An Emotion-Based Interaction Strategy to Improve Human-Robot Interaction. - Caetano Mazzoni Ranieri; Roseli A. F. Romero (LARS/SBR, 2016)

Tablets and humanoid robots as engaging platforms for teaching languages. - Daniel C. Tozadore; Adam H. M. Pinto; Caetano Mazzoni Ranieri; Murillo Rehder Batista; Roseli A. F. Romero (LARS/SBR, 2017)

Mineração de Textos para Gestão de Clientes em Empresas de Telecomunicações. - Dildre Georgiana Vasques; Leonardo Comelli; Caetano Mazzoni Ranieri; Solange O. Rezende (SBSI, 2017)

Effects of Emotion Grouping for Recognition in Human-Robot Interactions. - Daniel Tozadore; Caetano Mazzoni Ranieri; Guilherme Nardari; Vitor Guizilini; Roseli A. F. Romero (BRACIS, 2018)

Users' Perception Variance in Emotional Embodied Robots for Domestic Tasks. - Adam Henrique Moreira Pinto; Caetano Mazzoni Ranieri; Guilherme V. Nardari; Daniel Carnieto Tozadore; Roseli Aparecida Francelin Romero (LARS/SBR/WRE, 2018)

LARa: A Robotic Framework for Human-Robot Interaction on Indoor Environments. - Caetano Mazzoni Ranieri; Guilherme Vincentim Nardari; Adam Henrique Moreira Pinto; Daniel Carnieto Tozadore; Roseli Aparecida Francelin Romero (LARS/SBR/WRE, 2018)

Temporal Approaches for Human Activity Recognition Using Inertial Sensors. - Felipe Aparecido Garcia; Caetano Mazzoni Ranieri; Roseli Aparecida Francelin Romero (LARS/SBR/WRE, 2019)

Unveiling Parkinson's Disease Features from a Primate Model with Deep Neural Networks. - Caetano Mazzoni Ranieri; Renan Cipriano Moioli; Roseli A. F. Romero; Mariana F. P. de Araújo; Maxwell Barbosa De Santana; Jhielson M. Pimentel; Patrícia A. Vargas (IJCNN, 2020)

Uncovering Human Multimodal Activity Recognition with a Deep Learning Approach. - Caetano Mazzoni Ranieri; Patrícia A. Vargas; Roseli A. F. Romero (IJCNN, 2020)

A Data-Driven Biophysical Computational Model of Parkinson's Disease Based on Marmoset Monkeys. - Caetano Mazzoni Ranieri; Jhielson M. Pimentel; Marcelo R. Romano; Leonardo Abdala Elias; Roseli A. F. Romero; Michael A. Lones; Mariana F. P. Araújo; Patrícia A. Vargas; Renan Cipriano Moioli (IEEE Access, 2021)

A Neurorobotics Approach to Behaviour Selection based on Human Activity Recognition. - Caetano Mazzoni Ranieri; Renan Cipriano Moioli; Patrícia A. Vargas; Roseli A. F. Romero (CoRR, 2021)

Neuro4PD: An Initial Neurorobotics Model of Parkinson's Disease. - Jhielson M. Pimentel; Renan Cipriano Moioli; Mariana F. P. de Araújo; Caetano Mazzoni Ranieri; Roseli A. F. Romero; Frank Broz; Patrícia Amâncio Vargas (Frontiers Neurorobotics, 2021)

Memory-Based Pruning of Deep Neural Networks for IoT Devices Applied to Flood Detection. - Francisco Erivaldo Fernandes Junior; Luis Gustavo Nonato; Caetano Mazzoni Ranieri; Jó Ueyama (Sensors, 2021)

Activity Recognition for Ambient Assisted Living with Videos, Inertial Units and Ambient Sensors. - Caetano Mazzoni Ranieri; Scott MacLeod; Mauro Dragone; Patrícia Amâncio Vargas; Roseli Aparecida Francelin Romero (Sensors, 2021)

Maximizing portfolio profitability during a cryptocurrency downtrend: A Bitcoin Blockchain transaction-based approach. - Esteban Wilfredo Vilca Zuñiga; Caetano Mazzoni Ranieri; Liang Zhao 001; Jó Ueyama; Yu-tao Zhu; Donghong Ji (INNS DLIA@IJCNN, 2023)

