Gustavo E. A. P. A. Batista

88 papers A* 9A 4B 11C 11Misc 1Journal 26Unranked 26

Year	Rank	Type	Title / Venue / Authors
2022	—	`conf`	Geographic Context-Based Stacking Learning for Election Prediction from Socio-economic Data. BRACIS (1) Tiago Pinho da Silva, Antonio Rafael Sabino Parmezan, Gustavo E. A. P. A. Batista
2022	J	`jnl`	Hierarchical classification of pollinating flying insects under changing environments. Ecol. Informatics Antonio Rafael Sabino Parmezan, Vinícius M. A. de Souza, Arpita Seth, Indre Zliobaite, Gustavo E. A. P. A. Batista
2022	J	`jnl`	Time Series Prediction via Similarity Search: Exploring Invariances, Distance Measures and Ensemble Functions. IEEE Access Antonio Rafael Sabino Parmezan, Vinícius M. A. de Souza, Gustavo E. A. P. A. Batista
2021	C	`conf`	A Graph-Based Spatial Cross-Validation Approach for Assessing Models Learned with Selected Features to Understand Election Results. ICMLA Tiago Pinho da Silva, Antonio Rafael Sabino Parmezan, Gustavo E. A. P. A. Batista
2021	J	`jnl`	An Open-Source Tool for Classification Models in Resource-Constrained Hardware. CoRR Lucas Tsutsui da Silva, Vinícius M. A. de Souza, Gustavo E. A. P. A. Batista
2021	J	`jnl`	Analysing Spatio-Temporal Voting Patterns in Brazilian Elections Through a Simple Data Science Pipeline. J. Inf. Data Manag. L. H. M. Jacintho, Tiago Pinho da Silva, Antonio Rafael Sabino Parmezan, Gustavo E. A. P. A. Batista
2020	—	`conf`	A Combination of Local Approaches for Hierarchical Music Genre Classification. ISMIR Antonio Rafael Sabino Parmezan, Diego Furtado Silva, Gustavo E. A. P. A. Batista
2020	B	`conf`	Accurately Quantifying a Billion Instances per Second. DSAA Waqar Hassan, André Gustavo Maletzke, Gustavo E. A. P. A. Batista
2020	B	`conf`	Algorithm Recommendation for Data Streams. ICPR Jáder M. C. de Sá, André L. D. Rossi, Gustavo E. A. P. A. Batista, Luís Paulo F. Garcia
2020	J	`jnl`	Challenges in Benchmarking Stream Learning Algorithms with Real-world Data. CoRR Vinícius M. A. de Souza, Denis Moreira dos Reis, André Gustavo Maletzke, Gustavo E. A. P. A. Batista
2020	J	`jnl`	Challenges in benchmarking stream learning algorithms with real-world data. Data Min. Knowl. Discov. Vinícius M. A. de Souza, Denis Moreira dos Reis, André Gustavo Maletzke, Gustavo E. A. P. A. Batista
2020	J	`jnl`	Quantifying With Only Positive Training Data. CoRR Denis Moreira dos Reis, Marcílio de Souto, Elaine P. M. de Sousa, Gustavo E. A. P. A. Batista
2020	A*	`conf`	The Importance of the Test Set Size in Quantification Assessment. IJCAI André Gustavo Maletzke, Waqar Hassan, Denis Moreira dos Reis, Gustavo E. A. P. A. Batista
2019	A*	`conf`	DyS: A Framework for Mixture Models in Quantification. AAAI André Gustavo Maletzke, Denis Moreira dos Reis, Everton Alvares Cherman, Gustavo E. A. P. A. Batista
2019	B	`conf`	EmbML Tool: Supporting the use of Supervised Learning Algorithms in Low-Cost Embedded Systems. ICTAI Lucas Tsutsui da Silva, Vinícius M. A. de Souza, Gustavo E. A. P. A. Batista
2019	J	`jnl`	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. Inf. Sci. Antonio Rafael Sabino Parmezan, Vinícius M. A. de Souza, Gustavo E. A. P. A. Batista
