Sylvio Barbon Junior

According to our database, Sylvio Barbon Junior authored at least 126 papers between 2006 and 2025.

Collaborative distances:

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

2025

Analyzing fatigue in dynamic exercise through electromyography signals and similarity metrics.

Pâmela De S. Schiaber, Paulo Rogério Scalassara, Wagner Endo, Cristiano Marcos Agulhari, Leandro R. Altimari, Sylvio Barbon

Biomed. Signal Process. Control., 2025

2024

Better trees: an empirical study on hyperparameter tuning of classification decision tree induction algorithms.

Rafael Gomes Mantovani, Tomás Horváth, André L. D. Rossi, Ricardo Cerri, Sylvio Barbon Junior, Joaquin Vanschoren, André C. P. L. F. de Carvalho

Data Min. Knowl. Discov., May, 2024

Automated Trace Clustering Pipeline Synthesis in Process Mining.

Malina Grigore, Gabriel Marques Tavares, Matheus Camilo da Silva, Paolo Ceravolo, Sylvio Barbon Junior

Inf., April, 2024

Problem-oriented AutoML in Clustering.

Matheus Camilo da Silva, Gabriel Marques Tavares, Eric Medvet, Sylvio Barbon Junior

CoRR, 2024

Unsupervised Tuning for Drift Detectors Using Change Detector Segmentation.

Ricardo Petri Silva, Sylvio Barbon Junior, Bruno Bogaz Zarpelão, Leonimer Flavio de Melo

IEEE Access, 2024

Tuning Machine Learning to Address Process Mining Requirements.

Paolo Ceravolo, Sylvio Barbon Junior, Ernesto Damiani, Wil M. P. van der Aalst

IEEE Access, 2024

Decision Predicate Graphs: Enhancing Interpretability in Tree Ensembles.

Leonardo Arrighi, Luca Pennella, Gabriel Marques Tavares, Sylvio Barbon Junior

Proceedings of the Explainable Artificial Intelligence, 2024

Enhancing Predictive Process Monitoring with Time-Related Feature Engineering.

Rafael Seidi Oyamada, Gabriel Marques Tavares, Sylvio Barbon Junior, Paolo Ceravolo

Proceedings of the Advanced Information Systems Engineering, 2024

CoSMo: A Framework to Instantiate Conditioned Process Simulation Models.

Rafael Seidi Oyamada, Gabriel Marques Tavares, Sylvio Barbon Junior, Paolo Ceravolo

Proceedings of the Business Process Management - 22nd International Conference, 2024

Are Large Language Models the New Interface for Data Pipelines?

Sylvio Barbon Junior, Paolo Ceravolo, Sven Groppe, Mustafa Jarrar, Samira Maghool, Florence Sèdes, Soror Sahri, Maurice van Keulen

Proceedings of the International Workshop on Big Data in Emergent Distributed Environments, 2024

Forecasting Malware Incident Rates in Higher Education Institutions.

Rildo Antonio de Souza, Vitor de Castro-Silva, Sylvio Barbon Junior, Bruno Bogaz Zarpelão

Proceedings of the Advanced Information Networking and Applications, 2024

2023

Trace encoding in process mining: A survey and benchmarking.

Gabriel M. Tavares, Rafael Seidi Oyamada, Sylvio Barbon, Paolo Ceravolo

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

How people interact with a chatbot against disinformation and fake news in COVID-19 in Brazil: The CoronaAI case.

Hugo Queiroz Abonizio, Ana Paula A. C. Barbon, Renne Rodrigues, Mayara Santos, Vicente Martínez-Vizcaíno, Arthur Eumann Mesas, Sylvio Barbon Junior

Int. J. Medical Informatics, September, 2023

Induction motor short circuit diagnosis and interpretation under voltage unbalance and load variation conditions.

Avyner Lorran O. Vitor, Alessandro Goedtel, Sylvio Barbon, Gustavo Henrique Bazan, Marcelo Favoretto Castoldi, Wesley Angelino de Souza

Expert Syst. Appl., August, 2023

Multiple voice disorders in the same individual: Investigating handcrafted features, multi-label classification algorithms, and base-learners.

Sylvio Barbon, Rodrigo Capobianco Guido, Gabriel Jonas Aguiar, Everton José Santana, Mario Lemes Proença Jr., Hemant A. Patil

Speech Commun., July, 2023

Meta-learning for dynamic tuning of active learning on stream classification.

Vinicius Eiji Martins, Alberto Cano, Sylvio Barbon Junior

Pattern Recognit., June, 2023

Benchmarking Change Detector Algorithms from Different Concept Drift Perspectives.

