Publications

Group highlights

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

Machine Learning Methods for Histopathological Image Analysis, A Review

Histopathological images (HIs) are the gold standard for evaluating some types of tumors for cancer diagnosis. The analysis of such images is time and resource-consuming and very challenging even for experienced pathologists, resulting in inter-observer and intra-observer disagreements. One of the ways of accelerating such an analysis is to use computer-aided diagnosis (CAD) systems. This paper presents a review on machine learning methods for histopathological image analysis, including shallow and deep learning methods. We also cover the most common tasks in HI analysis, such as segmentation and feature extraction. Besides, we present a list of publicly available and private datasets that have been used in HI research.

Electronics, 2021

Applying multi-label techniques in emotion identification of short texts

Sentiment Analysis is an emerging research field traditionally applied to classify opinions, sentiments and emotions towards polarity and subjectivity expressed in text. An important characteristic to automatic emotion analysis is the standpoint, in which we can look at an opinion from two perspectives, the opinion holder (author) who express an opinion, and the reader who reads and perceives the opinion. From the reader’s standpoint, the interpretations of the text can be multiple and depend on the personal background. The multiple standpoints cognition, in which readers can look at the same sentence, is an interesting scenario to use the multi-label classification paradigm in the Sentiment Analysis domain. This methodology is able to handle different target sentiments simultaneously in the same text, by also taking advantage of the relations between them. We applied different approaches such as algorithm adaptation, problem transformation and ensemble methods in order to explore the wide range of multi-label solutions. The experiments were conducted on 10,080 news sentences from two different real datasets. Experimental results showed that the Ensemble Classifier Chain overcame the other algorithms, average F-measure of 64.89% using emotion strength features, when considering six emotions and neutral sentiment.

Alex Marino Goncalves Almeida, Ricardo Cerri, Emerson Cabrera Paraiso, Rafael Gomes Mantovani, and Sylvio Barbon Junior

Neurocomputing, 2018

A case study of batch and incremental recommender systems in supermarket data under concept drifts and cold start

Recommender systems uncover relationships between users and items, thus allowing personalized recommendations. Nonetheless, users’ preferences may change over time, the so-called concept drifts; or new users and items may appear, making the recommender system unable to accurately map the relationship between users and items due to the cold start problem. Consequently, concept drift and cold start are challenges that downgrade the recommender system’s predictive performance. This paper assesses existing approaches for collaborative-filtering recommender systems over a real supermarket dataset that exhibits both of the issues mentioned above. For this purpose, our comparative analysis encompasses batch and streaming learning approaches. As a result, we can observe that streaming-based models achieve better recommendation rates since these are tailored to fit the concept drift. More specifically, the predictive performance of streaming-based recommendations increases by up to 21% over those provided by batch methods. The supermarket dataset used in experimentation is also made publicly available for future studies and recommender systems comparisons.

Antônio David Viniski, Jean Paul Barddal, Alceu Souza Britto Jr, Fabrício Enembreck, Humberto Vinicius Aparecido de Campos

Expert Systems with Applications, 2021

A comprehensive comparison of end-to-end approaches for handwritten digit string recognition

Over the last decades, most approaches proposed for handwritten digit string recognition (HDSR) have resorted to digit segmentation, which is dominated by heuristics, thereby imposing substantial constraints on the final performance. Few of them have been based on segmentation-free strategies where each pixel column has a potential cut location. Recently, segmentation-free strategies has added another perspective to the problem, leading to promising results. However, these strategies still show some limitations when dealing with a large number of touching digits. To bridge the resulting gap, in this paper, we hypothesize that a string of digits can be approached as a sequence of objects. We thus evaluate different end-to-end approaches to solve the HDSR problem, particularly in two verticals: those based on object-detection (e.g., Yolo and RetinaNet) and those based on sequence-to-sequence representation (CRNN). The main contribution of this work lies in its provision of a comprehensive comparison with a critical analysis of the above mentioned strategies on five benchmarks commonly used to assess HDSR, including the challenging Touching Pair dataset, NIST SD19, and two real-world datasets (CAR and CVL) proposed for the ICFHR 2014 competition on HDSR. Our results show that the Yolo model compares favorably against segmentation-free models with the advantage of having a shorter pipeline that minimizes the presence of heuristics-based models. It achieved a 97%, 96%, and 84% recognition rate on the NIST-SD19, CAR, and CVL datasets, respectively.

