Ivan Rizzo Guilherme

According to our database, Ivan Rizzo Guilherme authored at least 31 papers between 1992 and 2024.

Collaborative distances:

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

2024

Introducing Bode: A Fine-Tuned Large Language Model for Portuguese Prompt-Based Task.

Gabriel Lino Garcia, Pedro Henrique Paiola, Luis Henrique Morelli, Giovani Candido, Arnaldo Cândido Júnior, Danilo Samuel Jodas, Luis C. S. Afonso, Ivan Rizzo Guilherme, Bruno Elias Penteado, João Paulo Papa

CoRR, 2024

2023

A Meta-Feature Model for Exploiting Different Regressors to Estimate Sugarcane Crop Yield.

Luiz Antonio Falaguasta Barbosa, Daniel Carlos Guimarães Pedronette, Ivan Rizzo Guilherme

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

PsyBERTpt: A Clinical Entity Recognition Model for Psychiatric Narratives.

Luiz Henrique Pereira Niero, Ivan Rizzo Guilherme, Lucas Emanuel Silva e Oliveira, Gerardo Maria de Araújo Filho

Proceedings of the 36th IEEE International Symposium on Computer-Based Medical Systems, 2023

2022

RaDE+: A semantic rank-based graph embedding algorithm.

Filipe Alves de Fernando, Daniel Carlos Guimarães Pedronette, Gustavo José de Sousa, Lucas Pascotti Valem, Ivan Rizzo Guilherme

Int. J. Inf. Manag. Data Insights, 2022

PetroBERT: A Domain Adaptation Language Model for Oil and Gas Applications in Portuguese.

Rafael Bezerra de Menezes Rodrigues, Pedro Ivo Monteiro Privatto, Gustavo José de Sousa, Rafael P. Murari, Luis C. S. Afonso, João P. Papa, Daniel C. G. Pedronette, Ivan Rizzo Guilherme, Stephan R. Perrout, Aliel F. Riente

Proceedings of the Computational Processing of the Portuguese Language, 2022

Semi-automatic CNN Architectural Pruning using the Bayesian Case Model and Dimensionality Reduction Visualization.

Wilson Estécio Marcílio-Jr, Danilo Medeiros Eler, Ivan Rizzo Guilherme

Proceedings of the 17th International Joint Conference on Computer Vision, 2022

2021

When External Knowledge Does Not Aggregate in Named Entity Recognition.

Pedro Ivo Monteiro Privatto, Ivan Rizzo Guilherme

Proceedings of the Intelligent Systems - 10th Brazilian Conference, 2021

SMS Spam Detection Through Skip-gram Embeddings and Shallow Networks.

Gustavo José de Sousa, Daniel Carlos Guimarães Pedronette, João Paulo Papa, Ivan Rizzo Guilherme

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020

Manifold Learning-based Clustering Approach Applied to Anomaly Detection in Surveillance Videos.

Leonardo Tadeu Lopes, Lucas Pascotti Valem, Daniel Carlos Guimarães Pedronette, Ivan Rizzo Guilherme, João Paulo Papa, Marcos Cleison Silva Santana, Danilo Colombo

Proceedings of the 15th International Joint Conference on Computer Vision, 2020

RaDE: A Rank-based Graph Embedding Approach.

Filipe Alves de Fernando, Daniel Carlos Guimarães Pedronette, Gustavo José de Sousa, Lucas Pascotti Valem, Ivan Rizzo Guilherme

Proceedings of the 15th International Joint Conference on Computer Vision, 2020

2018

Unsupervised manifold learning through reciprocal kNN graph and Connected Components for image retrieval tasks.

Daniel Carlos Guimarães Pedronette, Filipe Marcel Fernandes Gonçalves, Ivan Rizzo Guilherme

Pattern Recognit., 2018

Semantic Guided Interactive Image Retrieval for plant identification.

Filipe Marcel Fernandes Gonçalves, Ivan Rizzo Guilherme, Daniel Carlos Guimarães Pedronette

Expert Syst. Appl., 2018

A Multi-agent System Approach for Management of Industrial IoT Devices in Manufacturing Processes.

Renato L. Cagnin, Ivan Rizzo Guilherme, Jonas F. P. Queiroz, Bruno Paulo, Marcilio F. O. Neto

Proceedings of the 16th IEEE International Conference on Industrial Informatics, 2018

Manifold Correlation Graph for Semi-Supervised Learning.

Lucas Pascotti Valem, Daniel Carlos Guimarães Pedronette, Fabricio Aparecido Breve, Ivan Rizzo Guilherme

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Pattern Analysis in Drilling Reports using Optimum-Path Forest.

Gustavo José de Sousa, Daniel Carlos Guimarães Pedronette, Alexandro Baldassin, Pedro Ivo Monteiro Privatto, M. Gaseta, Ivan Rizzo Guilherme, Danilo Colombo, Luis Claudio Sugi Afonso, João P. Papa

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

2011

Petroleum well drilling monitoring through cutting image analysis and artificial intelligence techniques.

