Christian Gagné

153 papers A* 14A 15B 8C 1Journal 90Unranked 25

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Guide to Robust Generalization: The Impact of Architecture, Pre-training, and Optimization Strategy. CoRR Maxime Heuillet, Rishika Bhagwatkar, Jonas Ngnawé, Yann Pequignot, Alexandre Larouche, Christian Gagné, Irina Rish, Ola Ahmad, Audrey Durand
2025	A*	`conf`	A Layer Selection Approach to Test Time Adaptation. AAAI Sabyasachi Sahoo, Mostafa ElAraby, Jonas Ngnawé, Yann Batiste Pequignot, Frédéric Precioso, Christian Gagné
2025	J	`jnl`	Optimization-Induced Dynamics of Lipschitz Continuity in Neural Networks. CoRR Róisín Luo, James McDermott, Christian Gagné, Qiang Sun, Colm O'Riordan
2025	J	`jnl`	Personalized Federated Fine-Tuning of Vision Foundation Models for Healthcare. CoRR Adam Tupper, Christian Gagné
2025	J	`jnl`	Revisiting Data Augmentation for Ultrasound Images. CoRR Adam Tupper, Christian Gagné
2025	J	`jnl`	Revisiting Data Augmentation for Ultrasound Images. Trans. Mach. Learn. Res. Adam Tupper, Christian Gagné
2025	J	`jnl`	Robust Fine-Tuning from Non-Robust Pretrained Models: Mitigating Suboptimal Transfer With Adversarial Scheduling. CoRR Jonas Ngnawé, Maxime Heuillet, Sabyasachi Sahoo, Yann Pequignot, Ola Ahmad, Audrey Durand, Frédéric Precioso, Christian Gagné
2024	J	`jnl`	Adversarial Bounding Boxes Generation (ABBG) Attack against Visual Object Trackers. CoRR Fatemeh Nourilenjan Nokabadi, Jean-François Lalonde, Christian Gagné
2024	J	`jnl`	Analyzing Data Augmentation for Medical Images: A Case Study in Ultrasound Images. CoRR Adam Tupper, Christian Gagné
2024	A*	`conf`	Detecting Brittle Decisions for Free: Leveraging Margin Consistency in Deep Robust Classifiers. NeurIPS Jonas Ngnawé, Sabyasachi Sahoo, Yann Pequignot, Frédéric Precioso, Christian Gagné
2024	J	`jnl`	Detecting Brittle Decisions for Free: Leveraging Margin Consistency in Deep Robust Classifiers. CoRR Jonas Ngnawé, Sabyasachi Sahoo, Yann Pequignot, Frédéric Precioso, Christian Gagné
2024	A*	`conf`	Generalizing across Temporal Domains with Koopman Operators. AAAI Qiuhao Zeng, Wei Wang, Fan Zhou, Gezheng Xu, Ruizhi Pu, Changjian Shui, Christian Gagné, Shichun Yang, Charles X. Ling, Boyu Wang
2024	J	`jnl`	Generalizing across Temporal Domains with Koopman Operators. CoRR Qiuhao Zeng, Wei Wang, Fan Zhou, Gezheng Xu, Ruizhi Pu, Changjian Shui, Christian Gagné, Shichun Yang, Boyu Wang, Charles X. Ling
2024	J	`jnl`	Hessian Aware Low-Rank Perturbation for Order-Robust Continual Learning. IEEE Trans. Knowl. Data Eng. Jiaqi Li, Yuanhao Lai, Rui Wang, Changjian Shui, Sabyasachi Sahoo, Charles X. Ling, Shichun Yang, Boyu Wang, Christian Gagné, Fan Zhou
2024	J	`jnl`	Improving genetic algorithms performance via deterministic population shrinkage. CoRR Juan Luis Jiménez Laredo, Carlos M. Fernandes, Juan Julián Merelo, Christian Gagné
2024	J	`jnl`	Layerwise Early Stopping for Test Time Adaptation. CoRR Sabyasachi Sahoo, Mostafa ElAraby, Jonas Ngnawé, Yann Pequignot, Frédéric Precioso, Christian Gagné
2024	J	`jnl`	Reproducibility Study on Adversarial Attacks Against Robust Transformer Trackers. CoRR Fatemeh Nourilenjan Nokabadi, Jean-François Lalonde, Christian Gagné
2024	J	`jnl`	Reproducibility Study on Adversarial Attacks Against Robust Transformer Trackers. Trans. Mach. Learn. Res. Fatemeh Nourilenjan Nokabadi, Jean-François Lalonde, Christian Gagné
