Aomar Osmani

Orcid: 0000-0002-1778-6527

According to our database1, Aomar Osmani authored at least 63 papers between 1998 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Meta-Decomposition: Dynamic Segmentation Approach Selection in IoT-based Activity Recognition.
CoRR, 2024

Boosting Medical Image Segmentation Performance with Adaptive Convolution Layer.
CoRR, 2024

On the Necessity of Metalearning: Learning Suitable Parameterizations for Learning Processes.
CoRR, 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.
Proceedings of the Extraction et Gestion des Connaissances, 2024

Enhancing Decision-Making in Energy Management Systems Through Action-Independent Dynamics Learning.
Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

2023
Multi-Modal Evaluation Approach for Medical Image Segmentation.
CoRR, 2023

2022
Context Abstraction to Improve Decentralized Machine Learning in Structured Sensing Environments.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Reduction of the Position Bias via Multi-level Learning for Activity Recognition.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022

Uniform Evaluation of Properties in Activity Recognition.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022

Evaluation of Early Diagnosis of COVID-19 Algorithms.
Proceedings of the 34th IEEE International Conference on Tools with Artificial Intelligence, 2022

Multimodal Evaluation Method for Sound Event Detection.
Proceedings of the IEEE International Conference on Acoustics, 2022

Multiview Representation Learning for Human Activity Recognition.
Proceedings of the IEEE 9th International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications, 2022

Improving Imitation Learning by Merging Experts Trajectories.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Clustering Approach to Solve Hierarchical Classification Problem Complexity.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Reinforcement Learning for Interactive QoS-Aware Services Composition.
IEEE Syst. J., 2021

Human Activity Recognition: A Dynamic Inductive Bias Selection Perspective.
Sensors, 2021

Domain models for data sources integration in HAR.
Neurocomputing, 2021

Affinity-Based Hierarchical Learning of Dependent Concepts for Human Activity Recognition.
CoRR, 2021

Description of Structural Biases and Associated Data in Sensor-Rich Environments.
CoRR, 2021

Deterministic policies based on maximum regrets in MDPs with imprecise rewards.
AI Commun., 2021

Hierarchical Learning of Dependent Concepts for Human Activity Recognition.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

Modélisation du processus de génération de données pour la reconnaissance d'activités.
Proceedings of the Extraction et Gestion des Connaissances, 2021

Equational Model Guided by Real-time Sensor Data to Monitor Industrial Robots.
Proceedings of the 17th IEEE International Conference on Automation Science and Engineering, 2021

Augmented Experiment in Material Engineering Using Machine Learning.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Combining Domain Knowledge and Deep Learning to Improve HAR Models.
Proceedings of the Generalization with Deep Learning: For Improvement on Sensing Capability, 2021

2020
Data Generation Process Modeling for Activity Recognition.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science Track, 2020

A multi-view architecture for the SHL challenge.
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.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Calcul d'une politique déterministe dans un MDP avec récompenses imprécises.
Proceedings of the Extraction et Gestion des connaissances, 2019

Hapicare: A Healthcare Monitoring System with Self-Adaptive Coaching using Probabilistic Reasoning.
Proceedings of the 16th IEEE/ACS International Conference on Computer Systems and Applications, 2019

Bayesian Optimization of Neural Architectures for Human Activity Recognition.
Proceedings of the Human Activity Sensing - Corpus and Applications, 2019

2018
Hybrid and Convolutional Neural Networks for Locomotion Recognition.
Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers, 2018

2017
A GRC-Centric Approach for Enhancing Management Process of IoT-Based Health Institution.
Proceedings of the Mobile, Secure, and Programmable Networking, 2017

Machine Learning Approach for Infant Cry Interpretation.
Proceedings of the 29th IEEE International Conference on Tools with Artificial Intelligence, 2017

Platform for Assessment and Monitoring of Infant Comfort.
Proceedings of the 2017 AAAI Fall Symposia, Arlington, Virginia, USA, November 9-11, 2017, 2017