Andre G. Hochuli, Alceu de Souza Britto Jr., David A. Saji, José M. Saavedra, Robert Sabourin, Luiz S. Oliveira

Expert Systems with Applications, 2021

 

Recent publications

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

2024

  1. 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
  2. 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
  3. Random forest kernel for high-dimension low sample size classification Cavalheiro, Lucca Portes, Bernard, Simon, Barddal, Jean Paul, and Heutte, Laurent Stat. Comput. 2024
  4. A Clustering-Based Computational Model to Group Students With Similar Programming Skills From Automatic Source Code Analysis Using Novel Features Silva, Davi Bernardo, Carvalho, Deborah Ribeiro, and Silla, Carlos N. IEEE Trans. Learn. Technol. 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. 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
  5. Bringing More Girls to STEM: Initiatives within the Frontiers in Education Conference Montingelli, Isabela M., Malucelli, Andreia, Reinehr, Sheila S., and Silla, Carlos N. In IEEE Frontiers in Education Conference, FIE 2023, College Station, TX, USA, October 18-21, 2023 2023
  6. Learning Game Programming Through Narrative, Sound Effects, and Music in Text-Based Games: A Creative Approach to Digital Game Education Moro, Gláucio H. M., Carvilhe, Cláudio, Paula, Bruno C., and Silla, Carlos N. In IEEE Frontiers in Education Conference, FIE 2023, College Station, TX, USA, October 18-21, 2023 2023
  7. 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
  8. 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
  9. 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
  10. 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
  11. 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
  12. 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
  13. Automatic Music Score Difficulty Classification Deconto, Diogo Steinke, Valenga, Erick Luiz Fontoura, and Silla, Carlos N. In 30th International Conference on Systems, Signals and Image Processing, IWSSIP 2023, Ohrid, North Macedonia, June 27-29, 2023 2023
  14. An Investigation of Different Positive and Negative Training Policies for the Task of Hierarchical Music Genre Classification Silva, Cinthya Oestreich, Suguiy, Renato Tateiwa, and Silla, Carlos N. In 30th International Conference on Systems, Signals and Image Processing, IWSSIP 2023, Ohrid, North Macedonia, June 27-29, 2023 2023
  15. Automatic Classification of Infant’s Cry Using Data Balancing and Hierarchical Classification Techniques Sudul, Matheus H. C., Lima Aguiar, Rafael, Costa, Yandre M. G., Brahnam, Sheryl, McMurtrey, Shannon, Nanni, Loris, 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. 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
  17. Music Recommendation System for Shared Environments Vitório, João 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
  18. 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
  19. 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
  20. A Large Comparison of Normalization Methods on Time Series Lima, Felipe Tomazelli, and Souza, Vinı́cius M. A. Big Data Res. 2023
  21. Advances on Concept Drift Detection in Regression Tasks using Social Networks Theory Barddal, Jean Paul, Gomes, Heitor Murilo, and Enembreck, Fabrı́cio CoRR 2023
  22. 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
  23. 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 CoRR 2023
  24. Random Forest Dissimilarity for High-Dimension Low Sample Size Classification Cavalheiro, Lucca Portes, Bernard, Simon, Barddal, Jean Paul, and Heutte, Laurent CoRR 2023
  25. 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
  26. 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
  27. 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
  28. 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
  29. 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
  30. 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. 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
  16. 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
  17. 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
  18. 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
  19. 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
  20. 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
  21. Ocular recognition databases and competitions: a survey Zanlorensi, Luiz A., Laroca, Rayson, Luz, Eduardo, Jr., Alceu S. Britto, Oliveira, Luiz S., and Menotti, David Artif. Intell. Rev. 2022
  22. 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
  23. Multiscale Analysis for Improving Texture Classification Ataky, Steve T. M., Saqui, Diego, Matos, Jonathan, Jr., Alceu S. Britto, and Koerich, Alessandro L. CoRR 2022
  24. Large-Margin Representation Learning for Texture Classification Matos, Jonathan, Oliveira, Luiz Eduardo Soares, Souza Britto Junior, Alceu, and Koerich, Alessandro Lameiras CoRR 2022
  25. 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
  26. 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
  27. 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
  28. 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
