Entwicklung von neuen Verfahren zum Reglerentwurf mit Hilfe von genetischen Algorithmen. - Renato A. Krohling (1999)

Design of optimal disturbance rejection PID controllers using genetic algorithms. - Renato A. Krohling; Joost P. Rey (IEEE Trans. Evol. Comput., 2001)

Parameters tuning of multivariable controllers based on memetic algorithm: fundamentals and application. - Leandro dos Santos Coelho; Antonio Augusto Rodrigues Coelho; Renato A. Krohling (ISIC, 2002)

Solving numerical equations of hydraulic problems using particle swarm optimization. - Renato A. Krohling; Helder Knidel; Yuhui Shi (IEEE Congress on Evolutionary Computation, 2002)

Co-evolutionary particle swarm optimization to solve min-max problems. - Yuhui Shi; Renato A. Krohling (IEEE Congress on Evolutionary Computation, 2002)

Co-evolutionary particle swarm optimization for min-max problems using Gaussian distribution. - Renato A. Krohling; Frank Hoffmann 001; Leandro dos Santos Coelho (IEEE Congress on Evolutionary Computation, 2004)

Gaussian particle swarm with jumps. - Renato A. Krohling (Congress on Evolutionary Computation, 2005)

Parameter tuning of a computed-torque controller for a 5 degree of freedom robot arm using co-evolutionary particle swarm optimization. - Andi Asmara; Renato A. Krohling; Frank Hoffmann 001 (SIS, 2005)

PSO-E: Particle Swarm with Exponential Distribution. - Renato A. Krohling; Leandro dos Santos Coelho (IEEE Congress on Evolutionary Computation, 2006)

Nonlinear System Identification Based on B-Spline Neural Network and Modified Particle Swarm Optimization. - Leandro dos Santos Coelho; Renato A. Krohling (IJCNN, 2006)

Coevolutionary Particle Swarm Optimization Using Gaussian Distribution for Solving Constrained Optimization Problems. - Renato A. Krohling; Leandro dos Santos Coelho (IEEE Trans. Syst. Man Cybern. Part B, 2006)

Bare Bones Particle Swarm Optimization with Gaussian or Cauchy jumps. - Renato A. Krohling; Eduardo Mendel (IEEE Congress on Evolutionary Computation, 2009)

Swarm's flight: Accelerating the particles using C-CUDA. - Lucas de Paula Veronese; Renato A. Krohling (IEEE Congress on Evolutionary Computation, 2009)

Bare Bones Particle Swarm Applied to Parameter Estimation of Mixed Weibull Distribution. - Renato A. Krohling; Mauro Campos; Patrick Borges (WSC, 2009)

Differential evolution algorithm on the GPU with C-CUDA. - Lucas de Paula Veronese; Renato A. Krohling (IEEE Congress on Evolutionary Computation, 2010)

Fuzzy TOPSIS for group decision making: A case study for accidents with oil spill in the sea. - Renato A. Krohling; Vinicius C. Campanharo (Expert Syst. Appl., 2011)

Swarm algorithms with chaotic jumps applied to noisy optimization problems. - Eduardo Mendel; Renato A. Krohling; Mauro Campos (Inf. Sci., 2011)

A co-evolutionary differential evolution algorithm for solving min-max optimization problems implemented on GPU using C-CUDA. - Fábio Fabris; Renato A. Krohling (Expert Syst. Appl., 2012)

Combining prospect theory and fuzzy numbers to multi-criteria decision making. - Renato A. Krohling; Talles T. M. de Souza (Expert Syst. Appl., 2012)

A differential evolution approach for solving constrained min-max optimization problems. - Gilberto A. S. Segundo; Renato A. Krohling; Rodrigo C. Cosme (Expert Syst. Appl., 2012)

Hierarchical bare bones particle swarm for solving constrained optimization problems. - Mauro Campos; Renato A. Krohling (IEEE Congress on Evolutionary Computation, 2013)

A study of TODIM in a intuitionistic fuzzy and random environment. - Rodolfo Lourenzutti; Renato A. Krohling (Expert Syst. Appl., 2013)

IF-TODIM: An intuitionistic fuzzy TODIM to multi-criteria decision making. - Renato A. Krohling; André G. C. Pacheco; André L. T. Siviero (Knowl. Based Syst., 2013)

Bare bones particle swarm with scale mixtures of Gaussians for dynamic constrained optimization. - Mauro Campos; Renato A. Krohling (IEEE Congress on Evolutionary Computation, 2014)

Interval-valued Intuitionistic Fuzzy TODIM. - Renato A. Krohling; André G. C. Pacheco (ITQM, 2014)

The Hellinger distance in Multicriteria Decision Making: An illustration to the TOPSIS and TODIM methods. - Rodolfo Lourenzutti; Renato A. Krohling (Expert Syst. Appl., 2014)

A hybrid approach using TOPSIS, Differential Evolution, and Tabu Search to find multiple solutions of constrained non-linear integer optimization problems. - Erick R. F. A. Schneider; Renato A. Krohling (Knowl. Based Syst., 2014)

