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Ammar Mechouche

A Hybrid System Using Symbolic and Numeric Knowledge for the Semantic Annotation of Sulco-Gyral Anatomy in Brain MRI Images
2009 · A. Mechouche, X. Morandi, et al. · IEEE Transactions on Medical Imaging · 18
Towards a Hybrid System Using an Ontology Enriched by Rules for the Semantic Annotation of Brain MRI Images
2007 · Ammar Mechouche, Christine Golbreich, et al. · Lecture notes in computer science · 15
A Hybrid System for the Semantic Annotation of Sulco-Gyral Anatomy in MRI Images
2008 · Ammar Mechouche, Xavier Morandi, et al. · Lecture notes in computer science · 10
OWL based formalisation of geographic databases specifications
2010 · Abadie, Nathalie, Mechouche, Ammar, et al. · HAL · 7
Data-Centric Helicopter Failure Anticipation: The MGB Oil Pressure Virtual Sensor Case
2019 · Nassia Daouayry, Ammar Mechouche, et al. · IEEE International Conference on Big Data (BigData) · 5
Alignment Based Measure of the Distance between Potentially Common Parts of Lightweight Ontologies
2010 · Ammar Mechouche, Nathalie Abadie, et al. · HAL · 5
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Semantic description of brain MRI images
2006 · Ammar Mechouche, Christine Golbreich, et al. · 5
Ontology-based annotation of brain MRI images.
2008 · Ammar Mechouche, Christine Golbreich, et al. · PubMed · 4
Ontology-Based Discovering of Geographic Databases Content
2011 · Ammar Mechouche, Nathalie Abadie, et al. · Lecture notes in geoinformation and cartography · 3
Towards an hybrid system for annotating brain MRI images
2006 · Ammar Mechouche, Christine Golbreich, et al. · 3
Ontology-Based Formal Specifications for User-Friendly Geospatial Data Discovery
2012 · Ammar Mechouche, Nathalie Abadie, et al. · Studies in computational intelligence · 2
Towards Learning Assurance for In-Flight Machine Learning-Based Helicopter Weight Estimator
2026 · Ammar Mechouche, Louis Fabre, et al. · Vertical Flight Society Forum · 1
Towards On-Board Implementation of ML-Based HelicopterWeight Estimator
2026 · Nicolas Valot, Louis Fabre, et al. · Vertical Flight Society Forum · 1
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Implementation of Airborne ML Models with Semantics Preservation
2025 · Nicolas Valot, Louis Fabre, et al. · IEEE/AIAA Digital Avionics Systems Conference (DASC) · 1
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From Large Time Series to Patterns Movies: Application to Airbus Helicopters Flight Data
2021 · Benjamin Chazelle, Pierre-Loic Maisonneuve, et al. · Lecture notes in computer science · 1
Contextualisation of Datasets for Better Classification Models: Application to Airbus Helicopters Flight Data
2020 · Marie Le Guilly, Nassia Daouayry, et al. · Communications in computer and information science · 1
Une mesure de distance dans l’espace des alignements entre parties potentiellement homologues de deux ontologies légères
2011 · Mechouche, Ammar, Abadie, Nathalie, et al. · HAL · 1
Vers un système hybride pour l'annotation sémantique d'images IRM du cerveau
2007 · Ammar Mechouche, Christine Golbreich, et al. · HAL · 1
Towards a Hybrid System for Brain MRI Images Description.
2006 · Ammar Mechouche, Christine Golbreich, et al. · OWL: Experiences and Directions · 1
Formal Target Aware Training of Machine Learning Models
2026 · Nicolas Valot, Louis Fabre, et al. · Lecture notes in computer science
Actes de la 12e conférence nationale sur les Applications Pratiques de l'Intelligence Artificielle: APIA 2026
2026 · Abadie, Nathalie, Mechouche, Ammar · HAL
Utilisation de l'IA pour l'aide au Mapping de Paramètres de Vol dans le Cadre de la Gestion de Données Aéronautiques chez Airbus Helicopters
2026 · Calvet, Thomas, Del-Cistia-Gallimard, Caroline, et al. · HAL
On the Trustworthiness of Machine Learning Models in Health and Usage Monitoring of In-Service Helicopters
2025 · Airbus Helicopters, Airbus Helicopters, et al. · Vertical Flight Society Forum
From Dampers Estimated Loads to In-Service Degradation Correlations
2024 · Ammar Mechouche, Konstanca Nikolajevic, et al. · Vertical Flight Society Forum
Helicopter Gearbox Mechanical Classification based on Vibration Pattern Recognition
2022 · Valerio Camerini, Ammar Mechouche, et al. · Vertical Flight Society Forum
Works count: 42
Citation count: 85
H-index: 5
I10-index: 3
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