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Conference

Change-Relaxed Active Fairness Auditing

Subjects: Artificial Intelligence; Algorithmic Auditing; Black-box modelsStrasbourg; France

  • Source: Actes de la Conférence Nationale d'Intelligence Artificielle (CNIA) 2023 ⟨https://ut3-toulouseinp.hal.science/hal-04310171) ; RJCIA 2023 - 21e Rencontres des Jeunes Chercheurs en Intelligence

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Conference

SCAF: Skip-Connections in Auto-encoder for Face Alignment with Few Annotated Data

Subjects: Face alignment; Semi-supervised training; Active learningLecce; ItalyLecce, Italy

  • Source: ICIAP 2022 - International Conference on Image Analysis and Processing ; https://hal.science/hal-03687091 ; ICIAP 2022 - International Conference on Image Analysis and Processing, May 2022, Lecce,

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Conference

Confronting Active Learning for Relation Extraction to a Real-life Scenario on French Newspaper Data

Subjects: Relation extraction; Active learning; Real-life scenarioNew Orleans; United States

  • Source: InterNLP 2022 - 2nd Workshop on Interactive Learning for Natural Language Processing ; https://hal.science/hal-03839438 ; InterNLP 2022 - 2nd Workshop on Interactive

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Conference

Imperfect Labels with Belief Functions for Active Learning

Subjects: Belief Functions; Imperfect Labels; Active LearningParis; France

  • Source: Belief Functions: Theory and Applications ; https://hal.science/hal-03817218 ; Belief Functions: Theory and Applications, Oct 2022, Paris, France. pp.44-53, ⟨10.1007/978-3-031-17801-6_5⟩

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Conference

Deep Active Learning from Multispectral Data Through Cross-Modality Prediction Inconsistency

Subjects: Active learning; multispectral pedestrian detection; semantic segmentationAnchorage; United States

  • Source: ICIP 2021 - 28th IEEE International Conference on Image Processing ; https://hal.science/hal-03236409 ; ICIP 2021 - 28th IEEE International Conference on Image Processing, Sep 2021, Anchorage, United

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Conference

Concevoir un assistant conversationnel de manière itérative et semi-supervisée avec le clustering interactif

Subjects: Traitement automatique du langage naturel; Apprentissage semi-supervisé; Active learningMontpellier / Virtual; France

  • Source: Atelier - Fouille de Textes - Text Mine 2021 - En conjonction avec EGC 2021 ; https://inria.hal.science/hal-03133060 ; Atelier - Fouille de Textes - Text Mine 2021 - En conjonction avec EGC 2021,

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Conference

Modèle crédibiliste pour l'échantillonnage en apprentissage actif

Subjects: Belief functions; Theory of Dempster-Shafer; EntropiesParis; France

  • Source: Rencontres francophones sur la logique floue et ses applications ; https://hal.science/hal-03327140 ; Rencontres francophones sur la logique floue et ses applications, Oct 2021, Paris, France

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Conference

Evidential Nearest Neighbours in Active Learning

Subjects: Active Learning; Belief Functions; Theory of Dempster-ShaferBilbao; Spain

  • Source: Worksop on Interactive Adaptive Learning (IAL) - ECML-PKDD ; https://hal.science/hal-03327629 ; Worksop on Interactive Adaptive Learning

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Conference

Automated Risk Analysis of a Vulnerability Disclosure Using Active Learning

Subjects: Security; CVE; Machine LearningRennes; France

  • Source: C&ESAR 2021 - 28th Computer & Electronics Security Application Rendezvous ; https://hal.inria.fr/hal-03515662 ; C&ESAR 2021 - 28th Computer & Electronics Security Application Rendezvous, Nov 2021,

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