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Publications in Category "In Journal"

1. Y. Long, B. Rivard, A. Sanchez-Azofeifa, R. Greiner, D. Harrison, S. Jia. "Identification of spectral features in the Longwave Infrared (LWIR) spectra of leaves for the discrimination of tropical dry forest tree species". International Journal of Applied Earth Observation and Geoinformation, February 2021. view
2. P. Ramazi, M. Kunegel-Lion, R. Greiner, M. Lewis. "Predicting Insect Outbreaks Using Machine Learning: A Mountain Pine Beetle Case Study". Ecology and Evolution, February 2021. view
3. N. Borle, E. Ryan, R. Greiner. "The Challenge of Predicting Meal-to-meal Blood Glucose Concentration changes for Patients with Type I Diabetes". Health Informatics Journal, January 2021. view
4. M. Cutumisu, S. Ghoman, C. Lu, S. Patel, C. Garcia-Hidalgo, C. Fray, M. Brown, G. Schmölzer. "Healthcare Providers’ Performance, Mindset, and Attitudes Towards a Neonatal Resuscitation Computer-based Simulator". Journal of Medical Internet Research (JMIR) Serious Games, December 2020. view
5. H. Jiang, P. Cao, M. Xu, J. Yang, O. Zaiane. "Hi-GCN: A hierarchical graph convolution network for graph embedding learning of brain network and brain disorders prediction ". Computers in Biology and Medicine, 127, December 2020. view
6. J. Gunther, E. Reichensdo, P. Pilarski, K. Diepold. "Interpretable PID parameter tuning for control engineering using general dynamic neural networks: An extensive comparison". PLoS One, (ed: Yanzheng Zhu), 15(12), pp e0243320, December 2020. PDFview
7. K. Wong, O. Zaiane, F. Davis, Y. Yasui. "A machine learning approach to predict ethnicity using personal name and census location in Canada ". PLoS One, 15(11), pp e0241239, November 2020. PDFview
8. S. Kalmady, A. Paul, R. Greiner, R. Agrawal, A. Amaresha, V. Shivakumar, J. Narayanaswamy, A. Greenshaw, S. Dursun, G. Venkatasubramanian. "Extending Schizophrenia diagnostic model to predict Schizotypy in first degree relatives". Nature Schizophrenia, November 2020. view
9. C. Federer, H. Xu, A. Fyshe, J. Zylberberg. "Improved object recognition using neural networks trained to mimic the brain’s statistical properties ". Neural Networks, 131, pp 103-114, November 2020. view
10. P. Ramazi, M. Kunegel-Lion, R. Greiner, M. Lewis. "Exploiting the Full Potential of Bayesian Networks in Predictive Ecology". Methods in Ecology and Evolution, October 2020. view
11. X. Qin, Z. Zhang, C. Huang, M. Dehghan, O. Zaiane, M. Jagersand. "U2-Net: Going Deeper with Nested U-Structure for Salient Object Detection". Pattern Recognition, 106, October 2020. view
12. S. ElAtia, D. Ipperciel, O. Zaiane, B. Bakhshinategh, P. Thibaudeau. "Graduate Attributes eAssessment Program". International Journal of Information and Learning Technology, August 2020. view
13. D. Gross, I. Steenstra, F. Harrell, C. Bellinger, O. Zaiane. "Machine Learning for Work Disability Prevention: Introduction to the Special Series". Journal of Occupational Rehabilitation, 30, pp 303-307, July 2020. PDFview
14. J. Castellanos-Cruz, M. Gomez-Medina, M. Tavakoli, P. Pilarski, K. Adams. "Comparison of Attentive and Explicit Eye Gaze Interfaces for Controlling Haptic Guidance of a Robotic Controller". Journal of Medical Robotics Research, 4(3), May 2020. view
15. H. Haider, B. Hoehn, S. Davis, R. Greiner. "Effective Ways to Build and Evaluate Individual Survival Distributions". Journal of Machine Learning Research (JMLR), 21(85), pp 1-63, May 2020. view
16. Y. Hu, R. Wong, O. Adesope, M. Taylor. "Effects of a computer-based learning environment that teaches older adults how to install a smart home system". Computers & Education, 149, May 2020. view
17. A. Valevicius, Q. Boser, E. Lavoie, C. Chapman, P. Pilarski, J. Hebert, A. Vette. "Characterization of normative angular joint kinematics during two functional upper limb tasks". Gait & Posture, 69, pp 176–186, March 2020. view
18. J. Gunther, N. Ady, A. Kearney, M. Dawson, P. Pilarski. "Examining the Use of Temporal-Difference Incremental Delta-Bar-Delta for Real-World Predictive Knowledge Architectures". Frontiers in Robotics and AI, 7, March 2020. PDFview
19. N. Bard, J. Foerster, S. Chandar, N. Burch, M. Lanctot, H. Song, E. Parisotto, V. Dumoulin, S. Moitra, E. Hughes, I. Dunning, S. Mourad, H. Larochelle, M. Bellemare, M. Bowling. "The Hanabi challenge: A new frontier for AI research". Artificial Intelligence, 280, pp 103216, March 2020. PDFview
20. A. Valevicius, Q. Boser, C. S.Chapman, P. Pilarski, A. Vette, J. Hebert. "Compensatory strategies of body-powered prosthesis users reveal primary reliance on trunk motion and relation to skill level". Clinical Biomechanics, 72, pp 122-129, February 2020. view
21. L. Liu, Y. Chen, J. Dong, R. Goebel, G. Lin, Y. Luo, G. Ni, B. Su, Y. Xu, A. Zhang. "Approximation algorithms for three-machine proportionate mixed shop scheduling". Theoretical Computer Science, 803, pp 57-70, January 2020. PDFview
22. X. Liu, L. Mou, H. Cui, Z. Lu, S. Song. "Finding decision jumps in text classification". Neurocomputing, 371, pp 177-187, January 2020. view
23. B. Ghazanfari, F. Afghah, M. Taylor. "Sequential association rule mining for autonomously extracting hierarchical task structures in reinforcement learning". IEEE Access, 8, pp 11782 - 11799, January 2020. PDFview
24. R. Ghoreishiamiri, G. Little, M. Brown, R. Greiner. "A Simple Classification Framework for Predicting Alzheimer's Disease from Region-based Grey Matter Volume and APOE Genotype Status". Artificial Intelligence Research, 8(2), pp 15-23, December 2019. PDFview
25. H. Williams, C. Chapman, P. Pilarski, A. Vette, J. Hebert. "Gaze and Movement Assessment (GaMA): Inter-site validation of a visuomotor upper limb functional protocol". PLoS One, (ed: Gavin Buckingham), 14(12), pp e0219333, December 2019. view
26. J. Wright, K. Leyton-Brown. "Level-0 Models for Predicting Human Behavior in Games". Journal of Artificial Intelligence Research (JAIR), 64, pp 357-383, December 2019. PDFview
27. A. Fyshe. "Studying Language in Context Using the Temporal Generalization Method". Philosophical Transactions of the Royal Society: Biological Sciences, 375(1791), pp n/a, December 2019. PDFview
28. P. Hernandez-Leal, B. Kartal, M. Taylor. "A survey and critique of multiagent deep reinforcement learning". Journal of Autonomous Agents and Multi-Agent Systems, 33(6), pp 750-797, November 2019. view
29. M. Gomez-Medina, J. Castellanos-Cruz, A. Rincon, P. Pilarski, K. Adams. "Comparison between two different prompting conditions when children use a lego robot to perform a set of tasks". Assistive Technology, 31(5), November 2019. view
30. L. Kumar, R. Greiner. "Gene expression based survival prediction for cancer patients: A topic modeling approach". PLoS One, 14(11), pp e0224446, November 2019. view
31. G. Jr., Y. Du, M. Taylor. "Pre-training with non-expert human demonstration for deep reinforcement learning". The Knowledge Engineering Review, 34, pp e10, November 2019. view
32. S. Emam, A. Du, P. Surmanowicz, S. Thomsen, R. Greiner, R. Gniadecki. "Predicting the long-term outcomes of biologics in psoriasis patients using machine learning". British Journal of Dermatology, November 2019. view
33. B. Banerjee, S. Vittanala, M. Taylor. "Team learning from human demonstration with coordination confidence". The Knowledge Engineering Review, 34, pp e12, November 2019. view
34. J. Serrano-Lomelin, C. Nielsen, M. Jabbar, O. Wine, C. Bellinger, P. Villeneuve, D. Stieb, N. Aelicks, K. Aziz, I. Buka, S. Chandra, S. Crawford, P. Demers, A. Erickson, P. Hystad, M. Kumar, E. Phipps, P. Shah, Y. Yuan, O. Zaiane, A. Osornio-Vargas. " Interdisciplinary-driven hypotheses on spatial associations of mixtures of industrial air pollutants with adverse birth outcomes". Environment International Journal, 131(13), pp 1-7, October 2019. view
35. X. Gao, J. Wright, K. Leyton-Brown. "Incentivizing evaluation with peer prediction and limited access to ground truth". Artificial Intelligence, 275, pp 618-638, October 2019. PDFview
36. L. Lei, M. Magyar-Ng, Y. Mikami, S. Kalmady, B. Hoehn, S. Dykstra, B. Heydari, J. Flewitt, N. Merchant, A. Howarth, C. Lydell, R. Greiner, N. Fine, J. White. "Machine learning based automated diagnosis of ischemic vs non-ischemic dilated cardiomyopathy using 3D myocardial deformation analysis". European Heart Journal, 40(Supplement 1), October 2019. view
37. A. Fyshe, G. Sudre, L. Wehbe, N. Ra di, T. Mitchell. "The Lexical Semantics of Adjective Noun Phrases in the Human Brain". Human Brain Mapping, (ed: Peter T. Fox), 40(15), pp 4457-4469, October 2019. view
38. Y. Xu, Y. Chen, P. Zhang, R. Goebel. "Approximation algorithms for vertex happiness". Journal of Operations Research Society of China, 7(3), pp 429-448, September 2019. PDFview
39. J. Hebert, Q. Boser, A. Valevicius, H. Tanikawa, E. Lavoie, A. Vette, P. Pilarski, C. Chapman. "Quantitative Eye Gaze and Movement Differences in Visuomotor Adaptations to Varying Task Demands Among Upper-Extremity Prosthesis Users". JAMA Network Open, September 2019. PDFview
40. D. Goldstein, R. McAfee, S. Suri, J. Wright. "Learning When to Stop Searching". Management Science, pp 1-20, August 2019. view
41. D. Gross, I. Steenstra, W. Shaw, P. Yousefi, C. Bellinger, O. Zaiane. " Validity of the Work Assessment Triage Tool for Selecting Rehabilitation Interventions for Injured Workers". Journal of Occupational Rehabilitation, pp 1-13, July 2019. PDFview
42. Y. Chen, R. Goebel, G. Lin, B. Su, Y. Xu, A. Zhang. "An improved approximation algorithm for the minimum 3-path partition problem". Journal of Combinational Optimization, 38(1), pp 150-164, July 2019. PDFview
43. D. Manage, J. Lauzon, C. Jones, P. Ward, L. Pilarski, P. Pilarski, L. McMullen. "Detection of pathogenic Escherichia coli on potentially contaminated beef carcasses using cassette PCR and conventional PCR". BMC Microbiology, 19, July 2019. view
44. S. Morton, J. Kmec, M. Taylor. "It’s what you call it: Gendered framing and women’s and men’s interest in a robotics instruction task". International Journal of Gender, Science and Technology, 11(2), pp 313-331, July 2019. PDFview
45. K. Vu, R. Clark, C. Bellinger, G. Erickson, A. Osornio-Vargas, O. Zaiane, Y. Yuan. " The Index Lift in Data Mining has a Close Relationship with the Association Measure Relative Risk in Epidemiological Studies". BMC Medical Informatics and Decision Making, 19(112), June 2019. PDFview
