Zobrazeno 1 - 10
of 8 080
pro vyhledávání: '"DEVILLERS, A."'
Autor:
Núñez-Regueiro, Manuel, Devillers, Thibaut, Beaugnon, Eric, de Marles, Armand, Crozes, Thierry, Pairis, Sébastien, Swale, Christopher, Klein, Holger, Leynaud, Olivier, Hadj-Azzem, Abdelali, Gay, Frédéric, Dufeu, Didier
It has been claimed that graphite hosts superconductivity at room temperature, although all efforts to isolate it have been vain. Here we report a separation method that uses magnetic field gradients to sort the superconducting from normal grains out
Externí odkaz:
http://arxiv.org/abs/2410.18020
Autor:
Devillers, Alice, Kamčev, Nina, McKay, Brendan, Catháin, Padraig Ó, Royle, Gordon, Van de Voorde, Geertrui, Wanless, Ian, Wood, David R.
There are finitely many graphs with diameter $2$ and girth 5. What if the girth 5 assumption is relaxed? Apart from stars, are there finitely many triangle-free graphs with diameter $2$ and no $K_{2,3}$ subgraph? This question is related to the exist
Externí odkaz:
http://arxiv.org/abs/2406.00246
Autor:
Alavi, Seyed Hassan, Amarra, Carmen, Daneshkhah, Ashraf, Devillers, Alice, Praeger, Cheryl E.
It was shown in 1989 by Delandtsheer and Doyen that, for a $2$-design with $v$ points and block size $k$, a block-transitive group of automorphisms can be point-imprimitive (that is, leave invariant a nontrivial partition of the point set) only if $v
Externí odkaz:
http://arxiv.org/abs/2404.11241
Autor:
Revillion, Christophe, Mouquet, Pascal, Commins, Jeremy, Miranville, Juliette, Wolff, Charlotte, Germain, Thomas, Jego, Sylvaine, Longour, Lucas, Girond, Florian, Bouche, Didier, Devillers, Rodolphe, Pennober, Gwenaelle, Herbreteau, Vincent
The increasing availability of free high-resolution earth observation data covering any point on the globe every few days led to the emergence of new remote sensing tools that can manipulate the very large volumes of data generated by those satellite
Externí odkaz:
http://arxiv.org/abs/2404.04305
Humans perceive the world through multiple senses, enabling them to create a comprehensive representation of their surroundings and to generalize information across domains. For instance, when a textual description of a scene is given, humans can men
Externí odkaz:
http://arxiv.org/abs/2403.04588
We consider $2$-designs which admit a group of automorphisms that is flag-transitive and leaves invariant a chain of nontrivial point-partitions. We build on our recent work on $2$-designs which are block-transitive but not necessarily flag-transitiv
Externí odkaz:
http://arxiv.org/abs/2401.13885
Speech emotion recognition (SER) has received a great deal of attention in recent years in the context of spontaneous conversations. While there have been notable results on datasets like the well known corpus of naturalistic dyadic conversations, IE
Externí odkaz:
http://arxiv.org/abs/2401.00536
Autor:
Feng, Yajing, Devillers, Laurence
Publikováno v:
2023 11th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW), Sep 2023, Boston (MA), United States
Speech Emotion recognition (SER) in call center conversations has emerged as a valuable tool for assessing the quality of interactions between clients and agents. In contrast to controlled laboratory environments, real-life conversations take place u
Externí odkaz:
http://arxiv.org/abs/2310.02281
Autor:
David Mouillot, Laure Velez, Camille Albouy, Nicolas Casajus, Joachim Claudet, Vincent Delbar, Rodolphe Devillers, Tom B. Letessier, Nicolas Loiseau, Stéphanie Manel, Laura Mannocci, Jessica Meeuwig, Nicolas Mouquet, Ana Nuno, Louise O’Connor, Valeriano Parravicini, Julien Renaud, Raphael Seguin, Marc Troussellier, Wilfried Thuiller
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-13 (2024)
Abstract The global network of protected areas has rapidly expanded in the past decade and is expected to cover at least 30% of land and sea by 2030 to halt biodiversity erosion. Yet, the distribution of protected areas is highly heterogeneous on Ear
Externí odkaz:
https://doaj.org/article/65a4a3d65c564352975690aab217cc57
Multiscale Contextual Learning for Speech Emotion Recognition in Emergency Call Center Conversations
Emotion recognition in conversations is essential for ensuring advanced human-machine interactions. However, creating robust and accurate emotion recognition systems in real life is challenging, mainly due to the scarcity of emotion datasets collecte
Externí odkaz:
http://arxiv.org/abs/2308.14894