2019	J	`jnl`	Fast Similarity Matrix Profile for Music Analysis and Exploration. IEEE Trans. Multim. Diego Furtado Silva, Chin-Chia Michael Yeh, Yan Zhu, Gustavo E. A. P. A. Batista, Eamonn J. Keogh
2018	A*	`conf`	Classifying and Counting with Recurrent Contexts. KDD Denis Moreira dos Reis, André Gustavo Maletzke, Diego Furtado Silva, Gustavo E. A. P. A. Batista
2018	J	`jnl`	Combining instance selection and self-training to improve data stream quantification. J. Braz. Comput. Soc. André Gustavo Maletzke, Denis Moreira dos Reis, Gustavo E. A. P. A. Batista
2018	C	`conf`	Elastic Time Series Motifs and Discords. ICMLA Diego Furtado Silva, Gustavo E. A. P. A. Batista
2018	—	`conf`	Evaluating Stream Classifiers with Delayed Labels Information. BRACIS Vinícius M. A. de Souza, Tiago Pinho da Silva, Gustavo E. A. P. A. Batista
2018	—	`conf`	On the Need of Class Ratio Insensitive Drift Tests for Data Streams. LIDTA@ECML/PKDD André Gustavo Maletzke, Denis Moreira dos Reis, Everton Alvares Cherman, Gustavo E. A. P. A. Batista
2018	J	`jnl`	Speeding up similarity search under dynamic time warping by pruning unpromising alignments. Data Min. Knowl. Discov. Diego Furtado Silva, Rafael Giusti, Eamonn J. Keogh, Gustavo E. A. P. A. Batista
2018	C	`conf`	Towards Hierarchical Classification of Data Streams. CIARP Antonio Rafael Sabino Parmezan, Vinícius M. A. de Souza, Gustavo E. A. P. A. Batista
2018	Misc	`conf`	Unsupervised context switch for classification tasks on data streams with recurrent concepts. SAC Denis Moreira dos Reis, André Gustavo Maletzke, Gustavo E. A. P. A. Batista
2017	—	`conf`	Quantification in Data Streams: Initial Results. BRACIS André Gustavo Maletzke, Denis Moreira dos Reis, Gustavo E. A. P. A. Batista
2017	J	`jnl`	Unsupervised active learning techniques for labeling training sets: An experimental evaluation on sequential data. Intell. Data Anal. Vinícius Mourão Alves de Souza, Rafael Geraldeli Rossi, Gustavo E. A. P. A. Batista, Solange O. Rezende
2016	B	`conf`	Constrained Local and Global Consistency for semi-supervised learning. ICPR Celso André R. de Sousa, Gustavo E. A. P. A. Batista
2016	A*	`conf`	Fast Unsupervised Online Drift Detection Using Incremental Kolmogorov-Smirnov Test. KDD Denis Moreira dos Reis, Peter A. Flach, Stan Matwin, Gustavo E. A. P. A. Batista
2016	C	`conf`	Improved Time Series Classification with Representation Diversity and SVM. ICMLA Rafael Giusti, Diego Furtado Silva, Gustavo E. A. P. A. Batista
2016	A*	`conf`	Prefix and Suffix Invariant Dynamic Time Warping. ICDM Diego Furtado Silva, Gustavo E. A. P. A. Batista, Eamonn J. Keogh
2016	—	`conf`	SiMPle: Assessing Music Similarity Using Subsequences Joins. ISMIR Diego Furtado Silva, Chin-Chia Michael Yeh, Gustavo E. A. P. A. Batista, Eamonn J. Keogh
2016	A	`conf`	Speeding Up All-Pairwise Dynamic Time Warping Matrix Calculation. SDM Diego Furtado Silva, Gustavo E. A. P. A. Batista
2015	C	`conf`	A Study of the Use of Complexity Measures in the Similarity Search Process Adopted by kNN Algorithm for Time Series Prediction. ICMLA Antonio Rafael Sabino Parmezan, Gustavo E. A. P. A. Batista
2015	B	`conf`	An experimental analysis on time series transductive classification on graphs. IJCNN Celso André R. de Sousa, Vinícius M. A. de Souza, Gustavo E. A. P. A. Batista
