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 (ISM, 2006)

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)

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)

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)

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 (ISCAS, 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; et al. (ISM, 2008)

A Neural-Network Approach for Speech Features Classification Based on Paraconsistent Logic. - Sylvio Barbon Junior; Rodrigo Capobianco Guido; Lucimar Sasso Vieira (ISM, 2009)

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 (ISM, 2010)

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. (SoftCOM, 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)

Adaptive Distribution of Vocabulary Frequencies: A Novel Estimation Suitable for Social Media Corpus. - Rodrigo Augusto Igawa; Guilherme Sakaji Kido; Jose Luis Seixas; Sylvio Barbon (BRACIS, 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. (GLOBECOM, 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 (Healthcom, 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. (ISCC, 2014)

Pattern Recognition of Lower Member Skin Ulcers in Medical Images with Machine Learning Algorithms. - Jose Luis Seixas; Sylvio Barbon; Rafael Gomes Mantovani (CBMS, 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 (SBSI, 2015)

Recognition of Compromised Accounts on Twitter. - Rodrigo Augusto Igawa; Alex Marino Gonçalves de Almeida; Bruno Bogaz Zarpelão; Sylvio Barbon (SBSI, 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)

Multi-class Emotions Classification by Sentic Levels as Features in Sentiment Analysis. - Alex Marino Gonçalves de Almeida; Sylvio Barbon; Emerson Cabrera Paraiso (BRACIS, 2016)

Intrusion Alert Correlation to Support Security Management. - Cláudio Toshio Kawakani; Sylvio Barbon Junior; Rodrigo Sanches Miani (SBSI, 2016)

Topic Modeling based on Louvain method in Online Social Networks. - Guilherme Sakaji Kido; Rodrigo Augusto Igawa; Sylvio Barbon Junior (SBSI, 2016)

Marbling Grading Framework Applied on Meat Boutique Environment. - Saulo Martiello Mastelini; Matheus Camilo da Silva; Ana Paula A. C. Barbon; Sylvio Barbon Junior (SBSI, 2016)

A Meta-Learning Approach for Recommendation of Image Segmentation Algorithms. - Gabriel F. C. Campos; Sylvio Barbon; Rafael Gomes Mantovani (SIBGRAPI, 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)

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)

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)

Toward a New Generation of Log Pre-processing Methods for Process Mining. - Paolo Ceravolo; Ernesto Damiani; Mohammadsadegh Torabi; Sylvio Barbon Junior (BPM (Forum), 2017)

DSTARS: A Multi-target Deep Structure for Tracking Asynchronous Regressor Stack. - Saulo Martiello Mastelini; Everton Jose Santana; Ricardo Cerri; Sylvio Barbon (BRACIS, 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 (ICC, 2017)

Stacking Methods for Hierarchical Classification. - Felipe Kenji Nakano; Saulo Martiello Mastelini; Sylvio Barbon; Ricardo Cerri (ICMLA, 2017)

Deep Regressor Stacking for Air Ticket Prices Prediction. - Everton Jose Santana; Saulo Martiello Mastelini; Sylvio Barbon Jr. (SBSI, 2017)

User Classification on Online Social Networks by Post Frequency. - Gabriel M. Tavares; Saulo Martiello Mastelini; Sylvio Barbon Jr. (SBSI, 2017)

A Framework for Trace Clustering and Concept-drift Detection in Event Streams. - Sylvio Barbon Junior; Gabriel M. Tavares; Paolo Ceravolo; Ernesto Damiani (SIMPDA, 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)

Artificial and Natural Topic Detection in Online Social Networks. - Sylvio Barbon Jr.; Gabriel Marques Tavares; Guilherme Sakaji Kido (Braz. J. Inf. Syst., 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)

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)

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 (BRACIS, 2018)

Benchmarking Multi-target Regression Methods. - Saulo Martiello Mastelini; Everton Jose Santana; Victor Guilherme Turrisi da Costa; Sylvio Barbon (BRACIS, 2018)

Improving Hierarchical Classification of Transposable Elements using Deep Neural Networks. - Felipe Kenji Nakano; Saulo Martiello Mastelini; Sylvio Barbon; Ricardo Cerri (IJCNN, 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 (ISM, 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 (SBRC, 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 (SBSI, 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 (WWW (Companion Volume), 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)

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)

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)

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)

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)

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)

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)

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)

Overlapping Analytic Stages in Online Process Mining. - Gabriel Marques Tavares; Paolo Ceravolo; Victor G. Turrisi da Costa; Ernesto Damiani; Sylvio Barbon Junior (SCC, 2019)

