• Search: "ACM: I.: Computing Methodologies"

Showing 101 - 120 of 3,372

101

Dating the Stylistic Turn
Dating the Stylistic Turn: The Strength of the Auctorial Signal in Early Modern French Plays
Cafiero, Florian ; Gabay, Simon ; médialab (Sciences Po) (médialab) ; et al.
Computational Humanities Research, Dec 2023, Paris, France

Paris, France Stylometry Stylométrie French litterature Stylistics Littérature française …
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102

A stand-alone polarimetric acquisition system for producing a long-term skylight dataset
Poughon, Léo ; Monnoyer, Jocelyn ; Viollet, Stéphane ; et al.

Vienna, Austria Skylight Polarization Navigation Deep Learning Heading Celestial Compass …
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103

Ultraviolet vs. Visible Skylight Polarization Measurements
Moutenet, Antoine ; Serres, Julien ; Viollet, Stéphane ; et al.

Vienna, Austria Ultraviolet (UV) skylight polarization Rayleigh scattering celestial compass polarized vision …
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104

Comparison between skylight polarization in visible and ultraviolet spectra for heading measurements
Moutenet, Antoine ; Serres, Julien ; Viollet, Stéphane ; et al.

Moliets et Maâ, France Ultraviolet (UV) Optical compass Skylight polarization Rayleigh scattering Celestial compass …
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105

Skylight polarization heading sensor using waveplate retardance shift with incidence
Poughon, Léo ; Aubry, Vincent ; Monnoyer, Jocelyn ; et al.

Moliets et Maâ, France Skylight Polarization Skylight polarization Navigation Deep Learning Heading …
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106

SkyPole -A bio-inspired polarimetric compass for GPS-denied navigation
Kronland-Martinet, Thomas ; Poughon, Léo ; Pasquinelli, Marcel ; et al.

Moliets et Maâ, France Celestial compass Celestial navigation Polarized vision GPS-denied geolocation ACM: I.: Computing Metho... …
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107

Oops, I Sampled it Again: Reinterpreting Confidence Intervals in Few-Shot Learning
Oups, j'ai échantillonné avec remise : Réinterprétation des intervalles de confiance dans l'apprentissage parcimonieux
Lafargue, Raphael ; Smith, Luke, Anthony ; Vermet, Franck ; et al.

Few-shot Learning Statistics Confidence Intervals 68T06 ACM: I.: Computing Metho... I.2: ARTIFICIAL INTELLIG... …
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108

AI and the Future of Entertainment Technology
Schatten, Markus ; Artificial Intelligence Laboratory (AI Lab) ; Faculty of Organization and Informatics, University of Zagreb (FOI) ; et al.

Generative artificial in... Future Entertainment Industry Personalization ACM: I.: Computing Metho... I.2: ARTIFICIAL INTELLIG... …
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109

Multimodal intelligibility of scholarly hypertext: the documentalist's contribution. A required collaboration for serial documentisation in the scientific editorial process.
Intelligibilité multimodale de l'hypertexte érudit : le rôle du documentaliste. Une nécessaire collaboration pour la documentarisation sérielle dans la chaîne éditoriale scientifique
Kembellec, Gérald ; Deutsches Historisches Institut Paris = Institut Historique Allemand (DHIP = IHA) ; Max Weber Stiftung - Deutsche Geisteswissenschaftliche Institute im Ausland ; et al.
H2PTM'21 : Information : enjeux et nouveaux défis. :233-246

Paris, France mediology serial documentation semantic publishing Editorialization médiologie …
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110

Calling to CNN-LSTM for Rumor Detection: A Deep Multi-channel Model for Message Veracity Classification in Microblogs
Azri, Abderrazek ; Favre, Cécile ; Harbi, Nouria ; et al.
Joint European Conference on Machine Learning and Knowledge Discovery in Databases (ECML PKDD 2021). :497-513

Bilbao, Spain Social networks Rumor detection Deep neural networks ACM: I.: Computing Metho... I.2: ARTIFICIAL INTELLIG... …
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111