2015	B	`conf`	Automatic classification of drum sounds with indefinite pitch. IJCNN Vinícius M. A. de Souza, Gustavo E. A. P. A. Batista, Nilson E. Souza-Filho
2015	J	`jnl`	Class imbalance revisited: a new experimental setup to assess the performance of treatment methods. Knowl. Inf. Syst. Ronaldo C. Prati, Gustavo E. A. P. A. Batista, Diego Furtado Silva
2015	C	`conf`	Classification of Evolving Data Streams with Infinitely Delayed Labels. ICMLA Vinícius M. A. de Souza, Diego Furtado Silva, Gustavo E. A. P. A. Batista, João Gama
2015	A	`conf`	Data Stream Classification Guided by Clustering on Nonstationary Environments and Extreme Verification Latency. SDM Vinícius M. A. de Souza, Diego Furtado Silva, João Gama, Gustavo E. A. P. A. Batista
2015	J	`jnl`	ENIAC 2013 Special Issue. J. Intell. Robotic Syst. Gustavo E. A. P. A. Batista, Myriam Regattieri Delgado, Flávia Cristina Bernardini
2015	B	`conf`	Effective insect recognition using a stacked autoencoder with maximum correntropy criterion. IJCNN Yu Qi, Goktug T. Cinar, Vinícius M. A. de Souza, Gustavo E. A. P. A. Batista, Yueming Wang, José C. Príncipe
2015	J	`jnl`	Exploring Low Cost Laser Sensors to Identify Flying Insect Species - Evaluation of Machine Learning and Signal Processing Methods. J. Intell. Robotic Syst. Diego Furtado Silva, Vinícius M. A. de Souza, Daniel P. W. Ellis, Eamonn J. Keogh, Gustavo E. A. P. A. Batista
2015	—	`conf`	IGMM-CD: A Gaussian Mixture Classification Algorithm for Data Streams with Concept Drifts. BRACIS Luan Soares Oliveira, Gustavo E. A. P. A. Batista
2015	—	`conf`	Music Shapelets for Fast Cover Song Recognition. ISMIR Diego Furtado Silva, Vinícius M. A. de Souza, Gustavo E. A. P. A. Batista
2015	B	`conf`	Time Series Classification with Representation Ensembles. IDA Rafael Giusti, Diego Furtado Silva, Gustavo E. A. P. A. Batista
2014	C	`conf`	Adding Diversity to Rank Examples in Anytime Nearest Neighbor Classification. ICMLA Cristiano Inácio Lemes, Diego Furtado Silva, Gustavo E. A. P. A. Batista
2014	J	`jnl`	CID: an efficient complexity-invariant distance for time series. Data Min. Knowl. Discov. Gustavo E. A. P. A. Batista, Eamonn J. Keogh, Oben Moses Tataw, Vinícius M. A. de Souza
2014	J	`jnl`	Coping with highly imbalanced datasets: A case study with definition extraction in a multilingual setting. Nat. Lang. Eng. Rosa Del Gaudio, Gustavo E. A. P. A. Batista, António Branco
2014	B	`conf`	Extracting Texture Features for Time Series Classification. ICPR Vinícius M. A. de Souza, Diego Furtado Silva, Gustavo E. A. P. A. Batista
2014	J	`jnl`	Flying Insect Classification with Inexpensive Sensors. CoRR Yanping Chen, Adena Why, Gustavo E. A. P. A. Batista, Agenor Mafra-Neto, Eamonn J. Keogh
2014	B	`conf`	Time Series Transductive Classification on Imbalanced Data Sets: An Experimental Study. ICPR Celso André R. de Sousa, Vinícius M. A. de Souza, Gustavo E. A. P. A. Batista
2013	J	`jnl`	Addressing Big Data Time Series: Mining Trillions of Time Series Subsequences Under Dynamic Time Warping. ACM Trans. Knowl. Discov. Data Thanawin Rakthanmanon, Bilson J. L. Campana, Abdullah Mueen, Gustavo E. A. P. A. Batista, M. Brandon Westover, Qiang Zhu, Jesin Zakaria, Eamonn J. Keogh