Towards Meta-Learning for Multi-Target Regression Problems. - Gabriel Jonas Aguiar; Everton José Santana; Saulo Martiello Mastelini; Rafael Gomes Mantovani; Sylvio Barbon Jr. (BRACIS, 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 (BRACIS, 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. (GPC, 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. (SBSI, 2019)

Comparing Concept Drift Detection with Process Mining Tools. - Nicolas Jashchenko Omori; Gabriel Marques Tavares; Paolo Ceravolo; Sylvio Barbon Jr. (SBSI, 2019)

Improvements on diagnostic assessment questionnaires of Maturity Level Management with feature selection. - Bruno Prece; Edson Pacheco; Rodolfo Miranda de Barros; Sylvio Barbon Jr. (SBSI, 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)

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)

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)

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)

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)

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)

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)

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)

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)

Towards Proximity Graph Auto-configuration: An Approach Based on Meta-learning. - Rafael Seidi Oyamada; Larissa Capobianco Shimomura; Sylvio Barbon Junior; Daniel S. Kaster (ADBIS, 2020)

Analysis of Language Inspired Trace Representation for Anomaly Detection. - Gabriel Marques Tavares; Sylvio Barbon (ADBIS/TPDL/EDA Workshops, 2020)

Pre-trained Data Augmentation for Text Classification. - Hugo Queiroz Abonizio; Sylvio Barbon Junior (BRACIS, 2020)

Active Learning Embedded in Incremental Decision Trees. - Vinicius Eiji Martins; Victor G. Turrisi da Costa; Sylvio Barbon Junior (BRACIS (2), 2020)

Photovoltaic Generation Forecast: Model Training and Adversarial Attack Aspects. - Everton Jose Santana; Ricardo Petri Silva; Bruno Bogaz Zarpelão; Sylvio Barbon Junior (BRACIS (2), 2020)

Evaluating Trace Encoding Methods in Process Mining. - Sylvio Barbon Junior; Paolo Ceravolo; Ernesto Damiani; Gabriel Marques Tavares (DataMod@CIKM, 2020)

Anomaly Detection on Event Logs with a Scarcity of Labels. - Sylvio Barbon Junior; Paolo Ceravolo; Ernesto Damiani; Nicolas Jashchenko Omori; Gabriel Marques Tavares (ICPM, 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)

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)

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)

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)

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)

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)

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)

Comparing Concept Drift Detection with Process Mining Software. - Nicolas Jashchenko Omori; Gabriel Marques Tavares; Paolo Ceravolo; Sylvio Barbon Jr. (Braz. J. Inf. Syst., 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)

Process Mining Encoding via Meta-learning for an Enhanced Anomaly Detection. - Gabriel Marques Tavares; Sylvio Barbon Junior (ADBIS (Short Papers), 2021)

Attack Detection in Smart Home IoT Networks using CluStream and Page-Hinkley Test. - Fernando H. Y. Nakagawa; Sylvio Barbon Junior; Bruno Bogaz Zarpelão (LATINCOM, 2021)

On the use of online clustering for anomaly detection in trace streams. - Renato Vertuam Neto; Gabriel M. Tavares; Paolo Ceravolo; Sylvio Barbon (SBSI, 2021)

Using Meta-learning to Recommend Process Discovery Methods. - Sylvio Barbon Jr.; Paolo Ceravolo; Ernesto Damiani; Gabriel Marques Tavares (CoRR, 2021)

Selecting Optimal Trace Clustering Pipelines with AutoML. - Sylvio Barbon Jr.; Paolo Ceravolo; Ernesto Damiani; Gabriel Marques Tavares (CoRR, 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)

Time Series Segmentation Based on Stationarity Analysis to Improve New Samples Prediction. - Ricardo Petri Silva; Bruno Bogaz Zarpelão; Alberto Cano 001; Sylvio Barbon Junior (Sensors, 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 (IFIP's Exciting First 60+ Years, 2021)

Selecting Optimal Trace Clustering Pipelines with Meta-learning. - Gabriel Marques Tavares; Sylvio Barbon Junior; Ernesto Damiani; Paolo Ceravolo (BRACIS (1), 2022)

Automating Process Discovery Through Meta-learning. - Gabriel Marques Tavares; Sylvio Barbon Junior; Ernesto Damiani (CoopIS, 2022)

Unsupervised online anomaly detection in Software Defined Network environments. - Gustavo F. Scaranti; Luiz Fernando Carvalho; Sylvio Barbon Junior; Jaime Lloret 001; Mario Lemes Proença Jr. (Expert Syst. Appl., 2022)

