Sylvio Barbon Junior

Orcid: 0000-0002-4988-0702

Affiliations:
  • Londrina State University, Department of Computer Science, Brazil


According to our database1, Sylvio Barbon Junior authored at least 119 papers between 2006 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
Automated Trace Clustering Pipeline Synthesis in Process Mining.
Inf., April, 2024

Unsupervised Tuning for Drift Detectors Using Change Detector Segmentation.
IEEE Access, 2024

Tuning Machine Learning to Address Process Mining Requirements.
IEEE Access, 2024

Forecasting Malware Incident Rates in Higher Education Institutions.
Proceedings of the Advanced Information Networking and Applications, 2024

2023
Trace encoding in process mining: A survey and benchmarking.
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.
Int. J. Medical Informatics, September, 2023

Induction motor short circuit diagnosis and interpretation under voltage unbalance and load variation conditions.
Expert Syst. Appl., August, 2023

Multiple voice disorders in the same individual: Investigating handcrafted features, multi-label classification algorithms, and base-learners.
Speech Commun., July, 2023

Meta-learning for dynamic tuning of active learning on stream classification.
Pattern Recognit., June, 2023

Benchmarking Change Detector Algorithms from Different Concept Drift Perspectives.
Future Internet, May, 2023

A meta-learning configuration framework for graph-based similarity search indexes.
Inf. Syst., 2023

Tailoring Machine Learning for Process Mining.
CoRR, 2023

Matching business process behavior with encoding techniques via meta-learning: An anomaly detection study.
Comput. Sci. Inf. Syst., 2023

Explainable Time Series Tree: An Explainable Top-Down Time Series Segmentation Framework.
IEEE Access, 2023

Explainable Automated Anomaly Recognition in Failure Analysis: is Deep Learning Doing it Correctly?
Proceedings of the Explainable Artificial Intelligence, 2023

A Scikit-learn Extension Dedicated to Process Mining Purposes.
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.
Proceedings of the 9th International Conference on Control, 2023

2022
Synthetic Event Streams.
Dataset, May, 2022

Evaluation Goals for Online Process Mining: A Concept Drift Perspective.
IEEE Trans. Serv. Comput., 2022

Toward Text Data Augmentation for Sentiment Analysis.
IEEE Trans. Artif. Intell., 2022

Deep computer vision system for cocoa classification.
Multim. Tools Appl., 2022

Sport action mining: Dribbling recognition in soccer.
Multim. Tools Appl., 2022

Using meta-learning for multi-target regression.
Inf. Sci., 2022

Adaptive ensemble of self-adjusting nearest neighbor subspaces for multi-label drifting data streams.
Neurocomputing, 2022

Unsupervised online anomaly detection in Software Defined Network environments.
Expert Syst. Appl., 2022

Automating Process Discovery Through Meta-learning.
Proceedings of the Cooperative Information Systems - 28th International Conference, 2022

Selecting Optimal Trace Clustering Pipelines with Meta-learning.
Proceedings of the Intelligent Systems - 11th Brazilian Conference, 2022

2021
Advances in Data Management in the Big Data Era.
Proceedings of the Advancing Research in Information and Communication Technology, 2021

Time Series Segmentation Based on Stationarity Analysis to Improve New Samples Prediction.
Sensors, 2021

Detecting and Mitigating Adversarial Examples in Regression Tasks: A Photovoltaic Power Generation Forecasting Case Study.
Inf., 2021

Selecting Optimal Trace Clustering Pipelines with AutoML.
CoRR, 2021

Using Meta-learning to Recommend Process Discovery Methods.
CoRR, 2021

On the use of online clustering for anomaly detection in trace streams.
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.
Proceedings of the IEEE Latin-American Conference on Communications, 2021

Process Mining Encoding via Meta-learning for an Enhanced Anomaly Detection.
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.
IEEE Trans. Netw. Serv. Manag., 2020

Comparing Concept Drift Detection with Process Mining Software.
Braz. J. Inf. Syst., 2020

A Multi-label Classification System to Distinguish among Fake, Satirical, Objective and Legitimate News in Brazilian Portuguese.
Braz. J. Inf. Syst., 2020

Language-Independent Fake News Detection: English, Portuguese, and Spanish Mutual Features.
Future Internet, 2020

