Christian Gagné

According to our database1, Christian Gagné authored at least 97 papers between 2001 and 2021.

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2021
Task Similarity Estimation Through Adversarial Multitask Neural Network.
IEEE Trans. Neural Networks Learn. Syst., 2021

Exploring polypharmacy with artificial intelligence: data analysis protocol.
BMC Medical Informatics Decis. Mak., 2021

Image-to-Image Translation with Low Resolution Conditioning.
CoRR, 2021

On the benefits of representation regularization in invariance based domain generalization.
CoRR, 2021

Meta Learning Black-Box Population-Based Optimizers.
CoRR, 2021

A Generative Model for Hallucinating Diverse Versions of Super Resolution Images.
CoRR, 2021

Aggregating From Multiple Target-Shifted Sources.
Proceedings of the 38th International Conference on Machine Learning, 2021

2020
Persistent Mixture Model Networks for Few-Shot Image Classification.
CoRR, 2020

Beyond H-Divergence: Domain Adaptation Theory With Jensen-Shannon Divergence.
CoRR, 2020

Self-supervised Robust Object Detectors from Partially Labelled datasets.
CoRR, 2020

The Surprising Creativity of Digital Evolution: A Collection of Anecdotes from the Evolutionary Computation and Artificial Life Research Communities.
Artif. Life, 2020

Improving Policy-Capturing with Active Learning for Real-Time Decision Support.
Proceedings of the Intelligent Human Systems Integration 2020, 2020

Input Dropout for Spatially Aligned Modalities.
Proceedings of the IEEE International Conference on Image Processing, 2020

Associative Alignment for Few-Shot Image Classification.
Proceedings of the Computer Vision - ECCV 2020, 2020

Toward Metrics for Differentiating Out-of-Distribution Sets.
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.
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.
Proceedings of the Advances in Artificial Intelligence, 2020

2019
Demand-Side Management Using Deep Learning for Smart Charging of Electric Vehicles.
IEEE Trans. Smart Grid, 2019

A Novel Unsupervised Post-Processing Calibration Method for DNNS with Robustness to Domain Shift.
CoRR, 2019

Unsupervised Temperature Scaling: Post-Processing Unsupervised Calibration of Deep Models Decisions.
CoRR, 2019

A Principled Approach for Learning Task Similarity in Multitask Learning.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Deep Parametric Indoor Lighting Estimation.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Learning of Image Dehazing Models for Segmentation Tasks.
Proceedings of the 27th European Signal Processing Conference, 2019

2018
A New Loss Function for Temperature Scaling to have Better Calibrated Deep Networks.
CoRR, 2018

Accumulating Knowledge for Lifelong Online Learning.
CoRR, 2018

Controlling Over-generalization and its Effect on Adversarial Examples Generation and Detection.
CoRR, 2018

Evaluating and Characterizing Incremental Learning from Non-Stationary Data.
CoRR, 2018

Towards Dependable Deep Convolutional Neural Networks (CNNs) with Out-distribution Learning.
CoRR, 2018

The Surprising Creativity of Digital Evolution: A Collection of Anecdotes from the Evolutionary Computation and Artificial Life Research Communities.
CoRR, 2018

Diversity regularization in deep ensembles.
CoRR, 2018

Out-distribution training confers robustness to deep neural networks.
CoRR, 2018

A two-step approach for mining patient treatment pathways in administrative healthcare databases.
Artif. Intell. Medicine, 2018

Optimal Scheduling for Smart Charging of Electric Vehicles Using Dynamic Programming.
Proceedings of the Advances in Artificial Intelligence, 2018

Rating Super-Resolution Microscopy Images With Deep Learning.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Learning to Become an Expert: Deep Networks Applied to Super-Resolution Microscopy.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Learning to predict indoor illumination from a single image.
ACM Trans. Graph., 2017

Query Completion Using Bandits for Engines Aggregation.
CoRR, 2017

Estimating Quality in User-Guided Multi-Objective Bandits Optimization.
CoRR, 2017

Bayesian optimization for conditional hyperparameter spaces.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Robustness to Adversarial Examples through an Ensemble of Specialists.
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.
Neurocomputing, 2016

Alternating Direction Method of Multipliers for Sparse Convolutional Neural Networks.
CoRR, 2016

Bayesian Hyperparameter Optimization for Ensemble Learning.
Proceedings of the Thirty-Second Conference on Uncertainty in Artificial Intelligence, 2016

Sensor control for temporal coverage optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Stream clustering of tweets.
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.
J. Sens. Actuator Networks, 2015

Training subset selection in Hourly Ontario Energy Price forecasting using time series clustering-based stratification.
Neurocomputing, 2015

Controlling code growth by dynamically shaping the genotype size distribution.
Genet. Program. Evolvable Mach., 2015

Kernel density estimation for target trajectory prediction.
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.
Proceedings of the IEEE International Conference on Robotics and Automation, 2015

Two-Step Heterogeneous Finite Mixture Model Clustering for Mining Healthcare Databases.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

PGP2X: Principal Geometric Primitives Parameters Extraction.
Proceedings of the GRAPP 2015, 2015

Monocular 3D Human Pose Estimation with a Semi-supervised Graph-Based Method.
Proceedings of the 2015 International Conference on 3D Vision, 2015

