Bastien Pasdeloup
28
Documents
Researcher identifiers
bastien-pasdeloup
- IdRef : 224249347
-
0000-0002-8417-7537
Presentation
Publications
- 19
- 7
- 6
- 6
- 5
- 5
- 5
- 4
- 4
- 4
- 3
- 3
- 2
- 2
- 2
- 2
- 2
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 2
- 8
- 4
- 2
- 1
- 1
- 4
- 3
- 3
Learning to select operators in meta-heuristics: An integration of Q-learning into the iterated greedy algorithm for the permutation flowshop scheduling problemEuropean Journal of Operational Research, 2022, ⟨10.1016/j.ejor.2022.03.054⟩
Journal articles
hal-03723715v1
|
|
|
Easy—Ensemble Augmented-Shot-Y-Shaped Learning: State-of-The-Art Few-Shot Classification with Simple ComponentsJournal of Imaging, 2022, 8 (7), pp.179. ⟨10.3390/jimaging8070179⟩
Journal articles
hal-03714237v1
|
Characterization and Inference of Graph Diffusion Processes From Observations of Stationary SignalsIEEE Transactions on Signal and Information Processing over Networks, 2018, 4 (3), pp.481 - 496. ⟨10.1109/TSIPN.2017.2742940⟩
Journal articles
hal-01875916v1
|
|
Characterization and Inference of Graph Diffusion Processes from Observations of Stationnary SignalsIEEE Transactions on Signal and Information Processing over Networks, 2017, PP (99), ⟨10.1109/TSIPB.2017.2742940⟩
Journal articles
hal-01759090v1
|
Spatial Graph Signal Interpolation with an Application for Merging BCI Datasets with Various DimensionalitiesICASSP 2023: IEEE International Conference on Acoustics, Speech and Signal Processing, Jun 2023, Rhodes Island, Greece. pp.1-5, ⟨10.1109/ICASSP49357.2023.10097201⟩
Conference papers
hal-04173113v1
|
|
|
Élagage de réseaux de neurones convolutifs sur graphes pour la sélection de fréquences significatives pour le décodage d'IRMfGRETSI 2022 : 28ème colloque du Groupement de Recherche en Traitement du Signal et des Images, Sep 2022, Nancy, France
Conference papers
hal-03696640v1
|
|
Le manchot, la banane et la bibliothèque. . . (de la désambiguïsation d'une tâche de classification avec un exemple)GRETSI 2022 : 28ème colloque du Groupement de Recherche en Traitement du Signal et des Images, Sep 2022, Nancy, France
Conference papers
hal-03694660v1
|
|
Un algorithme génétique pour l'apprentissage d'un modèle de rangement multi-critère à base de profils de référencesROADEF 2022 : 23ème congrès annuel de la Société Française de Recherche Opérationnelle et d'Aide à la Décision, INSA Lyon, Feb 2022, Villeurbanne - Lyon, France
Conference papers
hal-03595432v1
|
Pruning Graph Convolutional Networks to Select Meaningful Graph Frequencies for FMRI DecodingEUSIPCO 2022: 30th European Signal Processing Conference, Aug 2022, Belgrade, Serbia. pp.937-941, ⟨10.23919/EUSIPCO55093.2022.9909966⟩
Conference papers
hal-04173125v1
|
|
|
Classes adversaires dans l'apprentissage avec peu d'exemplesGRETSI 2022 : 28ème colloque du Groupement de Recherche en Traitement du Signal et des Images, Sep 2022, Nancy, France
Conference papers
hal-03690074v1
|
A Learning-Based Iterated Local Search Algorithm for Solving the Traveling Salesman ProblemOLA2021: Optimization and Learning, Jun 2021, Catania (online), Italy. pp.45-61, ⟨10.1007/978-3-030-85672-4_4⟩
Conference papers
hal-03379777v1
|
|
|
Une approche pour regrouper des sujets atteints de cancers, sur la base des similarités des répartitions cellulaires au sein de leurs biopsiesEGC 2021 : 21ème conférence Extraction et Gestion des Connaissances, Jan 2021, Montpellier, France. pp.333-340
Conference papers
hal-03131445v1
|