  29. 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
  30. 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
  31. Two-view fine-grained classification of plant species Araújo, Voncarlos M., Jr., Alceu S. Britto, Oliveira, Luiz S., and Koerich, Alessandro L. Neurocomputing 2022
  32. 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
  33. 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
  34. 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
  35. Toward Text Data Augmentation for Sentiment Analysis Abonizio, Hugo Queiroz, Paraiso, Emerson Cabrera, and Barbon, Sylvio IEEE Trans. Artif. Intell. 2022
  36. 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. Analyzing the Impact of Resampling Approaches on Chest X-Ray Images for COVID-19 Identification in a Local Hierarchical Classification Scenario Barros, Fábio K. H., Selleti, André L. Jeller, Queiroz, Vinı́cius A. P., Pereira, Rodolfo Miranda, and Silla, Carlos N. In 21st IEEE International Conference on Bioinformatics and Bioengineering, BIBE 2021, Kragujevac, Serbia, October 25-27, 2021 2021
  3. An Analysis of Feature Selection Techniques For COVID-19 Detection on Chest X-Ray Data Selleti, André L. Jeller, and Silla, Carlos N. In 21st IEEE International Conference on Bioinformatics and Bioengineering, BIBE 2021, Kragujevac, Serbia, October 25-27, 2021 2021
  4. 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
  5. 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
  6. 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
  7. Using Discord as an Extension of the Emergency Remote Teaching Classroom during the COVID-19 pandemic Moro, Gláucio H. M., Vermonde, Anderson, Mittelbach, Artur, Azevedo, Breno, Campagnolo, Bruno, Carvilhe, Cláudio, Filho, Jose G. Noronha, Perin, Mauricio, and Silla, Carlos N. In IEEE Frontiers in Education Conference, FIE 2021, Lincoln, NE, USA, October 13-16, 2021 2021
  8. Teaching Entrepreneurship for Computer Science and Engineering Students Using Active Learning Pedagogical Strategies Silla, Carlos N. In IEEE Frontiers in Education Conference, FIE 2021, Lincoln, NE, USA, October 13-16, 2021 2021
  9. 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
  10. 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
  11. 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
  12. 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
  13. 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
  14. 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
  15. 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
  16. 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
  17. 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
  18. 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
  19. 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
  20. 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
  21. 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
  22. 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
  23. 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
  24. 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
  25. Handling imbalance in hierarchical classification problems using local classifiers approaches Pereira, Rodolfo Miranda, Costa, Yandre M. G., and Silla, Carlos N. Data Min. Knowl. Discov. 2021
  26. A comprehensive comparison of end-to-end approaches for handwritten digit string recognition Hochuli, Andre G., Jr., Alceu S. Britto, Saji, David A., Saavedra, Jose M., Sabourin, Robert, and Oliveira, Luiz S. Expert Syst. Appl. 2021
  27. 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
  28. Toward hierarchical classification of imbalanced data using random resampling algorithms Pereira, Rodolfo Miranda, Costa, Yandre M. G., and Jr., Carlos Nascimento Silla Inf. Sci. 2021
  29. 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
  30. 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
  31. 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. Evaluation of students programming skills on a computer programming course with a hierarchical clustering algorithm Silva, Davi Bernardo, and Silla, Carlos N. In IEEE Frontiers in Education Conference, FIE 2020, Uppsala, Sweden, October 21-24, 2020 2020
  4. 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
  5. 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
  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. Multimodal Classification of Emotions in Latin Music Catharin, Leonardo Gabiato, Ribeiro, Rafael P., Silla, Carlos N., Costa, Yandre M. G., and Feltrim, Valéria Delisandra In IEEE International Symposium on Multimedia, ISM 2020, Naples, Italy, December 2-4, 2020 2020
  14. 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
  15. 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
  16. 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
  17. 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
  18. 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
  19. 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
  20. 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
  21. 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
  22. Regularized and incremental decision trees for data streams Barddal, Jean Paul, and Enembreck, Fabrı́cio Ann. des Télécommunications 2020
