Publications

Group highlights

(For a list of recent papers below and check updated staff members’ CVs)

Does your style engage? Linguistic styles of influencers and digital consumer engagement on YouTube

As social media influencers have become a global phenomenon, brands are channeling substantial resources into influencer marketing campaigns. Researchers are keenly exploring diverse content factors that wield influence in online social spheres, including linguistic elements. However, uncertainties persist regarding their association with digital consumer engagement. To bridge this knowledge gap, our study takes a comprehensive approach to identify prevalent linguistic styles employed by social media influencers, integrating multiple linguistic variables. We collected data and audio transcripts from over 11,000 videos featuring 151 top YouTube influencers. Native language processing and automated coding were then employed to extract linguistic variables from the videos. Utilizing a data dimensionality reduction technique (t-SNE), we streamlined their complexity and categorized them to unearth patterns in linguistic style within the sample. Consequently, we proposed an original taxonomy comprising seven linguistic styles used by influencers: videos of expert advice, storytelling, intimate experiences, struggle and overcoming, motivation and guidance, coaching and mentoring, and middle-of-the-road videos. Furthermore, our study demonstrates that each linguistic style correlates with varying levels of digital consumer engagement. These findings not only enhance the existing body of knowledge on influencer marketing and social influence but also offer important insights for influencers and marketing practitioners on selecting the most effective linguistic style for content creation to drive consumer engagement.

Munaro, Ana Cristina, Barcelos, Renato Hübner, Maffezzolli, Eliane Cristine Francisco, Rodrigues, João Pedro Santos, and Paraiso, Emerson Cabrera

Computers in Human Behavior, 2024.

Adaptive regularized ensemble for evolving data stream classification

Extracting knowledge from data streams requires fast incremental algorithms that are able to handle unlimited processing and ever-changing data with finite memory. A strategy for this challenge is the use of ensembles owing to their ability to tackle concept drift and achieve highly accurate predictions. However, ensembles often require a lot of computational resources. In this study, we propose a novel ensemble-based classification algorithm for data streams, Adaptive Regularized Ensemble (ARE), with low demand for computational resources. The algorithm combines strategies that contribute to high prediction accuracy using only incorrectly classified instances into the training step, random-sized feature subspace for each ensemble element and classifier selection for final ensemble voting. After an extensive experimental study, ARE exhibited high predictive performance and outperformed state-of-the-art ensembles on data streams for real and synthetic datasets while requiring a low processing time and memory consumption.

PAIM, Aldo M., Enembreck, Fabricio

Pattern Recognition Letters, 2024.

Adaptive learning on hierarchical data streams using window-weighted Gaussian probabilities

The hierarchical data stream classification task addresses challenges in both hierarchical and data stream classification primary areas. In these scenarios, machine learning models must simultaneously deal with class hierarchies and adapt to respond to nonstationary data. Given such a challenging set of traits, existing techniques are deficient, as they perform incremental learning and are slow to adapt to newer data, thus not capturing their dynamics in a timely fashion. In this study, we propose two novel adaptive Gaussian Naive Bayes classifiers tailored to classify hierarchical data streams. The models use window-weighted Gaussian probabilities to consider current and historical data and improve the adaptability of the classifiers, especially for nonstationary data streams. As a result of our research, we introduce a unified protocol for evaluating and comparing hierarchical data stream classifiers and establish a benchmark for the hierarchical data stream classification task encompassing the proposed methods and state-of-the-art classifiers. The results demonstrate that our proposed algorithms achieve better prediction correctness than their state-of-the-art counterparts while responding more swiftly to changes in data distribution.

Tieppo, Eduardo, Nievola, Júlio Cesar, Barddal, Jean Paul

Applied Soft Computing, 2024.

Online Few-Shot Time Series Classification for Aftershock Detection

Seismic monitoring systems sift through seismograms in real-time, searching for target events, such as underground explosions. In this monitoring system, a burst of aftershocks (minor earthquakes occur after a major earthquake over days or even years) can be a source of confounding signals. Such a burst of aftershock signals can overload the human analysts of the monitoring system. To alleviate this burden at the onset of a sequence of events (e.g., aftershocks), a human analyst can label the first few of these events and start an online classifier to filter out subsequent aftershock events. We propose an online few-shot classification model FewSig for time series data for the above use case. The framework of FewSig consists of a selective model to identify the high-confidence positive events which are used for updating the models and a general classifier to label the remaining events. Our specific technique uses a %two-level decision tree selective model based on sliding DTW distance and a general classifier model based on distance metric learning with Neighborhood Component Analysis (NCA). The algorithm demonstrates surprising robustness when tested on univariate datasets from the UEA/UCR archive. Furthermore, we show two real-world earthquake events where the FewSig reduces the human effort in monitoring applications by filtering out the aftershock events.

Sheng Zhong, Vinícius M. A. de Souza, Glenn Eli Baker, Abdullah Mueen

KDD, 2023.

 

Recent publications

This list is sporadically updated according to data available in the DBLP database.

2024

  1. LongKey: Keyphrase Extraction for Long Documents Alves, Jeovane Honório, State, Radu, Almendra Freitas, Cinthia Obladen, and Barddal, Jean Paul In IEEE International Conference on Big Data, BigData 2024, Washington, DC, USA, December 15-18, 2024 2024
  2. Is it Fine to Tune? Evaluating SentenceBERT Fine-tuning for Brazilian Portuguese Text Stream Classification Imai, Bruno Yuiti Leão, Garcia, Cristiano Mesquita, Rocha, Marcio Vinicius, Koerich, Alessandro Lameiras, Souza Britto Jr., Alceu, and Barddal, Jean Paul In IEEE International Conference on Big Data, BigData 2024, Washington, DC, USA, December 15-18, 2024 2024
  3. Tuning Hypothesis Creation: Combining Discrete and Continuous Spaces for Zero-Shot Hate Speech Detection Vecchi, Lorenzo Puppi, Junior, Sylvio Barbon, and Paraiso, Emerson Cabrera In Intelligent Systems - 34th Brazilian Conference, BRACIS 2024, Belém do Pará, Brazil, November 17-21, 2024, Proceedings, Part IV 2024
  4. Fusion of Image Representations for Time Series Classification with Deep Learning Costa, Henrique V., Ribeiro, André G. R., and Souza, Vinı́cius M. A. In Artificial Neural Networks and Machine Learning - ICANN 2024 - 33rd International Conference on Artificial Neural Networks, Lugano, Switzerland, September 17-20, 2024, Proceedings, Part VI 2024
  5. Optimizing Parking Space Classification: Distilling Ensembles into Lightweight Classifiers Alves, Paulo Luza, Hochuli, Andre G., Oliveira, Luiz Eduardo Soares, and Almeida, Paulo R. Lisboa In International Conference on Machine Learning and Applications, ICMLA 2024, Miami, FL, USA, December 18-20, 2024 2024
  6. Fuels Demand Forecasting: Identifying Leading Feature Sets, Prediction Strategy, and Regressors Krause, Jonas, Beiruth, Alexandre C. A., Barddal, Jean Paul, Jr., Alceu S. Britto, and Souza, Vinı́cius M. A. In International Conference on Machine Learning and Applications, ICMLA 2024, Miami, FL, USA, December 18-20, 2024 2024
  7. A Dissimilarity-Based Countermeasure for Detecting Replay Attacks in Speaker Verification Pinto, Maria Eduarda Maciel, Souza Britto Jr., Alceu, and Hochuli, Andre Gustavo In International Conference on Machine Learning and Applications, ICMLA 2024, Miami, FL, USA, December 18-20, 2024 2024
  8. Improving Sampling Methods for Fine-Tuning SentenceBERT in Text Streams Garcia, Cristiano Mesquita, Koerich, Alessandro Lameiras, Souza Britto Junior, Alceu, and Barddal, Jean Paul In Pattern Recognition - 27th International Conference, ICPR 2024, Kolkata, India, December 1-5, 2024, Proceedings, Part XIX 2024
  9. Dynamic Modality and View Selection for Emotion Recognition: An Experimental Study on Missing Modality Evaluation Menon, Luciana Trinkaus, Neduziak, Luiz Carlos Ribeiro, Barddal, Jean Paul, Koerich, Alessandro Lameiras, and Souza Britto Junior, Alceu In Pattern Recognition. ICPR 2024 International Workshops and Challenges - Kolkata, India, December 1, 2024, Proceedings, Part IV 2024
  10. Alleviating Catastrophic Forgetting in Facial Expression Recognition with Emotion-Centered Models R., Israel A. Laurensi, Souza Britto Jr., Alceu, Barddal, Jean Paul, and Koerich, Alessandro Lameiras In Pattern Recognition - 27th International Conference, ICPR 2024, Kolkata, India, December 1-5, 2024, Proceedings, Part IX 2024
  11. Peak Prediction in Time Series: Comparing Approaches for Energy High-Load Prediction Kruger, Rodrigo, Mueen, Abdullah, and Souza, Vinı́cius M. A. In International Joint Conference on Neural Networks, IJCNN 2024, Yokohama, Japan, June 30 - July 5, 2024 2024
  12. Just Change on Change: Adaptive Splitting Time for Decision Trees in Data Stream Classification Assis, Daniel Nowak, Barddal, Jean Paul, and Enembreck, Fabrı́cio In Proceedings of the 39th ACM/SIGAPP Symposium on Applied Computing, SAC 2024, Avila, Spain, April 8-12, 2024 2024
  13. Satellite Imagery-Assisted Link-Budget Analysis Algorithm for Smart Grid Wireless Backhaul Network Planning Souza Carrasco Vieira, Marina Luı́sa, Lara, Marina De, Pellenz, Marcelo Eduardo, Biczkowski, Mauricio, Mochinski, Marcos Alberto, Enembreck, Fabrı́cio, Jamhour, Edgard, and Zambenedetti, Voldi Costa In Proceedings of the 39th ACM/SIGAPP Symposium on Applied Computing, SAC 2024, Avila, Spain, April 8-12, 2024 2024
  14. Toward Enhancing Vehicle Color Recognition in Adverse Conditions: A Dataset and Benchmark Lima, Gabriel E., Laroca, Rayson, Santos, Eduardo, Jr., Eduil Nascimento, and Menotti, David In 37th SIBGRAPI Conference on Graphics, Patterns and Images, SIBGRAPI 2024, Manaus, Brazil, September 30th - October 3rd, 2024 2024
  15. Enhancing License Plate Super-Resolution: A Layout-Aware and Character-Driven Approach Nascimento, Valfride, Laroca, Rayson, Ribeiro, Rafael O., Schwartz, William Robson, and Menotti, David In 37th SIBGRAPI Conference on Graphics, Patterns and Images, SIBGRAPI 2024, Manaus, Brazil, September 30th - October 3rd, 2024 2024
  16. Multi-Feature Aggregation in Diffusion Models for Enhanced Face Super-Resolution Santos, Marcelo, Laroca, Rayson, Ribeiro, Rafael O., Neves, João C., and Menotti, David In 37th SIBGRAPI Conference on Graphics, Patterns and Images, SIBGRAPI 2024, Manaus, Brazil, September 30th - October 3rd, 2024 2024
  17. Identification of Diseases in Greenhouse Tomato Cultivation: A New Dataset and Baseline Results Zimmermann, Grasielli B., Pellenz, Marcelo E., Souza Britto Jr., Alceu, and Costa, Yandre Maldonado In IEEE International Conference on Systems, Man, and Cybernetics, SMC 2024, Kuching, Malaysia, October 6-10, 2024 2024
  18. Adaptive learning on hierarchical data streams using window-weighted Gaussian probabilities Tieppo, Eduardo, Nievola, Júlio César, and Barddal, Jean Paul Appl. Soft Comput. 2024
  19. An industrial edge computing architecture for Local Digital Twin Kondo, Ricardo Eiji, Andrade, Willian Jeferson, Mello Henequim, Clayton, Lazzaretti, André Eugênio, Souza Britto Jr., Alceu, Freitas Rocha Loures, Eduardo, Santos, Eduardo Alves Portela, and Reynoso-Meza, Gilberto Comput. Ind. Eng. 2024
  20. Does your style engage? Linguistic styles of influencers and digital consumer engagement on YouTube Munaro, Ana C., Barcelos, Renato Hübner, Maffezzolli, Eliane C. F., Rodrigues, João Pedro Santos, and Paraiso, Emerson Cabrera Comput. Hum. Behav. 2024
  21. Temporal Analysis of Drifting Hashtags in Textual Data Streams: A Graph-Based Application Garcia, Cristiano Mesquita, Souza Britto Jr., Alceu, and Barddal, Jean Paul CoRR 2024
  22. Methods for Generating Drift in Text Streams Garcia, Cristiano Mesquita, Koerich, Alessandro Lameiras, Souza Britto Jr., Alceu, and Barddal, Jean Paul CoRR 2024
  23. Improving Sampling Methods for Fine-tuning SentenceBERT in Text Streams Garcia, Cristiano Mesquita, Koerich, Alessandro Lameiras, Souza Britto Jr., Alceu, and Barddal, Jean Paul CoRR 2024
  24. Dynamic Modality and View Selection for Multimodal Emotion Recognition with Missing Modalities Menon, Luciana Trinkaus, Neduziak, Luiz Carlos Ribeiro, Barddal, Jean Paul, Koerich, Alessandro Lameiras, and Souza Britto Jr., Alceu CoRR 2024
  25. Music Genre Classification using Large Language Models Meguenani, Mohamed El Amine, Souza Britto Jr., Alceu, and Koerich, Alessandro Lameiras CoRR 2024
  26. Time-Series Mining Approaches for Malaria Vector Prediction On Mid-Infrared Spectroscopy Data Castro, Lucas G. M., Costa, Henrique V., and Souza, Vinı́cius M. A. Data Sci. J. 2024
  27. Temporal analysis of drifting hashtags in textual data streams: A graph-based application Garcia, Cristiano Mesquita, Souza Britto Jr., Alceu, and Barddal, Jean Paul Expert Syst. Appl. 2024
  28. Biclustering-based multi-label classification Schmitke, Luiz Rafael, Paraiso, Emerson Cabrera, and Nievola, Júlio César Knowl. Inf. Syst. 2024
  29. Developing an Intelligent Decision Support System for large-scale smart grid communication network planning Mochinski, Marcos Alberto, Biczkowski, Mauricio, Chueiri, Ivan, Jamhour, Edgard, Zambenedetti, Voldi Costa, Pellenz, Marcelo Eduardo, and Enembreck, Fabrı́cio Knowl. Based Syst. 2024
  30. Tell me what you see: A zero-shot action recognition method based on natural language descriptions Estevam, Valter, Laroca, Rayson, Pedrini, Hélio, and Menotti, David Multim. Tools Appl. 2024
  31. Adaptive regularized ensemble for evolving data stream classification Paim, Aldo Marcelo, and Enembreck, Fabrı́cio Pattern Recognit. Lett. 2024
  32. Random forest kernel for high-dimension low sample size classification Cavalheiro, Lucca Portes, Bernard, Simon, Barddal, Jean Paul, and Heutte, Laurent Stat. Comput. 2024