Bare Bones Particle Swarm Optimization With Scale Matrix Adaptation. - Mauro Campos; Renato A. Krohling; Ivan Enriquez (IEEE Trans. Cybern., 2014)

Time Series Prediction Using Restricted Boltzmann Machines and Backpropagation. - Rafael Hrasko; André G. C. Pacheco; Renato A. Krohling (ITQM, 2015)

A-TOPSIS - An Approach Based on TOPSIS for Ranking Evolutionary Algorithms. - Renato A. Krohling; André G. C. Pacheco (ITQM, 2015)

TODIM Based Method to Process Heterogeneous Information. - Rodolfo Lourenzutti; Renato A. Krohling (ITQM, 2015)

Differential Evolution and Nelder-mead for Constrained Non-linear Integer Optimization Problems. - Felipe Luchi; Renato A. Krohling (ITQM, 2015)

Ranking and comparing evolutionary algorithms with Hellinger-TOPSIS. - Renato A. Krohling; Rodolfo Lourenzutti; Mauro Campos (Appl. Soft Comput., 2015)

An approach to dealing with missing values in heterogeneous data using k-nearest neighbors. - Davi E. N. Frossard; Igor O. Nunes; Renato A. Krohling (CoRR, 2016)

Ranking of classification algorithms in terms of mean-standard deviation using A-TOPSIS. - André G. C. Pacheco; Renato A. Krohling (CoRR, 2016)

A generalized TOPSIS method for group decision making with heterogeneous information in a dynamic environment. - Rodolfo Lourenzutti; Renato A. Krohling (Inf. Sci., 2016)

Entropy-based bare bones particle swarm for dynamic constrained optimization. - Mauro Campos; Renato A. Krohling (Knowl. Based Syst., 2016)

Choquet based TOPSIS and TODIM for dynamic and heterogeneous decision making with criteria interaction. - Rodolfo Lourenzutti; Renato A. Krohling; Marek Z. Reformat (Inf. Sci., 2017)

Empirical Mode Decomposition, Extreme Learning Machine and Long Short-Term Memory for Time Series Prediction: A Comparative Study. - Elivelto Ebermam; Gabriel De Angelo; Helder Knidel; Renato A. Krohling (BRACIS, 2018)

Clustering with Minimum Spanning Tree using TOPSIS with Multi-Criteria Information. - José G. M. Esgario; Renato A. Krohling (FUZZ-IEEE, 2018)

A Fuzzy Sociometric Approach to Human Resource Allocation. - Iago E. da Silva; Renato A. Krohling (FUZZ-IEEE, 2018)

An approach to improve online sequential extreme learning machines using restricted Boltzmann machines. - André G. C. Pacheco; Renato A. Krohling (IJCNN, 2018)

Semi-Supervised Online Elastic Extreme Learning Machine for Data Classification. - Carlos A. S. da Silva; Renato A. Krohling (IJCNN, 2018)

Restricted Boltzmann machine to determine the input weights for extreme learning machines. - André G. C. Pacheco; Renato A. Krohling; Carlos A. S. da Silva (Expert Syst. Appl., 2018)

Aggregation of neural classifiers using Choquet integral with respect to a fuzzy measure. - André G. C. Pacheco; Renato A. Krohling (Neurocomputing, 2018)

A Multiobjective Genetic Approach with TOPSIS to Learn Fuzzy Rule-Based Classification Systems. - Antonio Eloy de Oliveira Araujo; Renato Antonio Krohling (BRACIS, 2019)

Generating a Fuzzy Rule Based Classification System by genetic learning of granularity level using TOPSIS. - Antonio Eloy de Oliveira Araujo; Renato Antonio Krohling (EUSFLAT Conf., 2019)

Skin lesion segmentation using deep learning for images acquired from smartphones. - Gabriel De Angelo; André G. C. Pacheco; Renato A. Krohling (IJCNN, 2019)

Semi-Supervised Online Elastic Extreme Learning Machine with Forgetting Parameter to deal with concept drift in data streams. - Carlos A. S. da Silva; Renato A. Krohling (IJCNN, 2019)

Application of Genetic Algorithms to the Multiple Team Formation Problem. - José G. M. Esgario; Iago E. da Silva; Renato A. Krohling (CoRR, 2019)

A smartphone application to detection and classification of coffee leaf miner and coffee leaf rust. - Giuliano L. Manso; Helder Knidel; Renato A. Krohling; Jose A. Ventura (CoRR, 2019)

Recent advances in deep learning applied to skin cancer detection. - André G. C. Pacheco; Renato A. Krohling (CoRR, 2019)

TODIM and TOPSIS with Z-numbers. - Renato A. Krohling; André G. C. Pacheco; Guilherme Artem dos Santos (Frontiers Inf. Technol. Electron. Eng., 2019)