2024	J	`jnl`	TrackPGD: A White-box Attack using Binary Masks against Robust Transformer Trackers. CoRR Fatemeh Nourilenjan Nokabadi, Yann Batiste Pequignot, Jean-François Lalonde, Christian Gagné
2023	J	`jnl`	Denoising autoencoder genetic programming: strategies to control exploration and exploitation in search. Genet. Program. Evolvable Mach. David Wittenberg, Franz Rothlauf, Christian Gagné
2023	J	`jnl`	Domain Agnostic Image-to-image Translation using Low-Resolution Conditioning. CoRR Mohamed Abderrahmen Abid, Arman Afrasiyabi, Ihsen Hedhli, Jean-François Lalonde, Christian Gagné
2023	J	`jnl`	Filtering Pixel Latent Variables for Unmixing Volumetric Images. CoRR Catherine Bouchard, Vincent Boulanger, Flavie Lavoie-Cardinal, Christian Gagné
2023	J	`jnl`	Gap Minimization for Knowledge Sharing and Transfer. J. Mach. Learn. Res. Boyu Wang, Jorge A. Mendez, Changjian Shui, Fan Zhou, Di Wu, Gezheng Xu, Christian Gagné, Eric Eaton
2023	J	`jnl`	Hessian Aware Low-Rank Weight Perturbation for Continual Learning. CoRR Jiaqi Li, Rui Wang, Yuanhao Lai, Changjian Shui, Sabyasachi Sahoo, Charles X. Ling, Shichun Yang, Boyu Wang, Christian Gagné, Fan Zhou
2023	J	`jnl`	Improved Robustness Against Adaptive Attacks With Ensembles and Error-Correcting Output Codes. CoRR Thomas Philippon, Christian Gagné
2023	J	`jnl`	Lifelong Online Learning from Accumulated Knowledge. ACM Trans. Knowl. Discov. Data Changjian Shui, William Wei Wang, Ihsen Hedhli, Chi Man Wong, Feng Wan, Boyu Wang, Christian Gagné
2023	J	`jnl`	Resolution enhancement with a task-assisted GAN to guide optical nanoscopy image analysis and acquisition. Nat. Mac. Intell. Catherine Bouchard, Theresa Wiesner, Andréanne Deschênes, Anthony Bilodeau, Benoît Turcotte, Christian Gagné, Flavie Lavoie-Cardinal
2023	J	`jnl`	Towards More General Loss and Setting in Unsupervised Domain Adaptation. IEEE Trans. Knowl. Data Eng. Changjian Shui, Ruizhi Pu, Gezheng Xu, Jun Wen, Fan Zhou, Christian Gagné, Charles X. Ling, Boyu Wang
2022	J	`jnl`	A novel domain adaptation theory with Jensen-Shannon divergence. Knowl. Based Syst. Changjian Shui, Qi Chen, Jun Wen, Fan Zhou, Christian Gagné, Boyu Wang
2022	J	`jnl`	Evolving Domain Generalization. CoRR William Wei Wang, Gezheng Xu, Ruizhi Pu, Jiaqi Li, Fan Zhou, Changjian Shui, Charles X. Ling, Christian Gagné, Boyu Wang
2022	A*	`conf`	Fair Representation Learning through Implicit Path Alignment. ICML Changjian Shui, Qi Chen, Jiaqi Li, Boyu Wang, Christian Gagné
2022	J	`jnl`	Fair Representation Learning through Implicit Path Alignment. CoRR Changjian Shui, Qi Chen, Jiaqi Li, Boyu Wang, Christian Gagné
2022	J	`jnl`	Gap Minimization for Knowledge Sharing and Transfer. CoRR Boyu Wang, Jorge A. Mendez, Changjian Shui, Fan Zhou, Di Wu, Christian Gagné, Eric Eaton
2022	A*	`conf`	Matching Feature Sets for Few-Shot Image Classification. CVPR Arman Afrasiyabi, Hugo Larochelle, Jean-François Lalonde, Christian Gagné
2022	J	`jnl`	Matching Feature Sets for Few-Shot Image Classification. CoRR Arman Afrasiyabi, Hugo Larochelle, Jean-François Lalonde, Christian Gagné
2022	A*	`conf`	On Learning Fairness and Accuracy on Multiple Subgroups. NeurIPS Changjian Shui, Gezheng Xu, Qi Chen, Jiaqi Li, Charles X. Ling, Tal Arbel, Boyu Wang, Christian Gagné
2022	J	`jnl`	On Learning Fairness and Accuracy on Multiple Subgroups. CoRR Changjian Shui, Gezheng Xu, Qi Chen, Jiaqi Li, Charles Ling, Tal Arbel, Boyu Wang, Christian Gagné