46. J. Castellanos-Cruz, M. Gomez-Medina, M. Tavakoli, P. Pilarski, K. Adams. "Predicting the toys that children and participants with cerebral palsy want to reach while controlling a haptic telerobotic system". Assistive Technology, 31(5), June 2019. view
47. G. Wilson, C. Pereyda, N. Raghunath, G. Jr., S. Goel, S. Nesaei, B. Minor, M. Schmitter-Edgecombe, M. Taylor, D. Cook. "Analysis of university fitness center data uncovers interesting patterns, enables prediction". Cognitive Systems Research, 54, pp 258–272, May 2019. view
48. C. Bellinger, S. Sharma, N. Japkowicz, O. Zaiane. "Framework for Extreme Imbalance Classification: SWIM: Sampling With the Majority Class". Knowledge and Information Systems, 62(3), pp 841-866, May 2019. view
49. M. Cutumisu, C. Vasquez, M. Uhlich, P. Beatty, H. Mehrabani, R. Greiner, R. Djebah, A. Murtha, J. Lewis. "PROSPeCT: A Predictive Research Online System for Prostate Cancer Tasks". Journal of Clinical Oncology: Clinical Cancer Informatics, (3), pp 1-12, May 2019. PDFview
50. T. Ozaki, R. Goebel, K. Inoue. "From Fifth Generation Computing to Skill Science: A Biographical Essay of Koichi Furukawa". New Generation Computing, 37(2), pp 141-158, April 2019. PDFview
51. G. Stirnimann, M. Ebadi, B. Hoehn, I. Simone, V. Mazurak, R. Greiner, P. Tandon, A. Montano-Loza. "Predicting sarcopenia in patients with cirrhosis based on clinical and laboratory parameters using machine learning.". Journal of Hepatology, 70(1 Suppl), pp E683-E684, April 2019. view
52. O. Wine, O. Zaiane, A. Osornio-Vargas. "A collaborative research exploration of pollutant mixtures and adverse birth outcomes by using innovative spatial data mining methods: The DoMiNO Project". Challenges, 10.1(25), March 2019. PDFview
53. Y. Djoumbou Feunang, J. Fiamoncini, A. Gil-de-la-Fuente, R. Greiner, C. Manach, D. Wishart. "BioTransformer: a comprehensive computational tool for small molecule metabolism prediction and metabolite identification". Journal Of Cheminformatics, 11(2), January 2019. view
54. S. Bhusal, K. Khanal, S. Goel, M. Karkee, M. Taylor. "Bird deterrence in a vineyard using an unmanned aerial system (UAS)". Transactions of the ASABE, 62(2), pp 561–569, January 2019. view
55. Y. Chen, R. Goebel, G. Lin, B. Su, A. Zhang. "Open-shop scheduling for unit jobs under precedence constraints". Theoretical Computer Science, 803, pp 144-151, January 2019. PDFview
56. R. Goebel, M. Kim, E. Jonsson, U. Wolfaardt. "Strengthening and Accelerating Health Technology Assessments through Artificial Intelligence". International Journal of Technology Assessment in Health Care, 34(S1), pp 154-155, January 2019. PDFview
57. S. Kalmady, R. Greiner, R. Agrawal, V. Shivakumar, J. Narayanaswamy, M. Brown, A. Greenshaw, S. Dursun, G. Venkatasubramanian. "Towards artificial intelligence in mental health by improving schizophrenia prediction with multiple brain parcellation ensemble-learning". Nature Schizophrenia, 5(1), January 2019. view
58. J. Wright, K. Leyton-Brown. "Formalizing the Boundary Between Strategic and Nonstrategic Reasoning". December 2018. view
59. I. Wu, C. Lee, Y. Tian, M. Müller. "Guest editorial". IEEE Transactions on Games, 10(4), pp 333-335, December 2018. view
60. C. Gao, R. Hayward, M. Müller. "Move Prediction Using Deep Convolutional Neural Networks in Hex". IEEE Transactions on Games, 10(4), pp 336 - 343, December 2018. view
61. P. Cao, F. Ren, C. Wan, J. Yan, O. Zaiane. " Efficient multi-kernel multi-instance learning using weakly supervised and imbalanced data for diabetic retinopathy diagnosis". Computerized Medical Imaging and Graphics, 69, pp 112-124, November 2018. view
62. W. Luo, Y. Xu, B. Gu, W. Tong, R. Goebel, G. Lin. "Algorithms for communication scheduling in data gathering network with data compression". Algorithmica, 80(11), pp 3158-3176, November 2018. PDFview
63. M. Jabbar, L. Kumar, H. Samuel, M. Kim, S. Prabhakar, R. Goebel, O. Zaiane. "On Generality and Knowledge Transferability in Cross-Domain Duplicate Question Detection for Heterogeneous Community Question Answering". November 2018. PDFview
64. N. Sturtevant. "AI Education Matters: Teaching Search Algorithms". AI Matters, 4(3), pp 16-18, October 2018. PDFview
65. J. Tomczak, S. ZarÄ™ba, S. Ravanbakhsh, R. Greiner. "Low-dimensional Perturb-and-MAP approach for learning Restricted Boltzmann Machines". Neural Processing Letters, 50(2), pp 1401-1419, October 2018. PDFview
66. W. Luo, T. Luo, R. Goebel, G. Lin. "Rescheduling due to machine disruption to minimize the total weighted completion time". Journal of Scheduling, 21(5), pp 565-578, October 2018. PDFview
67. M. Uhlich, R. Greiner, B. Hoehn, M. Woghiren, I. Diaz, T. Ivanova, A. Murtha. "Improved Brain Tumor Segmentation via Registration-Based Brain ". Forecasting, 1(1), pp 59-69, September 2018. view
68. A. Rosenfeld, M. Cohen, M. Taylor, S. Kraus. "Leveraging human knowledge in tabular reinforcement learning: a study of human subjects". The Knowledge Engineering Review, 33, pp e14, September 2018. view
69. A. Summerville, S. Snodgrass, M. Guzdial, C. Holmgaard, A. Hoover, A. Isaksen, A. Nealen, J. Togelius. "Procedural Content Generation via Machine Learning (PCGML)". IEEE Transactions on Games, 10(3), pp 257-270, September 2018. view
70. N. Borle, M. Feghhi, E. Stroulia, R. Greiner, A. Hindle. "Analyzing The Effects of Test Driven Development In GitHub". Empirical Software Engineering, 23(4), pp 1931-1958, August 2018. view
71. B. Peng, J. MacGlashan, R. Loftin, M. Littman, D. Roberts, M. Taylor. "Curriculum design for machine learners in sequential decision tasks". IEEE Transactions on Emerging Topics in Computational Intelligence, 2(4), pp 268-277, August 2018. view
72. P. Cao, X. Liu, J. Yang, D. Zhao, M. Huang, O. Zaiane. "Generalized fused group lasso regularized multi-task feature learning for predicting cognitive outcomes in Alzheimers disease". Computer Methods and Programs in Biomedicine, 162, pp 19-45, August 2018. view
73. W. Tong, E. Miyano, R. Goebel, G. Lin. "An approximation scheme for minimizing the makespan of the parallel identical multi-stage flow-shops". Theoretical Computer Science, 734, pp 24-31, July 2018. PDFview
74. P. Cao, X. Liu, S. Liu, J. Yang, D. Zhao, M. Huang, O. Zaiane. "L_2,1 - L_1 regularized nonlinear multi-task representation learning for cognitive performance prediction of Alzheimer's disease". Pattern Recognition, 79, pp 195-215, July 2018. view
75. C. Gao, S. Yan, R. Hayward, M. Müller. "A Transferable Neural Network for Hex". Journal of the International Computer Games Association (ICGA), 40(3), pp 224-233, June 2018. view
76. A. Valevicius, Q. Boser, E. Lavoie, G. Murgatroyd, P. Pilarski, C. Chapman, A. Vette, J. Hebert. "Characterization of normative hand movements during two functional upper limb tasks". PLoS One, (ed: Antoine Nordez), 13(6), pp e0199549, June 2018. view
77. J. Travnik, K. Mathewson, R. Sutton, P. Pilarski. "Reactive reinforcement learning in asynchronous environments". Frontiers in Robotics and AI, 5, pp n/a, June 2018. PDFview
78. E. Lavoie, A. Valevicius, Q. Boser, O. Kovic, A. Vette, P. Pilarski, J. Hebert, C. Chapman. "Using synchronized eye and motion tracking to determine high-precision eye-movement patterns during object-interaction tasks". Journal of Vision (JOV), 18(6), June 2018. PDFview
79. W. Ji, S. Abourizk, O. Zaiane, Y. Li. " Complexity analysis approach for prefabricated construction products using uncertain data clustering". Journal of Construction Engineering and Management, 144(8), May 2018. PDFview
80. S. Tian, Y. Djoumbou Feunang, R. Greiner, D. Wishart. "CypReact: A Software Tool for in Silico Reactant Prediction for Human Cytochrome P450 Enzymes". Journal of Chemical Information and Modeling, 58(6), pp 1282–1291, May 2018. PDFview
81. D. Hunt, C. Figley, D. Manage, J. Lauzon, L. McMullen, P. Pilarski. "Monitoring food pathogens: Novel instrumentation for cassette PCR testing". PLoS One, (ed: Ruslan Kalendar), 13(5), pp e0197100, May 2018. view
82. B. Sen, N. Borle, R. Greiner, M. Brown. "A General Prediction Model for the Detection of ADHD and Autism using Structural and Functional MRI". PLoS One, 13(4), pp 1-28, April 2018. view
83. S. Liang, R. Vega, X. Kong, W. Deng, Q. Wang, M. Li, X. Hu, A. Greenshaw, R. Greiner, T. Li. "Neurocognitive Graphs of First-Episode Schizophrenia and Major Depression Based on Cognitive Features". Neuroscience Bulletin, 34(2), pp 312-320, April 2018. PDFview
84. M. Jabbar, C. Bellinger, O. Zaiane, A. Osornio-Vargas. " Discovering Co-location Patterns with Aggregated Spatial Transactions and Dependency Rules". International Journal of Data Science and Analytics, 5(2), pp 137-154, March 2018. PDFview
85. A. Andres, A. Montano-Loza, R. Greiner, M. Uhlich, P. Jin, B. Hoehn, D. Bigam, J. Shapiro, N. Kneteman. "A novel learning algorithm to predict individual survival after liver transplantation for primary sclerosing cholangitis". PLoS One, 13(3), pp e0193523, March 2018. view
86. J. Serrano-Lomelin, C. Nielsen, M. Jabbar, O. Wine, O. Zaiane, A. Osornio-Vargas. "An integrative and collaborative approach to associating adverse birth outcomes and industrial air pollution". Paediatrics and Child Health, 23, pp e39-e39, March 2018. view
87. Y. Xiao, R. Greiner, M. Lewis. "Evaluation of machine learning methods for predicting eradication of aquatic invasive species". Biological Invasions, 20(9), pp 2485-2503, March 2018. PDFview
88. M. Machado, M. Bellemare, E. Talvitie, J. Veness, M. Hausknecht, M. Bowling. "Revisiting the Arcade Learning Environment: Evaluation Protocols and Open Problems for General Agents". Journal of Artificial Intelligence Research (JAIR), 61, pp 523-562, March 2018. view
89. Q. Boser, A. Valevicius, E. Lavoie, C. Chapman, P. Pilarski, J. Hebert, A. Vette. "Cluster-based upper body marker models for three-dimensional kinematic analysis: Comparison with an anatomical model and reliability analysis". Journal of Biomechanics, 72, pp 228-234, February 2018. view
90. A. Narasimhan, R. Greiner, O. Bathe, V. Baracos, S. Damaraju. "Differentially expressed alternatively spliced genes in skeletal muscle from cancer patients with cachexia". Journal of Cachexia, Sarcopenia and Muscle, 9(1), pp 60-70, February 2018. PDFview
91. B. Bakhshinategh, O. Zaiane, S. ElAtia, D. Ipperciel. "Educational Data Mining Applications and Tasks: A Survey of the Last 10 Years". Education and Information Technologies, 23(1), pp 537-553, January 2018. PDFview
