315 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Université d'OrléansFR26 papers
- Institut de Mathématiques de ToulouseFR9 papers
- Centre National de la Recherche ScientifiqueFR8 papers
- Institut National des Sciences Appliquées de ToulouseFR6 papers
- Université Toulouse III - Paul SabatierFR6 papers
- Électricité de France (France)FR5 papers
- Laboratoire de Probabilités, Statistique et ModélisationFR5 papers
- Laboratoire de Recherche en InformatiqueFR5 papers
- Institut National des Sciences Appliquées Centre Val de LoireFR4 papers
- Sinclair PharmaGB4 papers
- Suez (France)FR4 papers
- Université Paris-SaclayFR4 papers
65 papers
AK-MCS-C2 : Active Kriging Monte Carlo Simulation method with conformal certification for failure probability estimation
Edgar Jaber, Vincent Chabridon, Mathilde Mougeot
We introduce a novel active-learning framework for failure probability estimation in structural reliability analysis that integrates Active Kriging Monte Carlo simulation with conf…
What They Saw, Not Just Where They Looked: Semantic Scanpath Similarity via VLMs and NLP metric
Mohamed Amine Kerkouri, Marouane Tliba, Bin Wang +3
Scanpath similarity metrics are central to eye-movement research, yet existing methods predominantly evaluate spatial and temporal alignment while neglecting semantic equivalence b…
Electroactive morphing effects on the aerodynamic performance through wobulation around an A320 wing with vibrating trailing edge at high Reynolds number
C. Rouaix, C. Jiménez-Navarro, M. Carvalho +9
This study aims to investigate the effects of electroactive morphing on a 70cm chord A320 wing by means of near trailing edge slight deformation and vibration. Wing morphing is per…
Fourier Analysis on the Boolean Hypercube via Hoeffding Functional Decomposition
Baptiste Ferrere, Nicolas Bousquet, Fabrice Gamboa +2
Fourier analysis on the Boolean hypercube is fundamentally defined as the orthogonal decomposition of the space of pseudo-Boolean functions with respect to the uniform probability…
Robust Sparse Subspace Tracking from Corrupted Data Observations
Ta Giang Thuy Loan, Hoang-Lan Nguyen, Nguyen Thi Ngoc Lan +5
Subspace tracking is a fundamental problem in signal processing, where the goal is to estimate and track the underlying subspace that spans a sequence of data streams over time. In…
Fusion of heterogeneous data for robust degradation prognostics
Edgar Jaber, Emmanuel Remy, Vincent Chabridon +2
Assessing the degradation state of an industrial asset first requires evaluating its current condition and then to project the forecast model trajectory to a predefined prognostic…
Robustness tests for biomedical foundation models should tailor to specifications
R. Patrick Xian, Noah R. Baker, Tom David +5
The rise of biomedical foundation models creates new hurdles in model testing and authorization, given their broad capabilities and susceptibility to complex distribution shifts. W…
Conformal Approach To Gaussian Process Surrogate Evaluation With Coverage Guarantees
Edgar Jaber, Vincent Blot, Nicolas Brunel +6
Gaussian processes (GPs) are a Bayesian machine learning approach widely used to construct surrogate models for the uncertainty quantification of computer simulation codes in indus…
Sensitivity Analyses of a Multi-Physics Long-Term Clogging Model For Steam Generators
Edgar Jaber, Vincent Chabridon, Emmanuel Remy +4
Long-term operation of nuclear steam generators can result in the occurrence of clogging, a deposition phenomenon that may increase the risk of mechanical and vibration loadings on…
On the Semi-Blind Mutually Referenced Equalizers for MIMO Systems
Do Hai Son, Karim Abed-Meraim, Tran Trong Duy +2
Minimizing training overhead in channel estimation is a crucial challenge in wireless communication systems. This paper presents an extension of the traditional blind algorithm, ca…
Hoeffding decomposition of black-box models with dependent inputs
Marouane Il Idrissi, Nicolas Bousquet, Fabrice Gamboa +2
Performing an additive decomposition of arbitrary functions of random elements is paramount for global sensitivity analysis and, therefore, the interpretation of black-box models.…
