Christian Gagné

CoRR, 2024

Generalizing across Temporal Domains with Koopman Operators.

[BibT_eX]

[DOI]

CoRR, 2024

Generalizing across Temporal Domains with Koopman Operators.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Denoising autoencoder genetic programming: strategies to control exploration and exploitation in search.

[BibT_eX]

[DOI]

David Wittenberg

Franz Rothlauf

Genet. Program. Evolvable Mach., December, 2023

Towards More General Loss and Setting in Unsupervised Domain Adaptation.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., October, 2023

Resolution enhancement with a task-assisted GAN to guide optical nanoscopy image analysis and acquisition.

[BibT_eX]

[DOI]

Nat. Mac. Intell., August, 2023

Lifelong Online Learning from Accumulated Knowledge.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, May, 2023

Gap Minimization for Knowledge Sharing and Transfer.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2023

Filtering Pixel Latent Variables for Unmixing Volumetric Images.

[BibT_eX]

[DOI]

Catherine Bouchard

Vincent Boulanger

CoRR, 2023

Hessian Aware Low-Rank Weight Perturbation for Continual Learning.

[BibT_eX]

[DOI]

CoRR, 2023

Domain Agnostic Image-to-image Translation using Low-Resolution Conditioning.

[BibT_eX]

[DOI]

Mohamed Abderrahmen Abid

CoRR, 2023

Improved Robustness Against Adaptive Attacks With Ensembles and Error-Correcting Output Codes.

[BibT_eX]

[DOI]

Thomas Philippon

CoRR, 2023

2022

On the benefits of representation regularization in invariance based domain generalization.

[BibT_eX]

[DOI]

Boyu Wang

Mach. Learn., 2022

A novel domain adaptation theory with Jensen-Shannon divergence.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2022

Evolving Domain Generalization.

[BibT_eX]

[DOI]

CoRR, 2022

Gap Minimization for Knowledge Sharing and Transfer.

[BibT_eX]

[DOI]

CoRR, 2022

On Learning Fairness and Accuracy on Multiple Subgroups.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Fair Representation Learning through Implicit Path Alignment.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

Matching Feature Sets for Few-Shot Image Classification.

[BibT_eX]

[DOI]

Hugo Larochelle

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Task Similarity Estimation Through Adversarial Multitask Neural Network.

[BibT_eX]

[DOI]

Fan Zhou

Boyu Wang

IEEE Trans. Neural Networks Learn. Syst., 2021

Exploring polypharmacy with artificial intelligence: data analysis protocol.

[BibT_eX]

[DOI]

BMC Medical Informatics Decis. Mak., 2021

Image-to-Image Translation with Low Resolution Conditioning.

[BibT_eX]

[DOI]

Mohamed Abderrahmen Abid

CoRR, 2021

Meta Learning Black-Box Population-Based Optimizers.

[BibT_eX]

[DOI]

Benjamin Léger

CoRR, 2021

A Generative Model for Hallucinating Diverse Versions of Super Resolution Images.

[BibT_eX]

[DOI]

Mohamed Abderrahmen Abid

CoRR, 2021

Active Learning for Capturing Human Decision Policies in a Data Frugal Context.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning, Optimization, and Data Science, 2021

Aggregating From Multiple Target-Shifted Sources.

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

Mixture-based Feature Space Learning for Few-shot Image Classification.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Persistent Mixture Model Networks for Few-Shot Image Classification.

[BibT_eX]

[DOI]

CoRR, 2020

Beyond H-Divergence: Domain Adaptation Theory With Jensen-Shannon Divergence.

[BibT_eX]

[DOI]

CoRR, 2020

Self-supervised Robust Object Detectors from Partially Labelled datasets.

[BibT_eX]

[DOI]

CoRR, 2020

The Surprising Creativity of Digital Evolution: A Collection of Anecdotes from the Evolutionary Computation and Artificial Life Research Communities.

[BibT_eX]

[DOI]

Artif. Life, 2020

Improving Policy-Capturing with Active Learning for Real-Time Decision Support.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Human Systems Integration 2020, 2020

Input Dropout for Spatially Aligned Modalities.

[BibT_eX]

[DOI]

Sébastien de Blois

Mathieu Garon

Proceedings of the IEEE International Conference on Image Processing, 2020

Associative Alignment for Few-Shot Image Classification.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

Toward Metrics for Differentiating Out-of-Distribution Sets.

