André G. C. Pacheco

36 papers A 1B 4Misc 2Journal 23Unranked 6

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Echoes of Power: Investigating Geopolitical Bias in US and China Large Language Models. CoRR André G. C. Pacheco, Athus Cavalini, Giovanni Comarela
2025	—	`conf`	In the Picture: Medical Imaging Datasets, Artifacts, and their Living Review. FAccT Amelia Jiménez-Sánchez, Natalia Rozalia Avlona, Sarah de Boer, Víctor M. Campello, Aasa Feragen, Enzo Ferrante, Melanie Ganz, Judy Wawira Gichoya, Camila González, Steff Groefsema, Alessa Hering, Adam Hulman, Leo Joskowicz, Dovile Juodelyte, Melih Kandemir, Thijs Kooi, Jorge del Pozo Lérida, Livie Yumeng Li, André G. C. Pacheco, Tim Rädsch, Mauricio Reyes, Théo Sourget, Bram van Ginneken, David Wen, Nina Weng, Jack Junchi Xu, Hubert Dariusz Zajac, Maria A. Zuluaga, Veronika Cheplygina
2025	J	`jnl`	In the Picture: Medical Imaging Datasets, Artifacts, and their Living Review. CoRR Amelia Jiménez-Sánchez, Natalia Rozalia Avlona, Sarah de Boer, Víctor M. Campello, Aasa Feragen, Enzo Ferrante, Melanie Ganz, Judy Wawira Gichoya, Camila González, Steff Groefsema, Alessa Hering, Adam Hulman, Leo Joskowicz, Dovile Juodelyte, Melih Kandemir, Thijs Kooi, Jorge del Pozo Lérida, Livie Yumeng Li, André G. C. Pacheco, Tim Rädsch, Mauricio Reyes, Théo Sourget, Bram van Ginneken, David Wen, Nina Weng, Jack Junchi Xu, Hubert Dariusz Zajac, Maria A. Zuluaga, Veronika Cheplygina
2025	J	`jnl`	MetaBlock-SE: A Method to Deal With Missing Metadata in Multimodal Skin Cancer Classification. IEEE J. Biomed. Health Informatics Pedro H. G. Bouzon, Wyctor Fogos da Rocha, Luis A. Souza, André G. C. Pacheco
2025	J	`jnl`	TransConv: a lightweight architecture based on transformers and convolutional neural networks for adenocarcinoma and Barrett's esophagus identification. Neural Comput. Appl. Luis Antônio de Souza, André G. C. Pacheco, Alberto F. De Souza, Thiago Oliveira-Santos, Claudine Badue, Christoph Palm, João Paulo Papa
2024	J	`jnl`	DeepCraftFuse: visual and deeply-learnable features work better together for esophageal cancer detection in patients with Barrett's esophagus. Neural Comput. Appl. 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
2024	J	`jnl`	Learning to Estimate Heart Rate From Accelerometer and User's Demographics During Physical Exercises. IEEE J. Biomed. Health Informatics 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
2024	—	`conf`	LiwTERM: A Lightweight Transformer-Based Model for Dermatological Multimodal Lesion Detection. SIBGRAPI Luis A. Souza, André G. C. Pacheco, Gabriel De Angelo, Thiago Oliveira-Santos, Christoph Palm, João P. Papa
2023	Misc	`conf`	Towards Low-Power Heart Rate Estimation Based on User's Demographics and Activity Level For Wearables. ICASSP André G. C. Pacheco, Frank A. C. Cabello, Adriana M. O. Fonoff, Paula G. Rodrigues, Otávio A. B. Penatti, Paula R. Pinto
2021	J	`jnl`	A Smartphone based Application for Skin Cancer Classification Using Deep Learning with Clinical Images and Lesion Information. CoRR Breno Krohling, Pedro B. C. Castro, André G. C. Pacheco, Renato A. Krohling
2021	J	`jnl`	An Attention-Based Mechanism to Combine Images and Metadata in Deep Learning Models Applied to Skin Cancer Classification. IEEE J. Biomed. Health Informatics André G. C. Pacheco, Renato A. Krohling
2021	Misc	`conf`	Improving Deep Learning Sound Events Classifiers Using Gram Matrix Feature-Wise Correlations. ICASSP Antonio Joia Neto, André G. C. Pacheco, Diogo Carbonera Luvizon
2021	J	`jnl`	Improving Deep Learning Sound Events Classifiers using Gram Matrix Feature-wise Correlations. CoRR Antonio Joia Neto, André G. C. Pacheco, Diogo C. Luvizon