2014
Efficient Sensor Placement Optimization Using Gradient Descent and Probabilistic Coverage.
Sensors, 2014

3D-NCuts: Adapting Normalized Cuts to 3D Triangulated Surface Segmentation.
Proceedings of the GRAPP 2014, 2014

A novel mixed values k-prototypes algorithm with application to health care databases mining.
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.
IEEE Trans. Instrum. Meas., 2013

Sustainable cooperative coevolution with a multi-armed bandit.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013

Combinatorial optimization EDA using hidden Markov models.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013

Estimation of distribution algorithm based on hidden Markov models for combinatorial optimization.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013

Evolutionary computation for supervised learning.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013

Evolutionary multiobjective optimization for selecting members of an ensemble streamflow forecasting model.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013

Sequential emotion recognition using Latent-Dynamic Conditional Neural Fields.
Proceedings of the 10th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition, 2013

Target Trajectory Prediction in PTZ Camera Networks.
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.
Proceedings of the Tenth Conference on Computer and Robot Vision, 2013

3D-PIC: Power Iteration Clustering for segmenting three-dimensional models.
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.
IEEE Trans. Syst. Man Cybern. Part A, 2012

Evolutionary optimization of low-discrepancy sequences.
ACM Trans. Model. Comput. Simul., 2012

DEAP: evolutionary algorithms made easy.
J. Mach. Learn. Res., 2012

Co-adapting mobile sensor networks to maximize coverage in dynamic environments.
Proceedings of the Genetic and Evolutionary Computation Conference, 2012

DEAP: a python framework for evolutionary algorithms.
Proceedings of the Genetic and Evolutionary Computation Conference, 2012

Multi-objective evolutionary optimization for generating ensembles of classifiers in the ROC space.
Proceedings of the Genetic and Evolutionary Computation Conference, 2012

2011
A GIS Based Wireless Sensor Network Coverage Estimation and Optimization: A Voronoi Approach.
Trans. Comput. Sci., 2011

Black-box optimization of sensor placement with elevation maps and probabilistic sensing models.
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.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

2010
SCHNAPS: a generic population-based simulator for public health purposes.
Proceedings of the SummerSim '10, 2010

Topography-Aware Sensor Deployment Optimization with CMA-ES.
Proceedings of the Parallel Problem Solving from Nature, 2010

2009
A non-parametric iterative smoothing method for benchmarking and temporal distribution.
Comput. Stat. Data Anal., 2009

Optimizing low-discrepancy sequences with an evolutionary algorithm.
Proceedings of the Genetic and Evolutionary Computation Conference, 2009

Improving genetic algorithms performance via deterministic population shrinkage.
Proceedings of the Genetic and Evolutionary Computation Conference, 2009

Co-evolutionary information gathering for a cooperative unmanned aerial vehicle team.
Proceedings of the 12th International Conference on Information Fusion, 2009

A Statistical Learning Perspective of Genetic Programming.
Proceedings of the Genetic Programming, 12th European Conference, 2009

2008
Human-competitive lens system design with evolution strategies.
Appl. Soft Comput., 2008

2007
Coevolution of Nearest Neighbor Classifiers.
Int. J. Pattern Recognit. Artif. Intell., 2007

Ensemble learning for free with evolutionary algorithms?
Proceedings of the Genetic and Evolutionary Computation Conference, 2007

2006
Analysis of a master-slave architecture for distributed evolutionary computations.
IEEE Trans. Syst. Man Cybern. Part B, 2006

Genetic engineering of hierarchical fuzzy regional representations for handwritten character recognition.
Int. J. Document Anal. Recognit., 2006

Genericity in Evolutionary Computation Software Tools: Principles and Case-study.
Int. J. Artif. Intell. Tools, 2006

Genetic Programming for Kernel-Based Learning with Co-evolving Subsets Selection.
Proceedings of the Parallel Problem Solving from Nature, 2006

Genetic Programming, Validation Sets, and Parsimony Pressure.
Proceedings of the Genetic Programming, 9th European Conference, 2006

Resource-Aware Parameterizations of EDA.
Proceedings of the IEEE International Conference on Evolutionary Computation, 2006

2003
The Master-Slave Architecture for Evolutionary Computations Revisited.
Proceedings of the Genetic and Evolutionary Computation, 2003

2002
Genetic engineering of handwriting representations.
Proceedings of the Eighth International Workshop on Frontiers in Handwriting Recognition, 2002

Open BEAGLE: A New Versatile C++ Framework for Evolutionary Computation.
Proceedings of the Late Breaking papers at the Genetic and Evolutionary Computation Conference (GECCO-2002), 2002

Open BEAGLE: A New C++ Evolutionary Computation Framework.
Proceedings of the GECCO 2002: Proceedings of the Genetic and Evolutionary Computation Conference, 2002

Lens System Design And Re-engineering With Evolutionary Algorithms.
Proceedings of the GECCO 2002: Proceedings of the Genetic and Evolutionary Computation Conference, 2002

2001
Character Recognition Experiments Using Unipen Data.
Proceedings of the 6th International Conference on Document Analysis and Recognition (ICDAR 2001), 2001


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