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ORCIDSylvio Barbon Junior
Sylvio Barbon Jr. – Sylvio Barbon
Person information
- affiliation: University of Trieste, Italy
- affiliation (former): Londrina State University, Department of Computer Science, Brazil
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2020 – today
- 2025
[j57]Pâmela De S. Schiaber
, Paulo Rogério Scalassara, Wagner Endo, Cristiano Marcos Agulhari, Leandro R. Altimari, Sylvio Barbon:
Analyzing fatigue in dynamic exercise through electromyography signals and similarity metrics. Biomed. Signal Process. Control. 99: 106864 (2025)- 2024
- [j56]Paolo Ceravolo, Sylvio Barbon Junior, Ernesto Damiani, Wil M. P. van der Aalst:
Tuning Machine Learning to Address Process Mining Requirements. IEEE Access 12: 24583-24595 (2024) - [j55]Ricardo Petri Silva, Sylvio Barbon Junior, Bruno Bogaz Zarpelão, Leonimer Flavio de Melo:
Unsupervised Tuning for Drift Detectors Using Change Detector Segmentation. IEEE Access 12: 54256-54271 (2024) - [j54]Rafael Gomes Mantovani, Tomás Horváth, André L. D. Rossi, Ricardo Cerri, Sylvio Barbon Junior, Joaquin Vanschoren, André C. P. L. F. de Carvalho:
Better trees: an empirical study on hyperparameter tuning of classification decision tree induction algorithms. Data Min. Knowl. Discov. 38(3): 1364-1416 (2024) - [j53]Malina Grigore, Gabriel Marques Tavares, Matheus Camilo da Silva, Paolo Ceravolo, Sylvio Barbon Junior:
Automated Trace Clustering Pipeline Synthesis in Process Mining. Inf. 15(4): 241 (2024) - [c61]Rildo Antonio de Souza, Vitor de Castro-Silva, Sylvio Barbon Junior, Bruno Bogaz Zarpelão:
Forecasting Malware Incident Rates in Higher Education Institutions. AINA (4) 2024: 226-237 - [c60]Sylvio Barbon Junior, Paolo Ceravolo, Sven Groppe, Mustafa Jarrar, Samira Maghool, Florence Sèdes, Soror Sahri, Maurice van Keulen:
Are Large Language Models the New Interface for Data Pipelines? BiDEDE@SIGMOD 2024: 6:1-6:6 - [c59]Rafael Seidi Oyamada, Gabriel Marques Tavares, Sylvio Barbon Junior, Paolo Ceravolo:
CoSMo: A Framework to Instantiate Conditioned Process Simulation Models. BPM 2024: 328-344 - [c58]Rafael Seidi Oyamada, Gabriel Marques Tavares, Sylvio Barbon Junior, Paolo Ceravolo:
Enhancing Predictive Process Monitoring with Time-Related Feature Engineering. CAiSE 2024: 71-86 - [c57]Leonardo Arrighi, Luca Pennella, Gabriel Marques Tavares, Sylvio Barbon Junior:
Decision Predicate Graphs: Enhancing Interpretability in Tree Ensembles. xAI (2) 2024: 311-332 - [i14]Leonardo Arrighi, Luca Pennella, Gabriel Marques Tavares, Sylvio Barbon Junior:
Decision Predicate Graphs: Enhancing Interpretability in Tree Ensembles. CoRR abs/2404.02942 (2024) - [i13]Sylvio Barbon Junior, Paolo Ceravolo, Sven Groppe, Mustafa Jarrar, Samira Maghool, Florence Sèdes, Soror Sahri, Maurice van Keulen:
Are Large Language Models the New Interface for Data Pipelines? CoRR abs/2406.06596 (2024) - [i12]Matheus Camilo da Silva, Gabriel Marques Tavares, Eric Medvet, Sylvio Barbon Junior:
Problem-oriented AutoML in Clustering. CoRR abs/2409.16218 (2024) - 2023
- [j52]Vitor de Castro-Silva, Bruno Bogaz Zarpelão, Eric Medvet, Sylvio Barbon:
Explainable Time Series Tree: An Explainable Top-Down Time Series Segmentation Framework. IEEE Access 11: 120845-120856 (2023) - [j51]Gabriel Marques Tavares, Sylvio Barbon Junior:
Matching business process behavior with encoding techniques via meta-learning: An anomaly detection study. Comput. Sci. Inf. Syst. 20(3): 1207-1233 (2023) - [j50]Gabriel M. Tavares, Rafael Seidi Oyamada, Sylvio Barbon, Paolo Ceravolo:
