Ivan Rizzo Guilherme - researchr alias

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Viewing Publication 1 - 29 from 29

2023

A Meta-Feature Model for Exploiting Different Regressors to Estimate Sugarcane Crop YieldLuiz Antonio Falaguasta Barbosa, Daniel Carlos Guimarães Pedronette, Ivan Rizzo Guilherme. igarss 2023: 2030-2033 [doi]

PsyBERTpt: A Clinical Entity Recognition Model for Psychiatric NarrativesLuiz Henrique Pereira Niero, Ivan Rizzo Guilherme, Lucas Emanuel Silva e Oliveira, Gerardo Maria de Araújo Filho. cbms 2023: 672-677 [doi]

2022

2021

SMS Spam Detection Through Skip-gram Embeddings and Shallow NetworksGustavo José de Sousa, Daniel Carlos Guimarães Pedronette, João Paulo Papa, Ivan Rizzo Guilherme. acl 2021: 4193-4201 [doi]

When External Knowledge Does Not Aggregate in Named Entity RecognitionPedro Ivo Monteiro Privatto, Ivan Rizzo Guilherme. bracis 2021: 616-627 [doi]

2020

RaDE: A Rank-based Graph Embedding ApproachFilipe Alves de Fernando, Daniel Carlos Guimarães Pedronette, Gustavo José de Sousa, Lucas Pascotti Valem, Ivan Rizzo Guilherme. visapp 2020: 142-152 [doi]

Manifold Learning-based Clustering Approach Applied to Anomaly Detection in Surveillance VideosLeonardo Tadeu Lopes, Lucas Pascotti Valem, Daniel Carlos Guimarães Pedronette, Ivan Rizzo Guilherme, João Paulo Papa, Marcos Cleison Silva Santana, Danilo Colombo. visapp 2020: 404-412

2018

A Multi-agent System Approach for Management of Industrial IoT Devices in Manufacturing ProcessesRenato L. Cagnin, Ivan Rizzo Guilherme, Jonas F. P. Queiroz, Bruno Paulo, Marcilio F. O. Neto. indin 2018: 31-36 [doi]

Semantic Guided Interactive Image Retrieval for plant identificationFilipe Marcel Fernandes Gonçalves, Ivan Rizzo Guilherme, Daniel Carlos Guimarães Pedronette. eswa, 91:12-26, 2018. [doi]

Unsupervised manifold learning through reciprocal kNN graph and Connected Components for image retrieval tasksDaniel Carlos Guimarães Pedronette, Filipe Marcel Fernandes Gonçalves, Ivan Rizzo Guilherme. PR, 75:161-174, 2018. [doi]

Pattern Analysis in Drilling Reports using Optimum-Path ForestG. J. Sousa, Daniel Carlos Guimarães Pedronette, Alexandro Baldassin, P. I. M. Privatto, M. Gaseta, Ivan Rizzo Guilherme, D. Colombo, Luis Claudio Sugi Afonso, João P. Papa. ijcnn 2018: 1-8 [doi]

Manifold Correlation Graph for Semi-Supervised LearningLucas Pascotti Valem, Daniel Carlos Guimarães Pedronette, Fabricio Aparecido Breve, Ivan Rizzo Guilherme. ijcnn 2018: 1-7 [doi]

2011

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. ieaaie 2010: 308-317 [doi]

Fast Petroleum Well Drilling Monitoring Through Optimum-Path ForestIvan Rizzo Guilherme, Aparecido N. Marana, João P. Papa, Giovani Chiachia, Alexandre X. Falcão, Kazuo Miura, Marcus V. D. Ferreira, Francisco Torres. jnit, 1(1):77-85, 2010. [doi]

2008

Swarm Control Designs Applied to a Mechanical OscillatorFabio Roberto Chavarette, Ivan Rizzo Guilherme. cimca 2008: 756-760 [doi]

A Multiagent Architecture for Supervisory and Control SystemIvan Rizzo Guilherme, Rafael Pedrosanto, Alex F. Teixeira, Celso Kazuyuki Morooka, Carles Sierra. cimca 2008: 98-103 [doi]

2006

Application of arx neural networks to model the rate of penetration of petroleum wells drillingTiago C. da Fonseca, José Ricardo Pelaquim Mendes, Adriane Beatriz de Souza Serapião, Ivan Rizzo Guilherme. iastedCI 2006: 156-161

A Genetic Neuro-Model Reference Adaptive Controller for Petroleum Wells Drilling OperationsTiago C. da Fonseca, José Ricardo Pelaquim Mendes, Adriane Beatriz de Souza Serapião, Ivan Rizzo Guilherme. cimca 2006: 3 [doi]

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. cimca 2006: 145 [doi]

An Ontology Based for Drilling Report ClassificationIvan Rizzo Guilherme, Adriane Beatriz de Souza Serapião, Clarice Rabelo, José Ricardo Pelaquim Mendes. micai 2006: 1037-1046 [doi]

2005

Definition of an Offshore Petroleum Production System by Using Fuzzy Sets and Utility FunctionsTiago C. da Fonseca, José Ricardo Pelaquim Mendes, Celso Kazuyuki Morooka, Ivan Rizzo Guilherme. jaciii, 9(6):684-692, 2005. [doi]

2003

Processing Technical Daily Reports in Offshore Petroleum Engineering - An ExperienceKazuo Miura, Ivan Rizzo Guilherme, Celso Kazuyuki Morooka, José Ricardo Pelaquim Mendes. jaciii, 7(2):223-228, 2003. [doi]

1996

Sistema Jargão: um sistema para analise de base de dados em linguagem naturalIvan Rizzo Guilherme. PhD thesis, University of Campinas, Brazil, 1996. [doi]

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2023

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1996

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