2021	A	`conf`	Learning multiplane images from single views with self-supervision. BMVC Gustavo Sutter P. Carvalho, Diogo C. Luvizon, Antonio Joia, André G. C. Pacheco, Otávio A. B. Penatti
2021	J	`jnl`	Learning multiplane images from single views with self-supervision. CoRR Gustavo Sutter P. Carvalho, Diogo C. Luvizon, Antonio Joia Neto, André G. C. Pacheco, Otávio A. B. Penatti
2020	B	`conf`	An app to detect melanoma using deep learning: An approach to handle imbalanced data based on evolutionary algorithms. IJCNN Pedro B. C. Castro, Breno Krohling, André G. C. Pacheco, Renato A. Krohling
2020	B	`conf`	Learning dynamic weights for an ensemble of deep models applied to medical imaging classification. IJCNN André G. C. Pacheco, Thomas Trappenberg, Renato A. Krohling
2020	—	`conf`	On Out-of-Distribution Detection Algorithms with Deep Neural Skin Cancer Classifiers. CVPR Workshops André G. C. Pacheco, Chandramouli Shama Sastry, Thomas Trappenberg, Sageev Oore, Renato A. Krohling
2020	J	`jnl`	The impact of patient clinical information on automated skin cancer detection. Comput. Biol. Medicine André G. C. Pacheco, Renato A. Krohling
2019	J	`jnl`	Classificação de espécies de peixe utilizando redes neurais convolucional. CoRR André G. C. Pacheco
2019	J	`jnl`	Multiplicação de matrizes: uma comparação entre as abordagens sequencial (CPU) e paralela (GPU). CoRR André G. C. Pacheco
2019	J	`jnl`	Recent advances in deep learning applied to skin cancer detection. CoRR André G. C. Pacheco, Renato A. Krohling
2019	J	`jnl`	Skin cancer detection based on deep learning and entropy to detect outlier samples. CoRR André G. C. Pacheco, Abder-Rahman Ali, Thomas Trappenberg
2019	B	`conf`	Skin lesion segmentation using deep learning for images acquired from smartphones. IJCNN Gabriel De Angelo, André G. C. Pacheco, Renato A. Krohling
2019	J	`jnl`	TODIM and TOPSIS with Z-numbers. Frontiers Inf. Technol. Electron. Eng. Renato A. Krohling, André G. C. Pacheco, Guilherme Artem dos Santos
2019	J	`jnl`	The impact of patient clinical information on automated skin cancer detection. CoRR André G. C. Pacheco, Renato A. Krohling
2018	J	`jnl`	Aggregation of neural classifiers using Choquet integral with respect to a fuzzy measure. Neurocomputing André G. C. Pacheco, Renato A. Krohling
2018	B	`conf`	An approach to improve online sequential extreme learning machines using restricted Boltzmann machines. IJCNN André G. C. Pacheco, Renato A. Krohling
2018	J	`jnl`	Restricted Boltzmann machine to determine the input weights for extreme learning machines. Expert Syst. Appl. André G. C. Pacheco, Renato A. Krohling, Carlos A. S. da Silva
2017	J	`jnl`	Restricted Boltzmann machine to determine the input weights for extreme learning machines. CoRR André G. C. Pacheco, Renato A. Krohling, Carlos A. S. da Silva
2016	J	`jnl`	Ranking of classification algorithms in terms of mean-standard deviation using A-TOPSIS. CoRR André G. C. Pacheco, Renato A. Krohling
2016	J	`jnl`	TODIM and TOPSIS with Z-numbers. CoRR Renato A. Krohling, Guilherme Artem dos Santos, André G. C. Pacheco
2015	—	`conf`	A-TOPSIS - An Approach Based on TOPSIS for Ranking Evolutionary Algorithms. ITQM Renato A. Krohling, André G. C. Pacheco
2015	—	`conf`	Time Series Prediction Using Restricted Boltzmann Machines and Backpropagation. ITQM Rafael Hrasko, André G. C. Pacheco, Renato A. Krohling
2014	—	`conf`	Interval-valued Intuitionistic Fuzzy TODIM. ITQM Renato A. Krohling, André G. C. Pacheco
2013	J	`jnl`	IF-TODIM: An intuitionistic fuzzy TODIM to multi-criteria decision making. Knowl. Based Syst. Renato A. Krohling, André G. C. Pacheco, André L. T. Siviero