François Laviolette
Affiliations:- Université Laval
According to our database1,
François Laviolette
authored at least 109 papers
between 1994 and 2023.
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Bibliography
2023
MOT: A Multi-Omics Transformer for Multiclass Classification Tumour Types Predictions.
Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies, 2023
PAC-Bayesian Learning of Aggregated Binary Activated Neural Networks with Probabilities over Representations.
Proceedings of the 36th Canadian Conference on Artificial Intelligence, 2023
2022
How to certify machine learning based safety-critical systems? A systematic literature review.
Autom. Softw. Eng., 2022
2021
BMC Medical Informatics Decis. Mak., 2021
Learning Aggregations of Binary Activated Neural Networks with Probabilities over Representations.
CoRR, 2021
BMC Bioinform., 2021
Proceedings of the 6th IEEE Congress on Information Science and Technology, 2021
Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies, 2021
2020
Unsupervised Domain Adversarial Self-Calibration for Electromyography-Based Gesture Recognition.
IEEE Access, 2020
Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020
Phylogenetic Manifold Regularization: A semi-supervised approach to predict transcription factor binding sites.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020
2019
Sensors, 2019
Unsupervised Domain Adversarial Self-Calibration for Electromyographic-based Gesture Recognition.
CoRR, 2019
Virtual Reality to Study the Gap Between Offline and Real-Time EMG-based Gesture Recognition.
CoRR, 2019
Interpreting Deep Learning Features for Myoelectric Control: A Comparison with Handcrafted Features.
CoRR, 2019
Proceedings of the Quantitative Evaluation of Systems, 16th International Conference, 2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
2018
Deep Learning for Electromyographic Hand Gesture Signal Classification by Leveraging Transfer Learning.
CoRR, 2018
Proceedings of the Workshop: Analyzing and Interpreting Neural Networks for NLP, 2018
2017
Proceedings of the Domain Adaptation in Computer Vision Applications., 2017
Risk upper bounds for general ensemble methods with an application to multiclass classification.
Neurocomputing, 2017
Transfer learning for sEMG hand gestures recognition using convolutional neural networks.
Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017
Towards the use of consumer-grade electromyographic armbands for interactive, artistic robotics performances.
Proceedings of the 26th IEEE International Symposium on Robot and Human Interactive Communication, 2017
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017
2016
CoRR, 2016
A convolutional neural network for robotic arm guidance using sEMG based frequency-features.
Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016
Proceedings of the 33nd International Conference on Machine Learning, 2016
A Column Generation Bound Minimization Approach with PAC-Bayesian Generalization Guarantees.
Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016
Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016
2015
PLoS Comput. Biol., 2015
Risk bounds for the majority vote: from a PAC-Bayesian analysis to a learning algorithm.
J. Mach. Learn. Res., 2015
PAC-Bayesian Theorems for Domain Adaptation with Specialization to Linear Classifiers.
CoRR, 2015
Greedy Biomarker Discovery in the Genome with Applications to Antimicrobial Resistance.
CoRR, 2015
Proceedings of the 2015 Winter Simulation Conference, 2015
Algorithms for the Hard Pre-Image Problem of String Kernels and the General Problem of String Prediction.
Proceedings of the 32nd International Conference on Machine Learning, 2015
Proceedings of the Twenty-Eighth International Florida Artificial Intelligence Research Society Conference, 2015
Proceedings of the Principles and Practice of Constraint Programming, 2015
2014
CoRR, 2014
Learning interpretable models of phenotypes from whole genome sequences with the Set Covering Machine.
CoRR, 2014
Proceedings of the Thirtieth Conference on Uncertainty in Artificial Intelligence, 2014
Proceedings of the Text, Speech and Dialogue - 17th International Conference, 2014
Proceedings of the 31th International Conference on Machine Learning, 2014
Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014
2013
Theor. Comput. Sci., 2013
BMC Bioinform., 2013
Big Data, 2013
Accelerated Robust Point Cloud Registration in Natural Environments through Positive and Unlabeled Learning.
Proceedings of the IJCAI 2013, 2013
Risk Bounds and Learning Algorithms for the Regression Approach to Structured Output Prediction.
Proceedings of the 30th International Conference on Machine Learning, 2013
A PAC-Bayesian Approach for Domain Adaptation with Specialization to Linear Classifiers.
Proceedings of the 30th International Conference on Machine Learning, 2013
2012
PAC-Bayes-Bernstein Inequality for Martingales and its Application to Multiarmed Bandits.
Proceedings of the Workshop on On-line Trading of Exploration and Exploitation 2, 2012
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012
Constraint Programming for Path Planning with Uncertainty - Solving the Optimal Search Path Problem.
Proceedings of the Principles and Practice of Constraint Programming, 2012
Proceedings of the Principles and Practice of Constraint Programming, 2012
2011
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011
Proceedings of the 28th International Conference on Machine Learning, 2011
Proceedings of the 28th International Conference on Machine Learning, 2011
2010
Learning the set covering machine by bound minimization and margin-sparsity trade-off.
Mach. Learn., 2010
Ray: Simultaneous Assembly of Reads from a Mix of High-Throughput Sequencing Technologies.
J. Comput. Biol., 2010
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010
Proceedings of the Algorithmic Learning Theory, 21st International Conference, 2010
2009
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2009
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009
Proceedings of the 26th Annual International Conference on Machine Learning, 2009
Proceedings of the CONCUR 2009 - Concurrency Theory, 20th International Conference, 2009
2008
Proceedings of the Fifth International Conference on the Quantitative Evaluaiton of Systems (QEST 2008), 2008
A Transductive Bound for the Voted Classifier with an Application to Semi-supervised Learning.
Proceedings of the Advances in Neural Information Processing Systems 21, 2008
Proceedings of the Advances in Artificial Intelligence , 2008
Proceedings of the Advances in Artificial Intelligence , 2008
2007
PAC-Bayes Risk Bounds for Stochastic Averages and Majority Votes of Sample-Compressed Classifiers.
J. Mach. Learn. Res., 2007
Revised Loss Bounds for the Set Covering Machine and Sample-Compression Loss Bounds for Imbalanced Data.
J. Mach. Learn. Res., 2007
2006
PAC-Bayes Bounds for the Risk of the Majority Vote and the Variance of the Gibbs Classifier.
Proceedings of the Advances in Neural Information Processing Systems 19, 2006
Proceedings of the Advances in Neural Information Processing Systems 19, 2006
Proceedings of the Machine Learning: ECML 2006, 2006
Proceedings of the Advances in Artificial Intelligence, 2006
2005
J. Comb. Theory, Ser. B, 2005
J. Comb. Theory, Ser. B, 2005
Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005
Proceedings of the Machine Learning, 2005
Proceedings of the Machine Learning: ECML 2005, 2005
2003
Proceedings of the Workshop on Domain Theoretic Methods for Probabilistic Processes, 2003
2002
2000
Discret. Math., 2000
1999
Discret. Math., 1999
1998
1997
1994
Decomposition of infinite eulerian graphs with a small number of vertices of infinite degree.
Discret. Math., 1994