Renato A. Krohling

84 papers B 21Misc 1Journal 49Unranked 12

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	A Novel Interpretable Approach to Deep Multimodal Data Fusion Applied to Cancer Diagnosis. BRACIS (3) Leandro M. de Lima, Matheus Becali Rocha, Renato A. Krohling
2025	B	`conf`	CBIDR: A novel method for information retrieval combining image and data by means of TOPSIS applied to medical diagnosis. IJCNN Humberto Giuri Calente, Renato A. Krohling
2025	J	`jnl`	Combining SHAP and Causal Analysis for Interpretable Fault Detection in Industrial Processes. CoRR Pedro Cortes dos Santos, Matheus Becali Rocha, Renato A. Krohling
2025	J	`jnl`	Diffusion models applied to skin and oral cancer classification. CoRR José J. M. Uliana, Renato A. Krohling
2025	J	`jnl`	Enhancing Diagnostic Accuracy for Urinary Tract Disease through Explainable SHAP-Guided Feature Selection and Classification. CoRR Filipe Ferreira de Oliveira, Matheus Becali Rocha, Renato A. Krohling
2024	J	`jnl`	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. André Luiz Netto Casotti, Renato A. Krohling
2024	J	`jnl`	An extreme learning machine algorithm for semi-supervised classification of unbalanced data streams with concept drift. Multim. Tools Appl. Carlos A. S. da Silva, Renato A. Krohling
2024	J	`jnl`	CBIDR: A novel method for information retrieval combining image and data by means of TOPSIS applied to medical diagnosis. CoRR Humberto Giuri Calente, Renato A. Krohling
2024	J	`jnl`	Skin cancer diagnosis using NIR spectroscopy data of skin lesions in vivo using machine learning algorithms. CoRR 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, Wanderson Romão, Paulo R. Filgueiras, Renato A. Krohling
2024	J	`jnl`	VAE-GNA: a variational autoencoder with Gaussian neurons in the latent space and attention mechanisms. Knowl. Inf. Syst. Matheus Becali Rocha, Renato A. Krohling
2023	J	`jnl`	1D Convolutional neural networks and machine learning algorithms for spectral data classification with a case study for Covid-19. CoRR Breno Aguiar Krohling, Renato A. Krohling
2023	J	`jnl`	Bayesian artificial brain with ChatGPT. CoRR Renato A. Krohling
2022	J	`jnl`	A visualization tool for data analysis on higher education dropout: a case study at UFES. CoRR Pedro P. Ladeira, Leandro M. de Lima, Renato A. Krohling
2022	J	`jnl`	Beyond Visual Image: Automated Diagnosis of Pigmented Skin Lesions Combining Clinical Image Features with Patient Data. CoRR José G. M. Esgario, Renato A. Krohling
2022	J	`jnl`	Development of a hybrid method for stock trading based on TOPSIS, EMD and ELM. CoRR Elivelto Ebermam, Helder Knidel, Renato A. Krohling
2022	—	`conf`	Exploring Advances in Transformers and CNN for Skin Lesion Diagnosis on Small Datasets. BRACIS (2) Leandro M. de Lima, Renato A. Krohling
2022	J	`jnl`	Exploring Advances in Transformers and CNN for Skin Lesion Diagnosis on Small Datasets. CoRR Leandro M. de Lima, Renato A. Krohling
2022	J	`jnl`	Solving integer multi-objective optimization problems using TOPSIS, Differential Evolution and Tabu Search. CoRR Renato A. Krohling, Erick R. F. A. Schneider
2022	—	`conf`	Student Dropout Prediction using 1D CNN-LSTM with Variational Autoencoder Oversampling. LA-CCI Eduarda C. Coppo, Rhuan S. Caetano, Leandro M. de Lima, Renato A. Krohling
2021	J	`jnl`	A Smartphone based Application for Skin Cancer Classification Using Deep Learning with Clinical Images and Lesion Information. CoRR Breno Krohling, Pedro B. C. Castro, André G. C. Pacheco, Renato A. Krohling
