Faculty profile
Nizar Bouguila
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Research
Latest papers
Neural topic modeling on hyperspheres: Spherical representation learning with von Mises-Fisher mixtures.
Neural networks : the official journal of the International Neural Network Society · 2026
Disentangled representation learning for multi-view clustering via von Mises-Fisher hyperspherical embedding.
Neural networks : the official journal of the International Neural Network Society · 2025
Clustering and Interpretability of Residential Electricity Demand Profiles.
Sensors (Basel, Switzerland) · 2025 · senior author
Latest funding
- $92,000
A unified framework for interactive explainable unsupervised learning and unsupervised model adaptation: Application to multimodal activity recognition
NSERC · 2023 · Principal investigator
- $237,411
HARNESSING SCREEN CONTENT FOR THE WELL-BEING OF LONG TERM CARE RESIDENTS: A HUMAN EXPERTISE / ARTIFICIAL INTELLIGENCE ENDEAVOUR TO COUNTERACT COVID RELATED SOCIAL ISOLATION
SSHRC · 2021 · Co-investigator
- $25,000
Offline virtual advertisement replacement in sports from uncalibrated video**
NSERC · 2018 · Principal investigator
21 publications.
Neural topic modeling on hyperspheres: Spherical representation learning with von Mises-Fisher mixtures.
Guo D, Luo Z, Bouguila N, Fan W
Disentangled representation learning for multi-view clustering via von Mises-Fisher hyperspherical embedding.
Li Z, Luo Z, Bouguila N, Su W, Fan W
Clustering and Interpretability of Residential Electricity Demand Profiles.
Kallel S, Amayri M, Bouguila N
Deep clustering analysis via variational autoencoder with Gamma mixture latent embeddings.
Guo J, Fan W, Amayri M, Bouguila N
SAVE: Self-Attention on Visual Embedding for Zero-Shot Generic Object Counting.
Zgaren A, Bouachir W, Bouguila N
Affinity-Driven Transfer Learning for Load Forecasting.
Rebei A, Amayri M, Bouguila N
FishSegSSL: A Semi-Supervised Semantic Segmentation Framework for Fish-Eye Images.
Paul S, Patterson Z, Bouguila N
Perceptions of self-monitoring dietary intake according to a plate-based approach: A qualitative study.
Kheirmandparizi M, Gouin JP, Bouchaud CC, Kebbe M, Bergeron C, Madani Civi R, Rhodes RE, Farnesi BC, Bouguila N, Conklin AI, Lear SA, Cohen TR
Unsupervised Mixture Models on the Edge for Smart Energy Consumption Segmentation with Feature Saliency.
Al-Bazzaz H, Azam M, Amayri M, Bouguila N
Data-Weighted Multivariate Generalized Gaussian Mixture Model: Application to Point Cloud Robust Registration.
Ge B, Najar F, Bouguila N
A unified framework for interactive explainable unsupervised learning and unsupervised model adaptation: Application to multimodal activity recognition
Principal investigators: Bouguila, Nizar
Keywords: explainable clustering; interactive machine learning; unsupervised model adaptation; activity recognition
HARNESSING SCREEN CONTENT FOR THE WELL-BEING OF LONG TERM CARE RESIDENTS: A HUMAN EXPERTISE / ARTIFICIAL INTELLIGENCE ENDEAVOUR TO COUNTERACT COVID RELATED SOCIAL ISOLATION
Principal investigators: Ansaldo, Ana Inés
Keywords: Long Term Care Social Isolation and Engagement Communication Impairments Behavioural and Psychological Symptoms of Dementia Screen Contents Ecologically Valid Viewing Environments Intersectoral Approach Artificial Intelligence Predictive Models of Well-Being
Offline virtual advertisement replacement in sports from uncalibrated video**
Principal investigators: Bouguila, Nizar
Time-sensitive non-parametric Bayesian approaches for events modeling, recognition and prediction
Principal investigators: Bouguila, Nizar
Apprentissage statistique hybride (génératif/discriminatif) de modèles multi-relationnels dynamiques et Applications
Principal investigators: Bouguila, Nizar
Profilage à partir des données hétérogènes du Web pour la cybersécurité
Principal investigators: Ziou, Djemel
Learning detailed models from images and videos using machine learning techniques and applications to graphics
Principal investigators: Bouguila, Nizar
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-Philippe Gouin and Nizar Bouguila: 1 shared paper
- Nizar Bouguila and Zachary Patterson: 1 shared paper
- Concordia Institute for Information Systems Engineering
- Psychology
- Concordia Institute for Information Systems Engineering (CIISE)
Co-authors at Concordia University, colored by department. Thicker lines mean more shared papers; select anyone to open their profile and their own map.
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