[BibT_eX]

[DOI]

Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

Deep Active Learning: Unified and Principled Method for Query and Training.

[BibT_eX]

[DOI]

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

Toward Adversarial Robustness by Diversity in an Ensemble of Specialized Deep Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Artificial Intelligence, 2020

2019

Demand-Side Management Using Deep Learning for Smart Charging of Electric Vehicles.

[BibT_eX]

[DOI]

Karol Lina López Bedoya

IEEE Trans. Smart Grid, 2019

A Novel Unsupervised Post-Processing Calibration Method for DNNS with Robustness to Domain Shift.

[BibT_eX]

[DOI]

CoRR, 2019

Unsupervised Temperature Scaling: Post-Processing Unsupervised Calibration of Deep Models Decisions.

[BibT_eX]

[DOI]

Wilson Leão

CoRR, 2019

A Principled Approach for Learning Task Similarity in Multitask Learning.

[BibT_eX]

[DOI]

Boyu Wang

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Deep Parametric Indoor Lighting Estimation.

[BibT_eX]

[DOI]

Yannick Hold-Geoffroy

Kalyan Sunkavalli

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Learning of Image Dehazing Models for Segmentation Tasks.

[BibT_eX]

[DOI]

Sébastien de Blois

Proceedings of the 27th European Signal Processing Conference, 2019

2018

A New Loss Function for Temperature Scaling to have Better Calibrated Deep Networks.

[BibT_eX]

[DOI]

Steeven Janny

CoRR, 2018

Accumulating Knowledge for Lifelong Online Learning.

[BibT_eX]

[DOI]

CoRR, 2018

Controlling Over-generalization and its Effect on Adversarial Examples Generation and Detection.

[BibT_eX]

[DOI]

Arezoo Rajabi

Rakesh B. Bobba

CoRR, 2018

Evaluating and Characterizing Incremental Learning from Non-Stationary Data.

[BibT_eX]

[DOI]

CoRR, 2018

Towards Dependable Deep Convolutional Neural Networks (CNNs) with Out-distribution Learning.

[BibT_eX]

[DOI]

CoRR, 2018

Diversity regularization in deep ensembles.

[BibT_eX]

[DOI]

Jonathan Marek

CoRR, 2018

Out-distribution training confers robustness to deep neural networks.

[BibT_eX]

[DOI]

CoRR, 2018

A two-step approach for mining patient treatment pathways in administrative healthcare databases.

[BibT_eX]

[DOI]

Artif. Intell. Medicine, 2018

Optimal Scheduling for Smart Charging of Electric Vehicles Using Dynamic Programming.

[BibT_eX]

[DOI]

Karol Lina López Bedoya

Proceedings of the Advances in Artificial Intelligence, 2018

Rating Super-Resolution Microscopy Images With Deep Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Learning to Become an Expert: Deep Networks Applied to Super-Resolution Microscopy.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Learning to predict indoor illumination from a single image.

[BibT_eX]

[DOI]

ACM Trans. Graph., 2017

Query Completion Using Bandits for Engines Aggregation.

[BibT_eX]

[DOI]

Jean-Alexandre Beaumont

Michel Lemay

Sébastien Paquet

CoRR, 2017

Estimating Quality in User-Guided Multi-Objective Bandits Optimization.

[BibT_eX]

[DOI]

CoRR, 2017

Bayesian optimization for conditional hyperparameter spaces.

[BibT_eX]

[DOI]

Robert Sabourin

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Robustness to Adversarial Examples through an Ensemble of Specialists.

[BibT_eX]

[DOI]

Proceedings of the 5th International Conference on Learning Representations, 2017

2016

A double-layer ELM with added feature selection ability using a sparse Bayesian approach.

[BibT_eX]

[DOI]

Farkhondeh Kiaee

Hamid Sheikhzadeh

Neurocomputing, 2016

Alternating Direction Method of Multipliers for Sparse Convolutional Neural Networks.

[BibT_eX]

[DOI]

Farkhondeh Kiaee

CoRR, 2016

Bayesian Hyperparameter Optimization for Ensemble Learning.

[BibT_eX]

[DOI]

Robert Sabourin

Proceedings of the Thirty-Second Conference on Uncertainty in Artificial Intelligence, 2016

Sensor control for temporal coverage optimization.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Stream clustering of tweets.

[BibT_eX]

[DOI]

Sophie Baillargeon

Simon Hallé

Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2016

2015

Context-Aware Local Optimization of Sensor Network Deployment.