2023

  1. A Tool for Measuring Energy Consumption in Data Stream Mining Onuki, Eric Kenzo Taniguchi, Malucelli, Andreia, and Barddal, Jean Paul In Intelligent Systems - 12th Brazilian Conference, BRACIS 2023, Belo Horizonte, Brazil, September 25-29, 2023, Proceedings, Part III 2023
  2. CardioBERTpt: Transformer-based Models for Cardiology Language Representation in Portuguese Schneider, Elisa Terumi Rubel, Gumiel, Yohan Bonescki, Souza, João Vitor Andrioli, Cintho, Lilian Mie Mukai, Oliveira, Lucas Emanuel Silva, Sá Rebelo, Marina, Gutierrez, Marco Antonio, Krieger, José Eduardo, Teodoro, Douglas, Moro, Claudia Maria Cabral, and Paraiso, Emerson Cabrera In 36th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2023, L’Aquila, Italy, June 22-24, 2023 2023
  3. Towards a Reliable Hierarchical Android Malware Detection Through Image-based CNN Geremias, Jhonatan, Viegas, Eduardo K., Santin, Altair O., Jr., Alceu S. Britto, and Horchulhack, Pedro In 20th IEEE Consumer Communications & Networking Conference, CCNC 2023, Las Vegas, NV, USA, January 8-11, 2023 2023
  4. Leveraging Model Fusion for Improved License Plate Recognition Laroca, Rayson, Zanlorensi, Luiz Antonio, Estevam, Valter, Minetto, Rodrigo, and Menotti, David In Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications - 26th Iberoamerican Congress, CIARP 2023, Coimbra, Portugal, November 27-30, 2023, Proceedings, Part II 2023
  5. Time Distributed Multiview Representation for Speech Emotion Recognition Mattos, Flávia Letı́cia, Pellenz, Marcelo E., and Jr., Alceu S. Britto In Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications - 26th Iberoamerican Congress, CIARP 2023, Coimbra, Portugal, November 27-30, 2023, Proceedings, Part I 2023
  6. Multimodal Early Fusion of Automotive Sensors based on Autoencoder Network: An anchor-free approach for Vehicle 3D Detection Vriesman, Daniel, Souza Britto Junior, Alceu, Zimmer, Alessandro, and Brandmeier, Thomas In 26th International Conference on Information Fusion, FUSION 2023, Charleston, SC, USA, June 27-30, 2023 2023
  7. Detecting Relevant Information in High- Volume Chat Logs: Keyphrase Extraction for Grooming and Drug Dealing Forensic Analysis Alves, Jeovane Honório, Pedroso, Horácio A. C. G., Venetikides, Rafael Honorio, Köster, Joel E. M., Grochocki, Luiz Rodrigo, Freitas, Cinthia O. A., and Barddal, Jean Paul In International Conference on Machine Learning and Applications, ICMLA 2023, Jacksonville, FL, USA, December 15-17, 2023 2023
  8. Event-driven Sentiment Drift Analysis in Text Streams: An Application in a Soccer Match Garcia, Cristiano Mesquita, Souza Britto Jr., Alceu, and Barddal, Jean Paul In International Conference on Machine Learning and Applications, ICMLA 2023, Jacksonville, FL, USA, December 15-17, 2023 2023
  9. Deep Single Models vs. Ensembles: Insights for a Fast Deployment of Parking Monitoring Systems Hochuli, Andre Gustavo, Barddal, Jean Paul, Palhano, Gillian Cezar, Mendes, Leonardo Matheus, and Almeida, Paulo Ricardo Lisboa In International Conference on Machine Learning and Applications, ICMLA 2023, Jacksonville, FL, USA, December 15-17, 2023 2023
  10. Mass-Based Short Term Selection of Classifiers in Data Streams Assis, Daniel Nowak, Enembreck, Fabrı́cio, and Barddal, Jean Paul In International Joint Conference on Neural Networks, IJCNN 2023, Gold Coast, Australia, June 18-23, 2023 2023
  11. Distance Functions and Normalization Under Stream Scenarios Barboza, Eduardo V. L., Almeida, Paulo R. Lisboa, Souza Britto Jr., Alceu, and Cruz, Rafael M. O. In International Joint Conference on Neural Networks, IJCNN 2023, Gold Coast, Australia, June 18-23, 2023 2023
  12. Do We Train on Test Data? The Impact of Near-Duplicates on License Plate Recognition Laroca, Rayson, Estevam, Valter, Jr., Alceu S. Britto, Minetto, Rodrigo, and Menotti, David In International Joint Conference on Neural Networks, IJCNN 2023, Gold Coast, Australia, June 18-23, 2023 2023
  13. Adaptive Linear Regression for Data Stream Paim, Aldo Marcelo, and Enembreck, Fabrı́cio In International Joint Conference on Neural Networks, IJCNN 2023, Gold Coast, Australia, June 18-23, 2023 2023
  14. Benchmarking Feature Extraction Techniques for Textual Data Stream Classification Thuma, Bruno Siedekum, Vargas, Pedro Silva, Garcia, Cristiano Mesquita, Souza Britto Jr., Alceu, and Barddal, Jean Paul In International Joint Conference on Neural Networks, IJCNN 2023, Gold Coast, Australia, June 18-23, 2023 2023
  15. Multi-Modal Music Mood Classification with Dynamic Classifier Selection Vitório, João G., Souza Britto Junior, Alceu, Costa, Yandre M. G., and Silla, Carlos N. In 30th International Conference on Systems, Signals and Image Processing, IWSSIP 2023, Ohrid, North Macedonia, June 27-29, 2023 2023
  16. Online Few-Shot Time Series Classification for Aftershock Detection Zhong, Sheng, Souza, Vinı́cius M. A., Baker, Glenn Eli, and Mueen, Abdullah In Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2023, Long Beach, CA, USA, August 6-10, 2023 2023
  17. Vehicle Occurrence-Based Parking Space Detection Almeida, Paulo R. Lisboa, Alves, Jeovane Honório, Oliveira, Luiz S., Hochuli, Andre Gustavo, Fröhlich, João V., and Krauel, Rodrigo A. In IEEE International Conference on Systems, Man, and Cybernetics, SMC 2023, Honolulu, Oahu, HI, USA, October 1-4, 2023 2023
  18. A Large Comparison of Normalization Methods on Time Series Lima, Felipe Tomazelli, and Souza, Vinı́cius M. A. Big Data Res. 2023
  19. Super-resolution of license plate images using attention modules and sub-pixel convolution layers Nascimento, Valfride, Laroca, Rayson, A. Lambert, Jorge, Schwartz, William Robson, and Menotti, David Comput. Graph. 2023
  20. DACov: a deeper analysis of data augmentation on the computed tomography segmentation problem Krinski, Bruno A., Ruiz, Daniel Vitor, Laroca, Rayson, and Todt, Eduardo Comput. methods Biomech. Biomed. Eng. Imaging Vis. 2023
  21. DACov: A Deeper Analysis of Data Augmentation on the Computed Tomography Segmentation Problem Krinski, Bruno A., Ruiz, Daniel Vitor, Laroca, Rayson, and Todt, Eduardo CoRR 2023
  22. Advances on Concept Drift Detection in Regression Tasks using Social Networks Theory Barddal, Jean Paul, Gomes, Heitor Murilo, and Enembreck, Fabrı́cio CoRR 2023
  23. Super-Resolution of License Plate Images Using Attention Modules and Sub-Pixel Convolution Layers Nascimento, Valfride, Laroca, Rayson, A. Lambert, Jorge, Schwartz, William Robson, and Menotti, David CoRR 2023
  24. Vehicle Occurrence-based Parking Space Detection Almeida, Paulo R. Lisboa, Alves, Jeovane Honório, Oliveira, Luiz S., Hochuli, Andre Gustavo, Fröhlich, João V., and Krauel, Rodrigo A. CoRR 2023
  25. Random Forest Dissimilarity for High-Dimension Low Sample Size Classification Cavalheiro, Lucca Portes, Bernard, Simon, Barddal, Jean Paul, and Heutte, Laurent CoRR 2023
  26. Detecting Relevant Information in High-Volume Chat Logs: Keyphrase Extraction for Grooming and Drug Dealing Forensic Analysis Alves, Jeovane Honório, Pedroso, Horácio A. C. G., Venetikides, Rafael Honorio, Köster, Joel E. M., Grochocki, Luiz Rodrigo, A. Freitas, Cinthia O., and Barddal, Jean Paul CoRR 2023
  27. Concept Drift Adaptation in Text Stream Mining Settings: A Comprehensive Review Garcia, Cristiano Mesquita, Abilio, Ramon Simoes, Koerich, Alessandro Lameiras, Souza Britto Jr., Alceu, and Barddal, Jean Paul CoRR 2023
  28. An explainable machine learning approach for student dropout prediction Krüger, João Gabriel Corrêa, Souza Britto Jr., Alceu, and Barddal, Jean Paul Expert Syst. Appl. 2023
  29. Incremental specialized and specialized-generalized matrix factorization models based on adaptive learning rate optimizers Viniski, Antônio David, Barddal, Jean Paul, Souza Britto Junior, Alceu, and Campos, Humberto Vinicius Aparecido Neurocomputing 2023
  30. Exploring diversity in data complexity and classifier decision spaces for pool generation Monteiro, Marcos, Souza Britto Junior, Alceu, Barddal, Jean Paul, Oliveira, Luiz S., and Sabourin, Robert Inf. Fusion 2023
  31. Large-margin representation learning for texture classification Matos, Jonathan, Oliveira, Luiz Eduardo Soares, Souza Britto Junior, Alceu, and Koerich, Alessandro Lameiras Pattern Recognit. Lett. 2023

