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Massinissa Hamidi
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2020 – today
- 2024
- [i3]Massinissa Hamidi, Aomar Osmani:
On the Necessity of Metalearning: Learning Suitable Parameterizations for Learning Processes. CoRR abs/2401.00532 (2024) - 2022
- [b1]Massinissa Hamidi:
Metalearning guided by domain knowledge in distributed and decentralized applications. (Méta-apprentissage guidé par les connaissances du domaine). Paris 13 University, Villetaneuse, France, 2022 - [c13]Aomar Osmani, Massinissa Hamidi, Pegah Alizadeh:
Clustering Approach to Solve Hierarchical Classification Problem Complexity. AAAI 2022: 7904-7912 - [c12]Massinissa Hamidi, Aomar Osmani, Lukmon Rasaq, Gülüstan Dogan, Nouran Alotaibi:
Multiview Representation Learning for Human Activity Recognition. CIVEMSA 2022: 1-5 - [c11]Aomar Osmani, Massinissa Hamidi:
Reduction of the Position Bias via Multi-level Learning for Activity Recognition. PAKDD (2) 2022: 289-302 - [c10]Massinissa Hamidi, Aomar Osmani:
Context Abstraction to Improve Decentralized Machine Learning in Structured Sensing Environments. ECML/PKDD (3) 2022: 647-663 - 2021
- [j2]Massinissa Hamidi, Aomar Osmani:
Domain models for data sources integration in HAR. Neurocomputing 444: 244-259 (2021) - [j1]Massinissa Hamidi, Aomar Osmani:
Human Activity Recognition: A Dynamic Inductive Bias Selection Perspective. Sensors 21(21): 7278 (2021) - [c9]Aomar Osmani, Massinissa Hamidi, Salah Bouhouche:
Augmented Experiment in Material Engineering Using Machine Learning. AAAI 2021: 9251-9258 - [c8]Massinissa Hamidi, Aomar Osmani:
Modélisation du processus de génération de données pour la reconnaissance d'activités. EGC 2021: 405-412 - [c7]Aomar Osmani, Massinissa Hamidi, Pegah Alizadeh:
Hierarchical Learning of Dependent Concepts for Human Activity Recognition. PAKDD (2) 2021: 79-92 - [p2]Massinissa Hamidi, Aomar Osmani:
Combining Domain Knowledge and Deep Learning to Improve HAR Models. Generalization with Deep Learning 2021: 55-77 - [i2]Massinissa Hamidi, Aomar Osmani:
Description of Structural Biases and Associated Data in Sensor-Rich Environments. CoRR abs/2104.04885 (2021) - [i1]Aomar Osmani, Massinissa Hamidi, Pegah Alizadeh:
Affinity-Based Hierarchical Learning of Dependent Concepts for Human Activity Recognition. CoRR abs/2104.04889 (2021) - 2020
- [c6]Massinissa Hamidi, Aomar Osmani, Pegah Alizadeh:
A multi-view architecture for the SHL challenge. UbiComp/ISWC Adjunct 2020: 317-322 - [c5]Massinissa Hamidi, Aomar Osmani:
Data Generation Process Modeling for Activity Recognition. ECML/PKDD (4) 2020: 374-390
2010 – 2019
- 2019
- [c4]Aomar Osmani, Massinissa Hamidi, Salah Bouhouche:
Monitoring of a Dynamic System Based on Autoencoders. IJCAI 2019: 1836-1843 - [p1]Aomar Osmani, Massinissa Hamidi:
Bayesian Optimization of Neural Architectures for Human Activity Recognition. Human Activity Sensing 2019: 171-195 - 2018
- [c3]Aomar Osmani, Massinissa Hamidi:
Hybrid and Convolutional Neural Networks for Locomotion Recognition. UbiComp/ISWC Adjunct 2018: 1531-1540 - 2017
- [c2]Aomar Osmani, Massinissa Hamidi, Abdelghani Chibani:
Platform for Assessment and Monitoring of Infant Comfort. AAAI Fall Symposia 2017: 36-44 - [c1]Aomar Osmani, Massinissa Hamidi, Abdelghani Chibani:
Machine Learning Approach for Infant Cry Interpretation. ICTAI 2017: 182-186
Coauthor Index
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last updated on 2024-11-07 20:31 CET by the dblp team
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