AO

Showing results 1 to 12 of 433 in total

AO : 1 to 12 of 433 in total

  • Communication dans un congrès

    Alessandro Leite, Marc Schoenauer. Memetic Semantic Genetic Programming for Symbolic Regression. 26th EuroGP - Part of EvoStar 2023, Species Society, Apr 2023, Brno, Czech Republic. pp.198-212, ⟨10.1007/978-3-031-29573-7_13⟩. ⟨hal-04563511⟩

    AO

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  • HDR

    Paola Tubaro. Décrypter la société des plateformes : Organisations, marchés et réseaux dans l'économie numérique. Sociology. Institut d'Etudes Politiques de Paris, 2019. ⟨tel-04547405⟩

    AO

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  • Pré-publication, Document de travail

    Pierre Barbault, Matthieu Kowalski, Charles Soussen. LEMUR: Latent EM Unsupervised Regression for Sparse Inverse Problems. 2024. ⟨hal-04542061⟩

    AO

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  • Pré-publication, Document de travail

    Romain Egele, Felix Mohr, Tom Viering, Prasanna Balaprakash. The Unreasonable Effectiveness Of Early Discarding After One Epoch In Neural Network Hyperparameter Optimization. 2024. ⟨hal-04537565⟩

    AO

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  • Pré-publication, Document de travail

    Sylvain Chevallier, Igor Carrara, Bruno Aristimunha, Pierre Guetschel, Sara Sedlar, et al.. The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark. 2024. ⟨hal-04537061⟩

    AO, ParSys

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  • Proceedings/Recueil des communications

    Pierre Liardet, Pierre Collet, Cyril Fonlupt, Evelyne Lutton, Marc Schoenauer. Artificial Evolution: 6th International Conference, Evolution Artificielle, EA 2003, Marseilles, France, October 27-30, 2003, Revised Selected Papers. 6th International Conference, Evolution Artificielle, EA 2003, 2936, Springer, pp.1-409, 2004, LNCS 2936, 3540215239. ⟨10.1007/b96080⟩. ⟨inria-00000846⟩

    AO

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  • Pré-publication, Document de travail

    Igor Carrara, Bruno Aristimunha, Marie-Constance Corsi, Raphael Y de Camargo, Sylvain Chevallier, et al.. Geometric Neural Network based on Phase Space for BCI decoding. 2024. ⟨hal-04500580⟩

    AO

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  • Communication dans un congrès

    Marc Velay, Bich-Liên Doan, Arpad Rimmel, Fabrice Popineau, Fabrice Daniel. Benchmarking Robustness of Deep Reinforcement Learning approaches to Online Portfolio Management. 2023 International Conference on Innovations in Intelligent Systems and Applications (INISTA), Sep 2023, Hammamet, Tunisia. pp.1-6, ⟨10.1109/INISTA59065.2023.10310402⟩. ⟨hal-04473989⟩

    AO, AO, GALaC, LaHDAK

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  • Article dans une revue

    Nicolas Spyratos, Tsuyoshi Sugibuchi. HIFUN - a high level functional query language for big data analytics. Journal of Intelligent Information Systems, 2018, 51 (3), pp.529-555. ⟨10.1007/s10844-018-0495-6⟩. ⟨hal-04467615⟩

    AO

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  • Article dans une revue

    Petros Zervoudakis, Haridimos Kondylakis, Nicolas Spyratos, Dimitris Plexousakis. Query Rewriting for Incremental Continuous Query Evaluation in HIFUN. Algorithms, 2021, 14, ⟨10.3390/a14050149⟩. ⟨hal-04467520⟩

    AO

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  • Communication dans un congrès

    Nicolas Spyratos, Tsuyoshi Sugibuchi. Data Exploration in the HIFUN Language. FQAS 2019: Flexible Query Answering Systems, Jul 2019, Amantea, Italy. pp.176-187, ⟨10.1007/978-3-030-27629-4_18⟩. ⟨hal-04466253⟩

    AO, AO

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  • Article dans une revue

    Karan Bhanot, Joseph Pedersen, Isabelle Guyon, Kristin P Bennett. Investigating synthetic medical time-series resemblance. Neurocomputing, 2022, 494, pp.368-378. ⟨10.1016/j.neucom.2022.04.097⟩. ⟨hal-04465658⟩

    AO

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