Platform for Assessment and Monitoring of Infant Comfort. - Aomar Osmani; Massinissa Hamidi; Abdelghani Chibani (AAAI Fall Symposia, 2017)

Machine Learning Approach for Infant Cry Interpretation. - Aomar Osmani; Massinissa Hamidi; Abdelghani Chibani (ICTAI, 2017)

Hybrid and Convolutional Neural Networks for Locomotion Recognition. - Aomar Osmani; Massinissa Hamidi (UbiComp/ISWC Adjunct, 2018)

Bayesian Optimization of Neural Architectures for Human Activity Recognition. - Aomar Osmani; Massinissa Hamidi (Human Activity Sensing, 2019)

Monitoring of a Dynamic System Based on Autoencoders. - Aomar Osmani; Massinissa Hamidi; Salah Bouhouche (IJCAI, 2019)

A multi-view architecture for the SHL challenge. - Massinissa Hamidi; Aomar Osmani; Pegah Alizadeh (UbiComp/ISWC Adjunct, 2020)

Data Generation Process Modeling for Activity Recognition. - Massinissa Hamidi; Aomar Osmani (ECML/PKDD (4), 2020)

Combining Domain Knowledge and Deep Learning to Improve HAR Models. - Massinissa Hamidi; Aomar Osmani (Generalization with Deep Learning, 2021)

Augmented Experiment in Material Engineering Using Machine Learning. - Aomar Osmani; Massinissa Hamidi; Salah Bouhouche (AAAI, 2021)

Modélisation du processus de génération de données pour la reconnaissance d'activités. - Massinissa Hamidi; Aomar Osmani (EGC, 2021)

Hierarchical Learning of Dependent Concepts for Human Activity Recognition. - Aomar Osmani; Massinissa Hamidi; Pegah Alizadeh (PAKDD (2), 2021)

Description of Structural Biases and Associated Data in Sensor-Rich Environments. - Massinissa Hamidi; Aomar Osmani (CoRR, 2021)

Affinity-Based Hierarchical Learning of Dependent Concepts for Human Activity Recognition. - Aomar Osmani; Massinissa Hamidi; Pegah Alizadeh (CoRR, 2021)

Domain models for data sources integration in HAR. - Massinissa Hamidi; Aomar Osmani (Neurocomputing, 2021)

Human Activity Recognition: A Dynamic Inductive Bias Selection Perspective. - Massinissa Hamidi; Aomar Osmani (Sensors, 2021)

Clustering Approach to Solve Hierarchical Classification Problem Complexity. - Aomar Osmani; Massinissa Hamidi; Pegah Alizadeh (AAAI, 2022)

Multiview Representation Learning for Human Activity Recognition. - Massinissa Hamidi; Aomar Osmani; Lukmon Rasaq; Gülüstan Dogan 001; Nouran Alotaibi (CIVEMSA, 2022)

Reduction of the Position Bias via Multi-level Learning for Activity Recognition. - Aomar Osmani; Massinissa Hamidi (PAKDD (2), 2022)

Context Abstraction to Improve Decentralized Machine Learning in Structured Sensing Environments. - Massinissa Hamidi; Aomar Osmani (ECML/PKDD (3), 2022)

Metalearning guided by domain knowledge in distributed and decentralized applications. (Méta-apprentissage guidé par les connaissances du domaine). - Massinissa Hamidi (2022)

On the Necessity of Metalearning: Learning Suitable Parameterizations for Learning Processes. - Massinissa Hamidi; Aomar Osmani (CoRR, 2024)

Self-supervised learning on gene expression data. - Kevin Dradjat; Massinissa Hamidi; Pierre Bartet; Blaise Hanczar (CoRR, 2025)