| 2026 | PAKDD | ContinualCropBank: Object-Level Replay for Semi-supervised Online Continual Object Detection. | Lucas Tsutsui da Silva, Gustavo Batista |
| 2026 | PAKDD | Self-supervised Learning for Time Series Classification via Redundancy Reduction and Wavelet-Based Data Augmentation. | Daravichet Tin, Hassan Habibi Gharakheili, Gustavo Batista |
| 2026 | PAKDD | Mosaic: An Accurate and Efficient Kernel-Based Multivariate Time Series Classifier. | Yunrui Zhang, Gustavo Batista, Salil S. Kanhere |
| 2026 | SENSYS | Poster Abstract: Privacy-Generalisation Trade-Offs in Federated Learning for Cross-Room Wi-Fi Sensing. | Rod Koo, Thomas Gosman, Deepak Mishra, Gustavo Batista, Hassan Habibi Gharakheili, Aruna Seneviratne |
| 2025 | AsiaCCS | Nosy Layers, Noisy Fixes: Tackling DRAs in Federated Learning Systems using Explainable AI. | Meghali Nandi, Arash Shaghaghi, Nazatul Haque Sultan, Gustavo Batista, Raymond K. Zhao, Sanjay K. Jha |
| 2025 | KDD | Match: A Maximum-Likelihood Approach for Classification under Label Shift. | Zahra Donyavi, Feiyu Li, Yunrui Zhang, Diego Furtado Silva, Gustavo Batista |
| 2025 | PAKDD | Revisit Time Series Classification Benchmark: The Impact of Temporal Information for Classification. | Yunrui Zhang, Gustavo Batista, Salil S. Kanhere |
| 2025 | SIGMETRICS | Untitled record | Rushi Jayeshkumar Babaria, Minzhao Lyu, Gustavo Batista, Vijay Sivaraman |
| 2025 | SDM | Label Shift Estimation With Incremental Prior Update. | Yunrui Zhang, Gustavo Batista, Salil S. Kanhere |
| 2024 | DCOSS | SAfER: Simplified Auto-encoder for (Anomalous) Event Recognition. | Yuvin Perera, Gustavo Batista, Wen Hu, Salil S. Kanhere, Sanjay K. Jha |
| 2024 | ICRA | Pedestrian Trajectory Prediction Using Dynamics-based Deep Learning. | Honghui Wang, Weiming Zhi, Gustavo Batista, Rohitash Chandra |
| 2024 | LCN | Towards Detecting IoT Event Spoofing Attacks Using Time-Series Classification. | Uzma Maroof, Gustavo Batista, Arash Shaghaghi, Sanjay Jha |
| 2024 | SIGCOMM | Poster: Understanding and Managing Changes in IoT Device Behaviors for Reliable Network Traffic Inference. | Shayan Azizi, Norihiro Okui, Masataka Nakahara, Ayumu Kubota, Gustavo Batista, Hassan Habibi Gharakheili |
| 2024 | SIN | Towards Weaknesses and Attack Patterns Prediction for IoT Devices. | Carlos A. Rivera Alvarez, Arash Shaghaghi, Gustavo Batista, Salil S. Kanhere |
| 2023 | DIS | Ensembles of Classifiers and Quantifiers with Data Fusion for Quantification Learning. | Adriane Beatriz de Souza Serapio, Zahra Donyavi, Gustavo Batista |
| 2023 | SDM | MC-SQ: A Highly Accurate Ensemble for Multi-class Quantification. | Zahra Donyavi, Adriane Serapio, Gustavo Batista |
| 2022 | CVPR | Update Compression for Deep Neural Networks on the Edge. | Bo Chen, Ali Bakhshi, Gustavo Batista, Brian Wai-Him Ng, Tat-Jun Chin |
| 2021 | CIKM | Pitfalls in Quantification Assessment. | Waqar Hassan, Andr Gustavo Maletzke, Gustavo Batista |
| 2021 | ICDM | Accurately Quantifying under Score Variability. | Andr Gustavo Maletzke, Denis Moreira dos Reis, Waqar Hassan, Gustavo Batista |