2021	J	`jnl`	A deep learning approach combining instance and semantic segmentation to identify diseases and pests of coffee leaves from in-field images. Comput. Electron. Agric. Lucas M. Tassis, João E. Tozzi de Souza, Renato A. Krohling
2021	J	`jnl`	An Attention-Based Mechanism to Combine Images and Metadata in Deep Learning Models Applied to Skin Cancer Classification. IEEE J. Biomed. Health Informatics André G. C. Pacheco, Renato A. Krohling
2021	B	`conf`	Discovering an Aid Policy to Minimize Student Evasion Using Offline Reinforcement Learning. IJCNN Leandro M. de Lima, Renato A. Krohling
2021	J	`jnl`	Discovering an Aid Policy to Minimize Student Evasion Using Offline Reinforcement Learning. CoRR Leandro M. de Lima, Renato A. Krohling
2020	B	`conf`	An app to detect melanoma using deep learning: An approach to handle imbalanced data based on evolutionary algorithms. IJCNN Pedro B. C. Castro, Breno Krohling, André G. C. Pacheco, Renato A. Krohling
2020	J	`jnl`	Deep learning for classification and severity estimation of coffee leaf biotic stress. Comput. Electron. Agric. José G. M. Esgario, Renato A. Krohling, Jose A. Ventura
2020	B	`conf`	Learning dynamic weights for an ensemble of deep models applied to medical imaging classification. IJCNN André G. C. Pacheco, Thomas Trappenberg, Renato A. Krohling
2020	—	`conf`	On Out-of-Distribution Detection Algorithms with Deep Neural Skin Cancer Classifiers. CVPR Workshops André G. C. Pacheco, Chandramouli Shama Sastry, Thomas Trappenberg, Sageev Oore, Renato A. Krohling
2020	J	`jnl`	The impact of patient clinical information on automated skin cancer detection. Comput. Biol. Medicine André G. C. Pacheco, Renato A. Krohling
2019	J	`jnl`	A smartphone application to detection and classification of coffee leaf miner and coffee leaf rust. CoRR Giuliano L. Manso, Helder Knidel, Renato A. Krohling, Jose A. Ventura
2019	J	`jnl`	Application of Genetic Algorithms to the Multiple Team Formation Problem. CoRR José G. M. Esgario, Iago E. da Silva, Renato A. Krohling
2019	J	`jnl`	Deep Learning for Classification and Severity Estimation of Coffee Leaf Biotic Stress. CoRR José G. M. Esgario, Renato A. Krohling, Jose A. Ventura
2019	J	`jnl`	Recent advances in deep learning applied to skin cancer detection. CoRR André G. C. Pacheco, Renato A. Krohling
2019	B	`conf`	Semi-Supervised Online Elastic Extreme Learning Machine with Forgetting Parameter to deal with concept drift in data streams. IJCNN Carlos A. S. da Silva, Renato A. Krohling
2019	B	`conf`	Skin lesion segmentation using deep learning for images acquired from smartphones. IJCNN Gabriel De Angelo, André G. C. Pacheco, Renato A. Krohling
2019	J	`jnl`	TODIM and TOPSIS with Z-numbers. Frontiers Inf. Technol. Electron. Eng. Renato A. Krohling, André G. C. Pacheco, Guilherme Artem dos Santos
2019	J	`jnl`	The impact of patient clinical information on automated skin cancer detection. CoRR André G. C. Pacheco, Renato A. Krohling
2018	B	`conf`	A Fuzzy Sociometric Approach to Human Resource Allocation. FUZZ-IEEE Iago E. da Silva, Renato A. Krohling
2018	J	`jnl`	Aggregation of neural classifiers using Choquet integral with respect to a fuzzy measure. Neurocomputing André G. C. Pacheco, Renato A. Krohling
2018	B	`conf`	An approach to improve online sequential extreme learning machines using restricted Boltzmann machines. IJCNN André G. C. Pacheco, Renato A. Krohling
2018	B	`conf`	Clustering with Minimum Spanning Tree using TOPSIS with Multi-Criteria Information. FUZZ-IEEE José G. M. Esgario, Renato A. Krohling