92. Z. Zheng, H. Zhou, S. Huang, L. Mou, X. Dai, J. Chen, Z. Tu. "Modeling past and future for neural machine translation". Transactions of the Association for Computational Linguistics, 6, pp 145–157, January 2018. PDFview
93. H. Yu, A. Mahmood, R. Sutton. "On Generalized Bellman Equations and Temporal-Difference Learning". Journal of Machine Learning Research (JMLR), 19(48), pp 1-49, January 2018. PDFview
94. P. Cao, X. Liu, J. Yang, D. Zhao, M. Huang, J. Zhang, O. Zaiane. "Nonlinearity-Aware based dimensionality reduction and over-sampling for AD/MCI classification from MRI Measures". Computers in Biology and Medicine, 91, pp 21-37, December 2017. view
95. P. Cao, X. Liu, O. Zaiane, D. Zhao. "Sparse shared structure based multi-task learning for MRI based Cognitive Performance prediction of Alzheimer's disease". Pattern Recognition, 72, pp 219-235, December 2017. view
96. C. Bellinger, M. Jabbar, O. Zaiane, A. Osornio-Vargas. "A Systematic Review of Data Mining and Machine Learning for Air Pollution Epidemiology". BMC Bioinformatics, 17(1), pp 907-926, November 2017. view
97. M. Bowling, N. Burch, M. Johanson, O. Tammelin. "Headsup limit hold’em poker is solved". Communications of the ACM, 60(11), pp 81-88, November 2017. view
98. J. Wright, K. Leyton-Brown. "Predicting Human Behavior in Unrepeated, Simultaneous-Move Games". Games and Economic Behavior, 106, pp 16-37, November 2017. PDFview
99. C. Largeron, P. Mougel, O. Benyahia, O. Zaiane. "DANCer: Dynamic Attributed Networks with Community Structure Generation". Knowledge and Information Systems, 53(1), pp 109-151, October 2017. view
100. R. Holte, A. Felner, G. Sharon, N. Sturtevant, J. Chen. "MM: A Bidirectional Search That Is Guaranteed to Meet in the Middle". Artificial Intelligence (AIJ), 252, pp 232-266, August 2017. PDFview
101. J. Li, O. Zaiane. " Exploiting Statistically Significant Dependent Rules for Associative Classification". Intelligent Data Analysis, 21(5), pp 1155-1172, July 2017. PDFview
102. F. Seyednasrollah, D. Koestler, T. Wang, S. Piccolo, R. Vega, R. Greiner, C. Fuchs, E. Gofer, L. Kumar. "A DREAM Challenge to build prediction models for short-term discontinuation of docetaxel in metastatic castration-resistant prostate cancer". Journal of Clinical Oncology: Clinical Cancer Informatics, (1), pp 1-15, July 2017. PDFview
103. S. Liang, W. Deng, Q. Wang, M. Li, M. Juhas, X. Li, R. Greiner, A. Greenshaw, T. Li. "Convergence and divergence of neurocognitive patterns in schizophrenia and depression.". Schizophrenia Research, 192, pp 327-334, June 2017. PDFview
104. W. El-Rab, O. Zaiane, M. El-Hajj. "Formalizing Clinical Practice Guidelines for Clinical Decision Support Systems". Health Informatics Journal, 23(2), pp 146-156, June 2017. view
105. A. Yaddolahi, A. Shahraki, O. Zaiane. " Current State of Text Sentiment Analysis from Opinion to Emotion Mining". ACM Computing Surveys, 50(2), pp 1-25, 33, May 2017. PDFview
106. Y. Ye, Z. Wang, D. Jones, L. He, M. Taylor, G. Hollinger, Q. Zhang. "Bin-dog: A robotic platform for bin management in orchards". Robotics, 6(2), May 2017. view
107. M. Moravcík, M. Schmid, N. Burch, V. Lisy, D. Morrill, N. Bard, T. Davis, K. Waugh, M. Johanson, M. Bowling. "Deepstack: Expert-level artificial intelligence in heads-up no-limit poker". Science, 356(6337), pp 508-513, May 2017. view
108. M. Gheiratmand, I. Rish, G. Cecchi, M. Brown, R. Greiner, P. Bashivan, A. Greenshaw, R. Ramasubbu, S. Dursun. "Learning stable and predictive network-based patterns of schizophrenia and its clinical symptoms". Nature Schizophrenia, 3, pp 22, May 2017. PDFview
109. P. Cao, X. Liu, J. Yang, D. Zhao, W. Li, M. Huang, O. Zaiane. "A Multi-kernel based framework for heterogeneous feature selection and oversampling for computer-aided detection of pulmonary nodules". Pattern Recognition, 64, pp 327-346, April 2017. view
110. P. Cao, X. Liu, D. Zhao, M. Huang, O. Zaiane, J. Zhang, W. Li. "L2,1-norm regularized multi-kernel based joint nonlinear feature selection and over-sampling for imbalanced data classification". Neurocomputing, 234(C), pp 38-57, April 2017. view
111. M. Gheiratmand, I. Rish, G. Cecchi, M. Brown, R. Greiner, P. Bashivan, P. Polosecki, S. Dursun. "Learning Discriminative Functional Network Features of Schizophrenia". SPIE Medical Imaging, pp 101371A, April 2017. PDFview
112. P. Cao, X. Liu, D. Zhao, M. Huang, O. Zaiane, J. Zhang, W. Li. "A L2,1 norm regularized multi-kernel learning for false positive reduction in Lung nodule CAD". Computer Methods and Programs in Biomedicine, 140(C), pp 211-231, March 2017. view
113. R. Wang, A. Wang, T. Syed, O. Zaiane. "Scalable Local Community Detection with MapReduce for Large Networks". International Journal of Data Mining and Knowledge Management Process, 7(2), pp 25-49, March 2017. view
114. E. Ryan, J. Holland, E. Stroulia, B. Bazelli, S. Babwik, H. Li, P. Senior, R. Greiner. "Improved A1C Levels in Type 1 Diabetes with Smartphone App Use". Canadian Journal of Diabetes, 41(1), pp 33-40, February 2017. PDFview
115. F. Ren, P. Cao, W. Li, D. Zhao, O. Zaiane. "Ensemble based adaptive over-sampling method for imbalanced data learning in computer aided detection of microaneurysm". Computerized Medical Imaging and Graphics, 55, pp 54-67, January 2017. view
116. J. Guinney, T. Wang, P. DREAM Community, R. Greiner, R. Vega, L. Kumar, J. Patel. "Prediction of overall survival for patients with metastatic castration-resistant prostate cancer: development of a prognostic model through a crowd-sourced challenge with open clinical trial data.". Lancet Oncology, 18(1), pp 132-142, January 2017. PDFview
117. J. Hu, T. Luo, X. Su, J. Dong, W. Tong, R. Goebel, Y. Xu, G. Lin. "Machine scheduling with a maintenance interval and job delivery coordination". Optimization Letters, 10(8), pp 1645-1656, December 2016. PDFview
118. A. Narasimhan, S. Ghosh, C. Stretch, R. Greiner, O. Bathe, V. Baracos, S. Damaraju. "Small RNAome profiling from human skeletal muscle: Novel miRNAs and their targets associated with cancer cachexia ". Journal of Cachexia, Sarcopenia and Muscle, 8(3), pp 405-416, December 2016. PDFview
119. Y. Djoumbou Feunang, R. Eisner, C. Knox, L. Chepelev, J. Hastings, G. Owen, E. Fahy, C. Steinbeck, S. Subramanian, E. Bolton, R. Greiner, D. Wishart. "ClassyFire: automated chemical classification with a comprehensive, computable taxonomy". Journal Of Cheminformatics, 8, pp 61, November 2016. view
120. S. Ghiassian, P. Jin, M. Brown, R. Greiner. "Using Functional or Structural Magnetic Resonance Images and Personal Characteristic Data to Identify ADHD and Autism". PLoS One, 11(12), pp e0166934, November 2016. view
121. A. Edwards, M. Dawson, J. Hebert, C. Sherstan, R. Sutton, K. Chan, P. Pilarski. "Application of Real-time Machine Learning to Myoelectric Prosthesis Control: A Case Series in Adaptive Switching". Prosthetics and Orthotics International, 40(5), pp 573–581, October 2016. PDFview
122. K. Aggarwal, A. Hindle, F. Timbers, E. Stroulia, T. Rutgers, R. Greiner. "Detecting Duplicate Bug Reports using a Hierarchy of Domain Knowledge Contexts". Journal of Software: Evolution and Process, 29(3), pp 1-15, October 2016. PDFview
123. J. Li, A. Adilmagambetov, M. Jabbar, O. Zaiane. "On Discovering Co-Location Patterns in Datasets: A Case Study of Pollutants and Child Cancer". Geoinformatica, 20(4), pp 651-692, October 2016. view
124. N. Sturtevant, V. Bulitko. "Scrubbing During Learning in Real-Time Heuristic Search". Journal of Artificial Intelligence Research (JAIR), 57, pp 307-343, October 2016. view
125. R. Vega, T. Sajed, K. Mathewson, K. Khare, P. Pilarski, R. Greiner, G. Sanchez-Ante, J. Antelis. "Assessment of feature selection and classification methods for recognizing motor imagery tasks from electroencephalographic signals". Artificial Intelligence Research, 6(1), pp 37-51, September 2016. PDFview
126. A. Trabelsi, O. Zaiane. "Mining Contentious Documents". Knowledge and Information Systems, 48(3), pp 537-560, September 2016. PDFview
127. R. Ramasubbu, M. Brown, F. Cortese, I. Gaxiola, A. Greenshaw, S. Dursun, B. Goodyear, R. Greiner. "Accuracy of Automated Classification of Major Depressive Disorder as a Function of Symptom Severity". NeuroImage: Clinical, 12, pp 320-331, July 2016. PDFview
128. F. Allen, A. Pon, R. Greiner, D. Wishart. "Computational prediction of electron ionization mass spectra to assist in GC-MS compound identification". Analytical Chemistry, 88(15), pp 7689-7697, July 2016. PDFview
129. F. Allen, R. Greiner, D. Wishart. "CFM-ID applied to CASMI 2014". Current Metabolomics, 5(1), pp 35-39, June 2016. view
130. J. Günther, P. Pilarski, H. Shen, K. Diepold. "Intelligent laser welding through representation, prediction, and control learning: An architecture with deep neural networks and reinforcement learning". Mechatronics, 34, March 2016. view
131. R. Sutton, A. Mahmood, M. White. "An Emphatic Approach to the Problem of Off-policy Temporal-Difference Learning". Journal of Machine Learning Research (JMLR), (ed: Shie Mannor), 17(73), pp 1-29, January 2016. view
132. W. Tong, R. Goebel, G. Lin. "Smoothed heights of tries and patricia tries". Theoretical Computer Science, 609(Part 3), pp 620-626, January 2016. PDFview
133. H. Seije, A. Mahmood, P. Pilarski, M. Machado, R. Sutton. "True Online Temporal-Difference Learning". Journal of Machine Learning Research (JMLR), 17(145), pp n/a, January 2016. PDFview
134. M. Elgendi, S. Kumar, L. Guo, J. Rutledge, J. Coe, R. Zemp, D. Schuurmans, I. Adatia. "Detection of heart sounds in children with and without pulmonary hypertension---Daubecheis wavelets approach". PLoS One, 10(12), pp 1-22, December 2015. view
135. A. Abnar, M. Takaffoli, R. Rabbany, O. Zaiane. "SSRM: structural social role mining for dynamic social networks". Social Network Analysis and Mining, 5(1), December 2015. view
136. M. Elgendi, P. Bobhate, S. Jain, L. Guo, S. Kumar, J. Rutledge, Y. Coe, R. Zemp, D. Schuurmans, I. Adatia. "The unique heart sound signature of children with pulmonary artery hypertension". Pulmonary Circulation, 5(4), pp 631-639, December 2015. view
137. A. Trabelsi, O. Zaiane. " Extraction and Clustering of Arguing Expressions in Contentious Text". Data and Knowledge Engineering, 100(PB), pp 226-239, November 2015. PDFview
138. P. Pilarski, A. Edwards, K. Chan. "Novel Control Strategies for Arm Prostheses: A Partnership Between Man and Machine". The Japanese Journal of Rehabilitation Medicine, 52(2), pp 91-95, November 2015. PDFview
139. S. Ravanbakhsh, R. Greiner. "Perturbed Message Passing for Constraint Satisfaction Problems". Journal of Machine Learning Research (JMLR), (ed: Alexander Ihler), 16(37), pp 1249−1274, October 2015. PDFview
