Zobrazeno 1 - 10
of 1 564
pro vyhledávání: '"Ramos, Daniel A."'
Autor:
Ramos, Daniel, Mamede, Claudia, Jain, Kush, Canelas, Paulo, Gamboa, Catarina, Goues, Claire Le
Large Language Models (LLMs) have become integral to various software engineering tasks, including code generation, bug detection, and repair. To evaluate model performance in these domains, numerous bug benchmarks containing real-world bugs from sof
Externí odkaz:
http://arxiv.org/abs/2411.13323
The pedestrian stress level is shown to significantly influence human cognitive processes and, subsequently, decision-making, e.g., the decision to select a gap and cross a street. This paper systematically studies the stress experienced by a pedestr
Externí odkaz:
http://arxiv.org/abs/2408.11769
Autor:
Ferrer, Luciana, Ramos, Daniel
Most machine learning classifiers are designed to output posterior probabilities for the classes given the input sample. These probabilities may be used to make the categorical decision on the class of the sample; provided as input to a downstream sy
Externí odkaz:
http://arxiv.org/abs/2408.02841
Autor:
Tran, Khanh, Ametepe, Brenda A. A. B., Gomez, Erika L., Ramos, Daniel, Kim, Clare, Suh, Ga-Young Kelly, Ahrar, Siavash, Ayala, Perla
Droplet microfluidics are a powerful approach for hydrogel cell encapsulations. Much of the field has focused on single-cell encapsulations with pico-nanoliter droplet volumes necessary for single-cell sequencing or high-throughput screening. These s
Externí odkaz:
http://arxiv.org/abs/2309.08012
Autor:
Ramos, Daniel, Mitchell, Hailie, Lynce, Inês, Manquinho, Vasco, Martins, Ruben, Goues, Claire Le
Publikováno v:
38th IEEE/ACM International Conference on Automated Software Engineering, ASE 2023, Luxembourg, September 11-15, 2023
Software developers often struggle to update APIs, leading to manual, time-consuming, and error-prone processes. We introduce MELT, a new approach that generates lightweight API migration rules directly from pull requests in popular library repositor
Externí odkaz:
http://arxiv.org/abs/2308.14687
Autor:
Haspel, Gal, Baker, Ben, Beets, Isabel, Boyden, Edward S, Brown, Jeffrey, Church, George, Cohen, Netta, Colon-Ramos, Daniel, Dyer, Eva, Fang-Yen, Christopher, Flavell, Steven, Goodman, Miriam B, Hart, Anne C, Izquierdo, Eduardo J, Kagias, Konstantinos, Lockery, Shawn, Lu, Yangning, Marblestone, Adam, Matelsky, Jordan, Mensh, Brett, Pereira, Talmo D, Pfister, Hanspeter, Rajan, Kanaka, Rotstein, Horacio G, Scholz, Monika, Shaevitz, Joshua W., Shlizerman, Eli, Simeon, Quilee, Skuhersky, Michael A, Tiruvadi, Vineet, Venkatachalam, Vivek, Wei, Donglai, Wester, Brock, Yang, Guangyu Robert, Yemini, Eviatar, Zimmer, Manuel, Kording, Konrad P
Just like electrical engineers understand how microprocessors execute programs in terms of how transistor currents are affected by their inputs, neuroscientists want to understand behavior production in terms of how neuronal outputs are affected by t
Externí odkaz:
http://arxiv.org/abs/2308.06578
Autor:
de Ramos, Daniel Carvalho1 (AUTHOR) danielcarvalhoramos@alunos.utfpr.edu.br, Ferreira, Lucas Reksua1 (AUTHOR) lucasreksua@alunos.utfpr.edu.br, Santos, Max Mauro Dias1 (AUTHOR) maxsantos@utfpr.edu.br, Teixeira, Evandro Leonardo Silva2 (AUTHOR) evandroleonardo@unb.br, Yoshioka, Leopoldo Rideki3 (AUTHOR) leopoldo.yoshioka@usp.br, Justo, João Francisco3 (AUTHOR) joao.justo@usp.br, Malik, Asad Waqar4 (AUTHOR) asad.malik@msstate.edu
Publikováno v:
Sensors (14248220). Nov2024, Vol. 24 Issue 22, p7219. 31p.
As biometric technology is increasingly deployed, it will be common to replace parts of operational systems with newer designs. The cost and inconvenience of reacquiring enrolled users when a new vendor solution is incorporated makes this approach di
Externí odkaz:
http://arxiv.org/abs/2211.13554
In this paper, we study the post-hoc calibration of modern neural networks, a problem that has drawn a lot of attention in recent years. Many calibration methods of varying complexity have been proposed for the task, but there is no consensus about h
Externí odkaz:
http://arxiv.org/abs/2208.00461
Autor:
Fierrez, Julian, Galbally, Javier, Ortega-Garcia, Javier, Freire, Manuel R, Alonso-Fernandez, Fernando, Ramos, Daniel, Toledano, Doroteo Torre, Gonzalez-Rodriguez, Joaquin, Siguenza, Juan A, Garrido-Salas, Javier, Anguiano, E, Gonzalez-de-Rivera, Guillermo, Ribalda, Ricardo, Faundez-Zanuy, Marcos, Ortega, JA, Cardeñoso-Payo, Valentín, Viloria, A, Vivaracho, Carlos E, Moro, Q Isaac, Igarza, Juan J, Sanchez, J, Hernaez, Inmaculada, Orrite-Urunuela, Carlos, Martinez-Contreras, Francisco, Gracia-Roche, Juan José
A new multimodal biometric database, acquired in the framework of the BiosecurID project, is presented together with the description of the acquisition setup and protocol. The database includes eight unimodal biometric traits, namely: speech, iris, f
Externí odkaz:
http://arxiv.org/abs/2111.03472