François Laviolette

122 papers A* 9A 11B 5Misc 2Journal 66Unranked 28

Year	Rank	Type	Title / Venue / Authors
2023	J	`jnl`	A cop-winning strategy on strongly cop-win graphs. Discret. Math. Josée Desharnais, François Laviolette, Héli Marcoux, Norbert Polat
2023	—	`conf`	MOT: A Multi-Omics Transformer for Multiclass Classification Tumour Types Predictions. BIOINFORMATICS Mazid Abiodoun Osseni, Prudencio Tossou, François Laviolette, Jacques Corbeil
2023	—	`conf`	PAC-Bayesian Learning of Aggregated Binary Activated Neural Networks with Probabilities over Representations. Canadian AI Louis Fortier-Dubois, Benjamin Leblanc, Gaël Letarte, François Laviolette, Pascal Germain
2022	J	`jnl`	How to certify machine learning based safety-critical systems? A systematic literature review. Autom. Softw. Eng. Florian Tambon, Gabriel Laberge, Le An, Amin Nikanjam, Paulina Stevia Nouwou Mindom, Yann Pequignot, Foutse Khomh, Giulio Antoniol, Ettore Merlo, François Laviolette
2022	J	`jnl`	Toolbox for Multimodal Learn (scikit-multimodallearn). J. Mach. Learn. Res. Dominique Benielli, Baptiste Bauvin, Sokol Koço, Riikka Huusari, Cécile Capponi, Hachem Kadri, François Laviolette
2021	—	`conf`	Applying PySCMGroup to Breast Cancer Biomarkers Discovery. BIOINFORMATICS Mazid Abiodoun Osseni, Prudencio Tossou, Jacques Corbeil, François Laviolette
2021	J	`jnl`	Exploring polypharmacy with artificial intelligence: data analysis protocol. BMC Medical Informatics Decis. Mak. Caroline Sirois, Richard Khoury, Audrey Durand, Pierre-Luc Déziel, Olga Bukhtiyarova, Yohann Chiu, Denis Talbot, Alexandre Bureau, Philippe Després, Christian Gagné, François Laviolette, Anne-Marie Savard, Jacques Corbeil, Thierry Badard, Sonia Jean, Marc Simard
2021	J	`jnl`	General Cops and Robbers games with randomness. Theor. Comput. Sci. Frédéric Simard, Josée Desharnais, François Laviolette
2021	J	`jnl`	How to Certify Machine Learning Based Safety-critical Systems? A Systematic Literature Review. CoRR Florian Tambon, Gabriel Laberge, Le An, Amin Nikanjam, Paulina Stevia Nouwou Mindom, Yann Pequignot, Foutse Khomh, Giulio Antoniol, Ettore Merlo, François Laviolette
2021	J	`jnl`	Learning Aggregations of Binary Activated Neural Networks with Probabilities over Representations. CoRR Louis Fortier-Dubois, Gaël Letarte, Benjamin Leblanc, François Laviolette, Pascal Germain
2021	—	`conf`	Leveraging Subword Embeddings for Multinational Address Parsing. CIST Marouane Yassine, David Beauchemin, François Laviolette, Luc Lamontagne
2021	J	`jnl`	Multinational Address Parsing: A Zero-Shot Evaluation. CoRR Marouane Yassine, David Beauchemin, François Laviolette, Luc Lamontagne
2021	J	`jnl`	On the robustness of generalization of drug-drug interaction models. BMC Bioinform. Rogia Kpanou, Mazid Abiodoun Osseni, Prudencio Tossou, François Laviolette, Jacques Corbeil
2020	J	`jnl`	Fast greedy Mach. Learn. Baptiste Bauvin, Cécile Capponi, Jean-Francis Roy, François Laviolette
2020	J	`jnl`	General Cops and Robbers Games with randomness. CoRR Frédéric Simard, Josée Desharnais, François Laviolette
2020	J	`jnl`	Implicit Variational Inference: the Parameter and the Predictor Space. CoRR Yann Pequignot, Mathieu Alain, Patrick Dallaire, Alireza Yeganehparast, Pascal Germain, Josée Desharnais, François Laviolette
2020	J	`jnl`	Leveraging Subword Embeddings for Multinational Address Parsing. CoRR Marouane Yassine, David Beauchemin, François Laviolette, Luc Lamontagne
2020	J	`jnl`	PAC-Bayes and domain adaptation. Neurocomputing Pascal Germain, Amaury Habrard, François Laviolette, Emilie Morvant