2013	—	`conf`	An Empirical Comparison of Dissimilarity Measures for Time Series Classification. BRACIS Rafael Giusti, Gustavo E. A. P. A. Batista
2013	—	`conf`	Applying Machine Learning and Audio Analysis Techniques to Insect Recognition in Intelligent Traps. ICMLA (1) Diego Furtado Silva, Vinícius M. A. de Souza, Gustavo E. A. P. A. Batista, Eamonn J. Keogh, Daniel P. W. Ellis
2013	—	`conf`	Classification of Data Streams Applied to Insect Recognition: Initial Results. BRACIS Vinícius M. A. de Souza, Diego Furtado Silva, Gustavo E. A. P. A. Batista
2013	A*	`conf`	DTW-D: time series semi-supervised learning from a single example. KDD Yanping Chen, Bing Hu, Eamonn J. Keogh, Gustavo E. A. P. A. Batista
2013	—	`conf`	Influence of Graph Construction on Semi-supervised Learning. ECML/PKDD (3) Celso André R. de Sousa, Solange O. Rezende, Gustavo E. A. P. A. Batista
2013	A*	`conf`	Time Series Classification Using Compression Distance of Recurrence Plots. ICDM Diego Furtado Silva, Vinícius M. A. de Souza, Gustavo E. A. P. A. Batista
2012	J	`jnl`	A Complexity-Invariant Measure Based on Fractal Dimension for Time Series Classification. Int. J. Nat. Comput. Res. Ronaldo C. Prati, Gustavo E. A. P. A. Batista
2012	A	`conf`	A Novel Approximation to Dynamic Time Warping allows Anytime Clustering of Massive Time Series Datasets. SDM Qiang Zhu, Gustavo E. A. P. A. Batista, Thanawin Rakthanmanon, Eamonn J. Keogh
2012	A*	`conf`	Searching and mining trillions of time series subsequences under dynamic time warping. KDD Thanawin Rakthanmanon, Bilson J. L. Campana, Abdullah Mueen, Gustavo E. A. P. A. Batista, M. Brandon Westover, Qiang Zhu, Jesin Zakaria, Eamonn J. Keogh
2012	—	`conf`	Spoken Digit Recognition in Portuguese Using Line Spectral Frequencies. IBERAMIA Diego Furtado Silva, Vinícius M. A. de Souza, Gustavo E. A. P. A. Batista, Rafael Giusti
2011	A	`conf`	A Complexity-Invariant Distance Measure for Time Series. SDM Gustavo E. A. P. A. Batista, Xiaoyue Wang, Eamonn J. Keogh
2011	J	`jnl`	A Survey on Graphical Methods for Classification Predictive Performance Evaluation. IEEE Trans. Knowl. Data Eng. Ronaldo C. Prati, Gustavo E. A. P. A. Batista, Maria Carolina Monard
2011	J	`jnl`	A hybrid approach to learn with imbalanced classes using evolutionary algorithms. Log. J. IGPL Claudia Regina Milaré, Gustavo E. A. P. A. Batista, André C. P. L. F. de Carvalho
2011	A*	`conf`	SIGKDD demo: sensors and software to allow computational entomology, an emerging application of data mining. KDD Gustavo E. A. P. A. Batista, Eamonn J. Keogh, Agenor Mafra-Neto, Edgar Rowton
2011	—	`conf`	Towards Automatic Classification on Flying Insects Using Inexpensive Sensors. ICMLA (1) Gustavo E. A. P. A. Batista, Yuan Hao, Eamonn J. Keogh, Agenor Mafra-Neto
2010	J	`jnl`	A Study of the Influence of Rule Measures in Classifiers Induced by Evolutionary Algorithms. IEEE Intell. Informatics Bull. Claudia Regina Milaré, Gustavo E. A. P. A. Batista, André C. P. L. F. de Carvalho
2010	C	`conf`	Classification of Live Moths Combining Texture, Color and Shape Primitives. ICMLA Gustavo E. A. P. A. Batista, Bilson J. L. Campana, Eamonn J. Keogh
2010	C	`conf`	Discovering Knowledge Rules with Multi-Objective Evolutionary Computing. ICMLA Rafael Giusti, Gustavo E. A. P. A. Batista
