Publications in 2014
In Journal (refereed)
1. | 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. |
2. | 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. |
3. | L. Wehbe, B. Murphy, P. Talukdar, A. Fyshe, A. Ramdas, T. Mitchell. "Simultaneously Uncovering the Patterns of Brain Regions Involved in Dierent Story Reading Subprocesses". PLoS One, 9(11), pp e112575, November 2014. |
4. | W. Tong, R. Goebel, T. Liu, G. Lin. "Approximating the Maximum Multiple RNA Interaction Problem". Theoretical Computer Science, 556, pp 63-70, October 2014. |
5. | 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. |
6. | 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. |
7. | 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. |
8. | 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. |
9. | P. Pilarski. "Aligning homeostatic and heterostatic perspectives". Constructivist Foundations, 9(2), pp 213–215, July 2014. |
10. | 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. |
11. | J. Schaeffer, M. Müller, A. Kishimoto. "Go-bot, Go". IEEE Spectrum, 51(7), pp 48-53, July 2014. |
12. | 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. |
13. | 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. |
14. | J. Modayil, A. White, R. Sutton. "Multi-timescale Nexting in a Reinforcement Learning Robot". Adaptive Behavior, 22(2), pp 146-160, April 2014. |
15. | 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. |
16. | 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. |
17. | 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. |
18. | 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. |
19. | 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. |
20. | 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. |
21. | 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. |
22. | 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. |
In Conference (refereed)
23. | S. Ravanbakhsh, R. Rabbany, R. Greiner. "Augmentative Message Passing for Traveling Salesman Problem and Graph Partitioning". Neural Information Processing Systems (NIPS), (ed: Zoubin Ghahramani, Max Welling, Corinna Cortes, Neil D. Lawrence, Kilian Q. Weinberger), pp 289-297, December 2014. |
24. | K. Deng, R. Greiner, S. Murphy. "Budgeted Learning For Developing Personalized Treatment". International Conference on Machine Learning and Applications (ICMLA), pp 7-14, December 2014. |
25. | J. Fagnan, R. Rabbany, M. Takaffoli, E. Verbeek, O. Zaiane. "Community Dynamics: Event and Role Analysis in Social Network Analysis". International Conference on Advanced Data Mining and Applications, Guilin, China, pp 85-97, December 2014. |
26. | A. Trabelsi, O. Zaiane. "Mining Contentious Documents Using an Unsupervised Topic Model Based Approach". IEEE International Conference on Data Mining (ICDM), December 2014. |
27. | S. Khan, R. Greiner. "Budgeted Transcript Discovery: A Framework For Joint Exploration And Validation Studies". IEEE International Conference on Bioinformatics and Biomedicine , (ed: Huiru Jane Zheng, Werner Dubitzky, Xiaohua Hu, Jin-Kao Hao, Daniel P. Berrar, Kwang-Hyun Cho, Yadong Wang, David R. Gilbert), pp 188-191, November 2014. |
28. | B. Saha, A. Saini, N. Ray, R. Greiner, J. Hugh, M. Tambasco. "A Robust Convergence Index Filter for Breast Cancer Cell Segmentation". International Conference on Image Processing, pp 922-926, October 2014. |
29. | K. Golmohammadi, O. Zaiane, D. Diaz. "Detecting Stock Market Manipulation using Supervised Learning Algorithms ". International Conference on Data Science and Advanced Analytics, Shanghai, China, October 2014. |
