World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
49
Citations
12710
World Ranking
5794
National Ranking
19

Overview

Luiz S. Oliveira is affiliated with the Federal University of Paraná in Brazil. Their research primarily focuses on computer science, with significant contributions in the subfields of artificial intelligence, computer vision and pattern recognition, radiology, nuclear medicine and imaging, control and systems engineering, and organic chemistry.

The main topics addressed in their work include handwritten text recognition techniques, radiomics and machine learning in medical imaging, AI applications in cancer detection, wood and agarwood research, anomaly detection techniques and applications, natural language processing techniques, and COVID-19 diagnosis using AI.

Recent publications authored or coauthored by Luiz S. Oliveira include:

  • Impact of Lung Segmentation on the Diagnosis and Explanation of COVID-19 in Chest X-ray Images, 2021, MDPI (MDPI AG)
  • Machine Learning Methods for Histopathological Image Analysis: A Review, 2021, MDPI (MDPI AG)
  • An automatic recognition system of Brazilian flora species based on textural features of macroscopic images of wood, 2020, Wood Science and Technology
  • Towards Amazon Forest Restoration: Automatic Detection of Species from UAV Imagery, 2021, Remote Sensing
  • Fast & Furious: On the modelling of malware detection as an evolving data stream, 2022, Expert Systems with Applications

Frequent coauthors collaborating with Luiz S. Oliveira include George D. C. Cavalcanti, Diego Bertolini, Yandre M. G. Costa, Alceu S. Britto, and Lucas Teixeira.

The scholar often publishes in venues such as Zenodo (CERN European Organization for Nuclear Research), TUGraz OPEN Library (Graz University of Technology), arXiv (Cornell University), Neural Computing and Applications, and MDPI (MDPI AG).

Best Publications

  • A Dataset for Breast Cancer Histopathological Image Classification

    Fabio A. Spanhol;Luiz S. Oliveira;Caroline Petitjean;Laurent Heutte

  • Breast cancer histopathological image classification using Convolutional Neural Networks

    Fabio Alexandre Spanhol;Luiz S. Oliveira;Caroline Petitjean;Laurent Heutte

  • A Robust Real-Time Automatic License Plate Recognition Based on the YOLO Detector

    Rayson Laroca;Evair Severo;Luiz A. Zanlorensi;Luiz S. Oliveira

  • Learning features for offline handwritten signature verification using deep convolutional neural networks

    Luiz G. Hafemann;Robert Sabourin;Luiz S. Oliveira

  • Dynamic selection of classifiers-A comprehensive review

    Alceu S. Britto;Alceu S. Britto;Robert Sabourin;Luiz E. S. Oliveira

  • Multiple instance learning for histopathological breast cancer image classification

    P. J. Sudharshan;Caroline Petitjean;Fabio A. Spanhol;Luiz Eduardo Soares de Oliveira

  • PKLot – A robust dataset for parking lot classification

    Paulo R.L. de Almeida;Luiz S. Oliveira;Alceu S. Britto;Eunelson J. Silva

  • Deep features for breast cancer histopathological image classification

    Fabio A. Spanhol;Luiz S. Oliveira;Paulo R. Cavalin;Caroline Petitjean

  • Automatic recognition of handwritten numerical strings: a recognition and verification strategy

    L.S. Oliveira;R. Sabourin;F. Bortolozzi;C.Y. Suen

  • An evaluation of Convolutional Neural Networks for music classification using spectrograms

    Yandre M.G. Costa;Luiz S. Oliveira;Carlos N. Silla

  • Reducing forgeries in writer-independent off-line signature verification through ensemble of classifiers

    D. Bertolini;L. S. Oliveira;E. Justino;R. Sabourin

  • Offline handwritten signature verification — Literature review

    Luiz G. Hafemann;Robert Sabourin;Luiz S. Oliveira

  • Decoupling Direction and Norm for Efficient Gradient-Based L2 Adversarial Attacks and Defenses

    Jerome Rony;Luiz G. Hafemann;Luiz S. Oliveira;Ismail Ben Ayed

  • A METHODOLOGY FOR FEATURE SELECTION USING MULTIOBJECTIVE GENETIC ALGORITHMS FOR HANDWRITTEN DIGIT STRING RECOGNITION

    Luiz E. Soares de Oliveira;Robert Sabourin;Flávio Bortolozzi;Ching Y. Suen

  • Texture-based descriptors for writer identification and verification

    D. Bertolini;L.S. Oliveira;E. Justino;R. Sabourin

  • Music genre classification using LBP textural features

    Y. M. G. Costa;L. S. Oliveira;A. L. Koerich;F. Gouyon

  • Writer-independent feature learning for Offline Signature Verification using Deep Convolutional Neural Networks

    Luiz G. Hafemann;Robert Sabourin;Luiz S. Oliveira

  • Fusion of feature sets and classifiers for facial expression recognition

    Thiago H. H. Zavaschi;Alceu S. Britto;Luiz E. S. Oliveira;Alessandro L. Koerich

  • Feature selection using multi-objective genetic algorithms for handwritten digit recognition

    L.S. Oliveira;R. Sabourin;F. Bortolozzi;C.Y. Suen

  • Toward a reliable anomaly-based intrusion detection in real-world environments

    Eduardo Viegas;Altair Olivo Santin;Luiz S. Oliveira

  • Reconstructing shredded documents through feature matching

    Edson Justino;Luiz S. Oliveira;Cinthia Freitas

  • Forest Species Recognition Using Deep Convolutional Neural Networks

    Luiz G. Hafemann;Luiz S. Oliveira;Paulo Cavalin

Frequent Co-Authors

Robert Sabourin
Robert Sabourin École de Technologie Supérieure
Alessandro L. Koerich
Alessandro L. Koerich École de Technologie Supérieure
Ching Y. Suen
Ching Y. Suen Concordia University
Eric Granger
Eric Granger École de Technologie Supérieure
William Robson Schwartz
William Robson Schwartz Universidade Federal de Minas Gerais
Claudio Da Cunha
Claudio Da Cunha Federal University of Paraná
Ismail Ben Ayed
Ismail Ben Ayed École de Technologie Supérieure
Albert Bifet
Albert Bifet University of Waikato
Reza Nejabati
Reza Nejabati University of Bristol

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring computer science opens doors to a variety of online degree and career pathway options. Many students interested in technology also consider fields like engineering, data science, and physics, which are closely related and offer excellent career prospects.

For those looking for a multidisciplinary path, pursuing an online degree for mechanical engineering or an electrical engineering degree online admissions can be a smart choice. These programs often integrate core computer science concepts such as programming and computational modeling.

Another closely related option is a bachelor of science in physics online. This degree is ideal for students interested in the theoretical side of computing and problem solving. With the surge in data-driven industries, earning a data science degree is also a popular and strategic pathway, leading to high-demand careers in tech and analytics.

In summary, whether your passion lies in engineering, physics, or data science, many affordable and flexible online degree options connect seamlessly with computer science and help launch rewarding tech careers.

Best Scientists Citing Luiz S. Oliveira

Trending Scientists

Recently Published Articles