2022

  1. A Machine Learning Approach for School Dropout Prediction in Brazil Krüger, João Gabriel Corrêa, Barddal, Jean Paul, and Souza Britto Jr., Alceu In 30th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2022, Bruges, Belgium, October 5-7, 2022 2022
  2. Univariate Time Series Prediction using Data Stream Mining Algorithms and Temporal Dependence Mochinski, Marcos Alberto, Barddal, Jean Paul, and Enembreck, Fabrı́cio In Proceedings of the 14th International Conference on Agents and Artificial Intelligence, ICAART 2022, Volume 2, Online Streaming, February 3-5, 2022 2022
  3. Image Retrieval and Pattern Spotting on Historical Documents with Binary Descriptors Curi, Zacarias, Nicolas, Stéphane, Tranouez, Pierrick, Souza Britto Jr., Alceu, and Heutte, Laurent In 26th International Conference on Pattern Recognition, ICPR 2022, Montreal, QC, Canada, August 21-25, 2022 2022
  4. TS-DENSE: Time Series Data Augmentation by Subclass Clustering Zanella, Rodrigo H., Castro Coelho, Lucas A., and Souza, Vinı́cius M. A. In 26th International Conference on Pattern Recognition, ICPR 2022, Montreal, QC, Canada, August 21-25, 2022 2022
  5. Evaluation of Self-taught Learning-based Representations for Facial Emotion Recognition Delazeri, Bruna Rossetto, Vera, Leonardo León, Barddal, Jean Paul, Koerich, Alessandro L., and Jr., Alceu S. Britto In International Joint Conference on Neural Networks, IJCNN 2022, Padua, Italy, July 18-23, 2022 2022
  6. Evaluation of Different Annotation Strategies for Deployment of Parking Spaces Classification Systems Hochuli, Andre G., Jr., Alceu S. Britto, Almeida, Paulo R. L., Alves, Williams B. S., and Cagni, Fabio M. C. In International Joint Conference on Neural Networks, IJCNN 2022, Padua, Italy, July 18-23, 2022 2022
  7. Assessing Batch and Online Learning for Delivery in Full and On Time Predictions Lima, Adriano Alves, Batista, Márcie Venâncio, Barddal, Jean Paul, Sanches, Danilo Sipoli, and Oliveira, Luiz Eduardo Soares In International Joint Conference on Neural Networks, IJCNN 2022, Padua, Italy, July 18-23, 2022 2022
  8. Classifying Hierarchical Data Streams using Global Classifiers and Summarization Techniques Tieppo, Eduardo, Barddal, Jean Paul, and Nievola, Júlio César In International Joint Conference on Neural Networks, IJCNN 2022, Padua, Italy, July 18-23, 2022 2022
  9. Transferring multiple text styles using CycleGAN with supervised style latent space Vecchi, Lorenzo Puppi, Maffezzolli, Eliane C. F., and Paraiso, Emerson Cabrera In International Joint Conference on Neural Networks, IJCNN 2022, Padua, Italy, July 18-23, 2022 2022
  10. Towards Multi-view Android Malware Detection Through Image-based Deep Learning Geremias, Jhonatan, Viegas, Eduardo K., Santin, Altair O., Jr., Alceu S. Britto, and Horchulhack, Pedro In 2022 International Wireless Communications and Mobile Computing, IWCMC 2022, Dubrovnik, Croatia, May 30 - June 3, 2022 2022
  11. Septor: Seismic Depth Estimation Using Hierarchical Neural Networks Siddiquee, M. Ashraf, Souza, Vinı́cius M. A., Baker, Glenn Eli, and Mueen, Abdullah In KDD ’22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14 - 18, 2022 2022
  12. A motion-based approach for real-time detection of pornographic content in videos Geremias, Jhonatan, Viegas, Eduardo K., Jr., Alceu S. Britto, and Santin, Altair O. In SAC ’22: The 37th ACM/SIGAPP Symposium on Applied Computing, Virtual Event, April 25 - 29, 2022 2022
  13. Automatic disease vector mosquitoes identification via hierarchical data stream classification Tieppo, Eduardo, Barddal, Jean Paul, and Nievola, Júlio César In SAC ’22: The 37th ACM/SIGAPP Symposium on Applied Computing, Virtual Event, April 25 - 29, 2022 2022
  14. UC3M-PUCPR at SemEval-2022 Task 11: An Ensemble Method of Transformer-based Models for Complex Named Entity Recognition Schneider, Elisa Terumi Rubel, Zavala, Renzo M. Rivera, Martı́nez, Paloma, Moro, Claudia, and Paraiso, Emerson Cabrera In Proceedings of the 16th International Workshop on Semantic Evaluation, SemEval@NAACL 2022, Seattle, Washington, United States, July 14-15, 2022 2022
  15. A First Look at Dataset Bias in License Plate Recognition Laroca, Rayson, Santos, Marcelo, Estevam, Valter, Luz, Eduardo, and Menotti, David In 35th SIBGRAPI Conference on Graphics, Patterns and Images, SIBGRAPI 2022, Natal, Brazil, October 24-27, 2022 2022
  16. Combining Attention Module and Pixel Shuffle for License Plate Super-Resolution Nascimento, Valfride, Laroca, Rayson, A. Lambert, Jorge, Schwartz, William Robson, and Menotti, David In 35th SIBGRAPI Conference on Graphics, Patterns and Images, SIBGRAPI 2022, Natal, Brazil, October 24-27, 2022 2022
  17. Face Super-Resolution Using Stochastic Differential Equations Santos, Marcelo, Laroca, Rayson, Ribeiro, Rafael O., Neves, João, Proença, Hugo, and Menotti, David In 35th SIBGRAPI Conference on Graphics, Patterns and Images, SIBGRAPI 2022, Natal, Brazil, October 24-27, 2022 2022
  18. Predicting Hospitalization from Health Insurance Data Baro, Everton F., Oliveira, Luiz S., and Souza Britto Junior, Alceu In IEEE International Conference on Systems, Man, and Cybernetics, SMC 2022, Prague, Czech Republic, October 9-12, 2022 2022
  19. Pattern Spotting and Image Retrieval in Historical Documents using Deep Hashing S. Dias, Caio, Jr., Alceu S. Britto, Barddal, Jean Paul, Heutte, Laurent, and Koerich, Alessandro L. In IEEE International Conference on Systems, Man, and Cybernetics, SMC 2022, Prague, Czech Republic, October 9-12, 2022 2022
  20. Combining Muti-Layer Features For Plant Species Classification in a Siamese Network Moresco, Matheus, Jr., Alceu S. Britto, Costa, Yandre M. G., Senger, Luciano José, and Hochuli, Andre G. In IEEE International Conference on Systems, Man, and Cybernetics, SMC 2022, Prague, Czech Republic, October 9-12, 2022 2022
  21. Improving Data Stream Classification using Incremental Yeo-Johnson Power Transformation Tieppo, Eduardo, Barddal, Jean Paul, and Nievola, Júlio César In IEEE International Conference on Systems, Man, and Cybernetics, SMC 2022, Prague, Czech Republic, October 9-12, 2022 2022
  22. On the Cross-dataset Generalization in License Plate Recognition Laroca, Rayson, Cardoso, Everton V., Lucio, Diego Rafael, Estevam, Valter, and Menotti, David In Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2022, Volume 5: VISAPP, Online Streaming, February 6-8, 2022 2022
  23. Time Series Prediction via Similarity Search: Exploring Invariances, Distance Measures and Ensemble Functions Parmezan, Antonio Rafael Sabino, Souza, Vinı́cius M. A., and Batista, Gustavo E. A. P. A. IEEE Access 2022
  24. Hierarchical classification of data streams: a systematic literature review Tieppo, Eduardo, Santos, Roger Robson, Barddal, Jean Paul, and Nievola, Júlio César Artif. Intell. Rev. 2022
  25. Ocular recognition databases and competitions: a survey Zanlorensi, Luiz Antonio, Laroca, Rayson, Luz, Eduardo, Jr., Alceu S. Britto, Oliveira, Luiz S., and Menotti, David Artif. Intell. Rev. 2022
  26. Image-based Automatic Dial Meter Reading in Unconstrained Scenarios Salomon, Gabriel, Laroca, Rayson, and Menotti, David CoRR 2022
  27. A Systematic Review on Computer Vision-Based Parking Lot Management Applied on Public Datasets Almeida, Paulo Ricardo Lisboa, Alves, Jeovane Honório, Parpinelli, Rafael Stubs, and Barddal, Jean Paul CoRR 2022
  28. Multiscale Analysis for Improving Texture Classification Ataky, Steve T. M., Saqui, Diego, Matos, Jonathan, Jr., Alceu S. Britto, and Koerich, Alessandro L. CoRR 2022
  29. Large-Margin Representation Learning for Texture Classification Matos, Jonathan, Oliveira, Luiz Eduardo Soares, Souza Britto Junior, Alceu, and Koerich, Alessandro Lameiras CoRR 2022
  30. Evaluating k-NN in the Classification of Data Streams with Concept Drift Barros, Roberto Souto Maior, Carvalho Santos, Silas Garrido Teixeira, and Barddal, Jean Paul CoRR 2022
  31. Temporal Relation Extraction in Clinical Texts: A Systematic Review Gumiel, Yohan Bonescki, Oliveira, Lucas Emanuel Silva, Claveau, Vincent, Grabar, Natalia, Paraiso, Emerson Cabrera, Barra, Claudia Maria Cabral Moro, and Carvalho, Deborah Ribeiro ACM Comput. Surv. 2022
  32. A Survey on Concept Drift in Process Mining Sato, Denise Maria Vecino, Freitas, Sheila Cristiana De, Barddal, Jean Paul, and Scalabrin, Edson Emı́lio ACM Comput. Surv. 2022
  33. Hierarchical classification of pollinating flying insects under changing environments Parmezan, Antonio Rafael Sabino, Souza, Vinı́cius M. A., Seth, Arpita, Zliobaite, Indre, and Batista, Gustavo E. A. P. A. Ecol. Informatics 2022
  34. A systematic review on computer vision-based parking lot management applied on public datasets Almeida, Paulo Ricardo Lisboa, Alves, Jeovane Honório, Parpinelli, Rafael Stubs, and Barddal, Jean Paul Expert Syst. Appl. 2022
  35. Estimating and tuning adaptive action plans for the control of smart interconnected poultry condominiums Klotz, Darlan Felipe, Ribeiro, Richardson, Enembreck, Fabrı́cio, Denardin, Gustavo Weber, Barbosa, Marco A. C., Casanova, Dalcimar, and Teixeira, Marcelo Expert Syst. Appl. 2022
  36. Two-view fine-grained classification of plant species Araújo, Voncarlos M., Jr., Alceu S. Britto, Oliveira, Luiz S., and Koerich, Alessandro L. Neurocomputing 2022
  37. A multimodal approach for multi-label movie genre classification Mangolin, Rafael B., Pereira, Rodolfo Miranda, Jr., Alceu S. Britto, Silla, Carlos N., Feltrim, Valéria Delisandra, Bertolini, Diego, and Costa, Yandre M. G. Multim. Tools Appl. 2022
  38. COVID-19 Detection on Chest X-ray and CT Scan: A Review of the Top-100 Most Cited Papers Costa, Yandre M. G., Junior, Sergio A. Da Silva, Teixeira, Lucas O., Pereira, Rodolfo Miranda, Bertolini, Diego, Jr., Alceu S. Britto, Oliveira, Luiz S., and Cavalcanti, George D. C. Sensors 2022
  39. Towards an Efficient Method for Large-Scale Wi-SUN-Enabled AMI Network Planning Mochinski, Marcos Alberto, Souza Carrasco Vieira, Marina Luı́sa, Biczkowski, Mauricio, Chueiri, Ivan, Jamhour, Edgard, Zambenedetti, Voldi Costa, Pellenz, Marcelo Eduardo, and Enembreck, Fabrı́cio Sensors 2022
  40. Global Semantic Descriptors for Zero-Shot Action Recognition Estevam, Valter, Laroca, Rayson, Pedrini, Hélio, and Menotti, David IEEE Signal Process. Lett. 2022
  41. Toward Text Data Augmentation for Sentiment Analysis Abonizio, Hugo Queiroz, Paraiso, Emerson Cabrera, and Barbon, Sylvio IEEE Trans. Artif. Intell. 2022
  42. Combining Filtering and Cross-Correlation Efficiently for Streaming Time Series Zhong, Sheng, Souza, Vinı́cius M. A., and Mueen, Abdullah ACM Trans. Knowl. Discov. Data 2022