140. R. Rabbany, O. Zaiane. "Generalization of Clustering Agreements and Distances for Overlapping Clusters and Network Communities". Data Mining and Knowledge Discovery, 20(5), pp 1458-1485, September 2015. view
141. M. Kim, Y. Xu, O. Zaiane, R. Goebel. "Recognition of Patient-related Named Entities in Noisy Tele-health Texts". ACM Transactions on Intelligent Systems and Technology, 6(4), pp 1-59, August 2015. PDFview
142. F. Allen, R. Greiner, D. Wishart. "Competitive fragmentation modeling of ESI-MS/MS spectra for putative metabolite identification". Metabolomics, 11(1), pp 98-110, June 2015. PDFview
143. O. Zaiane, K. Yacef. " MOOCs are not MOOCs yet: Requirements for a true MOOC or MOOC 2.0". Queen's Education Letter, 16(Spring/Summer Issue), pp 17-21, May 2015. view
144. S. Ravanbakhsh, P. Liu, T. Bjorndahl, R. Mandal, J. Grant, M. Wilson, R. Eisner, I. Sinelnikov, X. Hu, C. Luchinat, R. Greiner, D. Wishart. "Accurate, fully-automated NMR spectral profiling for metabolomics". PLoS One, 10(5), pp e0132873, May 2015. view
145. M. Goldenberg, A. Felner, R. Stern, G. Sharon, N. Sturtevant, R. Holte, J. Schaeffer. "Enhanced Partial Expansion A*". Journal of Artificial Intelligence Research (JAIR), 50, pp 141-187, May 2015. view
146. C. Largeron, P. Mougel, R. Rabbany, O. Zaiane. "Generating Attributed Networks with Communities". PLoS ONE (Public Library of Science), 10(4), pp e0122777, April 2015. view
147. G. Sharon, R. Stern, A. Felner, N. Sturtevant. "Conflict-based Search for Optimal Multi-agent Pathfinding". Artificial Intelligence, 219, pp 40-66, February 2015. view
148. J. Patel, N. Asgarian, P. Robson, R. Greiner, J. Mackey, S. Damaraju. " Gene-environment-lifestyle factors in breast cancer susceptibility: Machine Learning tools to build predictive models". Journal of Carcinogenesis, 14(Suppl 1), pp S16-S20, January 2015. view
149. M. Bowling, N. Burch, M. Johanson, O. Tammelin. "Headsup limit hold’em poker is solved". Science, 347(6218), pp 145-149, January 2015. view
150. M. Elgendi, P. Bobhate, S. Jain, J. Rutledge, J. Coe, R. Zemp, D. Schuurmans, I. Adatia. "Time-domain analysis of heart sound intensity in children with and without pulmonary artery hypertension: a pilot study using a digital stethoscope". Pulmonary Circulation, 4(4), pp Elgendi, M., Bobhate, P., Jain, S., Rutledge, J., Coe, J. Y., Zemp, R., Schuurmans, D., & Adatia, I. (2014). Time-domain analysis of heart sound intensity in children with and without pulmonary artery hypertension: a pilot study using a digital steth, December 2014. view
151. P. Cao, D. Zhao, O. Zaiane. "Hybrid probabilistic sampling with random subspace for imbalanced data learning". Intelligent Data Analysis: An International Journal, 18(6), pp 1089-1108, November 2014. PDFview
152. L. Wehbe, B. Murphy, P. Talukdar, A. Fyshe, A. Ramdas, T. Mitchell. "Simultaneously Uncovering the Patterns of Brain Regions Involved in Di erent Story Reading Subprocesses". PLoS One, 9(11), pp e112575, November 2014. PDFview
153. W. Tong, R. Goebel, T. Liu, G. Lin. "Approximating the Maximum Multiple RNA Interaction Problem". Theoretical Computer Science, 556, pp 63-70, October 2014. PDFview
154. Y. Xu, G. Li, L. Mou, Y. Lu. "Learning non-taxomomic relations on demand for ontology extension". International Journal of Software Engineering and Knowledge Engineering, 24(8), pp 1159–1175, October 2014. view
155. H. Samuel, O. Zaiane. " A Repository of Codes of Ethics and Technical Standards in Health Informatics". Online Journal of Public Health Informatics, 6(2), September 2014. PDFview
156. Z. Chen, B. Fu, R. Goebel, G. Lin, W. Tong, J. Xu, B. Yang, Z. Zhao, B. Zhu. "On the approximability of the exemplar adjacency number problem for genomes with gene repetitions". Theoretical Computer Science, 550, pp 59-65, September 2014. PDFview
157. C. Castellini, P. Artemiadis, M. Wininger, A. Ajoudani, M. Alimusaj, A. Bicchi, B. Caputo, W. Craelius, S. Dosen, K. Englehart, D. Farina, A. Gijsberts, S. Godfrey, L. Hargrove, M. Ison, T. Kuiken, M. Marković, P. Pilarski, R. Rupp, E. Scheme. "Proceedings of the First Workshop on Peripheral Machine Interfaces: going beyond traditional surface electromyography". Frontiers in Neurorobotics, 8(22), August 2014. view
158. P. Pilarski. "Aligning homeostatic and heterostatic perspectives". Constructivist Foundations, 9(2), pp 213–215, July 2014. view
159. F. Allen, A. Pon, M. Wilson, R. Greiner, D. Wishart. "CFM-ID: A web server for annotation, spectrum prediction and metabolite identification from tandem mass spectra". Nucleic Acids Research (NAR), 42(W1), pp W94-W99, July 2014. PDFview
160. J. Schaeffer, M. Müller, A. Kishimoto. "Go-bot, Go". IEEE Spectrum, 51(7), pp 48-53, July 2014. view
161. S. Adamia, M. Bar-Natan, B. Haibe-Kains, P. Pilarski, C. Bach, S. Pevzner, T. Calimeri, H. Avet-Loiseau, L. Lode, S. Verselis, E. Fox, I. Galinsky, S. Mathews, I. Dagogo-Jack, M. Wadleigh, D. Steensma, G. Motyckova, D. Deangelo, J. Quackenbush, D. Tenen, R. Stone, J. Griffin. "NOTCH2 and FLT3 gene mis-splicing are common events in patients with acute myeloid leukemia (AML): new potential targets in AML". Blood, 123(18), pp 2816–2825, May 2014. view
162. P. Cao, D. Zhao, O. Zaiane. "Ensemble-based hybrid probabilistic sampling for imbalanced data learning in Lung nodule CAD". Computerized Medical Imaging and Graphics, 38(3), pp 137-150, April 2014. PDFview
163. J. Modayil, A. White, R. Sutton. "Multi-timescale Nexting in a Reinforcement Learning Robot". Adaptive Behavior, 22(2), pp 146-160, April 2014. PDFview
164. M. Elgendi, P. Bobhate, S. Jain, L. Guo, J. Rutledge, Y. Coe, R. Zemp, D. Schuurmans, I. Adatia. "Spectral analysis of the heart sounds in children with and without pulmonary artery hypertension". International Journal of Cardiology, 173(1), pp 92-99, April 2014. PDFview
165. S. Adamia, B. Haibe-Kains, P. Pilarski, M. Bar-Natan, S. Pevzner, H. Avet-Loiseau, L. Lode, S. Verselis, E. Fox, J. Burke, I. Galinsky, I. Dagogo-Jack, M. Wadleigh, D. Steensma, G. Motyckova, D. Deangelo, J. Quackenbush, R. Stone, J. Griffin. "A Genome-wide aberrant RNA splicing in patients with acute myeloid leukemia identifies novel potential disease markers and therapeutic targets". Clinical Cancer Research (CCR), 20(5), pp 1135-1145, March 2014. PDFview
166. J. Song, M. Müller. "An Enhanced Solver for the Game of Amazons". IEEE Transactions on Computational Intelligence and AI in Games, 7(1), pp 16-27, March 2014. view
167. O. Wine, C. Hackett, S. Campbell, O. Cabrera-Rivera, I. Buka, O. Zaiane, S. DeVito, A. Osornio-Vargas. "Using Pollutant Release and Transfer Register Data in Human Health Research: A Scoping Review". Environmental Reviews, 22(1), pp 51-65, March 2014. PDFview
168. T. MacKay, N. Bard, M. Bowling, D. Hodgins. "Do pokers players know how good they are? Accuracy of poker skill estimation in online and offline players". Computer in Human Behavior, 31, pp 419-424, February 2014. view
169. W. Shi, T. Yuzuru, R. Goebel. "A new database visualization framework for the automatic construction of nonstandard charts: Declarative definition of recreating the chart of Napoleon's Russa Campaign in 1812". Cartographica, 49(4), pp 241-261, January 2014. view
170. J. Gunther, P. Pilarski, G. Helfrich, H. Shen, K. Diepold. "First Steps Towards an Intelligent Laser Welding Architecture Using Deep Neural Networks and Reinforcement Learning". Procedia Technology, 15, pp 474-483, January 2014. PDFview
171. H. Nakhost, M. Müller. "Towards a Theory of Random Walk Planning: Regress Factors, Fair Homogeneous Graphs, and Extensions". AI Communications, 27(4), pp 329-344, January 2014. PDFview
172. R. Rabbany, M. Takaffoli, J. Fagnan, O. Zaiane, R. Campello. "Communities Validity: Methodical Evaluation of Community Mining Algorithms". Social Network Analysis and Mining, 3(4), pp 1039-1062, December 2013. PDFview
173. S. Wang, R. Greiner, S. Wang. "Consistency and Generalization Bounds for Maximum Entropy Density Estimation". Entropy, 15(12), pp 5439-5463, December 2013. PDFview
174. D. Gross, J. Zhang, I. Steenstra, S. Barnsley, C. Haws, T. Amell, G. McIntosh, J. Cooper, O. Zaiane. "Development of a computer-based clinical decision support tool for selecting appropriate rehabilitation interventions for injured workers". Journal of Occupational Rehabilitation, 23(4), pp 597-609, December 2013. PDFview
175. J. Zhang, P. Cao, D. Gross, O. Zaiane. "On the application of multi-class classification in physical therapy recommendation". Health Information Science and Systems, 1(15), December 2013. PDFview
176. M. Bastani, L. Vos, N. Asgarian, J. Deschenes, K. Graham, J. Mackey, R. Greiner. "A Machine Learned Classifier that uses Gene Expression Data to Accurately Predict Estrogen Receptor Status". PLoS One, 8(12), pp e82144, November 2013. PDFview
177. R. Eisner, R. Greiner, V. Tso, H. Wang, R. Fedorak. "A machine-learned predictor of colonic polyps based on urinary metabolomics". BioMed Research International, 2013(303982), November 2013. PDFview
178. S. Wang, S. Wang, L. Cheng, R. Greiner, D. Schuurmans. "Exploiting Syntactic, Semantic and Lexical Regularities in Language Modeling via Directed Markov Random Fields". Computational Intelligence, 29(4), pp 649–679, November 2013. PDFview
179. W. El-Rab, O. Zaiane, M. El-Hajj. "Analyzing the impact of UMLS relations on the Word Sense Disambiguation accuracy". Procedia Computer Science, 21, pp 295-301, October 2013. PDFview
180. M. Hajiloo, B. Damavandi, M. Hooshsadat, F. Sangi, J. Mackey, C. Cass, R. Greiner, S. Damaraju. "Breast Cancer Prediction Using Genome Wide Single Nucleotide Polymorphism Data ". BMC Bioinformatics, 14(Suppl 13), pp S3, October 2013. PDFview
181. J. Grefenstette, S. Brown, R. Rosenfeld, J. DePasse, N. Stone, P. Cooley, W. Wheaton, A. Fyshe, D. Galloway, A. Sriram, H. Guclu, T. Abraham, D. Burke. "FRED (a Framework for Reconstructing Epidemic Dynamics): An open-source software system for modeling infectious diseases and control strategies using census-based populations". BMC Public Health, 13(940), pp n/a, October 2013. view
182. S. Adamia, P. Pilarski, M. Bar-Natan, R. Stone, J. Griffin. "Alternative splicing in chronic myeloid leukemia (CML): a novel therapeutic target?". Current Cancer Drug Targets, 13(7), pp 735–748, September 2013. view
