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André C. P. L. F. de Carvalho

André C. P. L. F. de Carvalho

Award Badge
Computer Science
Brazil
2026

D-Index & Metrics

Computer Science

D-Index
64
Citations
15554
World Ranking
2615
National Ranking
6

Research.com Recognitions

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

Overview

André C. P. L. F. de Carvalho is a researcher affiliated with the Universidade de São Paulo in Brazil. Their work primarily spans the field of Computer Science, with substantial contributions in the subfields of Artificial Intelligence, Molecular Biology, Management Science and Operations Research, Computer Vision and Pattern Recognition, and Radiology, Nuclear Medicine and Imaging.

Their research covers a variety of topics, including:

  • Machine Learning and Data Classification
  • Data Stream Mining Techniques
  • Genomics and Phylogenetic Studies
  • RNA and protein synthesis mechanisms
  • Imbalanced Data Classification Techniques
  • Topic Modeling
  • Machine Learning in Bioinformatics

Among recent publications, notable works include:

  • "Explainable Machine Learning Algorithms For Predicting Glass Transition Temperatures" (2020) published in Acta Materialia
  • "Meta-features for meta-learning" (2022) published in Knowledge-Based Systems
  • "COVID-19 Mortality Underreporting in Brazil: Analysis of Data From Government Internet Portals" (2020) published in Journal of Medical Internet Research
  • "MathFeature: feature extraction package for DNA, RNA and protein sequences based on mathematical descriptors" (2021) published in Briefings in Bioinformatics
  • "Assessing the data complexity of imbalanced datasets" (2020) published in Information Sciences

The researcher frequently publishes in venues such as:

  • arXiv (Cornell University)
  • Information Sciences
  • Research Square (Research Square)
  • SSRN Electronic Journal
  • Briefings in Bioinformatics

Collaboration is a significant part of their research network, with frequent co-authors including:

  • Robson Parmezan Bonidia
  • Danilo Sipoli Sanches
  • Ulisses Nunes da Rocha
  • Saulo Martiello Mastelini
  • Ellen Souza

Best Publications

  • Redes neurais artificiais: teoria e aplicações

    Antonio de Pádua Braga;Teresa Bernarda Ludermir;André Carlos Ponce de Leon Ferreira Carvalho

  • Knowledge Discovery from Data Streams.

    João Gama;Pedro Pereira Rodrigues;Eduardo Jaques Spinosa;André Carlos Ponce de Leon Ferreira de Carvalho

  • A Survey of Evolutionary Algorithms for Clustering

    E.R. Hruschka;R.J.G.B. Campello;A.A. Freitas;A.C.P.L.F. de Carvalho

  • Data stream clustering: A survey

    Jonathan A. Silva;Elaine R. Faria;Rodrigo C. Barros;Eduardo R. Hruschka

  • A Survey of Evolutionary Algorithms for Decision-Tree Induction

    R. C. Barros;M. P. Basgalupp;A. C. P. L. F. de Carvalho;A. A. Freitas

  • Inteligência artificial: uma abordagem de aprendizado de máquina

    Katti Faceli;Ana Carolina Lorena;João Gama;André Carlos Ponce de Leon Ferreira de Carvalho

  • A review on the combination of binary classifiers in multiclass problems

    Ana Carolina Lorena;André C. Carvalho;João M. Gama

  • Spectral methods for graph clustering – A survey

    Mariá Cristina Vasconcelos Nascimento;André Carlos Ponce de Leon Ferreira de Carvalho

  • Deep learning for biological image classification

    Carlos Affonso;André Luis Debiaso Rossi;Fábio Henrique Antunes Vieira;André Carlos Ponce de Leon Ferreira de Carvalho

  • Uma Introdução às Support Vector Machines

    Ana Carolina Lorena;André Carlos Ponce de Leon Ferreira de Carvalho

  • An adaptive approach for UAV-based pesticide spraying in dynamic environments

    Bruno S. Faial;Heitor Freitas;Pedro H. Gomes;Leandro Y. Mano

  • Wine classification by taste sensors made from ultra-thin films and using neural networks

    Antonio Riul;Humberto C. de Sousa;Roger R. Malmegrim;David S. dos Santos

  • A Tutorial on Multi-label Classification Techniques

    André Carlos Ponce de Leon Ferreira de Carvalho;Alex Alves Freitas

  • Artificial Taste Sensor: Efficient Combination of Sensors Made from Langmuir−Blodgett Films of Conducting Polymers and a Ruthenium Complex and Self-Assembled Films of an Azobenzene-Containing Polymer

    A. Riul;D. S. Dos Santos;K. Wohnrath;R. Di Tommazo

  • Comparing machine learning classifiers in potential distribution modelling

    Ana C. Lorena;Luis F.O. Jacintho;Marinez F. Siqueira;Renato De Giovanni

  • Predicting glass transition temperatures using neural networks

    Daniel R Cassar;Andre Carlos Ponce de Leon Ferreira de Carvalho;Edgar Dutra Zanotto

  • Evolutionary tuning of SVM parameter values in multiclass problems

    Ana Carolina Lorena;André C. P. L. F. de Carvalho

  • Combining meta-learning and search techniques to select parameters for support vector machines

    Taciana A. F. Gomes;Ricardo B. C. Prudêncio;Carlos Soares;André L. D. Rossi

  • OLINDDA: a cluster-based approach for detecting novelty and concept drift in data streams

    Eduardo J. Spinosa;André Ponce de Leon F. de Carvalho;João Gama

  • Editorial: Hybrid intelligent algorithms and applications

    Emilio Corchado;Ajith Abraham;Andre de Carvalho

  • Hierarchical multi-label classification using local neural networks

    Ricardo Cerri;Rodrigo C. Barros;André C. P. L. F. De Carvalho

  • Efficiency issues of evolutionary k-means

    M. C. Naldi;R. J. G. B. Campello;E. R. Hruschka;A. C. P. L. F. Carvalho

Frequent Co-Authors

Alex A. Freitas
Alex A. Freitas University of Kent
João Gama
João Gama University of Porto
Emilio Corchado
Emilio Corchado University of Salamanca
Teresa B. Ludermir
Teresa B. Ludermir Federal University of Pernambuco
Ajith Abraham
Ajith Abraham Sai University
Joaquin Vanschoren
Joaquin Vanschoren Eindhoven University of Technology
Eduardo R. Hruschka
Eduardo R. Hruschka Universidade de São Paulo
Gustavo E. A. P. A. Batista
Gustavo E. A. P. A. Batista University of New South Wales
Vaclav Snasel
Vaclav Snasel VSB – Technical University of Ostrava
Luiz H. C. Mattoso
Luiz H. C. Mattoso Brazilian Agricultural Research Corporation

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