Rethinking Default Values: a Low Cost and Efficient Strategy to Define Hyperparameters.
CoRR, 2020

Improved prediction of soil properties with Multi-target Stacked Generalisation on EDXRF spectra.
CoRR, 2020

Acoustic investigation of speech pathologies based on the discriminative paraconsistent machine (DPM).
Biomed. Signal Process. Control., 2020

DSTARS: A multi-target deep structure for tracking asynchronous regressor stacking.
Appl. Soft Comput., 2020

Artificial Immune Systems and Fuzzy Logic to Detect Flooding Attacks in Software-Defined Networks.
IEEE Access, 2020

Anomaly Detection on Event Logs with a Scarcity of Labels.
Proceedings of the 2nd International Conference on Process Mining, 2020

Evaluating Trace Encoding Methods in Process Mining.
Proceedings of the From Data to Models and Back - 9th International Symposium, 2020

Photovoltaic Generation Forecast: Model Training and Adversarial Attack Aspects.
Proceedings of the Intelligent Systems - 9th Brazilian Conference, 2020

Active Learning Embedded in Incremental Decision Trees.
Proceedings of the Intelligent Systems - 9th Brazilian Conference, 2020

Pre-trained Data Augmentation for Text Classification.
Proceedings of the Intelligent Systems - 9th Brazilian Conference, 2020

Analysis of Language Inspired Trace Representation for Anomaly Detection.
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.
Proceedings of the Advances in Databases and Information Systems, 2020

2019
Multi-Output Tree Chaining: An Interpretative Modelling and Lightweight Multi-Target Approach.
J. Signal Process. Syst., 2019

Computer Vision Classification of Barley Flour Based on Spatial Pyramid Partition Ensemble.
Sensors, 2019

IoTDS: A One-Class Classification Approach to Detect Botnets in Internet of Things Devices.
Sensors, 2019

A meta-learning approach for selecting image segmentation algorithm.
Pattern Recognit. Lett., 2019

Leveraging Anomaly Detection in Business Process with Data Stream Mining.
Braz. J. Inf. Syst., 2019

Stock Portfolio Prediction by Multi-Target Decision Support.
Braz. J. Inf. Syst., 2019

Mobile botnets detection based on machine learning over system calls.
Int. J. Secur. Networks, 2019

Machine learning hyperparameter selection for Contrast Limited Adaptive Histogram Equalization.
EURASIP J. Image Video Process., 2019

Online Multi-target regression trees with stacked leaf models.
CoRR, 2019

Improvements on diagnostic assessment questionnaires of Maturity Level Management with feature selection.
Proceedings of the XV Brazilian Symposium on Information Systems, 2019

Comparing Concept Drift Detection with Process Mining Tools.
Proceedings of the XV Brazilian Symposium on Information Systems, 2019

Deciding among Fake, Satirical, Objective and Legitimate news: A multi-label classification system.
Proceedings of the XV Brazilian Symposium on Information Systems, 2019

Evaluating the Four-Way Performance Trade-Off for Stream Classification.
Proceedings of the Green, Pervasive, and Cloud Computing - 14th International Conference, 2019

Online Local Boosting: Improving Performance in Online Decision Trees.
Proceedings of the 8th Brazilian Conference on Intelligent Systems, 2019

Towards Meta-Learning for Multi-Target Regression Problems.
Proceedings of the 8th Brazilian Conference on Intelligent Systems, 2019

Overlapping Analytic Stages in Online Process Mining.
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.
ACM Trans. Multim. Comput. Commun. Appl., 2018

Strict Very Fast Decision Tree: A memory conservative algorithm for data stream mining.
Pattern Recognit. Lett., 2018

Computer vision system for characterization of pasta (noodle) composition.
J. Electronic Imaging, 2018

Applying multi-label techniques in emotion identification of short texts.
Neurocomputing, 2018

An empirical study on hyperparameter tuning of decision trees.
CoRR, 2018

Process mining and hierarchical clustering to help intrusion alert visualization.
Comput. Secur., 2018

Fuzzy approach for classification of pork into quality grades: coping with unclassifiable samples.
Comput. Electron. Agric., 2018

Predicting the ripening of papaya fruit with digital imaging and random forests.
Comput. Electron. Agric., 2018