183. K. Solez, E. Waugh, O. Zaiane, J. Tuszynski, M. Woodside, D. Zakus, R. Lockwood, A. Bernier, J. Crichton, W. Marovitz, N. Sandhu, C. Sergi, S. Pandya, A. Saleh, H. Graves, P. Kuttikat, R. Wyndham, M. Pallen, J. White. "Bridging the Gap between the Technological Singularity and Mainstream Medicine: Highlighting a Course on Technology and the Future of Medicine". Global Journal of Health Science, 5(6), September 2013. view
184. S. Grange, K. Chettiar, M. Arestu, P. Pilarski, P. Smitham, M. Loizidou, G. Jell. "Nanotechnology & Medical Devices: Risk, Regulation and ‘Meta’ Registration". World Journal of Engineering, 10(3), pp 191-198, September 2013. PDFview
185. B. Anton, Y. Chang, P. Brown, H. Choi, L. Faller, J. Guleria, Z. Hu, N. Klitgord, V. Mazumdar, M. McGettrick, L. Osmani, R. Pokrzywa, J. Rachlin, R. Swaminathan, C. Monahan, K. Rochussen, K. Tao, A. Bhagwat, S. Brenner, L. Columbus, A. Fomenkov, G. Gadda, R. Morgan, A. Osterman, D. Rodionov, I. Rodionova, K. Rudd, D. Söll, J. Spain, S. Xu, A. Bateman, R. Blumenthal, J. Bollinger, I. Friedberg, M. Galperin, J. Gobeill, D. Haft, J. Hunt, P. Karp, W. Klimke, C. Krebs, M. Martin, J. Miller, C. O'Donovan, B. Palsson, P. Ruch, A. Setterdahl, G. Sutton, J. Tate, A. Yakunin, D. Tchigvintsev, G. Plata, J. Hu, R. Greiner, D. Horn, K. Sjölander, S. Salzberg, D. Vitkup, S. Letovsky, D. Segrè, C. DeLisi, R. Roberts, M. Steffen, S. Kasif. "The COMBREX Project: Design, Methodology, and Initial Results". PLOS Biology, 11(8), pp e1001638, August 2013. PDFview
186. L. Pilarski, C. Marun, L. Martin, C. Venner, P. Pilarski, A. Belch. "B Lymphocytes as Cancer Stem Cells in Multiple Myeloma". Journal of Oncopathology, 1(2), pp 11-22, July 2013. view
187. J. Wright, K. Leyton-Brown. "Evaluating, Understanding, and Improving Behavioral Game Theory Models For Predicting Human Behavior in Unrepeated Normal-Form Games". June 2013. PDFview
188. H. Samuel, O. Zaiane. "On Management of the Health Content Lifecycle". Journal of Public Health Frontiers, 2(2), pp 83-96, June 2013. PDFview
189. M. Bellemare, Y. Naddaf, J. Veness, M. Bowling. "The arcade learning environment: An evaluation platform for general agents". Journal of Artificial Intelligence Research (JAIR), 47, pp 253–279, June 2013. PDFview
190. S. Adamia, P. Pilarski, A. Belch, L. Pilarski. "Aberrant Splicing, Hyaluronan Synthases and Intracellular Hyaluronan as Drivers of Oncogenesis and Potential Drug Targets". Current Cancer Drug Targets, 13(4), pp 347–361, May 2013. view
191. A. Afkanpour, C. Szepesvari, M. Bowling. "Alignment based kernel learning with a continuous set of base kernels". Machine Learning, 91, pp 305–324, May 2013. PDFview
192. S. Ravanbakhsh, M. Gajewski, R. Greiner, J. Tuszynski. "Determination of the optimal tubulin isotype target as a method for the development of individualized cancer chemotherapy". Theoretical Biology and Medical Modelling, 10(29), pp n/a, April 2013. PDFview
193. C. Stretch, S. Khan, N. Asgarian, R. Eisner, S. Vaisipour, S. Damaraju, O. Bathe, H. Steed, R. Greiner, V. Baracos. "Effects of sample size on differential gene expression, rank order and prediction accuracy of a gene signature". PLoS One, 8(6), pp e65380, April 2013. PDFview
194. P. Pilarski, M. Dawson, T. Degris, J. Carey, K. Chan, J. Hebert, R. Sutton. "Adaptive Artificial Limbs: A Real-time Approach to Prediction and Anticipation". IEEE Robotics and Automation Magazine, 20(1), pp 53-64, March 2013. view
195. M. Hajiloo, Y. Sapkota, J. Mackey, P. Robson, R. Greiner, S. Damaraju. "ETHNOPRED: a Novel Machine Learning Method for Accurate Continental and Sub-continental Ancestry Identification and Population Stratification Correction". BMC Bioinformatics, 14(61), February 2013. PDFview
196. S. Fernando, M. Müller. "Analyzing Simulations in Monte Carlo Tree Search for the Game of Go". Computers and Games, pp 72-83, January 2013. view
197. S. Huang, B. Arneson, R. Hayward, M. Müller. "MoHex 2.0: a pattern-based MCTS Hex player". Computers and Games, pp 39-48, January 2013. PDFview
198. H. Sabaa, Z. Cai, Y. Wang, R. Goebel, S. Moore, G. Lin. "Whole Genome Identity-by-Descent Determination". Journal of Bioinformatics and Computational Biology, 11(2), pp n/a, January 2013. PDFview
199. D. Wishart, T. Jewison, A. Guo, M. Wilson, C. Knox, Y. Liu, Y. Djoumbou Feunang, R. Mandal, F. Aziat, E. Dong, S. Bouatra, I. Sinelnikov, D. Arndt, J. Xia, P. Liu, F. Yallou, T. Bjorndahl, R. Perez-Pineiro, R. Eisner, F. Allen, V. Neveu, R. Greiner, A. Scalbert. "HMDB 3.0 - The Human Metabolome Database in 2013". Nucleic Acids Research (NAR), 41(Database), pp D801–D807, November 2012. PDFview
200. G. Sidhu, N. Asgarian, R. Greiner, M. Brown. "Kernel Principal Component Analysis for dimensionality reduction in fMRI-based diagnosis of ADHD". Frontiers in Systems Neuroscience, (ed: Michael Milham), 6(74), October 2012. PDFview
201. M. Brown, G. Sidhu, R. Greiner, N. Asgarian, M. Bastani, P. Silverstone, A. Greenshaw, S. Dursun. "ADHD-200 Global Competition: Diagnosing ADHD using personal characteristic data can outperform resting state fMRI measurements ". Frontiers in Systems Neuroscience, (ed: Michael Milham), 6(10), pp n/a, September 2012. PDFview
202. Y. Wang, Z. Cai, P. Stothard, S. Moore, R. Goebel, L. Wang, G. Lin. "Fast Accurate Missing SNP Genotype Local Imputation". BMC Research Notes, 5, pp 404, August 2012. PDFview
203. D. Lizotte, R. Greiner, D. Schuurmans. "An Experimental Methodology for Response Surface Optimization Methods". Journal of Global Optimization, 53(4), pp 699-736, June 2012. view
204. M. Kim, R. Goebel. "Adaptive-capacity and Robust Natural Language Watermarking for Agglutinative Languages". Security and Communication Networks, 5(3), pp 301-310, May 2012. PDFview
205. G. Lin, R. Goebel, Z. Li, L. Wang. "An Improved Approximation Algorithm for the Complementary Maximum Strip Recovery Problem". Journal of Computer and Systems Sciences, 78(3), pp 720-730, May 2012. PDFview
206. G. Melli, X. Wu, P. Beinat, F. Bonchi, L. Cao, R. Duan, C. Faloutsos, R. Ghani, B. Kitts, B. Goethals, G. McLachlan, J. Pei, A. Srivastava, O. Zaiane. " Top-10 Data Mining Case Studies". International Journal of Information Technology and Decision Making, 11(2), pp 389-400, March 2012. view
207. B. Seck, C. Caia, A. Dallagi, J. Forbes, R. Goebel, G. Anthieren, J. Kresta. "Stability Analysis and Regularization of Uncertain Linear Multi-objective Integer Optimization Problems". Engineering Optimization, 44(11), pp 1279-1302, March 2012. PDFview
208. D. Moulavi, M. Hajiloo, J. Sander, P. Halloran, R. Greiner. "Combining Gene Expression and Interaction Network Data to Improve Kidney Lesion Score Prediction". International Journal of Bioinformatics Research and Applications, 8(1/2), pp 54-66, January 2012. view
209. C. Stretch, T. Eastman, R. Mandal, R. Eisner, D. Wishart, M. Mourtzakis, C. Prado, S. Damaraju, R. Ball, R. Greiner, V. Baracos. "Prediction of skeletal muscle and fat mass in patients with advanced cancer using a metabolomic approach". Journal of Nutrition, 142(1), pp 14-21, January 2012. PDFview
210. A. Zarnani, P. Musilek, X. Shi, X. Ke, H. He, R. Greiner. "Learning to Predict Ice Accretion on Electric Power Lines". Engineering Applications of Artificial Intelligence, 25(3), December 2011. view
211. R. Rabbany, M. Takaffoli, O. Zaiane. "Social Network Analysis and Mining to Support the Assessment of Online Student Participation". ACM SIGKDD Explorations, 13(2), December 2011. view
212. T. Braun, Z. Zhu, G. Scott, A. Grossberg, P. Levasseur, K. Graham, S. Khan, S. Damaraju, V. Baracos. "Central nervous system inflammation induces muscle atrophy via activation of the hypothalamic-pituitary-adrenal axis". Journal of Experimental Medicine, November 2011. view
213. B. Saha, N. Ray, R. Greiner, A. Murtha, H. Zhang. "Quick Detection of Brain Tumors and Edemas: A Bounding Box Method Using Symmetry". Computerized Medical Imaging and Graphics, August 2011. view
214. R. Eisner, J. Xia, D. Hau, T. Eastman, C. Stretch, S. Damaraju, R. Greiner, D. Wishart, V. Baracos. "Learning to predict cancer-associated skeletal muscle wasting from 1H-NMR profiles of urinary metabolites ". Metabolomics, 7(1), pp 25-34, March 2011. view
215. B. Sehrawat, M. Sridharan, S. Ghosh, P. Robson, C. Cass, J. Mackey, R. Greiner, S. Damaraju. "Potential novel candidate polymorphisms identified in genome-wide association study for breast cancer susceptibility". Human Genetics, March 2011. view
216. N. Psychogios, D. Hau, J. Peng, A. Guo, R. Mandal, S. Bouatra, I. Sinelnikov, R. Krishnamurthy, R. Eisner, B. Gautam, N. Young, J. Xia, C. Knox, E. Dong, P. Huang, Z. Hollander, T. Pedersen, S. Smith, F. Bamforth, R. Greiner, B. McManus, J. Newman, T. Goodfriend, D. Wishart. "The Human Serum Metabolome". PLoS One, 6(2), February 2011. view
217. M. Takaffoli, F. Sangi, J. Fagnan, O. Zaiane. " Community Evolution Mining in Dynamic Social Networks". Procedia - Social and Behavioral Sciences, 22, pp 49-58, January 2011. PDFview
218. Z. Cai, R. Goebel, G. Lin. "Size-constrained Tree Partitioning: Approximating the Multicast k-tree Routing Problem". Theoretical Computer Science, 412(3), pp 240-245, January 2011. PDFview
219. A. Foss, O. Zaiane. " Class Separation through Variance: A new Application of Outlier Detection". Knowledge and Information Systems, 29(3), pp 565-596, November 2010. PDFview
220. J. Chen, O. Zaiane, J. Sander, R. Goebel. "ONDOCS: Ordering Nodes to Detect Overlapping Community Structure". Annuals of Information Systems, 12, pp 125-148, October 2010. PDFview
221. S. Oliveira, O. Zaiane. "Privacy preserving Clustering by Data Transformation". Journal of Information & Data Management, 1(1), pp 37-51, October 2010. view
222. S. Oliveira, O. Zaiane. "Revisiting Privacy preserving Clustering by Data Transformation". Journal of Information & Data Management, 1(1), pp 53-56, October 2010. view
223. A. Kerhet, C. Small, H. Quon, T. Riauka, L. Schrader, R. Greiner, D. Yee, A. McEwan, W. Rao. "Application of Machine Learning Methodology for PET-Based Definition of Lung Cancer". Current Oncology, 17(1), pp 41-46, July 2010. view
224. N. Asgarian, X. Hu, Z. Aktary, K. Chapman, L. Lam, R. Chibbar, J. Mackey, R. Greiner, M. Pasdar. "Learning to Predict Relapse In Invasive Ductal Carcinomas based on the Subcellular Localization of Junctional Proteins". Breast Cancer Research and Treatment, 121(2), pp 527, May 2010. view
225. O. Schulte, W. Luo, R. Greiner. "Mind Change Optimal Learning of Bayes Net Structure from Dependency and Independency Data". Information and Computation, 208(1), pp 63--82, March 2010. view
