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Andre G. C. Pacheco
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A-TOPSIS–an approach based on TOPSIS for ranking evolutionary algorithms
RA Krohling, AGC Pacheco
Procedia Computer Science 55, 308-317, 2015
2602015
PAD-UFES-20: A skin lesion dataset composed of patient data and clinical images collected from smartphones
AGC Pacheco, GR Lima, AS Salomao, B Krohling, IP Biral, GG de Angelo, ...
Data in brief 32, 106221, 2020
2102020
The impact of patient clinical information on automated skin cancer detection
AGC Pacheco, RA Krohling
Computers in biology and medicine 116, 103545, 2020
2092020
IF-TODIM: An intuitionistic fuzzy TODIM to multi-criteria decision making
RA Krohling, AGC Pacheco, ALT Siviero
Knowledge-Based Systems 53, 142-146, 2013
1882013
An attention-based mechanism to combine images and metadata in deep learning models applied to skin cancer classification
AGC Pacheco, RA Krohling
IEEE journal of biomedical and health informatics 25 (9), 3554-3563, 2021
1652021
Time series prediction using restricted boltzmann machines and backpropagation
R Hrasko, AGC Pacheco, RA Krohling
Procedia Computer Science 55, 990-999, 2015
912015
TODIM and TOPSIS with Z-numbers
RA Krohling, AGC Pacheco, GA dos Santos
Frontiers of Information Technology & Electronic Engineering 20 (2), 283-291, 2019
692019
Skin cancer detection based on deep learning and entropy to detect outlier samples
AGC Pacheco, AR Ali, T Trappenberg
Medical Image Computing and Computer Assisted Intervention (MICCAI) at Skin …, 2019
662019
Recent advances in deep learning applied to skin cancer detection
AGC Pacheco, RA Krohling
Neural Information Processing Systems @ Retrospectives workshop, 2019
592019
On out-of-distribution detection algorithms with deep neural skin cancer classifiers
AGC Pacheco, CS Sastry, T Trappenberg, S Oore, RA Krohling
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
522020
Interval-valued intuitionistic fuzzy TODIM
RA Krohling, AGC Pacheco
Procedia Computer Science 31, 236-244, 2014
452014
Restricted Boltzmann machine to determine the input weights for extreme learning machines
AGC Pacheco, RA Krohling, CAS da Silva
Expert Systems with Applications 96, 77-85, 2018
422018
Aggregation of neural classifiers using Choquet integral with respect to a fuzzy measure
AGC Pacheco, RA Krohling
Neurocomputing 292, 151-164, 2018
322018
Reconhecimento de imagens bidimensionais utilizando Redes Neurais Artificiais
G Perelmuter, EV Carrera, M Vellasco, A Pacheco
Anais do VIII Sibgrapi, 197-203, 1995
251995
An app to detect melanoma using deep learning: an approach to handle imbalanced data based on evolutionary algorithms
PBC Castro, B Krohling, AGC Pacheco, RA Krohling
2020 International Joint Conference on Neural Networks (IJCNN), 1-6, 2020
232020
A smartphone based application for skin cancer classification using deep learning with clinical images and lesion information
B Krohling, PBC Castro, AGC Pacheco, RA Krohling
arXiv preprint arXiv:2104.14353, 2021
222021
Skin lesion segmentation using deep learning for images acquired from smartphones
GGD Angelo, AGC Pacheco, RA Krohling
IEEE International Joint Conference on Neural Networks (IJCNN), 2019
222019
Detection of melanoma from skin lesion images using deep learning techniques
V Shah, P Autee, P Sonawane
2020 International Conference on Data Science and Engineering (ICDSE), 1-8, 2020
212020
Ranking of Classification Algorithms in Terms of Mean–Standard Deviation Using A-TOPSIS
AGC Pacheco, RA Krohling
Annals of Data Science, 1-18, 2018
202018
De novo assembly and characterization of the Trichuris trichiura adult worm transcriptome using Ion Torrent sequencing
LN Santos, ES Silva, AS Santos, PH De Sá, RT Ramos, A Silva, ...
Acta tropica 159, 132-141, 2016
182016
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