Guilherme Yukio Sakurai, Jessica Fernandes Lopes, Bruno Bogaz Zarpelão, Sylvio Barbon Junior

Future Internet, May, 2023

A meta-learning configuration framework for graph-based similarity search indexes.

Rafael Seidi Oyamada, Larissa Capobianco Shimomura, Sylvio Barbon Jr., Daniel S. Kaster

Inf. Syst., 2023

Tailoring Machine Learning for Process Mining.

Paolo Ceravolo, Sylvio Barbon Junior, Ernesto Damiani, Wil M. P. van der Aalst

CoRR, 2023

Matching business process behavior with encoding techniques via meta-learning: An anomaly detection study.

Gabriel Marques Tavares, Sylvio Barbon Junior

Comput. Sci. Inf. Syst., 2023

Explainable Time Series Tree: An Explainable Top-Down Time Series Segmentation Framework.

Vitor de Castro-Silva, Bruno Bogaz Zarpelão, Eric Medvet, Sylvio Barbon

IEEE Access, 2023

Explainable Automated Anomaly Recognition in Failure Analysis: is Deep Learning Doing it Correctly?

Leonardo Arrighi, Sylvio Barbon Junior, Felice Andrea Pellegrino, Michele Simonato, Marco Zullich

Proceedings of the Explainable Artificial Intelligence, 2023

A Scikit-learn Extension Dedicated to Process Mining Purposes.

Rafael Seidi Oyamada, Gabriel Marques Tavares, Sylvio Barbon Junior, Paolo Ceravolo

Proceedings of the Demonstration Track co-located with the International Conference on Cooperative Information Systems 2023, 2023

Spectral Characteristics Analysis of Electromyography Signals Recorded During Dynamic Contractions.

Pâmela De S. Schiaber, Paulo Rogério Scalassara, Wagner Endo, Cristiano M. Agulhari, Leandro R. Altimari, Sylvio Barbon Junior

Proceedings of the 9th International Conference on Control, 2023

2022

Synthetic Event Streams.

Gabriel Marques Tavares, Sylvio Barbon Jr., Paolo Ceravolo

Dataset, May, 2022

Evaluation Goals for Online Process Mining: A Concept Drift Perspective.

Paolo Ceravolo, Gabriel Marques Tavares, Sylvio Barbon Junior, Ernesto Damiani

IEEE Trans. Serv. Comput., 2022

Toward Text Data Augmentation for Sentiment Analysis.

Hugo Queiroz Abonizio, Emerson Cabrera Paraiso, Sylvio Barbon

IEEE Trans. Artif. Intell., 2022

Deep computer vision system for cocoa classification.

Jessica Fernandes Lopes, Victor G. Turrisi da Costa, Douglas Fernandes Barbin, Luis Jam Pier Cruz-Tirado, Baeten Vincent, Sylvio Barbon Junior

Multim. Tools Appl., 2022

Sport action mining: Dribbling recognition in soccer.

Sylvio Barbon Junior, Allan Pinto, João Vitor Barroso, Fabio Giuliano Caetano, Felipe Arruda Moura, Sergio Augusto Cunha, Ricardo da Silva Torres

Multim. Tools Appl., 2022

Using meta-learning for multi-target regression.

Gabriel Jonas Aguiar, Everton José Santana, André C. P. L. F. de Carvalho, Sylvio Barbon Junior

Inf. Sci., 2022

Adaptive ensemble of self-adjusting nearest neighbor subspaces for multi-label drifting data streams.

Gavin Alberghini, Sylvio Barbon Junior, Alberto Cano

Neurocomputing, 2022

Unsupervised online anomaly detection in Software Defined Network environments.

Gustavo F. Scaranti, Luiz Fernando Carvalho, Sylvio Barbon Junior, Jaime Lloret, Mario Lemes Proença Jr.

Expert Syst. Appl., 2022

Automating Process Discovery Through Meta-learning.

Gabriel Marques Tavares, Sylvio Barbon Junior, Ernesto Damiani

Proceedings of the Cooperative Information Systems - 28th International Conference, 2022

Selecting Optimal Trace Clustering Pipelines with Meta-learning.

Gabriel Marques Tavares, Sylvio Barbon Junior, Ernesto Damiani, Paolo Ceravolo

Proceedings of the Intelligent Systems - 11th Brazilian Conference, 2022

2021

Advances in Data Management in the Big Data Era.