2022	J	`jnl`	On the benefits of representation regularization in invariance based domain generalization. Mach. Learn. Changjian Shui, Boyu Wang, Christian Gagné
2021	J	`jnl`	A Generative Model for Hallucinating Diverse Versions of Super Resolution Images. CoRR Mohamed Abderrahmen Abid, Ihsen Hedhli, Christian Gagné
2021	—	`conf`	Active Learning for Capturing Human Decision Policies in a Data Frugal Context. LOD Loïc Grossetête, Alexandre Marois, Bénédicte Chatelais, Christian Gagné, Daniel Lafond
2021	A*	`conf`	Aggregating From Multiple Target-Shifted Sources. ICML Changjian Shui, Zijian Li, Jiaqi Li, Christian Gagné, Charles X. Ling, Boyu Wang
2021	J	`jnl`	Aggregating From Multiple Target-Shifted Sources. CoRR Changjian Shui, Zijian Li, Jiaqi Li, Christian Gagné, Charles X. Ling, Boyu Wang
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`	Image-to-Image Translation with Low Resolution Conditioning. CoRR Mohamed Abderrahmen Abid, Ihsen Hedhli, Jean-François Lalonde, Christian Gagné
2021	J	`jnl`	Meta Learning Black-Box Population-Based Optimizers. CoRR Hugo Siqueira Gomes, Benjamin Léger, Christian Gagné
2021	A*	`conf`	Mixture-based Feature Space Learning for Few-shot Image Classification. ICCV Arman Afrasiyabi, Jean-François Lalonde, Christian Gagné
2021	J	`jnl`	On the benefits of representation regularization in invariance based domain generalization. CoRR Changjian Shui, Boyu Wang, Christian Gagné
2021	J	`jnl`	Task Similarity Estimation Through Adversarial Multitask Neural Network. IEEE Trans. Neural Networks Learn. Syst. Fan Zhou, Changjian Shui, Mahdieh Abbasi, Louis-Émile Robitaille, Boyu Wang, Christian Gagné
2020	—	`conf`	Associative Alignment for Few-Shot Image Classification. ECCV (5) Arman Afrasiyabi, Jean-François Lalonde, Christian Gagné
2020	J	`jnl`	Beyond H-Divergence: Domain Adaptation Theory With Jensen-Shannon Divergence. CoRR Changjian Shui, Qi Chen, Jun Wen, Fan Zhou, Christian Gagné, Boyu Wang
2020	A	`conf`	Deep Active Learning: Unified and Principled Method for Query and Training. AISTATS Changjian Shui, Fan Zhou, Christian Gagné, Boyu Wang
2020	—	`conf`	Improving Policy-Capturing with Active Learning for Real-Time Decision Support. IHSI Bénédicte Chatelais, Daniel Lafond, Alexandre Hains, Christian Gagné
2020	B	`conf`	Input Dropout for Spatially Aligned Modalities. ICIP Sébastien de Blois, Mathieu Garon, Christian Gagné, Jean-François Lalonde
2020	J	`jnl`	Input Dropout for Spatially Aligned Modalities. CoRR Sébastien de Blois, Mathieu Garon, Christian Gagné, Jean-François Lalonde
2020	J	`jnl`	Persistent Mixture Model Networks for Few-Shot Image Classification. CoRR Arman Afrasiyabi, Jean-François Lalonde, Christian Gagné
2020	J	`jnl`	Self-supervised Robust Object Detectors from Partially Labelled datasets. CoRR Mahdieh Abbasi, Denis Laurendeau, Christian Gagné
2020	J	`jnl`	The Surprising Creativity of Digital Evolution: A Collection of Anecdotes from the Evolutionary Computation and Artificial Life Research Communities. Artif. Life Joel Lehman, Jeff Clune, Dusan Misevic, Christoph Adami, Lee Altenberg, Julie Beaulieu, Peter J. Bentley, Samuel Bernard, Guillaume Beslon, David M. Bryson, Nick Cheney, Patryk Chrabaszcz, Antoine Cully, Stéphane Doncieux, Fred C. Dyer, Kai Olav Ellefsen, Robert Feldt, Stephan Fischer, Stephanie Forrest, Antoine Frénoy, Christian Gagné, Léni K. Le Goff, Laura M. Grabowski, Babak Hodjat, Frank Hutter, Laurent Keller, Carole Knibbe, Peter Krcah, Richard E. Lenski, Hod Lipson, Robert MacCurdy, Carlos Maestre, Risto Miikkulainen, Sara Mitri, David E. Moriarty, Jean-Baptiste Mouret, Anh Nguyen, Charles Ofria, Marc Parizeau, David P. Parsons, Robert T. Pennock, William F. Punch, Thomas S. Ray, Marc Schoenauer, Eric Schulte, Karl Sims, Kenneth O. Stanley, François Taddei, Danesh Tarapore, Simon Thibault, Richard A. Watson, Westley Weimer, Jason Yosinski
