Gustavo Batista

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 22

Top Topics

Event Recognition

Top Venues

ACM Trans. Manag. Inf. Syst.

Publications

Honghui Wang, Weiming Zhi, Gustavo Batista, Rohitash Chandra
Pedestrian Trajectory Prediction Using Dynamics-based Deep Learning. ICRA (2024)
Zeinab Ebrahimi, Gustavo Batista, Mohammad Deghat
AA-DLADMM: An Accelerated ADMM-based Framework for Training Deep Neural Networks. CoRR (2024)
Yuvin Perera, Gustavo Batista, Wen Hu, Salil S. Kanhere, Sanjay K. Jha
SAfER: Simplified Auto-encoder for (Anomalous) Event Recognition. DCOSS-IoT (2024)
Arman Pashamokhtari, Gustavo Batista, Hassan Habibi Gharakheili
Efficient IoT Traffic Inference: From Multi-view Classification to Progressive Monitoring. ACM Trans. Internet Things 5 (1) (2024)
Shayan Azizi, Norihiro Okui, Masataka Nakahara, Ayumu Kubota, Gustavo Batista, Hassan Habibi Gharakheili
Poster: Understanding and Managing Changes in IoT Device Behaviors for Reliable Network Traffic Inference. SIGCOMM (Posters and Demos) (2024)
Uzma Maroof, Gustavo Batista, Arash Shaghaghi, Sanjay K. Jha
Towards Detecting IoT Event Spoofing Attacks Using Time-Series Classification. CoRR (2024)
Adriane B. S. Serapião, Zahra Donyavi, Gustavo Batista
Ensembles of Classifiers and Quantifiers with Data Fusion for Quantification Learning. DS (2023)
Arman Pashamokhtari, Norihiro Okui, Masataka Nakahara, Ayumu Kubota, Gustavo Batista, Hassan Habibi Gharakheili
Dynamic Inference From IoT Traffic Flows Under Concept Drifts in Residential ISP Networks. IEEE Internet Things J. 10 (17) (2023)
Ayyoob Hamza, Hassan Habibi Gharakheili, Theophilus A. Benson, Gustavo Batista, Vijay Sivaraman
Detecting Anomalous Microflows in IoT Volumetric Attacks via Dynamic Monitoring of MUD Activity. CoRR (2023)
Arman Pashamokhtari, Norihiro Okui, Masataka Nakahara, Ayumu Kubota, Gustavo Batista, Hassan Habibi Gharakheili
Quantifying and Managing Impacts of Concept Drifts on IoT Traffic Inference in Residential ISP Networks. CoRR (2023)
Zahra Donyavi, Adriane Serapio, Gustavo Batista
MC-SQ: A Highly Accurate Ensemble for Multi-class Quantification. SDM (2023)
Honghui Wang, Weiming Zhi, Gustavo Batista, Rohitash Chandra
Pedestrian Trajectory Prediction Using Dynamics-based Deep Learning. CoRR (2023)
Arman Pashamokhtari, Gustavo Batista, Hassan Habibi Gharakheili
AdIoTack: Quantifying and Refining Resilience of Decision Tree Ensemble Inference Models against Adversarial Volumetric Attacks on IoT Networks. CoRR (2022)
Daravichet Tin, Maryam Shahpasand, Hassan Habibi Gharakheili, Gustavo Batista
Classifying Time-Series of IoT Flow Activity using Deep Learning and Intransitive Features. SKIMA (2022)
Arman Pashamokhtari, Gustavo Batista, Hassan Habibi Gharakheili
AdIoTack: Quantifying and refining resilience of decision tree ensemble inference models against adversarial volumetric attacks on IoT networks. Comput. Secur. 120 (2022)
Bo Chen, Ali Bakhshi, Gustavo Batista, Brian Wai-Him Ng, Tat-Jun Chin
Update Compression for Deep Neural Networks on the Edge. CoRR (2022)
Bo Chen, Ali Bakhshi, Gustavo Batista, Brian Wai-Him Ng, Tat-Jun Chin
Update Compression for Deep Neural Networks on the Edge. CVPR Workshops (2022)
André Gustavo Maletzke, Denis Moreira dos Reis, Waqar Hassan, Gustavo Batista
Accurately Quantifying under Score Variability. ICDM (2021)
Junye Li, Aryan Sharma, Deepak Mishra, Gustavo Batista, Aruna Seneviratne
COVID-Safe Spatial Occupancy Monitoring Using OFDM-Based Features and Passive WiFi Samples. ACM Trans. Manag. Inf. Syst. 12 (4) (2021)
Aryan Sharma, Junye Li, Deepak Mishra, Gustavo Batista, Aruna Seneviratne
Passive WiFi CSI Sensing Based Machine Learning Framework for COVID-Safe Occupancy Monitoring. ICC Workshops (2021)
Waqar Hassan, André Gustavo Maletzke, Gustavo Batista
Pitfalls in Quantification Assessment. CIKM Workshops (2021)
Gabriel A. F. Rebello, Yining Hu, Kanchana Thilakarathna, Gustavo Batista, Aruna Seneviratne, Otto Carlos Muniz Bandeira Duarte
Melhorando a Acurácia da Detecção de Lavagem de Dinheiro na Rede Bitcoin. SBRC (2020)