Renato A. Krohling
Orcid: 0000-0001-8861-4274Affiliations:
- Federal University of Espirito Santo, Vitória, Brazil
According to our database1,
Renato A. Krohling
authored at least 76 papers
between 1999 and 2024.
Collaborative distances:
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Bibliography
2024
VAE-GNA: a variational autoencoder with Gaussian neurons in the latent space and attention mechanisms.
Knowl. Inf. Syst., October, 2024
An extreme learning machine algorithm for semi-supervised classification of unbalanced data streams with concept drift.
Multim. Tools Appl., April, 2024
A multi-objective formulation for the team formation problem using Krippendorff's disagreement and sociometric cohesion with Pareto-solutions obtained via evolutionary algorithms.
Comput. Oper. Res., January, 2024
Transformers, convolutional neural networks, and few-shot learning for classification of histopathological images of oral cancer.
Expert Syst. Appl., 2024
CBIDR: A novel method for information retrieval combining image and data by means of TOPSIS applied to medical diagnosis.
CoRR, 2024
Skin cancer diagnosis using NIR spectroscopy data of skin lesions in vivo using machine learning algorithms.
CoRR, 2024
2023
1D Convolutional neural networks and machine learning algorithms for spectral data classification with a case study for Covid-19.
CoRR, 2023
2022
CoRR, 2022
Solving integer multi-objective optimization problems using TOPSIS, Differential Evolution and Tabu Search.
CoRR, 2022
A visualization tool for data analysis on higher education dropout: a case study at UFES.
CoRR, 2022
Beyond Visual Image: Automated Diagnosis of Pigmented Skin Lesions Combining Clinical Image Features with Patient Data.
CoRR, 2022
Student Dropout Prediction using 1D CNN-LSTM with Variational Autoencoder Oversampling.
Proceedings of the 2022 IEEE Latin American Conference on Computational Intelligence (LA-CCI), 2022
Exploring Advances in Transformers and CNN for Skin Lesion Diagnosis on Small Datasets.
Proceedings of the Intelligent Systems - 11th Brazilian Conference, 2022
2021
An Attention-Based Mechanism to Combine Images and Metadata in Deep Learning Models Applied to Skin Cancer Classification.
IEEE J. Biomed. Health Informatics, 2021
A Smartphone based Application for Skin Cancer Classification Using Deep Learning with Clinical Images and Lesion Information.
CoRR, 2021
A deep learning approach combining instance and semantic segmentation to identify diseases and pests of coffee leaves from in-field images.
Comput. Electron. Agric., 2021
Discovering an Aid Policy to Minimize Student Evasion Using Offline Reinforcement Learning.
Proceedings of the International Joint Conference on Neural Networks, 2021
2020
Deep learning for classification and severity estimation of coffee leaf biotic stress.
Comput. Electron. Agric., 2020
Comput. Biol. Medicine, 2020
Learning dynamic weights for an ensemble of deep models applied to medical imaging classification.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
An app to detect melanoma using deep learning: An approach to handle imbalanced data based on evolutionary algorithms.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
On Out-of-Distribution Detection Algorithms with Deep Neural Skin Cancer Classifiers.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
2019
A smartphone application to detection and classification of coffee leaf miner and coffee leaf rust.
CoRR, 2019
Semi-Supervised Online Elastic Extreme Learning Machine with Forgetting Parameter to deal with concept drift in data streams.
Proceedings of the International Joint Conference on Neural Networks, 2019
Proceedings of the International Joint Conference on Neural Networks, 2019
Generating a Fuzzy Rule Based Classification System by genetic learning of granularity level using TOPSIS.
Proceedings of the 11th Conference of the European Society for Fuzzy Logic and Technology, 2019
A Multiobjective Genetic Approach with TOPSIS to Learn Fuzzy Rule-Based Classification Systems.
Proceedings of the 8th Brazilian Conference on Intelligent Systems, 2019
2018
Aggregation of neural classifiers using Choquet integral with respect to a fuzzy measure.
Neurocomputing, 2018
Restricted Boltzmann machine to determine the input weights for extreme learning machines.