2020	—	`conf`	Toward Adversarial Robustness by Diversity in an Ensemble of Specialized Deep Neural Networks. Canadian AI Mahdieh Abbasi, Arezoo Rajabi, Christian Gagné, Rakesh B. Bobba
2020	J	`jnl`	Toward Adversarial Robustness by Diversity in an Ensemble of Specialized Deep Neural Networks. CoRR Mahdieh Abbasi, Arezoo Rajabi, Christian Gagné, Rakesh B. Bobba
2020	A	`conf`	Toward Metrics for Differentiating Out-of-Distribution Sets. ECAI Mahdieh Abbasi, Changjian Shui, Arezoo Rajabi, Christian Gagné, Rakesh B. Bobba
2019	J	`jnl`	A Novel Unsupervised Post-Processing Calibration Method for DNNS with Robustness to Domain Shift. CoRR Azadeh Sadat Mozafari, Hugo Siqueira Gomes, Christian Gagné
2019	A*	`conf`	A Principled Approach for Learning Task Similarity in Multitask Learning. IJCAI Changjian Shui, Mahdieh Abbasi, Louis-Émile Robitaille, Boyu Wang, Christian Gagné
2019	J	`jnl`	A Principled Approach for Learning Task Similarity in Multitask Learning. CoRR Changjian Shui, Mahdieh Abbasi, Louis-Émile Robitaille, Boyu Wang, Christian Gagné
2019	J	`jnl`	Associative Alignment for Few-shot Image Classification. CoRR Arman Afrasiyabi, Jean-François Lalonde, Christian Gagné
2019	J	`jnl`	Deep Active Learning: Unified and Principled Method for Query and Training. CoRR Changjian Shui, Fan Zhou, Christian Gagné, Boyu Wang
2019	A*	`conf`	Deep Parametric Indoor Lighting Estimation. ICCV Marc-André Gardner, Yannick Hold-Geoffroy, Kalyan Sunkavalli, Christian Gagné, Jean-François Lalonde
2019	J	`jnl`	Deep Parametric Indoor Lighting Estimation. CoRR Marc-André Gardner, Yannick Hold-Geoffroy, Kalyan Sunkavalli, Christian Gagné, Jean-François Lalonde
2019	J	`jnl`	Demand-Side Management Using Deep Learning for Smart Charging of Electric Vehicles. IEEE Trans. Smart Grid Karol Lina López Bedoya, Christian Gagné, Marc-André Gardner
2019	—	`conf`	Learning of Image Dehazing Models for Segmentation Tasks. EUSIPCO Sébastien de Blois, Ihsen Hedhli, Christian Gagné
2019	J	`jnl`	Learning of Image Dehazing Models for Segmentation Tasks. CoRR Sébastien de Blois, Ihsen Hedhli, Christian Gagné
2019	J	`jnl`	Toward Metrics for Differentiating Out-of-Distribution Sets. CoRR Mahdieh Abbasi, Changjian Shui, Arezoo Rajabi, Christian Gagné, Rakesh Bobba
2019	J	`jnl`	Unsupervised Temperature Scaling: Post-Processing Unsupervised Calibration of Deep Models Decisions. CoRR Azadeh Sadat Mozafari, Hugo Siqueira Gomes, Wilson Leão, Christian Gagné
2018	J	`jnl`	A New Loss Function for Temperature Scaling to have Better Calibrated Deep Networks. CoRR Azadeh Sadat Mozafari, Hugo Siqueira Gomes, Steeven Janny, Christian Gagné
2018	J	`jnl`	A two-step approach for mining patient treatment pathways in administrative healthcare databases. Artif. Intell. Medicine Ahmed Najjar, Daniel Reinharz, Catherine Girouard, Christian Gagné
2018	J	`jnl`	Accumulating Knowledge for Lifelong Online Learning. CoRR Changjian Shui, Ihsen Hedhli, Christian Gagné