2011
Learning Dependent-Concepts in ILP: Application to Model-Driven Data Warehouses.
Proceedings of the Latest Advances in Inductive Logic Programming, 2011

Transformation Learning in the Context of Model-Driven Data Warehouse: An Experimental Design Based on Inductive Logic Programming.
Proceedings of the IEEE 23rd International Conference on Tools with Artificial Intelligence, 2011

2010
Model driven data warehouse using MDA and 2TUP.
J. Comput. Methods Sci. Eng., 2010

Towards Model-driven Data Warehouse Automation using Machine Learning.
Proceedings of the ICEC 2010 - Proceedings of the International Conference on Evolutionary Computation, [part of the International Joint Conference on Computational Intelligence IJCCI 2010], Valencia, Spain, October 24, 2010

2009
Data Warehouse Development Using MDA and 2TUP.
Proceedings of the 18th International Conference on Software Engineering and Data Engineering (SEDE-2009), 2009

Empirical Study of Relational Learning Algorithms in the Phase Transition Framework.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2009

2008
On the connection between the phase transition of the covering test and the learning success rate in ILP.
Mach. Learn., 2008

Emergent property of consistent updated geographical database.
Int. J. Model. Identif. Control., 2008

A Model to Study Phase Transition and Plateaus in Relational Learning.
Proceedings of the Inductive Logic Programming, 18th International Conference, 2008

2007
Phase transition and heuristic search in relational learning.
Proceedings of the Sixth International Conference on Machine Learning and Applications, 2007

Mining Association Rules in Temporal Sequences.
Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2007

2006
On the Connection Between the Phase Transition of the Covering Test and the Learning Success Rate.
Proceedings of the Inductive Logic Programming, 16th International Conference, 2006

bitSPADE: A Lattice-based Sequential Pattern Mining Algorithm Using Bitmap Representation.
Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

2005
Evolutive complex scheduling in interaction networks for quality improvment in geographical data base updating.
Proceedings of the 12th IEEE International Conference on Electronics, 2005

2003
Qualitative Point Sequential Patterns.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2003

On the consistency of cardinality constraints in UML modelling.
Proceedings of the Enhanced Interoperable Systems. Proceedings of the 10th ISPE International Conference on Concurrent Engineering (ISPE CE 2003), 2003

Computing Lower Bound for MAX-CSP Problems.
Proceedings of the Developments in Applied Artificial Intelligence, 2003

Optimal Approach for Temporal Patterns Discovery.
Proceedings of the Sixteenth International Florida Artificial Intelligence Research Society Conference, 2003

2002
Modélisation d'un anneauSDH pour les besoins de la gestion de fautes.
Ann. des Télécommunications, 2002

Updating Data in GIS: How to Maintain Database Consistency?
Proceedings of the ICEIS 2002, 2002

2001
Distributed Model for an SDH Telecommunication Network Diagnosis.
Proceedings of the ISCA 10th International Conference on Intelligent Systems, 2001

2000
A Model for Reasoning about Topologic Relations between cyclic intervals.
Proceedings of the KR 2000, 2000

A Constraint-Based Approach to Simulate Faults in Telecommunication Networks.
Proceedings of the Intelligent Problem Solving, 2000

Simulating faults in telecommunication network: Reasoning about uncertain propagation of events.
Proceedings of the ISCA 15th International Conference Computers and Their Applications, 2000

Model-Based-Diagnosis for Fault Management in Telecommunications Networks.
Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on on Innovative Applications of Artificial Intelligence, July 30, 2000

1999
Introduction to Reasoning about Cyclic Intervals.
Proceedings of the Multiple Approaches to Intelligent Systems, 1999

Modeling and Simulating Breakdown Situations in Telecommunicatiion Networks.
Proceedings of the Multiple Approaches to Intelligent Systems, 1999

1998
Reasoning about Generalized Intervals.
Proceedings of the Artificial Intelligence: Methodology, 1998


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