226. B. Bostan, R. Greiner, D. Szafron, P. Lu. "Predicting Homologous Signaling Pathways Using Machine Learning". Bioinformatics, September 2009. view
227. D. Perera, J. Kay, I. Koprinska, K. Yacef, O. Zaiane. "Clustering and Sequential Pattern Mining of Online Collaborative Learning Data". IEEE Transaction on Knowledge and Data Engineering, 21(6), pp 759-772, June 2009. view
228. X. Su, T. Khoshgoftaar, R. Greiner. "Making an accurate classifier ensemble by voting on classifications from imputed learning sets". International Journal of Information and Decision Sciences, (ed: Dr. Reda Alhajj and Dr. Kang Zhang), 1(3), pp 301-322, June 2009. PDFview
229. Y. Cheng, H. Sabaa, Z. Cai, R. Goebel, G. Lin. "Efficient Haplotype Inference Algorithms in One Whole Genome Scan for Pedigree Data with Non-Genotyped Founders". 25(3), pp 477-488, May 2009. PDFview
230. Z. Cai, H. Sabaa, Y. Wang, R. Goebel, Z. Wang, J. Xu, P. Stothard, G. Lin. "Most Parsimonious Haplotype Allele Sharing Determination". BMC Bioinformatics, 10, pp n/a, April 2009. PDFview
231. H. Fan, O. Zaiane, A. Foss, J. Wu. "Resolution-based outlier factor: detecting the top- n most outlying data points in engineering data". Knowledge and Information Systems, 19(1), pp 31-51, April 2009. view
232. S. Nagaraj, S. Khan, C. Schlegel, M. Burnashev. "Differential Preamble Detection In Packet Based Wireless Networks". IEEE Transactions On Wireless Communications, February 2009. view
233. D. Wishart, C. Knox, A. Guo, R. Eisner, N. Young, B. Gautam, D. Hau, N. Psychogios, E. Dong, S. Bouatra, R. Mandal, I. Sinelnikov, J. Xia, L. Jia, J. Cruz, J. Lim, S. Shrivastava, J. Huang, P. Liu, C. Sobsey, L. Fang, R. Greiner, L. Li, H. Vogel, I. Forsythe. "HMDB: a knowledgebase for the human metabolome". Nucleic Acids Research (NAR), 37 (Database issue), January 2009. view
234. I. Cheng, A. Basu, R. Goebel. "Interactive Multimedia for Adaptive Online Education". IEEE MultiMedia Magazine, 16(1), pp 16-25, January 2009. view
235. S. Damaraju, B. Sehrawat, D. Carandang, R. Penugonde, R. Greiner, M. Parliament. "Candidate and Whole-Genome SNP Association Studies of Late Radiation Toxicity in Prostate Cancer Patients". Radiation Research, 170, pp 671-672, September 2008. view
236. A. Fyshe, Y. Liu, D. Szafron, R. Greiner, P. Lu. "Improving Subcellular Localization Prediction using Text Classification and the Gene Ontology". Bioinformatics, August 2008. view
237. D. Wishart, M. Lewis, J. Morrisey, M. Flegel, Y. Xiong, K. Jeroncic, D. Cheng, R. Eisner, B. Gautam, D. Tzur, S. Sawhney, F. Bamforth, R. Greiner, L. Li. "The Human Cerebrospinal Fluid Metabolome". Journal of Chromatography B-Analytical Technologies in the Biomedical and Life Sciences, August 2008. view
238. G. Lin, Z. Cai, J. Wu, X. Wan, L. Xu, R. Goebel. "Identifying a Few Foot-and-Mouth Disease Virus Signature Nucleotide Strings for Computational Genotyping". BMC Bioinformatics, 9, pp n/a, June 2008. PDFview
239. H. Fan, S. Abourizk, H. Kim, O. Zaiane. "Assessing Residual Value of Heavy Construction Equipment Using Prediuctive Data Mining Model". ASCE Journal of Computing in Civil Engineering, 22(3), pp 181-191, May 2008. view
240. C. Lee, O. Zaiane, H. Park, J. Huang, R. Greiner. "Clustering High Dimensional Data: A Graph-Based Relaxed Optimization Approach". Information Sciences, 178(23), pp 4501-4511, May 2008. view
241. I. Levner, H. Zhang, R. Greiner. "Heterogeneous Stacking for Classification Driven Watershed Segmentation". EURASIP Journal on Advances in Signal Processing, 2008(Article ID 485821 (9 pages)), January 2008. view
242. N. Ray, R. Greiner, A. Murtha. "Using Symmetry to Detect Abnormalities in Brain MRI". Computer Society of India Communications, 31(19), pp 7--10, January 2008. PDFview
243. A. Milstein, T. Wang. "Dynamic motion models in Monte Carlo Localization". Integrated Computer-Aided Engineering, 14(3), pp 243-262, December 2007. view
244. A. Stubbe, C. Ringlstetter, K. Schulz. "Genre as Noise: Noise in Genre". International Journal on Document Analysis and Recognition (IJDAR), December 2007. view
245. S. Oliveira, O. Zaiane. " A Privacy-Preserving Clustering Approach Toward Secure and Effective Data Analysis for Business Collaboration". Journal on Computers and Security, 26(1), pp 81-93, October 2007. PDFview
246. C. Ringlstetter, K. Schulz, S. Mihov. "Adaptive Text Correction with Web-Crawled Domain Dependent Dictionaries". ACM Transactions on Speech and Language Processing (TSLP), October 2007. view
247. L. Li, V. Bulitko, R. Greiner. "Focus of Attention in Reinforcement Learning". Journal of Universal Computer Science, 13(9), pp 24, October 2007. PDFview
248. T. Van Allen, A. Singh, R. Greiner, P. Hooper. "Quantifying the Uncertainty of a Belief Net Response: Bayesian Error-Bars for Belief Net Inference". Artificial Intelligence (AIJ), September 2007. view
249. E. Ludvig, K. Conover, P. Shizgal. "Effects of Reward Magnitude on Timing in Rats". Journal of Experimental Analysis of Behavior, 87, pp 201-218, August 2007. view
250. C. Slupsky, K. Rankin, H. Fu, D. Chang, E. Saude, B. Lix, D. Adamko, S. Shah, R. Greiner, B. Sykes, T. Marrie. "Investigations of the Effects of Gender, Diurnal Variation and Age in Human Urinary Metabolomic Profiles". Analytical Chemistry, August 2007. view
251. X. Wu, Z. Cai, X. Wan, T. Hoang, R. Goebel, G. Lin. "Nucleotide Composition String Selection in HIV-1 Subtyping Using Whole Genomes". Bioinformatics, 23(14), pp 1744-1752, August 2007. PDFview
252. A. Blum, T. Sandholm, M. Zinkevich. "Online Algorithms for Market Clearing". Journal of the ACM, 53(5), pp 845-879, August 2007. view
253. S. Oliveira, O. Zaiane. "Privacy-Preserving Clustering to Uphold Business Collaboration: A Dimensionality Reduction-Based Transformation Approach". International Journal of Information Security and Privacy , 1(2), pp 13-36, August 2007. PDFview
254. Z. Cai, R. Goebel, M. Salavatipour, G. Lin. "Selecting Dissimilar Genes for Multi-Class Classification: an Application in Cancer Subtyping". BMC Bioinformatics, 8, pp 206, August 2007. view
255. D. Wishart, S. Fortin, D. Woloschuk, W. Wong, T. Rosborough, G. Van Domselaar, J. Schaeffer, D. Szafron. "A Platform-Independent Graphical User Interface for SEQSEE and XALIGN". Computer Applications in the BioSciences, June 2007. view
256. A. Ihler, S. Kirshner, M. Ghil, A. Robertson, P. Smyth. "Graphical models for statistical inference and data assimilation". Physica D: Nonlinear Phenomena, June 2007. view
257. M. Ghavamzadeh, S. Mahadevan, R. Makar. "Hierarchical Multi Agent Reinforcement Learning". Journal of Autonomous Agents and Multi-Agent Systems, June 2007. PDFview
258. A. Antos, C. Szepesvari, R. Munos. "Learning near-optimal policies with Bellman-residual minimization based fitted policy iteration and a single sample path". Machine Learning Journal (MLJ), June 2007. PDFview
259. Y. Bjornsson, T. Marsland, J. Schaeffer, A. Junghanns. "Searching with Uncertainty Cut-Offs". Advances in Computer Chess, June 2007. view
260. M. Zinkevich, A. Greenwald, M. Littman. "A Hierarchy of Prescriptive Goals for Multiagent Learning". Artificial Intelligence (AIJ), 171, pp 440-447, May 2007. view
261. A. Felner, U. Zahavi, R. Holte, J. Schaeffer. "Duality in Search Spaces and the Dual Search Algorithm". Artificial Intelligence (AIJ), March 2007. view
262. R. Munos, C. Szepesvari. "Finite Time Bounds for Sampling Based Fitted Value Iteration". Journal of Machine Learning Research (JMLR), March 2007. PDFview
263. A. Botea, M. Mueller, J. Schaeffer. "Macro-Operators in AI Planning". Artificial Intelligence (AIJ), March 2007. view
264. S. Kauffman, R. Logan, R. Este, R. Goebel, D. Hobill, I. Shmulevich. "Propagating Organization: An Enquiry". Biology and Philosophy, (2), March 2007. view
265. M. Cutimisu, C. Onuczko, M. McNaughton, T. Roy, J. Schaeffer, A. Schumacher, J. Siegel, D. Szafron, K. Waugh, M. Carbonaro, H. Duff, S. Gillis, S. Honkanen. "ScriptEase: A Generative/Adaptive Programming Paradigm for Game Scripting". Science of Computer Programming, March 2007. view
266. A. Felner, R. Korf, R. Meshulam, R. Holte. "Compressed Pattern Databases". Journal of Artificial Intelligence Research, January 2007. view
267. D. Wishart, D. Tzur, C. Knox, R. Eisner, A. Guo, N. Young, D. Cheng, K. Jewell, D. Arndt, S. Sawhney, C. Fung, L. Nikolai, M. Lewis, M. Coutouly, I. Forsythe, P. Tang, S. Shrivastava, K. Jeroncic, P. Stothard, G. Amegbey, D. Block, D. Hau, J. Wagner, J. Miniaci, M. Clements, M. Gebremedhin, N. Guo, Y. Zhang, G. Duggan, G. MacInnis, A. Weljie, R. Dowlatabadi, F. Bamforth, D. Clive, R. Greiner, L. Li, T. Marrie, B. Sykes, H. Vogel, L. Querengesser. "HMDB: the Human Metabolome Database". Nucleic Acids Research (NAR), 35, pp D521 -- D526, January 2007. PDFview
268. M. Morris, R. Greiner, J. Sander, A. Murtha, M. Schmidt. "Learning a Classification-based Glioma Growth Model Using MRI Data". Journal of Computers (JCP), 1(7), pp 21-31, November 2006. PDFview
269. R. Holte, A. Felner, J. Newton, R. Meshulam, D. Furcy. "Maximizing over Multiple Pattern Databases speeds up Heuristic Search". Artificial Intelligence (AIJ), 170, pp 1123-1136, November 2006. PDFview
270. M. El-Hajj, O. Zaiane. " Parallel Bifold: Large-Scale Parallel Pattern Mining with Constraints". Distributed and Parallel Databases, An International Journal, 20(3), pp 225-243, October 2006. PDFview
271. C. Drummond, R. Holte. "Cost Curves: An Improved Method for Visualizing Classifier Performance". Machine Learning Journal (MLJ), 65(1), pp 95-130, October 2006. view
272. H. Fan, H. Kim, O. Zaiane. "Data Warehousing for Construction Equipment Management". 33, pp 1480-1489, October 2006. PDFview
273. A. Murtha, J. Sander, R. Greiner. "A Novel Approach to Constructing More "Intelligent" Planning Target Volumes for Glioma Patients". Radiotherapy and Oncology, 80(S1), pp S12 - S13, September 2006. view
274. L. Pireddu, D. Szafron, P. Lu, R. Greiner. "The Path-A metabolic pathway prediction web server". Nucleic Acids Research (NAR), 34((Web Server Issue)), pp W714 -- W719, July 2006. PDFview
275. G. Melli, O. Zaiane, B. Kitts. " Introduction to the Special Issue on Successful Real-World Data Mining Applications". 8(1), pp 1-2, June 2006. view
276. M. Ghavamzadeh, S. Mahadevan. "Hierarchical Average Reward Reinforcement Learning". Journal of Machine Learning Research (JMLR), 13(2), pp 197-229, June 2006. PDFview
