By Associate Professor Gustavo Batista

Conference Papers

Batista GEAPA; Bazan AL; Monard MC, 2003, 'Balancing training data for automated annotation of keywords: a case study', in Proceedings of the Second Brazilian Workshop on Bioinformatics, pp. 35 - 43

Lorena AC; Batista GEAPA; De Carvalho ACPLF; Monard MC, 2002, 'Splice junction recognition using machine learning techniques', in Proceedings of the First Brazilian Workshop on Bioinformatics, Citeseer, pp. 32 - 39, Citeseer

Lorena AC; Batista GEAPA; de Carvalho ACPLF; Monard MC, 2002, 'The influence of noisy patterns on the performance of learning methods in the splice junction recognition problem', in Neural Networks, 2002. SBRN 2002. Proceedings. VII Brazilian Symposium on, IEEE, pp. 31 - 36, IEEE

Batista GEAPA; Monard MC, 2001, 'A study of K-nearest neighbour as a model-based method to treat missing data', in Argentine Symposium on Artificial Intelligence

Baranauskas JA; Monard MC; Batista GEAPA, 2000, 'A computational environment for extracting rules from databases', in Management Information Systems, pp. 321 - 330

Theses / Dissertations

BATISTA GE, 2003, Pré-processamento de dados em aprendizado de máquinas supervisionado., Tese (Doutorado)-Instituto de Ciências Matemáticas e de Computaç ao …

Working Papers

Pashamokhtari A; Batista G; Habibi Gharakheili H, 2023, Quantifying and Managing Impacts of Concept Drifts on IoT Traffic Inference in Residential ISP Networks, arXiv, 2301.06695v2, http://dx.doi.org10.48550/arXiv.2301.06695, https://arxiv.org/pdf/2301.06695

Pashamokhtari A; Batista G; Habibi Gharakheili H, 2022, AdIoTack: Quantifying and Refining Resilience of Decision Tree Ensemble Inference Models against Adversarial Volumetric Attacks on IoT Networks, arXiv, ARTN 102801, http://dx.doi.org10.1016/j.cose.2022.102801, https://arxiv.org/pdf/2203.09792.pdf

Preprints

Babaria RJ; Lyu M; Batista G; Sivaraman V, 2025, FastFlow: Early Yet Robust Network Flow Classification using the Minimal Number of Time-Series Packets, http://dx.doi.org/10.1145/3727115

Zhang Y; Batista G; Kanhere SS, 2025, Revisit Time Series Classification Benchmark: The Impact of Temporal Information for Classification, http://dx.doi.org/10.48550/arxiv.2503.20264

A CAR; Chen X; Shaghaghi A; Batista G; Kanhere S, 2025, Predicting IoT Device Vulnerability Fix Times with Survival and Failure Time Models, http://dx.doi.org/10.48550/arxiv.2501.02520

A. CAR; Shaghaghi A; Batista G; Kanhere SS, 2024, Towards Weaknesses and Attack Patterns Prediction for IoT Devices, http://dx.doi.org/10.48550/arxiv.2408.13172

Maroof U; Batista G; Shaghaghi A; Jha S, 2024, Towards Detecting IoT Event Spoofing Attacks Using Time-Series Classification, http://dx.doi.org/10.48550/arxiv.2407.19662

Hamza A; Gharakheili HH; Benson TA; Batista G; Sivaraman V, 2023, Detecting Anomalous Microflows in IoT Volumetric Attacks via Dynamic Monitoring of MUD Activity, http://dx.doi.org/10.48550/arxiv.2304.04987

Pashamokhtari A; Okui N; Nakahara M; Kubota A; Batista G; Gharakheili HH, 2023, Quantifying and Managing Impacts of Concept Drifts on IoT Traffic Inference in Residential ISP Networks, http://dx.doi.org/10.48550/arxiv.2301.06695

Pashamokhtari A; Batista G; Gharakheili HH, 2022, AdIoTack: Quantifying and Refining Resilience of Decision Tree Ensemble Inference Models against Adversarial Volumetric Attacks on IoT Networks, http://dx.doi.org/10.48550/arxiv.2203.09792

da Silva LT; Souza VMA; Batista GEAPA, 2021, An Open-Source Tool for Classification Models in Resource-Constrained Hardware, http://dx.doi.org/10.48550/arxiv.2105.05983

Souza VMA; Reis DMD; Maletzke AG; Batista GEAPA, 2020, Challenges in Benchmarking Stream Learning Algorithms with Real-world Data, http://dx.doi.org/10.1007/s10618-020-00698-5

Reis DD; de Souto M; de Sousa E; Batista G, 2020, Quantifying With Only Positive Training Data

Chen Y; Why A; Batista G; Mafra-Neto A; Keogh E, 2014, Flying Insect Classification with Inexpensive Sensors, http://dx.doi.org/10.48550/arxiv.1403.2654

Other

Souza VMA; Silva DF; Gama J; Batista GEAPA, 2015, Nonstationary environments-archive

Chen Y; Keogh E; Hu B; Begum N; Bagnall A; Queen A; Batista G, 2015, The ucr time series classification archive

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