2009	—	`conf`	Data mining with imbalanced class distributions: concepts and methods. IICAI Ronaldo C. Prati, Gustavo E. A. P. A. Batista, Maria Carolina Monard
2008	—	`conf`	A Study with Class Imbalance and Random Sampling for a Decision Tree Learning System. IFIP AI Ronaldo C. Prati, Gustavo E. A. P. A. Batista, Maria Carolina Monard
2008	C	`conf`	Evaluating Ranking Composition Methods for Multi-Objective Optimization of Knowledge Rules. HIS Rafael Giusti, Gustavo E. A. P. A. Batista, Ronaldo Cristiano Prati
2008	—	`conf`	Missing Value Imputation Using a Semi-supervised Rank Aggregation Approach. SBIA Edson Takashi Matsubara, Ronaldo C. Prati, Gustavo E. A. P. A. Batista, Maria Carolina Monard
2006	J	`jnl`	A Comparison of Methods for Rule Subset Selection Applied to Associative Classification. Inteligencia Artif. Gustavo E. A. P. A. Batista, Claudia Regina Milaré, Ronaldo Cristiano Prati, Maria Carolina Monard
2005	B	`conf`	Balancing Strategies and Class Overlapping. IDA Gustavo E. A. P. A. Batista, Ronaldo C. Prati, Maria Carolina Monard
2005	—	`conf`	Multi-view Semi-supervised Learning: An Approach to Obtain Different Views from Text Datasets. LAPTEC Edson Takashi Matsubara, Maria Carolina Monard, Gustavo E. A. P. A. Batista
2004	J	`jnl`	A study of the behavior of several methods for balancing machine learning training data. SIGKDD Explor. Gustavo E. A. P. A. Batista, Ronaldo C. Prati, Maria Carolina Monard
2004	—	`conf`	Applying Genetic and Symbolic Learning Algorithms to Extract Rules from Artificial Neural Networks. MICAI Claudia Regina Milaré, Gustavo E. A. P. A. Batista, André Carlos Ponce de Leon Ferreira de Carvalho, Maria Carolina Monard
2004	—	`conf`	Class Imbalances versus Class Overlapping: An Analysis of a Learning System Behavior. MICAI Ronaldo C. Prati, Gustavo E. A. P. A. Batista, Maria Carolina Monard
2004	—	`conf`	Improving Rule Induction Precision for Automated Annotation by Balancing Skewed Data Sets. KELSI Gustavo E. A. P. A. Batista, Maria Carolina Monard, Ana L. C. Bazzan
2004	—	`conf`	Learning with Class Skews and Small Disjuncts. SBIA Ronaldo C. Prati, Gustavo E. A. P. A. Batista, Maria Carolina Monard
2003	J	`jnl`	An Analysis of Four Missing Data Treatment Methods for Supervised Learning. Appl. Artif. Intell. Gustavo E. A. P. A. Batista, Maria Carolina Monard
2003	—	`conf`	Balancing Training Data for Automated Annotation of Keywords: a Case Study. WOB Gustavo E. A. P. A. Batista, Ana L. C. Bazzan, Maria Carolina Monard
2002	C	`conf`	A Study of K-Nearest Neighbour as an Imputation Method. HIS Gustavo E. A. P. A. Batista, Maria Carolina Monard
2002	—	`conf`	Splice Junction Recognition using Machine Learning Techniques. WOB Ana Carolina Lorena, Gustavo E. A. P. A. Batista, André Carlos Ponce de Leon Ferreira de Carvalho, Maria Carolina Monard
2002	—	`conf`	The Influence of Noisy Patterns in the Performance of Learning Methods in the Splice Junction Recognition Problem. SBRN Ana Carolina Lorena, Gustavo E. A. P. A. Batista, André Carlos Ponce de Leon Ferreira de Carvalho, Maria Carolina Monard
2000	—	`conf`	Applying One-Sided Selection to Unbalanced Datasets. MICAI Gustavo E. A. P. A. Batista, André Carlos Ponce de Leon Ferreira de Carvalho, Maria Carolina Monard