2020	—	`conf`	Phylogenetic Manifold Regularization: A semi-supervised approach to predict transcription factor binding sites. BIBM Faizy Ahsan, Alexandre Drouin, François Laviolette, Doina Precup, Mathieu Blanchette
2020	A	`conf`	The Indian Chefs Process. UAI Patrick Dallaire, Luca Ambrogioni, Ludovic Trottier, Umut Güçlü, Max Hinne, Philippe Giguère, Marcel van Gerven, François Laviolette
2020	J	`jnl`	The Indian Chefs Process. CoRR Patrick Dallaire, Luca Ambrogioni, Ludovic Trottier, Umut Güçlü, Max Hinne, Philippe Giguère, Brahim Chaib-draa, Marcel van Gerven, François Laviolette
2020	J	`jnl`	Unsupervised Domain Adversarial Self-Calibration for Electromyography-Based Gesture Recognition. IEEE Access Ulysse Côté Allard, Gabriel Gagnon-Turcotte, Angkoon Phinyomark, Kyrre Glette, Erik J. Scheme, François Laviolette, Benoit Gosselin
2019	J	`jnl`	A Low-Cost, Wireless, 3-D-Printed Custom Armband for sEMG Hand Gesture Recognition. Sensors Ulysse Côté Allard, Gabriel Gagnon-Turcotte, François Laviolette, Benoit Gosselin
2019	J	`jnl`	Adaptive Deep Kernel Learning. CoRR Prudencio Tossou, Basile Dura, François Laviolette, Mario Marchand, Alexandre Lacoste
2019	A*	`conf`	Dichotomize and Generalize: PAC-Bayesian Binary Activated Deep Neural Networks. NeurIPS Gaël Letarte, Pascal Germain, Benjamin Guedj, François Laviolette
2019	J	`jnl`	Dichotomize and Generalize: PAC-Bayesian Binary Activated Deep Neural Networks. CoRR Gaël Letarte, Pascal Germain, Benjamin Guedj, François Laviolette
2019	—	`conf`	Finite Approximation of LMPs for Exact Verification of Reachability Properties. QEST Gildas Kouko, Josée Desharnais, François Laviolette
2019	J	`jnl`	Interpreting Deep Learning Features for Myoelectric Control: A Comparison with Handcrafted Features. CoRR Ulysse Côté Allard, Evan Campbell, Angkoon Phinyomark, François Laviolette, Benoit Gosselin, Erik J. Scheme
2019	J	`jnl`	Unsupervised Domain Adversarial Self-Calibration for Electromyographic-based Gesture Recognition. CoRR Ulysse Côté Allard, Gabriel Gagnon-Turcotte, Angkoon Phinyomark, Kyrre Glette, Erik J. Scheme, François Laviolette, Benoit Gosselin
2019	J	`jnl`	Virtual Reality to Study the Gap Between Offline and Real-Time EMG-based Gesture Recognition. CoRR Ulysse Côté Allard, Gabriel Gagnon-Turcotte, Angkoon Phinyomark, Kyrre Glette, Erik J. Scheme, François Laviolette, Benoit Gosselin
2018	J	`jnl`	Deep Learning for Electromyographic Hand Gesture Signal Classification by Leveraging Transfer Learning. CoRR Ulysse Côté Allard, Cheikh Latyr Fall, Alexandre Drouin, Alexandre Campeau-Lecours, Clément Gosselin, Kyrre Glette, François Laviolette, Benoit Gosselin
2018	—	`conf`	Importance of Self-Attention for Sentiment Analysis. BlackboxNLP@EMNLP Gaël Letarte, Frédérik Paradis, Philippe Giguère, François Laviolette
2017	—	`ch.`	Domain-Adversarial Training of Neural Networks. Domain Adaptation in Computer Vision Applications Yaroslav Ganin, Evgeniya Ustinova, Hana Ajakan, Pascal Germain, Hugo Larochelle, François Laviolette, Mario Marchand, Victor S. Lempitsky
2017	—	`conf`	Maximum Margin Interval Trees. NIPS Alexandre Drouin, Toby Hocking, François Laviolette
2017	J	`jnl`	Maximum Margin Interval Trees. CoRR Alexandre Drouin, Toby Dylan Hocking, François Laviolette
2017	J	`jnl`	Risk upper bounds for general ensemble methods with an application to multiclass classification. Neurocomputing François Laviolette, Emilie Morvant, Liva Ralaivola, Jean-Francis Roy
