Select Publications

Conference Papers

Sharma A; Li J; Mishra D; Batista G; Seneviratne A, 2021, 'Passive WiFi CSI Sensing Based Machine Learning Framework for COVID-Safe Occupancy Monitoring', in 2021 IEEE International Conference on Communications Workshops, ICC Workshops 2021 - Proceedings, IEEE, presented at 2021 IEEE International Conference on Communications Workshops (ICC Workshops), 14 June 2021 - 23 June 2021, http://dx.doi.org/10.1109/ICCWorkshops50388.2021.9473673

Rebello G; Hu Y; Thilakarathna K; Batista G; Seneviratne A; Duarte OCMB, 2020, 'Melhorando a Acurácia da Detecção de Lavagem de Dinheiro na Rede Bitcoin', in Anais XXXVIII Simpósio Brasileiro de Redes de Computadores e Sistemas Distribuídos (SBRC 2020), Sociedade Brasileira de Computação, presented at Simpósio Brasileiro de Redes de Computadores e Sistemas Distribuídos, http://dx.doi.org/10.5753/sbrc.2020.12321

Jacintho LHM; Da Silva TP; Parmezan ARS; Batista GEDAPA, 2020, 'Brazilian Presidential Elections: Analysing Voting Patterns in Time and Space Using a Simple Data Science Pipeline', in Anais do Symposium on Knowledge Discovery, Mining and Learning (KDMiLe 2020), Sociedade Brasileira de Computação, presented at Symposium on Knowledge Discovery, Mining and Learning, http://dx.doi.org/10.5753/kdmile.2020.11979

Hassan W; Maletzke A; Batista G, 2020, 'Accurately quantifying a billion instances per second', in Proceedings - 2020 IEEE 7th International Conference on Data Science and Advanced Analytics, DSAA 2020, pp. 1 - 10, http://dx.doi.org/10.1109/DSAA49011.2020.00012

de Sá JMC; Rossi ALD; Batista GEAPA; Garcia LPF, 2020, 'Algorithm recommendation for data streams', in Proceedings - International Conference on Pattern Recognition, IEEE, pp. 6073 - 6080, presented at 2020 25th International Conference on Pattern Recognition (ICPR), 10 January 2021 - 15 January 2021, http://dx.doi.org/10.1109/ICPR48806.2021.9411923

Maletzke A; Hassan W; dos Reis D; Batista G, 2020, 'The Importance of the Test Set Size in Quantification Assessment', in IJCAI, IJCAI, YOKOHAMA, pp. 2640 - 2646, presented at Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence Main track, YOKOHAMA, http://dx.doi.org/10.24963/ijcai.2020/366

Tsutsui Da Silva L; Souza VMA; Batista GEAPA, 2019, 'EmbML Tool: Supporting the use of supervised learning algorithms in low-cost embedded systems', in Proceedings - International Conference on Tools with Artificial Intelligence, ICTAI, pp. 1633 - 1637, http://dx.doi.org/10.1109/ICTAI.2019.00238

Maletzke A; dos Reis D; Cherman E; Batista G, 2019, 'DyS: a Framework for Mixture Models in Quantification', in Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19)

Souza V; Pinho T; Batista G, 2018, 'Evaluating stream classifiers with delayed labels information', in Proceedings - 2018 Brazilian Conference on Intelligent Systems, BRACIS 2018, pp. 408 - 413, http://dx.doi.org/10.1109/BRACIS.2018.00077

dos Reis D; Maletzke A; Cherman E; Batista G, 2018, 'One-class quantification', in Joint European Conference on Machine Learning and Knowledge Discovery in Databases, Springer, Dublin, Ireland, pp. 273 - 289, presented at ECML PKDD 2018, Dublin, Ireland, 10 September 2018 - 14 September 2018, http://dx.doi.org/10.1007/978-3-030-10925-7

Silva DF; Batista GEAPA; Keogh E, 2018, 'Large-Scale Similarity-Based Time Series Mining', in Anais do Concurso de Teses e Dissertações da SBC (CTD-SBC), Sociedade Brasileira de Computação - SBC, presented at XXXI Concurso de Teses e Dissertações da SBC, http://dx.doi.org/10.5753/ctd.2018.3656

da Silva TP; Souza VMA; Batista GEAPA; de Arruda Camargo H, 2018, 'A Fuzzy Classifier for Data Streams with Infinitely Delayed Labels', in 23rd Iberoamerican Congress on Pattern Recognition (CIARP)

Moreira dos Reis D; Maletzke A; Silva DF; Batista GEAPA, 2018, 'Classifying and counting with recurrent contexts', in Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, pp. 1983 - 1992