Antonia Azzini, Sylvio Barbon Jr., Valerio Bellandi, Tiziana Catarci, Paolo Ceravolo, Philippe Cudré-Mauroux, Samira Maghool, Jaroslav Pokorný, Monica Scannapieco, Florence Sèdes, Gabriel Marques Tavares, Robert Wrembel

Proceedings of the Advancing Research in Information and Communication Technology, 2021

Time Series Segmentation Based on Stationarity Analysis to Improve New Samples Prediction.

Ricardo Petri Silva, Bruno Bogaz Zarpelão, Alberto Cano, Sylvio Barbon Junior

Sensors, 2021

Detecting and Mitigating Adversarial Examples in Regression Tasks: A Photovoltaic Power Generation Forecasting Case Study.

Everton Jose Santana, Ricardo Petri Silva, Bruno Bogaz Zarpelão, Sylvio Barbon Junior

Inf., 2021

Selecting Optimal Trace Clustering Pipelines with AutoML.

Sylvio Barbon Jr., Paolo Ceravolo, Ernesto Damiani, Gabriel Marques Tavares

CoRR, 2021

Using Meta-learning to Recommend Process Discovery Methods.

Sylvio Barbon Jr., Paolo Ceravolo, Ernesto Damiani, Gabriel Marques Tavares

CoRR, 2021

On the use of online clustering for anomaly detection in trace streams.

Renato Vertuam Neto, Gabriel M. Tavares, Paolo Ceravolo, Sylvio Barbon

Proceedings of the SBSI 2021: XVII Brazilian Symposium on Information Systems, Uberlândia, Brazil, June 7, 2021

Attack Detection in Smart Home IoT Networks using CluStream and Page-Hinkley Test.

Fernando H. Y. Nakagawa, Sylvio Barbon Junior, Bruno Bogaz Zarpelão

Proceedings of the IEEE Latin-American Conference on Communications, 2021

Process Mining Encoding via Meta-learning for an Enhanced Anomaly Detection.

Gabriel Marques Tavares, Sylvio Barbon Junior

Proceedings of the New Trends in Database and Information Systems, 2021

2020

Evaluating the Four-Way Performance Trade-Off for Data Stream Classification in Edge Computing.

Jessica Fernandes Lopes, Everton Jose Santana, Victor G. Turrisi da Costa, Bruno Bogaz Zarpelão, Sylvio Barbon Junior

IEEE Trans. Netw. Serv. Manag., 2020

Comparing Concept Drift Detection with Process Mining Software.

Nicolas Jashchenko Omori, Gabriel Marques Tavares, Paolo Ceravolo, Sylvio Barbon Jr.

Braz. J. Inf. Syst., 2020

A Multi-label Classification System to Distinguish among Fake, Satirical, Objective and Legitimate News in Brazilian Portuguese.

Janaína Ignácio de Morais, Hugo Queiroz Abonizio, Gabriel Marques Tavares, André Azevedo da Fonseca, Sylvio Barbon Jr.

Braz. J. Inf. Syst., 2020

Language-Independent Fake News Detection: English, Portuguese, and Spanish Mutual Features.

Hugo Queiroz Abonizio, Janaína Ignácio de Morais, Gabriel Marques Tavares, Sylvio Barbon Junior

Future Internet, 2020

Rethinking Default Values: a Low Cost and Efficient Strategy to Define Hyperparameters.

Rafael Gomes Mantovani, André Luis Debiaso Rossi, Edesio Alcobaça, Jadson Castro Gertrudes, Sylvio Barbon Junior, André Carlos Ponce de Leon Ferreira de Carvalho

CoRR, 2020

Improved prediction of soil properties with Multi-target Stacked Generalisation on EDXRF spectra.

Everton Jose Santana, Felipe Rodrigues dos Santos, Saulo Martiello Mastelini, Fabio Luiz Melquiades, Sylvio Barbon Junior

CoRR, 2020

Acoustic investigation of speech pathologies based on the discriminative paraconsistent machine (DPM).

Everthon Silva Fonseca, Rodrigo Capobianco Guido, Sylvio Barbon Junior, Henrique Dezani, Rodrigo Rosseto Gati, Denis César Mosconi Pereira

Biomed. Signal Process. Control., 2020

DSTARS: A multi-target deep structure for tracking asynchronous regressor stacking.

Saulo Martiello Mastelini, Everton Jose Santana, Ricardo Cerri, Sylvio Barbon Jr.

Appl. Soft Comput., 2020

Artificial Immune Systems and Fuzzy Logic to Detect Flooding Attacks in Software-Defined Networks.

