Zobrazeno 1 - 10
of 7 502
pro vyhledávání: '"Sasse P"'
Visual localization has become a key enabling component of many place recognition and SLAM systems. Contemporary research has primarily focused on improving accuracy and precision-recall type metrics, with relatively little attention paid to a system
Externí odkaz:
http://arxiv.org/abs/1902.01549
Autor:
Varda Milan
Publikováno v:
Journal of Regional Security, Vol 18, Iss 2, Pp 221-223 (2023)
Externí odkaz:
https://doaj.org/article/8d9749c614eb4dac8c6386294d3abf1d
As Vision Language Models (VLMs) gain widespread use, their fairness remains under-explored. In this paper, we analyze demographic biases across five models and six datasets. We find that portrait datasets like UTKFace and CelebA are the best tools f
Externí odkaz:
http://arxiv.org/abs/2410.13146
Federated Kolmogorov-Arnold Networks (F-KANs) have already been proposed, but their assessment is at an initial stage. We present a comparison between KANs (using B-splines and Radial Basis Functions as activation functions) and Multi- Layer Perceptr
Externí odkaz:
http://arxiv.org/abs/2410.08961
Background: Machine learning methods for clinical named entity recognition and entity normalization systems can utilize both labeled corpora and Knowledge Graphs (KGs) for learning. However, infrequently occurring concepts may have few mentions in tr
Externí odkaz:
http://arxiv.org/abs/2410.07951
Autor:
Chen, Shan, Gao, Mingye, Sasse, Kuleen, Hartvigsen, Thomas, Anthony, Brian, Fan, Lizhou, Aerts, Hugo, Gallifant, Jack, Bitterman, Danielle
Background: Large language models (LLMs) are trained to follow directions, but this introduces a vulnerability to blindly comply with user requests even if they generate wrong information. In medicine, this could accelerate the generation of misinfor
Externí odkaz:
http://arxiv.org/abs/2409.20385
Autor:
Herpich, Fabio R., Almeida-Fernandes, Felipe, Schwarz, Gustavo B. Oliveira, Lima, Erik V. R., Nakazono, Lilianne, Alonso-García, Javier, Fonseca-Faria, Marcos A., Sartori, Marilia J., Bolutavicius, Guilherme F., de Souza, Gabriel Fabiano, Hartmann, Eduardo A., Li, Liana, Espinosa, Luna, Kanaan, Antonio, Schoenell, William, Werle, Ariel, Machado-Pereira, Eduardo, Gutiérrez-Soto, Luis A., Santos-Silva, Thaís, Castelli, Analia V. Smith, Lacerda, Eduardo A. D., Barbosa, Cassio L., Perottoni, Hélio D., Lopes, Carlos E. Ferreira, Valença, Raquel Ruiz, Martho, Pierre Augusto Re, Bom, Clecio R., Bonatto, Charles J., Carvalho, Maiara S., Cernic, Vitor, Fernandes, Roberto Cid, Coelho, Paula, Cortesi, Ariana, Palma, Barbara Cubillos, Doubrawa, Lia, Alberice, Vincenzo Sivero Ferreira, Huaynasi, Fredi Quispe, Perin, Gabriel Jacob, Arancibia, Marcelo Jaque, Krabbe, Angela, Lima-Dias, Ciria, Lomelí-Núñez, Luis, de Oliveira, Raimundo Lopes, Lopes, Amanda R., Figueiredo, André Luiz, Lösch, Elismar, Navarete, Felipe, de Oliveira, Julia Mello, Overzier, Roderik, Placco, Vinicius M., Roig, Fernando V., Rubet, Mariana, Santos, André, Sasse, Victor Hugo, Thaina-Batista, Julia, Torres-Flores, Sergio, Beers, Timothy C., Alvarez-Candal, Alvaro, Akras, Stavros, Panda, Swayamtrupta, Limberg, Guilherme, Castellón, José Luis Nilo, Telles, Eduardo, Lopes, Paulo Afranio, Montaguth, Gissel Dayana Pardo, Silva, Leandro Beraldo e, Humire, Pedro K., Fernandes, Marcelo Borges, Cordeiro, Vinícius, Ribeiro, Tiago, de Oliveira, Claudia Mendes
The Southern Photometric Local Universe Survey (S-PLUS) is a project to map $\sim9300$ sq deg of the sky using twelve bands (seven narrow and five broadbands). Observations are performed with the T80-South telescope, a robotic telescope located at th
Externí odkaz:
http://arxiv.org/abs/2407.20701
Autor:
Isaev Sergey Aleksandrovich
Publikováno v:
Религия, церковь, общество, Vol 3, Pp 361-372 (2014)
Translation of the book “Here we stand. Who are the Lutherans?” by Hermann Sasse appeared twenty years ago and was thought, as follows from its title, to clarify the features of confessional identity for Russian Lutherans. However, the author arg
Externí odkaz:
https://doaj.org/article/6786b6a8cae1482397c9ffec1d4ec185
While large language models (LLMs) are extremely capable at text generation, their outputs are still distinguishable from human-authored text. We explore this separation across many metrics over text, many sampling techniques, many types of text data
Externí odkaz:
http://arxiv.org/abs/2401.15476
Very-high energy (GeV-TeV) gamma rays in the universe suggest the presence of an accelerator in the source. Neutrinos and gamma rays are intriguing astrophysical messengers. Multi-messenger particle emission produced by interactions of cosmic rays wi
Externí odkaz:
http://arxiv.org/abs/2312.02389