Zobrazeno 1 - 10
of 20 886
pro vyhledávání: '"Belen, P."'
Early and accurate melanoma detection is crucial for improving patient outcomes. Recent advancements in artificial intelligence AI have shown promise in this area, but the technologys effectiveness across diverse skin tones remains a critical challen
Externí odkaz:
http://arxiv.org/abs/2411.12846
Autor:
Brown, B. Alex, Gade, Alexandra, Stroberg, S. Ragnar, Escher, Jutta, Fossez, Kevin, Giuliani, Pablo, Hoffman, Calem R., Nazarewicz, Witold, Seng, Chien-Yeah, Sorensen, Agnieszka, Vassh, Nicole, Bazin, Daniel, Brown, Kyle W., Capri, Mark A., Crawford, Heather, Danielewic, Pawel, Drischler, Christian, Ruiz, Ronald F. Garcia, Godbey, Kyle, Grzywacz, Robert, Hlophe, Linda, Holt, Jeremy W., Iwasaki, Hiro, Lee, Dean, Lenzi, Silvia M., Liddick, Sean, Lubna, Rebeka, Macchiavelli, Augusto O., Pinedo, Gabriel Martinez, McCoy, Anna, Mercenne, Alexis, Minamisono, Kei, Monteagudo, Belen, Navratil, Petr, Ringle, Ryan, Sargsyan, Grigor, Schatz, Hendrik, Spieker, Mark-Christoph, Volya, Alexander, Zegers, Remco G. T., Zelevinsky, Vladimir, Zhang, Xilin
This white paper is the result of a collaboration by those that attended a workshop at the Facility for Rare Isotope Beams (FRIB), organized by the FRIB Theory Alliance (FRIB-TA), on Theoretical Justifications and Motivations for Early High-Profile F
Externí odkaz:
http://arxiv.org/abs/2410.06144
Autor:
Solís-García, Javier, Vega-Márquez, Belén, Nepomuceno, Juan A., Nepomuceno-Chamorro, Isabel A.
The problem of imputing multivariate time series spans a wide range of fields, from clinical healthcare to multi-sensor systems. Initially, Recurrent Neural Networks (RNNs) were employed for this task; however, their error accumulation issues led to
Externí odkaz:
http://arxiv.org/abs/2410.05916
Direct speech-to-text translation systems encounter an important drawback in data scarcity. A common solution consists on pretraining the encoder on automatic speech recognition, hence losing efficiency in the training process. In this study, we comp
Externí odkaz:
http://arxiv.org/abs/2409.18044
Publikováno v:
Comp. Appl. Math. 41, 424 (2022)
A vertex subset S of a graph G is said to 2-dominate the graph if each vertex not in S has at least two neighbors in it. As usual, the associated parameter is the minimum cardinal of a 2-dominating set, which is called the 2-domination number of the
Externí odkaz:
http://arxiv.org/abs/2409.16703
Autor:
Serrano-Antón, Belén, Rehman, Mubashara, Martinel, Niki, Avanzo, Michele, Spizzo, Riccardo, Fanetti, Giuseppe, Muñuzuri, Alberto P., Micheloni, Christian
For the planning of radiotherapy treatments for head and neck cancers, Computed Tomography (CT) scans of the patients are typically employed. However, in patients with head and neck cancer, the quality of standard CT scans generated using kilo-Voltag
Externí odkaz:
http://arxiv.org/abs/2409.15155
It is commonly believed that failures of tomographic completeness undermine assessments of nonclassicality in noncontextuality experiments. In this work, we study how such failures can indeed lead to mistaken assessments of nonclassicality. We then s
Externí odkaz:
http://arxiv.org/abs/2409.13024
Autor:
Sánchez, Eduardo, Alastruey, Belen, Ropers, Christophe, Stenetorp, Pontus, Artetxe, Mikel, Costa-jussà, Marta R.
We propose a new benchmark to measure a language model's linguistic reasoning skills without relying on pre-existing language-specific knowledge. The test covers 894 questions grouped in 160 problems across 75 (mostly) extremely low-resource language
Externí odkaz:
http://arxiv.org/abs/2409.12126
Autor:
Ancelin, Brighton, Chen, Yenho, Guan, Peimeng, Kaushik, Chiraag, Martin-Urcelay, Belen, Saad-Falcon, Alex, Singh, Nakul
Learning semantically meaningful image transformations (i.e. rotation, thickness, blur) directly from examples can be a challenging task. Recently, the Manifold Autoencoder (MAE) proposed using a set of Lie group operators to learn image transformati
Externí odkaz:
http://arxiv.org/abs/2409.09542
Autor:
Wijekoon, Anjana, Wiratunga, Nirmalie, Corsar, David, Martin, Kyle, Nkisi-Orji, Ikechukwu, Palihawadana, Chamath, Caro-Martínez, Marta, Díaz-Agudo, Belen, Bridge, Derek, Liret, Anne
Explainable AI (XAI) can greatly enhance user trust and satisfaction in AI-assisted decision-making processes. Recent findings suggest that a single explainer may not meet the diverse needs of multiple users in an AI system; indeed, even individual u
Externí odkaz:
http://arxiv.org/abs/2408.12941