Gustavo F. Scaranti, Luiz Fernando Carvalho, Sylvio Barbon, Mario Lemes Proença Jr.

IEEE Access, 2020

Anomaly Detection on Event Logs with a Scarcity of Labels.

Sylvio Barbon Junior, Paolo Ceravolo, Ernesto Damiani, Nicolas Jashchenko Omori, Gabriel Marques Tavares

Proceedings of the 2nd International Conference on Process Mining, 2020

Evaluating Trace Encoding Methods in Process Mining.

Sylvio Barbon Junior, Paolo Ceravolo, Ernesto Damiani, Gabriel Marques Tavares

Proceedings of the From Data to Models and Back - 9th International Symposium, 2020

Photovoltaic Generation Forecast: Model Training and Adversarial Attack Aspects.

Everton Jose Santana, Ricardo Petri Silva, Bruno Bogaz Zarpelão, Sylvio Barbon Junior

Proceedings of the Intelligent Systems - 9th Brazilian Conference, 2020

Active Learning Embedded in Incremental Decision Trees.

Vinicius Eiji Martins, Victor G. Turrisi da Costa, Sylvio Barbon Junior

Proceedings of the Intelligent Systems - 9th Brazilian Conference, 2020

Pre-trained Data Augmentation for Text Classification.

Hugo Queiroz Abonizio, Sylvio Barbon Junior

Proceedings of the Intelligent Systems - 9th Brazilian Conference, 2020

Analysis of Language Inspired Trace Representation for Anomaly Detection.

Gabriel Marques Tavares, Sylvio Barbon

Proceedings of the ADBIS, TPDL and EDA 2020 Common Workshops and Doctoral Consortium, 2020

Towards Proximity Graph Auto-configuration: An Approach Based on Meta-learning.

Rafael Seidi Oyamada, Larissa Capobianco Shimomura, Sylvio Barbon Junior, Daniel S. Kaster

Proceedings of the Advances in Databases and Information Systems, 2020

2019

Multi-Output Tree Chaining: An Interpretative Modelling and Lightweight Multi-Target Approach.

Saulo Martiello Mastelini, Victor Guilherme Turrisi da Costa, Everton Jose Santana, Felipe Kenji Nakano, Rodrigo Capobianco Guido, Ricardo Cerri, Sylvio Barbon Junior

J. Signal Process. Syst., 2019

Computer Vision Classification of Barley Flour Based on Spatial Pyramid Partition Ensemble.

Jessica Fernandes Lopes, Leniza Ludwig, Douglas Fernandes Barbin, Maria Victória Eiras Grossmann, Sylvio Barbon Jr.

Sensors, 2019

IoTDS: A One-Class Classification Approach to Detect Botnets in Internet of Things Devices.

Vitor Hugo Bezerra, Victor Guilherme Turrisi da Costa, Sylvio Barbon Junior, Rodrigo Sanches Miani, Bruno Bogaz Zarpelão

Sensors, 2019

A meta-learning approach for selecting image segmentation algorithm.

Gabriel Jonas Aguiar, Rafael Gomes Mantovani, Saulo Martiello Mastelini, André C. P. L. F. de Carvalho, Gabriel F. C. Campos, Sylvio Barbon Junior

Pattern Recognit. Lett., 2019

Leveraging Anomaly Detection in Business Process with Data Stream Mining.

Gabriel Marques Tavares, Victor Guilherme Turrisi da Costa, Vinicius Eiji Martins, Paolo Ceravolo, Sylvio Barbon Jr.

Braz. J. Inf. Syst., 2019

Stock Portfolio Prediction by Multi-Target Decision Support.

Everton Jose Santana, João Augusto Provin Ribeiro da Silva, Saulo Martiello Mastelini, Sylvio Barbon Jr.

Braz. J. Inf. Syst., 2019

Mobile botnets detection based on machine learning over system calls.

Victor G. T. da Costa, Sylvio Barbon Junior, Rodrigo Sanches Miani, Joel J. P. C. Rodrigues, Bruno Bogaz Zarpelão

Int. J. Secur. Networks, 2019

Machine learning hyperparameter selection for Contrast Limited Adaptive Histogram Equalization.

Gabriel Fillipe Centini Campos, Saulo Martiello Mastelini, Gabriel Jonas Aguiar, Rafael Gomes Mantovani, Leonimer Flavio de Melo, Sylvio Barbon Junior

EURASIP J. Image Video Process., 2019

Online Multi-target regression trees with stacked leaf models.

