| Multi-task LSTM Model For Human Activity Recognition and Intensity Estimation using Wearable Sensor Data O Barut, L Zhou, Y Luo IEEE Internet of Things Journal, 2020 | 49 | 2020 |
| Netml: A challenge for network traffic analytics O Barut, Y Luo, T Zhang, W Li, P Li arXiv preprint arXiv:2004.13006, 2020 | 33 | 2020 |
| Multi-Task Hierarchical Learning Based Network Traffic Analytics O Barut, Y Luo, T Zhang, W Li, P Li ICC 2021 - IEEE International Conference on Communications, 1-6, 2021 | 21 | 2021 |
| R1dit: Privacy-preserving malware traffic classification with attention-based neural networks O Barut, Y Luo, P Li, T Zhang IEEE Transactions on Network and Service Management, 2022 | 16 | 2022 |
| Machine learning based malware detection on encrypted traffic: A comprehensive performance study O Barut, M Grohotolski, C DiLeo, Y Luo, P Li, T Zhang Proceedings of the 7th International Conference on Networking, Systems and …, 2020 | 14 | 2020 |
| TLS Encrypted Application Classification Using Machine Learning with Flow Feature Engineering O Barut, R Zhu, Y Luo, T Zhang ICCNS 2020: 2020 the 10th International Conference on Communication and …, 2020 | 11 | 2020 |
| Geospatial object detection using deep networks O Barut, AA Alatan Earth Observing Systems XXIV 11127, 15-23, 2019 | 3 | 2019 |
| Weakly Supervised Learning for Network Traffic Classification O Barut, T Zhang, P Li 2022 IEEE International Conference on Networking, Architecture and Storage …, 2022 | 2 | 2022 |
| A Comprehensive Study on Efficient and Accurate Machine Learning-Based Malicious PE Detection O Barut, T Zhang, Y Luo, P Li 2023 IEEE 20th Consumer Communications & Networking Conference (CCNC), 632-635, 2023 | 1 | 2023 |
| Geospatial object recognition using deep networks for satellite images O Barut Middle East Technical University, 2018 | 1 | 2018 |
| AWS Compute Video Super-Resolution powered by the Intel® Library for Video Super Resolution C Salazar, S Madan, AV Bodas, A Velasco, CA Bird, O Barut, T Trigui, ... Proceedings of the 3rd Mile-High Video Conference, 124-125, 2024 | | 2024 |
| Universal Network Traffic Analysis for Malicious Traffic Detection using RappNet: A Privacy-Preserving Approach: IEEE CNS 23 Poster O Barut, L Deng, D Lu 2023 IEEE Conference on Communications and Network Security (CNS), 1-2, 2023 | | 2023 |
| Network Traffic Analysis and Malware Detection Using Deep Neural Networks O Barut University of Massachusetts Lowell, 2022 | | 2022 |
| Malware Detection for Portable Executables Using a Multi-input Transformer-based Approach TL Huoh, T Miskell, O Barut, Y Luo, P Li, T Zhang | | |
Yan LuoProfessor of Electrical and Computer Engineering, University of Massachusetts LowellVerified email at uml.edu
