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ORCIDKelwin Fernandes
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2020 – today
- 2021
[c23]Joana Trindade
, João Vinagre, Kelwin Fernandes, Nuno Paiva, Alípio Jorge:
Partially Monotonic Learning for Neural Networks. IDA 2021: 12-23- 2020
- [j8]Isabel Rio-Torto, Kelwin Fernandes, Luís F. Teixeira:
Understanding the decisions of CNNs: An in-model approach. Pattern Recognit. Lett. 133: 373-380 (2020)
2010 – 2019
- 2019
- [j7]Kelwin Fernandes, Jaime S. Cardoso:
Hypothesis transfer learning based on structural model similarity. Neural Comput. Appl. 31(8): 3417-3430 (2019) - [j6]Ricardo J. Araújo, Kelwin Fernandes, Jaime S. Cardoso:
Sparse Multi-Bending Snakes. IEEE Trans. Image Process. 28(8): 3898-3909 (2019) - [c22]José Rebelo, Kelwin Fernandes, Jaime S. Cardoso:
Quality-based Regularization for Iterative Deep Image Segmentation. EMBC 2019: 6734-6737 - [c21]Isabel Rio-Torto, Kelwin Fernandes, Luís F. Teixeira:
Towards a Joint Approach to Produce Decisions and Explanations Using CNNs. IbPRIA (1) 2019: 3-15 - [c20]Wilson Silva, Kelwin Fernandes, Jaime S. Cardoso:
How to produce complementary explanations using an Ensemble Model. IJCNN 2019: 1-8 - [c19]Eduardo Nuno Almeida, Kelwin Fernandes, Francisco Andrade, Pedro Moreira da Silva, Rui Campos, Manuel Ricardo:
A Machine Learning Based Quality of Service Estimator for Aerial Wireless Networks. WiMob 2019: 1-6 - 2018
- [b1]Kelwin Fernandes:
Fundamental Topics in Machine Intelligence and their Application to Digital Colposcopy. University of Porto, Portugal, 2018 - [j5]Kelwin Fernandes, Jaime S. Cardoso, Jessica Fernandes:
Automated Methods for the Decision Support of Cervical Cancer Screening Using Digital Colposcopies. IEEE Access 6: 33910-33927 (2018) - [j4]Kelwin Fernandes, Jaime S. Cardoso, Birgitte Schmidt Astrup:
A deep learning approach for the forensic evaluation of sexual assault. Pattern Anal. Appl. 21(3): 629-640 (2018) - [j3]Ricardo P. M. Cruz, Kelwin Fernandes, Joaquim F. Pinto da Costa, María Pérez-Ortiz, Jaime S. Cardoso:
Binary ranking for ordinal class imbalance. Pattern Anal. Appl. 21(4): 931-939 (2018) - [j2]Kelwin Fernandes, Davide Chicco, Jaime S. Cardoso, Jessica Fernandes:
Supervised deep learning embeddings for the prediction of cervical cancer diagnosis. PeerJ Comput. Sci. 4: e154 (2018) - [c18]Kelwin Fernandes, Jaime S. Cardoso:
Ordinal Image Segmentation using Deep Neural Networks. IJCNN 2018: 1-7 - [c17]Kelwin Fernandes, Ricardo P. M. Cruz, Jaime S. Cardoso:
Deep Image Segmentation by Quality Inference. IJCNN 2018: 1-8 - [c16]Wilson Silva, Kelwin Fernandes, Maria João Cardoso, Jaime S. Cardoso:
Towards Complementary Explanations Using Deep Neural Networks. MLCN/DLF/iMIMIC@MICCAI 2018: 133-140 - [i2]Pedro M. Ferreira, Diogo Pernes, Kelwin Fernandes, Ana Rebelo, Jaime S. Cardoso:
Dimensional emotion recognition using visual and textual cues. CoRR abs/1805.01416 (2018) - 2017
- [c15]Ricardo P. M. Cruz, Kelwin Fernandes, Joaquim F. Pinto da Costa, María Pérez-Ortiz, Jaime S. Cardoso:
Ordinal Class Imbalance with Ranking. IbPRIA 2017: 3-12 - [c14]Kelwin Fernandes, Jaime S. Cardoso, Jessica Fernandes:
Transfer Learning with Partial Observability Applied to Cervical Cancer Screening. IbPRIA 2017: 243-250 - [c13]Kelwin Fernandes, Jaime S. Cardoso, Birgitte Schmidt Astrup:
Automated Detection and Categorization of Genital Injuries Using Digital Colposcopy. IbPRIA 2017: 251-258 - [c12]María Pérez-Ortiz, Kelwin Fernandes, Ricardo P. M. Cruz, Jaime S. Cardoso, Javier Briceño, César Hervás-Martínez:
Fine-to-Coarse Ranking in Ordinal and Imbalanced Domains: An Application to Liver Transplantation. IWANN (2) 2017: 525-537 - [c11]Ricardo P. M. Cruz, Kelwin Fernandes, Joaquim F. Pinto da Costa, María Pérez-Ortiz, Jaime S. Cardoso:
Combining Ranking with Traditional Methods for Ordinal Class Imbalance. IWANN (2) 2017: 538-548 - [c10]Ricardo P. M. Cruz, Kelwin Fernandes, Joaquim F. Pinto da Costa, Jaime S. Cardoso:
Constraining Type II Error: Building Intentionally Biased Classifiers. IWANN (2) 2017: 549-560 - [d3]Kelwin Fernandes, Jaime S. Cardoso, Jessica Fernandes:
Cervical cancer (Risk Factors). UCI Machine Learning Repository, 2017
- [d2]Kelwin Fernandes, Jaime S. Cardoso, Jessica Fernandes:
Quality Assessment of Digital Colposcopies. UCI Machine Learning Repository, 2017 - [i1]Kelwin Fernandes, Jaime S. Cardoso:
Deep Local Binary Patterns. CoRR abs/1711.06597 (2017) - 2016
- [j1]Kelwin Fernandes, Jaime S. Cardoso:
Discriminative directional classifiers. Neurocomputing 207: 141-149 (2016) - [c9]Kelwin Fernandes, Jaime S. Cardoso, Héctor Palacios:
Learning and ensembling lexicographic preference trees with multiple kernels. IJCNN 2016: 2140-2147 - [c8]Ricardo P. M. Cruz, Kelwin Fernandes, Jaime S. Cardoso, Joaquim F. Pinto da Costa:
Tackling class imbalance with ranking. IJCNN 2016: 2182-2187 - 2015
- [c7]Maria Leonor Pacheco, Kelwin Fernandes, Aldo Porco:
Random Forest with Increased Generalization: A Universal Background Approach for Authorship Verification. CLEF (Working Notes) 2015 - [c6]Kelwin Fernandes, Pedro Vinagre, Paulo Cortez:
A Proactive Intelligent Decision Support System for Predicting the Popularity of Online News. EPIA 2015: 535-546 - [c5]Kelwin Fernandes, Jaime S. Cardoso, Jessica Fernandes:
Temporal Segmentation of Digital Colposcopies. IbPRIA 2015: 262-271 - [d1]Kelwin Fernandes, Pedro Vinagre, Paulo Cortez, Pedro Sernadela:
Online News Popularity. UCI Machine Learning Repository, 2015 - 2014
- [c4]Kelwin Fernandes, Pedro F. B. Silva, Lucian Ciobanu, Paulo Fonseca:
Catalogue-Based Traffic Sign Asset Management: Towards User's Effort Minimisation. ICIAR (1) 2014: 301-308 - [c3]Kelwin Fernandes, Lucian Ciobanu:
Pavement pathologies classification using graph-based features. ICIP 2014: 793-797 - 2012
- [c2]Kelwin Fernandes, Carolina Chang:
Teeth/Palate and Interdental Segmentation Using Artificial Neural Networks. ANNPR 2012: 175-185 - [c1]Kelwin Fernandes, Glebys González, Carolina Chang:
A*mbush Family: A* Variations for Ambush Behavior and Path Diversity Generation. MIG 2012: 314-325
Coauthor Index
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