Gustavo Batista
Orcid: 0000-0002-3482-8442Affiliations:
- University of New South Wales, Sydney, Australia
- University of Sao Paulo, Brazil (former)
According to our database1,
Gustavo Batista
authored at least 127 papers
between 2000 and 2025.
Collaborative distances:
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Bibliography
2025
FastFlow: Early Yet Robust Network Flow Classification using the Minimal Number of Time-Series Packets.
Proc. ACM Meas. Anal. Comput. Syst., 2025
Neurocomputing, 2025
Pedestrian trajectory prediction using goal-driven and dynamics-based deep learning framework.
Expert Syst. Appl., 2025
Appl. Soft Comput., 2025
<i>FastFlow</i>: Early Yet Robust Network Flow Classification using the Minimal Number of Time-Series Packets.
Proceedings of the Abstracts of the 2025 ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems, 2025
Proceedings of the 2025 SIAM International Conference on Data Mining, 2025
Revisit Time Series Classification Benchmark: The Impact of Temporal Information for Classification.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2025
Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025
Nosy Layers, Noisy Fixes: Tackling DRAs in Federated Learning Systems using Explainable AI.
Proceedings of the 20th ACM Asia Conference on Computer and Communications Security, 2025
Proceedings of the 2025 Australasian Computer Science Week, 2025
2024
Efficient IoT Traffic Inference: From Multi-view Classification to Progressive Monitoring.
ACM Trans. Internet Things, February, 2024
IEEE Trans. Knowl. Data Eng., 2024
CoRR, 2024
CoRR, 2024
Proceedings of the 17th International Conference on Security of Information and Networks, 2024
Poster: Understanding and Managing Changes in IoT Device Behaviors for Reliable Network Traffic Inference.
Proceedings of the ACM SIGCOMM 2024 Conference: Posters and Demos, 2024
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024
Proceedings of the IEEE International Conference on Robotics and Automation, 2024
Proceedings of the 20th International Conference on Distributed Computing in Smart Systems and the Internet of Things, 2024
Proceedings of the AI 2024: Advances in Artificial Intelligence, 2024
2023
Dynamic Inference From IoT Traffic Flows Under Concept Drifts in Residential ISP Networks.
IEEE Internet Things J., September, 2023
Detecting Anomalous Microflows in IoT Volumetric Attacks via Dynamic Monitoring of MUD Activity.
CoRR, 2023
Quantifying and Managing Impacts of Concept Drifts on IoT Traffic Inference in Residential ISP Networks.
CoRR, 2023
Proceedings of the 2023 SIAM International Conference on Data Mining, 2023
Ensembles of Classifiers and Quantifiers with Data Fusion for Quantification Learning.
Proceedings of the Discovery Science - 26th International Conference, 2023
2022
Hierarchical classification of pollinating flying insects under changing environments.
Ecol. Informatics, 2022
AdIoTack: Quantifying and refining resilience of decision tree ensemble inference models against adversarial volumetric attacks on IoT networks.
Comput. Secur., 2022
Time Series Prediction via Similarity Search: Exploring Invariances, Distance Measures and Ensemble Functions.
IEEE Access, 2022
Classifying Time-Series of IoT Flow Activity using Deep Learning and Intransitive Features.
Proceedings of the 14th International Conference on Software, 2022
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022
Geographic Context-Based Stacking Learning for Election Prediction from Socio-economic Data.
Proceedings of the Intelligent Systems - 11th Brazilian Conference, 2022
2021
COVID-Safe Spatial Occupancy Monitoring Using OFDM-Based Features and Passive WiFi Samples.
ACM Trans. Manag. Inf. Syst., 2021
Analysing Spatio-Temporal Voting Patterns in Brazilian Elections Through a Simple Data Science Pipeline.
J. Inf. Data Manag., 2021
CoRR, 2021
A Graph-Based Spatial Cross-Validation Approach for Assessing Models Learned with Selected Features to Understand Election Results.
Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021
Proceedings of the IEEE International Conference on Data Mining, 2021
Passive WiFi CSI Sensing Based Machine Learning Framework for COVID-Safe Occupancy Monitoring.
Proceedings of the IEEE International Conference on Communications Workshops, 2021
Proceedings of the CIKM 2021 Workshops co-located with 30th ACM International Conference on Information and Knowledge Management (CIKM 2021), 2021
2020
Data Min. Knowl. Discov., 2020
Proceedings of the XXXVIII Brazilian Symposium on Computer Networks and Distributed Systems, 2020
Proceedings of the 21th International Society for Music Information Retrieval Conference, 2020
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020
Proceedings of the 25th International Conference on Pattern Recognition, 2020
Proceedings of the 7th IEEE International Conference on Data Science and Advanced Analytics, 2020
2019
IEEE Trans. Multim., 2019
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., 2019
EmbML Tool: Supporting the use of Supervised Learning Algorithms in Low-Cost Embedded Systems.
Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
Combining instance selection and self-training to improve data stream quantification.
J. Braz. Comput. Soc., 2018
Speeding up similarity search under dynamic time warping by pruning unpromising alignments.
Data Min. Knowl. Discov., 2018
Unsupervised context switch for classification tasks on data streams with recurrent concepts.
Proceedings of the 33rd Annual ACM Symposium on Applied Computing, 2018
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018
Proceedings of the Second International Workshop on Learning with Imbalanced Domains: Theory and Applications, 2018
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018
Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2018
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2018
Proceedings of the 7th Brazilian Conference on Intelligent Systems, 2018
2017
Unsupervised active learning techniques for labeling training sets: An experimental evaluation on sequential data.
Intell. Data Anal., 2017
Proceedings of the 2017 Brazilian Conference on Intelligent Systems, 2017
2016
Proceedings of the 2016 SIAM International Conference on Data Mining, 2016
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016
Proceedings of the 17th International Society for Music Information Retrieval Conference, 2016
Proceedings of the 23rd International Conference on Pattern Recognition, 2016
Proceedings of the 15th IEEE International Conference on Machine Learning and Applications, 2016
Proceedings of the IEEE 16th International Conference on Data Mining, 2016
2015
Class imbalance revisited: a new experimental setup to assess the performance of treatment methods.
Knowl. Inf. Syst., 2015
Exploring Low Cost Laser Sensors to Identify Flying Insect Species - Evaluation of Machine Learning and Signal Processing Methods.
J. Intell. Robotic Syst., 2015
Data Stream Classification Guided by Clustering on Nonstationary Environments and Extreme Verification Latency.
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015
Proceedings of the 16th International Society for Music Information Retrieval Conference, 2015
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015
Effective insect recognition using a stacked autoencoder with maximum correntropy criterion.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015
Proceedings of the Advances in Intelligent Data Analysis XIV, 2015
Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 2015
A Study of the Use of Complexity Measures in the Similarity Search Process Adopted by kNN Algorithm for Time Series Prediction.
Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 2015
IGMM-CD: A Gaussian Mixture Classification Algorithm for Data Streams with Concept Drifts.
Proceedings of the 2015 Brazilian Conference on Intelligent Systems, 2015
2014
Coping with highly imbalanced datasets: A case study with definition extraction in a multilingual setting.
Nat. Lang. Eng., 2014
Data Min. Knowl. Discov., 2014
Music Classification by Transductive Learning Using Bipartite Heterogeneous Networks.
Proceedings of the 15th International Society for Music Information Retrieval Conference, 2014
Proceedings of the 22nd International Conference on Pattern Recognition, 2014
Time Series Transductive Classification on Imbalanced Data Sets: An Experimental Study.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014
Proceedings of the 13th International Conference on Machine Learning and Applications, 2014
2013
Addressing Big Data Time Series: Mining Trillions of Time Series Subsequences Under Dynamic Time Warping.
ACM Trans. Knowl. Discov. Data, 2013
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013
Proceedings of the 14th International Society for Music Information Retrieval Conference, 2013
Applying Machine Learning and Audio Analysis Techniques to Insect Recognition in Intelligent Traps.