A Framework for Human-in-the-loop Monitoring of Concept-drift Detection in Event Log Stream.
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.
Proceedings of the XIV Brazilian Symposium on Information Systems, 2018

Online detection of Botnets on Network Flows using Stream Mining.
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.
Proceedings of the 2018 IEEE International Symposium on Multimedia, 2018

Improving Hierarchical Classification of Transposable Elements using Deep Neural Networks.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Benchmarking Multi-target Regression Methods.
Proceedings of the 7th Brazilian Conference on Intelligent Systems, 2018

Making Data Stream Classification Tree-Based Ensembles Lighter.
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.
Multim. Tools Appl., 2017

Discovering Attackers Past Behavior to Generate Online Hyper-Alerts.
Braz. J. Inf. Syst., 2017

Artificial and Natural Topic Detection in Online Social Networks.
Braz. J. Inf. Syst., 2017

Anomaly detection using the correlational paraconsistent machine with digital signatures of network segment.
Inf. Sci., 2017

A Framework for Trace Clustering and Concept-drift Detection in Event Streams.
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.
Proceedings of the 13th Brazilian Symposium on Information Systems, 2017

Deep Regressor Stacking for Air Ticket Prices Prediction.
Proceedings of the 13th Brazilian Symposium on Information Systems, 2017

Stacking Methods for Hierarchical Classification.
Proceedings of the 16th IEEE International Conference on Machine Learning and Applications, 2017

Detecting mobile botnets through machine learning and system calls analysis.
Proceedings of the IEEE International Conference on Communications, 2017

DSTARS: A Multi-target Deep Structure for Tracking Asynchronous Regressor Stack.
Proceedings of the 2017 Brazilian Conference on Intelligent Systems, 2017

Toward a New Generation of Log Pre-processing Methods for Process Mining.
Proceedings of the Business Process Management Forum, 2017

2016
Account classification in online social networks with LBCA and wavelets.
Inf. Sci., 2016

Unsupervised learning clustering and self-organized agents applied to help network management.
Expert Syst. Appl., 2016

Storage time prediction of pork by Computational Intelligence.
Comput. Electron. Agric., 2016

A Meta-Learning Approach for Recommendation of Image Segmentation Algorithms.
Proceedings of the 29th SIBGRAPI Conference on Graphics, Patterns and Images, 2016

Marbling Grading Framework Applied on Meat Boutique Environment.
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.
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.
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.
Proceedings of the 5th Brazilian Conference on Intelligent Systems, 2016

2015
Recognition on Online Social Network by user's writing style.
Braz. J. Inf. Syst., 2015

Recognition of Compromised Accounts on Twitter.
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].
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.
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.
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.
Proceedings of the 16th IEEE International Conference on e-Health Networking, 2014

Correlational paraconsistent machine for anomaly detection.
Proceedings of the IEEE Global Communications Conference, 2014

Adaptive Distribution of Vocabulary Frequencies: A Novel Estimation Suitable for Social Media Corpus.
Proceedings of the 2014 Brazilian Conference on Intelligent Systems, 2014

2013
Introducing the Discriminative Paraconsistent Machine (DPM).
Inf. Sci., 2013

Using Ant Colony Optimization metaheuristic and Dynamic Time Warping for anomaly detection.
Proceedings of the 21st International Conference on Software, 2013

2010
On the Determination of Epsilon during Discriminative GMM Training.
Proceedings of the 12th IEEE International Symposium on Multimedia, 2010

2009
A Neural-Network Approach for Speech Features Classification Based on Paraconsistent Logic.
Proceedings of the 11th IEEE International Symposium on Multimedia, 2009

2008

Introduction to the Discrete Shapelet Transform and a new paradigm: Joint time-frequency-shape analysis.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2008), 2008

2007
Autoregressive decomposition and pole tracking applied to vocal fold nodule signals.
Pattern Recognit. Lett., 2007

Spoken Document Summarization Based on Dynamic Time Warping and Wavelets.
Int. J. Semantic Comput., 2007

A neural-wavelet architecture for voice conversion.
Neurocomputing, 2007

2006
A Fractal and Wavelet-Based Approach for Audio Coding.
Proceedings of the Eigth IEEE International Symposium on Multimedia (ISM 2006), 2006


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