This profile is built from public research funding records (CIHR, NSERC and SSHRC) and PubMed. We have not imported them from a Concordia University directory, so their courses may be missing. Find their university profile.
Research
Latest papers
Clustering and Interpretability of Residential Electricity Demand Profiles.
Sensors (Basel, Switzerland) · 2025
Deep clustering analysis via variational autoencoder with Gamma mixture latent embeddings.
Neural networks : the official journal of the International Neural Network Society · 2025
Affinity-Driven Transfer Learning for Load Forecasting.
Sensors (Basel, Switzerland) · 2024
Latest funding
- $12,500
Energy Efficiency Recommendation System Based on a Unified Explainable Cooperative Machine Learning Framework
NSERC · 2024 · Principal investigator
- $34,000
Energy Efficiency Recommendation System Based on a Unified Explainable Cooperative Machine Learning Framework
NSERC · 2024 · Principal investigator
5 publications.
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
Affinity-Driven Transfer Learning for Load Forecasting.
Rebei A, Amayri M, Bouguila N
Unsupervised Mixture Models on the Edge for Smart Energy Consumption Segmentation with Feature Saliency.
Al-Bazzaz H, Azam M, Amayri M, Bouguila N
Cross-collection latent Beta-Liouville allocation model training with privacy protection and applications.
Luo Z, Amayri M, Fan W, Bouguila N
Energy Efficiency Recommendation System Based on a Unified Explainable Cooperative Machine Learning Framework
Principal investigators: Amayri, Manar
Keywords: machine learning; explainable ai; human-in-the loop; energy management system; smart buildings; interactive/cooperative learning; activity recognition; load forecasting; recommendation systems; load disaggregation
Energy Efficiency Recommendation System Based on a Unified Explainable Cooperative Machine Learning Framework
Principal investigators: Amayri, Manar
Keywords: machine learning; explainable ai; human-in-the loop; energy management system; smart buildings; interactive/cooperative learning; activity recognition; load forecasting; recommendation systems; load disaggregation
From CIHR, NSERC and SSHRC funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998, including their latest published competition results.
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