2021

  1. Optimizing Profit by Mitigating Recurrent Churn Labeling Issues: Analysis from the Game Domain Humenhuk, João Felipe, Kummer, Luiz Bernardo Martins, and Paraiso, Emerson Cabrera In Proceedings of the Seventeenth AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, AIIDE 2021, virtual, October 11-15, 2021 2021
  2. Experiments on Portuguese Clinical Question Answering Oliveira, Lucas Emanuel Silva, Schneider, Elisa Terumi Rubel, Gumiel, Yohan Bonescki, Luz, Mayara Aparecida Passaura, Paraiso, Emerson Cabrera, and Moro, Claudia In Intelligent Systems - 10th Brazilian Conference, BRACIS 2021, Virtual Event, November 29 - December 3, 2021, Proceedings, Part II 2021
  3. Classifying Potentially Unbounded Hierarchical Data Streams with Incremental Gaussian Naive Bayes Tieppo, Eduardo, Barddal, Jean Paul, and Nievola, Júlio César In Intelligent Systems - 10th Brazilian Conference, BRACIS 2021, Virtual Event, November 29 - December 3, 2021, Proceedings, Part I 2021
  4. A GPT-2 Language Model for Biomedical Texts in Portuguese Schneider, Elisa Terumi Rubel, Souza, João Vitor Andrioli, Gumiel, Yohan Bonescki, Moro, Claudia M. C., and Paraiso, Emerson Cabrera In 34th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2021, Aveiro, Portugal, June 7-9, 2021 2021
  5. Interactive Process Drift Detection Framework Sato, Denise Maria Vecino, Barddal, Jean Paul, and Scalabrin, Edson Emı́lio In Artificial Intelligence and Soft Computing - 20th International Conference, ICAISC 2021, Virtual Event, June 21-23, 2021, Proceedings, Part II 2021
  6. End-to-End Approach for Recognition of Historical Digit Strings Zhao, Mengqiao, Hochuli, Andre Gustavo, and Cheddad, Abbas In 16th International Conference on Document Analysis and Recognition, ICDAR 2021, Lausanne, Switzerland, September 5-10, 2021, Proceedings, Part III 2021
  7. Multi-way Time Series Join on Multi-length Patterns Mollah, Md. Parvez, Souza, Vinı́cius M. A., and Mueen, Abdullah In IEEE International Conference on Data Mining, ICDM 2021, Auckland, New Zealand, December 7-10, 2021 2021
  8. Towards the Overcome of Performance Pitfalls in Data Stream Mining Tools Cavalheiro, Lucca Portes, Alves, Marco Antonio Zanata, and Barddal, Jean Paul In International Joint Conference on Neural Networks, IJCNN 2021, Shenzhen, China, July 18-22, 2021 2021
  9. Dynamically Selected Ensemble for Data Stream Classification Cavalheiro, Lucca Portes, Souza Britto Jr., Alceu, Barddal, Jean Paul, and Heutte, Laurent In International Joint Conference on Neural Networks, IJCNN 2021, Shenzhen, China, July 18-22, 2021 2021
  10. Document Filter for Writer Identification Pignelli, Fabio, Oliveira, Luiz S., Jr., Alceu S. Britto, Costa, Yandre M. G., and Bertolini, Diego In Systems, Signals and Image Processing - 28th International Conference, IWSSIP 2021, Bratislava, Slovakia, June 2-4, 2021, Revised Selected Papers 2021
  11. Classification of Toxic Ornamental Plants for Domestic Animals Using CNN Satake, Sara S., Calvo, Rodrigo, Jr., Alceu S. Britto, and Costa, Yandre M. G. In Systems, Signals and Image Processing - 28th International Conference, IWSSIP 2021, Bratislava, Slovakia, June 2-4, 2021, Revised Selected Papers 2021
  12. UKIRF: An Item Rejection Framework for Improving Negative Items Sampling in One-Class Collaborative Filtering Viniski, Antônio David, Barddal, Jean Paul, and Souza Britto Jr., Alceu In Advances in Knowledge Discovery and Data Mining - 25th Pacific-Asia Conference, PAKDD 2021, Virtual Event, May 11-14, 2021, Proceedings, Part II 2021
  13. PUCRJ-PUCPR-UFMG at eHealth-KD Challenge 2021: A Multilingual BERT-based System for Joint Entity Recognition and Relation Extraction Pavanelli, Lucas, Schneider, Elisa Terumi Rubel, Gumiel, Yohan Bonescki, Ferreira, Thiago Castro, Oliveira, Lucas Ferro Antunes, Souza, João Vitor Andrioli, Paiva, Giovanni Pazini Meneghel, Oliveira, Lucas Emanuel Silva, Moro, Claudia Maria Cabral, Paraiso, Emerson Cabrera, and Pagano, Adriana S. In Proceedings of the Iberian Languages Evaluation Forum (IberLEF 2021) co-located with the Conference of the Spanish Society for Natural Language Processing (SEPLN 2021), XXXVII International Conference of the Spanish Society for Natural Language Processing., Málaga, Spain, September, 2021 2021
  14. Using the Projective Themathic Apperception Test for Automatic Personality Recognition in Texts Camati, Ricardo Stegh, Scaduto, Alessandro A., and Enembreck, Fabrı́cio In 2021 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2021, Melbourne, Australia, October 17-20, 2021 2021
  15. Identifying Sponsored Content in YouTube using Information Extraction Rodrigues, João Pedro Santos, Munaro, Ana C., and Paraiso, Emerson Cabrera In 2021 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2021, Melbourne, Australia, October 17-20, 2021 2021
  16. Adaptive Global k-Nearest Neighbors for Hierarchical Classification of Data Streams Tieppo, Eduardo, Barddal, Jean Paul, and Nievola, Júlio César In 2021 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2021, Melbourne, Australia, October 17-20, 2021 2021
  17. A Fusion Approach for Pre-Crash Scenarios based on Lidar and Camera Sensors Vriesman, Daniel, Pederiva, Marcelo Eduardo, Martino, José Mario De, Souza Britto Junior, Alceu, Zimmer, Alessandro, and Brandmeier, Thomas In 93rd IEEE Vehicular Technology Conference, VTC Spring 2021, Helsinki, Finland, April 25-28, 2021 2021
  18. Towards Image-Based Automatic Meter Reading in Unconstrained Scenarios: A Robust and Efficient Approach Laroca, Rayson, Araujo, Alessandra B., Zanlorensi, Luiz Antonio, Almeida, Eduardo C., and Menotti, David IEEE Access 2021
  19. Vehicle-Rear: A New Dataset to Explore Feature Fusion for Vehicle Identification Using Convolutional Neural Networks Oliveira, Icaro O., Laroca, Rayson, Menotti, David, Fonseca, Keiko Verônica Ono, and Minetto, Rodrigo IEEE Access 2021
  20. Machine Learning Methods for Histopathological Image Analysis: A Review Matos, Jonathan, Ataky, Steve Tsham Mpinda, Souza Britto Jr., Alceu, Oliveira, Luiz Eduardo Soares, and Koerich, Alessandro Lameiras CoRR 2021
  21. An Open-Source Tool for Classification Models in Resource-Constrained Hardware Silva, Lucas Tsutsui, Souza, Vinı́cius M. A., and Batista, Gustavo E. A. P. A. CoRR 2021
  22. Open-set Face Recognition for Small Galleries Using Siamese Networks Salomon, Gabriel, Jr., Alceu S. Britto, Vareto, Rafael Henrique, Schwartz, William Robson, and Menotti, David CoRR 2021
  23. Dense Video Captioning Using Unsupervised Semantic Information Junior, Valter Luı́s Estevam, Laroca, Rayson, Pedrini, Hélio, and Menotti, David CoRR 2021
  24. A comprehensive comparison of end-to-end approaches for handwritten digit string recognition Hochuli, Andre G., Jr., Alceu S. Britto, Saji, David A., Saavedra, José M., Sabourin, Robert, and Oliveira, Luiz S. Expert Syst. Appl. 2021
  25. A case study of batch and incremental recommender systems in supermarket data under concept drifts and cold start Viniski, Antônio David, Barddal, Jean Paul, Souza Britto Jr., Alceu, Enembreck, Fabrı́cio, and Campos, Humberto Vinicius Aparecido Expert Syst. Appl. 2021
  26. Efficient unsupervised drift detector for fast and high-dimensional data streams Souza, Vinı́cius M. A., Parmezan, Antonio Rafael Sabino, Chowdhury, Farhan Asif, and Mueen, Abdullah Knowl. Inf. Syst. 2021
  27. BNPA: An R package to learn path analysis input models from a data set semi-automatically using Bayesian networks Carvalho, Elias Cesar Araujo De, Vissoci, Joao Ricardo Nickenig, Andrade, Luciano, Lara Machado, Wagner, Paraiso, Emerson Cabrera, and Nievola, Júlio César Knowl. Based Syst. 2021
  28. Intrapersonal Parameter Optimization for Offline Handwritten Signature Augmentation Maruyama, Teruo M., Oliveira, Luiz S., Jr., Alceu S. Britto, and Sabourin, Robert IEEE Trans. Inf. Forensics Secur. 2021

