Aomar Osmani - researchr alias

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Viewing Publication 1 - 53 from 53

2022

Improving Imitation Learning by Merging Experts TrajectoriesPegah Alizadeh, Aomar Osmani, Sammy Taleb. CIKM 2022: 3796-3800 [doi]

Context Abstraction to Improve Decentralized Machine Learning in Structured Sensing EnvironmentsMassinissa Hamidi, Aomar Osmani. pkdd 2023: 647-663 [doi]

Multiview Representation Learning for Human Activity RecognitionMassinissa Hamidi, Aomar Osmani, Lukmon Rasaq, Gülüstan Dogan, Nouran Alotaibi. civemsa 2022: 1-5 [doi]

Uniform Evaluation of Properties in Activity RecognitionSeyed M. R. Modaresi, Aomar Osmani, Mohammadreza Razzazi, Abdelghani Chibani. pakdd 2022: 83-95 [doi]

Evaluation of Early Diagnosis of COVID-19 AlgorithmsSeyed M. R. Modaresi, Aomar Osmani, Mohammadreza Razzazi, Abdelghani Chibani. ictai 2022: 1277-1282 [doi]

Multimodal Evaluation Method for Sound Event DetectionSeyed M. R. Modaresi, Aomar Osmani, Mohammadreza Razzazi, Abdelghani Chibani. icassp 2022: 1026-1030 [doi]

Reduction of the Position Bias via Multi-level Learning for Activity RecognitionAomar Osmani, Massinissa Hamidi. pakdd 2022: 289-302 [doi]

Clustering Approach to Solve Hierarchical Classification Problem ComplexityAomar Osmani, Massinissa Hamidi, Pegah Alizadeh. AAAI 2022: 7904-7912 [doi]

2021

Deterministic policies based on maximum regrets in MDPs with imprecise rewardsPegah Alizadeh, Emiliano Traversi, Aomar Osmani. aicom, 34(4):229-244, 2021. [doi]

Reinforcement Learning for Interactive QoS-Aware Services CompositionPegah Alizadeh, Aomar Osmani, Mohamed Essaid Khanouche, Abdelghani Chibani, Yacine Amirat. sj, 15(1):1098-1108, 2021. [doi]

Combining Domain Knowledge and Deep Learning to Improve HAR ModelsMassinissa Hamidi, Aomar Osmani. In Zhenghua Chen, Min Wu 0008, Xiaoli Li 0001, editors, Generalization with Deep Learning: For Improvement on Sensing Capability. pages 55-77, WorldScientific, 2021. [doi]

Modélisation du processus de génération de données pour la reconnaissance d'activitésMassinissa Hamidi, Aomar Osmani. f-egc 2021: 405-412 [doi]

Human Activity Recognition: A Dynamic Inductive Bias Selection PerspectiveMassinissa Hamidi, Aomar Osmani. sensors, 21(21):7278, 2021. [doi]

Domain models for data sources integration in HARMassinissa Hamidi, Aomar Osmani. ijon, 444:244-259, 2021. [doi]

Augmented Experiment in Material Engineering Using Machine LearningAomar Osmani, Massinissa Hamidi, Salah Bouhouche. AAAI 2021: 9251-9258 [doi]

Hierarchical Learning of Dependent Concepts for Human Activity RecognitionAomar Osmani, Massinissa Hamidi, Pegah Alizadeh. pakdd 2021: 79-92 [doi]

Equational Model Guided by Real-time Sensor Data to Monitor Industrial RobotsAomar Osmani, Pegah Alizadeh, Christophe Rodrigues. case 2021: 1848-1854 [doi]

2020

Data Generation Process Modeling for Activity RecognitionMassinissa Hamidi, Aomar Osmani. pkdd 2021: 374-390 [doi]

A multi-view architecture for the SHL challengeMassinissa Hamidi, Aomar Osmani, Pegah Alizadeh. huc 2020: 317-322 [doi]

2019

2018

Hybrid and Convolutional Neural Networks for Locomotion RecognitionAomar Osmani, Massinissa Hamidi. huc 2018: 1531-1540 [doi]

2017

A GRC-Centric Approach for Enhancing Management Process of IoT-Based Health InstitutionFouzi Lezzar, Djamel Benmerzoug, Ilham Kitouni, Aomar Osmani. mspn 2017: 207-221 [doi]

Machine Learning Approach for Infant Cry InterpretationAomar Osmani, Massinissa Hamidi, Abdelghani Chibani. ictai 2017: 182-186 [doi]