[BibT_eX]

[DOI]

Meysam Argany

J. Sens. Actuator Networks, 2015

Training subset selection in Hourly Ontario Energy Price forecasting using time series clustering-based stratification.

[BibT_eX]

[DOI]

Karol Lina López Bedoya

Germán Castellanos-Domínguez

Mauricio Orozco-Alzate

Neurocomputing, 2015

Controlling code growth by dynamically shaping the genotype size distribution.

[BibT_eX]

[DOI]

Genet. Program. Evolvable Mach., 2015

Kernel density estimation for target trajectory prediction.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015

Multisensor placement in 3D environments via visibility estimation and derivative-free optimization.

[BibT_eX]

[DOI]

Jean-Philippe Mercier

Philippe Giguère

Proceedings of the IEEE International Conference on Robotics and Automation, 2015

Two-Step Heterogeneous Finite Mixture Model Clustering for Mining Healthcare Databases.

[BibT_eX]

[DOI]

Ahmed Najjar

Daniel Reinharz

Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

PGP2X: Principal Geometric Primitives Parameters Extraction.

[BibT_eX]

[DOI]

Zahra Toony

Proceedings of the GRAPP 2015, 2015

Monocular 3D Human Pose Estimation with a Semi-supervised Graph-Based Method.

[BibT_eX]

[DOI]

Hamid R. Rabiee

Proceedings of the 2015 International Conference on 3D Vision, 2015

2014

Efficient Sensor Placement Optimization Using Gradient Descent and Probabilistic Coverage.

[BibT_eX]

[DOI]

Sensors, 2014

3D-NCuts: Adapting Normalized Cuts to 3D Triangulated Surface Segmentation.

[BibT_eX]

[DOI]

Proceedings of the GRAPP 2014, 2014

A novel mixed values k-prototypes algorithm with application to health care databases mining.

[BibT_eX]

[DOI]

Ahmed Najjar

Daniel Reinharz

Proceedings of the 2014 IEEE Symposium on Computational Intelligence in Healthcare and e-health, 2014

2013

Probabilistic Sensing Model for Sensor Placement Optimization Based on Line-of-Sight Coverage.

[BibT_eX]

[DOI]

IEEE Trans. Instrum. Meas., 2013

Sustainable cooperative coevolution with a multi-armed bandit.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2013

Combinatorial optimization EDA using hidden Markov models.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2013

Estimation of distribution algorithm based on hidden Markov models for combinatorial optimization.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2013

Evolutionary computation for supervised learning.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2013

Evolutionary multiobjective optimization for selecting members of an ensemble streamflow forecasting model.

[BibT_eX]

[DOI]

Darwin Brochero

François Anctil

Proceedings of the Genetic and Evolutionary Computation Conference, 2013

Sequential emotion recognition using Latent-Dynamic Conditional Neural Fields.

[BibT_eX]

[DOI]

Louis-Philippe Morency

Proceedings of the 10th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition, 2013

Target Trajectory Prediction in PTZ Camera Networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2013

ros4mat: A Matlab Programming Interface for Remote Operations of ROS-Based Robotic Devices in an Educational Context.

[BibT_eX]

[DOI]

Yannick Hold-Geoffroy

Proceedings of the Tenth Conference on Computer and Robot Vision, 2013

3D-PIC: Power Iteration Clustering for segmenting three-dimensional models.

[BibT_eX]

[DOI]

Proceedings of the 3DTV-Conference 2013: The True Vision, 2013

2012

Population-Based Simulation for Public Health: Generic Software Infrastructure and Its Application to Osteoporosis.

[BibT_eX]

[DOI]

IEEE Trans. Syst. Man Cybern. Part A, 2012

Evolutionary optimization of low-discrepancy sequences.

[BibT_eX]

[DOI]

Olivier Teytaud

ACM Trans. Model. Comput. Simul., 2012

DEAP: evolutionary algorithms made easy.

[BibT_eX]

[DOI]

Félix-Antoine Fortin

J. Mach. Learn. Res., 2012

Co-adapting mobile sensor networks to maximize coverage in dynamic environments.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2012

DEAP: a python framework for evolutionary algorithms.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2012

Multi-objective evolutionary optimization for generating ensembles of classifiers in the ROC space.