30. | N. Sturtevant, J. Orkin, R. Zubek, M. Cook, S. Ware, C. Stith, R. Young, P. Wright, S. Eiserloh, A. Ramirez-Sanabria, V. Bulitko, K. Lord. "Playable Experiences at AIIDE 2014". Artificial Intelligence and Interactive Entertainment Conference (AIIDE), (ed: Ian Horswill, Arnav Jhala), pp 203-209, October 2014. |
31. | T. Davis, N. Burch, M. Bowling. "Using response functions to measure strategy strength". National Conference on Artificial Intelligence (AAAI), (ed: Carla E. Brodley, Peter Stone), pp 630-636, October 2014. |
32. | J. Li, O. Zaiane, A. Osornio-Vargas. "Discovering Statistical Significant Co-location Rules in Datasets with Extended Spatial Objects". International Conference on Big Data Analytics and Knowledge Discovery (DAWAK), Munich, Germany, September 2014. |
33. | C. Sherstan, P. Pilarski. "Multilayer General Value Functions for Robotic Prediction and Control". International Conference on Intelligent Robots and Systems, September 2014. |
34. | K. Chan, M. Dawson, A. Edwards, J. Hebert, R. Sutton, P. Pilarski. "Adaptive Switching in Practice: Improving Myoelectric Prosthesis Performance through Reinforcement Learning". Myoelectric Control Symposium, pp 66-70, August 2014. |
35. | M. Takaffoli, R. Rabbany, O. Zaiane. "Community Evolution Prediction in Dynamic Social Networks". IEEE/ACM International Conference on Social Networks Analysis and Mining (ASONAM), Beijing, China, August 2014. |
36. | A. Koop, A. Kearney, M. Bowling, P. Pilarski. "Dealing with Changing Contexts in Myoelectric Control". Myoelectric Control Symposium, pp 113-116, August 2014. |
37. | M. Dawson, C. Sherstan, J. Carey, J. Hebert, P. Pilarski. "Development of the Bento Arm: An Improved Robotic Arm for Myoelectric Training and Research". Myoelectric Control Symposium, pp 57-61, August 2014. |
38. | L. Lelis, R. Stern, N. Sturtevant. "Estimating Search Tree Size with Duplicate Detection". Symposium on Combinatorial Search, (ed: Stefan Edelkamp, Roman Barták), pp 114-122, August 2014. |
39. | N. Sturtevant, A. Felner, M. Helmert. "Exploiting the Rubik's Cube 12-Edge PDB by Combining Partial Pattern Databases and Bloom Filters". Symposium on Combinatorial Search, (ed: Stefan Edelkamp, Roman Barták), pp 175-183, August 2014. |
40. | K. Quinn, O. Zaiane. "Identifying Questions & Requests in Conversation". International C* Conference on Computer Science , Montreal, Canada, August 2014. |
41. | M. Lanctot, M. Winands, T. Pepels, N. Sturtevant. "Monte Carlo Tree Search with heuristic evaluations using implicit minimax backups". Computational Intelligence in Games, August 2014. |
42. | G. Fan, M. Müller, R. Holte. "Non-Linear Merging Strategies for Merge-and-Shrink Based on Variable Interactions". Symposium on Combinatorial Search, (ed: Stefan Edelkamp, Roman Barták:), pp 53-61, August 2014. |
43. | W. Tong, R. Goebel, G. Lin. "On the smoothed heights of Trie and Patricia index trees". International Computing and Combinatorics Conference (COCOON), pp 94-103, August 2014. |
44. | N. Sturtevant, V. Bulitko. "Reaching the Goal in Real-Time Heuristic Search: Scrubbing Behavior is Unavoidable". Symposium on Combinatorial Search, (ed: Stefan Edelkamp, Roman Barták), pp 166-174, August 2014. |
45. | A. Abnar, M. Takaffoli, R. Rabbany, O. Zaiane. "SSRM: Structural Social Role Mining for Dynamic Social Networks". IEEE/ACM International Conference on Social Networks Analysis and Mining (ASONAM), Beijing, China, August 2014. |
46. | J. Fagnan, O. Zaiane, D. Barbosa. "Using Triads to Identify Local Community Structure in Social Networks". IEEE/ACM International Conference on Social Networks Analysis and Mining (ASONAM), Beijing, China, August 2014. |
47. | F. Xie, M. Müller, R. Holte. "Adding local exploration to greedy best-first search for satisficing planning". National Conference on Artificial Intelligence (AAAI), (ed: Carla E. Brodley, Peter Stone), pp 2388-2394, July 2014. |