2018	J	`jnl`	Controlling Over-generalization and its Effect on Adversarial Examples Generation and Detection. CoRR Mahdieh Abbasi, Arezoo Rajabi, Azadeh Sadat Mozafari, Rakesh B. Bobba, Christian Gagné
2018	J	`jnl`	Diversity regularization in deep ensembles. CoRR Changjian Shui, Azadeh Sadat Mozafari, Jonathan Marek, Ihsen Hedhli, Christian Gagné
2018	J	`jnl`	Evaluating and Characterizing Incremental Learning from Non-Stationary Data. CoRR Alejandro Cervantes, Christian Gagné, Pedro Isasi, Marc Parizeau
2018	J	`jnl`	Learning to Become an Expert: Deep Networks Applied To Super-Resolution Microscopy. CoRR Louis-Émile Robitaille, Audrey Durand, Marc-André Gardner, Christian Gagné, Paul De Koninck, Flavie Lavoie-Cardinal
2018	A*	`conf`	Learning to Become an Expert: Deep Networks Applied to Super-Resolution Microscopy. AAAI Louis-Émile Robitaille, Audrey Durand, Marc-André Gardner, Christian Gagné, Paul De Koninck, Flavie Lavoie-Cardinal
2018	—	`conf`	Optimal Scheduling for Smart Charging of Electric Vehicles Using Dynamic Programming. Canadian AI Karol Lina López Bedoya, Christian Gagné
2018	J	`jnl`	Out-distribution training confers robustness to deep neural networks. CoRR Mahdieh Abbasi, Christian Gagné
2018	A*	`conf`	Rating Super-Resolution Microscopy Images With Deep Learning. AAAI Louis-Émile Robitaille, Audrey Durand, Marc-André Gardner, Christian Gagné, Paul De Koninck, Flavie Lavoie-Cardinal
2018	J	`jnl`	The Surprising Creativity of Digital Evolution: A Collection of Anecdotes from the Evolutionary Computation and Artificial Life Research Communities. CoRR Joel Lehman, Jeff Clune, Dusan Misevic, Christoph Adami, Lee Altenberg, Julie Beaulieu, Peter J. Bentley, Samuel Bernard, Guillaume Beslon, David M. Bryson, Patryk Chrabaszcz, Nick Cheney, Antoine Cully, Stéphane Doncieux, Fred C. Dyer, Kai Olav Ellefsen, Robert Feldt, Stephan Fischer, Stephanie Forrest, Antoine Frénoy, Christian Gagné, Leni K. Le Goff, Laura M. Grabowski, Babak Hodjat, Frank Hutter, Laurent Keller, Carole Knibbe, Peter Krcah, Richard E. Lenski, Hod Lipson, Robert MacCurdy, Carlos Maestre, Risto Miikkulainen, Sara Mitri, David E. Moriarty, Jean-Baptiste Mouret, Anh Nguyen, Charles Ofria, Marc Parizeau, David P. Parsons, Robert T. Pennock, William F. Punch, Thomas S. Ray, Marc Schoenauer, Eric Schulte, Karl Sims, Kenneth O. Stanley, François Taddei, Danesh Tarapore, Simon Thibault, Westley Weimer, Richard A. Watson, Jason Yosinski
2018	J	`jnl`	Towards Dependable Deep Convolutional Neural Networks (CNNs) with Out-distribution Learning. CoRR Arezoo Rajabi, Mahdieh Abbasi, Christian Gagné, Rakesh B. Bobba
2017	B	`conf`	Bayesian optimization for conditional hyperparameter spaces. IJCNN Julien-Charles Levesque, Audrey Durand, Christian Gagné, Robert Sabourin
2017	J	`jnl`	Estimating Quality in User-Guided Multi-Objective Bandits Optimization. CoRR Audrey Durand, Christian Gagné
2017	J	`jnl`	Learning to Predict Indoor Illumination from a Single Image. CoRR Marc-André Gardner, Kalyan Sunkavalli, Ersin Yumer, Xiaohui Shen, Emiliano Gambaretto, Christian Gagné, Jean-François Lalonde
2017	J	`jnl`	Learning to predict indoor illumination from a single image. ACM Trans. Graph. Marc-André Gardner, Kalyan Sunkavalli, Ersin Yumer, Xiaohui Shen, Emiliano Gambaretto, Christian Gagné, Jean-François Lalonde
2017	J	`jnl`	Query Completion Using Bandits for Engines Aggregation. CoRR Audrey Durand, Jean-Alexandre Beaumont, Christian Gagné, Michel Lemay, Sébastien Paquet
