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Luc Lamontagne, Eng., Ph.D. Department of Computer Science and Software Engineering Pavillon Adrien-Pouliot, local 3990 Université Laval Québec (Québec), Canada, G1K 7P4  Phone: (418) 656-2131, # 8105 Fax: (418) 656-2324 Email: luc.lamontagne@ift.ulaval.ca Version française

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I am a professor in the Department of Computer Science and Software Engineering at Laval University. My current research interests include:

· The extensions of Case-Based Reasoning (CBR) techniques and their application to the construction of recommender and decision aid systems.

· The application of Natural Language Processing techniques and Machine Learning to accomplish interesting tasks (e.g. virtual assistants, question answering)

· Classification and prediction based on traces and sequential data (applications to MMOG games, geopolitical conflicts, analysis of event sequences).

I am also a researcher at GRAAL laboratory and a member of the new research center on Big data at Laval University (CRDM).

Academic

· IFT-7022 Techniques & Applications of Natural Language Processing (NLP)

· GLO-4003 Software Architecture

· IFT-4102 Agent-oriented approach in Artificial Intelligence

· GLO-3002 Capstone project in Software Engineering

· GLO-3013 Design III - Multidisciplinary project in Software Engineering

· GIF-1002 Design I – Design Methodology

Current projects

· Extraction and reuse of information from soil decontamination case studies (WikiNet)

· Interactive rerieval of product information (CRIQ, in collaboration with R. Khoury)

· Personalized and contextual recommendation system (Cossette)

· A Virtual Assistant Famework based on Machine Learning and Questions Answering (RDDC Valcartier, NSERC, Fujitsu Canada)

· Suggestions in Contextual and Dynamic environment (in collaboration with R. Khoury)

Conferences, workshops et activities

· Luc Lamontagne & Enric Plaza (2014), Case-Based Reasoning Research and Development, LNCS 8765, Springer.

· Lamontagne, L., Recio Gracia, J. A. (2012) Workshop proceedings of ICCBR-12, Lyon, France, September 2012.

· Lamontagne, L.; Marchand, M.; (Eds.) (2006) Advances in Artificial Intelligence : Proceedings of 19th Conference of the Canadian Society for Computational Studies of Intelligence, LNAI 4013, Springer-Verlag, 564 pages.

Recent publications

· Zarka, R., Cordier, A., Egyed-Zsigmond, E., Lamontagne, L., Mille, A. (2016) Trace-based contextual recommendations, Expert Systems with Applications, Elsevier, vo. 64, no. 1, December 2016, pp. 194-207. pdf

· Touré, F., Badri, M., Lamontagne, L. (2015) Predicting different levels of the unit testing effort of classes using source code metrics: A multiple case study on open source software, submitted for publication.

· Bergeron, J., Khoury, R., Lamontagne, L. (2016) Building User Interest Profiles Using DBpedia In A Question Answering System, Proceedings of FLAIRS-29, pp. 14-19. pdf

· Jahjah, V., Khoury, R., Lamontagne, L. (2016) Word normalization Using Phonetic Signatures, accepted at Canadian AI Conference. pdf

· Badri, M., Touré, F., Lamontagne, L. (2015) Predicting Unit Testing Effort Levels of Classes: An Exploratory Study based on Multinomial Logistic Regression Modeling, Proceedings of the 2015 International Conference on Soft Computering and Software Engineering (SCSE’15), Volume 62, pp. 529-538. pdf

· Derek Bridge, Luc Lamontagne, Enric Plaza (2015)
Report on the Twenty-Second International Conference on Case-Based Reasoning. AI Magazine 36(2): 88-89. pdf

· Mo, J., Lamontagne, L., Khoury, R., (2015) Laval University and Lakehead University Experiments at TREC 2015 Contextual Suggestion Track, Proceedings of TREC 2015. pdf

· Joganah, R., Lamontagne, L., Khoury, R. (2015) Combination of Techniques for subtopics coverage, Proceedings of TREC 2015. pdf

· Ulysse Côté Allard, Richard Khoury, Luc Lamontagne, Jonathan Bergeron, François Laviolette, Alexandre Bergeron-Guyard (2015), Optimizing Question_answering Systems Using Genetic Algorithms, Proceedings of the 28^th International FLAIRS Conference, 18-20 May 2015, pp. 32-37. pdf