Proceedings of the 12th International Conference on Machine Learning and Applications, 2013
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013
Proceedings of the Brazilian Conference on Intelligent Systems, 2013
Proceedings of the Brazilian Conference on Intelligent Systems, 2013
2012
A Complexity-Invariant Measure Based on Fractal Dimension for Time Series Classification.
Int. J. Nat. Comput. Res., 2012
A Novel Approximation to Dynamic Time Warping allows Anytime Clustering of Massive Time Series Datasets.
Proceedings of the Twelfth SIAM International Conference on Data Mining, 2012
Searching and mining trillions of time series subsequences under dynamic time warping.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012
Proceedings of the 11th International Conference on Machine Learning and Applications, 2012
Proceedings of the Advances in Artificial Intelligence - IBERAMIA 2012, 2012
2011
IEEE Trans. Knowl. Data Eng., 2011
Log. J. IGPL, 2011
Proceedings of the Eleventh SIAM International Conference on Data Mining, 2011
SIGKDD demo: sensors and software to allow computational entomology, an emerging application of data mining.
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011
Proceedings of the 10th International Conference on Machine Learning and Applications and Workshops, 2011
2010
A Study of the Influence of Rule Measures in Classifiers Induced by Evolutionary Algorithms.
IEEE Intell. Informatics Bull., 2010
Proceedings of the Ninth International Conference on Machine Learning and Applications, 2010
Proceedings of the Ninth International Conference on Machine Learning and Applications, 2010
2009
Data mining with imbalanced class distributions: concepts and methods.
Proceedings of the 4th Indian International Conference on Artificial Intelligence, 2009
2008
Proceedings of the Advances in Artificial Intelligence, 2008
A Study with Class Imbalance and Random Sampling for a Decision Tree Learning System.
Proceedings of the Artificial Intelligence in Theory and Practice II, 2008
Evaluating Ranking Composition Methods for Multi-Objective Optimization of Knowledge Rules.
Proceedings of the 8th International Conference on Hybrid Intelligent Systems (HIS 2008), 2008
2006
A Comparison of Methods for Rule Subset Selection Applied to Associative Classification.
Inteligencia Artif., 2006
2005
Multi-view Semi-supervised Learning: An Approach to Obtain Different Views from Text Datasets.
Proceedings of the Advances in Logic Based Intelligent Systems, 2005
Proceedings of the Advances in Intelligent Data Analysis VI, 2005
2004
A study of the behavior of several methods for balancing machine learning training data.
SIGKDD Explor., 2004
Proceedings of the Advances in Artificial Intelligence - SBIA 2004, 17th Brazilian Symposium on Artificial Intelligence, São Luis, Maranhão, Brazil, September 29, 2004
Class Imbalances versus Class Overlapping: An Analysis of a Learning System Behavior.
Proceedings of the MICAI 2004: Advances in Artificial Intelligence, 2004
Applying Genetic and Symbolic Learning Algorithms to Extract Rules from Artificial Neural Networks.
Proceedings of the MICAI 2004: Advances in Artificial Intelligence, 2004
Improving Rule Induction Precision for Automated Annotation by Balancing Skewed Data Sets.
Proceedings of the Knowledge Exploration in Life Science Informatics, 2004
2003
Appl. Artif. Intell., 2003
Balancing Training Data for Automated Annotation of Keywords: a Case Study.
Proceedings of the II Brazilian Workshop on Bioinformatics, 2003
2002
Splice Junction Recognition using Machine Learning Techniques.
Proceedings of the I Brazilian Workshop on Bioinformatics, 2002
The Influence of Noisy Patterns in the Performance of Learning Methods in the Splice Junction Recognition Problem.
Proceedings of the 7th Brazilian Symposium on Neural Networks (SBRN 2002), 2002
A Study of K-Nearest Neighbour as an Imputation Method.
Proceedings of the Soft Computing Systems - Design, Management and Applications, 2002
2000
Proceedings of the MICAI 2000: Advances in Artificial Intelligence, 2000