2017	—	`conf`	Robustness to Adversarial Examples through an Ensemble of Specialists. ICLR (Workshop) Mahdieh Abbasi, Christian Gagné
2017	J	`jnl`	Robustness to Adversarial Examples through an Ensemble of Specialists. CoRR Mahdieh Abbasi, Christian Gagné
2016	J	`jnl`	A double-layer ELM with added feature selection ability using a sparse Bayesian approach. Neurocomputing Farkhondeh Kiaee, Christian Gagné, Hamid Sheikhzadeh
2016	J	`jnl`	Alternating Direction Method of Multipliers for Sparse Convolutional Neural Networks. CoRR Farkhondeh Kiaee, Christian Gagné, Mahdieh Abbasi
2016	A	`conf`	Bayesian Hyperparameter Optimization for Ensemble Learning. UAI Julien-Charles Levesque, Christian Gagné, Robert Sabourin
2016	J	`jnl`	Bayesian Hyperparameter Optimization for Ensemble Learning. CoRR Julien-Charles Levesque, Christian Gagné, Robert Sabourin
2016	B	`conf`	Sensor control for temporal coverage optimization. CEC Vahab Akbarzadeh, Christian Gagné, Marc Parizeau
2016	B	`conf`	Stream clustering of tweets. ASONAM Sophie Baillargeon, Simon Hallé, Christian Gagné
2015	J	`jnl`	Context-Aware Local Optimization of Sensor Network Deployment. J. Sens. Actuator Networks Meysam Argany, Mir Abolfazl Mostafavi, Christian Gagné
2015	J	`jnl`	Controlling code growth by dynamically shaping the genotype size distribution. Genet. Program. Evolvable Mach. Marc-André Gardner, Christian Gagné, Marc Parizeau
2015	A	`conf`	Kernel density estimation for target trajectory prediction. IROS Vahab Akbarzadeh, Christian Gagné, Marc Parizeau
2015	—	`conf`	Monocular 3D Human Pose Estimation with a Semi-supervised Graph-Based Method. 3DV Mahdieh Abbasi, Hamid R. Rabiee, Christian Gagné
2015	A*	`conf`	Multisensor placement in 3D environments via visibility estimation and derivative-free optimization. ICRA François-Michel De Rainville, Jean-Philippe Mercier, Christian Gagné, Philippe Giguère, Denis Laurendeau
2015	—	`conf`	PGP2X: Principal Geometric Primitives Parameters Extraction. GRAPP Zahra Toony, Denis Laurendeau, Christian Gagné
2015	J	`jnl`	Training subset selection in Hourly Ontario Energy Price forecasting using time series clustering-based stratification. Neurocomputing Karol Lina López Bedoya, Christian Gagné, Germán Castellanos-Domínguez, Mauricio Orozco-Alzate
2015	A*	`conf`	Two-Step Heterogeneous Finite Mixture Model Clustering for Mining Healthcare Databases. ICDM Ahmed Najjar, Christian Gagné, Daniel Reinharz
2014	—	`conf`	3D-NCuts: Adapting Normalized Cuts to 3D Triangulated Surface Segmentation. GRAPP Zahra Toony, Denis Laurendeau, Philippe Giguère, Christian Gagné
2014	—	`conf`	A novel mixed values k-prototypes algorithm with application to health care databases mining. CICARE Ahmed Najjar, Christian Gagné, Daniel Reinharz
2014	J	`jnl`	Efficient Sensor Placement Optimization Using Gradient Descent and Probabilistic Coverage. Sensors Vahab Akbarzadeh, Julien-Charles Levesque, Christian Gagné, Marc Parizeau
2013	—	`conf`	3D-PIC: Power Iteration Clustering for segmenting three-dimensional models. 3DTV-Conference Zahra Toony, Denis Laurendeau, Philippe Giguère, Christian Gagné
2013	—	`conf`	Combinatorial optimization EDA using hidden Markov models. GECCO (Companion) Marc-André Gardner, Christian Gagné, Marc Parizeau
2013	—	`conf`	Estimation of distribution algorithm based on hidden Markov models for combinatorial optimization. GECCO (Companion) Marc-André Gardner, Christian Gagné, Marc Parizeau