277. S. Damaraju, D. Murray, J. Dufour, D. Carandang, R. Myrehaug, G. Fallone, C. Field, R. Greiner, J. Hanson, C. Cass, M. Parliament. "Association of DNA Repair and Steroid Metabolism Gene Polymorphisms with Clinical Late Toxicity in Patients Treated with Conformal Radiotherapy for Prostate Cancer". Clinical Cancer Research (CCR), 12(8), pp 2545-2554, April 2006. view
278. S. Oliveira, O. Zaiane. "A Unified Framework for Protecting Sensitive Association Rules in Business Collaboration". International Journal of Business Intelligence and Data Mining, 1(3), pp 247-287, March 2006. view
279. C. Boutilier, R. Patrascu, P. Poupart, D. Schuurmans. "Constraint-Based Optimization and Utility Elicitation Using the Minimax Decision Criterion". Artificial Intelligence (AIJ), 170(8-9), pp 686-713, January 2006. view
280. R. Holte. "Elaboration on Two Points Raised in "Classifier Technology and the Illusion of Progress"". Statistical Science, 21(1), pp 24-26, January 2006. PDFview
281. U. Basu, J. Francis, R. Whittal, J. Stephens, Y. Wang, O. Zaiane, R. Goebel, D. Muench, A. Good, G. Taylor. "Extracellular proteomes of Arabidopsis thaliana and Brassica napus roots: analysis and comparison by MudPIT and LC-MS/MS". Plant and Soil, 286(1-2), pp 357-376, January 2006. PDFview
282. R. Greiner, R. Hayward, M. Jankowska, M. Molloy. "Finding Optimal Satisficing Strategies for And-Or Trees". Artificial Intelligence (AIJ), 170, pp 19-58, January 2006. PDFview
283. M. Cutimisu, D. Szafron, J. Schaeffer, M. McNaughton, T. Roy, C. Onuczko, M. Carbonaro. "Generating Ambient Behaviors in Computer Role-Playing Games". IEEE, 21(5), pp 19-27, January 2006. PDFview
284. T. Caetano, T. Caelli, D. Schuurmans, D. Barone. "Graphical Models and Point Pattern Matching". IEEE Transactions on Pattern Analysis and Machine Intelligence, 28(10), January 2006. PDFview
285. P. Torma, C. Szepesvari. "Local Importance Sampling: A Novel Technique to Enhance Particle Filtering". Journal of Multimedia (JMM), 1, pp 32-43, January 2006. PDFview
286. L. Kocsis, C. Szepesvari. "Universal Parameter Optimisation in Games Based on SPSA". Machine Learning Journal (MLJ), 63, pp 249-286, January 2006. PDFview
287. M. El-Hajj, O. Zaiane. " YAFIMA: Yet Another Frequent Itemset Mining Algorithm". Journal of Digital Information Management, 3(4), pp 243-248, December 2005. PDFview
288. O. Nasraoui, O. Zaiane, M. Spiliopoulou, B. Mobasher, B. Masand, P. Yu. "WebKDD 2005. Web Mining and Web Usage Analysis Post-Workshop Report". 7(2), pp 139-142, December 2005. view
289. S. Wang, D. Schuurmans, F. Peng, Y. Zhao. "Combining Statistical Language Models Via the Latent Maximum Entropy Principle". Machine Learning Journal (MLJ), 60(1-3), pp 229-250, September 2005. view
290. G. Van Domselaar, P. Stothard, S. Shrivastava, J. Cruz, A. Guo, X. Dong, P. Lu, D. Szafron, R. Greiner, D. Wishart. "BASys: a web server for automated bacterial genome annotation". Nucleic Acids Research (NAR), 33((Web Server issue)), pp W455-W459, July 2005. PDFview
291. A. Botea, M. Enzenberger, M. Mueller, J. Schaeffer. "Macro-FF: Improving AI Planning with Automatically Learned Macro-Operators". Journal of Artificial Intelligence Research (JAIR), 24, pp 581-621, July 2005. PDFview
292. R. Greiner, X. Su, B. Shen, W. Zhou. "Structural Extension to Logistic Regression: Discriminative Parameter Learning of Belief Net Classifiers". Machine Learning Journal (MLJ), (ed: P. Larranaga, J.A. Lozano, J.M. Pena, I. Inza), 59(3), pp 297--322, June 2005. PDFview
293. D. Szafron, M. Carbonaro, M. Cutimisu, S. Gillis, M. McNaughton, C. Onuczko, T. Roy, J. Schaeffer. "Writing Interactive Stories in the Classroom". Interactive Multimedia Electronic Journal of Computer-Enhanced Learning(IMEJ), 7(1), June 2005. view
294. P. Stone, R. Sutton, G. Kuhlmann. "Reinforcement Learning for RoboCup-Soccer Keepaway". Adaptive Behavior, (13(3),), pp pp 165-188, March 2005. PDFview
295. C. Onuczko, M. Cutimisu, D. Szafron, J. Schaeffer, M. McNaughton, T. Roy, K. Waugh, M. Carbonaro, J. Siegel. "A Pattern Catalog For Computer Role Playing Games". GameOn North America, pp 33-38, January 2005. PDFview
296. J. Anvik, J. Schaeffer, D. Szafron, K. Tan. "Asserting the utility of CO2P3S using the Cowichan Problem Set". Journal of Parallel and Distributed Computing, 65, pp 1542-1557, January 2005. PDFview
297. A. Driga, P. Lu, J. Schaeffer, D. Szafron, K. Charter, I. Parsons. "FastLSA: A Fast, Linear-Space, Parallel and Sequential Algorithm". Algorithmica, 45(4), pp 337-375, January 2005. PDFview
298. S. Wang, D. Schuurmans, F. Peng, Y. Zhao. "Learning mixture models with the regularized maximum entropy principle". IEEE Transactions on Neural Networks, 15(4), pp 903-916, January 2005. PSview
299. P. Lu, D. Szafron, R. Greiner, D. Wishart, A. Fyshe, B. Pearcy, B. Poulin, R. Eisner, D. Ngo, N. Lamb. "PA-GOSUB: A searchable Database of Model Organism Protein Sequences With Their Predicted GO Molecular Function and Subcelluar Localization". Nucleic Acids Research (NAR), 33 (Database issue), pp D147--D153, January 2005. PDFview
300. M. Hlynka, J. Schaeffer. "Pre-Searching". Journal of the International Computer Games Association (ICGA), 27(4), pp 203-208, January 2005. PDFview
301. B. Browning, J. Bruce, M. Bowling, M. Veloso. "STP: Skills, tactics and plays for multi-robot control in adversarial environments". Journal of Systems and Control Engineering, 219(1), pp 33-52, January 2005. PDFview
302. X. Huang, F. Peng, A. An, D. Schuurmans. "Dynamic Web Log Session Identification With Statistical Language Models". Journal of the American Society for Information Science and Technology (JASTIS), 55(14), pp 1290-1303, December 2004. view
303. D. Szafron, P. Lu, R. Greiner, D. Wishart, B. Poulin, R. Eisner, Z. Lu, J. Anvik, D. Meeuwis, A. Fyshe, C. Macdonell. "Proteome Analyst: Custom Predictions with Explanations in a Web-based Tool for High-Throughput Proteome Annotations". Nucleic Acids Research (NAR), 32, pp W365-W371, July 2004. PDFview
304. J. Listgarten, S. Damaraju, B. Poulin, L. Cook, J. Dufour, A. Driga, J. Mackey, D. Wishart, R. Greiner, B. Zanke. "Predictive Models for Breast Cancer Susceptibility from Multiple Single Nucleotide Polymorphisms". Clinical Cancer Research (CCR), April 2004. PDFview
305. Z. Lu, D. Szafron, R. Greiner, P. Lu, D. Wishart, B. Poulin, J. Anvik, C. Macdonell, R. Eisner. "Predicting Subcellular Localization of Proteins using Machine-Learned Classifiers". Bioinformatics, 20(4), pp 547--556, March 2004. PDFview
306. R. Niewiadomski, J. Amaral. "A Performance Study of Data Layout Techniques for Improving Data Locality in Refinement-Based Pathfinding". Journal of Experimental Algorithms (JEA), 1.2(9), pp 1-28, January 2004. PDFview
307. M. Bowling, M. Veloso. "Existence of multiagent equilibria with limited agents". Journal of Artificial Intelligence Research, (22), pp 353-384, January 2004. PDFview
308. L. Nada, H. Motoda, T. Fawcett, R. Holte, P. Langley, P. Adriaans. "Introduction: Lessons Learned from Data Mining Applications and Collaborative Problem Solving". Machine Learning Journal (MLJ), pp 13-34, January 2004. PDFview
309. A. Ghose, P. Hadjinian, A. Sattar, J. You, R. Goebel. "Iterated belief change". Computational Intelligence, 20(1), pp 37-66, January 2004. PDFview
310. A. Botea, M. Mueller, J. Schaeffer. "Near Optimal Hierarchical Path-Finding". Journal of Game Development, 1(1), pp 1-22, January 2004. PDFview
311. T. Hauk, M. Buro, J. Schaeffer. "Rediscovering *-Minimax Search". International Conference on Computers and Games (CG), pp 35-50, January 2004. PDFview
312. X. Huang, F. Peng, D. Schuurmans, N. Cercone, S. Robertson. "Applying Machine Learning to Text Segmentation for Information Retrieval". Information Retrieval (IR), 6(3), pp 333-362, September 2003. view
313. F. Peng, D. Schuurmans, S. Wang. "Augmenting Naive Bayes Classifiers with Statistical Language Models". Information Retrieval (IR), September 2003. view
314. R. Niewiadomski, J. Amaral, R. Holte. "Abstraction and reformulation in artificial intelligence.". Philosophical Transactions of the Royal Society: Biological Sciences, 358(1435), pp 1197-1206, June 2003. PDFview
315. A. Ghodsi, D. Schuurmans. "Automatic basis selection techniques for RBF networks". Neural Networks, 16(5-6), pp 809-816, June 2003. view
316. M. Antonie, O. Zaiane, A. Coman. "Associative Classifiers for Medical Images". Lecture Notes in Artificial Intelligence, 2797, pp 68-83, January 2003. PDFview
317. L. Kozeratska, J. Forbes, R. Goebel, J. Kresta. "Perturbed cones for analysis of uncertain multi-criteria optimization problems". Linear Algebra and its Applications, 278, pp 203-229, January 2003. view
318. C. Pinchak, P. Lu, J. Schaeffer, M. Goldenberg. "The Canadian Internetworked Scientific Supercomputer". High Performance Computing Systems and Applications, (ed: D. Senechal), pp 193-199, January 2003. PDFview
319. S. Simoff, C. Djeraba, O. Zaiane. "MDM/KDD2002: Multimedia Data Mining between Promises and Problems". SIGKDD Explorations, 4(2), pp 118-121, December 2002. PDFview
320. B. Masand, M. Spiliopoulou, J. Srivastava, O. Zaiane. "WEBKDD 2002 - Web Mining for Usage Patterns & Profiles". SIGKDD Explorations, 4(2), pp 125-127, December 2002. PDFview
321. R. Greiner, A. Grove, D. Roth. "Learning Cost-Sensitive Active Classifiers". Artificial Intelligence (AIJ), 139(2), pp 137--174, September 2002. PDFview
322. J. Romein, H. Bal, J. Schaeffer, A. Plaat. "A Performance Analysis of Transposition-Table-Driven Work Scheduling in Distributed Search". IEEE, 13(5), pp 447-459, January 2002. PSview
323. S. MacDonald, J. Anvik, S. Bromling, J. Schaeffer, D. Szafron, K. Tan. "From Patterns to Frameworks to Parallel Programs". Parallel Computing, 28(12), pp 1663-1683, January 2002. PDFview
324. J. Cheng, R. Greiner, J. Kelly, D. Bell, W. Liu. "Learning Bayesian Networks from Data: An Information-Theory Based Approach". Artificial Intelligence (AIJ), 137(1-2), pp 43--90, January 2002. PSview
325. O. Zaiane, S. Simoff. "MDM/KDD: Multimedia Data Mining for the Second Time". SIGKDD Explorations, (ed: Usama Fayyad, Sunita Sarawagi, Paul Bradley, Mohammed Zaki), 3(2), pp 65-67, January 2002. PDFview
326. D. Schuurmans, F. Southey. "Metric-Based Methods for Adaptive Model Selection and Regularization". Machine Learning Journal (MLJ), 48(1-3), pp 51-84, January 2002. PDFview
327. M. Bowling, M. Veloso. "Multiagent learning using a variable learning rate". Artificial Intelligence (AIJ), 136, pp 215--250, January 2002. PDFview
