Sotabase

Career

· Associate Professor, McGill University
· PhD Student, McGill University
· PhD Student, McMaster University
· Postdoctoral Studies, McMaster University
· Associate Academic Member, Mila - Quebec Artificial Intelligence Institute
· Postdoctoral Studies, University of Toronto

Publications (96)

Tools and Techniques for Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2)/COVID-19 Detection
Clinical Microbiology Reviews · 2021
296
cited
Local Feature Selection for Data Classification
IEEE Transactions on Pattern Analysis and Machine Intelligence · 2016
91
cited
DASVDD: Deep Autoencoding Support Vector Data Descriptor for Anomaly Detection
IEEE Transactions on Knowledge and Data Engineering · 2021
57
cited
Liveness Detection and Automatic Template Updating Using Fusion of ECG and Fingerprint
IEEE Transactions on Information Forensics and Security · 2018
54
cited
Self-Supervised Learning for Anomalous Channel Detection in EEG Graphs: Application to Seizure Analysis
AAAI Conference on Artificial Intelligence · 2022
53
cited
Self-Supervised Acoustic Anomaly Detection Via Contrastive Learning
IEEE International Conference on Acoustics, Speech, and Signal Processing · 2021
47
cited
Feature Selection for Nonstationary Data: Application to Human Recognition Using Medical Biometrics
IEEE Transactions on Cybernetics · 2018
43
cited
Self-Supervised Anomaly Detection: A Survey and Outlook
arXiv.org · 2022
43
cited
A novel hybrid algorithm for binarization of badly illuminated document images
2009 14th International CSI Computer Conference · 2009
30
cited
Multiview Feature Selection for Single-View Classification
IEEE Transactions on Pattern Analysis and Machine Intelligence · 2020
27
cited
TED: A texture-edge descriptor for pedestrian detection in video sequences
Pattern Recognition · 2012
26
cited
A Machine Learning Framework for Automatic and Continuous MMN Detection With Preliminary Results for Coma Outcome Prediction
IEEE journal of biomedical and health informatics · 2019
22
cited
Multistep networks for roll force prediction in hot strip rolling mill
Machine Learning with Applications · 2022
20
cited
Graph Anomaly Detection in Time Series: A Survey
IEEE Transactions on Pattern Analysis and Machine Intelligence · 2023
18
cited
Vigilance lapse identification using sparse EEG electrode arrays
Canadian Conference on Electrical and Computer Engineering · 2016
17
cited
C3: Cross-instance guided Contrastive Clustering
British Machine Vision Conference · 2022
16
cited
Logistic Localized Modeling of the Sample Space for Feature Selection and Classification
IEEE Transactions on Neural Networks and Learning Systems · 2018
16
cited
Spatio-temporal hard attention learning for skeleton-based activity recognition
Pattern Recognition · 2023
16
cited
Degraded document image binarization based on combination of two complementary algorithms
International Conference on Advances in Computational Tools for Engineering Applications · 2009
15
cited
Multivariate Time-Series Anomaly Detection with Temporal Self-supervision and Graphs: Application to Vehicle Failure Prediction
ECML/PKDD · 2023
14
cited
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Narges Armanfard | Researcher Profile | Sotabase | Sotabase