Adaptive ensemble of self-adjusting nearest neighbor subspaces for multi-label drifting data streams. - Gavin Alberghini; Sylvio Barbon Junior; Alberto Cano 001 (Neurocomputing, 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)

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)

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)

Toward Text Data Augmentation for Sentiment Analysis. - Hugo Queiroz Abonizio; Emerson Cabrera Paraiso; Sylvio Barbon (IEEE Trans. Artif. Intell., 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)

Synthetic Event Streams. - Gabriel Marques Tavares; Sylvio Barbon Jr.; Paolo Ceravolo (IEEE DataPort, 2022)

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 (CoDIT, 2023)

A Scikit-learn Extension Dedicated to Process Mining Purposes. - Rafael Seidi Oyamada; Gabriel Marques Tavares; Sylvio Barbon Junior; Paolo Ceravolo (CoopIS (Demos), 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 (xAI (2), 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)

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)

Tailoring Machine Learning for Process Mining. - Paolo Ceravolo; Sylvio Barbon Junior; Ernesto Damiani; Wil M. P. van der Aalst (CoRR, 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)

Benchmarking Change Detector Algorithms from Different Concept Drift Perspectives. - Guilherme Yukio Sakurai; Jessica Fernandes Lopes; Bruno Bogaz Zarpelão; Sylvio Barbon Junior (Future Internet, 2023)

Meta-learning for dynamic tuning of active learning on stream classification. - Vinicius Eiji Martins; Alberto Cano 001; Sylvio Barbon Junior (Pattern Recognit., 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., 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., 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, 2023)

Trace encoding in process mining: A survey and benchmarking. - Gabriel M. Tavares; Rafael Seidi Oyamada; Sylvio Barbon; Paolo Ceravolo (Eng. Appl. Artif. Intell., 2023)

Forecasting Malware Incident Rates in Higher Education Institutions. - Rildo Antonio de Souza; Vitor de Castro-Silva; Sylvio Barbon Junior; Bruno Bogaz Zarpelão (AINA (4), 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 (BiDEDE@SIGMOD, 2024)

CoSMo: A Framework to Instantiate Conditioned Process Simulation Models. - Rafael Seidi Oyamada; Gabriel Marques Tavares; Sylvio Barbon Junior; Paolo Ceravolo (BPM, 2024)

Tuning Hypothesis Creation: Combining Discrete and Continuous Spaces for Zero-Shot Hate Speech Detection. - Lorenzo Puppi Vecchi; Sylvio Barbon Junior; Emerson Cabrera Paraiso (BRACIS (4), 2024)

Enhancing Predictive Process Monitoring with Time-Related Feature Engineering. - Rafael Seidi Oyamada; Gabriel Marques Tavares; Sylvio Barbon Junior; Paolo Ceravolo (CAiSE, 2024)

Beyond Flattening: Detecting Concurrency Anomalies Using K-NN Graph-Based Modeling in Object-Centric Event Logs. - Iuliana Malina Grigore; Gabriel Marques Tavares; Sylvio Barbon Junior (DataMod, 2024)

Decision Predicate Graphs: Enhancing Interpretability in Tree Ensembles. - Leonardo Arrighi; Luca Pennella; Gabriel Marques Tavares; Sylvio Barbon Junior (xAI (2), 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)

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)

Problem-oriented AutoML in Clustering. - Matheus Camilo da Silva; Gabriel Marques Tavares; Eric Medvet; Sylvio Barbon Junior (CoRR, 2024)

Automated Trace Clustering Pipeline Synthesis in Process Mining. - Iuliana Malina Grigore; Gabriel Marques Tavares; Matheus Camilo da Silva; Paolo Ceravolo; Sylvio Barbon Junior (Inf., 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., 2024)

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)

Beyond accuracy: The need for explainable AI in biomedical voice technology. - Rodrigo Capobianco Guido; Sylvio Barbon Junior (Comput. Biol. Medicine, 2025)

Meta-learning approach for variational autoencoder hyperparameter tuning. - Michele Berti; Matheus Camilo da Silva; Sebastiano Saccani; Sylvio Barbon Junior (J. Univers. Comput. Sci., 2025)

Explainable Artificial Intelligence techniques for interpretation of food datasets: a review. - Leonardo Arrighi; Ingrid Alves de Moraes; Marco Zullich; Michele Simonato; Douglas Fernandes Barbin; Sylvio Barbon Junior (CoRR, 2025)

Extending Decision Predicate Graphs for Comprehensive Explanation of Isolation Forest. - Matteo Ceschin; Leonardo Arrighi; Luca Longo; Sylvio Barbon Junior (CoRR, 2025)