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Computer Science

D-Index
34
Citations
6195
World Ranking
12034
National Ranking
50

Overview

Renato A. Krohling is affiliated with the Universidade Federal do Espírito Santo in Brazil. Their research primarily spans the fields of Computer Science and Medicine, with a particular focus on Artificial Intelligence and its applications.

Their work encompasses a variety of specialized subjects, including:

  • Artificial Intelligence
  • Plant Science
  • Oncology
  • Computer Vision and Pattern Recognition
  • Epidemiology

Key topics addressed in their research are:

  • AI in cancer detection
  • Cutaneous Melanoma Detection and Management
  • Nonmelanoma Skin Cancer Studies
  • Smart Agriculture and AI
  • Digital Imaging for Blood Diseases
  • Oral Health Pathology and Treatment
  • Spectroscopy Techniques in Biomedical and Chemical Research

Renato A. Krohling has contributed to various journals and conferences, with frequent publications in venues such as:

  • arXiv (Cornell University)
  • Computers and Electronics in Agriculture
  • Data in Brief
  • IEEE Journal of Biomedical and Health Informatics
  • Information Processing in Agriculture

Among their recent papers are:

  • Deep learning for classification and severity estimation of coffee leaf biotic stress, 2020, Computers and Electronics in Agriculture
  • An Attention-Based Mechanism to Combine Images and Metadata in Deep Learning Models Applied to Skin Cancer Classification, 2021, IEEE Journal of Biomedical and Health Informatics
  • A deep learning approach combining instance and semantic segmentation to identify diseases and pests of coffee leaves from in-field images, 2021, Computers and Electronics in Agriculture
  • An app to assist farmers in the identification of diseases and pests of coffee leaves using deep learning, 2021, Information Processing in Agriculture
  • Few-shot learning for biotic stress classification of coffee leaves, 2022, Artificial Intelligence in Agriculture

Renato A. Krohling frequently collaborates with several researchers, including:

  • Leandro M. de Lima
  • José G. M. Esgario
  • Matheus Becali Rocha
  • Tania R. P. Canuto
  • André G. C. Pacheco

Best Publications

  • Design of optimal disturbance rejection PID controllers using genetic algorithms

    R.A. Krohling;J.P. Rey

  • Fuzzy TOPSIS for group decision making: A case study for accidents with oil spill in the sea

    Renato A. Krohling;Vinicius C. Campanharo

  • Coevolutionary Particle Swarm Optimization Using Gaussian Distribution for Solving Constrained Optimization Problems

    R.A. Krohling;L. dos Santos Coelho

  • Deep learning for classification and severity estimation of coffee leaf biotic stress

    José G.M. Esgario;Renato A. Krohling;José A. Ventura

  • Combining prospect theory and fuzzy numbers to multi-criteria decision making

    Renato A. Krohling;Talles T. M. de Souza

  • Gaussian swarm: a novel particle swarm optimization algorithm

    R.A. Krohling

  • A-TOPSIS – An Approach Based on TOPSIS for Ranking Evolutionary Algorithms☆

    Renato A. Krohling;André G.C. Pacheco

  • An Attention-Based Mechanism to Combine Images and Metadata in Deep Learning Models Applied to Skin Cancer Classification

    Andre G. C. Pacheco;Renato A. Krohling

  • Short Communication: IF-TODIM: An intuitionistic fuzzy TODIM to multi-criteria decision making

    Renato A. Krohling;André G. C. Pacheco;André L. T. Siviero

  • The impact of patient clinical information on automated skin cancer detection

    Andre G.C. Pacheco;Renato A. Krohling

  • Co-evolutionary particle swarm optimization to solve min-max problems

    Yuhui Shi;R.A. Krohling

  • Robust Control Systems with Genetic Algorithms

    Mo Jamshidi;Renato A. Krohling;Leandro dos S. Coelho;Peter J. Fleming

  • A study of TODIM in a intuitionistic fuzzy and random environment

    Rodolfo Lourenzutti;Renato A. Krohling

  • A generalized TOPSIS method for group decision making with heterogeneous information in a dynamic environment

    Rodolfo Lourenzutti;Renato A. Krohling

  • A deep learning approach combining instance and semantic segmentation to identify diseases and pests of coffee leaves from in-field images

    Lucas M. Tassis;João E. Tozzi de Souza;Renato A. Krohling

  • Choquet based TOPSIS and TODIM for dynamic and heterogeneous decision making with criteria interaction

    Rodolfo Lourenzutti;Renato A. Krohling;Marek Z. Reformat

  • Designing PI/PID controllers for a motion control system based on genetic algorithms

    R.A. Krohling;H. Jaschek;J.P. Rey

  • PAD-UFES-20: A skin lesion dataset composed of patient data and clinical images collected from smartphones.

    Andre G. C. Pacheco;Gustavo R. Lima;Amanda S. Salomão;Breno A. Krohling

  • Bare Bones Particle Swarm Optimization with Gaussian or Cauchy jumps

    Renato A. Krohling;Eduardo Mendel

  • Gaussian particle swarm with jumps

    R.A. Krohling

  • The Hellinger distance in Multicriteria Decision Making: An illustration to the TOPSIS and TODIM methods

    Rodolfo Lourenzutti;Renato A. Krohling

  • Differential evolution algorithm on the GPU with C-CUDA

    Lucas de P. Veronese;Renato A. Krohling

Frequent Co-Authors

Frank Hoffmann
Frank Hoffmann TU Dortmund University
Leandro dos Santos Coelho
Leandro dos Santos Coelho Federal University of Paraná
Mo Jamshidi
Mo Jamshidi The University of Texas at San Antonio
Peter J. Fleming
Peter J. Fleming University of Sheffield

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