2017	B	`conf`	Time Adaptive Dual Particle Swarm Optimization. CEC Ulysse Côté Allard, Gabriel Dubé, Richard Khoury, Luc Lamontagne, Benoit Gosselin, François Laviolette
2017	B	`conf`	Towards the use of consumer-grade electromyographic armbands for interactive, artistic robotics performances. RO-MAN Ulysse Côté Allard, David St-Onge, Philippe Giguère, François Laviolette, Benoit Gosselin
2017	B	`conf`	Transfer learning for sEMG hand gestures recognition using convolutional neural networks. SMC Ulysse Côté Allard, Cheikh Latyr Fall, Alexandre Campeau-Lecours, Clément Gosselin, François Laviolette, Benoit Gosselin
2016	A	`conf`	A Column Generation Bound Minimization Approach with PAC-Bayesian Generalization Guarantees. AISTATS Jean-Francis Roy, Mario Marchand, François Laviolette
2016	A*	`conf`	A New PAC-Bayesian Perspective on Domain Adaptation. ICML Pascal Germain, Amaury Habrard, François Laviolette, Emilie Morvant
2016	A	`conf`	A convolutional neural network for robotic arm guidance using sEMG based frequency-features. IROS Ulysse Côté Allard, François Nougarou, Cheikh Latyr Fall, Philippe Giguère, Clément Gosselin, François Laviolette, Benoit Gosselin
2016	J	`jnl`	Domain-Adversarial Training of Neural Networks. J. Mach. Learn. Res. Yaroslav Ganin, Evgeniya Ustinova, Hana Ajakan, Pascal Germain, Hugo Larochelle, François Laviolette, Mario Marchand, Victor S. Lempitsky
2016	J	`jnl`	Large scale modeling of antimicrobial resistance with interpretable classifiers. CoRR Alexandre Drouin, Frédéric Raymond, Gaël Letarte St-Pierre, Mario Marchand, Jacques Corbeil, François Laviolette
2016	A	`conf`	PAC-Bayesian Bounds based on the Rényi Divergence. AISTATS Luc Bégin, Pascal Germain, François Laviolette, Jean-Francis Roy
2015	J	`jnl`	A New PAC-Bayesian Perspective on Domain Adaptation. CoRR Pascal Germain, Amaury Habrard, François Laviolette, Emilie Morvant
2015	A*	`conf`	Algorithms for the Hard Pre-Image Problem of String Kernels and the General Problem of String Prediction. ICML Sébastien Giguère, Amélie Rolland, François Laviolette, Mario Marchand
2015	J	`jnl`	An Improvement to the Domain Adaptation Bound in a PAC-Bayesian context. CoRR Pascal Germain, Amaury Habrard, François Laviolette, Emilie Morvant
2015	A	`conf`	Bounding an Optimal Search Path with a Game of Cop and Robber on Graphs. CP Frédéric Simard, Michael Morin, Claude-Guy Quimper, François Laviolette, Josée Desharnais
2015	J	`jnl`	Domain-Adversarial Training of Neural Networks. CoRR Yaroslav Ganin, Evgeniya Ustinova, Hana Ajakan, Pascal Germain, Hugo Larochelle, François Laviolette, Mario Marchand, Victor S. Lempitsky
2015	J	`jnl`	Efficient Learning of Ensembles with QuadBoost. CoRR Louis Fortier-Dubois, François Laviolette, Mario Marchand, Louis-Émile Robitaille, Jean-Francis Roy
2015	J	`jnl`	Greedy Biomarker Discovery in the Genome with Applications to Antimicrobial Resistance. CoRR Alexandre Drouin, Sébastien Giguère, Maxime Déraspe, François Laviolette, Mario Marchand, Jacques Corbeil
2015	J	`jnl`	Machine Learning Assisted Design of Highly Active Peptides for Drug Discovery. PLoS Comput. Biol. Sébastien Giguère, François Laviolette, Mario Marchand, Denise M. Tremblay, Sylvain Moineau, Xinxia Liang, Éric Biron, Jacques Corbeil
2015	Misc	`conf`	Machine learning-based metamodels for sawing simulation. WSC Michael Morin, Frédérik Paradis, Amélie Rolland, Jean Wery, Jonathan Gaudreault, François Laviolette
2015	J	`jnl`	On Generalizing the C-Bound to the Multiclass and Multi-label Settings. CoRR François Laviolette, Emilie Morvant, Liva Ralaivola, Jean-Francis Roy
