65 citations
- University of CalgaryCA3 papers
- Allen Institute for Brain ScienceUS2 papers
- Hotchkiss Brain InstituteCA2 papers
- American University of the Middle EastKW1 paper
- Google (Canada)CA1 paper
- MIND Research InstituteUS1 paper
- Simon Fraser UniversityCA1 paper
- Toronto Rehabilitation InstituteCA1 paper
- Universidade Estadual de Campinas (UNICAMP)BR1 paper
- University Health NetworkCA1 paper
- University of TorontoCA1 paper
- Western UniversityCA1 paper
6 papers
HEART-Watch: A multimodal physiological dataset from a Google Pixel Watch across different physical states
Jathushan Kaetheeswaran, Boyi Ma, Ali Abedi +2
Consumer-grade smartwatches offer a new option for personalized health monitoring for general consumers, as cardiovascular diseases continue to prevail as the leading cause of glob…
A voxel-level approach to brain age prediction: A method to assess regional brain aging
Neha Gianchandani, Mahsa Dibaji, Johanna Ospel +4
Brain aging is a regional phenomenon, a facet that remains relatively under-explored within the realm of brain age prediction research using machine learning methods. Voxel-level p…
A Survey on RGB-D Datasets
Alexandre Lopes, Roberto Souza, Helio Pedrini
RGB-D data is essential for solving many problems in computer vision. Hundreds of public RGB-D datasets containing various scenes, such as indoor, outdoor, aerial, driving, and med…
Learning Mesh Representations via Binary Space Partitioning Tree Networks
Zhiqin Chen, Andrea Tagliasacchi, Hao Zhang
Polygonal meshes are ubiquitous, but have only played a relatively minor role in the deep learning revolution. State-of-the-art neural generative models for 3D shapes learn implici…
Chimera patterns in conservative systems and ultracold atoms with mediated nonlocal hopping
Hon Wai Lau, Jörn Davidsen, Christoph Simon
Experimental realizations of chimera patterns, characterized by coexisting regions of phase coherence and incoherence, have so far only been achieved for non-conservative systems w…
Deep Feature Learning for EEG Recordings
Sebastian Stober, Avital Sternin, Adrian M. Owen +1
We introduce and compare several strategies for learning discriminative features from electroencephalography (EEG) recordings using deep learning techniques. EEG data are generally…