2020

  1. BioBERTpt - A Portuguese Neural Language Model for Clinical Named Entity Recognition Schneider, Elisa Terumi Rubel, Souza, João Vitor Andrioli, Knafou, Julien, Oliveira, Lucas Emanuel Silva, Copara, Jenny, Gumiel, Yohan Bonescki, Oliveira, Lucas Ferro Antunes, Paraiso, Emerson Cabrera, Teodoro, Douglas, and Barra, Claudia Maria Cabral Moro In Proceedings of the 3rd Clinical Natural Language Processing Workshop, ClinicalNLP@EMNLP 2020, Online, November 19, 2020 2020
  2. Unsupervised Drift Detection on High-speed Data Streams Souza, Vinı́cius M. A., Chowdhury, Farhan Asif, and Mueen, Abdullah In 2020 IEEE International Conference on Big Data (IEEE BigData 2020), Atlanta, GA, USA, December 10-13, 2020 2020
  3. FilCorr: Filtered and Lagged Correlation on Streaming Time Series Zhong, Sheng, Souza, Vinı́cius M. A., and Mueen, Abdullah In 20th IEEE International Conference on Data Mining, ICDM 2020, Sorrento, Italy, November 17-20, 2020 2020
  4. Classifier Pool Generation based on a Two-level Diversity Approach Monteiro, Marcos, Jr., Alceu S. Britto, Barddal, Jean Paul, Oliveira, Luiz S., and Sabourin, Robert In 25th International Conference on Pattern Recognition, ICPR 2020, Virtual Event / Milan, Italy, January 10-15, 2021 2020
  5. Deep Learning for Image-based Automatic Dial Meter Reading: Dataset and Baselines Salomon, Gabriel, Laroca, Rayson, and Menotti, David In 2020 International Joint Conference on Neural Networks, IJCNN 2020, Glasgow, United Kingdom, July 19-24, 2020 2020
  6. Continuous Emotion Recognition via Deep Convolutional Autoencoder and Support Vector Regressor Allognon, Sevegni Odilon Clement, Souza Britto Jr., Alceu, and Koerich, Alessandro L. In 2020 International Joint Conference on Neural Networks, IJCNN 2020, Glasgow, United Kingdom, July 19-24, 2020 2020
  7. Data Augmentation for Histopathological Images Based on Gaussian-Laplacian Pyramid Blending Ataky, Steve Tsham Mpinda, Matos, Jonathan, Jr., Alceu S. Britto, Oliveira, Luiz E. S., and Koerich, Alessandro L. In 2020 International Joint Conference on Neural Networks, IJCNN 2020, Glasgow, United Kingdom, July 19-24, 2020 2020
  8. Sky/Ground Segmentation Using Different Approaches Beuren, Arlete Teresinha, Souza Britto Jr., Alceu, and Facon, Jacques In 2020 International Joint Conference on Neural Networks, IJCNN 2020, Glasgow, United Kingdom, July 19-24, 2020 2020
  9. Towards Real-time Video Content Detection in Resource Constrained Devices Geremias, Jhonatan, Santin, Altair O., Viegas, Eduardo K., and Jr., Alceu S. Britto In 2020 International Joint Conference on Neural Networks, IJCNN 2020, Glasgow, United Kingdom, July 19-24, 2020 2020
  10. An End-to-End Approach for Recognition of Modern and Historical Handwritten Numeral Strings Hochuli, Andre G., Jr., Alceu S. Britto, Barddal, Jean Paul, Sabourin, Robert, and Oliveira, Luiz E. S. In 2020 International Joint Conference on Neural Networks, IJCNN 2020, Glasgow, United Kingdom, July 19-24, 2020 2020
  11. Cross-Representation Transferability of Adversarial Attacks: From Spectrograms to Audio Waveforms Koerich, Karl M., Esmailpour, Mohammad, Abdoli, Sajjad, Jr., Alceu S. Britto, and Koerich, Alessandro L. In 2020 International Joint Conference on Neural Networks, IJCNN 2020, Glasgow, United Kingdom, July 19-24, 2020 2020
  12. A Developer Recommendation Method Based on Code Quality Silva, Matheus Camilo, Cizotto, André Armstrong Janino, and Paraiso, Emerson Cabrera In 2020 International Joint Conference on Neural Networks, IJCNN 2020, Glasgow, United Kingdom, July 19-24, 2020 2020
  13. An Experimental Analysis of Rain Interference on Detection and Ranging Sensors Vriesman, Daniel, Thoresz, Bernhard, Steinhauser, Dagmar, Zimmer, Alessandro, Jr., Alceu S. Britto, and Brandmeier, Thomas In 23rd IEEE International Conference on Intelligent Transportation Systems, ITSC 2020, Rhodes, Greece, September 20-23, 2020 2020
  14. Cost-sensitive learning for imbalanced data streams Loezer, Lucas, Enembreck, Fabrı́cio, Barddal, Jean Paul, and Souza Britto Jr., Alceu In SAC ’20: The 35th ACM/SIGAPP Symposium on Applied Computing, online event, [Brno, Czech Republic], March 30 - April 3, 2020 2020
  15. Naı̈ve Approaches to Deal With Concept Drifts Almeida, Paulo Ricardo Lisboa, Oliveira, Luiz S., Souza Britto Jr., Alceu, and Barddal, Jean Paul In 2020 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2020, Toronto, ON, Canada, October 11-14, 2020 2020
  16. Combining Slow and Fast Learning for Improved Credit Scoring Barddal, Jean Paul, Enembreck, Fabrı́cio, Loezer, Lucas, and Lanzuolo, Riccardo In 2020 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2020, Toronto, ON, Canada, October 11-14, 2020 2020
  17. Text-Based Automatic Personality Recognition: a Projective Approach Camati, Ricardo Stegh, and Enembreck, Fabrı́cio In 2020 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2020, Toronto, ON, Canada, October 11-14, 2020 2020
  18. ADADRIFT: An Adaptive Learning Technique for Long-history Stream-based Recommender Systems José, Eduardo Ferreira, Enembreck, Fabrı́cio, and Barddal, Jean Paul In 2020 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2020, Toronto, ON, Canada, October 11-14, 2020 2020
  19. Improving Multiple Time Series Forecasting with Data Stream Mining Algorithms Mochinski, Marcos Alberto, Barddal, Jean Paul, and Enembreck, Fabrı́cio In 2020 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2020, Toronto, ON, Canada, October 11-14, 2020 2020
  20. CNN Hyperparameter Tuning Applied to Iris Liveness Detection Kimura, Gabriela Y., Lucio, Diego Rafael, Jr., Alceu S. Britto, and Menotti, David In Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2020, Volume 5: VISAPP, Valletta, Malta, February 27-29, 2020 2020
  21. Regularized and incremental decision trees for data streams Barddal, Jean Paul, and Enembreck, Fabrı́cio Ann. des Télécommunications 2020
  22. The dissimilarity approach: a review Costa, Yandre M. G., Bertolini, Diego, Jr., Alceu S. Britto, Cavalcanti, George D. C., and Oliveira, Luiz E. S. Artif. Intell. Rev. 2020
  23. CSBF: A static ensemble fusion method based on the centrality score of complex networks Silva, Ronan Assumpção, Souza Britto Jr., Alceu, Enembreck, Fabrı́cio, Sabourin, Robert, and Oliveira, Luiz Eduardo Soares Comput. Intell. 2020
  24. Virtual keyboard with the prediction of words for children with cerebral palsy Jordan, Monica, Nogueira-Neto, Guilherme Nunes, Souza Britto Junior, Alceu, and Nohama, Percy Comput. Methods Programs Biomed. 2020
  25. CNN Hyperparameter tuning applied to Iris Liveness Detection Kimura, Gabriela Y., Lucio, Diego Rafael, Jr., Alceu S. Britto, and Menotti, David CoRR 2020
  26. Challenges in Benchmarking Stream Learning Algorithms with Real-world Data Souza, Vinı́cius M. A., Reis, Denis Moreira, Maletzke, André Gustavo, and Batista, Gustavo E. A. P. A. CoRR 2020
  27. Single-sample writers - "Document Filter" and their impacts on writer identification Pinhelli, Fabio, Souza Britto Jr., Alceu, Oliveira, Luiz S., Costa, Yandre M. G., and Bertolini, Diego CoRR 2020
  28. Two-View Fine-grained Classification of Plant Species Araújo, Voncarlos M., Jr., Alceu S. Britto, Oliveira, Luiz E. S., and Koerich, Alessandro L. CoRR 2020
  29. Estimating action plans for smart poultry houses Klotz, Darlan Felipe, Ribeiro, Richardson, Enembreck, Fabrı́cio, Denardin, Gustavo Weber, Barbosa, Marco A. C., Casanova, Dalcimar, and Teixeira, Marcelo CoRR 2020
  30. scikit-dyn2sel - A Dynamic Selection Framework for Data Streams Cavalheiro, Lucca Portes, Barddal, Jean Paul, Souza Britto Jr., Alceu, and Heutte, Laurent CoRR 2020
  31. Towards image-based automatic meter reading in unconstrained scenarios: A robust and efficient approach Laroca, Rayson, Araujo, Alessandra B., Zanlorensi, Luiz Antonio, Almeida, Eduardo C., and Menotti, David CoRR 2020
  32. A Comprehensive Comparison of End-to-End Approaches for Handwritten Digit String Recognition Hochuli, Andre G., Jr., Alceu S. Britto, Saji, David A., Saavedra, José M., Sabourin, Robert, and Oliveira, Luiz S. CoRR 2020
  33. Automatic Counting and Identification of Train Wagons Based on Computer Vision and Deep Learning Laroca, Rayson, Boslooper, Alessander Cidral, and Menotti, David CoRR 2020
  34. UFPR-Periocular: A Periocular Dataset Collected by Mobile Devices in Unconstrained Scenarios Zanlorensi, Luiz Antonio, Laroca, Rayson, Lucio, Diego Rafael, Santos, Lucas R., Jr., Alceu S. Britto, and Menotti, David CoRR 2020
  35. Challenges in benchmarking stream learning algorithms with real-world data Souza, Vinı́cius M. A., Reis, Denis Moreira, Maletzke, André Gustavo, and Batista, Gustavo E. A. P. A. Data Min. Knowl. Discov. 2020
  36. Lessons learned from data stream classification applied to credit scoring Barddal, Jean Paul, Loezer, Lucas, Enembreck, Fabrı́cio, and Lanzuolo, Riccardo Expert Syst. Appl. 2020
  37. Deep representations for cross-spectral ocular biometrics Zanlorensi, Luiz Antonio, Lucio, Diego Rafael, Souza Britto Junior, Alceu, Proença, Hugo, and Menotti, David IET Biom. 2020
  38. Selecting and Combining Classifiers Based on Centrality Measures Silva, Ronan Assumpção, Jr., Alceu S. Britto, Enembreck, Fabrı́cio, Sabourin, Robert, and Oliveira, Luiz S. Int. J. Artif. Intell. Tools 2020