[BibT_eX]

[DOI]

Robert Sabourin

Proceedings of the Genetic and Evolutionary Computation Conference, 2012

2011

A GIS Based Wireless Sensor Network Coverage Estimation and Optimization: A Voronoi Approach.

[BibT_eX]

[DOI]

Meysam Argany

Farid Karimipour

Trans. Comput. Sci., 2011

Black-box optimization of sensor placement with elevation maps and probabilistic sensing models.

[BibT_eX]

[DOI]

Proceedings of the 2011 IEEE International Symposium on Robotic and Sensors Environments, 2011

Bloat control in genetic programming with a histogram-based accept-reject method.

[BibT_eX]

[DOI]

Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

2010

SCHNAPS: a generic population-based simulator for public health purposes.

[BibT_eX]

[DOI]

Proceedings of the SummerSim '10, 2010

Topography-Aware Sensor Deployment Optimization with CMA-ES.

[BibT_eX]

[DOI]

Proceedings of the Parallel Problem Solving from Nature, 2010

2009

Optimizing low-discrepancy sequences with an evolutionary algorithm.

[BibT_eX]

[DOI]

Olivier Teytaud

Juan Julián Merelo Guervós

Proceedings of the Genetic and Evolutionary Computation Conference, 2009

Improving genetic algorithms performance via deterministic population shrinkage.

[BibT_eX]

[DOI]

Juan Luis Jiménez Laredo

Carlos M. Fernandes

Proceedings of the Genetic and Evolutionary Computation Conference, 2009

Co-evolutionary information gathering for a cooperative unmanned aerial vehicle team.

[BibT_eX]

[DOI]

Proceedings of the 12th International Conference on Information Fusion, 2009

A Statistical Learning Perspective of Genetic Programming.

[BibT_eX]

[DOI]

Proceedings of the Genetic Programming, 12th European Conference, 2009

2008

Human-competitive lens system design with evolution strategies.

[BibT_eX]

[DOI]

Appl. Soft Comput., 2008

2007

Coevolution of Nearest Neighbor Classifiers.

[BibT_eX]

[DOI]

Int. J. Pattern Recognit. Artif. Intell., 2007

Ensemble learning for free with evolutionary algorithms?

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2007

2006

Analysis of a master-slave architecture for distributed evolutionary computations.

[BibT_eX]

[DOI]

Marc Dubreuil

IEEE Trans. Syst. Man Cybern. Part B, 2006

Genetic engineering of hierarchical fuzzy regional representations for handwritten character recognition.

[BibT_eX]

[DOI]

Int. J. Document Anal. Recognit., 2006

Genericity in Evolutionary Computation Software Tools: Principles and Case-study.

[BibT_eX]

[DOI]

Int. J. Artif. Intell. Tools, 2006

Genetic Programming for Kernel-Based Learning with Co-evolving Subsets Selection.

[BibT_eX]

[DOI]

Proceedings of the Parallel Problem Solving from Nature, 2006

Genetic Programming, Validation Sets, and Parsimony Pressure.

[BibT_eX]

[DOI]

Proceedings of the Genetic Programming, 9th European Conference, 2006

Resource-Aware Parameterizations of EDA.

[BibT_eX]

[DOI]

Sylvain Gelly

Olivier Teytaud

Proceedings of the IEEE International Conference on Evolutionary Computation, 2006

2003

The Master-Slave Architecture for Evolutionary Computations Revisited.

[BibT_eX]

[DOI]

Marc Dubreuil

Proceedings of the Genetic and Evolutionary Computation, 2003

2002

Genetic engineering of handwriting representations.

[BibT_eX]

[DOI]

Alexandre Lemieux

Proceedings of the Eighth International Workshop on Frontiers in Handwriting Recognition, 2002

Open BEAGLE: A New Versatile C++ Framework for Evolutionary Computation.

[BibT_eX]

Proceedings of the Late Breaking papers at the Genetic and Evolutionary Computation Conference (GECCO-2002), 2002

Open BEAGLE: A New C++ Evolutionary Computation Framework.

[BibT_eX]

Proceedings of the GECCO 2002: Proceedings of the Genetic and Evolutionary Computation Conference, 2002

Lens System Design And Re-engineering With Evolutionary Algorithms.

[BibT_eX]

Julie Beaulieu

Proceedings of the GECCO 2002: Proceedings of the Genetic and Evolutionary Computation Conference, 2002

2001

Character Recognition Experiments Using Unipen Data.

[BibT_eX]

[DOI]

Alexandre Lemieux