2013	—	`conf`	Evolutionary computation for supervised learning. GECCO (Companion) Christian Gagné
2013	A	`conf`	Evolutionary multiobjective optimization for selecting members of an ensemble streamflow forecasting model. GECCO Darwin Brochero, Christian Gagné, François Anctil
2013	J	`jnl`	Probabilistic Sensing Model for Sensor Placement Optimization Based on Line-of-Sight Coverage. IEEE Trans. Instrum. Meas. Vahab Akbarzadeh, Christian Gagné, Marc Parizeau, Meysam Argany, Mir Abolfazl Mostafavi
2013	B	`conf`	Sequential emotion recognition using Latent-Dynamic Conditional Neural Fields. FG Julien-Charles Levesque, Louis-Philippe Morency, Christian Gagné
2013	J	`jnl`	Sustainable Cooperative Coevolution with a Multi-Armed Bandit CoRR François-Michel De Rainville, Michèle Sebag, Christian Gagné, Marc Schoenauer, Denis Laurendeau
2013	A	`conf`	Sustainable cooperative coevolution with a multi-armed bandit. GECCO François-Michel De Rainville, Michèle Sebag, Christian Gagné, Marc Schoenauer, Denis Laurendeau
2013	—	`conf`	Target Trajectory Prediction in PTZ Camera Networks. CVPR Workshops Vahab Akbarzadeh, Christian Gagné, Marc Parizeau
2013	—	`conf`	ros4mat: A Matlab Programming Interface for Remote Operations of ROS-Based Robotic Devices in an Educational Context. CRV Yannick Hold-Geoffroy, Marc-André Gardner, Christian Gagné, Maxime Latulippe, Philippe Giguère
2012	—	`conf`	Co-adapting mobile sensor networks to maximize coverage in dynamic environments. GECCO (Companion) François-Michel De Rainville, Christian Gagné, Denis Laurendeau
2012	—	`conf`	DEAP: a python framework for evolutionary algorithms. GECCO (Companion) François-Michel De Rainville, Félix-Antoine Fortin, Marc-André Gardner, Marc Parizeau, Christian Gagné
2012	J	`jnl`	DEAP: evolutionary algorithms made easy. J. Mach. Learn. Res. Félix-Antoine Fortin, François-Michel De Rainville, Marc-André Gardner, Marc Parizeau, Christian Gagné
2012	J	`jnl`	Evolutionary optimization of low-discrepancy sequences. ACM Trans. Model. Comput. Simul. François-Michel De Rainville, Christian Gagné, Olivier Teytaud, Denis Laurendeau
2012	A	`conf`	Multi-objective evolutionary optimization for generating ensembles of classifiers in the ROC space. GECCO Julien-Charles Levesque, Audrey Durand, Christian Gagné, Robert Sabourin
2012	J	`jnl`	Population-Based Simulation for Public Health: Generic Software Infrastructure and Its Application to Osteoporosis. IEEE Trans. Syst. Man Cybern. Part A Audrey Durand, Christian Gagné, Léon Nshimyumukiza, Mathieu Gagnon, François Rousseau, Yves Giguère, Daniel Reinharz
2011	J	`jnl`	A GIS Based Wireless Sensor Network Coverage Estimation and Optimization: A Voronoi Approach. Trans. Comput. Sci. Meysam Argany, Mir Abolfazl Mostafavi, Farid Karimipour, Christian Gagné
2011	—	`conf`	Black-box optimization of sensor placement with elevation maps and probabilistic sensing models. ROSE Vahab Akbarzadeh, Christian Gagné, Marc Parizeau, Mir Abolfazl Mostafavi
2011	—	`conf`	Bloat control in genetic programming with a histogram-based accept-reject method. GECCO (Companion) Marc-André Gardner, Christian Gagné, Marc Parizeau
2010	—	`conf`	SCHNAPS: a generic population-based simulator for public health purposes. SummerSim Audrey Durand, Christian Gagné, Marc-André Gardner, François Rousseau, Yves Giguère, Daniel Reinharz
