Rodrigo Clemente Thom Souza

According to our database, Rodrigo Clemente Thom Souza authored at least 14 papers between 2009 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

Multi-Scale Convolutional Chebyshev Kolmogorov-Arnold Networks Using Conformal Prediction for Photovoltaic Power Forecasting.

Lucas de Azevedo Takara, Rodrigo Clemente Thom de Souza, Viviana Cocco Mariani, Leandro dos Santos Coelho, Stéfano Frizzo Stefenon

IEEE Access, 2026

A Multimodal Model for Fault Diagnosis in Induction Motors Using Thermal Images and Large Language Models.

Luiz Fillipe Dahmer dos Santos, Jorge Luiz dos Santos Canuto, Linnyer Beatrys Ruiz Aylon, Viviana Cocco Mariani, Rodrigo Clemente Thom Souza

IEEE Access, 2026

An Empirical Comparison of CNN and ViT Features for Visually-Aware Fashion Recommendation.

Lucas Silva Couto, Rodrigo Calvo, Rodrigo Clemente Thom de Souza, Marcos Aurélio Domingues

Proceedings of the 28th International Conference on Enterprise Information Systems, 2026

2025

KAN-Mixers: a new deep learning architecture for image classification.

Jorge Luiz dos Santos Canuto, Linnyer Beatrys Ruiz Aylon, Rodrigo Clemente Thom de Souza

CoRR, March, 2025

2024

Machine Learning for Gesture Recognition Using Leap Motion Controller.

Henrique S. Felizardo, Leonichel J. M. Guimarães, Heloise M. P. Teixeira, Rodrigo Clemente Thom Souza, Linnyer Beatrys Ruiz Aylon, Yandre M. G. Costa

Proceedings of the Artificial Intelligence and Soft Computing, 2024

2023

Thermographic image-based diagnosis of failures in electrical motors using deep transfer learning.

Luiz Fillipe Dahmer dos Santos, Jorge Luiz dos Santos Canuto, Rodrigo Clemente Thom de Souza, Linnyer Beatrys Ruiz Aylon

Eng. Appl. Artif. Intell., November, 2023

Web pages from mockup design based on convolutional neural network and class activation mapping.

André Armstrong Janino Cizotto, Rodrigo Clemente Thom de Souza, Viviana Cocco Mariani, Leandro dos Santos Coelho

Multim. Tools Appl., October, 2023

Element-Wise Attention Layers: an option for optimization.

Giovanni Araujo Bacochina, Rodrigo Clemente Thom de Souza

CoRR, 2023

2022

Photometric redshifts for the S-PLUS Survey: Is machine learning up to the task?

Erik Rodrigues de Lima, Laerte Sodré Jr., Clecio Roque De Bom, Gabriel S. M. Teixeira, Lilianne Mariko Izuti Nakazono, Maria Luisa Buzzo, Carolina Queiroz, Fabrício Herpich, Jos Luis Nilo Castellón, M. L. L. Dantas, O. L. Dors Jr., Rodrigo Clemente Thom Souza, Stavros Akras, Yolanda Jiménez-Teja, Antonio Kanaan, Tiago Ribeiro, William Schoenell

Astron. Comput., 2022

Quantitative Models for Forecasting Demand for Perishable Products: A Systematic Review.

Jonathan Vinicius Kaizer, Rodrigo Clemente Thom de Souza, Linnyer Beatrys Ruiz Aylon

Proceedings of the Advances in Artificial Intelligence - IBERAMIA 2022, 2022

2020

Binary coyote optimization algorithm for feature selection.

Rodrigo Clemente Thom de Souza, Camila Andrade de Macedo, Leandro dos Santos Coelho, Juliano Pierezan, Viviana Cocco Mariani

Pattern Recognit., 2020

2018

A V-Shaped Binary Crow Search Algorithm for Feature Selection.

Rodrigo Clemente Thom de Souza, Leandro dos Santos Coelho, Camila Andrade de Macedo, Juliano Pierezan

Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

2009

Improved differential evolution approach based on cultural algorithm and diversity measure applied to solve economic load dispatch problems.

Leandro dos Santos Coelho, Rodrigo Clemente Thom Souza, Viviana Cocco Mariani

Math. Comput. Simul., 2009

A Normative Self-Organizing Migrating Algorithm for Power Economic Dispatch of Thermal Generators with Valve-Point Effects and Multiple Fuels.

Leandro dos Santos Coelho, Rodrigo Clemente Thom Souza, Viviana Cocco Mariani

Proceedings of the IEEE International Conference on Systems, 2009