Caetano Mazzoni Ranieri

According to our database, Caetano Mazzoni Ranieri authored at least 25 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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., April, 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., January, 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

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 Ipolito Meneguette

IEEE Access, 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 L. Franco, Thomás V. B. Pinto, Luiz Guilherme Dias de Barros, Caetano Mazzoni Ranieri, Bruno Eduardo Lopes, Diego F. Silva, Jó Ueyama, Gustavo Pessin

Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2024

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

Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2024

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., July, 2023

FLORAS: urban flash-flood prediction using a multivariate model.

Lucas Augusto Vieira Brito, Rodolfo Ipolito Meneguette, Robson E. De Grande, Caetano Mazzoni Ranieri, Jó Ueyama

Appl. Intell., June, 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

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

Proceedings of the Symposium on Internet of Things, 2023

Maximizing portfolio profitability during a cryptocurrency downtrend: A Bitcoin Blockchain transaction-based approach.

Esteban Wilfredo Vilca Zuñiga, Caetano Mazzoni Ranieri, Liang Zhao, Jó Ueyama, Yu-tao Zhu, Donghong Ji

Proceedings of the International Neural Network Society Workshop on Deep Learning Innovations and Applications, 2023

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

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

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

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

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

2020

Uncovering Human Multimodal Activity Recognition with a Deep Learning Approach.

Caetano Mazzoni Ranieri, Patrícia A. Vargas, Roseli A. F. Romero

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

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

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019

Temporal Approaches for Human Activity Recognition Using Inertial Sensors.

Felipe Aparecido Garcia, Caetano Mazzoni Ranieri, Roseli Aparecida Francelin Romero

Proceedings of the Latin American Robotics Symposium, 2019

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

Proceedings of the Latin American Robotic Symposium, 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

Proceedings of the Latin American Robotic Symposium, 2018

Effects of Emotion Grouping for Recognition in Human-Robot Interactions.

Daniel Tozadore, Caetano Mazzoni Ranieri, Guilherme Nardari, Vitor Guizilini, Roseli A. F. Romero

Proceedings of the 7th Brazilian Conference on Intelligent Systems, 2018

2017

Mineração de Textos para Gestão de Clientes em Empresas de Telecomunicações.

Dildre Georgiana Vasques, Leonardo Comelli, Caetano Mazzoni Ranieri, Solange O. Rezende

Proceedings of the 13th Brazilian Symposium on Information Systems, 2017

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

Proceedings of the 2017 Latin American Robotics Symposium (LARS) and 2017 Brazilian Symposium on Robotics (SBR), 2017

2016

An Emotion-Based Interaction Strategy to Improve Human-Robot Interaction.

Caetano Mazzoni Ranieri, Roseli A. F. Romero

Proceedings of the XIII Latin American Robotics Symposium and IV Brazilian Robotics Symposium, 2016