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)

Interval-valued Intuitionistic Fuzzy TODIM. - Renato A. Krohling; André G. C. Pacheco (ITQM, 2014)

Time Series Prediction Using Restricted Boltzmann Machines and Backpropagation. - Rafael Hrasko; André G. C. Pacheco; Renato A. Krohling (ITQM, 2015)

A-TOPSIS - An Approach Based on TOPSIS for Ranking Evolutionary Algorithms. - Renato A. Krohling; André G. C. Pacheco (ITQM, 2015)

Ranking of classification algorithms in terms of mean-standard deviation using A-TOPSIS. - André G. C. Pacheco; Renato A. Krohling (CoRR, 2016)

An approach to improve online sequential extreme learning machines using restricted Boltzmann machines. - André G. C. Pacheco; Renato A. Krohling (IJCNN, 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)

Aggregation of neural classifiers using Choquet integral with respect to a fuzzy measure. - André G. C. Pacheco; Renato A. Krohling (Neurocomputing, 2018)

Skin lesion segmentation using deep learning for images acquired from smartphones. - Gabriel De Angelo; André G. C. Pacheco; Renato A. Krohling (IJCNN, 2019)

Multiplicação de matrizes: uma comparação entre as abordagens sequencial (CPU) e paralela (GPU). - André G. C. Pacheco (CoRR, 2019)

Classificação de espécies de peixe utilizando redes neurais convolucional. - André G. C. Pacheco (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)

Recent advances in deep learning applied to skin cancer detection. - André G. C. Pacheco; Renato A. Krohling (CoRR, 2019)

TODIM and TOPSIS with Z-numbers. - Renato A. Krohling; André G. C. Pacheco; Guilherme Artem dos Santos (Frontiers Inf. Technol. Electron. Eng., 2019)

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 (CVPR Workshops, 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 (IJCNN, 2020)

Learning dynamic weights for an ensemble of deep models applied to medical imaging classification. - André G. C. Pacheco; Thomas Trappenberg; Renato A. Krohling (IJCNN, 2020)

The impact of patient clinical information on automated skin cancer detection. - André G. C. Pacheco; Renato A. Krohling (Comput. Biol. Medicine, 2020)

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 (BMVC, 2021)

Improving Deep Learning Sound Events Classifiers Using Gram Matrix Feature-Wise Correlations. - Antonio Joia Neto; André G. C. Pacheco; Diogo Carbonera Luvizon (ICASSP, 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)

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)

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 (ICASSP, 2023)

LiwTERM: A Lightweight Transformer-Based Model for Dermatological Multimodal Lesion Detection. - Luis A. Souza; André G. C. Pacheco; Gabriel De Angelo; Thiago Oliveira-Santos; Christoph Palm; João P. Papa (SIBGRAPI, 2024)

DeepCraftFuse: visual and deeply-learnable features work better together for esophageal cancer detection in patients with Barrett's esophagus. - 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 (Neural Comput. Appl., 2024)

Learning to Estimate Heart Rate From Accelerometer and User's Demographics During Physical Exercises. - 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 (IEEE J. Biomed. Health Informatics, 2024)

Echoes of Power: Investigating Geopolitical Bias in US and China Large Language Models. - André G. C. Pacheco; Athus Cavalini; Giovanni Comarela (CoRR, 2025)

TransConv: a lightweight architecture based on transformers and convolutional neural networks for adenocarcinoma and Barrett's esophagus identification. - Luis Antônio de Souza; André G. C. Pacheco; Alberto F. De Souza; Thiago Oliveira-Santos; Claudine Badue; Christoph Palm; João Paulo Papa (Neural Comput. Appl., 2025)