Saulo Martiello Mastelini, Sylvio Barbon Jr., André Carlos Ponce de Leon Ferreira de Carvalho

CoRR, 2019

Improvements on diagnostic assessment questionnaires of Maturity Level Management with feature selection.

Bruno Prece, Edson Pacheco, Rodolfo Miranda de Barros, Sylvio Barbon Jr.

Proceedings of the XV Brazilian Symposium on Information Systems, 2019

Comparing Concept Drift Detection with Process Mining Tools.

Nicolas Jashchenko Omori, Gabriel Marques Tavares, Paolo Ceravolo, Sylvio Barbon Jr.

Proceedings of the XV Brazilian Symposium on Information Systems, 2019

Deciding among Fake, Satirical, Objective and Legitimate news: A multi-label classification system.

Janaína Ignácio de Morais, Hugo Queiroz Abonizio, Gabriel Marques Tavares, André Azevedo da Fonseca, Sylvio Barbon Jr.

Proceedings of the XV Brazilian Symposium on Information Systems, 2019

Evaluating the Four-Way Performance Trade-Off for Stream Classification.

Victor G. Turrisi da Costa, Everton Jose Santana, Jessica Fernandes Lopes, Sylvio Barbon Jr.

Proceedings of the Green, Pervasive, and Cloud Computing - 14th International Conference, 2019

Online Local Boosting: Improving Performance in Online Decision Trees.

Victor Guilherme Turrisi da Costa, Saulo Martiello Mastelini, André Carlos Ponce de Leon Ferreira de Carvalho, Sylvio Barbon

Proceedings of the 8th Brazilian Conference on Intelligent Systems, 2019

Towards Meta-Learning for Multi-Target Regression Problems.

Gabriel Jonas Aguiar, Everton José Santana, Saulo Martiello Mastelini, Rafael Gomes Mantovani, Sylvio Barbon Jr.

Proceedings of the 8th Brazilian Conference on Intelligent Systems, 2019

Overlapping Analytic Stages in Online Process Mining.

Gabriel Marques Tavares, Paolo Ceravolo, Victor G. Turrisi da Costa, Ernesto Damiani, Sylvio Barbon Junior

Proceedings of the 2019 IEEE International Conference on Services Computing, 2019

2018

Detection of Human, Legitimate Bot, and Malicious Bot in Online Social Networks Based on Wavelets.

Sylvio Barbon Junior, Gabriel F. C. Campos, Gabriel M. Tavares, Rodrigo Augusto Igawa, Mario Lemes Proença Jr., Rodrigo Capobianco Guido

ACM Trans. Multim. Comput. Commun. Appl., 2018

Strict Very Fast Decision Tree: A memory conservative algorithm for data stream mining.

Victor Guilherme Turrisi da Costa, André Carlos Ponce de Leon Ferreira de Carvalho, Sylvio Barbon Junior

Pattern Recognit. Lett., 2018

Computer vision system for characterization of pasta (noodle) composition.

Saulo Martiello Mastelini, Matheus Gustavo Alves Sasso, Gabriel Fillipe Centini Campos, Marcio Schmiele, Maria Teresa Pedrosa Silva Clerici, Douglas Fernandes Barbin, Sylvio Barbon

J. Electronic Imaging, 2018

Applying multi-label techniques in emotion identification of short texts.

Alex Marino Gonçalves de Almeida, Ricardo Cerri, Emerson Cabrera Paraiso, Rafael Gomes Mantovani, Sylvio Barbon Junior

Neurocomputing, 2018

An empirical study on hyperparameter tuning of decision trees.

Rafael Gomes Mantovani, Tomás Horváth, Ricardo Cerri, Sylvio Barbon Junior, Joaquin Vanschoren, André Carlos Ponce de Leon Ferreira de Carvalho

CoRR, 2018

Process mining and hierarchical clustering to help intrusion alert visualization.

Sean Carlisto de Alvarenga, Sylvio Barbon, Rodrigo Sanches Miani, Michel Cukier, Bruno Bogaz Zarpelão

Comput. Secur., 2018

Fuzzy approach for classification of pork into quality grades: coping with unclassifiable samples.

Louise Manha Peres, Sylvio Barbon Junior, Estefânia Mayumi Fuzyi, Ana Paula A. C. Barbon, Douglas Fernandes Barbin, Priscila Tiemi Maeda Saito, Nayara Andreo, Ana Maria Bridi

Comput. Electron. Agric., 2018

Predicting the ripening of papaya fruit with digital imaging and random forests.

