Kelwin Fernandes
Kelwin Fernandes
NILG.AI
Email verificata su nilg.ai - Home page
TitoloCitata daAnno
A proactive intelligent decision support system for predicting the popularity of online news
K Fernandes, P Vinagre, P Cortez
Progress in Artificial Intelligence: 17th Portuguese Conference on …, 2015
1112015
Transfer Learning with Partial Observability Applied to Cervical Cancer Screening
K Fernandes, JS Cardoso, J Fernandes
Iberian Conference on Pattern Recognition and Image Analysis, 243-250, 2017
692017
Tackling class imbalance with ranking
R Cruz, K Fernandes, JS Cardoso, JFP Costa
2016 International joint conference on neural networks (IJCNN), 2182-2187, 2016
222016
Random Forest with Increased Generalization: A Universal Background Approach for Authorship Verification.
ML Pacheco, K Fernandes, A Porco
CLEF (Working Notes), 2015
172015
Pavement pathologies classification using graph-based features
K Fernandes, L Ciobanu
2014 IEEE International Conference on Image Processing (ICIP), 793-797, 2014
172014
Supervised deep learning embeddings for the prediction of cervical cancer diagnosis
K Fernandes, D Chicco, JS Cardoso, J Fernandes
PeerJ Computer Science 4, e154, 2018
152018
Temporal Segmentation of Digital Colposcopies
K Fernandes, JS Cardoso, J Fernandes
Iberian Conference on Pattern Recognition and Image Analysis, 262-271, 2015
142015
Automated Methods for the Decision Support of Cervical Cancer Screening Using Digital Colposcopies
K Fernandes, JS Cardoso, J Fernandes
IEEE Access 6, 33910-33927, 2018
102018
Teeth/Palate and interdental segmentation using artificial neural networks
K Fernandez, C Chang
IAPR Workshop on Artificial Neural Networks in Pattern Recognition, 175-185, 2012
102012
Deep image segmentation by quality inference
K Fernandes, R Cruz, JS Cardoso
2018 International Joint Conference on Neural Networks (IJCNN), 1-8, 2018
92018
Combining Ranking with Traditional Methods for Ordinal Class Imbalance
R Cruz, K Fernandes, JFP Costa, MP Ortiz, JS Cardoso
International Work-Conference on Artificial Neural Networks, 538-548, 2017
72017
Constraining Type II Error: Building Intentionally Biased Classifiers
R Cruz, K Fernandes, JFP Costa, JS Cardoso
International Work-Conference on Artificial Neural Networks, 549-560, 2017
62017
Discriminative Directional Classifiers
K Fernandes, JS Cardoso
Neurocomputing, 2016
62016
Ordinal Class Imbalance with Ranking
R Cruz, K Fernandes, JFP Costa, MP Ortiz, JS Cardoso
Iberian Conference on Pattern Recognition and Image Analysis, 3-12, 2017
52017
Learning and ensembling lexicographic preference trees with multiple kernels
K Fernandes, JS Cardoso, H Palacios
2016 International Joint Conference on Neural Networks (IJCNN), 2140-2147, 2016
52016
Binary ranking for ordinal class imbalance
R Cruz, K Fernandes, JFP Costa, MP Ortiz, JS Cardoso
Pattern Analysis and Applications 21 (4), 931-939, 2018
42018
A deep learning approach for the forensic evaluation of sexual assault
K Fernandes, JS Cardoso, BS Astrup
Pattern Analysis and Applications 21 (3), 629-640, 2018
42018
Ordinal image segmentation using deep neural networks
K Fernandes, JS Cardoso
2018 International Joint Conference on Neural Networks (IJCNN), 1-7, 2018
42018
Automated Detection and Categorization of Genital Injuries Using Digital Colposcopy
K Fernandes, JS Cardoso, BS Astrup
Iberian Conference on Pattern Recognition and Image Analysis, 251-258, 2017
42017
Towards Complementary Explanations Using Deep Neural Networks
W Silva, K Fernandes, MJ Cardoso, JS Cardoso
Understanding and Interpreting Machine Learning in Medical Image Computing …, 2018
32018
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