2019

  1. Texture CNN for Histopathological Image Classification Matos, Jonathan, Souza Britto Jr., Alceu, Oliveira, Luiz Eduardo Soares, and Koerich, Alessandro Lameiras In 32nd IEEE International Symposium on Computer-Based Medical Systems, CBMS 2019, Cordoba, Spain, June 5-7, 2019 2019
  2. Multi-task Learning for Low-Resolution License Plate Recognition Gonçalves, Gabriel Resende, Diniz, Matheus Alves, Laroca, Rayson, Menotti, David, and Schwartz, William Robson In Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications - 24th Iberoamerican Congress, CIARP 2019, Havana, Cuba, October 28-31, 2019, Proceedings 2019
  3. A Visual Tool for Supporting Collaborative Code Quality Silva, Matheus Camilo, Bassi, Patricia Rucker, Wanderley, Gregory Moro Puppi, Tacla, Cesar Augusto, and Paraiso, Emerson Cabrera In 23rd IEEE International Conference on Computer Supported Cooperative Work in Design, CSCWD 2019, Porto, Portugal, May 6-8, 2019 2019
  4. Using Correlation for Labelset Selection in Multi-Label Classification of Users Reactions Curi, Zacarias, Souza Britto Jr., Alceu, and Paraiso, Emerson Cabrera In Proceedings of the Thirty-Second International Florida Artificial Intelligence Research Society Conference, Sarasota, Florida, USA, May 19-22 2019 2019
  5. Using Linguistic Context to Learn Folksonomies from Task-Oriented Dialogues Wanderley, Gregory Moro Puppi, and Paraiso, Emerson Cabrera In Proceedings of the Thirty-Second International Florida Artificial Intelligence Research Society Conference, Sarasota, Florida, USA, May 19-22 2019 2019
  6. Binarization of Degraded Document Images using Convolutional Neural Networks Based on Predicted Two-Channel Images Akbari, Younes, Jr., Alceu S. Britto, Al-Máadeed, Somaya, and Oliveira, Luiz S. In 2019 International Conference on Document Analysis and Recognition, ICDAR 2019, Sydney, Australia, September 20-25, 2019 2019
  7. Multi-label Emotion Classification in Music Videos Using Ensembles of Audio and Video Features Kostiuk, Bruno, Costa, Yandre M. G., Souza Britto Jr., Alceu, Hu, Xiao, and Silla, Carlos N. In 31st IEEE International Conference on Tools with Artificial Intelligence, ICTAI 2019, Portland, OR, USA, November 4-6, 2019 2019
  8. EmbML Tool: Supporting the use of Supervised Learning Algorithms in Low-Cost Embedded Systems Silva, Lucas Tsutsui, Souza, Vinı́cius M. A., and Batista, Gustavo E. A. P. A. In 31st IEEE International Conference on Tools with Artificial Intelligence, ICTAI 2019, Portland, OR, USA, November 4-6, 2019 2019
  9. Texture CNN for Thermoelectric Metal Pipe Image Classification Vriesman, Daniel, Jr., Alceu S. Britto, Zimmer, Alessandro, and Koerich, Alessandro Lameiras In 31st IEEE International Conference on Tools with Artificial Intelligence, ICTAI 2019, Portland, OR, USA, November 4-6, 2019 2019
  10. Vertical and Horizontal Partitioning in Data Stream Regression Ensembles Barddal, Jean Paul In International Joint Conference on Neural Networks, IJCNN 2019 Budapest, Hungary, July 14-19, 2019 2019
  11. Evaluating Incomplete DCOP Algorithms On Large-Scale Problems Leite, Allan Rodrigo, and Enembreck, Fabrı́cio In International Joint Conference on Neural Networks, IJCNN 2019 Budapest, Hungary, July 14-19, 2019 2019
  12. Double Transfer Learning for Breast Cancer Histopathologic Image Classification Matos, Jonathan, Souza Britto Jr., Alceu, Oliveira, Luiz E. S., and Koerich, Alessandro L. In International Joint Conference on Neural Networks, IJCNN 2019 Budapest, Hungary, July 14-19, 2019 2019
  13. Representation Learning vs. Handcrafted Features for Music Genre Classification Pereira, Rodolfo Miranda, Costa, Yandre M. G., Lima Aguiar, Rafael, Jr., Alceu S. Britto, Oliveira, Luiz E. S., and Silla, Carlos N. In International Joint Conference on Neural Networks, IJCNN 2019 Budapest, Hungary, July 14-19, 2019 2019
  14. Image Retrieval and Pattern Spotting using Siamese Neural Network Wiggers, Kelly Lais, Jr., Alceu S. Britto, Heutte, Laurent, Koerich, Alessandro L., and Oliveira, Luiz S. In International Joint Conference on Neural Networks, IJCNN 2019 Budapest, Hungary, July 14-19, 2019 2019
  15. Identifying Influences of Game Upgrades on Profitable Players Behavior in MMORPGs Kummer, Luiz Bernardo Martins, Iida, Hiroyuki, Nievola, Júlio César, and Paraiso, Emerson Cabrera In Entertainment Computing and Serious Games - First IFIP TC 14 Joint International Conference, ICEC-JCSG 2019, Arequipa, Peru, November 11-15, 2019, Proceedings 2019
  16. Representation Learning and Dissimilarity for Writer Identification Helal, Lucas Georges, Bertolini, Diego, Costa, Yandre M. G., Cavalcanti, George D. C., Jr., Alceu S. Britto, and Oliveira, Luiz E. S. In International Conference on Systems, Signals and Image Processing, IWSSIP 2019, Osijek, Croatia, June 5-7, 2019 2019
  17. Data Augmentation and Transfer Learning Applied to Charcoal Image Classification Menon, Luciana Trinkaus, R., Israel A. Laurensi, N., Manoel Camillo O. Penna, Oliveira, Luiz E. S., and Jr., Alceu S. Britto In International Conference on Systems, Signals and Image Processing, IWSSIP 2019, Osijek, Croatia, June 5-7, 2019 2019
  18. Vehicle Detection and Classification in Traffic Images Using ConvNets With Constrained Resources Roecker, Max N., Costa, Yandre M. G., Jr., Alceu S. Britto, Oliveira, Luiz E. S., and Bertolini, Diego In International Conference on Systems, Signals and Image Processing, IWSSIP 2019, Osijek, Croatia, June 5-7, 2019 2019
  19. Learning regularized hoeffding trees from data streams Barddal, Jean Paul, and Enembreck, Fabrı́cio In Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing, SAC 2019, Limassol, Cyprus, April 8-12, 2019 2019
  20. Decision tree-based feature ranking in concept drifting data streams Karax, Jean Antonio Pereira, Malucelli, Andreia, and Barddal, Jean Paul In Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing, SAC 2019, Limassol, Cyprus, April 8-12, 2019 2019
  21. Simultaneous Iris and Periocular Region Detection Using Coarse Annotations Lucio, Diego Rafael, Laroca, Rayson, Zanlorensi, Luiz Antonio, Moreira, Gladston, and Menotti, David In 32nd SIBGRAPI Conference on Graphics, Patterns and Images, SIBGRAPI 2019, Rio de Janeiro, Brazil, October 28-30, 2019 2019
  22. Memory Integrity of CNNs for Cross-Dataset Facial Expression Recognition Tannugi, Dylan C., Jr., Alceu S. Britto, and Koerich, Alessandro L. In 2019 IEEE International Conference on Systems, Man and Cybernetics, SMC 2019, Bari, Italy, October 6-9, 2019 2019
  23. Generating action plans for poultry management using artificial neural networks Ribeiro, Richardson, Casanova, Dalcimar, Teixeira, Marcelo, Wirth, André L., Gomes, Heitor Murilo, Borges, André Pinz, and Enembreck, Fabrı́cio Comput. Electron. Agric. 2019
  24. Convolutional Neural Networks for Automatic Meter Reading Laroca, Rayson, Barroso, Victor, Diniz, Matheus Alves, Gonçalves, Gabriel Resende, Schwartz, William Robson, and Menotti, David CoRR 2019
  25. Histopathologic Image Processing: A Review Matos, Jonathan, Souza Britto Jr., Alceu, Oliveira, Luiz E. S., and Koerich, Alessandro L. CoRR 2019
  26. A Novel Orthogonal Direction Mesh Adaptive Direct Search Approach for SVM Hyperparameter Tuning Mello, Alexandre Reeberg, Matos, Jonathan, Stemmer, Marcelo Ricardo, Souza Britto Jr., Alceu, and Koerich, Alessandro Lameiras CoRR 2019
  27. Style Transfer Applied to Face Liveness Detection with User-Centered Models R., Israel A. Laurensi, Menon, Luciana Trinkaus, N., Manoel Camillo O. Penna, Koerich, Alessandro L., and Jr., Alceu S. Britto CoRR 2019
  28. Deep Learning Approaches for Image Retrieval and Pattern Spotting in Ancient Documents Wiggers, Kelly Lais, Souza Britto Junior, Alceu, Koerich, Alessandro Lameiras, Heutte, Laurent, and Oliveira, Luiz Eduardo Soares CoRR 2019
  29. An Efficient and Layout-Independent Automatic License Plate Recognition System Based on the YOLO detector Laroca, Rayson, Zanlorensi, Luiz Antonio, Gonçalves, Gabriel Resende, Todt, Eduardo, Schwartz, William Robson, and Menotti, David CoRR 2019
  30. Cross-Representation Transferability of Adversarial Perturbations: From Spectrograms to Audio Waveforms Koerich, Karl M., Esmailpour, Mohammad, Abdoli, Sajjad, Jr., Alceu S. Britto, and Koerich, Alessandro L. CoRR 2019
  31. Vehicle Re-identification: exploring feature fusion using multi-stream convolutional networks Oliveira, Icaro O., Laroca, Rayson, Menotti, David, Fonseca, Keiko V. O., and Minetto, Rodrigo CoRR 2019
  32. Deep Representations for Cross-spectral Ocular Biometrics Zanlorensi, Luiz Antonio, Lucio, Diego Rafael, Jr., Alceu S. Britto, Proença, Hugo, and Menotti, David CoRR 2019
  33. Ocular Recognition Databases and Competitions: A Survey Zanlorensi, Luiz Antonio, Laroca, Rayson, S. Luz, Eduardo José, Jr., Alceu S. Britto, Oliveira, Luiz S., and Menotti, David CoRR 2019
  34. Merit-guided dynamic feature selection filter for data streams Barddal, Jean Paul, Enembreck, Fabrı́cio, Gomes, Heitor Murilo, Bifet, Albert, and Pfahringer, Bernhard Expert Syst. Appl. 2019
  35. Boosting decision stumps for dynamic feature selection on data streams Barddal, Jean Paul, Enembreck, Fabrı́cio, Gomes, Heitor Murilo, Bifet, Albert, and Pfahringer, Bernhard Inf. Syst. 2019
  36. Evaluation of statistical and machine learning models for time series prediction: Identifying the state-of-the-art and the best conditions for the use of each model Parmezan, Antonio Rafael Sabino, Souza, Vinı́cius M. A., and Batista, Gustavo E. A. P. A. Inf. Sci. 2019
  37. Using Collective Behavior of Coupled Oscillators for Solving DCOP Leite, Allan Rodrigo, and Enembreck, Fabrı́cio J. Artif. Intell. Res. 2019
  38. Convolutional neural networks for automatic meter reading Laroca, Rayson, Barroso, Victor, Diniz, Matheus Alves, Gonçalves, Gabriel Resende, Schwartz, William Robson, and Menotti, David J. Electronic Imaging 2019
  39. Correction to: Adaptive random forests for evolving data stream classification Gomes, Heitor Murilo, Bifet, Albert, Read, Jesse, Barddal, Jean Paul, Enembreck, Fabrı́cio, Pfahringer, Bernhard, Holmes, Geoff, and Abdessalem, Talel Mach. Learn. 2019
  40. Machine learning for streaming data: state of the art, challenges, and opportunities Gomes, Heitor Murilo, Read, Jesse, Bifet, Albert, Barddal, Jean Paul, and Gama, João SIGKDD Explor. 2019
  41. Automatic visual inspection of thermoelectric metal pipes Vriesman, Daniel, Souza Britto Jr., Alceu, Zimmer, Alessandro, Koerich, Alessandro L., and Paludo, Rodrigo Signal Image Video Process. 2019
  42. Abordagens livres de segmentação para reconhecimento automático de cadeias numéricas manuscritas utilizando aprendizado profundo Hochuli, Andre Gustavo 2019