Luiz Fernando Santos Pereira, Sylvio Barbon, Nektarios A. Valous, Douglas Fernandes Barbin

Comput. Electron. Agric., 2018

A Framework for Human-in-the-loop Monitoring of Concept-drift Detection in Event Log Stream.

Sylvio Barbon Junior, Gabriel Marques Tavares, Victor G. Turrisi da Costa, Paolo Ceravolo, Ernesto Damiani

Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

Anomaly Detection in Business Process based on Data Stream Mining.

Gabriel Marques Tavares, Victor G. Turrisi da Costa, Vinicius Eiji Martins, Paolo Ceravolo, Sylvio Barbon Junior

Proceedings of the XIV Brazilian Symposium on Information Systems, 2018

Online detection of Botnets on Network Flows using Stream Mining.

Victor G. Turrisi da Costa, Bruno Bogaz Zarpelão, Rodrigo Sanches Miani, Sylvio Barbon Junior

Proceedings of the XXXVI Brazilian Symposium on Computer Networks and Distributed Systems, 2018

U-Healthcare System for Pre-Diagnosis of Parkinson's Disease from Voice Signal.

Sylvio Barbon Junior, Victor G. Turrisi da Costa, Shi-Huang Chen, Rodrigo Capobianco Guido

Proceedings of the 2018 IEEE International Symposium on Multimedia, 2018

Improving Hierarchical Classification of Transposable Elements using Deep Neural Networks.

Felipe Kenji Nakano, Saulo Martiello Mastelini, Sylvio Barbon, Ricardo Cerri

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

Benchmarking Multi-target Regression Methods.

Saulo Martiello Mastelini, Everton Jose Santana, Victor Guilherme Turrisi da Costa, Sylvio Barbon

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

Making Data Stream Classification Tree-Based Ensembles Lighter.

Victor G. Turrisi da Costa, Saulo Martiello Mastelini, André C. P. L. F. de Carvalho, Sylvio Barbon

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

2017

Authorship verification applied to detection of compromised accounts on online social networks - A continuous approach.

Sylvio Barbon Junior, Rodrigo Augusto Igawa, Bruno Bogaz Zarpelão

Multim. Tools Appl., 2017

Discovering Attackers Past Behavior to Generate Online Hyper-Alerts.

Cláudio Toshio Kawakani, Sylvio Barbon, Rodrigo Sanches Miani, Michel Cukier, Bruno Bogaz Zarpelão

Braz. J. Inf. Syst., 2017

Artificial and Natural Topic Detection in Online Social Networks.

Sylvio Barbon Jr., Gabriel Marques Tavares, Guilherme Sakaji Kido

Braz. J. Inf. Syst., 2017

Anomaly detection using the correlational paraconsistent machine with digital signatures of network segment.

Eduardo H. M. Pena, Luiz Fernando Carvalho, Sylvio Barbon Junior, Joel J. P. C. Rodrigues, Mario Lemes Proença Jr.

Inf. Sci., 2017

A Framework for Trace Clustering and Concept-drift Detection in Event Streams.

Sylvio Barbon Junior, Gabriel M. Tavares, Paolo Ceravolo, Ernesto Damiani

Proceedings of the 7th International Symposium on Data-driven Process Discovery and Analysis (SIMPDA 2017), 2017

User Classification on Online Social Networks by Post Frequency.

Gabriel M. Tavares, Saulo Martiello Mastelini, Sylvio Barbon Jr.

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

Deep Regressor Stacking for Air Ticket Prices Prediction.

Everton Jose Santana, Saulo Martiello Mastelini, Sylvio Barbon Jr.

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

Stacking Methods for Hierarchical Classification.

Felipe Kenji Nakano, Saulo Martiello Mastelini, Sylvio Barbon, Ricardo Cerri

Proceedings of the 16th IEEE International Conference on Machine Learning and Applications, 2017

Detecting mobile botnets through machine learning and system calls analysis.

Victor G. T. da Costa, Sylvio Barbon, Rodrigo Sanches Miani, Joel J. P. C. Rodrigues, Bruno Bogaz Zarpelão

Proceedings of the IEEE International Conference on Communications, 2017

DSTARS: A Multi-target Deep Structure for Tracking Asynchronous Regressor Stack.

Saulo Martiello Mastelini, Everton Jose Santana, Ricardo Cerri, Sylvio Barbon

Proceedings of the 2017 Brazilian Conference on Intelligent Systems, 2017

Toward a New Generation of Log Pre-processing Methods for Process Mining.

