Massinissa Hamidi

According to our database, Massinissa Hamidi authored at least 21 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

On the Necessity of Metalearning: Learning Suitable Parameterizations for Learning Processes.

Massinissa Hamidi, Aomar Osmani

CoRR, 2024

2022

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

Massinissa Hamidi

PhD thesis, 2022

Context Abstraction to Improve Decentralized Machine Learning in Structured Sensing Environments.

Massinissa Hamidi, Aomar Osmani

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Reduction of the Position Bias via Multi-level Learning for Activity Recognition.

Aomar Osmani, Massinissa Hamidi

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022

Multiview Representation Learning for Human Activity Recognition.

Massinissa Hamidi, Aomar Osmani, Lukmon Rasaq, Gülüstan Dogan, Nouran Alotaibi

Proceedings of the IEEE 9th International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications, 2022

Clustering Approach to Solve Hierarchical Classification Problem Complexity.

Aomar Osmani, Massinissa Hamidi, Pegah Alizadeh

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Human Activity Recognition: A Dynamic Inductive Bias Selection Perspective.

Massinissa Hamidi, Aomar Osmani

Sensors, 2021

Domain models for data sources integration in HAR.

Massinissa Hamidi, Aomar Osmani

Neurocomputing, 2021

Affinity-Based Hierarchical Learning of Dependent Concepts for Human Activity Recognition.

Aomar Osmani, Massinissa Hamidi, Pegah Alizadeh

CoRR, 2021

Description of Structural Biases and Associated Data in Sensor-Rich Environments.

Massinissa Hamidi, Aomar Osmani

CoRR, 2021

Hierarchical Learning of Dependent Concepts for Human Activity Recognition.

Aomar Osmani, Massinissa Hamidi, Pegah Alizadeh

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

Modélisation du processus de génération de données pour la reconnaissance d'activités.

Massinissa Hamidi, Aomar Osmani

Proceedings of the Extraction et Gestion des Connaissances, 2021

Augmented Experiment in Material Engineering Using Machine Learning.

Aomar Osmani, Massinissa Hamidi, Salah Bouhouche

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Combining Domain Knowledge and Deep Learning to Improve HAR Models.

Massinissa Hamidi, Aomar Osmani

Proceedings of the Generalization with Deep Learning: For Improvement on Sensing Capability, 2021

2020

Data Generation Process Modeling for Activity Recognition.

Massinissa Hamidi, Aomar Osmani

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science Track, 2020

A multi-view architecture for the SHL challenge.

Massinissa Hamidi, Aomar Osmani, Pegah Alizadeh

Proceedings of the UbiComp/ISWC '20: 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and 2020 ACM International Symposium on Wearable Computers, 2020

2019

Monitoring of a Dynamic System Based on Autoencoders.

Aomar Osmani, Massinissa Hamidi, Salah Bouhouche

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Bayesian Optimization of Neural Architectures for Human Activity Recognition.

Aomar Osmani, Massinissa Hamidi

Proceedings of the Human Activity Sensing - Corpus and Applications, 2019

2018

Hybrid and Convolutional Neural Networks for Locomotion Recognition.

Aomar Osmani, Massinissa Hamidi

Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers, 2018

2017

Machine Learning Approach for Infant Cry Interpretation.

Aomar Osmani, Massinissa Hamidi, Abdelghani Chibani

Proceedings of the 29th IEEE International Conference on Tools with Artificial Intelligence, 2017

Platform for Assessment and Monitoring of Infant Comfort.

Aomar Osmani, Massinissa Hamidi, Abdelghani Chibani

Proceedings of the 2017 AAAI Fall Symposia, Arlington, Virginia, USA, November 9-11, 2017, 2017