On Out-of-Distribution Detection Algorithms with Deep Neural Skin Cancer Classifiers. - André G. C. Pacheco; Chandramouli Shama Sastry; Thomas Trappenberg; Sageev Oore; Renato A. Krohling (CVPR Workshops, 2020)

An app to detect melanoma using deep learning: An approach to handle imbalanced data based on evolutionary algorithms. - Pedro B. C. Castro; Breno Krohling; André G. C. Pacheco; Renato A. Krohling (IJCNN, 2020)

Learning dynamic weights for an ensemble of deep models applied to medical imaging classification. - André G. C. Pacheco; Thomas Trappenberg; Renato A. Krohling (IJCNN, 2020)

The impact of patient clinical information on automated skin cancer detection. - André G. C. Pacheco; Renato A. Krohling (Comput. Biol. Medicine, 2020)

Deep learning for classification and severity estimation of coffee leaf biotic stress. - José G. M. Esgario; Renato A. Krohling; Jose A. Ventura (Comput. Electron. Agric., 2020)

Discovering an Aid Policy to Minimize Student Evasion Using Offline Reinforcement Learning. - Leandro M. de Lima; Renato A. Krohling (IJCNN, 2021)

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 (Comput. Electron. Agric., 2021)

A Smartphone based Application for Skin Cancer Classification Using Deep Learning with Clinical Images and Lesion Information. - Breno Krohling; Pedro B. C. Castro; André G. C. Pacheco; Renato A. Krohling (CoRR, 2021)

An Attention-Based Mechanism to Combine Images and Metadata in Deep Learning Models Applied to Skin Cancer Classification. - André G. C. Pacheco; Renato A. Krohling (IEEE J. Biomed. Health Informatics, 2021)

Exploring Advances in Transformers and CNN for Skin Lesion Diagnosis on Small Datasets. - Leandro M. de Lima; Renato A. Krohling (BRACIS (2), 2022)

Student Dropout Prediction using 1D CNN-LSTM with Variational Autoencoder Oversampling. - Eduarda C. Coppo; Rhuan S. Caetano; Leandro M. de Lima; Renato A. Krohling (LA-CCI, 2022)

Beyond Visual Image: Automated Diagnosis of Pigmented Skin Lesions Combining Clinical Image Features with Patient Data. - José G. M. Esgario; Renato A. Krohling (CoRR, 2022)

A visualization tool for data analysis on higher education dropout: a case study at UFES. - Pedro P. Ladeira; Leandro M. de Lima; Renato A. Krohling (CoRR, 2022)

Solving integer multi-objective optimization problems using TOPSIS, Differential Evolution and Tabu Search. - Renato A. Krohling; Erick R. F. A. Schneider (CoRR, 2022)

Development of a hybrid method for stock trading based on TOPSIS, EMD and ELM. - Elivelto Ebermam; Helder Knidel; Renato A. Krohling (CoRR, 2022)

1D Convolutional neural networks and machine learning algorithms for spectral data classification with a case study for Covid-19. - Breno Aguiar Krohling; Renato A. Krohling (CoRR, 2023)

Bayesian artificial brain with ChatGPT. - Renato A. Krohling (CoRR, 2023)

Skin cancer diagnosis using NIR spectroscopy data of skin lesions in vivo using machine learning algorithms. - Flavio P. Loss; Pedro H. da Cunha; Matheus Becali Rocha; Madson Poltronieri Zanoni; Leandro M. de Lima; Isadora Tavares Nascimento; Isabella Rezende; Tania R. P. Canuto; Luciana de Paula Vieira; Renan Rossoni; Maria C. S. Santos; Patricia Lyra Frasson; et al. (CoRR, 2024)

CBIDR: A novel method for information retrieval combining image and data by means of TOPSIS applied to medical diagnosis. - Humberto Giuri Calente; Renato A. Krohling (CoRR, 2024)

Transformers, convolutional neural networks, and few-shot learning for classification of histopathological images of oral cancer. - Beatriz Matias Santana Maia; Maria Clara Falcão Ribeiro de Assis; Leandro M. de Lima; Matheus Becali Rocha; Humberto Giuri Calente; Maria Luiza Armini Correa; Danielle Resende Camisasca; Renato Antonio Krohling (Expert Syst. Appl., 2024)

A multi-objective formulation for the team formation problem using Krippendorff's disagreement and sociometric cohesion with Pareto-solutions obtained via evolutionary algorithms. - André Luiz Netto Casotti; Renato A. Krohling (Comput. Oper. Res., 2024)

An extreme learning machine algorithm for semi-supervised classification of unbalanced data streams with concept drift. - Carlos A. S. da Silva; Renato A. Krohling (Multim. Tools Appl., 2024)

VAE-GNA: a variational autoencoder with Gaussian neurons in the latent space and attention mechanisms. - Matheus Becali Rocha; Renato A. Krohling (Knowl. Inf. Syst., 2024)

Diffusion models applied to skin and oral cancer classification. - José J. M. Uliana; Renato A. Krohling (CoRR, 2025)