Search Results - "Pasdeloup, Bastien"

Characterization and Inference of Graph Diffusion Processes From Observations of Stationary Signals by Pasdeloup, Bastien, Gripon, Vincent, Mercier, Gregoire, Pastor, Dominique, Rabbat, Michael G.

“…Many tools from the field of graph signal processing exploit knowledge of the underlying graph's structure (e.g., as encoded in the Laplacian matrix) to…”
Get full text

Machine learning for pacemaker implantation prediction after TAVI using multimodal imaging data by El Ouahidi, Amine, El Ouahidi, Yassine, Nicol, Pierre-Philippe, Hannachi, Sinda, Benic, Clément, Mansourati, Jacques, Pasdeloup, Bastien, Didier, Romain

“…Pacemaker implantation (PMI) after transcatheter aortic valve implantation (TAVI) is a common complication. While computed tomography (CT) scan data are known…”
Get full text

A Strong and Simple Deep Learning Baseline for BCI Motor Imagery Decoding by El Ouahidi, Yassine, Gripon, Vincent, Pasdeloup, Bastien, Bouallegue, Ghaith, Farrugia, Nicolas, Lioi, Giulia

“…We propose EEG-SimpleConv, a straightforward 1D convolutional neural network for Motor Imagery decoding in BCI. Our main motivation is to propose a simple and…”
Get full text

Easy—Ensemble Augmented-Shot-Y-Shaped Learning: State-of-the-Art Few-Shot Classification with Simple Components by Bendou, Yassir, Hu, Yuqing, Lafargue, Raphael, Lioi, Giulia, Pasdeloup, Bastien, Pateux, Stéphane, Gripon, Vincent

“…Few-shot classification aims at leveraging knowledge learned in a deep learning model, in order to obtain good classification performance on new problems,…”
Get full text

Spatial Graph Signal Interpolation with an Application for Merging BCI Datasets with Various Dimensionalities by Ouahidi, Yassine El, Drumetz, Lucas, Lioi, Giulia, Farrugia, Nicolas, Pasdeloup, Bastien, Gripon, Vincent

“…BCI Motor Imagery datasets usually are small and have different electrodes setups. When training a Deep Neural Network, one may want to capitalize on all these…”
Get full text

Topology reduction through machine learning to accelerate dynamic simulation of district heating by Rodrigue, Dubon, Mabrouk, Mohamed Tahar, Pasdeloup, Bastien, Meyer, Patrick, Lacarrière, Bruno

“…District heating networks (DHNs) provide an efficient heat distribution solution in urban areas, accomplished through interconnected and insulated pipes…”
Get full text

Learning to select operators in meta-heuristics: An integration of Q-learning into the iterated greedy algorithm for the permutation flowshop scheduling problem by Karimi-Mamaghan, Maryam, Mohammadi, Mehrdad, Pasdeloup, Bastien, Meyer, Patrick

“…•Incorporating multiple perturbation operators into the Iterated Greedy algorithm.•Adaptively selecting the perturbation operators using Q-learning…”
Get full text

A Statistical Model for Predicting Generalization in Few-Shot Classification by Bendou, Yassir, Gripon, Vincent, Pasdeloup, Bastien, Lioi, Giulia, Mauch, Lukas, Uhlich, Stefan, Cardinaux, Fabien, Hacene, Ghouthi Boukli, Garcia, Javier Alonso

“…The estimation of the generalization error of classifiers often relies on a validation set. Such a set is hardly available in few-shot learning scenarios, a…”
Get full text

A metaheuristic for inferring a ranking model based on multiple reference profiles by Khannoussi, Arwa, Olteanu, Alexandru-Liviu, Meyer, Patrick, Pasdeloup, Bastien

“…In the context of Multiple Criteria Decision Aiding, decision makers often face problems with multiple conflicting criteria that justify the use of preference…”
Get full text

Towards a characterization of the uncertainty curve for graphs by Pasdeloup, Bastien, Gripon, Vincent, Mercier, Grégoire, Pastor, Dominique

“…Signal processing on graphs is a recent research domain that aims at generalizing classical tools in signal processing, in order to analyze signals evolving on…”
Get full text

Improving Classification Accuracy With Graph Filtering by Hamidouche, M., Lassance, C., Hu, Y., Drumetz, L., Pasdeloup, B., Gripon, V.

“…In machine learning, classifiers are typically susceptible to noise in the training data. In this work, we aim at reducing intra-class noise with the help of…”
Get full text

Characterization and Inference of Graph Diffusion Processes from Observations of Stationnary Signals by Pasdeloup, Bastien, Gripon, Vincent, Mercier, Grégoire, Pastor, Dominique, Rabbat, Michael

“…Many tools from the field of graph signal processing exploit knowledge of the underlying graph's structure (e.g., as encoded in the Laplacian matrix) to…”
Get full text

Towards a characterization of the uncertainty curve for graphs by Pasdeloup, Bastien, Gripon, Vincent, Mercier, Gregoire, Pastor, Dominique

“…Signal processing on graphs is a recent research domain that aims at generalizing classical tools in signal processing, in order to analyze signals evolving on…”
Get full text

Multimodal Object Detection via Probabilistic a priori Information Integration by Hafyani, Hafsa El, Pasdeloup, Bastien, Yver, Camille, Romenteau, Pierre

“…Multimodal object detection has shown promise in remote sensing. However, multimodal data frequently encounter the problem of low-quality, wherein the…”
Get full text

Evaluating graph signal processing for neuroimaging through classification and dimensionality reduction by Menoret, Mathilde, Farrugia, Nicolas, Pasdeloup, Bastien, Gripon, Vincent

“…Graph Signal Processing (GSP) is a promising framework to analyze multi-dimensional neuroimaging datasets, while taking into account both the spatial and…”
Get full text

Disambiguation of One-Shot Visual Classification Tasks: A Simplex-Based Approach by Bendou, Yassir, Drumetz, Lucas, Gripon, Vincent, Lioi, Giulia, Pasdeloup, Bastien

“…The field of visual few-shot classification aims at transferring the state-of-the-art performance of deep learning visual systems onto tasks where only a very…”
Get full text

Unsupervised Adaptive Deep Learning Method for BCI Motor Imagery Decoding by El Ouahidi, Yassine, Lioi, Giulia, Farrugia, Nicolas, Pasdeloup, Bastien, Gripon, Vincent

“…In the context of Brain-Computer Interfaces, we propose an adaptive method that reaches offline performance level while being usable online without requiring…”
Get full text

FICUS: Few-Shot Image Classification with Unsupervised Segmentation by Lys, Jonathan, Lin, Frederic, Beliveau, Clement, Decaestecker, Jules, Bendou, Yassir, Abdali, Aymane, Pasdeloup, Bastien

“…In the realm of image classification, annotations often describe a single category. However, images might contain multiple objects including spurious ones with…”
Get full text

LLM meets Vision-Language Models for Zero-Shot One-Class Classification by Bendou, Yassir, Lioi, Giulia, Pasdeloup, Bastien, Mauch, Lukas, Hacene, Ghouthi Boukli, Cardinaux, Fabien, Gripon, Vincent

“…We consider the problem of zero-shot one-class visual classification, extending traditional one-class classification to scenarios where only the label of the…”
Get full text

Unsupervised Adaptive Deep Learning Method For BCI Motor Imagery Decoding by Ouahidi, Yassine El, Lioi, Giulia, Farrugia, Nicolas, Pasdeloup, Bastien, Gripon, Vincent

“…In the context of Brain-Computer Interfaces, we propose an adaptive method that reaches offline performance level while being usable online without requiring…”
Get full text