André G. C. Pacheco

According to our database, André G. C. Pacheco authored at least 23 papers between 2013 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Towards Low-Power Heart Rate Estimation Based on User's Demographics and Activity Level For Wearables.

André G. C. Pacheco, Frank A. C. Cabello, Adriana M. O. Fonoff, Paula G. Rodrigues, Otávio A. B. Penatti, Paula R. Pinto

Proceedings of the IEEE International Conference on Acoustics, 2023

2021

An Attention-Based Mechanism to Combine Images and Metadata in Deep Learning Models Applied to Skin Cancer Classification.

André G. C. Pacheco, Renato A. Krohling

IEEE J. Biomed. Health Informatics, 2021

A Smartphone based Application for Skin Cancer Classification Using Deep Learning with Clinical Images and Lesion Information.

Breno Krohling, Pedro B. C. Castro, André G. C. Pacheco, Renato A. Krohling

CoRR, 2021

Improving Deep Learning Sound Events Classifiers Using Gram Matrix Feature-Wise Correlations.

Antonio Joia Neto, André G. C. Pacheco, Diogo Carbonera Luvizon

Proceedings of the IEEE International Conference on Acoustics, 2021

Learning multiplane images from single views with self-supervision.

Gustavo Sutter P. Carvalho, Diogo C. Luvizon, Antonio Joia, André G. C. Pacheco, Otávio A. B. Penatti

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020

The impact of patient clinical information on automated skin cancer detection.

André G. C. Pacheco, Renato A. Krohling

Comput. Biol. Medicine, 2020

Learning dynamic weights for an ensemble of deep models applied to medical imaging classification.

André G. C. Pacheco, Thomas Trappenberg, Renato A. Krohling

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

An app to detect melanoma using deep learning: An approach to handle imbalanced data based on evolutionary algorithms.

Pedro B. C. Castro, Breno Krohling, André G. C. Pacheco, Renato A. Krohling

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

On Out-of-Distribution Detection Algorithms with Deep Neural Skin Cancer Classifiers.

André G. C. Pacheco, Chandramouli Shama Sastry, Thomas Trappenberg, Sageev Oore, Renato A. Krohling

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

TODIM and TOPSIS with Z-numbers.

Renato A. Krohling, André G. C. Pacheco, Guilherme Artem dos Santos

Frontiers Inf. Technol. Electron. Eng., 2019

Recent advances in deep learning applied to skin cancer detection.

André G. C. Pacheco, Renato A. Krohling

CoRR, 2019

Skin cancer detection based on deep learning and entropy to detect outlier samples.

André G. C. Pacheco, Abder-Rahman Ali, Thomas Trappenberg

CoRR, 2019

Classificação de espécies de peixe utilizando redes neurais convolucional.

André G. C. Pacheco

CoRR, 2019

Multiplicação de matrizes: uma comparação entre as abordagens sequencial (CPU) e paralela (GPU).

André G. C. Pacheco

CoRR, 2019

Skin lesion segmentation using deep learning for images acquired from smartphones.

Gabriel De Angelo, André G. C. Pacheco, Renato A. Krohling

Proceedings of the International Joint Conference on Neural Networks, 2019

2018

Aggregation of neural classifiers using Choquet integral with respect to a fuzzy measure.

André G. C. Pacheco, Renato A. Krohling

Neurocomputing, 2018

Restricted Boltzmann machine to determine the input weights for extreme learning machines.

André G. C. Pacheco, Renato A. Krohling, Carlos A. S. da Silva

Expert Syst. Appl., 2018

An approach to improve online sequential extreme learning machines using restricted Boltzmann machines.

André G. C. Pacheco, Renato A. Krohling

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

2016

Ranking of classification algorithms in terms of mean-standard deviation using A-TOPSIS.

André G. C. Pacheco, Renato A. Krohling

CoRR, 2016

2015

A-TOPSIS - An Approach Based on TOPSIS for Ranking Evolutionary Algorithms.

Renato A. Krohling, André G. C. Pacheco

Proceedings of the Third International Conference on Information Technology and Quantitative Management, 2015

Time Series Prediction Using Restricted Boltzmann Machines and Backpropagation.

Rafael Hrasko, André G. C. Pacheco, Renato A. Krohling

Proceedings of the Third International Conference on Information Technology and Quantitative Management, 2015

2014

Interval-valued Intuitionistic Fuzzy TODIM.

Renato A. Krohling, André G. C. Pacheco

Proceedings of the Second International Conference on Information Technology and Quantitative Management, 2014

2013

IF-TODIM: An intuitionistic fuzzy TODIM to multi-criteria decision making.

Renato A. Krohling, André G. C. Pacheco, André L. T. Siviero

Knowl. Based Syst., 2013