Search Results for author: Tiago H. Falk

Found 6 papers, 3 papers with code

TILES-2018, a longitudinal physiologic and behavioral data set of hospital workers

no code implementations18 Mar 2020 Karel Mundnich, Brandon M. Booth, Michelle L'Hommedieu, Tiantian Feng, Benjamin Girault, Justin L'Hommedieu, Mackenzie Wildman, Sophia Skaaden, Amrutha Nadarajan, Jennifer L. Villatte, Tiago H. Falk, Kristina Lerman, Emilio Ferrara, Shrikanth Narayanan

We designed the study to investigate the use of off-the-shelf wearable and environmental sensors to understand individual-specific constructs such as job performance, interpersonal interaction, and well-being of hospital workers over time in their natural day-to-day job settings.

Privacy Preserving

Generalizing to unseen domains via distribution matching

1 code implementation3 Nov 2019 Isabela Albuquerque, João Monteiro, Mohammad Darvishi, Tiago H. Falk, Ioannis Mitliagkas

In this work, we tackle such problem by focusing on domain generalization: a formalization where the data generating process at test time may yield samples from never-before-seen domains (distributions).

Domain Generalization Object Recognition +2

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

no code implementations20 Jun 2019 Isabela Albuquerque, João Monteiro, Olivier Rosanne, Abhishek Tiwari, Jean-François Gagnon, Tiago H. Falk

Besides shedding light on the assumptions that hold for a particular dataset, the estimates of statistical shifts obtained with the proposed approach can be used for investigating other aspects of a machine learning pipeline, such as quantitatively assessing the effectiveness of domain adaptation strategies.

Domain Adaptation EEG

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

1 code implementation23 Jan 2019 Isabela Albuquerque, João Monteiro, Tiago H. Falk

Afterwards, a recurrent model is trained with the goal of providing a sequence of inputs to the previously trained frames generator, thus yielding scenes which look natural.

Navigate Video Generation

Deep learning-based electroencephalography analysis: a systematic review

3 code implementations16 Jan 2019 Yannick Roy, Hubert Banville, Isabela Albuquerque, Alexandre Gramfort, Tiago H. Falk, Jocelyn Faubert

To help the field progress, we provide a list of recommendations for future studies and we make our summary table of DL and EEG papers available and invite the community to contribute.

Brain Decoding EEG +1

Generalizable Adversarial Examples Detection Based on Bi-model Decision Mismatch

no code implementations21 Feb 2018 João Monteiro, Isabela Albuquerque, Zahid Akhtar, Tiago H. Falk

Non-linear binary classifiers trained on top of our proposed features can achieve a high detection rate (>90%) in a set of white-box attacks and maintain such performance when tested against unseen attacks.

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