Ivan Rizzo Guilherme, Aparecido Nilceu Marana, João Paulo Papa, Giovani Chiachia, Luis Claudio Sugi Afonso, Kazuo Miura, Marcus V. D. Ferreira, Francisco Torres

Eng. Appl. Artif. Intell., 2011

FTMOntology: An Ontology to Fill the Semantic Gap between Music, Mood, Personality, and Human Physiology.

Caio Miguel Marques, João Von Zuben, Ivan Rizzo Guilherme

Proceedings of the On the Move to Meaningful Internet Systems: OTM 2011 Workshops, 2011

New Trends in Musical Genre Classification Using Optimum-Path Forest.

Caio Miguel Marques, Ivan Rizzo Guilherme, Rodrigo Y. M. Nakamura, João P. Papa

Proceedings of the 12th International Society for Music Information Retrieval Conference, 2011

A Multi-agent Architecture for Intelligent Data Analysis.

Jonas F. P. Queiroz, Ivan Rizzo Guilherme, Caio Cesar Batista

Proceedings of the ICINCO 2011 - Proceedings of the 8th International Conference on Informatics in Control, Automation and Robotics, Volume 1, Noordwijkerhout, The Netherlands, 28, 2011

2010

Fast Petroleum Well Drilling Monitoring Through Optimum-Path Forest.

Ivan Rizzo Guilherme, Aparecido Nilceu Marana, João P. Papa, Giovani Chiachia, Alexandre X. Falcão, Kazuo Miura, Marcus V. D. Ferreira, Francisco Torres

J. Next Gener. Inf. Technol., 2010

Swarm Control Designs Applied to a Micro-Electro-Mechanical Gyroscope System (MEMS).

Fabio Roberto Chavarette, José Manoel Balthazar, Ivan Rizzo Guilherme, Orlando Saraiva do Nascimento

Proceedings of the Trends in Applied Intelligent Systems, 2010

2008

A Multiagent Architecture for Supervisory and Control System.

Ivan Rizzo Guilherme, Rafael Pedrosanto, Alex F. Teixeira, Celso Kazuyuki Morooka, Carles Sierra

Proceedings of the 2008 International Conferences on Computational Intelligence for Modelling, 2008

Swarm Control Designs Applied to a Mechanical Oscillator.

Fabio Roberto Chavarette, Ivan Rizzo Guilherme

Proceedings of the 2008 International Conferences on Computational Intelligence for Modelling, 2008

2006

An Ontology Based for Drilling Report Classification.

Ivan Rizzo Guilherme, Adriane Beatriz de Souza Serapião, Clarice Rabelo, José Ricardo Pelaquim Mendes

Proceedings of the MICAI 2006: Advances in Artificial Intelligence, 2006

Application of arx neural networks to model the rate of penetration of petroleum wells drilling.

Tiago C. da Fonseca, José Ricardo Pelaquim Mendes, Adriane Beatriz de Souza Serapião, Ivan Rizzo Guilherme

Proceedings of the Second IASTED International Conference on Computational Intelligence, 2006

Classification of Petroleum Well Drilling Operations Using Support Vector Machine (SVM).

Adriane Beatriz de Souza Serapião, Rogerio M. Tavares, José Ricardo Pelaquim Mendes, Ivan Rizzo Guilherme

Proceedings of the 2006 International Conference on Computational Intelligence for Modelling Control and Automation (CIMCA 2006), International Conference on Intelligent Agents, Web Technologies and Internet Commerce (IAWTIC 2006), 29 November, 2006

A Genetic Neuro-Model Reference Adaptive Controller for Petroleum Wells Drilling Operations.

Tiago C. da Fonseca, José Ricardo Pelaquim Mendes, Adriane Beatriz de Souza Serapião, Ivan Rizzo Guilherme

Proceedings of the 2006 International Conference on Computational Intelligence for Modelling Control and Automation (CIMCA 2006), International Conference on Intelligent Agents, Web Technologies and Internet Commerce (IAWTIC 2006), 29 November, 2006

2005

Definition of an Offshore Petroleum Production System by Using Fuzzy Sets and Utility Functions.

Tiago C. da Fonseca, José Ricardo Pelaquim Mendes, Celso Kazuyuki Morooka, Ivan Rizzo Guilherme

J. Adv. Comput. Intell. Intell. Informatics, 2005

2003

Processing Technical Daily Reports in Offshore Petroleum Engineering - An Experience.

Kazuo Miura, Ivan Rizzo Guilherme, Celso Kazuyuki Morooka, José Ricardo Pelaquim Mendes

J. Adv. Comput. Intell. Intell. Informatics, 2003

1996

Sistema Jargão: um sistema para analise de base de dados em linguagem natural.

Ivan Rizzo Guilherme

PhD thesis, 1996

1992

A neural net for extracting knowledge from natural language data bases.

A. F. Rocha, Ivan Rizzo Guilherme, M. Theoto, A. M. K. Miyadahira, M. S. Koizumi

IEEE Trans. Neural Networks, 1992