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9 résultats
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triés par
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Unjustified Classification Regions and Counterfactual Explanations In Machine LearningMachine Learning and Knowledge Discovery in Databases. ECML PKDD 2019, Sep 2019, Würzburg, Germany. pp.37-54, ⟨10.1007/978-3-030-46147-8_3⟩
Communication dans un congrès
hal-02275348v1
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EAST representation: fast discovery of discriminant temporal patterns from time seriesECML/PKDD Workshop on Advanced Analytics and Learning on Temporal Data, Sep 2016, Riva Del Garda, Italy
Communication dans un congrès
hal-01350734v1
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Comparison-based Inverse Classification for Interpretability in Machine Learning17th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU 2018), Jun 2018, Cadix, Spain. pp.100-111, ⟨10.1007/978-3-319-91473-2_9⟩
Communication dans un congrès
hal-01905982v1
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Detecting Potential Local Adversarial Examples for Human-Interpretable DefenseWorkshop on Recent Advances in Adversarial Learning (Nemesis) of the European Conference on Machine Learning and Principles of Practice of Knowledge Discovery in Databases (ECML-PKDD), Sep 2018, Dublin, Ireland
Communication dans un congrès
hal-01905948v1
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The Dangers of Post-hoc Interpretability: Unjustified Counterfactual ExplanationsTwenty-Eighth International Joint Conference on Artificial Intelligence {IJCAI-19}, Aug 2019, Macao, Macau SAR China. pp.2801-2807, ⟨10.24963/ijcai.2019/388⟩
Communication dans un congrès
hal-02275308v1
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Random-shapelet: an algorithm for fast shapelet discovery2015 IEEE International Conference on Data Science and Advanced Analytics (IEEE DSAA'2015), Oct 2015, Paris, France. pp.1-10, ⟨10.1109/DSAA.2015.7344782⟩
Communication dans un congrès
hal-01217435v1
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Defining Locality for Surrogates in Post-hoc InterpretablityWorkshop on Human Interpretability for Machine Learning (WHI) - International Conference on Machine Learning (ICML), Jul 2018, Stockholm, Sweden
Communication dans un congrès
hal-01905924v1
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QUACKIE: A NLP Classification Task With Ground Truth Explanations2021
Pré-publication, Document de travail
hal-03138351v1
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Localized Random ShapeletsInternational Workshop on Advanced Analysis and Learning on Temporal Data, 2019, Wurzburg, Germany. pp.85-97, ⟨10.1007/978-3-030-39098-3_7⟩
Communication dans un congrès
hal-02513295v1
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