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hal-03814792v1  Conference papers
Abdul QayyumAbdesslam BenzinouKamal NasreddineValentin FoulonAnthonin Martinel et al.  A Deep Learning Vision Transformer using Majority Voting Ensemble for Nematode Classification with Test Time Augmentation Technique
4rd International Conference on Advances in Signal Processing and Artificial Intelligence (ASPAI' 2022), Oct 2022, Corfu, Greece
hal-03795063v1  Conference papers
Daria BotvynkoCarlos Granero-BelinchonAbdesslam BenzinouRonan FabletSimon Van Gennip. Deep Learning approaches to simulate Lagrangian particle dynamics at sea surface
Sea Tech Week 2022, Session "Marine Litter Solutions for Monitoring Mitigation and Prevention", Sep 2022, BREST, France
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hal-03683702v1  Conference papers
Raphael BaenaLucas DrumetzVincent Gripon. A Local Mixup to Prevent Manifold Intrusion
EUSIPCO 2022, Aug 2022, Belgrade, Serbia
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hal-03580148v2  Conference papers
Binh Minh NguyenGanglin TianMinh-Triet VoAurélie MichelThomas Corpetti et al.  Convolutional Neural Network Modelling for MODIS Land Surface Temperature Super-Resolution
2022 30th European Signal Processing Conference (EUSIPCO), Aug 2022, Belgrade, Serbia
hal-03758718v1  Conference papers
Abdelmalek ToumiJean-Christophe CexusAli Khenchaf. A proposal learning strategy on CNN architectures for targets classification
2022 6th International Conference on Advanced Technologies for Signal and Image Processing (ATSIP), May 2022, Sfax, Tunisia. pp.1-6, ⟨10.1109/ATSIP55956.2022.9805965⟩
hal-03684541v1  Book sections
Abdul QayyumM. Ahamed KhanAbdesslam BenzinouMoona MazherManickam Ramasamy et al.  An Efficient 1DCNN–LSTM Deep Learning Model for Assessment and Classification of fMRI-Based Autism Spectrum Disorder
Innovative Data Communication Technologies and Application, 96, Springer Nature Singapore, pp.1039-1048, 2022, Lecture Notes on Data Engineering and Communications Technologies, ⟨10.1007/978-981-16-7167-8_77⟩