Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Renato Negrinho"'
Autor:
Joana Carvalho, Renato Negrinho, Sarah Azinheiro, Alejandro Garrido-Maestu, Jorge Barros-Velázquez, Marta Prado
Publikováno v:
Data in Brief, Vol 21, Iss , Pp 424-431 (2018)
This article contains data related to the research article entitled “Novel approach for accurate minute DNA quantification on microvolumetric solutions” (Carvalho et al., 2018). The combination of PicoGreen® with a microvolume fluorospectrometer
Externí odkaz:
https://doaj.org/article/e315ffc2420540cb96a501e8a0ee35ec
Autor:
Longxiang Zhang, Renato Negrinho, Arindam Ghosh, Vasudevan Jagannathan, Hamid Reza Hassanzadeh, Thomas Schaaf, Matthew R. Gormley
Fine-tuning pretrained models for automatically summarizing doctor-patient conversation transcripts presents many challenges: limited training data, significant domain shift, long and noisy transcripts, and high target summary variability. In this pa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::36571c6149eaddde5166dad9c20725e0
http://arxiv.org/abs/2109.12174
http://arxiv.org/abs/2109.12174
Publikováno v:
EMNLP (Findings)
Structured prediction is often approached by training a locally normalized model with maximum likelihood and decoding approximately with beam search. This approach leads to mismatches as, during training, the model is not exposed to its mistakes and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6ff4543016c2f2dca364842262bd1495
http://arxiv.org/abs/2010.04980
http://arxiv.org/abs/2010.04980
Autor:
Alejandro Garrido-Maestu, Jorge Barros-Velázquez, Renato Negrinho, Joana Carvalho, Marta Prado, Sarah Azinheiro
Publikováno v:
Data in Brief, Vol 21, Iss, Pp 424-431 (2018)
Data in Brief
Data in Brief
This article contains data related to the research article entitled “Novel approach for accurate minute DNA quantification on microvolumetric solutions” (Carvalho et al., 2018). The combination of PicoGreen® with a microvolume fluorospectrometer
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0445e33b52dc2eb40372b4f85c6bf780
http://www.sciencedirect.com/science/article/pii/S2352340918311764
http://www.sciencedirect.com/science/article/pii/S2352340918311764
Autor:
Sarah Azinheiro, Jorge Barros-Velázquez, Renato Negrinho, Alejandro Garrido-Maestu, Joana Carvalho, Marta Prado
Publikováno v:
Microchemical Journal. 138:540-549
The optimization and evaluation of the performance of microfluidic devices for DNA purification requires the use of a reliable DNA quantification method. The samples collected from these devices usually have small volumes and, in the case of food, fo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d20c3ed3db934d7689b5ff1239153cab
https://doi.org/10.1016/j.microc.2018.02.001
https://doi.org/10.1016/j.microc.2018.02.001
Publikováno v:
CVPR
The majority of current object detectors lack context: class predictions are made independently from other detections. We propose to incorporate context in object detection by post-processing the output of an arbitrary detector to rescore the confide
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f3769c15c18f379bdb556d7b33ebe687
Autor:
Renato Negrinho, Pedro Aguiar
Publikováno v:
ICIP
We discuss the usage of symmetric polynomials for representing 2D shapes in their most general form, i.e., arbitrary sets of unlabeled points in the plane. Although particular families of these polynomials have been used in the past, we present gener
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::93805f6bd6331d861023a5f6634a782d
https://doi.org/10.1109/icip.2014.7025959
https://doi.org/10.1109/icip.2014.7025959
Autor:
Renato Negrinho, Pedro Aguiar
Publikováno v:
ICIP
We address the representation of two-dimensional shape in its most general form, i.e., arbitrary sets of points, that may arise in multiple situations, e.g., sparse sets of specific landmarks, or dense sets of image edge points. Our goal are recognit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::63566b9debd9a97eb544f2d5d14f2bac
https://doi.org/10.1109/icip.2013.6738726
https://doi.org/10.1109/icip.2013.6738726
Autor:
Li, Junyi1 (AUTHOR) lijunyi@ruc.edu.cn, Tang, Tianyi2 (AUTHOR) steventianyitang@outlook.com, Zhao, Wayne Xin2 (AUTHOR) batmanfly@gmail.com, Nie, Jian-Yun3 (AUTHOR) nie@iro.umontreal.ca, Wen, Ji-Rong2 (AUTHOR) jrwen@ruc.edu.cn
Publikováno v:
ACM Computing Surveys. Sep2024, Vol. 56 Issue 9, p1-39. 39p.
Autor:
QI JIA1 Jia_qi@sjtu.edu.cn, YIZHU LIU liuyizhu@meituan.com, SIYU REN1 roy0702@sjtu.edu.cn, ZHU, KENNY Q.2 kenny.zhu@uta.edu
Publikováno v:
ACM Computing Surveys. Mar2024, Vol. 56 Issue 3, p1-38. 38p.