Expert Syst. Appl., 2018
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
An approach to improve online sequential extreme learning machines using restricted Boltzmann machines.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
Proceedings of the 2018 IEEE International Conference on Fuzzy Systems, 2018
Proceedings of the 2018 IEEE International Conference on Fuzzy Systems, 2018
Empirical Mode Decomposition, Extreme Learning Machine and Long Short-Term Memory for Time Series Prediction: A Comparative Study.
Proceedings of the 7th Brazilian Conference on Intelligent Systems, 2018
2017
Choquet based TOPSIS and TODIM for dynamic and heterogeneous decision making with criteria interaction.
Inf. Sci., 2017
2016
Knowl. Based Syst., 2016
A generalized TOPSIS method for group decision making with heterogeneous information in a dynamic environment.
Inf. Sci., 2016
Ranking of classification algorithms in terms of mean-standard deviation using A-TOPSIS.
CoRR, 2016
An approach to dealing with missing values in heterogeneous data using k-nearest neighbors.
CoRR, 2016
2015
Appl. Soft Comput., 2015
Differential Evolution and Nelder-mead for Constrained Non-linear Integer Optimization Problems.
Proceedings of the Third International Conference on Information Technology and Quantitative Management, 2015
Proceedings of the Third International Conference on Information Technology and Quantitative Management, 2015
Proceedings of the Third International Conference on Information Technology and Quantitative Management, 2015
Proceedings of the Third International Conference on Information Technology and Quantitative Management, 2015
2014
IEEE Trans. Cybern., 2014
A hybrid approach using TOPSIS, Differential Evolution, and Tabu Search to find multiple solutions of constrained non-linear integer optimization problems.
Knowl. Based Syst., 2014
The Hellinger distance in Multicriteria Decision Making: An illustration to the TOPSIS and TODIM methods.
Expert Syst. Appl., 2014
Proceedings of the Second International Conference on Information Technology and Quantitative Management, 2014
Bare bones particle swarm with scale mixtures of Gaussians for dynamic constrained optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014
2013
Knowl. Based Syst., 2013
Expert Syst. Appl., 2013
Hierarchical bare bones particle swarm for solving constrained optimization problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013
2012
A differential evolution approach for solving constrained min-max optimization problems.
Expert Syst. Appl., 2012
Expert Syst. Appl., 2012
A co-evolutionary differential evolution algorithm for solving min-max optimization problems implemented on GPU using C-CUDA.
Expert Syst. Appl., 2012
2011
Inf. Sci., 2011
Fuzzy TOPSIS for group decision making: A case study for accidents with oil spill in the sea.
Expert Syst. Appl., 2011
2010
Proceedings of the IEEE Congress on Evolutionary Computation, 2010
2009
Bare Bones Particle Swarm Applied to Parameter Estimation of Mixed Weibull Distribution.
Proceedings of the Soft Computing in Industrial Applications, 2009
Proceedings of the IEEE Congress on Evolutionary Computation, 2009
Proceedings of the IEEE Congress on Evolutionary Computation, 2009
2006
Coevolutionary Particle Swarm Optimization Using Gaussian Distribution for Solving Constrained Optimization Problems.
IEEE Trans. Syst. Man Cybern. Part B, 2006
Nonlinear System Identification Based on B-Spline Neural Network and Modified Particle Swarm Optimization.
Proceedings of the International Joint Conference on Neural Networks, 2006
Proceedings of the IEEE International Conference on Evolutionary Computation, 2006
2005
Parameter tuning of a computed-torque controller for a 5 degree of freedom robot arm using co-evolutionary particle swarm optimization.
Proceedings of the 2005 IEEE Swarm Intelligence Symposium, 2005
Proceedings of the IEEE Congress on Evolutionary Computation, 2005
2004
Co-evolutionary particle swarm optimization for min-max problems using Gaussian distribution.
Proceedings of the IEEE Congress on Evolutionary Computation, 2004
2002
Proceedings of the 2002 Congress on Evolutionary Computation, 2002
Proceedings of the 2002 Congress on Evolutionary Computation, 2002
Parameters tuning of multivariable controllers based on memetic algorithm: fundamentals and application.
Proceedings of the 2002 IEEE International Symposium on Intelligent Control, 2002
2001
IEEE Trans. Evol. Comput., 2001
1999
Entwicklung von neuen Verfahren zum Reglerentwurf mit Hilfe von genetischen Algorithmen.
PhD thesis, 1999