328. D. Billings, A. Davidson, J. Schaeffer, D. Szafron. "The Challenge of Poker". Artificial Intelligence (AIJ), 134(1-2), pp 201-240, January 2002. PDFview
329. A. Grove, N. Littlestone, D. Schuurmans. "General Convergence Results for Linear Discriminant Updates". Machine Learning Journal (MLJ), 43(3), pp 179-210, December 2001. PDFview
330. O. Zaiane. "Building Virtual Web Views". Journal of Data and Knowledge Engineering, 39(2), pp 143-163, November 2001. PDFview
331. D. Wishart, L. Querengesser, B. Lefebvre, N. Epstein, R. Greiner, J. Newton. "Medical Resonance Diagnostics: A New Technology for High Throughput Clinical Diagnostics". Journal of Clinical Chemistry, October 2001. view
332. A. Eydgahi, M. Ghavamzadeh. "Complementary Root Locus Revisited". IEEE Transactions on Education, 44(2), pp 137-143, June 2001. PDFview
333. D. Schuurmans, F. Southey. "Local search characteristics of incomplete SAT procedures". Artificial Intelligence (AIJ), 132(2), pp 121--150, June 2001. PDFview
334. A. Junghanns, J. Schaeffer. "Sokoban: Enhancing Single-Agent Search Using Domain Knowledge". Artificial Intelligence (AIJ), 129(1-2), pp 219-251, June 2001. PSview
335. J. Schaeffer. "Technology Transfer from One High-Performance Search Engine to Another". Journal of the International Computer Games Association (ICGA), 24(3), pp 131-146, June 2001. view
336. J. Schaeffer, A. Plaat, A. Junghanns. "Unifying Single-Agent and Two-Player Search". Information Sciences, 135(3-4), pp 151-175, June 2001. PDFview
337. J. van-Rijswijck, J. Schaeffer, R. Greiner. "Always Shoot: Using FIFA in the Classroom". Electronics Arts Journal, 2(1), pp 31-38, March 2001. view
338. R. Greiner, C. Darken, N. Iwan Santoso. "Efficient Reasoning". Computing Surveys, 33(1), pp 1--30, March 2001. PSview
339. S. Simoff, O. Zaiane. "Report on MDM/KDD2000: The First International Workshop on Multimedia Data Mining". SIGKDD Explorations, 2(2), pp 103-105, December 2000. PDFview
340. M. Brockington, J. Schaeffer. "APHID: Asynchronous Parallel Game-Tree Search". Journal of Parallel and Distributed Computing, 60, pp 247-273, June 2000. PDFview
341. C. Drummond, D. Ionescu, R. Holte. "A Learning Agent That Assists the Browsing of Software Libraries". IEEE Transactions on Software Engineering, 26(12), pp 1179-1196, January 2000. PSview
342. Z. Li, O. Zaiane, Z. Tauber. " Illumination Invariance and Object Model in Content-Based Image and Video Retrieval". Journal of Visual Communication and Image Representation, 10(3), pp 219-244, October 1999. PDFview
343. M. Veloso, P. Stone, M. Bowling. "Anticipation as a Key for Collaboration in a Team of Agents: A Case Study in Robotic Soccer". SPIE Sensor Fusion and Decentralized Control in Robotic Systems, 3839, September 1999. PDFview
344. R. Greiner. "The Complexity of Revising Logic Programs". Journal of Logic Programming, 40(2--3), pp 273--298, August 1999. PDFview
345. A. Junghanns, J. Schaeffer. "Sokoban: Improving the Search with Relevance Cuts". Theoretical Computer Science, 252(1-2), pp 151-175, June 1999. PDFview
346. R. Greiner. "The Complexity of Theory Revision". Artificial Intelligence (AIJ), 107(2), pp 175--217, February 1999. PDFview
347. R. Sutton, D. Precup, S. Singh. "Between MDPs and Semi-MDPs: A Framework for Temporal Abstractions in Reinforcement Learning". Artificial Intelligence (AIJ), 112, pp 181-211, January 1999. PDFview
348. J. Santamaria, R. Sutton, A. Ram. "Experiments With Reinforcement Learning in Problems With Continuous State and Action Spaces". Adaptive Behavior, 2, pp 163-218, January 1998. PDFview
349. M. Kubat, R. Holte, S. Matwin. "Machine Learning for the Detection of Oil Spills in Satellite Radar Images". Machine Learning Journal (MLJ), 30(2-3), pp 195-216, January 1998. PDFview
350. A. Grove, R. Greiner, A. Kogan. "Knowing What doesn't Matter: Exploiting the Omission of Irrelevant Data". Artificial Intelligence (AIJ), 97(1-2), pp 345--380, December 1997. PSview
351. D. Subramanian, R. Greiner, J. Pearl. "The Relevance of Relevance". Artificial Intelligence (AIJ), 97(1--2), pp 1--8, December 1997. view
352. I. Parsons, R. Uruan, J. Schaeffer, D. Szafron. "PI/OT: Parallel I/O Templates". Parallel Computing, 13(5), pp 561-562, June 1997. view
353. D. Schuurmans. "Characterizing Rational Versus Exponential Learning Curves". Journal of Computer System Sciences, 55(1), pp 140-160, March 1997. view
354. R. Sutton. "On the Significance of Markov Decision Processes". Artificial Neural Networks - ICANN'97, (ed: W. Gerstner, A Germond, M. Hasler, J-D Nicoud), pp 273-282, January 1997. view
355. A. Eydgahi, M. Ghavamzadeh. "Properties of Branches Passing through Infinity in Root Locus Method". Journal of Faculty of Engineering University of Tehran, pp 1-10, December 1996. view
356. R. Greiner. "PALO: A Probabilistic Hill-Climbing Algorithm". Artificial Intelligence (AIJ), 84(1-2), pp 177--204, July 1996. PSview
357. R. Holte, T. Mkadmi, R. Zimmer, A. MacDonald. "Speeding Up Problem Solving by Abstraction: A Graph Oriented Approach". Artificial Intelligence (AIJ), 85, pp 321-361, July 1996. PDFview
358. R. Greiner, R. Isukapalli. "Learning to Select Useful Landmarks". IEEE Transactions on Systems, Man and Cybernetics, Part B, June 1996. PDFview
359. R. Holte, T. Mkadmi, R. Zimmer, A. MacDonald. " Speeding up problem solving by abstraction: a graph oriented approach". Artificial Intelligence (Magazine), 85, pp 321-361, June 1996. view
360. A. Plaat, J. Schaeffer. "Best-First Fixed-Depth Minimax Algorithms". Artificial Intelligence (AIJ), 87((1-2)), pp 255-293, June 1996. PDFview
361. A. Eydgahi, M. Ghavamzadeh. "Branches Passing through Infinity in Root Locus Method". Journal of Faculty of Engineering University of Tehran, pp 9-15, June 1996. view
362. R. Greiner, P. Orponen. "Probably Approximately Optimal Satisficing Strategies". Artificial Intelligence (AIJ), 82(1-2), pp 21-44, April 1996. PSview
363. S. Singh, R. Sutton. "Reinforcement Learning With Replacing Eligibility Traces". Machine Learning Journal (MLJ), (22), pp 123-158, January 1996. view
364. O. Zaiane. "La Carte à microprocesseur: Une clé sécuritaire". L'expertise Informatique, 1(2), January 1994. view
365. C. Elkan, R. Greiner. "Book Review: Building Large Knowledge-Based Systems: Representation and Inference in the CYC Project". Artificial Intelligence (AIJ), 61(1), pp 41--52, August 1993. PSview
366. R. Holte. "Very Simple Classification Rules Perform Well on Most Commonly Used Datasets". Machine Learning Journal (MLJ), 11, pp 63-91, January 1993. PSview
367. O. Zaiane, A. Gamache. "Constraints of the integration of smart cards in a distributed medical record system". 6eme Journees Internationales des Sciences Informatiques, June 1992. PDFview
368. R. Holte, L. Rosier, I. Tulchinsky. "Pinwheel Scheduling with Two Distinct Numbers". Theoretical Computer Science, Part A: 100(1), pp 106-135, June 1992. view
369. R. Sutton. "Introduction: The Challenge of Reinforcement Learning". Machine Learning Journal (MLJ), (ed: R.Sutton), 8(3-4), pp 225-227, January 1992. view
370. R. Sutton. "Machines That Learn and Mimic the Brain". ACCESS, GTE's Journal of Science and Technology, January 1992. view
371. R. Greiner. "Finding Optimal Derivation Strategies in Redundant Knowledge Bases". Artificial Intelligence (AIJ), 50(1), pp 95--115, August 1991. PSview
372. R. Zimmer, A. MacDonald, R. Holte. " CAD for Verified Hardware Design via Category Theory". Microprocessing and Microprogramming, 32, pp 691-698, June 1991. view
373. P. Caines, S. Wang, R. Greiner. "Classical and Logic-Based Dynamic Observers". IMA Journal of Mathematical Control and Information, 8, pp 45--80, June 1991. view
374. B. Porter, E. Bareiss, R. Holte. "Concept Learning and Heuristic Classification in Weak-Theory Domains". Artificial Intelligence (AIJ), 45(1), pp 229-263, June 1990. PDFview
375. R. Sutton. "First Results With Dyna: An Integrated Architecture for Learning, Planning, and Reacting". Neural Networks for Control, (ed: Miller T, Sutton R. S., Werbos P.), pp 179-189, January 1990. view
376. A. Barto, R. Sutton, C. Watkins. "Learning and Sequential Decision Making". Learning and Computational Neuroscience, (ed: M. Gabriel, J.W. Moore), pp 539-602, January 1990. view
377. R. Sutton, A. Barto. "Time-Derivative Models of Pavlovian Reinforcement". Learning and Computational Neuroscience, (ed: M. Gabriel, J.W. Moore), pp 497-537, January 1990. view
378. R. Lee, E. Milios, R. Greiner, J. Rossiter, A. Venetsanopoulos. "On the machine analysis of radar signals for ice profiling". Journal of Signal Processing, 18, pp 371--386, December 1989. view
379. R. Greiner, B. Smith, R. Wilkerson. "A Correction to the Algorithm in Reiter's Theory of Diagnosis". Artificial Intelligence (AIJ), 41(1), pp 79--88, November 1989. view
380. R. Greiner, B. Silver, S. Becker, M. Gruninger. "A Review of Machine Learning papers of AAAI-87". Machine Learning Journal (MLJ), 3(1), pp 79-92, August 1988. view
381. R. Greiner. "Learning by Understanding Analogies". Artificial Intelligence (AIJ), 35(1), pp 81--125, May 1988. view
382. R. Greiner. "Against the Unjustified Use of Probabilities: A Critique of Cheeseman's "An Inquiry into Computer Understanding"". Computational Intelligence, 4(2), pp 79--83, February 1988. view
383. R. Sutton. "Learning to Predict by the Methods of Temporal Differences". Machine Learning Journal (MLJ), 3(1), pp 9-44, January 1988. view
384. O. Selfridge, R. Sutton, C. Anderson. "Selected Bibliography on Connectionism". Evolution Learning and cognition, (ed: Y.C. Lee), pp 391-403, January 1988. view
385. J. Moore, J. Desmond, N. Berthier, D. Blazis, R. Sutton, A. Barto. "Simulation of the classically conditioned nictitating membrane response by a neuron-like adaptive element: Response topography, neuronal firing, and interstimulus intervals". Behavioural Brain Research, (21), pp 143-154, May 1986. view
386. A. Barto, R. Sutton. "Neural problem solving". Synaptic Modification, Neuron Selectivity, and Nervous System Organization, (ed: W.B. Levy, J.A. Anderson), pp 123-152, May 1985. view
387. A. Barto, R. Sutton, C. Anderson. "Neuron-like adaptive elements that can solvedifficult learning control problems". IEEE Transactions on Systems, Man, and Cybernetics, SMC-13(5), pp 834-846, January 1985. view
388. A. Barto, C. Anderson, R. Sutton. "Simulation of anticipatory responses in classical conditioning by a neuron-like adaptive element". Behavioural Brain Research, pp 221-235, January 1985. view
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