2015	Misc	`conf`	Optimizing Question-Answering Systems Using Genetic Algorithms. FLAIRS Ulysse Côté Allard, Richard Khoury, Luc Lamontagne, Jonathan Bergeron, François Laviolette, Alexandre Bergeron Guyard
2015	J	`jnl`	PAC-Bayesian Theorems for Domain Adaptation with Specialization to Linear Classifiers. CoRR Pascal Germain, Amaury Habrard, François Laviolette, Emilie Morvant
2015	J	`jnl`	Risk Bounds for the Majority Vote: From a PAC-Bayesian Analysis to a Learning Algorithm. CoRR Pascal Germain, Alexandre Lacasse, François Laviolette, Mario Marchand, Jean-Francis Roy
2015	J	`jnl`	Risk bounds for the majority vote: from a PAC-Bayesian analysis to a learning algorithm. J. Mach. Learn. Res. Pascal Germain, Alexandre Lacasse, François Laviolette, Mario Marchand, Jean-Francis Roy
2014	—	`conf`	A Topic Model Scoring Approach for Personalized QA Systems. TSD Hamidreza Chinaei, Luc Lamontagne, François Laviolette, Richard Khoury
2014	A*	`conf`	Agnostic Bayesian Learning of Ensembles. ICML Alexandre Lacoste, Mario Marchand, François Laviolette, Hugo Larochelle
2014	J	`jnl`	Domain-Adversarial Neural Networks. CoRR Hana Ajakan, Pascal Germain, Hugo Larochelle, François Laviolette, Mario Marchand
2014	J	`jnl`	Learning interpretable models of phenotypes from whole genome sequences with the Set Covering Machine. CoRR Alexandre Drouin, Sébastien Giguère, Vladana Sagatovich, Maxime Déraspe, François Laviolette, Mario Marchand, Jacques Corbeil
2014	J	`jnl`	On the String Kernel Pre-Image Problem with Applications in Drug Discovery. CoRR Sébastien Giguère, Amélie Rolland, François Laviolette, Mario Marchand
2014	A	`conf`	PAC-Bayesian Theory for Transductive Learning. AISTATS Luc Bégin, Pascal Germain, François Laviolette, Jean-Francis Roy
2014	A	`conf`	Sequential Model-Based Ensemble Optimization. UAI Alexandre Lacoste, Hugo Larochelle, Mario Marchand, François Laviolette
2014	J	`jnl`	Sequential Model-Based Ensemble Optimization. CoRR Alexandre Lacoste, Hugo Larochelle, François Laviolette, Mario Marchand
2013	—	`conf`	A PAC-Bayesian Approach for Domain Adaptation with Specialization to Linear Classifiers. ICML (3) Pascal Germain, Amaury Habrard, François Laviolette, Emilie Morvant
2013	A*	`conf`	Accelerated Robust Point Cloud Registration in Natural Environments through Positive and Unlabeled Learning. IJCAI Maxime Latulippe, Alexandre Drouin, Philippe Giguère, François Laviolette
2013	J	`jnl`	Human Analysts at Superhuman Scales: What Has Friendly Software To Do? Big Data Élénie Godzaridis, Sébastien Boisvert, Fangfang Xia, Mikhail Kandel, Steve Behling, Bill Long, Carlos P. Sosa, François Laviolette, Jacques Corbeil
2013	J	`jnl`	Learning a peptide-protein binding affinity predictor with kernel ridge regression. BMC Bioinform. Sébastien Giguère, Mario Marchand, François Laviolette, Alexandre Drouin, Jacques Corbeil
2013	—	`conf`	Risk Bounds and Learning Algorithms for the Regression Approach to Structured Output Prediction. ICML (1) Sébastien Giguère, François Laviolette, Mario Marchand, Khadidja Sylla
2013	J	`jnl`	Testing probabilistic equivalence through Reinforcement Learning. Inf. Comput. Josée Desharnais, François Laviolette, Sami Zhioua
2013	J	`jnl`	Tighter PAC-Bayes bounds through distribution-dependent priors. Theor. Comput. Sci. Guy Lever, François Laviolette, John Shawe-Taylor
2012	A	`conf`	A Pseudo-Boolean Set Covering Machine. CP Pascal Germain, Sébastien Giguère, Jean-Francis Roy, Brice Zirakiza, François Laviolette, Claude-Guy Quimper
