This profile is built from public research funding records (CIHR, NSERC and SSHRC) and PubMed. We have not imported them from a Université de Sherbrooke directory, so their courses may be missing. Find their university profile.
Research
Latest papers
An Outlier Suppression and Adversarial Learning Model for Anomaly Detection in Multivariate Time Series.
Entropy (Basel, Switzerland) · 2025 · senior author
COVID-19: Detecting depression signals during stay-at-home period.
Health informatics journal · 2022 · senior author
Dynamic order Markov model for categorical sequence clustering.
Journal of big data · 2021 · senior author
Latest funding
- $521,748
Network Anomaly Detection with Quantum Machine Learning
NSERC · 2021 · Co-investigator
- $120,000
Large-scale Co-evolving Data Mining for Survival Event Prediction
NSERC · 2020 · Principal investigator
- $288,000
Large-scale Co-evolving Data Mining for Survival Event Prediction
NSERC · 2020 · Principal investigator
14 publications.
An Outlier Suppression and Adversarial Learning Model for Anomaly Detection in Multivariate Time Series.
Zhang W, Li T, He P, Yang Y, Wang S
COVID-19: Detecting depression signals during stay-at-home period.
Tshimula JM, Chikhaoui B, Wang S
Dynamic order Markov model for categorical sequence clustering.
Chen R, Sun H, Chen L, Zhang J, Wang S
Feature-weighted survival learning machine for COPD failure prediction.
Zhang J, Wang S, Courteau J, Chen L, Guo G, Vanasse A
Structurexplor: a platform for the exploration of structural features of RNA secondary structures.
Glouzon JS, Perreault JP, Wang S
A new method for decontamination of de novo transcriptomes using a hierarchical clustering algorithm.
Lafond-Lapalme J, Duceppe MO, Wang S, Moffett P, Mimee B
The super-n-motifs model: a novel alignment-free approach for representing and comparing RNA secondary structures.
Glouzon JS, Perreault JP, Wang S
Accuracy and generalizability of using automated methods for identifying adverse events from electronic health record data: a validation study protocol.
Rochefort CM, Buckeridge DL, Tanguay A, Biron A, D'Aragon F, Wang S, Gallix B, Valiquette L, Audet LA, Lee TC, Jayaraman D, Petrucci B, Lefebvre P
Homeostatic dysregulation proceeds in parallel in multiple physiological systems.
Li Q, Wang S, Milot E, Bergeron P, Ferrucci L, Fried LP, Cohen AA
Deep-sequencing of the peach latent mosaic viroid reveals new aspects of population heterogeneity.
Glouzon JP, Bolduc F, Wang S, Najmanovich RJ, Perreault JP
Network Anomaly Detection with Quantum Machine Learning
Principal investigators: Cherkaoui, Soumaya S
Keywords: Network Anomaly Detection
Large-scale Co-evolving Data Mining for Survival Event Prediction
Principal investigators: Wang, Shengrui
Large-scale Co-evolving Data Mining for Survival Event Prediction
Principal investigators: Wang, Shengrui
Keywords: data mining and machine learning; survival analysis; trajectory analysis; event prediction; sequence data and time series data; neural networks; robusteness and interpretability; financial time series analysis,; healthcare data analysis; communities in time-evolving social networks
Time-dependent Survival Neural Networks for Predicting Incoming Workload and Order Turn Around Time in a Radiology Service
Principal investigators: Wang, Shengrui
Regime Learning and Prediction on Time-series Data
Principal investigators: Wang, Shengrui
Sequence Clustering for Regime Change Detection
Principal investigators: Wang, Shengrui
Accuracy and generalizability of using automated methods for identifying adverse events from electronic health record data
Principal investigators: Rochefort, Christian
Keywords: Acute Care Hospitals; Adverse Events; Automated Detection; Central Line-Associated Bloodstream Infection; Electronic Health Record; Health Informatics; Hospital-Acquired Pneumonia; Validation Study; Ventilator-Associated Events
Mining High-Dimensional Event Sequences for Predictive Modelling
Principal investigators: Wang, Shengrui
Combining Transactional Data Mining and Sequence Mining Techniques for Efficient Real-Time Threat Assessment
Principal investigators: Wang, Shengrui
A web server integrated into a supercomputer for a new generation of bioinformatics tools / Serveur web intégré à un superordinateur pour une nouvelle génération d'outils bio-info
Principal investigators: Jacques, PierreÉtienne
From CIHR, NSERC and SSHRC funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998, including their latest published competition results.
Frequent collaborators
- Jean-Pierre Perreault and Shengrui Wang: 3 shared papers
- Alain Vanasse and Patrick Bergeron: 2 shared papers
- Alain Vanasse and Shengrui Wang: 1 shared paper
- Nicolas Gévry and Shengrui Wang: 1 shared paper
- Nicolas Gévry and Dominique Toupin: 1 shared paper
- Jean-Pierre Perreault and Peter Moffett: 1 shared paper
- Shengrui Wang and Patrick Bergeron: 1 shared paper
- Shengrui Wang and Peter Moffett: 1 shared paper
- Shengrui Wang and Belkacem Chikhaoui: 1 shared paper
- Shengrui Wang and Dominique Toupin: 1 shared paper
- Biologie
- Informatique
- Dept de biochimie
- Family Medicine and Emergency Medicine
- Science and Technology
- Management, Business, Administrative Studies
- Biological sciences
Co-authors at Université de Sherbrooke, colored by department. Thicker lines mean more shared papers; select anyone to open their profile and their own map.
Jean-Pierre Perreault
Dept de biochimie
3 shared papers, latest 2017
Peter Moffett
Biologie
1 shared papers, latest 2017
Belkacem Chikhaoui
Science and Technology
1 shared papers, latest 2022
Dominique Toupin
Management, Business, Administrative Studies
1 shared papers, latest 2013
Patrick Bergeron
Biological sciences
1 shared papers, latest 2015
Alain Vanasse
Family Medicine and Emergency Medicine
1 shared papers, latest 2019
Nicolas Gévry
Biologie
1 shared papers, latest 2013
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