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of 14 353
pro vyhledávání: '"A Fransen"'
Multivariate Time Series Classification (MTSC) is a ubiquitous problem in science and engineering, particularly in neuroscience, where most data acquisition modalities involve the simultaneous time-dependent recording of brain activity in multiple br
Externí odkaz:
http://arxiv.org/abs/2408.02760
Autor:
Rinella, Gianluca Aglieri, Aglietta, Luca, Antonelli, Matias, Barile, Francesco, Benotto, Franco, Beolè, Stefania Maria, Botta, Elena, Bruno, Giuseppe Eugenio, Carnesecchi, Francesca, Colella, Domenico, Colelli, Angelo, Contin, Giacomo, De Robertis, Giuseppe, Dumitrache, Florina, Elia, Domenico, Ferrero, Chiara, Fransen, Martin, Kluge, Alex, Kumar, Shyam, Lemoine, Corentin, Licciulli, Francesco, Lim, Bong-Hwi, Loddo, Flavio, Mager, Magnus, Marras, Davide, Martinengo, Paolo, Pastore, Cosimo, Patra, Rajendra Nath, Perciballi, Stefania, Piro, Francesco, Prino, Francesco, Ramello, Luciano, Ramos, Arianna Grisel Torres, Reidt, Felix, Russo, Roberto, Sarritzu, Valerio, Savino, Umberto, Schledewitz, David, Selina, Mariia, Senyukov, Serhiy, Sitta, Mario, Snoeys, Walter, Sonneveld, Jory, Suljic, Miljenko, Triloki, Triloki, Turcato, Andrea
In the context of the CERN EP R&D on monolithic sensors and the ALICE ITS3 upgrade, the Tower Partners Semiconductor Co (TPSCo) 65 nm process has been qualified for use in high energy physics, and adopted for the ALICE ITS3 upgrade. An Analog Pixel T
Externí odkaz:
http://arxiv.org/abs/2407.18528
We embed the Penrose limit into the Weyl classical double copy. Thereby, we provide a lift of the double copy properties of plane wave spacetimes into black hole geometries and we open a novel avenue towards taking the classical double copy beyond st
Externí odkaz:
http://arxiv.org/abs/2406.14601
Photoionized and electronically excited ethylene \ce{C2H4+} can undergo \ce{H}-loss, \ce{H2}-loss, and ethylene-ethylidene isomerization, where the latter entails a hydrogen migration. Recent pioneering experiments with few-femtosecond extreme ultrav
Externí odkaz:
http://arxiv.org/abs/2405.17266
Autor:
Fransen, Kwinten, Giddings, Steven B.
We initiate a general investigation into gravitational wave signatures of modifications to scattering of gravitational radiation from black holes. Such modifications may be present due to the quantum dynamics that makes black holes consistent with qu
Externí odkaz:
http://arxiv.org/abs/2405.05970
The present paper introduces new sentiment data, MaCMS, for Magahi-Hindi-English (MHE) code-mixed language, where Magahi is a less-resourced minority language. This dataset is the first Magahi-Hindi-English code-mixed dataset for sentiment analysis t
Externí odkaz:
http://arxiv.org/abs/2403.04639
Exploiting cognates for transfer learning in under-resourced languages is an exciting opportunity for language understanding tasks, including unsupervised machine translation, named entity recognition and information retrieval. Previous approaches ma
Externí odkaz:
http://arxiv.org/abs/2311.05155
Autor:
Cavaggion C, Luque-Suarez A, Voogt L, Juul-Kristensen B, Wollants G, Beke L, Fransen E, Struyf F
Publikováno v:
Open Access Journal of Sports Medicine, Vol Volume 15, Pp 181-196 (2024)
Claudia Cavaggion,1 Alejandro Luque-Suarez,2,3 Lennard Voogt,4,5 Birgit Juul-Kristensen,6 Guy Wollants,7 Lucas Beke,7 Erik Fransen,8 Filip Struyf1 1Research Group MOVANT, Department of Rehabilitation Sciences and Physiotherapy (REVAKI), Faculty of Me
Externí odkaz:
https://doaj.org/article/b7d236589ca64a909a2019eee0a0136c
Time Series Classification (TSC) is essential in fields like medicine, environmental science, and finance, enabling tasks such as disease diagnosis, anomaly detection, and stock price analysis. While machine learning models like Recurrent Neural Netw
Externí odkaz:
http://arxiv.org/abs/2309.14518
We compute the spectrum of linearized gravitational excitations of black holes with substantial angular momentum in the presence of higher-derivative corrections to general relativity. We do so perturbatively to leading order in the higher-derivative
Externí odkaz:
http://arxiv.org/abs/2307.07431