2012	A	`conf`	Bayesian Comparison of Machine Learning Algorithms on Single and Multiple Datasets. AISTATS Alexandre Lacoste, François Laviolette, Mario Marchand
2012	A	`conf`	Constraint Programming for Path Planning with Uncertainty - Solving the Optimal Search Path Problem. CP Michael Morin, Anika-Pascale Papillon, Irène Abi-Zeid, François Laviolette, Claude-Guy Quimper
2012	J	`jnl`	Learning a peptide-protein binding affinity predictor with kernel ridge regression CoRR Sébastien Giguère, Mario Marchand, François Laviolette, Alexandre Drouin, Jacques Corbeil
2012	—	`conf`	PAC-Bayes-Bernstein Inequality for Martingales and its Application to Multiarmed Bandits. ICML On-line Trading of Exploration and Exploitation Yevgeny Seldin, Nicolò Cesa-Bianchi, Peter Auer, François Laviolette, John Shawe-Taylor
2012	A	`conf`	PAC-Bayesian Inequalities for Martingales. UAI Yevgeny Seldin, François Laviolette, Nicolò Cesa-Bianchi, John Shawe-Taylor, Peter Auer
2012	J	`jnl`	PAC-Bayesian Inequalities for Martingales. IEEE Trans. Inf. Theory Yevgeny Seldin, François Laviolette, Nicolò Cesa-Bianchi, John Shawe-Taylor, Peter Auer
2012	J	`jnl`	PAC-Bayesian Learning and Domain Adaptation CoRR Pascal Germain, Amaury Habrard, François Laviolette, Emilie Morvant
2011	A*	`conf`	A PAC-Bayes Sample-compression Approach to Kernel Methods. ICML Pascal Germain, Alexandre Lacoste, François Laviolette, Mario Marchand, Sara Shanian
2011	J	`jnl`	A logical duality for underspecified probabilistic systems. Inf. Comput. Josée Desharnais, François Laviolette, Amélie Turgeon
2011	A*	`conf`	From PAC-Bayes Bounds to Quadratic Programs for Majority Votes. ICML Jean-Francis Roy, François Laviolette, Mario Marchand
2011	J	`jnl`	PAC-Bayes-Bernstein Inequality for Martingales and its Application to Multiarmed Bandits CoRR Yevgeny Seldin, Nicolò Cesa-Bianchi, Peter Auer, François Laviolette, John Shawe-Taylor
2011	—	`conf`	PAC-Bayesian Analysis of Contextual Bandits. NIPS Yevgeny Seldin, Peter Auer, François Laviolette, John Shawe-Taylor, Ronald Ortner
2011	J	`jnl`	PAC-Bayesian Analysis of Martingales and Multiarmed Bandits CoRR Yevgeny Seldin, François Laviolette, John Shawe-Taylor, Jan Peters, Peter Auer
2011	J	`jnl`	PAC-Bayesian Analysis of the Exploration-Exploitation Trade-off CoRR Yevgeny Seldin, Nicolò Cesa-Bianchi, François Laviolette, Peter Auer, John Shawe-Taylor, Jan Peters
2011	J	`jnl`	PAC-Bayesian Inequalities for Martingales CoRR Yevgeny Seldin, François Laviolette, Nicolò Cesa-Bianchi, John Shawe-Taylor, Peter Auer
2010	B	`conf`	Distribution-Dependent PAC-Bayes Priors. ALT Guy Lever, François Laviolette, John Shawe-Taylor
2010	J	`jnl`	Learning the set covering machine by bound minimization and margin-sparsity trade-off. Mach. Learn. François Laviolette, Mario Marchand, Mohak Shah, Sara Shanian
2010	—	`conf`	Learning with Randomized Majority Votes. ECML/PKDD (2) Alexandre Lacasse, François Laviolette, Mario Marchand, Francis Turgeon-Boutin
2010	J	`jnl`	Ray: Simultaneous Assembly of Reads from a Mix of High-Throughput Sequencing Technologies. J. Comput. Biol. Sébastien Boisvert, François Laviolette, Jacques Corbeil
2009	B	`conf`	A Demonic Approach to Information in Probabilistic Systems. CONCUR Josée Desharnais, François Laviolette, Amélie Turgeon
2009	—	`conf`	From PAC-Bayes Bounds to KL Regularization. NIPS Pascal Germain, Alexandre Lacasse, François Laviolette, Mario Marchand, Sara Shanian
2009	—	`conf`	Learning the Difference between Partially Observable Dynamical Systems. ECML/PKDD (2) Sami Zhioua, Doina Precup, François Laviolette, Josée Desharnais
