Zobrazeno 1 - 10
of 27 332
pro vyhledávání: '"A. Raposo"'
We apply the phenomenological renormalization group to resting-state fMRI time series of brain activity in a large population. By recursively coarse-graining the data, we compute scaling exponents for the series variance, log probability of silence,
Externí odkaz:
http://arxiv.org/abs/2411.09098
Autor:
Sanchez, Oscar Torres, Borges, Guilherme, Raposo, Duarte, Rodrigues, André, Boavida, Fernando, Silva, Jorge Sá
The development of intelligent Industrial Internet of Things (IIoT) systems promises to revolutionize operational and maintenance practices, driving improvements in operational efficiency. Anomaly detection within IIoT architectures plays a crucial r
Externí odkaz:
http://arxiv.org/abs/2410.11612
Autor:
Beaulieu, Guillaume, Luo, Zhaochu, Raposo, Víctor, Heyderman, Laura J., Gambardella, Pietro, Martínez, Eduardo, Hrabec, Aleš
The interfacial Dzyaloshinskii-Moriya interaction (DMI) can be exploited in magnetic thin films to realize lateral chirally coupled systems, providing a way to couple different sections of a magnetic racetrack and realize interconnected networks of m
Externí odkaz:
http://arxiv.org/abs/2410.00176
Smart-city services are typically developed as closed systems within each city's vertical, communicating and interacting with cloud services while remaining isolated within each provider's domain. With the emergence of 5G private domains and the intr
Externí odkaz:
http://arxiv.org/abs/2407.17314
With modern vehicles evolving with more features, services, complex systems, with more sensors, actuators, and processing units, it is essential to think about vehicles not only as means of transportation that may tend towards full autonomy, but also
Externí odkaz:
http://arxiv.org/abs/2407.17287
Autor:
Gauy, Marcelo Matheus, Berti, Larissa Cristina, Cândido Jr, Arnaldo, Neto, Augusto Camargo, Goldman, Alfredo, Levin, Anna Sara Shafferman, Martins, Marcus, de Medeiros, Beatriz Raposo, Queiroz, Marcelo, Sabino, Ester Cerdeira, Svartman, Flaviane Romani Fernandes, Finger, Marcelo
Publikováno v:
Artificial Intellingence in Medicine Proceedings 2023, page 271-275
This work investigates Artificial Intelligence (AI) systems that detect respiratory insufficiency (RI) by analyzing speech audios, thus treating speech as a RI biomarker. Previous works collected RI data (P1) from COVID-19 patients during the first p
Externí odkaz:
http://arxiv.org/abs/2405.17569
Autor:
Vilaboa, José Manuel Fernández, Rodríguez, Ramón González, Pérez, Brais Ramos, Raposo, Ana Belén Rodríguez
This paper is devoted to the study of Hopf braces projections in a monoidal setting. Given a cocommutative Hopf brace ${\mathbb H}$ in a strict symmetric monoidal category ${\sf C}$, we define the braided monoidal category of left Yetter-Drinfeld mod
Externí odkaz:
http://arxiv.org/abs/2404.12231
Autor:
Raposo, David, Ritter, Sam, Richards, Blake, Lillicrap, Timothy, Humphreys, Peter Conway, Santoro, Adam
Transformer-based language models spread FLOPs uniformly across input sequences. In this work we demonstrate that transformers can instead learn to dynamically allocate FLOPs (or compute) to specific positions in a sequence, optimising the allocation
Externí odkaz:
http://arxiv.org/abs/2404.02258
In this paper, we introduce the notions of $\alpha$-quasicomplemented and totally $\alpha$-quasicomplemented subspaces and we established some results under these contexts. We show, for example, that if $X$ is a separable or reflexive Banach space an
Externí odkaz:
http://arxiv.org/abs/2403.05806
Autor:
Colombo, Pierre, Pires, Telmo Pessoa, Boudiaf, Malik, Culver, Dominic, Melo, Rui, Corro, Caio, Martins, Andre F. T., Esposito, Fabrizio, Raposo, Vera Lúcia, Morgado, Sofia, Desa, Michael
In this paper, we introduce SaulLM-7B, a large language model (LLM) tailored for the legal domain. With 7 billion parameters, SaulLM-7B is the first LLM designed explicitly for legal text comprehension and generation. Leveraging the Mistral 7B archit
Externí odkaz:
http://arxiv.org/abs/2403.03883