Reasoning about Generalized Intervals. - Philippe Balbiani; Jean-François Condotta; Luis Fariñas del Cerro; Aomar Osmani (AIMSA, 1998)

Modeling and Simulating Breakdown Situations in Telecommunicatiion Networks. - Aomar Osmani (IEA/AIE, 1999)

Introduction to Reasoning about Cyclic Intervals. - Aomar Osmani (IEA/AIE, 1999)

Model-Based-Diagnosis for Fault Management in Telecommunications Networks. - Aomar Osmani (AAAI/IAAI, 2000)

Simulating faults in telecommunication network: Reasoning about uncertain propagation of events. - Aomar Osmani; François Lévy (CATA, 2000)

A Constraint-Based Approach to Simulate Faults in Telecommunication Networks. - Aomar Osmani; François Lévy (IEA/AIE, 2000)

A Model for Reasoning about Topologic Relations between cyclic intervals. - Philippe Balbiani; Aomar Osmani (KR, 2000)

Distributed Model for an SDH Telecommunication Network Diagnosis. - Philippe Dague; Francine Krief; François Lévy; Aomar Osmani (IS, 2001)

Updating Data in GIS: How to Maintain Database Consistency? - Hakima Kadri-Dahmani; Aomar Osmani (ICEIS, 2002)

Modélisation d'un anneauSDH pour les besoins de la gestion de fautes. - Francine Krief; Aomar Osmani (Ann. des Télécommunications, 2002)

Optimal Approach for Temporal Patterns Discovery. - Khellaf Bouandas; Aomar Osmani (FLAIRS, 2003)

Computing Lower Bound for MAX-CSP Problems. - Hachemi Bennaceur; Aomar Osmani (IEA/AIE, 2003)

On the consistency of cardinality constraints in UML modelling. - Faouzi Boufarès; Hachemi Bennaceur; Aomar Osmani (CE, 2003)

Qualitative Point Sequential Patterns. - Aomar Osmani (KES, 2003)

Evolutive complex scheduling in interaction networks for quality improvment in geographical data base updating. - Hakima Kadri-Dahmani; Cyrille Bertelle; Gérard Duchamp; Aomar Osmani (ICECS, 2005)

bitSPADE: A Lattice-based Sequential Pattern Mining Algorithm Using Bitmap Representation. - Sujeevan Aseervatham; Aomar Osmani; Emmanuel Viennet (ICDM, 2006)

On the Connection Between the Phase Transition of the Covering Test and the Learning Success Rate. - Érick Alphonse; Aomar Osmani (ILP, 2006)

Mining Association Rules in Temporal Sequences. - Khellaf Bouandas; Aomar Osmani (CIDM, 2007)

Phase transition and heuristic search in relational learning. - Érick Alphonse; Aomar Osmani (ICMLA, 2007)

A Model to Study Phase Transition and Plateaus in Relational Learning. - Érick Alphonse; Aomar Osmani (ILP, 2008)

Emergent property of consistent updated geographical database. - Hakima Kadri-Dahmani; Cyrille Bertelle; Gérard Henry Edmond Duchamp; Aomar Osmani (Int. J. Model. Identif. Control., 2008)

On the connection between the phase transition of the covering test and the learning success rate in ILP. - Érick Alphonse; Aomar Osmani (Mach. Learn., 2008)

Empirical Study of Relational Learning Algorithms in the Phase Transition Framework. - Érick Alphonse; Aomar Osmani (ECML/PKDD (1), 2009)

Data Warehouse Development Using MDA and 2TUP. - Moez Essaidi; Aomar Osmani (SEDE, 2009)

Towards Model-driven Data Warehouse Automation using Machine Learning. - Moez Essaidi; Aomar Osmani (IJCCI (ICEC), 2010)

Model driven data warehouse using MDA and 2TUP. - Moez Essaidi; Aomar Osmani (J. Comput. Methods Sci. Eng., 2010)

