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List of publications

Title  
 
[1] Mahdi Milani Fard, Yuri Grinberg, Amir-massoud Farahmand, Joelle Pineau and Doina Nitchi,
"Bellman Error Based Feature Generation using Random Projections on Sparse Spaces",
Computing Research Repository CoRR, pp. 5554, 05 2012.
[2] Jordan Frank, Shie Mannor, Joelle Pineau and Doina Nitchi,
"Time Series Analysis Using Geometric Template Matching",
IEEE Transactions on Pattern Analysis and Machine Intelligence, 05 2012.
[3] Keith Bush, Gabriella Panuccio, Massimo Avoli and Joelle Pineau,
"Evidence-based modeling of network discharge dynamics during periodic pacing to control epileptiform activity",
Journal of Neuroscience Methods, pp. 318-325, 04 2012.
[4] E. Tsang, Sylvie Ong and Joelle Pineau,
"Design and Evaluation of a Flexible Interface for Spatial Navigation",
in Canadian Conference on Computer and Robot Vision 2012, 05 2012.
[5] Mahdi Milani Fard, Yuri Grinberg, Joelle Pineau and Doina Nitchi,
"Compressed Least-Squares Regression on Sparse Spaces",
in Twenty-Sixth AAAI Conference on Artificial Intelligence, AAAI'12, 07 2012.
[6] Robert Vincent, Aaron Courville and Joelle Pineau,
"A bistable computational model of recurring epileptiform activity as observed in rodent slice preparation",
Neural Networks, pp. 526-537, 06 2011.
[7] Joelle Pineau, Robert West, Amin Atrash, Julien Villemure and François Routhier,
"On the Feasibility of Using a Standardized Test for Evaluating a Speech-Controlled Smart Wheelchair",
International Journal of Intelligent Control and Systems, pp. 121-128, 02 2011.
[8] Susan Shortreed, E. Laber, D.J. Lizotte, S. Stroup, Joelle Pineau and Susan Murphy,
"Informing sequential clinical decision-making through reinforcement learning: an empirical study",
Machine Learning, pp. 109-136, 01 2011.
[9] Mahdi Milani Fard and Joelle Pineau,
"Non-Deterministic Policies in Markovian Decision Processes",
Journal of Artificial Intelligence Research, pp. 1-24, 01 2011.
[10] Stephane Ross, Joelle Pineau, Brahim Chaib-draa and P. Kreitmann,
"A Bayesian Approach for Learning and Planning in Partially Observable Markov Decision Processes",
Journal of Machine Learning Research, pp. 1729-1770, 04 2011.
   
     
   
   

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