Paolo Ceravolo, Ernesto Damiani, Mohammadsadegh Torabi, Sylvio Barbon Junior

Proceedings of the Business Process Management Forum, 2017

2016

Account classification in online social networks with LBCA and wavelets.

Rodrigo Augusto Igawa, Sylvio Barbon, Katia Cristina Silva Paulo, Guilherme Sakaji Kido, Rodrigo Capobianco Guido, Mario Lemes Proença Jr., Ivan Nunes da Silva

Inf. Sci., 2016

Unsupervised learning clustering and self-organized agents applied to help network management.

Luiz Fernando Carvalho, Sylvio Barbon Junior, Leonardo de Souza Mendes, Mario Lemes Proença Jr.

Expert Syst. Appl., 2016

Storage time prediction of pork by Computational Intelligence.

Ana Paula A. C. Barbon, Sylvio Barbon Junior, Rafael Gomes Mantovani, Estefânia Mayumi Fuzyi, Louise Manha Peres, Ana Maria Bridi

Comput. Electron. Agric., 2016

A Meta-Learning Approach for Recommendation of Image Segmentation Algorithms.

Gabriel F. C. Campos, Sylvio Barbon, Rafael Gomes Mantovani

Proceedings of the 29th SIBGRAPI Conference on Graphics, Patterns and Images, 2016

Marbling Grading Framework Applied on Meat Boutique Environment.

Saulo Martiello Mastelini, Matheus C. Silva, Ana Paula A. C. Barbon, Sylvio Barbon Junior

Proceedings of the XII Brazilian Symposium on Information Systems on Brazilian Symposium on Information Systems: Information Systems in the Cloud Computing Era, 2016

Topic Modeling based on Louvain method in Online Social Networks.

Guilherme Sakaji Kido, Rodrigo Augusto Igawa, Sylvio Barbon Junior

Proceedings of the XII Brazilian Symposium on Information Systems on Brazilian Symposium on Information Systems: Information Systems in the Cloud Computing Era, 2016

Intrusion Alert Correlation to Support Security Management.

Cláudio Toshio Kawakani, Sylvio Barbon Junior, Rodrigo Sanches Miani

Proceedings of the XII Brazilian Symposium on Information Systems on Brazilian Symposium on Information Systems: Information Systems in the Cloud Computing Era, 2016

Multi-class Emotions Classification by Sentic Levels as Features in Sentiment Analysis.

Alex Marino Gonçalves de Almeida, Sylvio Barbon, Emerson Cabrera Paraiso

Proceedings of the 5th Brazilian Conference on Intelligent Systems, 2016

2015

Recognition on Online Social Network by user's writing style.

Rodrigo Augusto Igawa, Alex Marino Gonçalves de Almeida, Bruno Bogaz Zarpelão, Sylvio Barbon Jr.

Braz. J. Inf. Syst., 2015

Recognition of Compromised Accounts on Twitter.

Rodrigo Augusto Igawa, Alex Marino Gonçalves de Almeida, Bruno Bogaz Zarpelão, Sylvio Barbon

Proceedings of the annual conference on Brazilian Symposium on Information Systems, 2015

Solução M-Health no pré-diagnóstico da Laringe [M-Health Solution on pre-diagnosis of larynx].

Estefânia Mayumi Fuzyi, Matheus Camilo da Silva, Sylvio Barbon

Proceedings of the annual conference on Brazilian Symposium on Information Systems, 2015

Pattern Recognition of Lower Member Skin Ulcers in Medical Images with Machine Learning Algorithms.

Jose Luis Seixas, Sylvio Barbon, Rafael Gomes Mantovani

Proceedings of the 28th IEEE International Symposium on Computer-Based Medical Systems, 2015

2014

Anomaly detection using digital signature of network segment with adaptive ARIMA model and Paraconsistent Logic.

Eduardo H. M. Pena, Sylvio Barbon, Joel J. P. C. Rodrigues, Mario Lemes Proença Jr.

Proceedings of the IEEE Symposium on Computers and Communications, 2014

Color energy as a seed descriptor for image segmentation with region growing algorithms on skin wound images.

Jose Luis Seixas, Sylvio Barbon, Claudia Martins Siqueira, Ivan Frederico Lupiano Dias, Andre Giovanni Castaldin, Alan Salvany Felinto

Proceedings of the 16th IEEE International Conference on e-Health Networking, 2014

Correlational paraconsistent machine for anomaly detection.

Eduardo H. M. Pena, Luiz Fernando Carvalho, Sylvio Barbon, Joel J. P. C. Rodrigues, Mario Lemes Proença Jr.