2018

  1. Evaluating Stream Classifiers with Delayed Labels Information Souza, Vinı́cius M. A., Silva, Tiago Pinho, and Batista, Gustavo E. A. P. A. In 7th Brazilian Conference on Intelligent Systems, BRACIS 2018, São Paulo, Brazil, October 22-25, 2018 2018
  2. Fully Convolutional Networks and Generative Adversarial Networks Applied to Sclera Segmentation Lucio, Diego Rafael, Laroca, Rayson, Severo, Evair, Jr., Alceu S. Britto, and Menotti, David In 9th IEEE International Conference on Biometrics Theory, Applications and Systems, BTAS 2018, Redondo Beach, CA, USA, October 22-25, 2018 2018
  3. Towards Hierarchical Classification of Data Streams Parmezan, Antonio Rafael Sabino, Souza, Vinı́cius M. A., and Batista, Gustavo E. A. P. A. In Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications - 23rd Iberoamerican Congress, CIARP 2018, Madrid, Spain, November 19-22, 2018, Proceedings 2018
  4. A Fuzzy Classifier for Data Streams with Infinitely Delayed Labels Silva, Tiago Pinho, Souza, Vinı́cius Mourão Alves, Batista, Gustavo Enrique De Almeida Prado Alves, and Arruda Camargo, Heloisa In Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications - 23rd Iberoamerican Congress, CIARP 2018, Madrid, Spain, November 19-22, 2018, Proceedings 2018
  5. Applying Commitment to Churn and Remaining Players Lifetime Prediction Kummer, Luiz Bernardo Martins, Nievola, Júlio César, and Paraiso, Emerson Cabrera In 2018 IEEE Conference on Computational Intelligence and Games, CIG 2018, Maastricht, The Netherlands, August 14-17, 2018 2018
  6. Measuring Developers’ Contribution in Source Code using Quality Metrics Bassi, Patricia Rucker, Puppi, Gregory Moro, Banali, Pedro Henrique, and Paraiso, Emerson Cabrera In 22nd IEEE International Conference on Computer Supported Cooperative Work in Design, CSCWD 2018, Nanjing, China, May 9-11, 2018 2018
  7. Designing Proactive Interfaces for Cooperation using Systems of Systems Wanderley, Gregory Moro Puppi, Abel, Marie-Hélène, and Paraiso, Emerson Cabrera In 22nd IEEE International Conference on Computer Supported Cooperative Work in Design, CSCWD 2018, Nanjing, China, May 9-11, 2018 2018
  8. Adaptive random forests for data stream regression Gomes, Heitor Murilo, Barddal, Jean Paul, Ferreira, Luis Eduardo Boiko, and Bifet, Albert In 26th European Symposium on Artificial Neural Networks, ESANN 2018, Bruges, Belgium, April 25-27, 2018 2018
  9. Identifying Niche Stage in MMORPGs Using Ensemble Classifier Kummer, Luiz Bernardo Martins, Nievola, Júlio César, and Paraiso, Emerson Cabrera In Proceedings of the Thirty-First International Florida Artificial Intelligence Research Society Conference, FLAIRS 2018, Melbourne, Florida, USA. May 21-23 2018 2018
  10. An Adaptive Approach for Index Tuning with Learning Classifier Systems on Hybrid Storage Environments Pedrozo, Wendel Góes, Nievola, Júlio César, and Carvalho, Deborah Ribeiro In Hybrid Artificial Intelligent Systems - 13th International Conference, HAIS 2018, Oviedo, Spain, June 20-22, 2018, Proceedings 2018
  11. Discriminating Postural Control Behaviors from Posturography with Statistical Tests and Machine Learning Models: Does Time Series Length Matter? Giovanini, Luiz H. F., Manffra, Elisangela F., and Nievola, Júlio C. In Computational Science - ICCS 2018 - 18th International Conference, Wuxi, China, June 11-13, 2018 Proceedings, Part III 2018
  12. Fine-Grained Hierarchical Classification of Plant Leaf Images Using Fusion of Deep Models Araújo, Voncarlos M., Jr., Alceu S. Britto, Brun, André L., Koerich, Alessandro L., and Oliveira, Luiz E. S. In IEEE 30th International Conference on Tools with Artificial Intelligence, ICTAI 2018, 5-7 November 2018, Volos, Greece 2018
  13. Forest Species Recognition Based on Ensembles of Classifiers Martins, Jefferson G., Oliveira, Luiz S., Sabourin, Robert, and Jr., Alceu S. Britto In IEEE 30th International Conference on Tools with Artificial Intelligence, ICTAI 2018, 5-7 November 2018, Volos, Greece 2018
  14. A Brazilian Speech Database Paulino, Marco Aurelio Deoldoto, Costa, Yandre Maldonado, Jr., Alceu S. Britto, Svaigen, Alisson Renan, Aylon, Linnyer Beatrys Ruiz, and Oliveira, Luiz Eduardo Soares In IEEE 30th International Conference on Tools with Artificial Intelligence, ICTAI 2018, 5-7 November 2018, Volos, Greece 2018
  15. Dynamic Ensemble Selection by K-Nearest Local Oracles with Discrimination Index Pereira, Marcelo, Jr., Alceu S. Britto, Oliveira, Luiz S., and Sabourin, Robert In IEEE 30th International Conference on Tools with Artificial Intelligence, ICTAI 2018, 5-7 November 2018, Volos, Greece 2018
  16. Fusion of Classifiers Based on Centrality Measures Silva, Ronan Assumpção, Jr., Alceu S. Britto, Enembreck, Fabrı́cio, Sabourin, Robert, and Oliveira, Luis S. In IEEE 30th International Conference on Tools with Artificial Intelligence, ICTAI 2018, 5-7 November 2018, Volos, Greece 2018
  17. GAMBAD: A Method for Developing Systems of Systems Wanderley, Gregory Moro Puppi, Abel, Marie-Hélène, Paraiso, Emerson Cabrera, and Barthès, Jean-Paul A. In IEEE 30th International Conference on Tools with Artificial Intelligence, ICTAI 2018, 5-7 November 2018, Volos, Greece 2018
  18. An Experimental Perspective on Sampling Methods for Imbalanced Learning From Financial Databases Ferreira, Luis Eduardo Boiko, Barddal, Jean Paul, Enembreck, Fabrı́cio, and Gomes, Heitor Murilo In 2018 International Joint Conference on Neural Networks, IJCNN 2018, Rio de Janeiro, Brazil, July 8-13, 2018 2018
  19. Segmentation-Free Approaches For Handwritten Numeral String Recognition Hochuli, Andre G., Oliveira, Luiz S., Souza Britto Jr., Alceu, and Sabourin, Robert In 2018 International Joint Conference on Neural Networks, IJCNN 2018, Rio de Janeiro, Brazil, July 8-13, 2018 2018
  20. A generalized financial time series forecasting model based on automatic feature engineering using genetic algorithms and support vector machine Junior, Norberto Ritzmann, and Nievola, Júlio César In 2018 International Joint Conference on Neural Networks, IJCNN 2018, Rio de Janeiro, Brazil, July 8-13, 2018 2018
  21. A Robust Real-Time Automatic License Plate Recognition Based on the YOLO Detector Laroca, Rayson, Severo, Evair, Zanlorensi, Luiz Antonio, Oliveira, Luiz S., Gonçalves, Gabriel Resende, Schwartz, William Robson, and Menotti, David In 2018 International Joint Conference on Neural Networks, IJCNN 2018, Rio de Janeiro, Brazil, July 8-13, 2018 2018
  22. A Benchmark for Iris Location and a Deep Learning Detector Evaluation Severo, Evair, Laroca, Rayson, Bezerra, Cides S., Zanlorensi, Luiz Antonio, Weingaertner, Daniel, Moreira, Gladston, and Menotti, David In 2018 International Joint Conference on Neural Networks, IJCNN 2018, Rio de Janeiro, Brazil, July 8-13, 2018 2018
  23. Document Image Retrieval Using Deep Features Wiggers, Kelly Lais, Jr., Alceu S. Britto, Heutte, Laurent, Koerich, Alessandro L., and Oliveira, Luiz Eduardo Soares In 2018 International Joint Conference on Neural Networks, IJCNN 2018, Rio de Janeiro, Brazil, July 8-13, 2018 2018
  24. Are fintechs really a hype? A machine learning-based polarity analysis of Brazilian posts on social media Seara, Marina Ponestke, Malucelli, Andreia, Santin, Altair Olivo, and Barddal, Jean Paul In 16th IEEE International Conference on Industrial Informatics, INDIN 2018, Porto, Portugal, July 18-20, 2018 2018
  25. Temporal Tagging of Noisy Clinical Texts in Brazilian Portuguese Azevedo, Rafael Faria, Rodrigues, João Pedro Santos, Silva Reis, Mayara Regina, Moro, Claudia Maria Cabral, and Paraiso, Emerson Cabrera In Computational Processing of the Portuguese Language - 13th International Conference, PROPOR 2018, Canela, Brazil, September 24-26, 2018, Proceedings 2018
  26. Using Systems of Systems to Manage Enterprise Contacts Wanderley, Gregory Moro Puppi, Abel, Marie-Hélène, Barthès, Jean-Paul A., and Paraiso, Emerson Cabrera In 4th IEEE International Forum on Research and Technology for Society and Industry, RTSI 2018, Palermo, Italy, September 10-13, 2018 2018
  27. Iterative subset selection for feature drifting data streams Yuan, Lanqin, Pfahringer, Bernhard, and Barddal, Jean Paul In Proceedings of the 33rd Annual ACM Symposium on Applied Computing, SAC 2018, Pau, France, April 09-13, 2018 2018
  28. Robust Iris Segmentation Based on Fully Convolutional Networks and Generative Adversarial Networks Bezerra, Cides S., Laroca, Rayson, Lucio, Diego Rafael, Severo, Evair, Oliveira, Lucas F., Jr., Alceu S. Britto, and Menotti, David In 31st SIBGRAPI Conference on Graphics, Patterns and Images, SIBGRAPI 2018, Paraná, Brazil, October 29 - Nov. 1, 2018 2018
  29. Real-Time Automatic License Plate Recognition through Deep Multi-Task Networks Gonçalves, Gabriel Resende, Diniz, Matheus Alves, Laroca, Rayson, Menotti, David, and Schwartz, William Robson In 31st SIBGRAPI Conference on Graphics, Patterns and Images, SIBGRAPI 2018, Paraná, Brazil, October 29 - Nov. 1, 2018 2018
  30. The Impact of Preprocessing on Deep Representations for Iris Recognition on Unconstrained Environments Zanlorensi, Luiz Antonio, S. Luz, Eduardo José, Laroca, Rayson, Jr., Alceu S. Britto, Oliveira, Luiz S., and Menotti, David In 31st SIBGRAPI Conference on Graphics, Patterns and Images, SIBGRAPI 2018, Paraná, Brazil, October 29 - Nov. 1, 2018 2018
  31. Image Metamorphosis to Support Forensic Reconstruction Azevedo, Breno, Facon, Jacques, and Souza Britto Jr., Alceu In IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018, Miyazaki, Japan, October 7-10, 2018 2018
  32. MBA: A Framework for Building Systems of Systems Wanderley, Gregory Moro Puppi, Abel, Marie-Hélène, Paraiso, Emerson Cabrera, and Barthès, Jean-Paul A. In 13th Annual Conference on System of Systems Engineering, SoSE 2018, Paris, France, June 19-22, 2018 2018
  33. MBA: A system of systems architecture model for supporting collaborative work Wanderley, Gregory Moro Puppi, Abel, Marie-Hélène, Paraiso, Emerson Cabrera, and Barthès, Jean-Paul A. Comput. Ind. 2018
  34. A Robust Real-Time Automatic License Plate Recognition based on the YOLO Detector Laroca, Rayson, Severo, Evair, Zanlorensi, Luiz Antonio, Oliveira, Luiz S., Gonçalves, Gabriel Resende, Schwartz, William Robson, and Menotti, David CoRR 2018
  35. Segmentation-Free Approaches for Handwritten Numeral String Recognition Hochuli, Andre G., Oliveira, Luiz E. S., Jr., Alceu S. Britto, and Sabourin, Robert CoRR 2018
  36. Fully Connected Networks and Generative Neural Networks Applied to Sclera Segmentation Lucio, Diego Rafael, Laroca, Rayson, Severo, Evair, Jr., Alceu S. Britto, and Menotti, David CoRR 2018
  37. Multi-label Classification of User Reactions in Online News Curi, Zacarias, Souza Britto Jr., Alceu, and Paraiso, Emerson Cabrera CoRR 2018
  38. Asphalt pavement classification using smartphone accelerometer and Complexity Invariant Distance Souza, Vinı́cius M. A. Eng. Appl. Artif. Intell. 2018
  39. Automatic classification of native wood charcoal Maruyama, Teruo M., Oliveira, Luiz Eduardo Soares, Souza Britto Jr., Alceu, and Nisgoski, Silvana Ecol. Informatics 2018
  40. Adapting dynamic classifier selection for concept drift Almeida, Paulo R. L., Oliveira, Luiz S., Jr., Alceu S. Britto, and Sabourin, Robert Expert Syst. Appl. 2018
  41. Applying multi-label techniques in emotion identification of short texts Almeida, Alex Marino Gonçalves, Cerri, Ricardo, Paraiso, Emerson Cabrera, Mantovani, Rafael Gomes, and Junior, Sylvio Barbon Neurocomputing 2018
  42. Asfault: A low-cost system to evaluate pavement conditions in real-time using smartphones and machine learning Souza, Vinı́cius M. A., Giusti, Rafael, and Batista, Antonio J. L. Pervasive Mob. Comput. 2018
  43. A framework for dynamic classifier selection oriented by the classification problem difficulty Brun, Andre L., Jr., Alceu S. Britto, Oliveira, Luiz S., Enembreck, Fabrı́cio, and Sabourin, Robert Pattern Recognit. 2018
  44. Handwritten digit segmentation: Is it still necessary? Hochuli, Andre G., Oliveira, Luiz S., Souza Britto Jr., Alceu, and Sabourin, Robert Pattern Recognit. 2018

