Zobrazeno 1 - 10
of 17 679
pro vyhledávání: '"Rocamora, A"'
This paper proposes a Few-shot Learning (FSL) approach for detecting Presentation Attacks on ID Cards deployed in a remote verification system and its extension to new countries. Our research analyses the performance of Prototypical Networks across d
Externí odkaz:
http://arxiv.org/abs/2409.06842
Autor:
Montserrat Montés Germán
Publikováno v:
Clínica Contemporánea, Vol 13, Iss 2 (2022)
Externí odkaz:
https://doaj.org/article/c6e0ce6f9c7e4eb2993b7f85d9b7459e
Autor:
Beltrán Solsona, Pep, Follana Ramón, Agueda, Gil Martínez, Jesús, Grau Murcia, Joaquín, Marín Aniorte, Patricio, Mora Cutillas, Celia, Mora Cutillas, Irene, Mora Cutillas, Rubén, Mora Rocamora, José Antonio, Morante Escarabajal, Lucía, Rocamora Nadal, Laura, Rocamora Nadal, Lourdes, Rocamora Ramón, Francisco Oscar, Rocamora Rocamora, José Antonio, Rocamora Rocamora, José Damián, Rocamora Torregrosa, Ana María, Rocamora Torregrosa, José Damián, Rocamora Torregrosa, María Isabel, Samper López, Josefina
Publikováno v:
RUA. Repositorio Institucional de la Universidad de Alicante
Universidad de Alicante (UA)
Universidad de Alicante (UA)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::85b509feeb334d23dd6e534bfa0af3e7
http://hdl.handle.net/10045/124229
http://hdl.handle.net/10045/124229
Autor:
Tapia, Juan E., Damer, Naser, Busch, Christoph, Espin, Juan M., Barrachina, Javier, Rocamora, Alvaro S., Ocvirk, Kristof, Alessio, Leon, Batagelj, Borut, Patwardhan, Sushrut, Ramachandra, Raghavendra, Mudgalgundurao, Raghavendra, Raja, Kiran, Schulz, Daniel, Aravena, Carlos
This paper summarises the Competition on Presentation Attack Detection on ID Cards (PAD-IDCard) held at the 2024 International Joint Conference on Biometrics (IJCB2024). The competition attracted a total of ten registered teams, both from academia an
Externí odkaz:
http://arxiv.org/abs/2409.00372
Publikováno v:
Sound and Music Computing Conference (SMC2024)
In the Western music tradition, chords are the main constituent components of harmony, a fundamental dimension of music. Despite its relevance for several Music Information Retrieval (MIR) tasks, chord-annotated audio datasets are limited and need mo
Externí odkaz:
http://arxiv.org/abs/2408.00674
Autoregressive generative transformers are key in music generation, producing coherent compositions but facing challenges in human-machine collaboration. We propose RefinPaint, an iterative technique that improves the sampling process. It does this b
Externí odkaz:
http://arxiv.org/abs/2407.09099
Akademický článek
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Adversarial attacks in Natural Language Processing apply perturbations in the character or token levels. Token-level attacks, gaining prominence for their use of gradient-based methods, are susceptible to altering sentence semantics, leading to inval
Externí odkaz:
http://arxiv.org/abs/2405.04346
Autor:
Ferrández, Antonio, Lavigne-Cerván, Rocío, Peral, Jesús, Navarro-Soria, Ignasi, Lloret, Ángel, Gil, David, Rocamora, Carmen
Publikováno v:
PeerJ Computer Science, Volume 10, February 2024, ID e1866
In this article, we present CuentosIE (TalesEI: chatbot of tales with a message to develop Emotional Intelligence), an educational chatbot on emotions that also provides teachers and psychologists with a tool to monitor their students/patients throug
Externí odkaz:
http://arxiv.org/abs/2403.07193
Autor:
Rocamora, Manuel, Ascasibar, Yago, Sánchez-Conde, Miguel A., Wechakama, Maneenate, Luque, Pedro de la Torre
We study the origin of the positron excess observed in the local cosmic-ray spectrum at high energies, and relate it to the cosmic rays and gamma-ray emission across the entire Galaxy. In particular, we explore the hypothesis of a single, dominant so
Externí odkaz:
http://arxiv.org/abs/2403.03303