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ORCIDAndré G. C. Pacheco
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Other persons with a similar name
- André Augusto Pacheco de Carvalho
- André Felipe Pacheco Costa
- André Pacheco 0001
![[0000-0002-1810-4866]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-1810-4866")
— University of Coimbra, Portugal - André Pacheco 0002 — University of Algarve, Faro, Portugal
- André Pacheco 0003 — University of Lisbon, Instituto Superior Técnico, Portugal
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2020 – today
- 2024
[j8]Luis Antônio de Souza Júnior, André G. C. Pacheco, Leandro A. Passos, Marcos C. S. Santana, Robert Mendel, Alanna Ebigbo, Andreas Probst, Helmut Messmann, Christoph Palm, João Paulo Papa:
DeepCraftFuse: visual and deeply-learnable features work better together for esophageal cancer detection in patients with Barrett's esophagus. Neural Comput. Appl. 36(18): 10445-10459 (2024)- [j7]André G. C. Pacheco, Frank A. C. Cabello, Paula G. Rodrigues, Desiree C. Miraldo, Vanessa B. O. Fioravanti, Rafael G. De Lima, Paula R. Pinto, Adriana M. O. Fonoff, Otávio A. B. Penatti:
Learning to Estimate Heart Rate From Accelerometer and User's Demographics During Physical Exercises. IEEE J. Biomed. Health Informatics 28(9): 5092-5102 (2024) - [c12]Luis A. Souza, André G. C. Pacheco, Gabriel De Angelo, Thiago Oliveira-Santos, Christoph Palm, João P. Papa:
LiwTERM: A Lightweight Transformer-Based Model for Dermatological Multimodal Lesion Detection. SIBGRAPI 2024: 1-6 - 2023
- [c11]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: 1-5 - 2021
- [j6]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): 3554-3563 (2021) - [c10]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: 341 - [c9]Antonio Joia Neto, André G. C. Pacheco, Diogo Carbonera Luvizon:
Improving Deep Learning Sound Events Classifiers Using Gram Matrix Feature-Wise Correlations. ICASSP 2021: 3780-3784 - [i11]Antonio Joia Neto, André G. C. Pacheco, Diogo C. Luvizon:
Improving Deep Learning Sound Events Classifiers using Gram Matrix Feature-wise Correlations. CoRR abs/2102.11771 (2021) - [i10]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 abs/2104.14353 (2021) - [i9]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 abs/2110.09380 (2021) - 2020
- [j5]André G. C. Pacheco, Renato A. Krohling:
The impact of patient clinical information on automated skin cancer detection. Comput. Biol. Medicine 116: 103545 (2020) - [c8]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: 3152-3161 - [c7]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: 1-6 - [c6]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: 1-8
2010 – 2019
- 2019
- [j4]Renato A. Krohling, André G. C. Pacheco, Guilherme Artem dos Santos:
TODIM and TOPSIS with Z-numbers. Frontiers Inf. Technol. Electron. Eng. 20(2): 283-291 (2019) - [c5]Gabriel De Angelo, André G. C. Pacheco, Renato A. Krohling:
Skin lesion segmentation using deep learning for images acquired from smartphones. IJCNN 2019: 1-8 - [i8]André G. C. Pacheco:
Multiplicação de matrizes: uma comparação entre as abordagens sequencial (CPU) e paralela (GPU). CoRR abs/1905.03641 (2019) - [i7]André G. C. Pacheco:
Classificação de espécies de peixe utilizando redes neurais convolucional. CoRR abs/1905.03642 (2019) - [i6]André G. C. Pacheco, Abder-Rahman Ali, Thomas Trappenberg:
Skin cancer detection based on deep learning and entropy to detect outlier samples. CoRR abs/1909.04525 (2019) - [i5]André G. C. Pacheco, Renato A. Krohling:
The impact of patient clinical information on automated skin cancer detection. CoRR abs/1909.12912 (2019) - [i4]André G. C. Pacheco, Renato A. Krohling:
Recent advances in deep learning applied to skin cancer detection. CoRR abs/1912.03280 (2019) - 2018
- [j3]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: 77-85 (2018) - [j2]André G. C. Pacheco, Renato A. Krohling:
Aggregation of neural classifiers using Choquet integral with respect to a fuzzy measure. Neurocomputing 292: 151-164 (2018) - [c4]André G. C. Pacheco, Renato A. Krohling:
An approach to improve online sequential extreme learning machines using restricted Boltzmann machines. IJCNN 2018: 1-8 - 2017
- [i3]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 abs/1708.05376 (2017) - 2016
- [i2]Renato A. Krohling, Guilherme Artem dos Santos, André G. C. Pacheco:
TODIM and TOPSIS with Z-numbers. CoRR abs/1609.05705 (2016) - [i1]André G. C. Pacheco, Renato A. Krohling:
Ranking of classification algorithms in terms of mean-standard deviation using A-TOPSIS. CoRR abs/1610.06998 (2016) - 2015
- [c3]Renato A. Krohling, André G. C. Pacheco:
A-TOPSIS - An Approach Based on TOPSIS for Ranking Evolutionary Algorithms. ITQM 2015: 308-317 - [c2]Rafael Hrasko, André G. C. Pacheco, Renato A. Krohling:
Time Series Prediction Using Restricted Boltzmann Machines and Backpropagation. ITQM 2015: 990-999 - 2014
- [c1]Renato A. Krohling, André G. C. Pacheco:
Interval-valued Intuitionistic Fuzzy TODIM. ITQM 2014: 236-244 - 2013
- [j1]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: 142-146 (2013)
Coauthor Index
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