Kelwin Fernandes

Orcid: 0000-0002-6838-9484

According to our database1, Kelwin Fernandes authored at least 37 papers between 2012 and 2021.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2021
Partially Monotonic Learning for Neural Networks.
Proceedings of the Advances in Intelligent Data Analysis XIX, 2021

2020
Understanding the decisions of CNNs: An in-model approach.
Pattern Recognit. Lett., 2020

2019
Sparse Multi-Bending Snakes.
IEEE Trans. Image Process., 2019

Hypothesis transfer learning based on structural model similarity.
Neural Comput. Appl., 2019

A Machine Learning Based Quality of Service Estimator for Aerial Wireless Networks.
Proceedings of the 2019 International Conference on Wireless and Mobile Computing, 2019

How to produce complementary explanations using an Ensemble Model.
Proceedings of the International Joint Conference on Neural Networks, 2019

Towards a Joint Approach to Produce Decisions and Explanations Using CNNs.
Proceedings of the Pattern Recognition and Image Analysis - 9th Iberian Conference, 2019

Quality-based Regularization for Iterative Deep Image Segmentation.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

2018
Fundamental Topics in Machine Intelligence and their Application to Digital Colposcopy
PhD thesis, 2018

Supervised deep learning embeddings for the prediction of cervical cancer diagnosis.
PeerJ Comput. Sci., 2018

A deep learning approach for the forensic evaluation of sexual assault.
Pattern Anal. Appl., 2018

Binary ranking for ordinal class imbalance.
Pattern Anal. Appl., 2018

Dimensional emotion recognition using visual and textual cues.
CoRR, 2018

Automated Methods for the Decision Support of Cervical Cancer Screening Using Digital Colposcopies.
IEEE Access, 2018

Towards Complementary Explanations Using Deep Neural Networks.
Proceedings of the Understanding and Interpreting Machine Learning in Medical Image Computing Applications, 2018

Deep Image Segmentation by Quality Inference.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Ordinal Image Segmentation using Deep Neural Networks.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

2017
Quality Assessment of Digital Colposcopies.
Dataset, March, 2017

Cervical cancer (Risk Factors).
Dataset, March, 2017

Deep Local Binary Patterns.
CoRR, 2017

Fine-to-Coarse Ranking in Ordinal and Imbalanced Domains: An Application to Liver Transplantation.
Proceedings of the Advances in Computational Intelligence, 2017

Combining Ranking with Traditional Methods for Ordinal Class Imbalance.
Proceedings of the Advances in Computational Intelligence, 2017

Constraining Type II Error: Building Intentionally Biased Classifiers.
Proceedings of the Advances in Computational Intelligence, 2017

Transfer Learning with Partial Observability Applied to Cervical Cancer Screening.
Proceedings of the Pattern Recognition and Image Analysis - 8th Iberian Conference, 2017

Automated Detection and Categorization of Genital Injuries Using Digital Colposcopy.
Proceedings of the Pattern Recognition and Image Analysis - 8th Iberian Conference, 2017

Ordinal Class Imbalance with Ranking.
Proceedings of the Pattern Recognition and Image Analysis - 8th Iberian Conference, 2017

2016
Discriminative directional classifiers.
Neurocomputing, 2016

Learning and ensembling lexicographic preference trees with multiple kernels.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Tackling class imbalance with ranking.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

2015
Online News Popularity.
Dataset, May, 2015

Temporal Segmentation of Digital Colposcopies.
Proceedings of the Pattern Recognition and Image Analysis - 7th Iberian Conference, 2015

A Proactive Intelligent Decision Support System for Predicting the Popularity of Online News.
Proceedings of the Progress in Artificial Intelligence, 2015

Random Forest with Increased Generalization: A Universal Background Approach for Authorship Verification.
Proceedings of the Working Notes of CLEF 2015, 2015

2014
Pavement pathologies classification using graph-based features.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

Catalogue-Based Traffic Sign Asset Management: Towards User's Effort Minimisation.
Proceedings of the Image Analysis and Recognition - 11th International Conference, 2014

2012
A*mbush Family: A* Variations for Ambush Behavior and Path Diversity Generation.
Proceedings of the Motion in Games - 5th International Conference, 2012

Teeth/Palate and Interdental Segmentation Using Artificial Neural Networks.
Proceedings of the Artificial Neural Networks in Pattern Recognition, 2012


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