World's Best Scientists 2026 revealed!
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Computer Science
Brazil
2026

D-Index & Metrics

Computer Science

D-Index
58
Citations
14878
World Ranking
3602
National Ranking
10

Research.com Recognitions

  • 2026 - Research.com Computer Science in Brazil Leader Award
  • 2025 - Research.com Computer Science in Brazil Leader Award

Overview

João Paulo Papa is affiliated with Sao Paulo State University in Brazil and has contributed extensively to research within computer science, engineering, and medicine. Their publication record includes a significant focus on artificial intelligence and computer vision alongside other fields such as electrical and electronic engineering, signal processing, and neurology.

Major research topics covered by João Paulo Papa include advanced neural network applications, electricity theft detection techniques, machine learning and data classification, metaheuristic optimization algorithms research, topic modeling, natural language processing techniques, and esophageal cancer research and treatment.

Their recent publications demonstrate a range of interests and contributions across multiple domains. Notable papers include:

  • Avoiding Overfitting: A Survey on Regularization Methods for Convolutional Neural Networks, 2022, ACM Computing Surveys
  • Deep learning techniques for recommender systems based on collaborative filtering, 2020, Expert Systems
  • A survey on text generation using generative adversarial networks, 2021, Pattern Recognition
  • A fuzzy distance-based ensemble of deep models for cervical cancer detection, 2022, Computer Methods and Programs in Biomedicine
  • Gait Recognition Based on Deep Learning: A Survey, 2022, ACM Computing Surveys

João Paulo Papa has collaborated frequently with a number of researchers, including Leandro A. Passos, Mateus Roder, Gustavo Henrique de Rosa, Douglas Rodrigues, and Luis A. de Souza, with collaboration counts ranging from 15 to 42 joint works.

Their work has been published repeatedly in several scholarly venues, with the highest number of publications appearing in:

  • arXiv (Cornell University)
  • SSRN Electronic Journal
  • Applied Soft Computing
  • Computers in Biology and Medicine
  • Neurocomputing

In addition to articles, João Paulo Papa has contributed to book publications, notably a book published by Springer Science+Business Media titled "Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications" in 2021.

Best Publications

  • Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support

    M. Jorge Cardoso;Tal Arbel;Gustavo Carneiro;Tanveer Syeda-Mahmood

  • BBA: A Binary Bat Algorithm for Feature Selection

    R. Y. M. Nakamura;L. A. M. Pereira;K. A. Costa;D. Rodrigues

  • Supervised pattern classification based on optimum-path forest

    J. P. Papa;A. X. Falcão;C. T. N. Suzuki

  • Internet of Things: A survey on machine learning-based intrusion detection approaches

    Kelton A.P. da Costa;João P. Papa;Celso O. Lisboa;Roberto Munoz

  • Avoiding Overfitting: A Survey on Regularization Methods for Convolutional Neural Networks

    Unknown

  • Supervised pattern classification based on optimum‐path forest

    Unknown

  • FEMa: a finite element machine for fast learning

    Danilo R. Pereira;Marco Antonio Piteri;André N. de Souza;João Paulo Papa

  • Efficient supervised optimum-path forest classification for large datasets

    JoãO P. Papa;Alexandre X. FalcãO;Victor Hugo C. De Albuquerque;JoãO Manuel R. S. Tavares

  • A wrapper approach for feature selection based on Bat Algorithm and Optimum-Path Forest

    Douglas Rodrigues;Luís A. M. Pereira;Rodrigo Y. M. Nakamura;Kelton A. P. Costa

  • Computational methods for the image segmentation of pigmented skin lesions

    Roberta B. Oliveira;Mercedes E. Filho;Zhen Ma;João P. Papa

  • Deep Learning-Aided Parkinson's Disease Diagnosis from Handwritten Dynamics

    Clayton R. Pereira;Silke A. T. Weber;Christian Hook;Gustavo H. Rosa

  • A genetic programming framework for content-based image retrieval

    Ricardo da S. Torres;Alexandre X. Falcão;Marcos A. Gonçalves;João P. Papa

  • Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support : 4th International Workshop, DLMIA 2018, and 8th International Workshop, ML-CDS 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 20, 2018, Proceedings

    Danail Stoyanov;Zeike Taylor;Gustavo Carneiro;Tanveer Syeda-Mahmood

  • Computational methods for pigmented skin lesion classification in images: review and future trends

    Roberta B. Oliveira;João P. Papa;Aledir S. Pereira;João Manuel Tavares

  • BCS: A Binary Cuckoo Search algorithm for feature selection

    D. Rodrigues;L. A. M. Pereira;T. N. S. Almeida;J. P. Papa

  • Handwritten dynamics assessment through convolutional neural networks: An application to Parkinson's disease identification

    Clayton R. Pereira;Danilo R. Pereira;Gustavo H. Rosa;Victor Hugo C. de Albuquerque

  • ECG arrhythmia classification based on optimum-path forest

    Eduardo José Da S. Luz;Thiago M. Nunes;Victor Hugo C. De Albuquerque;JoãO P. Papa

  • Deep Learning and Data Labeling for Medical Applications

    Gustavo Carneiro;Diana Mateus;Loïc Peter;Andrew Bradley

  • An Overview on Concept Drift Learning

    Adriana Sayuri Iwashita;João Paulo Papa

  • Deep learning techniques for recommender systems based on collaborative filtering

    Guilherme Brandão Martins;João Paulo Papa;Hojjat Adeli

  • A New Approach for Nontechnical Losses Detection Based on Optimum-Path Forest

    C C O Ramos;A N de Sousa;J P Papa;Alexandre Xavier Falcão

  • A novel algorithm for feature selection using Harmony Search and its application for non-technical losses detection

    Caio C. O. Ramos;André N. Souza;Giovani Chiachia;Alexandre X. Falcão

  • A new computer vision-based approach to aid the diagnosis of Parkinson's disease

    Clayton R. Pereira;Danilo R. Pereira;Francisco A. Silva;João P. Masieiro

  • EEG-based person identification through Binary Flower Pollination Algorithm

    Douglas Rodrigues;Gabriel F.A. Silva;João P. Papa;Aparecido N. Marana

Frequent Co-Authors

Alexandre X. Falcão
Alexandre X. Falcão State University of Campinas
Victor Hugo C. de Albuquerque
Victor Hugo C. de Albuquerque Universidade Federal do Ceará
João Manuel R. S. Tavares
João Manuel R. S. Tavares University of Porto
Xin-She Yang
Xin-She Yang Middlesex University
Gustavo Carneiro
Gustavo Carneiro University of Surrey
Andrew P. Bradley
Andrew P. Bradley Queensland University of Technology
Ricardo da Silva Torres
Ricardo da Silva Torres Wageningen University & Research
Anderson Rocha
Anderson Rocha State University of Campinas
Walter J. Scheirer
Walter J. Scheirer University of Notre Dame
Mohammed Azmi Al-Betar
Mohammed Azmi Al-Betar Ajman University of Science and Technology

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