· Fadel Toure, Mourad Badri, Luc Lamontagne (2014) A metrics suite for JUnit test code : a multiple case study on open source software, Journal of Software Engineering Research and development, 2 :14. pdf

· Alexandre Bergeron Guyard and Luc Lamontagne (2014), SIIP: A Situation Analysis Prototype using Case-based Reasoning and Learning, Proceedings of AIA 2014 Conférence. pdf

· Luc Lamontagne, François Laviolette, Richard Khoury, Alexandre Bergeron-Guyard (2014), A Framework for Building Adaptive Intelligent Virtual Assistants, AIA 2014. pdf

· Fadel Toure, Mourad Badri, Luc Lamontagne, Towards a Unified Metrics Suite for JUnit Test Cases. (2014) International Conference on Software Engineering & Knowledge Engineering. pdf

· Hamidreza Chinaei, Luc Lamontagne, François Laviolette, Richard Khoury (2014)
 A Topic Model Scoring Approach for Personalized QA Systems. Conférence on Text, Speech and Dialogue (TSD 2104), Lecture Notes in Artificial Intelligence. Vol. 8655, Springer, pp. 84-92. pdf

· Luc Lamontagne, Alexandre Bergeron Guyard (2014)
 Learning Case Feature Weights from Relevance and Ranking Feedback. Proceedings of FLAIRS Conference, p. 301-306. pdf

· Raafat Zarka, Amélie Cordier, Elöd Egyed-Zsigmond, Luc Lamontagne, Alain Mille (2013) Similarity Measures to Compare Episodes in Modeled Traces. ICCBR 2013, pp. 358-372. pdf

· Lamontagne, L., Rugamba, F., Mineau, G. (2012) Acquisition of cases in sequential games using condtional entropy, Workshop proceedings of ICCBR-12, pp 203-212. pdf

· Besse, C., Bakhtiari, A.; Lamontagne, L. (2012) Forceasting Conflicts using N-gram Models, Proceedings of FLAIRS-25, Marco Island, USA, AAAI Publications, pp. 124-127. pdf

· Hamid R. Chinaei, Brahim Chaib-draa, Luc Lamontagne (2012) Learning Observation Models for Dialogue POMDPs, Proceedings of 25th Canadian Conference on Artificial Intelligence (AI'2012) Toronto, Ontario, Canada, 2012. pdf

Publication list

Team Members

· Gabriel Massicotte: Injection of relation paraphrases in question answering

· Jian Mo: Contextual suggestion, learning to rank answers

· Robin Joganah: Recommendations for dynamic domains, question classification

· Robin Drolet: Implementation of a chat system on a forward chaining rule-based system

· Nicolas Garneau: sequence classification, near-duplicate detection, Apache Spark programming

· Jonathan Bergeron: hybrid algorithms for TV programs recommendation, user modeling

Alumni

· Fadel Touré: Orientation of JUnit test coverage using a suite of software metrics. pdf

· Mona Torabian: Sentiment analysis using CBR, lexicons and negation detection. pdf

· Asra Roshani: Unsupervised Hierarcical Probabilistic Segmentation of sequences. pdf

· Mathieu Dumoulin: Personalized Large Scale Classification of Public Tenders on Hadoop. pdf

· Xu Zhang: Reuse of test software code using CBR. pdf

· Francis Rugamba: A CBR approach to the reuse of games traces. pdf

· Hamid Chinaei: Learning of POMDP models for dialogue systems. pdf

· Michael Morin : Visibility-based path planning using search theory. pdf

· Felix-Antoine Bourbonnais-Bigras: Mock framework for testing aspect-oriented code. pdf

· Mohamed Mouine: Robust analysis of multicriteria decision making algorithms. pdf

· Houcine Romdhane : CBR & Reinforcement learning for games. pdf

· Miloud Betayeb : Probabilistic HMM for user modeling in games. pdf

· Marouene Ben Jabeur: Resource allocation of SAR multiple units using genetic algorithms & CSP. pdf

· Ghina Besbes : Probabilistic HMM for user modeling in conversation systems. pdf

· Erwan Miry : Statistical cooccurrence for textual similarity. html

· Laurent Danet : Information extraction of named entities in textual cases. html

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Last update: 20 October 2016