A comparison between Bayesian and ordinary kriging based on validation criteria: application to radiological characterisation
Martin Wieskotten, Marielle Crozet, Bertrand Iooss +2
In decommissioning projects of nuclear facilities, the radiological characterisation step aims to estimate the quantity and spatial distribution of different radionuclides. To carr…
Transformer with Selective Shuffled Position Embedding and Key-Patch Exchange Strategy for Early Detection of Knee Osteoarthritis
Zhe Wang, Aladine Chetouani, Mohamed Jarraya +2
Knee OsteoArthritis (KOA) is a widespread musculoskeletal disorder that can severely impact the mobility of older individuals. Insufficient medical data presents a significant obst…
BASICS: Broad quality Assessment of Static point clouds In Compression Scenarios
Ali Ak, Emin Zerman, Maurice Quach +4
Point clouds have become increasingly prevalent in representing 3D scenes within virtual environments, alongside 3D meshes. Their ease of capture has facilitated a wide array of ap…
On the coalitional decomposition of parameters of interest
Marouane Il Idrissi, Nicolas Bousquet, Fabrice Gamboa +2
Understanding the behavior of a black-box model with probabilistic inputs can be based on the decomposition of a parameter of interest (e.g., its variance) into contributions attri…
End-to-end deep multi-score model for No-reference stereoscopic image quality assessment
Oussama Messai, Aladine Chetouani
Deep learning-based quality metrics have recently given significant improvement in Image Quality Assessment (IQA). In the field of stereoscopic vision, information is evenly distri…
Proportional marginal effects for global sensitivity analysis
Margot Herin, Marouane Il Idrissi, Vincent Chabridon +1
Performing (variance-based) global sensitivity analysis (GSA) with dependent inputs has recently benefited from cooperative game theory concepts.By using this theory, despite the p…
Quantile-constrained Wasserstein projections for robust interpretability of numerical and machine learning models
Marouane Il Idrissi, Nicolas Bousquet, Fabrice Gamboa +2
Robustness studies of black-box models is recognized as a necessary task for numerical models based on structural equations and predictive models learned from data. These studies m…
Fusion of Satellite Images and Weather Data with Transformer Networks for Downy Mildew Disease Detection
William Maillet, Maryam Ouhami, Adel Hafiane
Crop diseases significantly affect the quantity and quality of agricultural production. In a context where the goal of precision agriculture is to minimize or even avoid the use of…
Modelling and Detection of Driver's Fatigue using Ontology
Alexandre Lambert, Manolo Dulva Hina, Celine Barth +2
Road accidents have become the eight leading cause of death all over the world. Lots of these accidents are due to a driver's inattention or lack of focus, due to fatigue. Various…
Generative models-based data labeling for deep networks regression: application to seed maturity estimation from UAV multispectral images
Eric Dericquebourg, Adel Hafiane, Raphael Canals
Monitoring seed maturity is an increasing challenge in agriculture due to climate change and more restrictive practices. Seeds monitoring in the field is essential to optimize the…
Dealing with complex routing requirements using an MCDM based approach
Mohamed Redha Bouakouk, Abdelkrim Abdelli, Lynda Mokdad +1
The last decade has witnessed an ever-growing user demand for a better QoS (Quality Of Service) and the fast growth of connected devices still put high pressure on the legacy netwo…
New penalized criteria for smooth non-negative tensor factorization with missing entries
Amaury Durand, François Roueff, Jean-Marc Jicquel +1
Tensor factorization models are widely used in many applied fields such as chemometrics, psychometrics, computer vision or communication networks. Real life data collection is ofte…
Vision Transformers For Weeds and Crops Classification Of High Resolution UAV Images
Reenul Reedha, Eric Dericquebourg, Raphael Canals +1
Crop and weed monitoring is an important challenge for agriculture and food production nowadays. Thanks to recent advances in data acquisition and computation technologies, agricul…