2009	A*	`conf`	PAC-Bayesian learning of linear classifiers. ICML Pascal Germain, Alexandre Lacasse, François Laviolette, Mario Marchand
2008	—	`conf`	A Stochastic Point-Based Algorithm for POMDPs. Canadian AI François Laviolette, Ludovic Tobin
2008	—	`conf`	A Transductive Bound for the Voted Classifier with an Application to Semi-supervised Learning. NIPS Massih-Reza Amini, François Laviolette, Nicolas Usunier
2008	—	`conf`	Approximate Analysis of Probabilistic Processes: Logic, Simulation and Games. QEST Josée Desharnais, François Laviolette, Mathieu Tracol
2008	—	`conf`	Selective Sampling for Classification. Canadian AI François Laviolette, Mario Marchand, Sara Shanian
2007	J	`jnl`	PAC-Bayes Risk Bounds for Stochastic Averages and Majority Votes of Sample-Compressed Classifiers. J. Mach. Learn. Res. François Laviolette, Mario Marchand
2007	J	`jnl`	Revised Loss Bounds for the Set Covering Machine and Sample-Compression Loss Bounds for Imbalanced Data. J. Mach. Learn. Res. Zakria Hussain, François Laviolette, Mario Marchand, John Shawe-Taylor, S. Charles Brubaker, Matthew D. Mullin
2006	—	`conf`	A PAC-Bayes Risk Bound for General Loss Functions. NIPS Pascal Germain, Alexandre Lacasse, François Laviolette, Mario Marchand
2006	—	`conf`	A Selective Sampling Strategy for Label Ranking. ECML Massih-Reza Amini, Nicolas Usunier, François Laviolette, Alexandre Lacasse, Patrick Gallinari
2006	J	`jnl`	Bisimulation and cocongruence for probabilistic systems. Inf. Comput. Vincent Danos, Josée Desharnais, François Laviolette, Prakash Panangaden
2006	—	`conf`	PAC-Bayes Bounds for the Risk of the Majority Vote and the Variance of the Gibbs Classifier. NIPS Alexandre Lacasse, François Laviolette, Mario Marchand, Pascal Germain, Nicolas Usunier
2006	—	`conf`	Testing Probabilistic Equivalence Through Reinforcement Learning. FSTTCS Josée Desharnais, François Laviolette, Sami Zhioua
2006	—	`conf`	Trace Equivalence Characterization Through Reinforcement Learning. Canadian AI Josée Desharnais, François Laviolette, Krishna Priya Darsini Moturu, Sami Zhioua
2005	—	`conf`	A PAC-Bayes approach to the Set Covering Machine. NIPS François Laviolette, Mario Marchand, Mohak Shah
2005	J	`jnl`	Decompositions of infinite graphs: I - bond-faithful decompositions. J. Comb. Theory B François Laviolette
2005	J	`jnl`	Decompositions of infinite graphs: Part II circuit decompositions. J. Comb. Theory B François Laviolette
2005	—	`conf`	Margin-Sparsity Trade-Off for the Set Covering Machine. ECML François Laviolette, Mario Marchand, Mohak Shah
2005	A*	`conf`	PAC-Bayes risk bounds for sample-compressed Gibbs classifiers. ICML François Laviolette, Mario Marchand
2003	—	`conf`	The Countable Character of Uncountable Graphs. DTMPP François Laviolette
2002	J	`jnl`	On cop-win graphs. Discret. Math. Gena Hahn, François Laviolette, Norbert Sauer, Robert E. Woodrow
2000	J	`jnl`	On constructible graphs, infinite bridged graphs and weakly cop-win graphs. Discret. Math. Marc Chastand, François Laviolette, Norbert Polat
1999	J	`jnl`	Spanning trees of countable graphs omitting sets of dominated ends. Discret. Math. François Laviolette, Norbert Polat
1998	J	`jnl`	On Normal Cayley Graphs and Hom-idempotent Graphs. Eur. J. Comb. Benoît Larose, François Laviolette, Claude Tardif
1997	J	`jnl`	Edge-Ends in Countable Graphs. J. Comb. Theory B Gena Hahn, François Laviolette, Jozef Sirán
1994	J	`jnl`	Decomposition of infinite eulerian graphs with a small number of vertices of infinite degree. Discret. Math. François Laviolette