Trace encoding in process mining: A survey and benchmarking. Eng. Appl. Artif. Intell. 126(Part D): 107028 (2023) - [j49]Avyner Lorran O. Vitor, Alessandro Goedtel, Sylvio Barbon, Gustavo Henrique Bazan, Marcelo Favoretto Castoldi, Wesley Angelino de Souza:
Induction motor short circuit diagnosis and interpretation under voltage unbalance and load variation conditions. Expert Syst. Appl. 224: 119998 (2023) - [j48]Guilherme Yukio Sakurai, Jessica Fernandes Lopes, Bruno Bogaz Zarpelão, Sylvio Barbon Junior:
Benchmarking Change Detector Algorithms from Different Concept Drift Perspectives. Future Internet 15(5): 169 (2023) - [j47]Hugo Queiroz Abonizio, Ana Paula A. C. Barbon, Renne Rodrigues, Mayara Santos, Vicente Martínez-Vizcaíno, Arthur Eumann Mesas, Sylvio Barbon Junior:
How people interact with a chatbot against disinformation and fake news in COVID-19 in Brazil: The CoronaAI case. Int. J. Medical Informatics 177: 105134 (2023) - [j46]Rafael Seidi Oyamada, Larissa Capobianco Shimomura, Sylvio Barbon Jr., Daniel S. Kaster:
A meta-learning configuration framework for graph-based similarity search indexes. Inf. Syst. 112: 102123 (2023) - [j45]Vinicius Eiji Martins, Alberto Cano, Sylvio Barbon Junior:
Meta-learning for dynamic tuning of active learning on stream classification. Pattern Recognit. 138: 109359 (2023) - [j44]Sylvio Barbon, Rodrigo Capobianco Guido, Gabriel Jonas Aguiar, Everton José Santana, Mario Lemes Proença Jr., Hemant A. Patil:
Multiple voice disorders in the same individual: Investigating handcrafted features, multi-label classification algorithms, and base-learners. Speech Commun. 152: 102952 (2023) - [c56]Pâmela De S. Schiaber, Paulo Rogério Scalassara, Wagner Endo, Cristiano M. Agulhari, Leandro R. Altimari, Sylvio Barbon Junior:
Spectral Characteristics Analysis of Electromyography Signals Recorded During Dynamic Contractions. CoDIT 2023: 1653-1658 - [c55]Rafael Seidi Oyamada, Gabriel Marques Tavares, Sylvio Barbon Junior, Paolo Ceravolo:
A Scikit-learn Extension Dedicated to Process Mining Purposes. CoopIS (Demos) 2023: 11-15 - [c54]Leonardo Arrighi, Sylvio Barbon Junior, Felice Andrea Pellegrino, Michele Simonato, Marco Zullich:
Explainable Automated Anomaly Recognition in Failure Analysis: is Deep Learning Doing it Correctly? xAI (2) 2023: 420-432 - [i11]Sylvio Barbon Jr., Paolo Ceravolo, Rafael Seidi Oyamada, Gabriel M. Tavares:
Trace Encoding in Process Mining: a survey and benchmarking. CoRR abs/2301.02167 (2023) - [i10]Paolo Ceravolo, Sylvio Barbon Junior, Ernesto Damiani, Wil M. P. van der Aalst:
Tailoring Machine Learning for Process Mining. CoRR abs/2306.10341 (2023) - 2022
- [j43]Gustavo F. Scaranti, Luiz Fernando Carvalho, Sylvio Barbon Junior, Jaime Lloret, Mario Lemes Proença Jr.:
Unsupervised online anomaly detection in Software Defined Network environments. Expert Syst. Appl. 191: 116225 (2022) - [j42]Gavin Alberghini, Sylvio Barbon Junior, Alberto Cano:
Adaptive ensemble of self-adjusting nearest neighbor subspaces for multi-label drifting data streams. Neurocomputing 481: 228-248 (2022) - [j41]Gabriel Jonas Aguiar, Everton José Santana, André C. P. L. F. de Carvalho, Sylvio Barbon Junior:
Using meta-learning for multi-target regression. Inf. Sci. 584: 665-684 (2022) - [j40]Sylvio Barbon Junior, Allan Pinto, João Vitor Barroso, Fabio Giuliano Caetano, Felipe Arruda Moura, Sergio Augusto Cunha, Ricardo da Silva Torres:
Sport action mining: Dribbling recognition in soccer. Multim. Tools Appl. 81(3): 4341-4364 (2022) - [j39]Jessica Fernandes Lopes, Victor G. Turrisi da Costa, Douglas Fernandes Barbin, Luis Jam Pier Cruz-Tirado, Baeten Vincent, Sylvio Barbon Junior:
Deep computer vision system for cocoa classification. Multim. Tools Appl. 81(28): 41059-41077 (2022) - [j38]Hugo Queiroz Abonizio, Emerson Cabrera Paraiso, Sylvio Barbon:
Toward Text Data Augmentation for Sentiment Analysis. IEEE Trans. Artif. Intell. 3(5): 657-668 (2022) - [j37]Paolo Ceravolo, Gabriel Marques Tavares, Sylvio Barbon Junior, Ernesto Damiani:
Evaluation Goals for Online Process Mining: A Concept Drift Perspective. IEEE Trans. Serv. Comput. 15(4): 2473-2489 (2022) - [c53]Gabriel Marques Tavares, Sylvio Barbon Junior, Ernesto Damiani, Paolo Ceravolo:
Selecting Optimal Trace Clustering Pipelines with Meta-learning. BRACIS (1) 2022: 150-164 - [c52]Gabriel Marques Tavares, Sylvio Barbon Junior, Ernesto Damiani:
Automating Process Discovery Through Meta-learning. CoopIS 2022: 205-222 - [c51]Paolo Ceravolo, Gabriel Marques Tavares, Sylvio Barbon Junior, Ernesto Damiani:
Evaluation Goals for Online Process Mining: a Concept Drift Perspective. SERVICES 2022: 27 - [d1]Gabriel Marques Tavares, Sylvio Barbon Jr., Paolo Ceravolo:
Synthetic Event Streams. IEEE DataPort, 2022
- 2021
- [j36]Everton Jose Santana, Ricardo Petri Silva, Bruno Bogaz Zarpelão, Sylvio Barbon Junior:
Detecting and Mitigating Adversarial Examples in Regression Tasks: A Photovoltaic Power Generation Forecasting Case Study. Inf. 12(10): 394 (2021) - [j35]Ricardo Petri Silva, Bruno Bogaz Zarpelão, Alberto Cano, Sylvio Barbon Junior:
Time Series Segmentation Based on Stationarity Analysis to Improve New Samples Prediction. Sensors 21(21): 7333 (2021) - [c50]Gabriel Marques Tavares, Sylvio Barbon Junior:
Process Mining Encoding via Meta-learning for an Enhanced Anomaly Detection. ADBIS (Short Papers) 2021: 157-168 - [c49]Fernando H. Y. Nakagawa, Sylvio Barbon Junior, Bruno Bogaz Zarpelão:
Attack Detection in Smart Home IoT Networks using CluStream and Page-Hinkley Test. LATINCOM 2021: 1-6 - [c48]Renato Vertuam Neto, Gabriel M. Tavares, Paolo Ceravolo, Sylvio Barbon:
On the use of online clustering for anomaly detection in trace streams. SBSI 2021: 43:1-43:8 - [p1]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:
Advances in Data Management in the Big Data Era. IFIP's Exciting First 60+ Years 2021: 99-126 - [i9]Sylvio Barbon Jr., Paolo Ceravolo, Ernesto Damiani, Gabriel Marques Tavares:
Using Meta-learning to Recommend Process Discovery Methods. CoRR abs/2103.12874 (2021) - [i8]Sylvio Barbon Jr., Paolo Ceravolo, Ernesto Damiani, Gabriel Marques Tavares:
Selecting Optimal Trace Clustering Pipelines with AutoML. CoRR abs/2109.00635 (2021) - 2020
- [j34]Gustavo F. Scaranti, Luiz Fernando Carvalho, Sylvio Barbon, Mario Lemes Proença Jr.:
Artificial Immune Systems and Fuzzy Logic to Detect Flooding Attacks in Software-Defined Networks. IEEE Access 8: 100172-100184 (2020) - [j33]Saulo Martiello Mastelini, Everton Jose Santana, Ricardo Cerri, Sylvio Barbon Jr.:
DSTARS: A multi-target deep structure for tracking asynchronous regressor stacking. Appl. Soft Comput. 91: 106215 (2020) - [j32]Everthon Silva Fonseca, Rodrigo Capobianco Guido, Sylvio Barbon Junior, Henrique Dezani, Rodrigo Rosseto Gati, Denis César Mosconi Pereira:
Acoustic investigation of speech pathologies based on the discriminative paraconsistent machine (DPM). Biomed. Signal Process. Control. 55 (2020) - [j31]Hugo Queiroz Abonizio, Janaína Ignácio de Morais, Gabriel Marques Tavares, Sylvio Barbon Junior:
Language-Independent Fake News Detection: English, Portuguese, and Spanish Mutual Features. Future Internet 12(5): 87 (2020) - [j30]Nicolas Jashchenko Omori, Gabriel Marques Tavares, Paolo Ceravolo, Sylvio Barbon Jr.:
Comparing Concept Drift Detection with Process Mining Software. Braz. J. Inf. Syst. 13(4): 101-125 (2020) - [j29]Janaína Ignácio de Morais, Hugo Queiroz Abonizio, Gabriel Marques Tavares, André Azevedo da Fonseca, Sylvio Barbon Jr.:
A Multi-label Classification System to Distinguish among Fake, Satirical, Objective and Legitimate News in Brazilian Portuguese. Braz. J. Inf. Syst. 13(4): 126-149 (2020) - [j28]Jessica Fernandes Lopes, Everton Jose Santana, Victor G. Turrisi da Costa, Bruno Bogaz Zarpelão, Sylvio Barbon Junior:
Evaluating the Four-Way Performance Trade-Off for Data Stream Classification in Edge Computing. IEEE Trans. Netw. Serv. Manag. 17(2): 1013-1025 (2020) - [c47]Rafael Seidi Oyamada, Larissa Capobianco Shimomura, Sylvio Barbon Junior, Daniel S. Kaster:
Towards Proximity Graph Auto-configuration: An Approach Based on Meta-learning. ADBIS 2020: 93-107 - [c46]Gabriel Marques Tavares, Sylvio Barbon:
Analysis of Language Inspired Trace Representation for Anomaly Detection. ADBIS/TPDL/EDA Workshops 2020: 296-308 - [c45]Vinicius Eiji Martins, Victor G. Turrisi da Costa, Sylvio Barbon Junior:
Active Learning Embedded in Incremental Decision Trees. BRACIS (2) 2020: 367-381 - [c44]Hugo Queiroz Abonizio, Sylvio Barbon Junior:
Pre-trained Data Augmentation for Text Classification. BRACIS 2020: 551-565 - [c43]Everton Jose Santana, Ricardo Petri Silva, Bruno Bogaz Zarpelão, Sylvio Barbon Junior:
Photovoltaic Generation Forecast: Model Training and Adversarial Attack Aspects. BRACIS (2) 2020: 634-649 - [c42]Sylvio Barbon Junior, Paolo Ceravolo, Ernesto Damiani, Gabriel Marques Tavares:
Evaluating Trace Encoding Methods in Process Mining. DataMod@CIKM 2020: 174-189 - [c41]Sylvio Barbon Junior, Paolo Ceravolo, Ernesto Damiani, Nicolas Jashchenko Omori, Gabriel Marques Tavares:
Anomaly Detection on Event Logs with a Scarcity of Labels. ICPM 2020: 161-168 - [i7]Everton Jose Santana, Felipe Rodrigues dos Santos, Saulo Martiello Mastelini, Fabio Luiz Melquiades, Sylvio Barbon Junior:
Improved prediction of soil properties with Multi-target Stacked Generalisation on EDXRF spectra. CoRR abs/2002.04312 (2020) - [i6]Rafael Gomes Mantovani, André Luis Debiaso Rossi, Edesio Alcobaça, Jadson Castro Gertrudes, Sylvio Barbon Junior, André Carlos Ponce de Leon Ferreira de Carvalho:
Rethinking Default Values: a Low Cost and Efficient Strategy to Define Hyperparameters. CoRR abs/2008.00025 (2020)
2010 – 2019
- 2019
- [j27]Gabriel Fillipe Centini Campos, Saulo Martiello Mastelini, Gabriel Jonas Aguiar, Rafael Gomes Mantovani, Leonimer Flavio de Melo, Sylvio Barbon Junior:
Machine learning hyperparameter selection for Contrast Limited Adaptive Histogram Equalization. EURASIP J. Image Video Process. 2019: 59 (2019) - [j26]Victor G. T. da Costa, Sylvio Barbon Junior, Rodrigo Sanches Miani, Joel J. P. C. Rodrigues, Bruno Bogaz Zarpelão:
Mobile botnets detection based on machine learning over system calls. Int. J. Secur. Networks 14(2): 103-118 (2019) - [j25]Everton Jose Santana, João Augusto Provin Ribeiro da Silva, Saulo Martiello Mastelini, Sylvio Barbon Jr.:
Stock Portfolio Prediction by Multi-Target Decision Support. Braz. J. Inf. Syst. 12(1): 5-27 (2019) - [j24]Gabriel Marques Tavares, Victor Guilherme Turrisi da Costa, Vinicius Eiji Martins, Paolo Ceravolo, Sylvio Barbon Jr.:
Leveraging Anomaly Detection in Business Process with Data Stream Mining. Braz. J. Inf. Syst. 12(1): 54-75 (2019) - [j23]Gabriel Jonas Aguiar, Rafael Gomes Mantovani, Saulo Martiello Mastelini, André C. P. L. F. de Carvalho, Gabriel F. C. Campos, Sylvio Barbon Junior:
A meta-learning approach for selecting image segmentation algorithm. Pattern Recognit. Lett. 128: 480-487 (2019) - [j22]Jessica Fernandes Lopes, Leniza Ludwig, Douglas Fernandes Barbin, Maria Victória Eiras Grossmann, Sylvio Barbon Jr.:
Computer Vision Classification of Barley Flour Based on Spatial Pyramid Partition Ensemble. Sensors 19(13): 2953 (2019) - [j21]Vitor Hugo Bezerra, Victor Guilherme Turrisi da Costa, Sylvio Barbon Junior, Rodrigo Sanches Miani, Bruno Bogaz Zarpelão:
IoTDS: A One-Class Classification Approach to Detect Botnets in Internet of Things Devices. Sensors 19(14): 3188 (2019) - [j20]Saulo Martiello Mastelini, Victor Guilherme Turrisi da Costa, Everton Jose Santana, Felipe Kenji Nakano, Rodrigo Capobianco Guido, Ricardo Cerri, Sylvio Barbon Junior:
Multi-Output Tree Chaining: An Interpretative Modelling and Lightweight Multi-Target Approach. J. Signal Process. Syst. 91(2): 191-215 (2019) - [c40]Gabriel Marques Tavares, Paolo Ceravolo, Victor G. Turrisi da Costa, Ernesto Damiani, Sylvio Barbon Junior:
Overlapping Analytic Stages in Online Process Mining. SCC 2019: 167-175 - [c39]Victor Guilherme Turrisi da Costa, Saulo Martiello Mastelini, André Carlos Ponce de Leon Ferreira de Carvalho, Sylvio Barbon:
Online Local Boosting: Improving Performance in Online Decision Trees. BRACIS 2019: 132-137 - [c38]Gabriel Jonas Aguiar, Everton José Santana, Saulo Martiello Mastelini, Rafael Gomes Mantovani, Sylvio Barbon Jr.:
Towards Meta-Learning for Multi-Target Regression Problems. BRACIS 2019: 377-382 - [c37]Victor G. Turrisi da Costa, Everton Jose Santana, Jessica Fernandes Lopes, Sylvio Barbon Jr.:
Evaluating the Four-Way Performance Trade-Off for Stream Classification. GPC 2019: 3-17 - [c36]Bruno Prece, Edson Pacheco, Rodolfo Miranda de Barros, Sylvio Barbon Jr.:
Improvements on diagnostic assessment questionnaires of Maturity Level Management with feature selection. SBSI 2019: 7:1-7:8 - [c35]Janaína Ignácio de Morais, Hugo Queiroz Abonizio, Gabriel Marques Tavares, André Azevedo da Fonseca, Sylvio Barbon Jr.:
Deciding among Fake, Satirical, Objective and Legitimate news: A multi-label classification system. SBSI 2019: 22:1-22:8 - [c34]Nicolas Jashchenko Omori, Gabriel Marques Tavares, Paolo Ceravolo, Sylvio Barbon Jr.:
Comparing Concept Drift Detection with Process Mining Tools. SBSI 2019: 31:1-31:8 - [i5]Saulo Martiello Mastelini, Sylvio Barbon Jr., André Carlos Ponce de Leon Ferreira de Carvalho:
Online Multi-target regression trees with stacked leaf models. CoRR abs/1903.12483 (2019) - [i4]Victor G. Turrisi da Costa, Saulo Martiello Mastelini, André Carlos Ponce de Leon Ferreira de Carvalho, Sylvio Barbon Jr.:
Online Local Boosting: improving performance in online decision trees. CoRR abs/1907.07207 (2019) - [i3]Gabriel Jonas Aguiar, Everton José Santana, Saulo Martiello Mastelini, Rafael Gomes Mantovani, Sylvio Barbon Jr.:
Towards meta-learning for multi-target regression problems. CoRR abs/1907.11277 (2019) - 2018
- [j19]Luiz Fernando Santos Pereira, Sylvio Barbon, Nektarios A. Valous, Douglas Fernandes Barbin:
Predicting the ripening of papaya fruit with digital imaging and random forests. Comput. Electron. Agric. 145: 76-82 (2018) - [j18]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:
Fuzzy approach for classification of pork into quality grades: coping with unclassifiable samples. Comput. Electron. Agric. 150: 455-464 (2018) - [j17]Sean Carlisto de Alvarenga, Sylvio Barbon, Rodrigo Sanches Miani, Michel Cukier, Bruno Bogaz Zarpelão:
Process mining and hierarchical clustering to help intrusion alert visualization. Comput. Secur. 73: 474-491 (2018) - [j16]Alex Marino Gonçalves de Almeida, Ricardo Cerri, Emerson Cabrera Paraiso, Rafael Gomes Mantovani, Sylvio Barbon Junior:
Applying multi-label techniques in emotion identification of short texts. Neurocomputing 320: 35-46 (2018) - [j15]Saulo Martiello Mastelini, Matheus Gustavo Alves Sasso, Gabriel Fillipe Centini Campos, Marcio Schmiele, Maria Teresa Pedrosa Silva Clerici, Douglas Fernandes Barbin, Sylvio Barbon:
Computer vision system for characterization of pasta (noodle) composition. J. Electronic Imaging 27(05): 053021 (2018) - [j14]Victor Guilherme Turrisi da Costa, André Carlos Ponce de Leon Ferreira de Carvalho, Sylvio Barbon Junior:
Strict Very Fast Decision Tree: A memory conservative algorithm for data stream mining. Pattern Recognit. Lett. 116: 22-28 (2018) - [j13]Sylvio Barbon Junior, Gabriel F. C. Campos, Gabriel M. Tavares, Rodrigo Augusto Igawa, Mario Lemes Proença Jr., Rodrigo Capobianco Guido:
Detection of Human, Legitimate Bot, and Malicious Bot in Online Social Networks Based on Wavelets. ACM Trans. Multim. Comput. Commun. Appl. 14(1s): 26:1-26:17 (2018) - [c33]Saulo Martiello Mastelini, Everton Jose Santana, Victor Guilherme Turrisi da Costa, Sylvio Barbon:
Benchmarking Multi-target Regression Methods. BRACIS 2018: 396-401 - [c32]Victor G. Turrisi da Costa, Saulo Martiello Mastelini, André C. P. L. F. de Carvalho, Sylvio Barbon:
Making Data Stream Classification Tree-Based Ensembles Lighter. BRACIS 2018: 480-485 - [c31]Felipe Kenji Nakano, Saulo Martiello Mastelini, Sylvio Barbon, Ricardo Cerri:
Improving Hierarchical Classification of Transposable Elements using Deep Neural Networks. IJCNN 2018: 1-8 - [c30]Sylvio Barbon Junior, Victor G. Turrisi da Costa, Shi-Huang Chen, Rodrigo Capobianco Guido:
U-Healthcare System for Pre-Diagnosis of Parkinson's Disease from Voice Signal. ISM 2018: 271-274 - [c29]Victor G. Turrisi da Costa, Bruno Bogaz Zarpelão, Rodrigo Sanches Miani, Sylvio Barbon Junior:
Online detection of Botnets on Network Flows using Stream Mining. SBRC 2018: 225-238 - [c28]Gabriel Marques Tavares, Victor G. Turrisi da Costa, Vinicius Eiji Martins, Paolo Ceravolo, Sylvio Barbon Junior:
Anomaly Detection in Business Process based on Data Stream Mining. SBSI 2018: 16:1-16:8 - [c27]João Augusto Provin Ribeiro da Silva, Everton Jose Santana, Saulo Martiello Mastelini, Sylvio Barbon Junior:
Stock Portfolio Prediction by Multi-Target Decision Support. SBSI 2018: 34:1-34:8 - [c26]Sylvio Barbon Junior, Gabriel Marques Tavares, Victor G. Turrisi da Costa, Paolo Ceravolo, Ernesto Damiani:
A Framework for Human-in-the-loop Monitoring of Concept-drift Detection in Event Log Stream. WWW (Companion Volume) 2018: 319-326 - [i2]Victor Guilherme Turrisi da Costa, André Carlos Ponce de Leon Ferreira de Carvalho, Sylvio Barbon Junior:
Strict Very Fast Decision Tree: a memory conservative algorithm for data stream mining. CoRR abs/1805.06368 (2018) - [i1]Rafael Gomes Mantovani, Tomás Horváth, Ricardo Cerri, Sylvio Barbon Junior, Joaquin Vanschoren, André Carlos Ponce de Leon Ferreira de Carvalho:
An empirical study on hyperparameter tuning of decision trees. CoRR abs/1812.02207 (2018) - 2017
- [j12]Eduardo H. M. Pena, Luiz Fernando Carvalho, Sylvio Barbon Junior, Joel J. P. C. Rodrigues, Mario Lemes Proença Jr.:
Anomaly detection using the correlational paraconsistent machine with digital signatures of network segment. Inf. Sci. 420: 313-328 (2017) - [j11]Sylvio Barbon Jr., Gabriel Marques Tavares, Guilherme Sakaji Kido:
Artificial and Natural Topic Detection in Online Social Networks. Braz. J. Inf. Syst. 10(1): 80-98 (2017) - [j10]Cláudio Toshio Kawakani, Sylvio Barbon, Rodrigo Sanches Miani, Michel Cukier, Bruno Bogaz Zarpelão:
Discovering Attackers Past Behavior to Generate Online Hyper-Alerts. Braz. J. Inf. Syst. 10(1): 122-147 (2017) - [j9]Sylvio Barbon Junior, Rodrigo Augusto Igawa, Bruno Bogaz Zarpelão:
Authorship verification applied to detection of compromised accounts on online social networks - A continuous approach. Multim. Tools Appl. 76(3): 3213-3233 (2017) - [c25]Paolo Ceravolo, Ernesto Damiani, Mohammadsadegh Torabi, Sylvio Barbon Junior:
Toward a New Generation of Log Pre-processing Methods for Process Mining. BPM (Forum) 2017: 55-70 - [c24]Saulo Martiello Mastelini, Everton Jose Santana, Ricardo Cerri, Sylvio Barbon:
DSTARS: A Multi-target Deep Structure for Tracking Asynchronous Regressor Stack. BRACIS 2017: 19-24 - [c23]Victor G. T. da Costa, Sylvio Barbon, Rodrigo Sanches Miani, Joel J. P. C. Rodrigues, Bruno Bogaz Zarpelão:
Detecting mobile botnets through machine learning and system calls analysis. ICC 2017: 1-6 - [c22]Felipe Kenji Nakano, Saulo Martiello Mastelini, Sylvio Barbon, Ricardo Cerri:
Stacking Methods for Hierarchical Classification. ICMLA 2017: 289-296 - [c21]Everton Jose Santana, Saulo Martiello Mastelini, Sylvio Barbon Jr.:
Deep Regressor Stacking for Air Ticket Prices Prediction. SBSI 2017: 25-31 - [c20]Gabriel M. Tavares, Saulo Martiello Mastelini, Sylvio Barbon Jr.:
User Classification on Online Social Networks by Post Frequency. SBSI 2017: 464-471 - [c19]Sylvio Barbon Junior, Gabriel M. Tavares, Paolo Ceravolo, Ernesto Damiani:
A Framework for Trace Clustering and Concept-drift Detection in Event Streams. SIMPDA 2017: 153-154 - 2016
- [j8]Ana Paula A. C. Barbon, Sylvio Barbon Junior, Rafael Gomes Mantovani, Estefânia Mayumi Fuzyi, Louise Manha Peres, Ana Maria Bridi:
Storage time prediction of pork by Computational Intelligence. Comput. Electron. Agric. 127: 368-375 (2016) - [j7]Luiz Fernando Carvalho, Sylvio Barbon Junior, Leonardo de Souza Mendes, Mario Lemes Proença Jr.:
Unsupervised learning clustering and self-organized agents applied to help network management. Expert Syst. Appl. 54: 29-47 (2016) - [j6]Rodrigo Augusto Igawa, Sylvio Barbon, Katia Cristina Silva Paulo, Guilherme Sakaji Kido, Rodrigo Capobianco Guido, Mario Lemes Proença Jr., Ivan Nunes da Silva:
Account classification in online social networks with LBCA and wavelets. Inf. Sci. 332: 72-83 (2016) - [c18]Alex Marino Gonçalves de Almeida, Sylvio Barbon, Emerson Cabrera Paraiso:
Multi-class Emotions Classification by Sentic Levels as Features in Sentiment Analysis. BRACIS 2016: 486-491 - [c17]Cláudio Toshio Kawakani, Sylvio Barbon Junior, Rodrigo Sanches Miani:
Intrusion Alert Correlation to Support Security Management. SBSI 2016: 313-320 - [c16]Guilherme Sakaji Kido, Rodrigo Augusto Igawa, Sylvio Barbon Junior:
Topic Modeling based on Louvain method in Online Social Networks. SBSI 2016: 353-360 - [c15]Saulo Martiello Mastelini, Matheus C. Silva, Ana Paula A. C. Barbon, Sylvio Barbon Junior:
Marbling Grading Framework Applied on Meat Boutique Environment. SBSI 2016: 542-549 - [c14]Gabriel F. C. Campos, Sylvio Barbon, Rafael Gomes Mantovani:
A Meta-Learning Approach for Recommendation of Image Segmentation Algorithms. SIBGRAPI 2016: 370-377 - 2015
- [j5]Rodrigo Augusto Igawa, Alex Marino Gonçalves de Almeida, Bruno Bogaz Zarpelão, Sylvio Barbon Jr.:
Recognition on Online Social Network by user's writing style. Braz. J. Inf. Syst. 8(3): 64-85 (2015) - [c13]Jose Luis Seixas, Sylvio Barbon, Rafael Gomes Mantovani:
Pattern Recognition of Lower Member Skin Ulcers in Medical Images with Machine Learning Algorithms. CBMS 2015: 50-53 - [c12]Rodrigo Augusto Igawa, Alex Marino Gonçalves de Almeida, Bruno Bogaz Zarpelão, Sylvio Barbon:
Recognition of Compromised Accounts on Twitter. SBSI 2015: 9-14 - [c11]Estefânia Mayumi Fuzyi, Matheus Camilo da Silva, Sylvio Barbon:
Solução M-Health no pré-diagnóstico da Laringe [M-Health Solution on pre-diagnosis of larynx]. SBSI 2015: 501-508 - 2014
- [c10]Rodrigo Augusto Igawa, Guilherme Sakaji Kido, Jose Luis Seixas, Sylvio Barbon:
Adaptive Distribution of Vocabulary Frequencies: A Novel Estimation Suitable for Social Media Corpus. BRACIS 2014: 282-287 - [c9]Eduardo H. M. Pena, Luiz Fernando Carvalho, Sylvio Barbon, Joel J. P. C. Rodrigues, Mario Lemes Proença Jr.:
Correlational paraconsistent machine for anomaly detection. GLOBECOM 2014: 551-556 - [c8]Jose Luis Seixas, Sylvio Barbon, Claudia Martins Siqueira, Ivan Frederico Lupiano Dias, Andre Giovanni Castaldin, Alan Salvany Felinto:
Color energy as a seed descriptor for image segmentation with region growing algorithms on skin wound images. Healthcom 2014: 387-392 - [c7]Eduardo H. M. Pena, Sylvio Barbon, Joel J. P. C. Rodrigues, Mario Lemes Proença Jr.:
Anomaly detection using digital signature of network segment with adaptive ARIMA model and Paraconsistent Logic. ISCC 2014: 1-6 - 2013
- [j4]Rodrigo Capobianco Guido, Sylvio Barbon Junior, Regiane Denise Solgon, Katia Cristina Silva Paulo, Luciene Cavalcanti Rodrigues, Ivan Nunes da Silva, João Paulo Lemos Escola:
Introducing the Discriminative Paraconsistent Machine (DPM). Inf. Sci. 221: 389-402 (2013) - [c6]Luiz Fernando Carvalho, Joel J. P. C. Rodrigues, Sylvio Barbon, Mario Lemes Proença Jr.:
Using Ant Colony Optimization metaheuristic and Dynamic Time Warping for anomaly detection. SoftCOM 2013: 1-5 - 2010
- [c5]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:
On the Determination of Epsilon during Discriminative GMM Training. ISM 2010: 362-364
2000 – 2009
- 2009
- [c4]Sylvio Barbon Junior, Rodrigo Capobianco Guido, Lucimar Sasso Vieira:
A Neural-Network Approach for Speech Features Classification Based on Paraconsistent Logic. ISM 2009: 567-570 - 2008
- [c3]Rodrigo Capobianco Guido, Sylvio Barbon Junior, Lucimar Sasso Vieira, Fabrício Lopes Sanchez, Carlos Dias Maciel, Jose Carlos Pereira, Paulo Rogério Scalassara, Everthon Silva Fonseca:
Introduction to the Discrete Shapelet Transform and a new paradigm: Joint time-frequency-shape analysis. ISCAS 2008: 2893-2896 - [c2]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:
A Fractal-Based Approach for Speech Segmentation. ISM 2008: 551-555 - 2007
- [j3]Rodrigo Capobianco Guido, Lucimar Sasso Vieira, Sylvio Barbon Junior, Fabrício Lopes Sanchez, Carlos Dias Maciel, Everthon Silva Fonseca, Jose Carlos Pereira:
A neural-wavelet architecture for voice conversion. Neurocomputing 71(1-3): 174-180 (2007) - [j2]Rodrigo Capobianco Guido, Sylvio Barbon Junior, Lucimar Sasso Vieira, Fabrício Lopes Sanchez, Carlos Dias Maciel, Paulo Rogério Scalassara, Jose Carlos Pereira, Vitor Muller Puia:
Spoken Document Summarization Based on Dynamic Time Warping and Wavelets. Int. J. Semantic Comput. 1(3): 347-357 (2007) - [j1]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:
Autoregressive decomposition and pole tracking applied to vocal fold nodule signals. Pattern Recognit. Lett. 28(11): 1360-1367 (2007) - 2006
- [c1]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:
A Fractal and Wavelet-Based Approach for Audio Coding. ISM 2006: 253-256
Coauthor Index
André C. P. L. F. de Carvalho
aka: André Carlos Ponce de Leon Ferreira de Carvalho
aka: André Carlos Ponce de Leon Ferreira de Carvalho
Everton Jose Santana
aka: Everton José Santana
aka: Everton José Santana
Gabriel Marques Tavares
aka: Gabriel M. Tavares
aka: Gabriel M. Tavares
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