André G. C. Pacheco

Publication Activity (10 Years)

Years Active: 2013-2023
Publications (10 Years): 26

Top Topics

Intuitionistic Fuzzy

Top Venues

Publications

André G. C. Pacheco, Frank A. C. Cabello, Adriana M. O. Fonoff, Paula G. Rodrigues, Otávio A. B. Penatti, Paula R. Pinto
Towards Low-Power Heart Rate Estimation Based on User's Demographics and Activity Level For Wearables. ICASSP (2023)
Gustavo Sutter P. Carvalho, Diogo C. Luvizon, Antonio Joia, André G. C. Pacheco, Otávio A. B. Penatti
Learning multiplane images from single views with self-supervision. BMVC (2021)
Breno Krohling, Pedro B. C. Castro, André G. C. Pacheco, Renato A. Krohling
A Smartphone based Application for Skin Cancer Classification Using Deep Learning with Clinical Images and Lesion Information. CoRR (2021)
André G. C. Pacheco, Renato A. Krohling
An Attention-Based Mechanism to Combine Images and Metadata in Deep Learning Models Applied to Skin Cancer Classification. IEEE J. Biomed. Health Informatics 25 (9) (2021)
Antonio Joia Neto, André G. C. Pacheco, Diogo Carbonera Luvizon
Improving Deep Learning Sound Events Classifiers Using Gram Matrix Feature-Wise Correlations. ICASSP (2021)
Antonio Joia Neto, André G. C. Pacheco, Diogo C. Luvizon
Improving Deep Learning Sound Events Classifiers using Gram Matrix Feature-wise Correlations. CoRR (2021)
Gustavo Sutter P. Carvalho, Diogo C. Luvizon, Antonio Joia Neto, André G. C. Pacheco, Otávio A. B. Penatti
Learning multiplane images from single views with self-supervision. CoRR (2021)
André G. C. Pacheco, Thomas Trappenberg, Renato A. Krohling
Learning dynamic weights for an ensemble of deep models applied to medical imaging classification. IJCNN (2020)
Pedro B. C. Castro, Breno Krohling, André G. C. Pacheco, Renato A. Krohling
An app to detect melanoma using deep learning: An approach to handle imbalanced data based on evolutionary algorithms. IJCNN (2020)
André G. C. Pacheco, Renato A. Krohling
The impact of patient clinical information on automated skin cancer detection. Comput. Biol. Medicine 116 (2020)
André G. C. Pacheco, Chandramouli Shama Sastry, Thomas Trappenberg, Sageev Oore, Renato A. Krohling
On Out-of-Distribution Detection Algorithms with Deep Neural Skin Cancer Classifiers. CVPR Workshops (2020)
André G. C. Pacheco
Classificação de espécies de peixe utilizando redes neurais convolucional. CoRR (2019)
Gabriel De Angelo, André G. C. Pacheco, Renato A. Krohling
Skin lesion segmentation using deep learning for images acquired from smartphones. IJCNN (2019)
André G. C. Pacheco, Renato A. Krohling
The impact of patient clinical information on automated skin cancer detection. CoRR (2019)
André G. C. Pacheco
Multiplicação de matrizes: uma comparação entre as abordagens sequencial (CPU) e paralela (GPU). CoRR (2019)
André G. C. Pacheco, Abder-Rahman Ali, Thomas P. Trappenberg
Skin cancer detection based on deep learning and entropy to detect outlier samples. CoRR (2019)
Renato A. Krohling, André G. C. Pacheco, Guilherme Artem dos Santos
TODIM and TOPSIS with Z-numbers. Frontiers Inf. Technol. Electron. Eng. 20 (2) (2019)
André G. C. Pacheco, Renato A. Krohling
Recent advances in deep learning applied to skin cancer detection. CoRR (2019)
André G. C. Pacheco, Renato A. Krohling
Aggregation of neural classifiers using Choquet integral with respect to a fuzzy measure. Neurocomputing 292 (2018)
André G. C. Pacheco, Renato A. Krohling
An approach to improve online sequential extreme learning machines using restricted Boltzmann machines. IJCNN (2018)
André G. C. Pacheco, Renato A. Krohling, Carlos A. S. da Silva
Restricted Boltzmann machine to determine the input weights for extreme learning machines. Expert Syst. Appl. 96 (2018)
André G. C. Pacheco, Renato A. Krohling, Carlos A. S. da Silva
Restricted Boltzmann machine to determine the input weights for extreme learning machines. CoRR (2017)
André G. C. Pacheco, Renato A. Krohling
Ranking of classification algorithms in terms of mean-standard deviation using A-TOPSIS. CoRR (2016)
Renato A. Krohling, Guilherme Artem dos Santos, André G. C. Pacheco
TODIM and TOPSIS with Z-numbers. CoRR (2016)
Rafael Hrasko, André G. C. Pacheco, Renato A. Krohling
Time Series Prediction Using Restricted Boltzmann Machines and Backpropagation. ITQM (2015)
Renato A. Krohling, André G. C. Pacheco
A-TOPSIS - An Approach Based on TOPSIS for Ranking Evolutionary Algorithms. ITQM (2015)
Renato A. Krohling, André G. C. Pacheco
Interval-valued Intuitionistic Fuzzy TODIM. ITQM (2014)
Renato A. Krohling, André G. C. Pacheco, André L. T. Siviero
IF-TODIM: An intuitionistic fuzzy TODIM to multi-criteria decision making. Knowl. Based Syst. 53 (2013)