Gustavo Batista

45 papers A* 2A 3B 1C 1Journal 24Unranked 14

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Generalizable IoT Traffic Representations for Cross-Network Device Identification. CoRR Arunan Sivanathan, David Warren, Deepak Mishra, Sushmita Ruj, Natasha Fernandes, Quan Z. Sheng, Minh Tran, Ben Luo, Daniel Coscia, Gustavo Batista, Hassan Habibi Gharakaheili
2026	J	`jnl`	Real-Time and Trustworthy Classification of IoT Traffic Using Lightweight Deep Learning. IEEE Trans. Netw. Sci. Eng. Arunan Sivanathan, Deepak Mishra, Sushmita Ruj, Natasha Fernandes, Quan Z. Sheng, Minh Tran, Ben Luo, Daniel Coscia, Gustavo Batista, Hassan Habibi Gharakaheili
2025	J	`jnl`	AA-mDLAM: An accelerated ADMM-based framework for training deep neural networks. Neurocomputing Zeinab Ebrahimi, Gustavo Batista, Mohammad Deghat
2025	J	`jnl`	FastFlow: Early Yet Robust Network Flow Classification using the Minimal Number of Time-Series Packets. CoRR Rushi Jayeshkumar Babaria, Minzhao Lyu, Gustavo Batista, Vijay Sivaraman
2025	J	`jnl`	FastFlow: Early Yet Robust Network Flow Classification using the Minimal Number of Time-Series Packets. Proc. ACM Meas. Anal. Comput. Syst. Rushi Jayeshkumar Babaria, Minzhao Lyu, Gustavo Batista, Vijay Sivaraman
2025	J	`jnl`	Instance-Wise Monotonic Calibration by Constrained Transformation. CoRR Yunrui Zhang, Gustavo Batista, Salil S. Kanhere
2025	A	`conf`	Label Shift Estimation With Incremental Prior Update. SDM Yunrui Zhang, Gustavo Batista, Salil S. Kanhere
2025	—	`conf`	Match: A Maximum-Likelihood Approach for Classification under Label Shift. KDD (2) Zahra Donyavi, Feiyu Li, Yunrui Zhang, Diego Furtado Silva, Gustavo Batista
2025	J	`jnl`	MetaQuant: A framework for metaheuristic based quantification. Appl. Soft Comput. Adriane Beatriz de Souza Serapião, Zahra Donyavi, Gustavo Batista
2025	A	`conf`	Nosy Layers, Noisy Fixes: Tackling DRAs in Federated Learning Systems using Explainable AI. AsiaCCS Meghali Nandi, Arash Shaghaghi, Nazatul Haque Sultan, Gustavo Batista, Raymond K. Zhao, Sanjay K. Jha
2025	J	`jnl`	Nosy Layers, Noisy Fixes: Tackling DRAs in Federated Learning Systems using Explainable AI. CoRR Meghali Nandi, Arash Shaghaghi, Nazatul Haque Sultan, Gustavo Batista, Raymond K. Zhao, Sanjay K. Jha
2025	J	`jnl`	Pedestrian trajectory prediction using goal-driven and dynamics-based deep learning framework. Expert Syst. Appl. Honghui Wang, Weiming Zhi, Gustavo Batista, Rohitash Chandra
2025	—	`conf`	Predicting IoT Device Vulnerability Fix Times with Survival and Failure Time Models. ACSW Carlos Alberto Rivera Alvarez, Xinzhang Chen, Arash Shaghaghi, Gustavo Batista, Salil S. Kanhere
2025	J	`jnl`	Predicting IoT Device Vulnerability Fix Times with Survival and Failure Time Models. CoRR Carlos A. Rivera Alvarez, Xinzhang Chen, Arash Shaghaghi, Gustavo Batista, Salil S. Kanhere
2025	—	`conf`	Revisit Time Series Classification Benchmark: The Impact of Temporal Information for Classification. PAKDD (4) Yunrui Zhang, Gustavo Batista, Salil S. Kanhere
2025	J	`jnl`	Revisit Time Series Classification Benchmark: The Impact of Temporal Information for Classification. CoRR Yunrui Zhang, Gustavo Batista, Salil S. Kanhere
2025	—	`conf`	Towards Behavior Grammar-Driven IoT Network Traffic Generation using MUD Specifications. CPSIOTSEC@CCS Shuai Zhang, Shayan Azizi, Aditya Joshi, Gustavo Batista, Hassan Habibi Gharakheili
2024	J	`jnl`	AA-DLADMM: An Accelerated ADMM-based Framework for Training Deep Neural Networks. CoRR Zeinab Ebrahimi, Gustavo Batista, Mohammad Deghat
2024	—	`conf`	Charting a Fair Path: FaGGM Fairness-Aware Generative Graphical Models. AI (1) Vivian Wei Jiang, Gustavo Batista, Michael Bain
2024	J	`jnl`	Efficient IoT Traffic Inference: From Multi-view Classification to Progressive Monitoring. ACM Trans. Internet Things Arman Pashamokhtari, Gustavo Batista, Hassan Habibi Gharakheili
2024	J	`jnl`	MC-SQ and MC-MQ: Ensembles for Multi-Class Quantification. IEEE Trans. Knowl. Data Eng. Zahra Donyavi, Adriane Beatriz de Souza Serapião, Gustavo Batista
2024	A*	`conf`	Pedestrian Trajectory Prediction Using Dynamics-based Deep Learning. ICRA Honghui Wang, Weiming Zhi, Gustavo Batista, Rohitash Chandra
