| How can i explain this to you? an empirical study of deep neural network explanation methods JV Jeyakumar, J Noor, YH Cheng, L Garcia, M Srivastava Advances in Neural Information Processing Systems 33, 4211--4222, 2020 | 205 | 2020 |
| SenseHAR: A Robust Virtual Activity Sensor for Smartphones and Wearables JV Jeyakumar, L Lai, N Suda, M Srivastava Proceedings of the 17th Conference on Embedded Networked Sensor Systems, 15-28, 2019 | 59 | 2019 |
| Deep convolutional bidirectional LSTM based transportation mode recognition JV Jeyakumar, ES Lee, Z Xia, SS Sandha, N Tausik, M Srivastava Proceedings of the 2018 ACM international joint conference and 2018 …, 2018 | 43 | 2018 |
| X-char: A concept-based explainable complex human activity recognition model JV Jeyakumar, A Sarker, LA Garcia, M Srivastava Proceedings of the ACM on interactive, mobile, wearable and ubiquitous …, 2023 | 20 | 2023 |
| Automatic concept extraction for concept bottleneck-based video classification JV Jeyakumar, L Dickens, L Garcia, YH Cheng, DR Echavarria, J Noor, ... arXiv preprint arXiv:2206.10129, 2022 | 9 | 2022 |
| On the amplification of security and privacy risks by post-hoc explanations in machine learning models P Quan, S Chakraborty, JV Jeyakumar, M Srivastava arXiv preprint arXiv:2206.14004, 2022 | 8 | 2022 |
| Hard-label black-box adversarial attack on deep electrocardiogram classifier J Lam, P Quan, J Xu, JV Jeyakumar, M Srivastava Proceedings of the 1st ACM International Workshop on Security and Safety for …, 2020 | 7 | 2020 |
| AquaMote: Ultra low power sensor tag for animal localization and fine motion tracking ES Lee, JV Jeyakumar, B Balaji, RP Wilson, M Srivastava Proceedings of the 15th ACM Conference on Embedded Network Sensor Systems, 1-2, 2017 | 4* | 2017 |
| Combining Individual and Joint Networking Behavior for Intelligent IoT Analytics JV Jeyakumar, L Cherkasova, S Lajevardi, M Allan, Y Zhao, J Fry, ... Internet of Things-ICIOT 2020: 5th International Conference, Held as Part of …, 2020 | 1 | 2020 |
| Robust and Interpretable Predictions for Multimodal Sensor Systems JV Jeyakumar University of California, Los Angeles, 2022 | | 2022 |
| Cloud Assisted File Sync P Rajput, C Muthappan, JV Jeyakumar, L Wen | | 2017 |
| Code2Func: Function Name Generation from Source Code JV Jeyakumar, CPK Arjun | | |
Mani SrivastavaProfessor of Electrical & Computer Engineering, and Professor of Computer Science, UCLABestätigte E-Mail-Adresse bei ucla.edu