48. | F. Mirzazadeh, Y. Guo, D. Schuurmans. "Convex co-embedding". National Conference on Artificial Intelligence (AAAI), pp 1989-1996, July 2014. |
49. | G. Sharon, A. Felner, N. Sturtevant. "Exponential Deepening A* for Real-Time Agent-Centered Search". National Conference on Artificial Intelligence (AAAI), (ed: Carla E. Brodley, Peter Stone), pp 871-877, July 2014. |
50. | N. Burch, M. Johanson, M. Bowling. "Solving imperfect information games using decomposition". National Conference on Artificial Intelligence (AAAI), (ed: Carla E. Brodley, Peter Stone), pp 602-608, July 2014. |
51. | R. Goebel, W. Shi, Y. Tanaka. "The challenge of semantic symmetry in visualization". Information Visualization, pp 27-33, July 2014. |
52. | X. Li, J. Sjobergh, R. Goebel. "Towards the identification of consumer trajectories in geo-located search data". Information Visualization, pp 202-210, July 2014. |
53. | R. Valenzano, N. Sturtevant, J. Schaeffer. "Worst-Case Solution Quality Analysis When Not Re-Expanding Nodes in Best-First Search". National Conference on Artificial Intelligence (AAAI), (ed: Carla E. Brodley, Peter Stone), pp 885-892, July 2014. |
54. | R. Valenzano, N. Sturtevant, J. Schaeffer, F. Xie. "A Comparison of Knowledge-Based GBFS Enhancements and Knowledge-Free Exploration". ICAPS, (ed: Steve A. Chien, Minh Binh Do, Alan Fern, Wheeler Ruml), pp 375-379, June 2014. |
55. | A. Trabelsi, O. Zaiane. "A Joint Topic Viewpoint Model for Contention Analysis". International Conference on Application of Natural Language to Information Systems, Montpellier, France, pp 114-125, June 2014. |
56. | J. Neufeld, A. Gyorgy, C. Szepesvari, D. Schuurmans. "Adaptive Monte Carlo via bandit allocation". International Conference on Machine Learning (ICML), (ed: Eric P. Xing, Tony Jebara), pp 1944-1952, June 2014. |
57. | E. Papalexakis, A. Fyshe, N. Sidiropoulos, P. Talukdar, T. Mitchell, C. Faloutsos. "Good-Enough Brain Model: Challenges, Algorithms and Discoveries in Multi-Subject Experiments". ACM Special Interest Group on Knowledge Discovery and Data Mining (SIGKDD), June 2014. |
58. | A. Fyshe, P. Talukdar, B. Murphy, T. Mitchell. "Interpretable Semantic Vectors from a Joint Model of Brain- and Text- Based Meaning". Annual Meeting of the Association for Computational Linguistics (ACL), Baltimore, USA, pp 489–499, June 2014. |
59. | J. Wright, K. Leyton-Brown. "Level-0 Meta-Models for Predicting Human Behavior in Games". ACM Conference on Economics and Computation, Palo Alto, USA, (ed: Moshe Babaioff, Vincent Conitzer, David A. Easley), pp 857-873, June 2014. |
60. | S. Ravanbakhsh, R. Greiner, B. Frey, C. Srinivasa. "Min-Max Problems on Factor-Graphs". International Conference on Machine Learning (ICML), pp 1035-1043, June 2014. |
61. | J. Wen, C. Yu, R. Greiner. "Robust Learning Under Uncertain Test Distributions: Relating Covariate Shift to Model Misspecification". International Conference on Machine Learning (ICML), pp 631-639, June 2014. |
62. | F. Xie, M. Müller, R. Holte, T. Imai. "Type-based exploration for satisficing planning with multiple search queues". National Conference on Artificial Intelligence (AAAI), (ed: Carla E. Brodley, Peter Stone), pp 2395-2402, June 2014. |
63. | N. Bard, M. Johanson, M. Bowling. "Asymmetric abstractions for adversarial settings". Joint Conference on Autonomous Agents and Multi-Agent Systems (AAMAS), (ed: Ana L. C. Bazzan, Michael N. Huhns, Alessio Lomuscio, Paul Scerri), pp 501-508, May 2014. |
64. | M. Pourrajabi, D. Moulavi, R. Campello, A. Zimek, J. Sander, R. Goebel. "Model Selection for Semi-Supervised Clustering". International Conference on Extending Database Technology (EBDT), Athens, Greece, pp 331-342, March 2014. |