A reinforcement learning-based operator selection in iterated local search for solving scheduling problemsEURO 2021: 31st European Conference on Operational Research, Jul 2021, Athens, Greece
Conference papers
hal-03385603v1
|
|
Improving Classification Accuracy With Graph FilteringICIP 2021: IEEE International Conference on Image Processing, Sep 2021, Anchorage, United States. pp.334-338, ⟨10.1109/ICIP42928.2021.9506042⟩
Conference papers
hal-03675142v1
|
|
|
Autoencoder-based generation of individuals in population-based metaheuristicsROADEF 2020 : 21ème Congrès Annuel de la Société Française de Recherche Opérationnelle et d’Aide à la Décision, Feb 2020, Montpellier, France
Conference papers
hal-02506195v1
|
|
An Online Learning-based Metaheuristic for Solving Combinatorial Optimization ProblemsROADEF 2020 : 21ème Congrès Annuel de la Société Française de Recherche Opérationnelle et d’Aide à la Décision, Feb 2020, Montpellier, France
Conference papers
hal-02506178v1
|
Evaluating Graph Signal Processing for Neuroimaging Through Classification and Dimensionality ReductionGlobalSIP 2017 : 5th IEEE Global Conference on Signal and Information Processing, Nov 2017, Montreal, Canada. pp.618 - 622, ⟨10.1109/GlobalSIP.2017.8309033⟩
Conference papers
hal-01761345v1
|
|
Translation sur graphe avec préservation du voisinageGRETSI 2017 : 26ème colloque du Groupement de Recherche en Traitement du Signal et des Images, Sep 2017, Juan Les Pins, France
Conference papers
hal-01617209v1
|
|
Characterizing graphs from diffused worshopGSP 2016 : Graph Signal Processing Workshop, May 2016, Philadelphia, United States
Conference papers
hal-01598379v1
|
|
Towards a characterization of the Uncertainty cuve for graphsICASSP 2016 : 41st IEEE International Conference on Acoustics, Speech and Signal Processing, Mar 2016, Shanghai, China. pp.4558 - 4562, ⟨10.1109/ICASSP.2016.7472540⟩
Conference papers
hal-01574034v1
|
|
Neighborhood-Preserving Translations on GraphsGlobalSIP 2016 : IEEE Global Conference on Signal and Information Processing, Dec 2016, Arlington, United States. pp.410 - 414
Conference papers
hal-01511073v1
|
|
|
Graph reconstruction from the observation of diffused signalsAllerton 2015 : 63th Annual Allerton conference on communication, control and Computing, Sep 2015, Allerton, United States. pp.1 - 5
Conference papers
hal-01310966v1
|
|
Vers une caractérisation de la courbe d'incertitude pour des graphes portant des signauxGRETSI 2015 : 25ème colloque du Groupement de Recherche en Traitement du Signal et des Images, Sep 2015, Lyon, France. pp.1 - 5
Conference papers
hal-01270749v1
|
|
Toward An Uncertainty Principle For Weighted GraphsEUSIPCO 2015 : 23rd European Signal Processing Conference, Aug 2015, Nice, France. pp.1496 - 1500, ⟨10.1109/EUSIPCO.2015.7362633⟩
Conference papers
hal-01270655v1
|
|
Graphs as Tools to Improve Deep Learning MethodsAdvances in Artificial Intelligence: Reviews, 2, International Frequency Sensor Association (IFSA) Publishing, inPress
Book sections
hal-03377563v1
|
Uncertainty principle on graphsVertex-Frequency Analysis of Graph Signals, pp.317-340, 2019, Signals and Communication Technology book series (SCT), ⟨10.1007/978-3-030-03574-7_9⟩
Book sections
hal-01944835v1
|
|
A metaheuristic for inferring a ranking model based on multiple reference profiles2023
Preprints, Working Papers, ...
hal-04017642v1
|
|
Extending convolutional neural networks to irregular domains through graph inferenceMachine Learning [cs.LG]. Ecole nationale supérieure Mines-Télécom Atlantique, 2017. English. ⟨NNT : 2017IMTA0048⟩
Theses
tel-01708824v2
|