2024	—	`conf`	Poster: Understanding and Managing Changes in IoT Device Behaviors for Reliable Network Traffic Inference. SIGCOMM (Posters and Demos) Shayan Azizi, Norihiro Okui, Masataka Nakahara, Ayumu Kubota, Gustavo Batista, Hassan Habibi Gharakheili
2024	—	`conf`	Quantification Over Time. ECML/PKDD (5) Feiyu Li, Hassan Habibi Gharakheili, Gustavo Batista
2024	—	`conf`	SAfER: Simplified Auto-encoder for (Anomalous) Event Recognition. DCOSS-IoT Yuvin Perera, Gustavo Batista, Wen Hu, Salil S. Kanhere, Sanjay K. Jha
2024	—	`conf`	Systematic Mapping and Temporal Reasoning of IoT Cyber Risks using Structured Data. AINTEC Marta Zumaquero Gil, Zhibo Hu, Minzhao Lyu, Gustavo Batista, Hassan Habibi Gharakheili
2024	J	`jnl`	Towards Detecting IoT Event Spoofing Attacks Using Time-Series Classification. CoRR Uzma Maroof, Gustavo Batista, Arash Shaghaghi, Sanjay K. Jha
2024	C	`conf`	Towards Weaknesses and Attack Patterns Prediction for IoT Devices. SIN Carlos A. Rivera Alvarez, Arash Shaghaghi, Gustavo Batista, Salil S. Kanhere
2024	J	`jnl`	Towards Weaknesses and Attack Patterns Prediction for IoT Devices. CoRR Carlos A. Rivera Alvarez, Arash Shaghaghi, Gustavo Batista, Salil S. Kanhere
2023	J	`jnl`	Detecting Anomalous Microflows in IoT Volumetric Attacks via Dynamic Monitoring of MUD Activity. CoRR Ayyoob Hamza, Hassan Habibi Gharakheili, Theophilus A. Benson, Gustavo Batista, Vijay Sivaraman
2023	J	`jnl`	Dynamic Inference From IoT Traffic Flows Under Concept Drifts in Residential ISP Networks. IEEE Internet Things J. Arman Pashamokhtari, Norihiro Okui, Masataka Nakahara, Ayumu Kubota, Gustavo Batista, Hassan Habibi Gharakheili
2023	B	`conf`	Ensembles of Classifiers and Quantifiers with Data Fusion for Quantification Learning. DS Adriane Beatriz de Souza Serapião, Zahra Donyavi, Gustavo Batista
2023	A	`conf`	MC-SQ: A Highly Accurate Ensemble for Multi-class Quantification. SDM Zahra Donyavi, Adriane Serapio, Gustavo Batista
2023	J	`jnl`	Pedestrian Trajectory Prediction Using Dynamics-based Deep Learning. CoRR Honghui Wang, Weiming Zhi, Gustavo Batista, Rohitash Chandra
2023	J	`jnl`	Quantifying and Managing Impacts of Concept Drifts on IoT Traffic Inference in Residential ISP Networks. CoRR Arman Pashamokhtari, Norihiro Okui, Masataka Nakahara, Ayumu Kubota, Gustavo Batista, Hassan Habibi Gharakheili
2022	J	`jnl`	AdIoTack: Quantifying and Refining Resilience of Decision Tree Ensemble Inference Models against Adversarial Volumetric Attacks on IoT Networks. CoRR Arman Pashamokhtari, Gustavo Batista, Hassan Habibi Gharakheili
2022	J	`jnl`	AdIoTack: Quantifying and refining resilience of decision tree ensemble inference models against adversarial volumetric attacks on IoT networks. Comput. Secur. Arman Pashamokhtari, Gustavo Batista, Hassan Habibi Gharakheili
2022	—	`conf`	Classifying Time-Series of IoT Flow Activity using Deep Learning and Intransitive Features. SKIMA Daravichet Tin, Maryam Shahpasand, Hassan Habibi Gharakheili, Gustavo Batista
2022	—	`conf`	Update Compression for Deep Neural Networks on the Edge. CVPR Workshops Bo Chen, Ali Bakhshi, Gustavo Batista, Brian Wai-Him Ng, Tat-Jun Chin
2022	J	`jnl`	Update Compression for Deep Neural Networks on the Edge. CoRR Bo Chen, Ali Bakhshi, Gustavo Batista, Brian Wai-Him Ng, Tat-Jun Chin
2021	A*	`conf`	Accurately Quantifying under Score Variability. ICDM André Gustavo Maletzke, Denis Moreira dos Reis, Waqar Hassan, Gustavo Batista
2021	J	`jnl`	COVID-Safe Spatial Occupancy Monitoring Using OFDM-Based Features and Passive WiFi Samples. ACM Trans. Manag. Inf. Syst. Junye Li, Aryan Sharma, Deepak Mishra, Gustavo Batista, Aruna Seneviratne
2021	—	`conf`	Passive WiFi CSI Sensing Based Machine Learning Framework for COVID-Safe Occupancy Monitoring. ICC Workshops Aryan Sharma, Junye Li, Deepak Mishra, Gustavo Batista, Aruna Seneviratne
2021	—	`conf`	Pitfalls in Quantification Assessment. CIKM Workshops Waqar Hassan, André Gustavo Maletzke, Gustavo Batista
2020	—	`conf`	Melhorando a Acurácia da Detecção de Lavagem de Dinheiro na Rede Bitcoin. SBRC Gabriel A. F. Rebello, Yining Hu, Kanchana Thilakarathna, Gustavo Batista, Aruna Seneviratne, Otto Carlos Muniz Bandeira Duarte