Isabela Albuquerque

According to our database, Isabela Albuquerque authored at least 23 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Generative models improve fairness of medical classifiers under distribution shifts.

Ira Ktena, Olivia Wiles, Isabela Albuquerque, Sylvestre-Alvise Rebuffi, Ryutaro Tanno, Abhijit Guha Roy, Shekoofeh Azizi, Danielle Belgrave, Pushmeet Kohli, Alan Karthikesalingam, A. Taylan Cemgil, Sven Gowal

CoRR, 2023

2022

Estimating distribution shifts for predicting cross-subject generalization in electroencephalography-based mental workload assessment.

Isabela Albuquerque, João Monteiro, Olivier Rosanne, Tiago H. Falk

Frontiers Artif. Intell., 2022

Discovering Bugs in Vision Models using Off-the-shelf Image Generation and Captioning.

Olivia Wiles, Isabela Albuquerque, Sven Gowal

CoRR, 2022

2020

Improving out-of-distribution generalization via multi-task self-supervised pretraining.

Isabela Albuquerque, Nikhil Naik, Junnan Li, Nitish Shirish Keskar, Richard Socher

CoRR, 2020

An end-to-end approach for the verification problem: learning the right distance.

João Monteiro, Isabela Albuquerque, Md. Jahangir Alam, R. Devon Hjelm, Tiago H. Falk

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Multi-Scale Heart Beat Entropy Measures for Mental Workload Assessment of Ambulant Users.

Abhishek Tiwari, Isabela Albuquerque, Mark Parent, Jean-François Gagnon, Daniel Lafond, Sébastien Tremblay, Tiago H. Falk

Entropy, 2019

Adversarial target-invariant representation learning for domain generalization.

Isabela Albuquerque, João Monteiro, Tiago H. Falk, Ioannis Mitliagkas

CoRR, 2019

Learning to navigate image manifolds induced by generative adversarial networks for unsupervised video generation.

Isabela Albuquerque, João Monteiro, Tiago H. Falk

CoRR, 2019

Deep learning-based electroencephalography analysis: a systematic review.

Yannick Roy, Hubert J. Banville, Isabela Albuquerque, Alexandre Gramfort, Tiago H. Falk, Jocelyn Faubert

CoRR, 2019

Mental Workload Assessment During Physical Activity Using Non-linear Movement Artefact Robust Electroencephalography Features.

Abhishek Tiwari, Isabela Albuquerque, Jean-François Gagnon, Daniel Lafond, Mark Parent, Sébastien Tremblay, Tiago H. Falk

Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

A Multimodal Approach to Improve the Robustness of Physiological Stress Prediction During Physical Activity.

Mark Parent, Abhishek Tiwari, Isabela Albuquerque, Jean-François Gagnon, Daniel Lafond, Sébastien Tremblay, Tiago H. Falk

Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

Generalizable Adversarial Examples Detection Based on Bi-model Decision Mismatch.

João Monteiro, Isabela Albuquerque, Zahid Akhtar, Tiago H. Falk

Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

Cross-Subject Statistical Shift Estimation for Generalized Electroencephalography-based Mental Workload Assessment.

Isabela Albuquerque, João Monteiro, Olivier Rosanne, Abhishek Tiwari, Jean-François Gagnon, Tiago H. Falk

Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

Performance Comparison of Automated EEG Enhancement Algorithms for Mental Workload Assessment of Ambulant Users.

Olivier Rosanne, Isabela Albuquerque, Jean-François Gagnon, Sébastien Tremblay, Tiago H. Falk

Proceedings of the 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER), 2019

Fusion of Spectral and Spectro-Temporal EEG Features for Mental Workload Assessment Under Different Levels of Physical Activity.

Isabela Albuquerque, Olivier Rosanne, Jean-François Gagnon, Sébastien Tremblay, Tiago H. Falk

Proceedings of the 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER), 2019

Self-Supervised Representation Learning from Electroencephalography Signals.

Hubert J. Banville, Graeme Moffat, Isabela Albuquerque, Denis-Alexander Engemann, Aapo Hyvärinen, Alexandre Gramfort

Proceedings of the 29th IEEE International Workshop on Machine Learning for Signal Processing, 2019

Multi-objective training of Generative Adversarial Networks with multiple discriminators.

Isabela Albuquerque, João Monteiro, Thang Doan, Breandan Considine, Tiago H. Falk, Ioannis Mitliagkas

Proceedings of the 36th International Conference on Machine Learning, 2019

AMA: An Open-source Amplitude Modulation Analysis Toolkit for Signal Processing Applications.

Raymundo Cassani, Isabela Albuquerque, João Monteiro, Tiago H. Falk

Proceedings of the 2019 IEEE Global Conference on Signal and Information Processing, 2019

On-Line Adaptative Curriculum Learning for GANs.

Thang Doan, João Monteiro, Isabela Albuquerque, Bogdan Mazoure, Audrey Durand, Joelle Pineau, R. Devon Hjelm

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Online Adaptative Curriculum Learning for GANs.

Thang Doan, João Monteiro, Isabela Albuquerque, Bogdan Mazoure, Audrey Durand, Joelle Pineau, R. Devon Hjelm

CoRR, 2018

On the Analysis of EEG Features for Mental Workload Assessment During Physical Activity.

Isabela Albuquerque, Abhishek Tiwari, Jean-François Gagnon, Daniel Lafond, Mark Parent, Sébastien Tremblay, Tiago H. Falk

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

Multimodal Assessment of Human Innovation Perception Based on Eye Tracking, Electroencephalography and Electrocardiography.

Isabela Albuquerque, João Monteiro, Tiago H. Falk, Vuk Pavlovic, Ferdin Ephrem, Diana Lucaci

Proceedings of the 2018 IEEE Canadian Conference on Electrical & Computer Engineering, 2018

2017

EEG coupling features: Towards mental workload measurement based on wearables.

Alexandre Drouin-Picaro, Isabela Albuquerque, Jean-François Gagnon, Daniel Lafond, Tiago H. Falk

Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017