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ORCIDIsabela Albuquerque
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- Isabela M. C. de Albuquerque (aka: Isabela Maria Carneiro de Albuquerque)
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2020 – today
- 2024
[c15]Isabela Albuquerque, Jessica Schrouff, David Warde-Farley, Ali Taylan Cemgil, Sven Gowal, Olivia Wiles:
Evaluating Model Bias Requires Characterizing its Mistakes. ICML 2024- [i16]Olivia Wiles, Chuhan Zhang, Isabela Albuquerque, Ivana Kajic, Su Wang, Emanuele Bugliarello, Yasumasa Onoe, Chris Knutsen, Cyrus Rashtchian, Jordi Pont-Tuset, Aida Nematzadeh:
Revisiting Text-to-Image Evaluation with Gecko: On Metrics, Prompts, and Human Ratings. CoRR abs/2404.16820 (2024) - [i15]Ivana Kajic, Olivia Wiles, Isabela Albuquerque, Matthias Bauer, Su Wang, Jordi Pont-Tuset, Aida Nematzadeh:
Evaluating Numerical Reasoning in Text-to-Image Models. CoRR abs/2406.14774 (2024) - [i14]Jessica Schrouff, Alexis Bellot, Amal Rannen-Triki, Alan Malek, Isabela Albuquerque, Arthur Gretton, Alexander D'Amour, Silvia Chiappa:
Mind the Graph When Balancing Data for Fairness or Robustness. CoRR abs/2406.17433 (2024) - [i13]Isabela Albuquerque, Jessica Schrouff, David Warde-Farley, A. Taylan Cemgil, Sven Gowal, Olivia Wiles:
Evaluating Model Bias Requires Characterizing its Mistakes. CoRR abs/2407.10633 (2024) - [i12]Jason Baldridge, Jakob Bauer, Mukul Bhutani, Nicole Brichtova, Andrew Bunner, Kelvin Chan, Yichang Chen, Sander Dieleman, Yuqing Du, Zach Eaton-Rosen, Hongliang Fei, Nando de Freitas, Yilin Gao, Evgeny Gladchenko, Sergio Gómez Colmenarejo, Mandy Guo, Alex Haig, Will Hawkins, Hexiang Hu, Huilian Huang, Tobenna Peter Igwe, Christos Kaplanis, Siavash Khodadadeh, Yelin Kim, Ksenia Konyushkova, Karol Langner, Eric Lau, Shixin Luo, Sona Mokrá, Henna Nandwani, Yasumasa Onoe, Aäron van den Oord, Zarana Parekh, Jordi Pont-Tuset, Hang Qi, Rui Qian, Deepak Ramachandran, Poorva Rane, Abdullah Rashwan, Ali Razavi, Robert Riachi, Hansa Srinivasan, Srivatsan Srinivasan, Robin Strudel, Benigno Uria, Oliver Wang, Su Wang, Austin Waters, Chris Wolff, Auriel Wright, Zhisheng Xiao, Hao Xiong, Keyang Xu, Marc van Zee, Junlin Zhang, Katie Zhang, Wenlei Zhou, Konrad Zolna, Ola Aboubakar, Canfer Akbulut, Oscar Akerlund, Isabela Albuquerque, Nina Anderson, Marco Andreetto, Lora Aroyo, Ben Bariach, David Barker, Sherry Ben, Dana Berman, Courtney Biles, Irina Blok, Pankil Botadra, Jenny Brennan, Karla Brown, John Buckley, Rudy Bunel, Elie Bursztein, Christina Butterfield, Ben Caine, Viral Carpenter, Norman Casagrande, Ming-Wei Chang, Solomon Chang, Shamik Chaudhuri, Tony Chen, John Choi, Dmitry Churbanau, Nathan Clement, Matan Cohen, Forrester Cole, Mikhail Dektiarev, Vincent Du, Praneet Dutta, Tom Eccles, Ndidi Elue, Ashley Feden, Shlomi Fruchter, Frankie Garcia, Roopal Garg:
Imagen 3. CoRR abs/2408.07009 (2024) - 2023
- [i11]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:
Generative models improve fairness of medical classifiers under distribution shifts. CoRR abs/2304.09218 (2023) - 2022
- [j2]Isabela Albuquerque, João Monteiro, Olivier Rosanne, Tiago H. Falk:
Estimating distribution shifts for predicting cross-subject generalization in electroencephalography-based mental workload assessment. Frontiers Artif. Intell. 5 (2022) - [i10]Olivia Wiles, Isabela Albuquerque, Sven Gowal:
Discovering Bugs in Vision Models using Off-the-shelf Image Generation and Captioning. CoRR abs/2208.08831 (2022) - 2020
- [c14]João Monteiro, Isabela Albuquerque, Jahangir Alam, R. Devon Hjelm, Tiago H. Falk:
An end-to-end approach for the verification problem: learning the right distance. ICML 2020: 7022-7033 - [i9]João Monteiro, Isabela Albuquerque, Jahangir Alam, R. Devon Hjelm, Tiago H. Falk:
An end-to-end approach for the verification problem: learning the right distance. CoRR abs/2002.09469 (2020) - [i8]Isabela Albuquerque, Nikhil Naik, Junnan Li, Nitish Shirish Keskar, Richard Socher:
Improving out-of-distribution generalization via multi-task self-supervised pretraining. CoRR abs/2003.13525 (2020)
2010 – 2019
- 2019
- [j1]Abhishek Tiwari
, Isabela Albuquerque, Mark Parent, Jean-François Gagnon, Daniel Lafond, Sébastien Tremblay, Tiago H. Falk:
Multi-Scale Heart Beat Entropy Measures for Mental Workload Assessment of Ambulant Users. Entropy 21(8): 783 (2019) - [c13]Thang Doan, João Monteiro, Isabela Albuquerque, Bogdan Mazoure, Audrey Durand, Joelle Pineau, R. Devon Hjelm:
On-Line Adaptative Curriculum Learning for GANs. AAAI 2019: 3470-3477 - [c12]Raymundo Cassani, Isabela Albuquerque, João Monteiro, Tiago H. Falk:
AMA: An Open-source Amplitude Modulation Analysis Toolkit for Signal Processing Applications. GlobalSIP 2019: 1-4 - [c11]Isabela Albuquerque, João Monteiro, Thang Doan, Breandan Considine, Tiago H. Falk, Ioannis Mitliagkas:
Multi-objective training of Generative Adversarial Networks with multiple discriminators. ICML 2019: 202-211 - [c10]Hubert J. Banville, Graeme Moffat, Isabela Albuquerque, Denis-Alexander Engemann, Aapo Hyvärinen, Alexandre Gramfort:
Self-Supervised Representation Learning from Electroencephalography Signals. MLSP 2019: 1-6 - [c9]Olivier Rosanne, Isabela Albuquerque, Jean-François Gagnon, Sébastien Tremblay, Tiago H. Falk:
Performance Comparison of Automated EEG Enhancement Algorithms for Mental Workload Assessment of Ambulant Users. NER 2019: 61-64 - [c8]Isabela Albuquerque, Olivier Rosanne, Jean-François Gagnon, Sébastien Tremblay, Tiago H. Falk:
Fusion of Spectral and Spectro-Temporal EEG Features for Mental Workload Assessment Under Different Levels of Physical Activity. NER 2019: 311-314 - [c7]João Monteiro, Isabela Albuquerque, Zahid Akhtar, Tiago H. Falk:
Generalizable Adversarial Examples Detection Based on Bi-model Decision Mismatch. SMC 2019: 2839-2844 - [c6]Isabela Albuquerque, João Monteiro, Olivier Rosanne, Abhishek Tiwari, Jean-François Gagnon, Tiago H. Falk:
Cross-Subject Statistical Shift Estimation for Generalized Electroencephalography-based Mental Workload Assessment. SMC 2019: 3647-3653 - [c5]Mark Parent, Abhishek Tiwari, Isabela Albuquerque, Jean-François Gagnon, Daniel Lafond, Sébastien Tremblay, Tiago H. Falk:
A Multimodal Approach to Improve the Robustness of Physiological Stress Prediction During Physical Activity. SMC 2019: 4131-4136 - [c4]Abhishek Tiwari, Isabela Albuquerque, Jean-François Gagnon, Daniel Lafond, Mark Parent, Sébastien Tremblay, Tiago H. Falk:
Mental Workload Assessment During Physical Activity Using Non-linear Movement Artefact Robust Electroencephalography Features. SMC 2019: 4149-4154 - [i7]Yannick Roy, Hubert J. Banville, Isabela Albuquerque, Alexandre Gramfort, Tiago H. Falk, Jocelyn Faubert:
Deep learning-based electroencephalography analysis: a systematic review. CoRR abs/1901.05498 (2019) - [i6]Isabela Albuquerque, João Monteiro, Thang Doan, Breandan Considine, Tiago H. Falk, Ioannis Mitliagkas:
Multi-objective training of Generative Adversarial Networks with multiple discriminators. CoRR abs/1901.08680 (2019) - [i5]Isabela Albuquerque, João Monteiro, Tiago H. Falk:
Learning to navigate image manifolds induced by generative adversarial networks for unsupervised video generation. CoRR abs/1901.11384 (2019) - [i4]Isabela Albuquerque, João Monteiro, Olivier Rosanne, Abhishek Tiwari, Jean-François Gagnon, Tiago H. Falk:
Cross-Subject Statistical Shift Estimation for Generalized Electroencephalography-based Mental Workload Assessment. CoRR abs/1906.08823 (2019) - [i3]Isabela Albuquerque, João Monteiro, Tiago H. Falk, Ioannis Mitliagkas:
Adversarial target-invariant representation learning for domain generalization. CoRR abs/1911.00804 (2019) - [i2]Hubert J. Banville, Isabela Albuquerque, Aapo Hyvärinen, Graeme Moffat, Denis-Alexander Engemann, Alexandre Gramfort:
Self-supervised representation learning from electroencephalography signals. CoRR abs/1911.05419 (2019) - 2018
- [c3]Isabela Albuquerque, João Monteiro, Tiago H. Falk, Vuk Pavlovic, Ferdin Ephrem, Diana Lucaci:
Multimodal Assessment of Human Innovation Perception Based on Eye Tracking, Electroencephalography and Electrocardiography. CCECE 2018: 1-4 - [c2]Isabela Albuquerque, Abhishek Tiwari, Jean-François Gagnon, Daniel Lafond, Mark Parent, Sébastien Tremblay, Tiago H. Falk:
On the Analysis of EEG Features for Mental Workload Assessment During Physical Activity. SMC 2018: 538-543 - [i1]Thang Doan, João Monteiro, Isabela Albuquerque, Bogdan Mazoure, Audrey Durand, Joelle Pineau, R. Devon Hjelm:
Online Adaptative Curriculum Learning for GANs. CoRR abs/1808.00020 (2018) - 2017
- [c1]Alexandre Drouin-Picaro, Isabela Albuquerque, Jean-François Gagnon, Daniel Lafond, Tiago H. Falk:
EEG coupling features: Towards mental workload measurement based on wearables. SMC 2017: 28-33
Coauthor Index
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