
Jérémie Sublime
Enseignant-Chercheur HDR à l'ISEP
47
Documents
Publications
Publications
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Application of explainable AI to healthcare: a review ⋆IDDM’24: 7th International Conference on Informatics & Data-Driven Medicine, Nov 2024, Birmingham (UK), United Kingdom
Communication dans un congrès
hal-04779540
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DEEP NEURAL NETWORKS COMPARISON FOR MRI SEGMENTATION OF THE BRAINSTEMThe 21st IEEE International Symposium on Biomedical Imaging, IEEE, May 2024, Athens, Greece
Communication dans un congrès
hal-04497572
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Artificial Intelligence for Methane Mitigation : Through an Automated Determination of Oil and Gas Methane Emissions ProfilesNeurIPS, Dec 2023, Nouvelle-Orléans, Louisiane, United States
Communication dans un congrès
hal-04275611
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Context-aware Attention U-Net for the segmentation of pores in Lamina Cribrosa using partial points annotation21st IEEE International Conference on Machine Learning and Applications (IEEE ICMLA'22), Dec 2022, Bahamas, Bahamas
Communication dans un congrès
hal-03800461
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A new Information theory based clustering fusion method for multi-view representations of text documents22nd International Conference on Human-Computer Interaction (HCI 2020), Jul 2020, Copenhague, Denmark
Communication dans un congrès
hal-02950414
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Deep Cooperative Reconstruction with Security Constraints in multi-view environmentsICDMW 2020, Nov 2020, Online, Italy
Communication dans un congrès
hal-02963851
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An Information Theory based Approach to Multisource ClusteringTwenty-Seventh International Joint Conference on Artificial Intelligence {IJCAI-18}, Jul 2018, Stockholm, Sweden. ⟨10.24963/ijcai.2018/358⟩
Communication dans un congrès
hal-01913946
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Collaborative clustering based on Algorithmic Information TheoryCAp ( Conférence sur l'Apprentissage Automatique ) 2017, Jun 2017, Grenoble, France
Communication dans un congrès
hal-04080050
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Analysis of the influence of diversity in collaborative and multi-view clusteringIJCNN-2017 (Int. Joint Conf. on Neural Networks), May 2017, Anchorage, United States
Communication dans un congrès
hal-02287911
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Collaborative learning using topographic mapsAAFD and SFC'16 Conférence Internationale Francophone "Science des données. Défis Mathématiques et algorithmiques", May 2016, Marrakech, Morocco
Communication dans un congrès
hal-01557220
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Vertical collaborative clustering using generative topographic maps7th International Conference of Soft Computing and Pattern Recognition (SoCPaR), Nov 2015, Fukuoka, Japan. pp.199-204, ⟨10.1109/SOCPAR.2015.7492807⟩
Communication dans un congrès
hal-01589449
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Collaborative-Based Multi-scale Clustering in Very High Resolution Satellite ImagesInternational Conference on Neural Information (ICONIP) Processing, Oct 2016, Tokyo, Japan. pp.148-155, ⟨10.1007/978-3-319-46675-0_17⟩
Communication dans un congrès
hal-01560656
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Semantic rich ICM algorithm for VHR satellite images segmentation14th IAPR International Conference on Machine Vision Applications (MVA), May 2015, Tokyo, Japan. pp.15292961, ⟨10.1109/MVA.2015.7153129⟩
Communication dans un congrès
hal-01585544
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Collaborative Clustering with Heterogeneous AlgorithmsInternational Joint Conference on Neural Networks (IJCNN), Jul 2015, Killarney, Ireland. 8 p
Communication dans un congrès
hal-02742382
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Collaborative Clustering with Heterogeneous AlgorithmsIJCNN 2015, Jul 2015, Killarney, Ireland. pp.8
Communication dans un congrès
hal-01560647
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Un nouveau modèle d’énergie pour les champs aléatoires de Markov cachés21. Rencontres de la Société Francophone de Classification SFC'14, 2014, Rabat, Maroc
Communication dans un congrès
hal-01565550
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A new energy model for the Hidden Markov Random Fields21. International Conference on Neural Information Processing (ICONIP 2014), Nov 2014, kuching, Malaysia
Communication dans un congrès
hal-01565549
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Clustering collaboratif incrémentalConférence Francophone d'Apprentissage ( CAP2014 ), Jul 2014, Saint Etienne, France
Communication dans un congrès
hal-01565539
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Rethinking Collaborative Clustering: A Practical and Theoretical Study within the Realm of Multi-View ClusteringWitold Pedrycz and Shyi-Ming Chen. Recent Advancements in Multi-View Data Analytics, Studies in Big Data 106, 2022
Chapitre d'ouvrage
hal-03524615
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Unsupervised Change Detection using Joint Autoencoders for Age-Related Macular Degeneration ProgressionSpringer. ICANN 2020, Part II, 1, In press, LNCS 12397
Chapitre d'ouvrage
hal-02963848
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Change Detection in Satellite Images using Reconstruction Errors of Joint AutoencodersArtificial Neural Networks and Machine Learning – ICANN 2019: Image Processing, pp.637-648, 2019, ⟨10.1007/978-3-030-30508-6_50⟩
Chapitre d'ouvrage
hal-02559342
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Contributions to modern unsupervised learning: Case studies of multi-view clustering and unsupervised Deep LearningMachine Learning [cs.LG]. Sorbonne Université, 2021
HDR
tel-03200791
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