Speech emotion recognition on mobile devices based on modulation spectral feature pooling and deep neural networks. - Anderson R. Avila; João Monteiro 002; Douglas D. O'Shaughnessy; Tiago H. Falk (ISSPIT, 2017)

Multimodal Assessment of Human Innovation Perception Based on Eye Tracking, Electroencephalography and Electrocardiography. - Isabela Albuquerque; João Monteiro 002; Tiago H. Falk; Vuk Pavlovic; Ferdin Ephrem; Diana Lucaci (CCECE, 2018)

Adversarial Examples Detection Using No-Reference Image Quality Features. - Zahid Akhtar; João Monteiro 002; Tiago H. Falk (ICCST, 2018)

Generalizable Adversarial Examples Detection Based on Bi-model Decision Mismatch. - João Monteiro 002; Zahid Akhtar; Tiago H. Falk (CoRR, 2018)

Online Adaptative Curriculum Learning for GANs. - Thang Doan; João Monteiro 002; Isabela Albuquerque; Bogdan Mazoure; Audrey Durand; Joelle Pineau; R. Devon Hjelm (CoRR, 2018)

On-Line Adaptative Curriculum Learning for GANs. - Thang Doan; João Monteiro 002; Isabela Albuquerque; Bogdan Mazoure; Audrey Durand; Joelle Pineau; R. Devon Hjelm (AAAI, 2019)

Development of Voice Spoofing Detection Systems for 2019 Edition of Automatic Speaker Verification and Countermeasures Challenge. - João Monteiro 002; Jahangir Alam 001 (ASRU, 2019)

End-to-End Language Identification Using a Residual Convolutional Neural Network with Attentive Temporal Pooling. - João Monteiro 002; Jahangir Alam 001; Gautam Bhattacharya; Tiago H. Falk (EUSIPCO, 2019)

AMA: An Open-source Amplitude Modulation Analysis Toolkit for Signal Processing Applications. - Raymundo Cassani; Isabela Albuquerque; João Monteiro 002; Tiago H. Falk (GlobalSIP, 2019)

Generative Adversarial Speaker Embedding Networks for Domain Robust End-to-end Speaker Verification. - Gautam Bhattacharya; João Monteiro 002; Jahangir Alam 001; Patrick Kenny (ICASSP, 2019)

Multi-objective training of Generative Adversarial Networks with multiple discriminators. - Isabela Albuquerque; João Monteiro 002; Thang Doan; Breandan Considine; Tiago H. Falk; Ioannis Mitliagkas (ICML, 2019)

Combining Speaker Recognition and Metric Learning for Speaker-Dependent Representation Learning. - João Monteiro 002; Jahangir Alam 001; Tiago H. Falk (INTERSPEECH, 2019)

End-To-End Detection Of Attacks To Automatic Speaker Recognizers With Time-Attentive Light Convolutional Neural Networks. - João Monteiro 002; Jahangir Alam 001; Tiago H. Falk (MLSP, 2019)

Cross-Subject Statistical Shift Estimation for Generalized Electroencephalography-based Mental Workload Assessment. - Isabela Albuquerque; João Monteiro 002; Olivier Rosanne; Abhishek Tiwari 003; Jean-François Gagnon; Tiago H. Falk (SMC, 2019)

Generalizable Adversarial Examples Detection Based on Bi-model Decision Mismatch. - João Monteiro 002; Isabela Albuquerque; Zahid Akhtar; Tiago H. Falk (SMC, 2019)

Learning to navigate image manifolds induced by generative adversarial networks for unsupervised video generation. - Isabela Albuquerque; João Monteiro 002; Tiago H. Falk (CoRR, 2019)

Adversarial target-invariant representation learning for domain generalization. - Isabela Albuquerque; João Monteiro 002; Tiago H. Falk; Ioannis Mitliagkas (CoRR, 2019)

Residual convolutional neural network with attentive feature pooling for end-to-end language identification from short-duration speech. - João Monteiro 002; Jahangir Alam 001; Tiago H. Falk (Comput. Speech Lang., 2019)

An Ensemble Based Approach for Generalized Detection of Spoofing Attacks to Automatic Speaker Recognizers. - João Monteiro 002; Jahangir Alam 001; Tiago H. Falk (ICASSP, 2020)

Multi-Task Self-Supervised Learning for Robust Speech Recognition. - Mirco Ravanelli; Jianyuan Zhong; Santiago Pascual; Pawel Swietojanski; João Monteiro 002; Jan Trmal; Yoshua Bengio (ICASSP, 2020)

An end-to-end approach for the verification problem: learning the right distance. - João Monteiro 002; Isabela Albuquerque; Jahangir Alam 001; R. Devon Hjelm; Tiago H. Falk (ICML, 2020)