Platform for Assessment and Monitoring of Infant ComfortAomar Osmani, Massinissa Hamidi, Abdelghani Chibani. aaaifs 2017: 36-44 [doi]

2011

Transformation Learning in the Context of Model-Driven Data Warehouse: An Experimental Design Based on Inductive Logic ProgrammingMoez Essaidi, Aomar Osmani, Céline Rouveirol. ictai 2011: 693-700 [doi]

Learning Dependent-Concepts in ILP: Application to Model-Driven Data WarehousesMoez Essaidi, Aomar Osmani, Céline Rouveirol. ilp 2014: 151-172 [doi]

2010

Towards Model-driven Data Warehouse Automation using Machine LearningMoez Essaidi, Aomar Osmani. ijcci 2010: 380-383

Model driven data warehouse using MDA and 2TUPMoez Essaidi, Aomar Osmani. jcmse, 10(3-6):119-134, 2010. [doi]

2009

Data Warehouse Development Using MDA and 2TUPMoez Essaidi, Aomar Osmani. sede 2009: 138-143

Empirical Study of Relational Learning Algorithms in the Phase Transition FrameworkÃ‰rick Alphonse, Aomar Osmani. pkdd 2009: 51-66 [doi]

2008

Emergent property of consistent updated geographical databaseHakima Kadri-Dahmani, Cyrille Bertelle, Gérard Henry Edmond Duchamp, Aomar Osmani. ijmic, 3(1):58-68, 2008. [doi]

A Model to Study Phase Transition and Plateaus in Relational LearningÉrick Alphonse, Aomar Osmani. ilp 2008: 6-23 [doi]

On the connection between the phase transition of the covering test and the learning success rate in ILPÉrick Alphonse, Aomar Osmani. ml, 70(2-3):135-150, 2008. [doi]

2007

Mining Association Rules in Temporal SequencesKhellaf Bouandas, Aomar Osmani. cidm 2007: 610-615 [doi]

Phase transition and heuristic search in relational learningÃ‰rick Alphonse, Aomar Osmani. icmla 2008: 112-117 [doi]

2006

bitSPADE: A Lattice-based Sequential Pattern Mining Algorithm Using Bitmap RepresentationSujeevan Aseervatham, Aomar Osmani, Emmanuel Viennet. icdm 2006: 792-797 [doi]

On the Connection Between the Phase Transition of the Covering Test and the Learning Success RateÉrick Alphonse, Aomar Osmani. ilp 2007: 27-29 [doi]

2005

Evolutive complex scheduling in interaction networks for quality improvment in geographical data base updatingHakima Kadri-Dahmani, Cyrille Bertelle, Gérard Duchamp, Aomar Osmani. icecsys 2005: 1-4 [doi]

2003

Computing Lower Bound for MAX-CSP ProblemsHachemi Bannaceur, Aomar Osmani. ieaaie 2003: 614-624 [doi]

Optimal Approach for Temporal Patterns DiscoveryKhellaf Bouandas, Aomar Osmani. flairs 2003: 455-469

Qualitative Point Sequential PatternsAomar Osmani. kes 2003: 485-492 [doi]

2002

Modélisation d un anneauSDH pour les besoins de la gestion de fautesFrancine Krief, Aomar Osmani. adt, 57(1-2):125-149, 2002. [doi]

2001

Distributed Model for an SDH Telecommunication Network DiagnosisPhilippe Dague, Francine Krief, François Lévy, Aomar Osmani. ISCAicis 2001: 122-125

2000

A Model for Reasoning about Topologic Relations between cyclic intervalsPhilippe Balbiani, Aomar Osmani. kr 2000: 378-385

Simulating faults in telecommunication network: Reasoning about uncertain propagation of eventsAomar Osmani, François Lévy. cata 2000: 15-19

Model-Based-Diagnosis for Fault Management in Telecommunications NetworksAomar Osmani. AAAI 2000: 1088

A Constraint-Based Approach to Simulate Faults in Telecommunication NetworksAomar Osmani, François Lévy. ieaaie 2000: 463-473 [doi]

1999

Introduction to Reasoning about Cyclic IntervalsAomar Osmani. ieaaie 1999: 698-706

Modeling and Simulating Breakdown Situations in Telecommunicatiion NetworksAomar Osmani. ieaaie 1999: 679-687

1998

Reasoning about Generalized IntervalsPhilippe Balbiani, Jean-François Condotta, Luis Fariñas del Cerro, Aomar Osmani. aimsa 1998: 50-61 [doi]

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