2010	—	`conf`	Topography-Aware Sensor Deployment Optimization with CMA-ES. PPSN (2) Vahab Akbarzadeh, Albert Hung-Ren Ko, Christian Gagné, Marc Parizeau
2009	B	`conf`	A Statistical Learning Perspective of Genetic Programming. EuroGP Nur Merve Amil, Nicolas Bredèche, Christian Gagné, Sylvain Gelly, Marc Schoenauer, Olivier Teytaud
2009	C	`conf`	Co-evolutionary information gathering for a cooperative unmanned aerial vehicle team. FUSION Jean Berger, Jens Happe, Christian Gagné, Martin Lau
2009	A	`conf`	Improving genetic algorithms performance via deterministic population shrinkage. GECCO Juan Luis Jiménez Laredo, Carlos M. Fernandes, Juan Julián Merelo Guervós, Christian Gagné
2009	A	`conf`	Optimizing low-discrepancy sequences with an evolutionary algorithm. GECCO François-Michel De Rainville, Christian Gagné, Olivier Teytaud, Denis Laurendeau
2008	J	`jnl`	Human-competitive lens system design with evolution strategies. Appl. Soft Comput. Christian Gagné, Julie Beaulieu, Marc Parizeau, Simon Thibault
2007	J	`jnl`	Coevolution of Nearest Neighbor Classifiers. Int. J. Pattern Recognit. Artif. Intell. Christian Gagné, Marc Parizeau
2007	J	`jnl`	Ensemble Learning for Free with Evolutionary Algorithms ? CoRR Christian Gagné, Michèle Sebag, Marc Schoenauer, Marco Tomassini
2007	A	`conf`	Ensemble learning for free with evolutionary algorithms? GECCO Christian Gagné, Michèle Sebag, Marc Schoenauer, Marco Tomassini
2006	J	`jnl`	Analysis of a master-slave architecture for distributed evolutionary computations. IEEE Trans. Syst. Man Cybern. Part B Marc Dubreuil, Christian Gagné, Marc Parizeau
2006	J	`jnl`	Genericity in Evolutionary Computation Software Tools: Principles and Case-study. Int. J. Artif. Intell. Tools Christian Gagné, Marc Parizeau
2006	A	`conf`	Genetic Programming for Kernel-Based Learning with Co-evolving Subsets Selection. PPSN Christian Gagné, Marc Schoenauer, Michèle Sebag, Marco Tomassini
2006	J	`jnl`	Genetic Programming for Kernel-based Learning with Co-evolving Subsets Selection CoRR Christian Gagné, Marc Schoenauer, Michèle Sebag, Marco Tomassini
2006	J	`jnl`	Genetic Programming, Validation Sets, and Parsimony Pressure CoRR Christian Gagné, Marc Schoenauer, Marc Parizeau, Marco Tomassini
2006	B	`conf`	Genetic Programming, Validation Sets, and Parsimony Pressure. EuroGP Christian Gagné, Marc Schoenauer, Marc Parizeau, Marco Tomassini
2006	J	`jnl`	Genetic engineering of hierarchical fuzzy regional representations for handwritten character recognition. Int. J. Document Anal. Recognit. Christian Gagné, Marc Parizeau
2006	B	`conf`	Resource-Aware Parameterizations of EDA. IEEE Congress on Evolutionary Computation Sylvain Gelly, Olivier Teytaud, Christian Gagné
2003	A	`conf`	The Master-Slave Architecture for Evolutionary Computations Revisited. GECCO Christian Gagné, Marc Parizeau, Marc Dubreuil
2002	—	`conf`	Genetic engineering of handwriting representations. IWFHR Alexandre Lemieux, Christian Gagné, Marc Parizeau
2002	A	`conf`	Lens System Design And Re-engineering With Evolutionary Algorithms. GECCO Julie Beaulieu, Christian Gagné, Marc Parizeau
2002	A	`conf`	Open BEAGLE: A New C++ Evolutionary Computation Framework. GECCO Christian Gagné, Marc Parizeau
2002	—	`conf`	Open BEAGLE: A New Versatile C++ Framework for Evolutionary Computation. GECCO Late Breaking Papers Christian Gagné, Marc Parizeau
2001	A	`conf`	Character Recognition Experiments Using Unipen Data. ICDAR Marc Parizeau, Alexandre Lemieux, Christian Gagné