E-LIB Suche - Ergebnisse für: Pedronette, Daniel C. G.

1

Robust deep learning for eye fundus images: Bridging real a..:

Oliveira, Guilherme C. ; Rosa, Gustavo H. ; Pedronette, Daniel C.G....
Biomedical Signal Processing and Control. 94 (2024) - p. 106263 , 2024

Link: https://doi.org/10.1016/..

2

PetroBERT: A Domain Adaptation Language Model for Oil and G..:

, In: Lecture Notes in Computer Science; Computational Processing of the Portuguese Language,

Rodrigues, Rafael B. M. ; Privatto, Pedro I. M. ; de Sousa, Gustavo José... - p. 101-109 , 2022

Link: https://doi.org/10.1007/..

3

Mixup-Based Deep Metric Learning Approaches for Incomplete ..:

, In: 2022 IEEE International Conference on Image Processing (ICIP),

Buris, Luiz H. ; Pedronette, Daniel C. G. ; Papa, Joao P.... - p. 2581-2585 , 2022

Link: https://doi.org/10.1109/..

4

Contextual Spaces Re‐Ranking: accelerating the Re‐sort Rank..:

Pisani, Flávia ; Pedronette, Daniel C. G. ; Torres, Ricardo da S..
Concurrency and Computation: Practice and Experience. 29 (2016) 22 - p. , 2016

Link: https://doi.org/10.1002/..

5

Unsupervised Distance Learning By Reciprocal kNN Distance f..:

, In: Proceedings of International Conference on Multimedia Retrieval,

Pedronette, Daniel C. G. ; Penatti, Otávio A. B. ; Calumby, Rodrigo T.. - p. 345-352 , 2014

Link: https://dl.acm.org/doi/1..

6

Which Generative Adversarial Network Yields High-Quality Sy..:

Oliveira, Guilherme C ; Rosa, Gustavo H ; Pedronette, Daniel C. G...
http://arxiv.org/abs/2203.13856. , 2022

Link: http://arxiv.org/abs/220..

7

Mixup-based Deep Metric Learning Approaches for Incomplete ..:

Buris, Luiz H ; Pedronette, Daniel C. G ; Papa, Joao P...
http://arxiv.org/abs/2204.13572. , 2022

Link: http://arxiv.org/abs/220..

8

Improving Optimum-Path Forest Classification Using Unsuperv..:

Afonso, Luis C. S ; Pedronette, Daniel C. G ; Souza, Andre N. de..
2018 24th International Conference On Pattern Recognition (icpr). , 2018

Link: http://hdl.handle.net/11..

9

Manifold Correlation Graph for Semi-Supervised Learning:

Valem, Lucas Pascotti ; Pedronette, Daniel C. G ; Breve, Fabricio.
Proceedings of the International Joint Conference on Neural Networks. , 2018

Link: http://hdl.handle.net/11..

10

Improving Optimum- Path Forest Classification Using Unsuper..:

Afonso, Luis C. S ; Pedronette, Daniel C. G ; De Souza, Andre N.
Proceedings - International Conference on Pattern Recognition. , 2018

Link: http://hdl.handle.net/11..

11

Contextual Spaces Re-Ranking: accelerating the Re-sort Rank..:

Pisani, Flávia ; Pedronette, Daniel C. G ; Torres, Ricardo da S.
Concurrency Computation. , 2017

Link: http://hdl.handle.net/11..

12

A rank aggregation framework for video interestingness pred..:

Almeida, Jurandy ; Valem, Lucas P ; Pedronette, Daniel C. G
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). , 2017

Link: http://hdl.handle.net/11..

13

Diagnostic Support for Alzheimers Disease through Feature-B..:

Padovese, Bruno T ; Salvadeo, Denis H. P ; Pedronette, Daniel C. G
Proceedings - 2016 IEEE 16th International Conference on Bioinformatics and Bioengineering, BIBE 2016. , 2016

Link: http://hdl.handle.net/11..

14

RECOD @ placing task of MediaEval 2015:

Li, Lin Tzy ; Muñoz, Javier A. V ; Almeida, Jurandy...
CEUR Workshop Proceedings. , 2015

Link: http://hdl.handle.net/11..

15

Unsupervised distance learning by reciprocal kNN distance f..:

Pedronette, Daniel C. G ; Penatti, Otávio A. B ; Calumby, Rodrigo T.
ICMR 2014 - Proceedings of the ACM International Conference on Multimedia Retrieval 2014. , 2014

Link: http://hdl.handle.net/11..