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ORCIDChristian Gagné 0001
Person information
- affiliation (PhD 2005): Université Laval, Institute Intelligence and Data (IID), Québec City, QC, Canada
- affiliation: MacDonald Dettwiler and Associates Limited, BC, Canada
- affiliation: Informatique WGZ Inc, Québec City, QC, Canada
- affiliation: University of Lausanne, Switzerland
Other persons with the same name
- Christian Gagné 0002 — Statistics Canada, Ottawa, ON, Canada
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2020 – today
- 2024
[j30]Jiaqi Li
, Yuanhao Lai, Rui Wang, Changjian Shui, Sabyasachi Sahoo, Charles X. Ling, Shichun Yang, Boyu Wang, Christian Gagné, Fan Zhou:
Hessian Aware Low-Rank Perturbation for Order-Robust Continual Learning. IEEE Trans. Knowl. Data Eng. 36(11): 6385-6396 (2024)- [j29]Fatemeh Nourilenjan Nokabadi, Jean-François Lalonde, Christian Gagné:
Reproducibility Study on Adversarial Attacks Against Robust Transformer Trackers. Trans. Mach. Learn. Res. 2024 (2024) - [c61]Qiuhao Zeng, Wei Wang, Fan Zhou, Gezheng Xu, Ruizhi Pu, Changjian Shui, Christian Gagné, Shichun Yang, Charles X. Ling, Boyu Wang:
Generalizing across Temporal Domains with Koopman Operators. AAAI 2024: 16651-16659 - [i53]Juan Luis Jiménez Laredo, Carlos M. Fernandes, Juan Julián Merelo, Christian Gagné:
Improving genetic algorithms performance via deterministic population shrinkage. CoRR abs/2401.12121 (2024) - [i52]Qiuhao Zeng, Wei Wang, Fan Zhou, Gezheng Xu, Ruizhi Pu, Changjian Shui, Christian Gagné, Shichun Yang, Boyu Wang, Charles X. Ling:
Generalizing across Temporal Domains with Koopman Operators. CoRR abs/2402.07834 (2024) - [i51]Adam Tupper, Christian Gagné:
Analyzing Data Augmentation for Medical Images: A Case Study in Ultrasound Images. CoRR abs/2403.09828 (2024) - [i50]Sabyasachi Sahoo, Mostafa ElAraby, Jonas Ngnawé, Yann Pequignot, Frédéric Precioso, Christian Gagné:
Layerwise Early Stopping for Test Time Adaptation. CoRR abs/2404.03784 (2024) - [i49]Fatemeh Nourilenjan Nokabadi, Jean-François Lalonde, Christian Gagné:
Reproducibility Study on Adversarial Attacks Against Robust Transformer Trackers. CoRR abs/2406.01765 (2024) - [i48]Jonas Ngnawé, Sabyasachi Sahoo, Yann Pequignot, Frédéric Precioso, Christian Gagné:
Detecting Brittle Decisions for Free: Leveraging Margin Consistency in Deep Robust Classifiers. CoRR abs/2406.18451 (2024) - [i47]Fatemeh Nourilenjan Nokabadi, Yann Batiste Pequignot, Jean-François Lalonde, Christian Gagné:
TrackPGD: A White-box Attack using Binary Masks against Robust Transformer Trackers. CoRR abs/2407.03946 (2024) - 2023
- [j28]David Wittenberg, Franz Rothlauf, Christian Gagné:
Denoising autoencoder genetic programming: strategies to control exploration and exploitation in search. Genet. Program. Evolvable Mach. 24(2): 17 (2023) - [j27]Boyu Wang, Jorge A. Mendez, Changjian Shui, Fan Zhou, Di Wu, Gezheng Xu, Christian Gagné, Eric Eaton:
Gap Minimization for Knowledge Sharing and Transfer. J. Mach. Learn. Res. 24: 33:1-33:57 (2023) - [j26]Catherine Bouchard, Theresa Wiesner, Andréanne Deschênes, Anthony Bilodeau, Benoît Turcotte, Christian Gagné, Flavie Lavoie-Cardinal:
Resolution enhancement with a task-assisted GAN to guide optical nanoscopy image analysis and acquisition. Nat. Mac. Intell. 5(8): 830-844 (2023) - [j25]Changjian Shui, William Wei Wang, Ihsen Hedhli, Chi Man Wong, Feng Wan, Boyu Wang, Christian Gagné:
Lifelong Online Learning from Accumulated Knowledge. ACM Trans. Knowl. Discov. Data 17(4): 52:1-52:23 (2023) - [j24]Changjian Shui, Ruizhi Pu, Gezheng Xu, Jun Wen, Fan Zhou, Christian Gagné, Charles X. Ling, Boyu Wang:
Towards More General Loss and Setting in Unsupervised Domain Adaptation. IEEE Trans. Knowl. Data Eng. 35(10): 10140-10150 (2023) - [i46]Thomas Philippon, Christian Gagné:
Improved Robustness Against Adaptive Attacks With Ensembles and Error-Correcting Output Codes. CoRR abs/2303.02322 (2023) - [i45]Mohamed Abderrahmen Abid, Arman Afrasiyabi, Ihsen Hedhli, Jean-François Lalonde, Christian Gagné:
Domain Agnostic Image-to-image Translation using Low-Resolution Conditioning. CoRR abs/2305.05023 (2023) - [i44]Jiaqi Li, Rui Wang, Yuanhao Lai, Changjian Shui, Sabyasachi Sahoo, Charles X. Ling, Shichun Yang, Boyu Wang, Christian Gagné, Fan Zhou:
Hessian Aware Low-Rank Weight Perturbation for Continual Learning. CoRR abs/2311.15161 (2023) - [i43]Catherine Bouchard, Vincent Boulanger, Flavie Lavoie-Cardinal, Christian Gagné:
Filtering Pixel Latent Variables for Unmixing Volumetric Images. CoRR abs/2312.05357 (2023) - 2022
- [j23]Changjian Shui, Qi Chen, Jun Wen, Fan Zhou, Christian Gagné, Boyu Wang:
A novel domain adaptation theory with Jensen-Shannon divergence. Knowl. Based Syst. 257: 109808 (2022) - [j22]Changjian Shui, Boyu Wang, Christian Gagné:
On the benefits of representation regularization in invariance based domain generalization. Mach. Learn. 111(3): 895-915 (2022) - [c60]Arman Afrasiyabi, Hugo Larochelle, Jean-François Lalonde, Christian Gagné:
Matching Feature Sets for Few-Shot Image Classification. CVPR 2022: 9004-9014 - [c59]Changjian Shui, Qi Chen, Jiaqi Li, Boyu Wang, Christian Gagné:
Fair Representation Learning through Implicit Path Alignment. ICML 2022: 20156-20175 - [c58]Changjian Shui, Gezheng Xu, Qi Chen, Jiaqi Li, Charles X. Ling, Tal Arbel, Boyu Wang, Christian Gagné:
On Learning Fairness and Accuracy on Multiple Subgroups. NeurIPS 2022 - [i42]Boyu Wang, Jorge A. Mendez, Changjian Shui, Fan Zhou, Di Wu, Christian Gagné, Eric Eaton:
Gap Minimization for Knowledge Sharing and Transfer. CoRR abs/2201.11231 (2022) - [i41]Arman Afrasiyabi, Hugo Larochelle, Jean-François Lalonde, Christian Gagné:
Matching Feature Sets for Few-Shot Image Classification. CoRR abs/2204.00949 (2022) - [i40]Changjian Shui, Qi Chen, Jiaqi Li, Boyu Wang, Christian Gagné:
Fair Representation Learning through Implicit Path Alignment. CoRR abs/2205.13316 (2022) - [i39]William Wei Wang, Gezheng Xu, Ruizhi Pu, Jiaqi Li, Fan Zhou, Changjian Shui, Charles X. Ling, Christian Gagné, Boyu Wang:
Evolving Domain Generalization. CoRR abs/2206.00047 (2022) - [i38]Changjian Shui, Gezheng Xu, Qi Chen, Jiaqi Li, Charles Ling, Tal Arbel, Boyu Wang, Christian Gagné:
On Learning Fairness and Accuracy on Multiple Subgroups. CoRR abs/2210.10837 (2022) - 2021
- [j21]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:
Exploring polypharmacy with artificial intelligence: data analysis protocol. BMC Medical Informatics Decis. Mak. 21(1): 219 (2021) - [j20]Fan Zhou, Changjian Shui, Mahdieh Abbasi, Louis-Émile Robitaille, Boyu Wang, Christian Gagné:
Task Similarity Estimation Through Adversarial Multitask Neural Network. IEEE Trans. Neural Networks Learn. Syst. 32(2): 466-480 (2021) - [c57]Arman Afrasiyabi, Jean-François Lalonde, Christian Gagné:
Mixture-based Feature Space Learning for Few-shot Image Classification. ICCV 2021: 9021-9031 - [c56]Changjian Shui, Zijian Li, Jiaqi Li, Christian Gagné, Charles X. Ling, Boyu Wang:
Aggregating From Multiple Target-Shifted Sources. ICML 2021: 9638-9648 - [c55]Loïc Grossetête, Alexandre Marois, Bénédicte Chatelais, Christian Gagné, Daniel Lafond:
Active Learning for Capturing Human Decision Policies in a Data Frugal Context. LOD 2021: 395-407 - [i37]Mohamed Abderrahmen Abid, Ihsen Hedhli, Christian Gagné:
A Generative Model for Hallucinating Diverse Versions of Super Resolution Images. CoRR abs/2102.06624 (2021) - [i36]Hugo Siqueira Gomes, Benjamin Léger, Christian Gagné:
Meta Learning Black-Box Population-Based Optimizers. CoRR abs/2103.03526 (2021) - [i35]Changjian Shui, Zijian Li, Jiaqi Li, Christian Gagné, Charles X. Ling, Boyu Wang:
Aggregating From Multiple Target-Shifted Sources. CoRR abs/2105.04051 (2021) - [i34]Changjian Shui, Boyu Wang, Christian Gagné:
On the benefits of representation regularization in invariance based domain generalization. CoRR abs/2105.14529 (2021) - [i33]Mohamed Abderrahmen Abid, Ihsen Hedhli, Jean-François Lalonde, Christian Gagné:
Image-to-Image Translation with Low Resolution Conditioning. CoRR abs/2107.11262 (2021) - 2020
- [j19]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:
The Surprising Creativity of Digital Evolution: A Collection of Anecdotes from the Evolutionary Computation and Artificial Life Research Communities. Artif. Life 26(2): 274-306 (2020) - [c54]Mahdieh Abbasi, Arezoo Rajabi, Christian Gagné, Rakesh B. Bobba:
Toward Adversarial Robustness by Diversity in an Ensemble of Specialized Deep Neural Networks. Canadian AI 2020: 1-14 - [c53]Changjian Shui, Fan Zhou, Christian Gagné, Boyu Wang:
Deep Active Learning: Unified and Principled Method for Query and Training. AISTATS 2020: 1308-1318 - [c52]Mahdieh Abbasi, Changjian Shui, Arezoo Rajabi, Christian Gagné, Rakesh B. Bobba:
Toward Metrics for Differentiating Out-of-Distribution Sets. ECAI 2020: 929-936 - [c51]Arman Afrasiyabi, Jean-François Lalonde, Christian Gagné:
Associative Alignment for Few-Shot Image Classification. ECCV (5) 2020: 18-35 - [c50]Sébastien de Blois, Mathieu Garon, Christian Gagné, Jean-François Lalonde:
Input Dropout for Spatially Aligned Modalities. ICIP 2020: 733-737 - [c49]Bénédicte Chatelais, Daniel Lafond, Alexandre Hains, Christian Gagné:
Improving Policy-Capturing with Active Learning for Real-Time Decision Support. IHSI 2020: 177-182 - [i32]Sébastien de Blois, Mathieu Garon, Christian Gagné, Jean-François Lalonde:
Input Dropout for Spatially Aligned Modalities. CoRR abs/2002.02852 (2020) - [i31]Mahdieh Abbasi, Arezoo Rajabi, Christian Gagné, Rakesh B. Bobba:
Toward Adversarial Robustness by Diversity in an Ensemble of Specialized Deep Neural Networks. CoRR abs/2005.08321 (2020) - [i30]Mahdieh Abbasi, Denis Laurendeau, Christian Gagné:
Self-supervised Robust Object Detectors from Partially Labelled datasets. CoRR abs/2005.11549 (2020) - [i29]Changjian Shui, Qi Chen, Jun Wen, Fan Zhou, Christian Gagné, Boyu Wang:
Beyond H-Divergence: Domain Adaptation Theory With Jensen-Shannon Divergence. CoRR abs/2007.15567 (2020) - [i28]Arman Afrasiyabi, Jean-François Lalonde, Christian Gagné:
Persistent Mixture Model Networks for Few-Shot Image Classification. CoRR abs/2011.11872 (2020)
2010 – 2019
- 2019
- [j18]Karol Lina López Bedoya, Christian Gagné, Marc-André Gardner:
Demand-Side Management Using Deep Learning for Smart Charging of Electric Vehicles. IEEE Trans. Smart Grid 10(3): 2683-2691 (2019) - [c48]Sébastien de Blois, Ihsen Hedhli, Christian Gagné:
Learning of Image Dehazing Models for Segmentation Tasks. EUSIPCO 2019: 1-5 - [c47]Marc-André Gardner, Yannick Hold-Geoffroy, Kalyan Sunkavalli, Christian Gagné, Jean-François Lalonde:
Deep Parametric Indoor Lighting Estimation. ICCV 2019: 7174-7182 - [c46]Changjian Shui, Mahdieh Abbasi, Louis-Émile Robitaille, Boyu Wang, Christian Gagné:
A Principled Approach for Learning Task Similarity in Multitask Learning. IJCAI 2019: 3446-3452 - [i27]Sébastien de Blois, Ihsen Hedhli, Christian Gagné:
Learning of Image Dehazing Models for Segmentation Tasks. CoRR abs/1903.01530 (2019) - [i26]Changjian Shui, Mahdieh Abbasi, Louis-Émile Robitaille, Boyu Wang, Christian Gagné:
A Principled Approach for Learning Task Similarity in Multitask Learning. CoRR abs/1903.09109 (2019) - [i25]Azadeh Sadat Mozafari, Hugo Siqueira Gomes, Wilson Leão, Christian Gagné:
Unsupervised Temperature Scaling: Post-Processing Unsupervised Calibration of Deep Models Decisions. CoRR abs/1905.00174 (2019) - [i24]Mahdieh Abbasi, Changjian Shui, Arezoo Rajabi, Christian Gagné, Rakesh Bobba:
Toward Metrics for Differentiating Out-of-Distribution Sets. CoRR abs/1910.08650 (2019) - [i23]Marc-André Gardner, Yannick Hold-Geoffroy, Kalyan Sunkavalli, Christian Gagné, Jean-François Lalonde:
Deep Parametric Indoor Lighting Estimation. CoRR abs/1910.08812 (2019) - [i22]Changjian Shui, Fan Zhou, Christian Gagné, Boyu Wang:
Deep Active Learning: Unified and Principled Method for Query and Training. CoRR abs/1911.09162 (2019) - [i21]Azadeh Sadat Mozafari, Hugo Siqueira Gomes, Christian Gagné:
A Novel Unsupervised Post-Processing Calibration Method for DNNS with Robustness to Domain Shift. CoRR abs/1911.11195 (2019) - [i20]Arman Afrasiyabi, Jean-François Lalonde, Christian Gagné:
Associative Alignment for Few-shot Image Classification. CoRR abs/1912.05094 (2019) - 2018
- [j17]Ahmed Najjar, Daniel Reinharz, Catherine Girouard, Christian Gagné:
A two-step approach for mining patient treatment pathways in administrative healthcare databases. Artif. Intell. Medicine 87: 34-48 (2018) - [c45]Louis-Émile Robitaille, Audrey Durand, Marc-André Gardner, Christian Gagné, Paul De Koninck, Flavie Lavoie-Cardinal:
Learning to Become an Expert: Deep Networks Applied to Super-Resolution Microscopy. AAAI 2018: 7805-7810 - [c44]Louis-Émile Robitaille, Audrey Durand, Marc-André Gardner, Christian Gagné, Paul De Koninck, Flavie Lavoie-Cardinal:
Rating Super-Resolution Microscopy Images With Deep Learning. AAAI 2018: 8141-8142 - [c43]Karol Lina López Bedoya, Christian Gagné:
Optimal Scheduling for Smart Charging of Electric Vehicles Using Dynamic Programming. Canadian AI 2018: 279-284 - [i19]Mahdieh Abbasi, Christian Gagné:
Out-distribution training confers robustness to deep neural networks. CoRR abs/1802.07124 (2018) - [i18]Changjian Shui, Azadeh Sadat Mozafari, Jonathan Marek, Ihsen Hedhli, Christian Gagné:
Diversity regularization in deep ensembles. CoRR abs/1802.07881 (2018) - [i17]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:
The Surprising Creativity of Digital Evolution: A Collection of Anecdotes from the Evolutionary Computation and Artificial Life Research Communities. CoRR abs/1803.03453 (2018) - [i16]Louis-Émile Robitaille, Audrey Durand, Marc-André Gardner, Christian Gagné, Paul De Koninck, Flavie Lavoie-Cardinal:
Learning to Become an Expert: Deep Networks Applied To Super-Resolution Microscopy. CoRR abs/1803.10806 (2018) - [i15]Arezoo Rajabi, Mahdieh Abbasi, Christian Gagné, Rakesh B. Bobba:
Towards Dependable Deep Convolutional Neural Networks (CNNs) with Out-distribution Learning. CoRR abs/1804.08794 (2018) - [i14]Alejandro Cervantes, Christian Gagné, Pedro Isasi, Marc Parizeau:
Evaluating and Characterizing Incremental Learning from Non-Stationary Data. CoRR abs/1806.06610 (2018) - [i13]Mahdieh Abbasi, Arezoo Rajabi, Azadeh Sadat Mozafari, Rakesh B. Bobba, Christian Gagné:
Controlling Over-generalization and its Effect on Adversarial Examples Generation and Detection. CoRR abs/1808.08282 (2018) - [i12]Changjian Shui, Ihsen Hedhli, Christian Gagné:
Accumulating Knowledge for Lifelong Online Learning. CoRR abs/1810.11479 (2018) - [i11]Azadeh Sadat Mozafari, Hugo Siqueira Gomes, Steeven Janny, Christian Gagné:
A New Loss Function for Temperature Scaling to have Better Calibrated Deep Networks. CoRR abs/1810.11586 (2018) - 2017
- [j16]Marc-André Gardner, Kalyan Sunkavalli, Ersin Yumer, Xiaohui Shen, Emiliano Gambaretto, Christian Gagné, Jean-François Lalonde:
Learning to predict indoor illumination from a single image. ACM Trans. Graph. 36(6): 176:1-176:14 (2017) - [c42]Mahdieh Abbasi, Christian Gagné:
Robustness to Adversarial Examples through an Ensemble of Specialists. ICLR (Workshop) 2017 - [c41]Julien-Charles Levesque, Audrey Durand, Christian Gagné, Robert Sabourin:
Bayesian optimization for conditional hyperparameter spaces. IJCNN 2017: 286-293 - [i10]Audrey Durand, Christian Gagné:
Estimating Quality in User-Guided Multi-Objective Bandits Optimization. CoRR abs/1701.01095 (2017) - [i9]Mahdieh Abbasi, Christian Gagné:
Robustness to Adversarial Examples through an Ensemble of Specialists. CoRR abs/1702.06856 (2017) - [i8]Marc-André Gardner, Kalyan Sunkavalli, Ersin Yumer, Xiaohui Shen, Emiliano Gambaretto, Christian Gagné, Jean-François Lalonde:
Learning to Predict Indoor Illumination from a Single Image. CoRR abs/1704.00090 (2017) - [i7]Audrey Durand, Jean-Alexandre Beaumont, Christian Gagné, Michel Lemay, Sébastien Paquet:
Query Completion Using Bandits for Engines Aggregation. CoRR abs/1709.04095 (2017) - 2016
- [j15]Farkhondeh Kiaee, Christian Gagné, Hamid Sheikhzadeh:
A double-layer ELM with added feature selection ability using a sparse Bayesian approach. Neurocomputing 216: 371-380 (2016) - [c40]Sophie Baillargeon, Simon Hallé, Christian Gagné:
Stream clustering of tweets. ASONAM 2016: 1256-1261 - [c39]Vahab Akbarzadeh, Christian Gagné, Marc Parizeau:
Sensor control for temporal coverage optimization. CEC 2016: 4468-4475 - [c38]Julien-Charles Levesque, Christian Gagné, Robert Sabourin:
Bayesian Hyperparameter Optimization for Ensemble Learning. UAI 2016 - [i6]Julien-Charles Levesque, Christian Gagné, Robert Sabourin:
Bayesian Hyperparameter Optimization for Ensemble Learning. CoRR abs/1605.06394 (2016) - [i5]Farkhondeh Kiaee, Christian Gagné, Mahdieh Abbasi:
Alternating Direction Method of Multipliers for Sparse Convolutional Neural Networks. CoRR abs/1611.01590 (2016) - 2015
- [j14]Marc-André Gardner, Christian Gagné, Marc Parizeau:
Controlling code growth by dynamically shaping the genotype size distribution. Genet. Program. Evolvable Mach. 16(4): 455-498 (2015) - [j13]Karol Lina López Bedoya, Christian Gagné, Germán Castellanos-Domínguez, Mauricio Orozco-Alzate:
Training subset selection in Hourly Ontario Energy Price forecasting using time series clustering-based stratification. Neurocomputing 156: 268-279 (2015) - [j12]Meysam Argany, Mir Abolfazl Mostafavi, Christian Gagné:
Context-Aware Local Optimization of Sensor Network Deployment. J. Sens. Actuator Networks 4(3): 160-188 (2015) - [c37]Mahdieh Abbasi, Hamid R. Rabiee, Christian Gagné:
Monocular 3D Human Pose Estimation with a Semi-supervised Graph-Based Method. 3DV 2015: 518-526 - [c36]Zahra Toony, Denis Laurendeau, Christian Gagné:
PGP2X: Principal Geometric Primitives Parameters Extraction. GRAPP 2015: 81-93 - [c35]Ahmed Najjar, Christian Gagné, Daniel Reinharz:
Two-Step Heterogeneous Finite Mixture Model Clustering for Mining Healthcare Databases. ICDM 2015: 931-936 - [c34]François-Michel De Rainville, Jean-Philippe Mercier, Christian Gagné, Philippe Giguère, Denis Laurendeau:
Multisensor placement in 3D environments via visibility estimation and derivative-free optimization. ICRA 2015: 3327-3334 - [c33]Vahab Akbarzadeh, Christian Gagné, Marc Parizeau:
Kernel density estimation for target trajectory prediction. IROS 2015: 3449-3456 - 2014
- [j11]Vahab Akbarzadeh, Julien-Charles Levesque, Christian Gagné, Marc Parizeau:
Efficient Sensor Placement Optimization Using Gradient Descent and Probabilistic Coverage. Sensors 14(8): 15525-15552 (2014) - [c32]Ahmed Najjar, Christian Gagné, Daniel Reinharz:
A novel mixed values k-prototypes algorithm with application to health care databases mining. CICARE 2014: 159-166 - [c31]Zahra Toony, Denis Laurendeau, Philippe Giguère, Christian Gagné:
3D-NCuts: Adapting Normalized Cuts to 3D Triangulated Surface Segmentation. GRAPP 2014: 144-152 - 2013
- [j10]Vahab Akbarzadeh, Christian Gagné, Marc Parizeau, Meysam Argany, Mir Abolfazl Mostafavi:
Probabilistic Sensing Model for Sensor Placement Optimization Based on Line-of-Sight Coverage. IEEE Trans. Instrum. Meas. 62(2): 293-303 (2013) - [c30]Zahra Toony, Denis Laurendeau, Philippe Giguère, Christian Gagné:
3D-PIC: Power Iteration Clustering for segmenting three-dimensional models. 3DTV-Conference 2013: 1-4 - [c29]Yannick Hold-Geoffroy, Marc-André Gardner, Christian Gagné, Maxime Latulippe, Philippe Giguère:
ros4mat: A Matlab Programming Interface for Remote Operations of ROS-Based Robotic Devices in an Educational Context. CRV 2013: 242-248 - [c28]Vahab Akbarzadeh, Christian Gagné, Marc Parizeau:
Target Trajectory Prediction in PTZ Camera Networks. CVPR Workshops 2013: 816-822 - [c27]Julien-Charles Levesque, Louis-Philippe Morency, Christian Gagné:
Sequential emotion recognition using Latent-Dynamic Conditional Neural Fields. FG 2013: 1-6 - [c26]Marc-André Gardner, Christian Gagné, Marc Parizeau:
Estimation of distribution algorithm based on hidden Markov models for combinatorial optimization. GECCO (Companion) 2013: 53-54 - [c25]Christian Gagné:
Evolutionary computation for supervised learning. GECCO (Companion) 2013: 827-844 - [c24]Darwin Brochero, Christian Gagné, François Anctil:
Evolutionary multiobjective optimization for selecting members of an ensemble streamflow forecasting model. GECCO 2013: 1221-1228 - [c23]François-Michel De Rainville, Michèle Sebag, Christian Gagné, Marc Schoenauer, Denis Laurendeau:
Sustainable cooperative coevolution with a multi-armed bandit. GECCO 2013: 1517-1524 - [c22]Marc-André Gardner, Christian Gagné, Marc Parizeau:
Combinatorial optimization EDA using hidden Markov models. GECCO (Companion) 2013: 1667-1670 - [i4]François-Michel De Rainville, Michèle Sebag, Christian Gagné, Marc Schoenauer, Denis Laurendeau:
Sustainable Cooperative Coevolution with a Multi-Armed Bandit. CoRR abs/1304.3138 (2013) - 2012
- [j9]Félix-Antoine Fortin, François-Michel De Rainville, Marc-André Gardner, Marc Parizeau, Christian Gagné:
DEAP: evolutionary algorithms made easy. J. Mach. Learn. Res. 13: 2171-2175 (2012) - [j8]François-Michel De Rainville, Christian Gagné, Olivier Teytaud, Denis Laurendeau:
Evolutionary optimization of low-discrepancy sequences. ACM Trans. Model. Comput. Simul. 22(2): 9:1-9:25 (2012) - [j7]Audrey Durand, Christian Gagné, Léon Nshimyumukiza, Mathieu Gagnon, François Rousseau, Yves Giguère, Daniel Reinharz:
Population-Based Simulation for Public Health: Generic Software Infrastructure and Its Application to Osteoporosis. IEEE Trans. Syst. Man Cybern. Part A 42(6): 1396-1409 (2012) - [c21]François-Michel De Rainville, Félix-Antoine Fortin, Marc-André Gardner, Marc Parizeau, Christian Gagné:
DEAP: a python framework for evolutionary algorithms. GECCO (Companion) 2012: 85-92 - [c20]Julien-Charles Levesque, Audrey Durand, Christian Gagné, Robert Sabourin:
Multi-objective evolutionary optimization for generating ensembles of classifiers in the ROC space. GECCO 2012: 879-886 - [c19]François-Michel De Rainville, Christian Gagné, Denis Laurendeau:
Co-adapting mobile sensor networks to maximize coverage in dynamic environments. GECCO (Companion) 2012: 1409-1410 - 2011
- [j6]Meysam Argany, Mir Abolfazl Mostafavi, Farid Karimipour, Christian Gagné:
A GIS Based Wireless Sensor Network Coverage Estimation and Optimization: A Voronoi Approach. Trans. Comput. Sci. 14: 151-172 (2011) - [c18]Marc-André Gardner, Christian Gagné, Marc Parizeau:
Bloat control in genetic programming with a histogram-based accept-reject method. GECCO (Companion) 2011: 187-188 - [c17]Vahab Akbarzadeh, Christian Gagné, Marc Parizeau, Mir Abolfazl Mostafavi:
Black-box optimization of sensor placement with elevation maps and probabilistic sensing models. ROSE 2011: 89-94 - 2010
- [c16]Vahab Akbarzadeh, Albert Hung-Ren Ko, Christian Gagné, Marc Parizeau:
Topography-Aware Sensor Deployment Optimization with CMA-ES. PPSN (2) 2010: 141-150 - [c15]Audrey Durand, Christian Gagné, Marc-André Gardner, François Rousseau, Yves Giguère, Daniel Reinharz:
SCHNAPS: a generic population-based simulator for public health purposes. SummerSim 2010: 182-189
2000 – 2009
- 2009
- [c14]Nur Merve Amil, Nicolas Bredèche, Christian Gagné, Sylvain Gelly, Marc Schoenauer, Olivier Teytaud:
A Statistical Learning Perspective of Genetic Programming. EuroGP 2009: 327-338 - [c13]Jean Berger, Jens Happe, Christian Gagné, Martin Lau:
Co-evolutionary information gathering for a cooperative unmanned aerial vehicle team. FUSION 2009: 347-354 - [c12]Juan Luis Jiménez Laredo, Carlos M. Fernandes, Juan Julián Merelo Guervós, Christian Gagné:
Improving genetic algorithms performance via deterministic population shrinkage. GECCO 2009: 819-826 - [c11]François-Michel De Rainville, Christian Gagné, Olivier Teytaud, Denis Laurendeau:
Optimizing low-discrepancy sequences with an evolutionary algorithm. GECCO 2009: 1491-1498 - 2008
- [j5]Christian Gagné, Julie Beaulieu, Marc Parizeau, Simon Thibault:
Human-competitive lens system design with evolution strategies. Appl. Soft Comput. 8(4): 1439-1452 (2008) - 2007
- [j4]Christian Gagné, Marc Parizeau:
Coevolution of Nearest Neighbor Classifiers. Int. J. Pattern Recognit. Artif. Intell. 21(5): 921-946 (2007) - [c10]Christian Gagné, Michèle Sebag, Marc Schoenauer, Marco Tomassini:
Ensemble learning for free with evolutionary algorithms? GECCO 2007: 1782-1789 - [i3]Christian Gagné, Michèle Sebag, Marc Schoenauer, Marco Tomassini:
Ensemble Learning for Free with Evolutionary Algorithms ? CoRR abs/0704.3905 (2007) - 2006
- [j3]Christian Gagné, Marc Parizeau:
Genericity in Evolutionary Computation Software Tools: Principles and Case-study. Int. J. Artif. Intell. Tools 15(2): 173-194 (2006) - [j2]Christian Gagné, Marc Parizeau:
Genetic engineering of hierarchical fuzzy regional representations for handwritten character recognition. Int. J. Document Anal. Recognit. 8(4): 223-231 (2006) - [j1]Marc Dubreuil, Christian Gagné, Marc Parizeau:
Analysis of a master-slave architecture for distributed evolutionary computations. IEEE Trans. Syst. Man Cybern. Part B 36(1): 229-235 (2006) - [c9]Sylvain Gelly, Olivier Teytaud, Christian Gagné:
Resource-Aware Parameterizations of EDA. IEEE Congress on Evolutionary Computation 2006: 2506-2512 - [c8]Christian Gagné, Marc Schoenauer, Marc Parizeau, Marco Tomassini:
Genetic Programming, Validation Sets, and Parsimony Pressure. EuroGP 2006: 109-120 - [c7]Christian Gagné, Marc Schoenauer, Michèle Sebag, Marco Tomassini:
Genetic Programming for Kernel-Based Learning with Co-evolving Subsets Selection. PPSN 2006: 1008-1017 - [i2]Christian Gagné, Marc Schoenauer, Marc Parizeau, Marco Tomassini:
Genetic Programming, Validation Sets, and Parsimony Pressure. CoRR abs/cs/0601044 (2006) - [i1]Christian Gagné, Marc Schoenauer, Michèle Sebag, Marco Tomassini:
Genetic Programming for Kernel-based Learning with Co-evolving Subsets Selection. CoRR abs/cs/0611135 (2006) - 2003
- [c6]Christian Gagné, Marc Parizeau, Marc Dubreuil:
The Master-Slave Architecture for Evolutionary Computations Revisited. GECCO 2003: 1578-1579 - 2002
- [c5]Julie Beaulieu, Christian Gagné, Marc Parizeau:
Lens System Design And Re-engineering With Evolutionary Algorithms. GECCO 2002: 155-162 - [c4]Christian Gagné, Marc Parizeau:
Open BEAGLE: A New Versatile C++ Framework for Evolutionary Computation. GECCO Late Breaking Papers 2002: 161-168 - [c3]Christian Gagné, Marc Parizeau:
Open BEAGLE: A New C++ Evolutionary Computation Framework. GECCO 2002: 888 - [c2]Alexandre Lemieux, Christian Gagné, Marc Parizeau:
Genetic engineering of handwriting representations. IWFHR 2002: 145-150 - 2001
- [c1]Marc Parizeau, Alexandre Lemieux, Christian Gagné:
Character Recognition Experiments Using Unipen Data. ICDAR 2001: 481-485
Coauthor Index
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