On The Performance of Time-Pooling Strategies for End-to-End Spoken Language Identification. - João Monteiro 002; Jahangir Alam 001; Tiago H. Falk (LREC, 2020)

Analysis of ABC Submission to NIST SRE 2019 CMN and VAST Challenge. - Jahangir Alam 001; Gilles Boulianne; Lukás Burget; Mohamed Dahmane; Mireia Díez Sánchez; Alicia Lozano-Diez; Ondrej Glembek; Pierre-Luc St-Charles; Marc Lalonde; Pavel Matejka; Petr Mizera; João Monteiro 002; et al. (Odyssey, 2020)

A Multi-condition Training Strategy for Countermeasures Against Spoofing Attacks to Speaker Recognizers. - João Monteiro 002; Jahangir Alam 001; Tiago H. Falk (Odyssey, 2020)

Generalized end-to-end detection of spoofing attacks to automatic speaker recognizers. - João Monteiro 002; Jahangir Alam 001; Tiago H. Falk (Comput. Speech Lang., 2020)

CADet: Fully Self-Supervised Anomaly Detection With Contrastive Learning. - Charles Guille-Escuret; Pau Rodríguez; David Vázquez 001; Ioannis Mitliagkas; João Monteiro 002 (CoRR, 2022)

Estimating distribution shifts for predicting cross-subject generalization in electroencephalography-based mental workload assessment. - Isabela Albuquerque; João Monteiro 002; Olivier Rosanne; Tiago H. Falk (Frontiers Artif. Intell., 2022)

Multi-level self-attentive TDNN: A general and efficient approach to summarize speech into discriminative utterance-level representations. - João Monteiro 002; Jahangir Alam 001; Tiago H. Falk (Speech Commun., 2022)

Constraining Representations Yields Models That Know What They Don't Know. - João Monteiro 002; Pau Rodríguez; Pierre-André Noël; Issam H. Laradji; David Vázquez 001 (ICLR, 2023)

CADet: Fully Self-Supervised Out-Of-Distribution Detection With Contrastive Learning. - Charles Guille-Escuret; Pau Rodríguez; David Vázquez 001; Ioannis Mitliagkas; João Monteiro 002 (NeurIPS, 2023)

Group Robust Classification Without Any Group Information. - Christos Tsirigotis; João Monteiro 002; Pau Rodríguez; David Vázquez 001; Aaron C. Courville (NeurIPS, 2023)

COVID-19 Detection via Fusion of Modulation Spectrum and Linear Prediction Speech Features. - Yi Zhu 011; Abhishek Tiwari 003; João Monteiro 002; Shruti Rajendra Kshirsagar; Tiago H. Falk (IEEE ACM Trans. Audio Speech Lang. Process., 2023)

XC-Cache: Cross-Attending to Cached Context for Efficient LLM Inference. - João Monteiro 002; Étienne Marcotte; Pierre-André Noël; Valentina Zantedeschi; David Vázquez 001; Nicolas Chapados; Christopher Pal; Perouz Taslakian (EMNLP (Findings), 2024)

RepLiQA: A Question-Answering Dataset for Benchmarking LLMs on Unseen Reference Content. - João Monteiro 002; Pierre-André Noël; Étienne Marcotte; Sai Rajeswar Mudumba; Valentina Zantedeschi; David Vázquez 001; Nicolas Chapados; Chris Pal; Perouz Taslakian (NeurIPS, 2024)

Expecting The Unexpected: Towards Broad Out-Of-Distribution Detection. - Charles Guille-Escuret; Pierre-André Noël; Ioannis Mitliagkas; David Vázquez 001; João Monteiro 002 (NeurIPS, 2024)

BigDocs: An Open and Permissively-Licensed Dataset for Training Multimodal Models on Document and Code Tasks. - Juan A. Rodríguez; Xiangru Jian; Siba Smarak Panigrahi; Tianyu Zhang; Aarash Feizi; Abhay Puri; Akshay Kalkunte; François Savard; Ahmed Masry; Shravan Nayak; Rabiul Awal; Mahsa Massoud; et al. (CoRR, 2024)

Performance Control in Early Exiting to Deploy Large Models at the Same Cost of Smaller Ones. - Mehrnaz Mofakhami; Reza Bayat; Ioannis Mitliagkas; João Monteiro 002; Valentina Zantedeschi (CoRR, 2024)

PairBench: A Systematic Framework for Selecting Reliable Judge VLMs. - Aarash Feizi; Sai Rajeswar; Adriana Romero-Soriano; Reihaneh Rabbany; Spandana Gella; Valentina Zantedeschi; João Monteiro 002 (CoRR, 2025)

BiXSE: Improving Dense Retrieval via Probabilistic Graded Relevance Distillation. - Christos Tsirigotis; Vaibhav Adlakha; João Monteiro 002; Aaron C. Courville; Perouz Taslakian (CoRR, 2025)