Evaluating Conveyor Belt Health With Signal Processing Applied to Inertial Sensing. - Saulo Neves Matos; Otávio Ferracioli Coletti; Fernando Ugucioni Filho; Ricardo C. C. L. de Carvalho; Thomás V. B. Pinto; Luiz Guilherme Dias de Barros; Caetano Mazzoni Ranieri; Bruno Eduardo Lopes; Jó Ueyama; Gustavo Pessin (SIoT, 2023)

A Novel Mechanism for Misbehavior Detection in Vehicular Networks. - Edivaldo Pastori Valentini; Geraldo Pereira Rocha Filho; Robson Eduardo De Grande; Caetano Mazzoni Ranieri; Lourenço Alves Pereira Júnior; Rodolfo Ipolito Meneguette (IEEE Access, 2023)

FLORAS: urban flash-flood prediction using a multivariate model. - Lucas Augusto Vieira Brito; Rodolfo I. Meneguette; Robson E. De Grande; Caetano Mazzoni Ranieri; Jó Ueyama (Appl. Intell., 2023)

MADCS: A Middleware for Anomaly Detection and Content Sharing for Blockchain-Based Systems. - Alef Vinicius Cardoso e Silva; Felipe Taliar Giuntini; Caetano Mazzoni Ranieri; Rodolfo Ipolito Meneguette; Rodrigo Dutra Garcia; Gowri Sankar Ramachandran; Bhaskar Krishnamachari; Jó Ueyama (J. Netw. Syst. Manag., 2023)

A Closed-Loop Deep Brain Stimulation Biomedical Model of Parkinson's Disease. - Timothe Petitjean; Hugo Millet; Mariana F. P. Araújo; Renan Cipriano Moioli; Patrícia Amâncio Vargas; Caetano Mazzoni Ranieri (CIBCB, 2024)

Machine Learning Techniques for Improving Multiclass Anomaly Detection on Conveyor Belts. - Saulo N. Matos; Otávio Ferracioli Coletti; Rafael Zimmer; Fernando Ugucioni Filho; Ricardo C. C. L. de Carvalho; Victor R. da Silva; Jorge Luiz Franco; Thomás V. B. Pinto; Luiz Guilherme Dias de Barros; Caetano Mazzoni Ranieri; Bruno Eduardo Lopes; Diego F. Silva; et al. (I2MTC, 2024)

ChaSAM: An Architecture Based on Perceptual Hashing for Image Detection in Computer Forensics. - Hericson Dos Santos; Tiago Dos Santos Martins; Jorge Andre Domingues Barreto; Luis Hideo Vasconcelos Nakamura; Caetano Mazzoni Ranieri; Robson E. De Grande; Geraldo P. Rocha Filho; Rodolfo I. Meneguette (IEEE Access, 2024)

A Survey of Blockchain-Based Privacy Applications: An Analysis of Consent Management and Self-Sovereign Identity Approaches. - Rodrigo Dutra Garcia; Gowri Sankar Ramachandran; Kealan Dunnett; Raja Jurdak; Caetano Mazzoni Ranieri; Bhaskar Krishnamachari; Jo Ueyama (CoRR, 2024)

An Evaluation of Iron Ore Characteristics Through Machine Learning and 2-D LiDAR Technology. - Saulo N. Matos; Thomás V. B. Pinto; Jacó Domingues; Caetano Mazzoni Ranieri; Kaike S. Albuquerque; Vinicius da Silva Moreira; Ernandes S. Souza; Jó Ueyama; Thiago Antonio M. Euzébio; Gustavo Pessin (IEEE Trans. Instrum. Meas., 2024)

Water level identification with laser sensors, inertial units, and machine learning. - Caetano Mazzoni Ranieri; Angelo V. K. Foletto; Rodrigo Dutra Garcia; Saulo N. Matos; Maria M. G. Medina; Leandro Soriano Marcolino; Jó Ueyama (Eng. Appl. Artif. Intell., 2024)

A deep learning workflow enhanced with optical flow fields for flood risk estimation. - Caetano Mazzoni Ranieri; Thaís Luiza Donega e Souza; Marislei Nishijima; Bhaskar Krishnamachari; Jó Ueyama (Appl. Intell., 2024)

Is a poster a strong signal of film quality? evaluating the predictive power of visual elements using deep learning. - Thaís Luiza Donega e Souza; Caetano Mazzoni Ranieri; Anand Panangadan; Jó Ueyama; Marislei Nishijima (Multim. Tools Appl., 2025)