Publications with keyword "Regression"
| 1. | N. Hassanpour, R. Greiner. "Learning Disentangled Representations for CounterFactual Regression". NeurIPS Workshop on Causal ML, December 2019.   |
| 2. | P. Cao, S. Tang, M. Huang, J. Yang, D. Zhao, A. Trabelsi, O. Zaiane. "Feature-aware Multi-task feature learning for Predicting Cognitive Outcomes in Alzheimer’s disease". IEEE International Conference on Bioinformatics and Biomedicine , (ed: Illhoi Yoo, Jinbo Bi, Xiaohua Hu), pp n/a, November 2019. |
| 3. | 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. |
| 4. | P. Jin. "Using Survival Prediction Techniques to Learn Consumer-Specific Reservation Price Distributions". MSc Thesis, Dept of Computing Science, University of Alberta, January 2015. |
| 5. | C. Lee. "Modeling Spatial Correlations for Effective Discriminative Classifiers". PhD Thesis, January 2009. |
| 6. | C. Lee, R. Greiner, M. Schmidt. "Support Vector Random Fields for Spatial Classification". European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD), Porto, Portugal, pp 121-132, October 2005. |
| 7. | R. Sutton, C. Matheus. "Learning Polynomial Functions by Feature Construction". IWML, January 1991. |