  23. 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
  24. 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
  25. 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
  26. COVID-19 identification in chest X-ray images on flat and hierarchical classification scenarios Pereira, Rodolfo Miranda, Bertolini, Diego, Teixeira, Lucas O., Jr., Carlos Nascimento Silla, and Costa, Yandre M. G. Comput. Methods Programs Biomed. 2020
  27. CNN Hyperparameter tuning applied to Iris Liveness Detection Kimura, Gabriela Y., Lucio, Diego Rafael, Jr., Alceu S. Britto, and Menotti, David CoRR 2020
  28. 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
  29. 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
  30. 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
  31. 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
  32. scikit-dyn2sel - A Dynamic Selection Framework for Data Streams Cavalheiro, Lucca Portes, Barddal, Jean Paul, Souza Britto Jr., Alceu, and Heutte, Laurent CoRR 2020
  33. A Comprehensive Comparison of End-to-End Approaches for Handwritten Digit String Recognition Hochuli, Andre G., Jr., Alceu S. Britto, Saji, David A., Saavedra, Jose M., Sabourin, Robert, and Oliveira, Luiz S. CoRR 2020
  34. UFPR-Periocular: A Periocular Dataset Collected by Mobile Devices in Unconstrained Scenarios Zanlorensi, Luiz A., 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. Ensemble of convolutional neural networks to improve animal audio classification Nanni, Loris, Costa, Yandre M. G., Lima Aguiar, Rafael, Mangolin, Rafael B., Brahnam, Sheryl, and Silla, Carlos N. EURASIP J. Audio Speech Music. Process. 2020
  37. Lessons learned from data stream classification applied to credit scoring Barddal, Jean Paul, Loezer, Lucas, Enembreck, Fabrı́cio, and Lanzuolo, Riccardo Expert Syst. Appl. 2020
  38. Deep representations for cross-spectral ocular biometrics Zanlorensi, Luiz A., Lucio, Diego Rafael, Souza Britto Junior, Alceu, Proença, Hugo, and Menotti, David IET Biom. 2020
  39. 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
  40. MLTL: A multi-label approach for the Tomek Link undersampling algorithm Pereira, Rodolfo Miranda, Costa, Yandre M. G., and Jr., Carlos Nascimento Silla Neurocomputing 2020
  41. OMR metrics and evaluation: a systematic review Mengarelli, Luciano, Kostiuk, Bruno, Vitório, João G., Tibola, Maicon A., Wolff, William, and Silla, Carlos N. Multim. Tools Appl. 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. 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
  3. Recent Studies About Teaching Algorithms (CS1) and Data Structures (CS2) for Computer Science Students Silva, Davi Bernardo, Lima Aguiar, Rafael, Dvconlo, Diogo Steinke, and Silla, Carlos N. In IEEE Frontiers in Education Conference, FIE 2019, Cincinnati, OH, USA, October 16-19, 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. Identification of Infants’ Cry Motivation Using Spectrograms Felipe, Gustavo Zanoni, Lima Aguiar, Rafael, Costa, Yandre M. G., Silla, Carlos N., Brahnam, Sheryl, Nanni, Loris, and McMurtrey, Shannon In International Conference on Systems, Signals and Image Processing, IWSSIP 2019, Osijek, Croatia, June 5-7, 2019 2019
  17. 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
  18. Data Augmentation and Transfer Learning Applied to Charcoal Image Classification Menon, Luciana T., 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
  19. 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
  20. 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
  21. 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
  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. Histopathologic Image Processing: A Review Matos, Jonathan, Souza Britto Jr., Alceu, Oliveira, Luiz E. S., and Koerich, Alessandro L. CoRR 2019
  25. 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
  26. Style Transfer Applied to Face Liveness Detection with User-Centered Models R., Israel A. Laurensi, Menon, Luciana T., N., Manoel Camillo O. Penna, Koerich, Alessandro L., and Jr., Alceu S. Britto CoRR 2019
  27. 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
  28. 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
  29. Deep Representations for Cross-spectral Ocular Biometrics Zanlorensi, Luiz A., Lucio, Diego Rafael, Jr., Alceu S. Britto, Proença, Hugo, and Menotti, David CoRR 2019
  30. Ocular Recognition Databases and Competitions: A Survey Zanlorensi, Luiz A., Laroca, Rayson, S. Luz, Eduardo José, Jr., Alceu S. Britto, Oliveira, Luiz S., and Menotti, David CoRR 2019
  31. 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
  32. 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
  33. 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
  34. Using Collective Behavior of Coupled Oscillators for Solving DCOP Leite, Allan Rodrigo, and Enembreck, Fabrı́cio J. Artif. Intell. Res. 2019
  35. 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
  36. Analysis of Spectral Sensing Using Angle-Time Cyclostationarity Souza, Pedro T. V. De, Souza, Vinicius, and Silveira, Luiz Felipe Q. Sensors 2019
  37. 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
  38. 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

