Výsledky vyhledávání - "[SCCO.COMP] Cognitive science/Computer science"

Akademický článek

Artificial colorization of digitized microfilms: a preliminary study

Publikováno v: Journal of Data Mining and Digital Humanities, Vol 2022, Iss Towards a Digital Ecosystem:... (2023)

A lot of available digitized manuscripts online are actually digitized microfilms, a technology dating back from the 1930s. With the progress of artificial colorization, we make the hypothesis that microfilms could be colored with these recent techno

Externí odkaz: https://doaj.org/article/6283f44c6eb24a8b930bee1e092d4fd2

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Order selection with confidence for finite mixture models

Autor: Hien D. Nguyen, Daniel Fryer, Geoffrey J. McLachlan

Publikováno v: Journal of the Korean Statistical Society. 52:154-184

The determination of the number of mixture components (the order) of a finite mixture model has been an enduring problem in statistical inference. We prove that the closed testing principle leads to a sequential testing procedure (STP) that allows fo

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3d7396cb4d1f4fc74ffb1da989ce7c0b
https://doi.org/10.1007/s42952-022-00195-z

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Akademický článek

How to read the 52.000 pages of the British Journal of Psychiatry? A collaborative approach to source exploration

Autor: Eva Andersen, Maria Biryukov, Roman Kalyakin, Lars Wieneke

Publikováno v: Journal of Data Mining and Digital Humanities, Vol HistoInformatics, Iss HistoInformatics (2020)

Historians are confronted with an overabundance of sources that require new perspectives and tools to make use of large-scale corpora. Based on a use case from the history of psychiatry this paper describes the work of an interdisciplinary team to ta

Externí odkaz: https://doaj.org/article/0cb9b9aef5494853b4f59c338249a703

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Core SBML and its Formal Semantics

Autor: Niehren, Joachim, Lhoussaine, Cédric, Vaginay, Ahténaïs

Publikováno v: CMSB 2023-21th International Conference on Formal Methods in Systems Biology
CMSB 2023-21th International Conference on Formal Methods in Systems Biology, Sep 2023, Luxembourg, Luxembourg

International audience; The systems biology markup language (SBML) permits to represent biological models mixing reaction networks, algebraic equations, differential equations, and events. Its main objective is to exchange biological models between v

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::483d0a7f9f745098e9aa592e9335e9e6
https://inria.hal.science/hal-04125922v1/document

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Agreement in Spiking Neural Networks

Autor: Martin Kunev, Petr Kuznetsov, Denis Sheynikhovich

Publikováno v: Journal of Computational Biology
Journal of Computational Biology, 2022, 29 (4), pp.358-369. ⟨10.1089/cmb.2021.0365⟩

International audience; We study the problem of binary agreement in a spiking neural network (SNN). We show that binary agreement on n inputs can be achieved with O(n) of auxiliary neurons. Our simulation results suggest that agreement can be achieve

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ff894b2ff047b691630bf0360e88d72f
https://doi.org/10.1089/cmb.2021.0365

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Do You Believe Your (Social Media) Data? A Personal Story on Location Data Biases, Errors, and Plausibility as Well as Their Visualization

Autor: Tobias Isenberg, Zujany Salazar, Rafael Blanco, Catherine Plaisant

Publikováno v: IEEE Transactions on Visualization and Computer Graphics
IEEE Transactions on Visualization and Computer Graphics, 2022, 28 (9), pp.3277-3291. ⟨10.1109/TVCG.2022.3141605⟩
IEEE Transactions on Visualization and Computer Graphics, Institute of Electrical and Electronics Engineers, In press, ⟨10.1109/TVCG.2022.3141605⟩

We present a case study on a journey about a personal data collection of carnivorous plant species habitats, and the resulting scientific exploration of location data biases, data errors, location hiding, and data plausibility. While initially driven

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a8334d83b6300f75336396b0feb2fb09
https://doi.org/10.1109/tvcg.2022.3141605

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Compression quasi sans perte d'images satellites par filtrage de résidus

Autor: Bacchus, Pascal, Roumy, Aline, Fraisse, Renaud, Guillemot, Christine

Publikováno v: Actes du Gretsi 2023
GRETSI 2023-XXIXème Colloque Francophone de Traitement du Signal et des Images
GRETSI 2023-XXIXème Colloque Francophone de Traitement du Signal et des Images, Aug 2023, Grenoble, France. pp.1-5
XXIXème Colloque Francophone de Traitement du Signal et des Images (GRETSI'23)
XXIXème Colloque Francophone de Traitement du Signal et des Images (GRETSI'23), Aug 2023, Grenoble, France

National audience; We describe an end-to-end trainable neural network for satellite image compression. We first introduce a cost functioncombining a perceptual loss and the classical mean square error that significantly improves the performance of th

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::7b25b5e340e5956e9f4b5eeaefa982ec
https://hal.science/hal-04156801

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Converging on a Semantic Interoperability Framework for the European Data Space for Science, Research and Innovation (EOSC)

Autor: David, Romain, Baumann, Kurt, Le Franc, Yann, Magagna, Barbara, Vogt, Lars, Widmann, Heinrich, Jouneau, Thomas, Koivula, Hanna, Madon, Bénédicte, Åkerström, Wolmar Nyberg, Ojsteršek, Milan, Scharnhorst, Andrea, Schubert, Chris, Shi, Zhengdong, Tanca, Letizia, Vancauwenbergh, Sadia

Publikováno v: 2nd Workshop on Ontologies for FAIR and FAIR Ontologies (Onto4FAIR), 9th Joint Ontology Workshops (JOWO 2023)
2nd Workshop on Ontologies for FAIR and FAIR Ontologies (Onto4FAIR), 9th Joint Ontology Workshops (JOWO 2023), Cassia Trojahn; Luiz Olavo Bonino da Silva Santos; Giancarlo Guizzardi; Clement Jonquet, Jul 2023, Sherbrooke, Québec, Canada. ⟨10.5281/zenodo.8042997⟩

Semantic interoperability (SI) is at the heart of the FAIR principles and the design of large-scale cross-disciplinary infrastructures. The European Open Science Cloud (EOSC) is a European-wide effort towards such an infrastructure, aiming to deepen

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c4f0683347a8daead0c016d5b869e79f
https://hal.science/hal-04149754

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Pseudo Online Framework

Autor: Carrara, Igor, Papadopoulo, Théodore

Publikováno v: BCI Society Meeting 2023
BCI Society Meeting 2023, Jun 2023, Bruxelles (BE), Belgium

International audience; Introduction: A BCI technology can operate in 3 different modalities: online mode which requires analyzingthe new real-time EEG data while acquiring it, offline mode where data is acquired and saved to a file and thenanalyzed

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od_______165::1b0dc8b4940d32438e03fd7a01962820
https://hal.science/hal-04128689

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Finite sample inference for empirical Bayesian methods

Autor: Hien Duy Nguyen, Mayetri Gupta

In recent years, Empirical Bayesian (EB) inference has become an attractive approach for estimation in parametric models arising in a variety of real-life problems, especially in complex and high-dimensional scientific applications. However, compared

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d605db881ddd209c3981ba69a2a220e9
http://arxiv.org/abs/2302.14531

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