2018	—	`conf`	Empirical Mode Decomposition, Extreme Learning Machine and Long Short-Term Memory for Time Series Prediction: A Comparative Study. BRACIS Elivelto Ebermam, Gabriel De Angelo, Helder Knidel, Renato A. Krohling
2018	J	`jnl`	Restricted Boltzmann machine to determine the input weights for extreme learning machines. Expert Syst. Appl. André G. C. Pacheco, Renato A. Krohling, Carlos A. S. da Silva
2018	B	`conf`	Semi-Supervised Online Elastic Extreme Learning Machine for Data Classification. IJCNN Carlos A. S. da Silva, Renato A. Krohling
2017	J	`jnl`	Choquet based TOPSIS and TODIM for dynamic and heterogeneous decision making with criteria interaction. Inf. Sci. Rodolfo Lourenzutti, Renato A. Krohling, Marek Z. Reformat
2017	J	`jnl`	Restricted Boltzmann machine to determine the input weights for extreme learning machines. CoRR André G. C. Pacheco, Renato A. Krohling, Carlos A. S. da Silva
2016	J	`jnl`	A generalized TOPSIS method for group decision making with heterogeneous information in a dynamic environment. Inf. Sci. Rodolfo Lourenzutti, Renato A. Krohling
2016	J	`jnl`	An approach to dealing with missing values in heterogeneous data using k-nearest neighbors. CoRR Davi E. N. Frossard, Igor O. Nunes, Renato A. Krohling
2016	J	`jnl`	Entropy-based bare bones particle swarm for dynamic constrained optimization. Knowl. Based Syst. Mauro Campos, Renato A. Krohling
2016	J	`jnl`	Ranking of classification algorithms in terms of mean-standard deviation using A-TOPSIS. CoRR André G. C. Pacheco, Renato A. Krohling
2016	J	`jnl`	TODIM and TOPSIS with Z-numbers. CoRR Renato A. Krohling, Guilherme Artem dos Santos, André G. C. Pacheco
2015	—	`conf`	A-TOPSIS - An Approach Based on TOPSIS for Ranking Evolutionary Algorithms. ITQM Renato A. Krohling, André G. C. Pacheco
2015	—	`conf`	Differential Evolution and Nelder-mead for Constrained Non-linear Integer Optimization Problems. ITQM Felipe Luchi, Renato A. Krohling
2015	J	`jnl`	Ranking and comparing evolutionary algorithms with Hellinger-TOPSIS. Appl. Soft Comput. Renato A. Krohling, Rodolfo Lourenzutti, Mauro Campos
2015	—	`conf`	TODIM Based Method to Process Heterogeneous Information. ITQM Rodolfo Lourenzutti, Renato A. Krohling
2015	—	`conf`	Time Series Prediction Using Restricted Boltzmann Machines and Backpropagation. ITQM Rafael Hrasko, André G. C. Pacheco, Renato A. Krohling
2014	J	`jnl`	A hybrid approach using TOPSIS, Differential Evolution, and Tabu Search to find multiple solutions of constrained non-linear integer optimization problems. Knowl. Based Syst. Erick R. F. A. Schneider, Renato A. Krohling
2014	J	`jnl`	Bare Bones Particle Swarm Optimization With Scale Matrix Adaptation. IEEE Trans. Cybern. Mauro Campos, Renato A. Krohling, Ivan Enriquez
2014	B	`conf`	Bare bones particle swarm with scale mixtures of Gaussians for dynamic constrained optimization. IEEE Congress on Evolutionary Computation Mauro Campos, Renato A. Krohling
2014	—	`conf`	Interval-valued Intuitionistic Fuzzy TODIM. ITQM Renato A. Krohling, André G. C. Pacheco
2014	J	`jnl`	The Hellinger distance in Multicriteria Decision Making: An illustration to the TOPSIS and TODIM methods. Expert Syst. Appl. Rodolfo Lourenzutti, Renato A. Krohling
2013	J	`jnl`	A study of TODIM in a intuitionistic fuzzy and random environment. Expert Syst. Appl. Rodolfo Lourenzutti, Renato A. Krohling
2013	B	`conf`	Hierarchical bare bones particle swarm for solving constrained optimization problems. IEEE Congress on Evolutionary Computation Mauro Campos, Renato A. Krohling