Transformation Learning in the Context of Model-Driven Data Warehouse: An Experimental Design Based on Inductive Logic Programming. - Moez Essaidi; Aomar Osmani; Céline Rouveirol (ICTAI, 2011)

Learning Dependent-Concepts in ILP: Application to Model-Driven Data Warehouses. - Moez Essaidi; Aomar Osmani; Céline Rouveirol (ILP (Late Breaking Papers), 2011)

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)

A GRC-Centric Approach for Enhancing Management Process of IoT-Based Health Institution. - Fouzi Lezzar; Djamel Benmerzoug; Ilham Kitouni; Aomar Osmani (MSPN, 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)

Hapicare: A Healthcare Monitoring System with Self-Adaptive Coaching using Probabilistic Reasoning. - Hossain Kordestani; Roghayeh Mojarad; Abdelghani Chibani; Aomar Osmani; Yacine Amirat; Kamel Barkaoui; Wagdy Zahran (AICCSA, 2019)

Calcul d'une politique déterministe dans un MDP avec récompenses imprécises. - Pegah Alizadeh; Aomar Osmani; Emiliano Traversi (EGC, 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)

Equational Model Guided by Real-time Sensor Data to Monitor Industrial Robots. - Aomar Osmani; Pegah Alizadeh; Christophe Rodrigues (CASE, 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)

Deterministic policies based on maximum regrets in MDPs with imprecise rewards. - Pegah Alizadeh; Emiliano Traversi; Aomar Osmani (AI Commun., 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)

Reinforcement Learning for Interactive QoS-Aware Services Composition. - Pegah Alizadeh; Aomar Osmani; Mohamed Essaid Khanouche; Abdelghani Chibani; Yacine Amirat (IEEE Syst. J., 2021)

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

Improving Imitation Learning by Merging Experts Trajectories. - Pegah Alizadeh; Aomar Osmani; Sammy Taleb (CIKM, 2022)

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

Multimodal Evaluation Method for Sound Event Detection. - Seyed M. R. Modaresi; Aomar Osmani; Mohammadreza Razzazi; Abdelghani Chibani (ICASSP, 2022)

Evaluation of Early Diagnosis of COVID-19 Algorithms. - Seyed M. R. Modaresi; Aomar Osmani; Mohammadreza Razzazi; Abdelghani Chibani (ICTAI, 2022)

Uniform Evaluation of Properties in Activity Recognition. - Seyed M. R. Modaresi; Aomar Osmani; Mohammadreza Razzazi; Abdelghani Chibani (PAKDD (2), 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)

Multi-Modal Evaluation Approach for Medical Image Segmentation. - Seyed M. R. Modaresi; Aomar Osmani; Mohammadreza Razzazi; Abdelghani Chibani (CoRR, 2023)

Enhancing Decision-Making in Energy Management Systems Through Action-Independent Dynamics Learning. - Théo Zangato; Aomar Osmani; Pegah Alizadeh (ECAI, 2024)

Optimisation de la Gestion de l'Énergie par l'Apprentissage par Renforcement et le Clustering de Séries Temporelles pour la Génération de Politiques Individualisées. - Théo Zangato; Aomar Osmani; Pegah Alizadeh (EGC, 2024)

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

Boosting Medical Image Segmentation Performance with Adaptive Convolution Layer. - Seyed M. R. Modaresi; Aomar Osmani; Mohammadreza Razzazi; Abdelghani Chibani (CoRR, 2024)

Meta-Decomposition: Dynamic Segmentation Approach Selection in IoT-based Activity Recognition. - Seyed M. R. Modaresi; Aomar Osmani; Mohammadreza Razzazi; Abdelghani Chibani (CoRR, 2024)

Amélioration de l'apprentissage par renforcement appliquée à la gestion de l'énergie par l'apprentissage des dynamiques indépendantes des actions. - Théo Zangato; Aomar Osmani; Pegah Alizadeh (EGC, 2025)

Data-Driven Policy Mapping for Safe RL-based Energy Management Systems. - Théo Zangato; Aomar Osmani; Pegah Alizadeh (CoRR, 2025)