DEAP: Evolutionary algorithms made easy FA Fortin, FM De Rainville, MA Gardner, M Parizeau, C Gagné Journal of Machine Learning Research 13, 2171-2175, 2012 | 2538 | 2012 |
Learning to predict indoor illumination from a single image MA Gardner, K Sunkavalli, E Yumer, X Shen, E Gambaretto, C Gagné, ... ACM Transactions on Graphics 9 (4), 2017 | 520 | 2017 |
The surprising creativity of digital evolution: A collection of anecdotes from the evolutionary computation and artificial life research communities J Lehman, J Clune, D Misevic, C Adami, L Altenberg, J Beaulieu, ... Artificial life 26 (2), 274-306, 2020 | 346 | 2020 |
DEAP: A Python Framework for Evolutionary Algorithms FM De Rainville, FA Fortin, MA Gardner, M Parizeau, C Gagné EvoSoft Workshop, Genetic and Evolutionary Computation Conference (GECCO …, 2012 | 252 | 2012 |
Demand-side management using deep learning for smart charging of electric vehicles KL López, C Gagné, MA Gardner IEEE Transactions on Smart Grid 10 (3), 2683-2691, 2019 | 228 | 2019 |
Deep active learning: Unified and principled method for query and training C Shui, F Zhou, C Gagné, B Wang International Conference on Artificial Intelligence and Statistics, 1308-1318, 2020 | 169 | 2020 |
Associative alignment for few-shot image classification A Afrasiyabi, JF Lalonde, C Gagné Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 167 | 2020 |
Genericity in evolutionary computation software tools: Principles and case-study C Gagné, M Parizeau International Journal on Artificial Intelligence Tools 15 (2), 173-194, 2006 | 166 | 2006 |
Probabilistic Sensing Model for Sensor Placement Optimization Based on Line-of-Sight Coverage V Akbarzadeh, C Gagné, M Parizeau, M Argany, MA Mostafavi IEEE Transactions on Instrumentation and Measurement 62 (2), 293-303, 2013 | 160 | 2013 |
Deep parametric indoor lighting estimation MA Gardner, Y Hold-Geoffroy, K Sunkavalli, C Gagné, JF Lalonde Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 143 | 2019 |
Robustness to adversarial examples through an ensemble of specialists M Abbasi, C Gagné International Conference on Learning Representations (ICLR), Workshop Track, 2017 | 142 | 2017 |
Analysis of a master-slave architecture for distributed evolutionary computations M Dubreuil, C Gagné, M Parizeau IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics 36 …, 2006 | 106 | 2006 |
Genetic programming, validation sets, and parsimony pressure C Gagné, M Schoenauer, M Parizeau, M Tomassini European Conference on Genetic Programming (EuroGP), 109-120, 2006 | 95 | 2006 |
Matching feature sets for few-shot image classification A Afrasiyabi, H Larochelle, JF Lalonde, C Gagné Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 93 | 2022 |
A GIS based wireless sensor network coverage estimation and optimization: a Voronoi approach M Argany, MA Mostafavi, F Karimipour, C Gagné Transactions on Computational Science XIV: Special Issue on Voronoi Diagrams …, 2011 | 86 | 2011 |
Mixture-based feature space learning for few-shot image classification A Afrasiyabi, JF Lalonde, C Gagné Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 82 | 2021 |
Open BEAGLE: A new versatile C++ framework for evolutionary computation C Gagné, M Parizeau Genetic and Evolutionary Computation Conference (GECCO), Late-Breaking Papers, 2002 | 74 | 2002 |
Bayesian hyperparameter optimization for ensemble learning JC Lévesque, C Gagné, R Sabourin Uncertainty in Artificial Intelligence (UAI), 2016 | 71 | 2016 |
A machine learning approach for online automated optimization of super-resolution optical microscopy A Durand, T Wiesner, MA Gardner, LÉ Robitaille, A Bilodeau, C Gagné, ... Nature communications 9, 2018 | 67 | 2018 |
Distributed BEAGLE: An environment for parallel and distributed evolutionary computations C Gagné, M Parizeau, M Dubreuil International Symposium on High Performance Computing Systems and …, 2003 | 67 | 2003 |