2017

  1. Comparative Study of Dimensionality Reduction Methods Using Reliable Features for Multiple Datasets Obtained by rs-fMRI in ADHD Prediction Garcia, Rodolfo, Paraiso, Emerson Cabrera, and Nievola, Júlio César In Advances in Artificial Intelligence - 30th Canadian Conference on Artificial Intelligence, Canadian AI 2017, Edmonton, AB, Canada, May 16-19, 2017, Proceedings 2017
  2. A system of systems architecture for supporting decision-making Wanderley, Gregory Moro Puppi, Abel, Marie-Hélène, Barthès, Jean-Paul A., and Paraiso, Emerson Cabrera In 21st IEEE International Conference on Computer Supported Cooperative Work in Design, CSCWD 2017, Wellington, New Zealand, April 26-28, 2017 2017
  3. A Key Risk Indicator for the Game Usage Lifecycle Kummer, Luiz, Nievola, Júlio C., and Paraiso, Emerson Cabrera In Proceedings of the Thirtieth International Florida Artificial Intelligence Research Society Conference, FLAIRS 2017, Marco Island, Florida, USA, May 22-24, 2017 2017
  4. Two-stage facial age prediction using group-specific features Pontes, Jhony K., Fookes, Clinton, Jr., Alceu S. Britto, and Koerich, Alessandro L. In 2017 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2017, New Orleans, LA, USA, March 5-9, 2017 2017
  5. Sampling and Digital Filtering Effects When Recognizing Postural Control with Statistical Tools and the Decision Tree Classifier Giovanini, Luiz Henrique Franco, Silva, Simone M., Manffra, Elisangela F., and Nievola, Júlio C. In International Conference on Computational Science, ICCS 2017, 12-14 June 2017, Zurich, Switzerland 2017
  6. An Advanced Software Tool to Simulate Service Restoration Problems: a case study on Power Distribution Systems Ribeiro, Richardson, Enembreck, Fabrı́cio, Guisi, Douglas M., Casanova, Dalcimar, Teixeira, Marcelo, Souza, Fausto A., and Borges, André Pinz In International Conference on Computational Science, ICCS 2017, 12-14 June 2017, Zurich, Switzerland 2017
  7. Developer Modelling using Software Quality Metrics and Machine Learning Beal, Franciele, Bassi, Patricia Rucker, and Paraiso, Emerson Cabrera In ICEIS 2017 - Proceedings of the 19th International Conference on Enterprise Information Systems, Volume 1, Porto, Portugal, April 26-29, 2017 2017
  8. The Foreign Language Effect in Risk Decision-Making: A Cross-Country Review of Brazilians and Poles Behavior in a Loss Aversion Experiment Ascher, David, Polowczyk, Jan, Wielicka-Regulska, Anna, Silva, Wesley Vieira, and Souza Britto Junior, Alceu In Proceedings of the 8th International Conference on E-business, Management and Economics, ICEME 2017, Birmingham, United Kingdom, October 27-29, 2017 2017
  9. Improving Credit Risk Prediction in Online Peer-to-Peer (P2P) Lending Using Imbalanced Learning Techniques Ferreira, Luis Eduardo Boiko, Barddal, Jean Paul, Gomes, Heitor Murilo, and Enembreck, Fabrı́cio In 29th IEEE International Conference on Tools with Artificial Intelligence, ICTAI 2017, Boston, MA, USA, November 6-8, 2017 2017
  10. Combining Process Mining with Trace Clustering: Manufacturing Shop Floor Process - An Applied Case Meincheim, Alex, Santos Garcia, Cleiton, Nievola, Júlio César, and Scalabrin, Edson Emı́lio In 29th IEEE International Conference on Tools with Artificial Intelligence, ICTAI 2017, Boston, MA, USA, November 6-8, 2017 2017
  11. Towards Automatic Evaluation of Asphalt Irregularity Using Smartphone’s Sensors Souza, Vinı́cius M. A., Cherman, Everton Alvares, Rossi, Rafael Geraldeli, and Souza, Rafael A. In Advances in Intelligent Data Analysis XVI - 16th International Symposium, IDA 2017, London, UK, October 26-28, 2017, Proceedings 2017
  12. An investigation of the hoeffding adaptive tree for the problem of network intrusion detection Correa, Diego Guarnieri, Enembreck, Fabrı́cio, and Silla, Carlos N. In 2017 International Joint Conference on Neural Networks, IJCNN 2017, Anchorage, AK, USA, May 14-19, 2017 2017
  13. A two-step cascade classification method Silva Junior, Eunelson Jose, Jr., Alceu S. Britto, Oliveira, Luiz S., Enembreck, Fabrı́cio, Sabourin, Robert, and Koerich, Alessandro L. In 2017 International Joint Conference on Neural Networks, IJCNN 2017, Anchorage, AK, USA, May 14-19, 2017 2017
  14. Supervised Approach to Sky and Ground Classification Using Whiteness-Based Features Mattos, Flávia Letı́cia, Beuren, Arlete Teresinha, Souza, Bruno Miguel Nogueira, Souza Britto Jr., Alceu, and Facon, Jacques In Advances in Computational Intelligence - 16th Mexican International Conference on Artificial Intelligence, MICAI 2017, Enseneda, Mexico, October 23-28, 2017, Proceedings, Part II 2017
  15. Multiple classifier system for plant leaf recognition Araujo, Voncarlos, Jr., Alceu S. Britto, Brun, Andre L., Koerich, Alessandro L., and Palate, Rosane In 2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017, Banff, AB, Canada, October 5-8, 2017 2017
  16. A core architecture for developing systems of systems Wanderley, Gregory Moro Puppi, Abel, Marie-Hélène, Barthès, Jean-Paul A., and Paraiso, Emerson Cabrera In 2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017, Banff, AB, Canada, October 5-8, 2017 2017
  17. Estudo exploratório de categorias gramaticais com potencial de indicadores para a Análise de Sentimentos (An Exploratory study of grammatical categories as potential indicators for Sentiment Analysis)[In Portuguese] Rodrigues, Júlia, Pagano, Adriana S., and Paraiso, Emerson Cabrera In Proceedings of the 11th Brazilian Symposium in Information and Human Language Technology, STIL 2017, Uberlândia, Brazil, October 2-5, 2017 2017
  18. Automatic counting of trypanosomatid amastigotes in infected human cells Souza Relli, Cleber, Facon, Jacques, Ayala, Horacio Legal, and Souza Britto Jr., Alceu Comput. Biol. Medicine 2017
  19. People Counting in Crowded and Outdoor Scenes using an Hybrid Multi-Camera Approach Dittrich, Fabio, Oliveira, Luiz Eduardo Soares, Jr., Alceu S. Britto, and Koerich, Alessandro L. CoRR 2017
  20. A Survey on Ensemble Learning for Data Stream Classification Gomes, Heitor Murilo, Barddal, Jean Paul, Enembreck, Fabrı́cio, and Bifet, Albert ACM Comput. Surv. 2017
  21. The Need for Affective Trust Applied to Trust and Reputation Models Granatyr, Jones, Osman, Nardine, Dias, João Miguel, Nunes, Maria Augusta Silveira Netto, Masthoff, Judith, Enembreck, Fabrı́cio, Lessing, Otto Robert, Sierra, Carles, Paiva, Ana, and Scalabrin, Edson Emı́lio ACM Comput. Surv. 2017
  22. Unsupervised active learning techniques for labeling training sets: An experimental evaluation on sequential data Souza, Vinı́cius Mourão Alves, Rossi, Rafael Geraldeli, Batista, Gustavo E. A. P. A., and Rezende, Solange O. Intell. Data Anal. 2017
  23. A survey on feature drift adaptation: Definition, benchmark, challenges and future directions Barddal, Jean Paul, Gomes, Heitor Murilo, Enembreck, Fabrı́cio, and Pfahringer, Bernhard J. Syst. Softw. 2017
  24. Adaptive random forests for evolving data stream classification Gomes, Heitor Murilo, Bifet, Albert, Read, Jesse, Barddal, Jean Paul, Enembreck, Fabrı́cio, Pfahringer, Bernhard, Holmes, Geoff, and Abdessalem, Talel Mach. Learn. 2017