2013	J	`jnl`	IF-TODIM: An intuitionistic fuzzy TODIM to multi-criteria decision making. Knowl. Based Syst. Renato A. Krohling, André G. C. Pacheco, André L. T. Siviero
2012	J	`jnl`	A co-evolutionary differential evolution algorithm for solving min-max optimization problems implemented on GPU using C-CUDA. Expert Syst. Appl. Fábio Fabris, Renato A. Krohling
2012	J	`jnl`	A differential evolution approach for solving constrained min-max optimization problems. Expert Syst. Appl. Gilberto A. S. Segundo, Renato A. Krohling, Rodrigo C. Cosme
2012	J	`jnl`	Combining prospect theory and fuzzy numbers to multi-criteria decision making. Expert Syst. Appl. Renato A. Krohling, Talles T. M. de Souza
2011	J	`jnl`	Fuzzy TOPSIS for group decision making: A case study for accidents with oil spill in the sea. Expert Syst. Appl. Renato A. Krohling, Vinicius C. Campanharo
2011	J	`jnl`	Swarm algorithms with chaotic jumps applied to noisy optimization problems. Inf. Sci. Eduardo Mendel, Renato A. Krohling, Mauro Campos
2010	B	`conf`	Differential evolution algorithm on the GPU with C-CUDA. IEEE Congress on Evolutionary Computation Lucas de Paula Veronese, Renato A. Krohling
2009	Misc	`conf`	Bare Bones Particle Swarm Applied to Parameter Estimation of Mixed Weibull Distribution. WSC Renato A. Krohling, Mauro Campos, Patrick Borges
2009	B	`conf`	Bare Bones Particle Swarm Optimization with Gaussian or Cauchy jumps. IEEE Congress on Evolutionary Computation Renato A. Krohling, Eduardo Mendel
2009	B	`conf`	Swarm's flight: Accelerating the particles using C-CUDA. IEEE Congress on Evolutionary Computation Lucas de Paula Veronese, Renato A. Krohling
2006	J	`jnl`	Coevolutionary Particle Swarm Optimization Using Gaussian Distribution for Solving Constrained Optimization Problems. IEEE Trans. Syst. Man Cybern. Part B Renato A. Krohling, Leandro dos Santos Coelho
2006	B	`conf`	Nonlinear System Identification Based on B-Spline Neural Network and Modified Particle Swarm Optimization. IJCNN Leandro dos Santos Coelho, Renato A. Krohling
2006	B	`conf`	PSO-E: Particle Swarm with Exponential Distribution. IEEE Congress on Evolutionary Computation Renato A. Krohling, Leandro dos Santos Coelho
2005	B	`conf`	Gaussian particle swarm with jumps. Congress on Evolutionary Computation Renato A. Krohling
2005	—	`conf`	Parameter tuning of a computed-torque controller for a 5 degree of freedom robot arm using co-evolutionary particle swarm optimization. SIS Andi Asmara, Renato A. Krohling, Frank Hoffmann
2004	B	`conf`	Co-evolutionary particle swarm optimization for min-max problems using Gaussian distribution. IEEE Congress on Evolutionary Computation Renato A. Krohling, Frank Hoffmann, Leandro dos Santos Coelho
2002	B	`conf`	Co-evolutionary particle swarm optimization to solve min-max problems. IEEE Congress on Evolutionary Computation Yuhui Shi, Renato A. Krohling
2002	—	`conf`	Parameters tuning of multivariable controllers based on memetic algorithm: fundamentals and application. ISIC Leandro dos Santos Coelho, Antonio Augusto Rodrigues Coelho, Renato A. Krohling
2002	B	`conf`	Solving numerical equations of hydraulic problems using particle swarm optimization. IEEE Congress on Evolutionary Computation Renato A. Krohling, Helder Knidel, Yuhui Shi
2001	J	`jnl`	Design of optimal disturbance rejection PID controllers using genetic algorithms. IEEE Trans. Evol. Comput. Renato A. Krohling, Joost P. Rey
1999	—	`—`	Entwicklung von neuen Verfahren zum Reglerentwurf mit Hilfe von genetischen Algorithmen. Renato A. Krohling