65. | G. Nicolai, M. Islam, R. Greiner. "Native Language Identification Using Probabilistic Graphical Models". International Conference on Electrical Information and Communication Technology , pp n/a, February 2014. |
66. | R. Goebel. "A sketch of a theory of visualization". International Conference on Visualization Theory and Applications, pp 218-221, January 2014. |
In Conference (unrefereed)
67. | F. Allen, A. Pon, M. Wilson, R. Greiner, D. Wishart. "CFM-ID: A Web Server for Annotation, Spectrum Prediction and Metabolite Identification from MS/MS". MetaboMeeting, London, England, September 2014. |
In Workshop
68. | P. Jin, R. Greiner, M. Wei, G. Haeubl. "Using Survival Prediction Techniques to Learn Consumer-Specific Reservation Price Distributions". NIPS Workshop on Transactional Machine Learning and E-Commerce, pp n/a, December 2014. |
69. | R. Rabbany, O. Zaiane, S. ElAtia. "Mining Large Scale Data from National Educational Achievement Test". KDD Workshop on Data Mining for Educational Assessment and Feedback, August 2014. |
70. | S. Khan, R. Greiner. "The Budgeted Biomarker Discovery Problem: A Variant of Association Studies". AAAI Workshop on Modern Artificial Intelligence for Health Analytics (MAIHA), AAAI, (ed: Finale Doshi-Velez, David C. Kale, Byron C. Wallace, Jenna Wiens), WS-14-08, pp n/a, June 2014. |
71. | A. Trabelsi, O. Zaiane. "Finding Arguing Expressions of Divergent Viewpoints in Online Debates". Language Analysis for Social Media , pp 35-43, April 2014. |
Other Categories
72. | P. Cao, O. Zaiane, D. Zhao. " A Measure optimized cost-sensitive learning framework for imbalanced data classification". Biologically-Inspired Techniques for Knowledge Discovery and Data Mining, Advances in Data Mining an, Biologically-Inspired Techniques for Knowledge Discovery and Data Mining, Advances in Data Mining and Database Management Book Series, IGI Global, (ed: Shafiq Alam, Yun Sing Koh, and Gillian Dobbie), pp 1-24, October 2014. |
73. | R. Rabbany, S. ElAtia, M. Takaffoli, O. Zaiane. "Collaborative Learning of Students in Online Discussion Forums: A Social Network Analysis Perspective". Series: Studies in Computational Intelligence, Educational Data Mining: Applications and Trends, Springer, (ed: Alejandro Peña-Ayala), 524, pp 1-25, October 2014. |
74. | L. Antonie, J. Li, O. Zaiane. "Negative Association Rules". Frequent Pattern Mining, Frequent Pattern Mining, Springer, (ed: Charu Aggarwal, and Jiawei Han), October 2014. |
75. | R. Rabbany, M. Takaffoli, J. Fagnan, O. Zaiane, R. Campello. "Relative Validity Criteria for Community Mining Algorithms". Encyclopedia of Social Network Analysis and Mining, Encyclopedia of Social Network Analysis and Mining, Springer, (ed: Reda Alhajj and Jon Rokne), pp 1-18, October 2014. |
76. | N. Sturtevant. "The Grid-Based Path-Planning Competition". In Magazine, Artificial Intelligence (Magazine), 35(3), September 2014. |
77. | S. Ghiassian. "Using Functional or Structural Magnetic Resonance Images and Personal Characteristic Data to Diagnose ADHD and Autism". MSc Thesis, Computing Science, MSc Thesis, August 2014. |
78. | R. Valenzano, H. Nakhost, M. Mueller, J. Schaeffer. "ArvandHerd 2014". The Eighth International Planning Competition, pp 1-5, June 2014. |
79. | F. Xie, M. Müller, R. Holte. "Jasper: the art of exploration in greedy best first search". The Eighth International Planning Competition, (ed: M. Vallati, L. Chrpa, and T. McCluskey), pp 39-42, June 2014. |
80. | M. Hajiloo. "Assessing the Feasibility of Learning Biomedical Phenotype Patterns Using High-Throughput Omics Profiles". PhD Thesis, January 2014. |
81. | S. Vaisipour. "Detecting, correcting, and preventing the batch effects in multi-site data, with a focus on gene expression Microarrays". PhD Thesis, January 2014. |