A-TOPSIS–an approach based on TOPSIS for ranking evolutionary algorithms RA Krohling, AGC Pacheco Procedia Computer Science 55, 308-317, 2015 | 231 | 2015 |
IF-TODIM: An intuitionistic fuzzy TODIM to multi-criteria decision making RA Krohling, AGC Pacheco, ALT Siviero Knowledge-Based Systems 53, 142-146, 2013 | 177 | 2013 |
The impact of patient clinical information on automated skin cancer detection AGC Pacheco, RA Krohling Computers in biology and medicine 116, 103545, 2020 | 165 | 2020 |
PAD-UFES-20: a skin lesion dataset composed of patient data and clinical images collected from smartphones AG Pacheco, GR Lima, AS Salomao, BA Krohling, IP Biral, GG de Angelo, ... Data in Brief, 2020 | 156 | 2020 |
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 | 122 | 2021 |
Time series prediction using restricted boltzmann machines and backpropagation R Hrasko, AGC Pacheco, RA Krohling Procedia Computer Science 55, 990-999, 2015 | 86 | 2015 |
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 | 61 | 2019 |
TODIM and TOPSIS with Z-numbers RA Krohling, AGC Pacheco, GA dos Santos Frontiers of Information Technology & Electronic Engineering 20 (2), 283-291, 2019 | 61 | 2019 |
Recent advances in deep learning applied to skin cancer detection AGC Pacheco, RA Krohling Neural Information Processing Systems @ Retrospectives workshop, 2019 | 51 | 2019 |
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 | 46 | 2020 |
Interval-valued intuitionistic fuzzy TODIM RA Krohling, AGC Pacheco Procedia Computer Science 31, 236-244, 2014 | 44 | 2014 |
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 | 41 | 2018 |
Aggregation of neural classifiers using Choquet integral with respect to a fuzzy measure AGC Pacheco, RA Krohling Neurocomputing 292, 151-164, 2018 | 32 | 2018 |
Reconhecimento de imagens bidimensionais utilizando Redes Neurais Artificiais G Perelmuter, EV Carrera, M Vellasco, A Pacheco Anais do VIII Sibgrapi, 197-203, 1995 | 25 | 1995 |
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 | 20 | 2020 |
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 | 18 | 2020 |
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 | 18 | 2019 |
Ranking of Classification Algorithms in Terms of Mean–Standard Deviation Using A-TOPSIS AGC Pacheco, RA Krohling Annals of Data Science, 1-18, 2018 | 17 | 2018 |
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 | 17 | 2016 |
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 | 16 | 2021 |