Silva DF; Batista GEAPA, 2018, 'Elastic time series motifs and discords', in 2018 17th IEEE International Conference on Machine Learning and Applications (ICMLA), IEEE, pp. 237 - 242, IEEE

Maletzke A; dos Reis D; Cherman E; Batista G, 2018, 'On the Need of Class Ratio Insensitive Drift Tests for Data Streams', in Second International Workshop on Learning with Imbalanced Domains: Theory and Applications, pp. 110 - 124

Parmezan ARS; Souza VMA; Batista GEAPA, 2018, 'Towards Hierarchical Classification of Data Streams', in 23rd Iberoamerican Congress on Pattern Recognition (CIARP), pp. 314 - 322

dos Reis DM; Maletzke AG; Batista GEAPA, 2018, 'Unsupervised context switch for classification tasks on data streams with recurrent concepts', in Proceedings of the 33rd Annual ACM Symposium on Applied Computing, pp. 518 - 524

Maletzke AG; dos Reis DM; Batista GEAPA, 2017, 'Quantification in data streams: Initial results', in 2017 Brazilian Conference on Intelligent Systems (BRACIS), IEEE, pp. 43 - 48, IEEE

Giusti R; Silva DF; Batista GEAPA, 2016, 'Improved Time Series Classification with Representation Diversity and SVM', in 2016 15th IEEE International Conference on Machine Learning and Applications (ICMLA), IEEE, presented at 2016 15th IEEE International Conference on Machine Learning and Applications (ICMLA), 18 December 2016 - 20 December 2016, http://dx.doi.org/10.1109/icmla.2016.0010

Silva DF; Batista GEAPA; Keogh E, 2016, 'Prefix and Suffix Invariant Dynamic Time Warping', in 2016 IEEE 16th International Conference on Data Mining (ICDM), IEEE, presented at 2016 IEEE 16th International Conference on Data Mining (ICDM), 12 December 2016 - 15 December 2016, http://dx.doi.org/10.1109/icdm.2016.0161

Silva DF; Yeh CCM; Batista GEAPA; Keogh E, 2016, 'SiMPle: Assessing music similarity using subsequences joins', in Proceedings of the 17th International Society for Music Information Retrieval Conference, ISMIR 2016, pp. 23 - 29

Sousa CAR; Batista GEAPA, 2016, 'Constrained Local and Global Consistency for semi-supervised learning', in 2016 23rd International Conference on Pattern Recognition (ICPR), IEEE, pp. 1689 - 1694, IEEE

dos Reis DM; Flach P; Matwin S; Batista G, 2016, 'Fast unsupervised online drift detection using incremental kolmogorov-smirnov test', in Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 1545 - 1554

Giusti R; Silva DF; Batista GEAPA, 2016, 'Improved time series classification with representation diversity and svm', in 2016 15th IEEE International Conference on Machine Learning and Applications (ICMLA), IEEE, pp. 1 - 6, IEEE

Silva DF; Batista GEAPA; Keogh E; others , 2016, 'On the effect of endpoints on dynamic time warping', in SIGKDD Workshop on Mining and Learning from Time Series II, San Francisco, CA. Association for Computing Machinery-ACM

Silva DF; Batista GEAPA; Keogh E, 2016, 'Prefix and suffix invariant dynamic time warping', in 2016 IEEE 16th International Conference on Data Mining (ICDM), IEEE, pp. 1209 - 1214, IEEE

Silva DF; Batista GEAPA, 2016, 'Speeding up all-pairwise dynamic time warping matrix calculation', in Proceedings of the 2016 SIAM International Conference on Data Mining, Society for Industrial and Applied Mathematics, pp. 837 - 845, Society for Industrial and Applied Mathematics

Parmezan ARS; Batista GEAPA, 2015, 'A study of the use of complexity measures in the similarity search process adopted by knn algorithm for time series prediction', in 2015 IEEE 14th International Conference on Machine Learning and Applications (ICMLA), IEEE, pp. 45 - 51, IEEE

de Sousa CAR; Souza VMA; Batista GEAPA, 2015, 'An experimental analysis on time series transductive classification on graphs', in 2015 International Joint Conference on Neural Networks (IJCNN), IEEE, pp. 1 - 8, IEEE

Souza VMA; Batista GEAPA; Souza-Filho NE, 2015, 'Automatic classification of drum sounds with indefinite pitch', in 2015 International Joint Conference on Neural Networks (IJCNN), IEEE, pp. 1 - 8, IEEE

Souza VMA; Silva DF; Batista GEAPA; Gama J, 2015, 'Classification of Evolving Data Streams with Infinitely Delayed Labels', in IEEE International Conference on Machine Learning & Applications (ICMLA), pp. 214 - 219