MONITOR: A Multimodal Fusion Framework to Assess Message Veracity in Social Networks
Azri, Abderrazek ; Favre, Cécile ; Harbi, Nouria ; et al.
25th European Conference on Advances in Databases and Information Systems (ADBIS 2021). :73-87

Tartu, Estonia Social networks Rumor verification Image features Machine learning ACM: I.: Computing Metho... …
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112

FCA went (multi-)relational, but does it make any difference?
La FCA est devenue (multi-)relationnelle, mais cela fait-il une différence ?
Wajnberg, Mickaël ; Valtchev, Petko ; Lezoche, Mario ; et al.
9th workshop "What Can FCA Do for Artificial Intelligence?" colacated with 30th International Joint Conference on Artificial Intelligence. :27-38

Montréal, Canada Propositionalization RDF Formal Concept Analysis Multi-relational Data ACM: I.: Computing Metho... …
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113

A Neural Few-Shot Text Classification Reality Check
Dopierre, Thomas ; Gravier, Christophe ; Logerais, Wilfried ; et al.
16th Conference of the European Chapter of the Association for Computational Linguistics. :935-943

Kyiv (virtual), Ukraine ACM: I.: Computing Metho... I.2: ARTIFICIAL INTELLIG... [INFO.INFO-AI]Computer S... Artificial Intelligence...
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114

Binary level toolchain provenance identification with graph neural networks
Benoit, Tristan ; Marion, Jean-Yves ; Bardin, Sébastien ; et al.
SANER 2021 - 28th IEEE International Conference on Software Analysis. :131-141

Honolulu / Virtual, Unit... binary code analysis graph neural networks toolchain provenance ACM: D.: Software D.2: SOFTWARE ENGINEERIN... …
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115

An alternative definition for digital convexity
Lachaud, Jacques-Olivier ; Laboratoire de Mathématiques (LAMA) ; Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS) ; et al.
International Conference on Discrete Geometry and Mathematical Morphology. :269-282

Uppsala, Sweden Digital geometry Digital convexity Simple connectedness Arithmetic planes Tangential cover …
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116

On Joint Parameterizations of Linear and Nonlinear Functionals in Neural Networks
Atto, Abdourrahmane Mahamane ; Galichet, Sylvie ; Pastor, Dominique ; et al.
Neural Networks. 160:12-21

Parametric activation Rectified sigmoid Sigmoid shrinkage Learnable activation Deep learning Ensemble l... Ensemble learning …
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117

Design of asynchronous switched Takagi-Sugeno model-based H∞ filters with nonlinear consequent parts for switched nonlinear systems
Chekakta, Issam ; Jabri, Dalel ; Motchon, Koffi ; et al.
International Journal of Adaptive Control and Signal Processing. 37(6):1511-1535

Switched Takagi-Sugeno m... H∞ filters' design Nonlinear consequent par... Asynchronous switching l... LMI-based conditions ACM: B.: Hardware …
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118

Federated Semi-Supervised Learning for Attack Detection in Industrial Internet of Things
Aouedi, Ons ; Piamrat, Kandaraj ; Muller, Guillaume ; et al.
IEEE Transactions on Industrial Informatics. 19(1):286-295

machine learning deep learning semi-supervised learning intrusion detection Data privacy federated learning …
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119

The Riemannian Means Field Classifier for EEG-Based BCI Data
Andreev, Anton ; Cattan, Grégoire ; Congedo, Marco ; et al.
Sensors. 25(7):2305-2305

Signal and Image Process... Differential geometry Machine learning ML Riemannian geometry Brain computer interface... P300 classification …
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120

Innovative estimation practices for the analysis of regional or structural changes of scale: specific costs and gross margins.
Pratiques d'estimation innovantes pour l'analyse des changements d'échelle régionaux ou structurels : coûts spécifiques et marges brutes.
Desbois, Dominique ; Paris-Saclay Applied Economics (UMR PSAE) ; AgroParisTech-Université Paris-Saclay-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE) ; et al.
Marco Mingione. :111-135

Microeconomic analysis agricultural production... quantile regression pseudo-barycentric imput... dual estimation additional factor projec... …
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