2018

  1. Evaluating Stream Classifiers with Delayed Labels Information Souza, Vinicius, 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. Teaching Algorithms for Visually Impaired and Blind Students using Physical Flowcharts and Screen Readers Pereira, Rodolfo Miranda, Silva, Felippe Fernandes, and Silla, Carlos N. In IEEE Frontiers in Education Conference, FIE 2018, San Jose, CA, USA, October 3-6, 2018 2018
  10. Girls, Music and Computer Science Silla, Carlos N., Przybysz, Andre L., Rivolli, Andriano, Gimenez, Thayna, Barroso, Carolina, and Machado, Jessika In IEEE Frontiers in Education Conference, FIE 2018, San Jose, CA, USA, October 3-6, 2018 2018
  11. 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
  12. A Resampling Approach for Imbalanceness on Music Genre Classification using Spectrograms Valerio, Vinicius D., Pereira, Rodolfo Miranda, Costa, Yandre M. G., Bertolini, Diego, and Jr., Carlos Nascimento Silla In Proceedings of the Thirty-First International Florida Artificial Intelligence Research Society Conference, FLAIRS 2018, Melbourne, Florida, USA. May 21-23 2018 2018
  13. 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
  14. 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
  15. 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
  16. 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
  17. 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
  18. 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
  19. Dealing with Imbalanceness in Hierarchical Multi-Label Datasets Using Multi-Label Resampling Techniques Pereira, Rodolfo Miranda, Costa, Yandre Maldonado, and Jr., Carlos Nascimento Silla In IEEE 30th International Conference on Tools with Artificial Intelligence, ICTAI 2018, 5-7 November 2018, Volos, Greece 2018
  20. 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
  21. 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
  22. Exploring Data Augmentation to Improve Music Genre Classification with ConvNets Lima Aguiar, Rafael, Costa, Yandre M. G., and Jr., Carlos Nascimento Silla In 2018 International Joint Conference on Neural Networks, IJCNN 2018, Rio de Janeiro, Brazil, July 8-13, 2018 2018
  23. 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
  24. 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
  25. 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
  26. 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
  27. 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
  28. 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
  29. 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
  30. 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
  31. 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
  32. The Impact of Preprocessing on Deep Representations for Iris Recognition on Unconstrained Environments Zanlorensi, Luiz A., 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
  33. 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
  34. 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
  35. 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
  36. Segmentation-Free Approaches for Handwritten Numeral String Recognition Hochuli, Andre G., Oliveira, Luiz E. S., Jr., Alceu S. Britto, and Sabourin, Robert CoRR 2018
  37. 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
  38. Multi-label Classification of User Reactions in Online News Curi, Zacarias, Souza Britto Jr., Alceu, and Paraiso, Emerson Cabrera CoRR 2018
  39. Asphalt pavement classification using smartphone accelerometer and Complexity Invariant Distance Souza, Vinı́cius M. A. Eng. Appl. Artif. Intell. 2018
  40. Automatic classification of native wood charcoal Maruyama, Teruo M., Oliveira, Luiz Eduardo Soares, Souza Britto Jr., Alceu, and Nisgoski, Silvana Ecol. Informatics 2018
  41. 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
  42. Bird and whale species identification using sound images Nanni, Loris, Lima Aguiar, Rafael, Costa, Yandre M. G., Brahnam, Sheryl, Jr., Carlos Nascimento Silla, Brattin, Ricky L., and Zhao, Zhao IET Comput. Vis. 2018
  43. 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
  44. 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
  45. 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
  46. 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. Using simplified chords sequences to classify songs genres Pereira, Rodolfo Miranda, and Jr., Carlos Nascimento Silla In 2017 IEEE International Conference on Multimedia and Expo, ICME 2017, Hong Kong, China, July 10-14, 2017 2017
  10. 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
  11. BIRITS: A Music Information Retrieval System Using Query-by-Playing Techniques Martiniano, Lucas, and Silla, Carlos N. In 29th IEEE International Conference on Tools with Artificial Intelligence, ICTAI 2017, Boston, MA, USA, November 6-8, 2017 2017
  12. 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
  13. 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
  14. 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
  15. 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
  16. 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
  17. A Fuzzy-Based Approach for Selecting Technically Qualified Distributed Software Development Teams Souza, Vinicius, and Elias, Glêdson In Advances in Soft Computing - 16th Mexican International Conference on Artificial Intelligence, MICAI 2017, Enseneda, Mexico, October 23-28, 2017, Proceedings, Part I 2017
  18. 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
  19. 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
  20. 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
  21. An evaluation of Convolutional Neural Networks for music classification using spectrograms Costa, Yandre M. G., Oliveira, Luiz S., and Jr., Carlos Nascimento Silla Appl. Soft Comput. 2017
  22. 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
  23. 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
  24. A Survey on Ensemble Learning for Data Stream Classification Gomes, Heitor Murilo, Barddal, Jean Paul, Enembreck, Fabrı́cio, and Bifet, Albert ACM Comput. Surv. 2017
  25. 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
  26. 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
  27. 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
  28. 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
  29. Combining visual and acoustic features for audio classification tasks Nanni, Loris, Costa, Yandre M. G., Lucio, Diego Rafael, Jr., Carlos Nascimento Silla, and Brahnam, Sheryl Pattern Recognit. Lett. 2017