Proceedings of the IEEE Global Communications Conference, 2014

Adaptive Distribution of Vocabulary Frequencies: A Novel Estimation Suitable for Social Media Corpus.

Rodrigo Augusto Igawa, Guilherme Sakaji Kido, Jose Luis Seixas, Sylvio Barbon

Proceedings of the 2014 Brazilian Conference on Intelligent Systems, 2014

2013

Introducing the Discriminative Paraconsistent Machine (DPM).

Rodrigo Capobianco Guido, Sylvio Barbon Junior, Regiane Denise Solgon, Katia Cristina Silva Paulo, Luciene Cavalcanti Rodrigues, Ivan Nunes da Silva, João Paulo Lemos Escola

Inf. Sci., 2013

Using Ant Colony Optimization metaheuristic and Dynamic Time Warping for anomaly detection.

Luiz Fernando Carvalho, Joel J. P. C. Rodrigues, Sylvio Barbon, Mario Lemes Proença Jr.

Proceedings of the 21st International Conference on Software, 2013

2010

On the Determination of Epsilon during Discriminative GMM Training.

Rodrigo Capobianco Guido, Shi-Huang Chen, Sylvio Barbon Junior, Leonardo Mendes de Souza, Lucimar Sasso Vieira, Luciene Cavalcanti Rodrigues, João Paulo Lemos Escola, Paulo Ricardo Franchi Zulato, Michel Alves Lacerda, Jussara Ribeiro

Proceedings of the 12th IEEE International Symposium on Multimedia, 2010

2009

A Neural-Network Approach for Speech Features Classification Based on Paraconsistent Logic.

Sylvio Barbon Junior, Rodrigo Capobianco Guido, Lucimar Sasso Vieira

Proceedings of the 11th IEEE International Symposium on Multimedia, 2009

2008

A Fractal-Based Approach for Speech Segmentation.

Paulo César Fantinato, Rodrigo Capobianco Guido, Shi-Huang Chen, Bruno Leonardo Silveira Santos, Lucimar Sasso Vieira, Sylvio Barbon Junior, Luciene Cavalcanti Rodrigues, Fabrício Lopes Sanchez, João Paulo Lemos Escola, Leonardo Mendes de Souza, Carlos Dias Maciel, Paulo Rogério Scalassara, Jose Carlos Pereira

Proceedings of the Tenth IEEE International Symposium on Multimedia (ISM2008), 2008

Introduction to the Discrete Shapelet Transform and a new paradigm: Joint time-frequency-shape analysis.

Rodrigo Capobianco Guido, Sylvio Barbon Junior, Lucimar Sasso Vieira, Fabrício Lopes Sanchez, Carlos Dias Maciel, Jose Carlos Pereira, Paulo Rogério Scalassara, Everthon Silva Fonseca

Proceedings of the International Symposium on Circuits and Systems (ISCAS 2008), 2008

2007

Autoregressive decomposition and pole tracking applied to vocal fold nodule signals.

Paulo Rogério Scalassara, Carlos Dias Maciel, Rodrigo Capobianco Guido, Jose Carlos Pereira, Everthon Silva Fonseca, Arlindo Neto Montagnoli, Sylvio Barbon Junior, Lucimar Sasso Vieira, Fabrício Lopes Sanchez

Pattern Recognit. Lett., 2007

Spoken Document Summarization Based on Dynamic Time Warping and Wavelets.

Rodrigo Capobianco Guido, Sylvio Barbon Junior, Lucimar Sasso Vieira, Fabrício Lopes Sanchez, Carlos Dias Maciel, Paulo Rogério Scalassara, Jose Carlos Pereira, Vitor Muller Puia

Int. J. Semantic Comput., 2007

A neural-wavelet architecture for voice conversion.

Rodrigo Capobianco Guido, Lucimar Sasso Vieira, Sylvio Barbon Junior, Fabrício Lopes Sanchez, Carlos Dias Maciel, Everthon Silva Fonseca, Jose Carlos Pereira

Neurocomputing, 2007

2006

A Fractal and Wavelet-Based Approach for Audio Coding.

Rodrigo Capobianco Guido, Lucimar Sasso Vieira, Sylvio Barbon Junior, Fabrício Lopes Sanchez, Marcio Borges Alonso Guilherme, Kim Inocencio Cesar Sergio, Thais Lorasqui Scarpa, Everthon Silva Fonseca, Jose Carlos Pereira, Mauricio Monteiro

Proceedings of the Eigth IEEE International Symposium on Multimedia (ISM 2006), 2006