activity
20182022
most citedUnsupervised Domain Adversarial Self-Calibration for Electromyographic-based Gesture Recognition

63 citations · 107 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2022★ 2 cited

Adherence Forecasting for Guided Internet-Delivered Cognitive Behavioral Therapy: A Minimally Data-Sensitive Approach

Ulysse Côté-Allard, Minh H. Pham, Alexandra K. Schultz +2

Internet-delivered psychological treatments (IDPT) are seen as an effective and scalable pathway to improving the accessibility of mental healthcare. Within this context, treatment…

cs.RO2021★ 9 cited

Reinforcement Learning-based Switching Controller for a Milliscale Robot in a Constrained Environment

Abbas Tariverdi, Ulysse Côté-Allard, Kim Mathiassen +4

This work presents a reinforcement learning-based switching control mechanism to autonomously move a ferromagnetic object (representing a milliscale robot) around obstacles within…

cs.LG2021★ 27 cited

Long-Short Ensemble Network for Bipolar Manic-Euthymic State Recognition Based on Wrist-worn Sensors

Ulysse Côté-Allard, Petter Jakobsen, Andrea Stautland +4

Manic episodes of bipolar disorder can lead to uncritical behaviour and delusional psychosis, often with destructive consequences for those affected and their surroundings. Early d…

cs.HC2019★ 63 cited

Unsupervised Domain Adversarial Self-Calibration for Electromyographic-based Gesture Recognition

Ulysse Côté-Allard, Gabriel Gagnon-Turcotte, Angkoon Phinyomark +4

Surface electromyography (sEMG) provides an intuitive and non-invasive interface from which to control machines. However, preserving the myoelectric control system's performance ov…

cs.LG2018★ 6 cited

Deep Learning for Electromyographic Hand Gesture Signal Classification Using Transfer Learning

Ulysse Côté-Allard, Cheikh Latyr Fall, Alexandre Drouin +5

In recent years, deep learning algorithms have become increasingly more prominent for their unparalleled ability to automatically learn discriminant features from large amounts of…