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Computer Science

D-Index
36
Citations
5646
World Ranking
11248
National Ranking
42

Overview

Jacques Wainer is a researcher affiliated with the State University of Campinas in Brazil, focusing primarily on computer science. Their work spans several key subfields including artificial intelligence, computer vision and pattern recognition, signal processing, genetics, and electrical and electronic engineering.

Their research topics are concentrated in areas such as machine learning and data classification, biometric identification and security, face recognition and analysis, anomaly detection techniques and applications, imbalanced data classification techniques, metaheuristic optimization algorithms research, and virus-based gene therapy research.

Wainer has authored multiple recent papers covering a range of subjects in these fields. Some notable publications include:

  • "Detecting face presentation attacks in mobile devices with a patch-based CNN and a sensor-aware loss function" (2020) published in PLoS ONE
  • "Nested cross-validation when selecting classifiers is overzealous for most practical applications" (2021) published in Expert Systems with Applications
  • "Open-Set Support Vector Machines" (2021) published in IEEE Transactions on Systems Man and Cybernetics Systems
  • "An empirical evaluation of imbalanced data strategies from a practitioner's point of view" (2024) published in Expert Systems with Applications
  • "How to tune the RBF SVM hyperparameters? An empirical evaluation of 18 search algorithms" (2021) published in Artificial Intelligence Review

Wainer frequently collaborates with other researchers, including Anderson Rocha, Waldir R. De Almeida, Fernanda Andaló, Rafael Padilha, and Gabriel Bertocco. These collaborations have contributed to a body of work that has appeared multiple times in selected publication venues such as:

  • Expert Systems with Applications
  • arXiv (Cornell University)
  • Zenodo (CERN European Organization for Nuclear Research)
  • Metabolism
  • PLoS ONE

The main field of study for Wainer is computer science, with 23 publications mapped to this general discipline and a particular focus on 14 publications related to artificial intelligence. Their research contributions emphasize methodological and applied aspects of machine learning, verification and evaluation of algorithms, as well as practical issues such as data imbalance and hyperparameter tuning in support vector machines.

Best Publications

  • Automatic fruit and vegetable classification from images

    Anderson Rocha;Daniel C. Hauagge;Jacques Wainer;Siome Goldenstein

  • A conceptual model of groupware

    Clarence Ellis;Jacques Wainer

  • Groupware and computer supported cooperative work

    Clarence Ellis;Jacques Wainer

  • W-RBAC — A Workflow Security Model Incorporating Controlled Overriding of Constraints

    Jacques Wainer;Paulo Barthelmess;Akhil Kumar

  • Nested cross-validation when selecting classifiers is overzealous for most practical applications

    Jacques Wainer;Gavin C. Cawley

  • PROCLETS: A FRAMEWORK FOR LIGHTWEIGHT INTERACTING WORKFLOW PROCESSES

    van der Wmp Wil Aalst;P Barthelmess;CA Ellis;J Wainer

  • Points of Interest and Visual Dictionaries for Automatic Retinal Lesion Detection

    A. Rocha;T. Carvalho;H. F. Jelinek;S. Goldenstein

  • A competition on generalized software-based face presentation attack detection in mobile scenarios

    Z. Boulkenafet;J. Komulainen;Z. Akhtar;A. Benlamoudi

  • DW-RBAC: A formal security model of delegation and revocation in workflow systems

    Jacques Wainer;Akhil Kumar;Paulo Barthelmess

  • A data-driven approach to referable diabetic retinopathy detection.

    Ramon Pires;Sandra Avila;Jacques Wainer;Eduardo Valle

  • A fine-grained, controllable, user-to-user delegation method in RBAC

    Jacques Wainer;Akhil Kumar

  • Algorithms for anomaly detection of traces in logs of process aware information systems

    FáBio Bezerra;Jacques Wainer

  • Workflow Modeling Using Proclets

    Wil M. P. van der Aalst;Wil M. P. van der Aalst;Paulo Barthelmess;Clarence A. Ellis;Jacques Wainer;Jacques Wainer

  • Anomaly Detection Using Process Mining

    Fábio Bezerra;Jacques Wainer;W. M. P. van der Aalst

  • Too much computer and Internet use is bad for your grades, especially if you are young and poor: Results from the 2001 Brazilian SAEB

    Jacques Wainer;Tom Dwyer;Rodrigo Silveira Dutra;Andre Covic

  • Advancing bag-of-visual-words representations for lesion classification in retinal images.

    Ramon Pires;Herbert F. Jelinek;Jacques Wainer;Eduardo Valle

  • Anomaly Detection Using Process Mining.

    Fábio de Lima Bezerra;Jacques Wainer;Wil M. P. van der Aalst

  • Scientific Workflow Systems

    J Wainer;M Weske;G Vossen;Medeiros C Bauzer

  • Applying scheduling techniques to minimize the number of late jobs in workflow systems

    Gregório Baggio;Jacques Wainer;Clarence Ellis

  • Probabilistic Multiagent Patrolling

    Tiago Sak;Jacques Wainer;Siome Klein Goldenstein

Frequent Co-Authors

Anderson Rocha
Anderson Rocha State University of Campinas
Akhil Kumar
Akhil Kumar Pennsylvania State University
Ricardo da Silva Torres
Ricardo da Silva Torres Wageningen University & Research
Wil M. P. van der Aalst
Wil M. P. van der Aalst RWTH Aachen University
Hal Daumé
Hal Daumé University of Maryland, College Park
Michael D. Abràmoff
Michael D. Abràmoff University of Iowa
Abdenour Hadid
Abdenour Hadid University of Oulu
Sébastien Marcel
Sébastien Marcel Idiap Research Institute
Gottfried Vossen
Gottfried Vossen University of Münster
Amir H. Mohammadi
Amir H. Mohammadi University of KwaZulu-Natal

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