Souza VMA; Silva DF; Gama JA; Batista GEAPA, 2015, 'Data Stream Classification Guided by Clustering on Nonstationary Environments and Extreme Verification Latency', in SIAM International Conference on Data Mining (SDM), pp. 873 - 881

Qi Y; Cinar GT; Souza VMA; Batista GEAPA; Wang Y; Principe JC, 2015, 'Effective insect recognition using a stacked autoencoder with maximum correntropy criterion', in 2015 International Joint Conference on Neural Networks (IJCNN), IEEE, pp. 1 - 7, IEEE

Oliveira LS; Batista GEAPA, 2015, 'Igmm-cd: a gaussian mixture classification algorithm for data streams with concept drifts', in 2015 Brazilian Conference on Intelligent Systems (BRACIS), IEEE, pp. 55 - 61, IEEE

Silva DF; de Souza VMA; Batista GEAPA, 2015, 'Music Shapelets for Fast Cover Song Recognition.', in ISMIR, pp. 441 - 447

de Sousa AR; Batista GEAPA, 2015, 'Robust multi-class graph transduction with higher order regularization', in 2015 International Joint Conference on Neural Networks (IJCNN), IEEE, pp. 1 - 8, IEEE

Giusti R; Silva DF; Batista GEAPA, 2015, 'Time series classification with representation ensembles', in International Symposium on Intelligent Data Analysis, Springer, Cham, pp. 108 - 119, Springer, Cham

Lemes CI; Silva DF; Batista GEAPA, 2014, 'Adding diversity to rank examples in anytime nearest neighbor classification', in 2014 13th International Conference on Machine Learning and Applications, IEEE, pp. 129 - 134, IEEE

Souza VMA; Silva DF; Batista GEAPA, 2014, 'Extracting texture features for time series classification', in 2014 22nd International Conference on Pattern Recognition, IEEE, pp. 1425 - 1430, IEEE

Silva DF; Rossi RG; Rezende SO; Batista GEAPA, 2014, 'Music Classification by Transductive Learning Using Bipartite Heterogeneous Networks', in International Society of Music Information Retrieval Conference (ISMIR)

de Sousa CAR; Souza VMA; Batista GEAPA, 2014, 'Time series transductive classification on imbalanced data sets: an experimental study', in 2014 22nd International Conference on Pattern Recognition, IEEE, pp. 3780 - 3785, IEEE

Maletzke AG; Lee HD; Batista GEAPA; Rezende SO; Machado RB; Voltolini RF; Maciel JN; Silva F, 2013, 'Time Series Classification using Motifs and Characteristics Extraction: A Case Study on ECG Databases', in Procedings of the Fourth International Workshop on Knowledge Discovery, Knowledge Management and Decision Support, Atlantis Press, presented at Fourth International Workshop on Knowledge Discovery, Knowledge Management and Decision Support, 06 November 2013 - 08 November 2013, http://dx.doi.org/10.2991/.2013.40

Domingues MA; Cherman EA; Nogueira BM; Conrado MS; Rossi RG; De Padua R; Marcacini RM; Souza VMA; Batista GEAPA; Rezende SO, 2013, 'A comparative study of algorithms for recommending given names', in 2013 2nd International Conference on Informatics and Applications, ICIA 2013, pp. 66 - 71, http://dx.doi.org/10.1109/ICoIA.2013.6650231

Domingues MA; Marcacini RM; Rezende SO; Batista GEAPA, 2013, 'Improving the recommendation of given names by using contextual information', in CEUR Workshop Proceedings, pp. 61 - 72

Silva D; Papadopoulos H; Batista GEAPA; Ellis DPW, 2013, 'A video compression-based approach to measure music structural similarity', in International Society for Music Information Retrieval Conference, pp. 95 - 10

Giusti R; Batista GEAPA, 2013, 'An empirical comparison of dissimilarity measures for time series classification', in 2013 Brazilian Conference on Intelligent Systems, IEEE, pp. 82 - 88, IEEE

Silva DF; De Souza VMA; Batista GEAPA; Keogh E; Ellis DPW, 2013, 'Applying machine learning and audio analysis techniques to insect recognition in intelligent traps', in 2013 12th International Conference on Machine Learning and Applications, IEEE, pp. 99 - 104, IEEE

de Souza VMA; Silva DF; Batista GEAPA, 2013, 'Classification of data streams applied to insect recognition: Initial results', in 2013 Brazilian Conference on Intelligent Systems, IEEE, pp. 76 - 81, IEEE

Rakthanmanon T; Keogh E, 2013, 'Data mining a trillion time series subsequences under dynamic time warping', in Twenty-Third International Joint Conference on Artificial Intelligence

Chen Y; Hu B; Keogh E; Batista GEAPA, 2013, 'DTW-D: time series semi-supervised learning from a single example', in Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining, pp. 383 - 391


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