| Deepx: A software accelerator for low-power deep learning inference on mobile devices ND Lane, S Bhattacharya, P Georgiev, C Forlivesi, L Jiao, L Qendro, ... 2016 15th ACM/IEEE International Conference on Information Processing in …, 2016 | 642 | 2016 |
| Deepear: robust smartphone audio sensing in unconstrained acoustic environments using deep learning ND Lane, P Georgiev, L Qendro Proceedings of the 2015 ACM international joint conference on pervasive and …, 2015 | 417 | 2015 |
| ePerceptive: energy reactive embedded intelligence for batteryless sensors A Montanari, M Sharma, D Jenkus, M Alloulah, L Qendro, F Kawsar Proceedings of the 18th Conference on Embedded Networked Sensor Systems, 382-394, 2020 | 34 | 2020 |
| Uncertainty-aware covid-19 detection from imbalanced sound data T Xia, J Han, L Qendro, T Dang, C Mascolo arXiv preprint arXiv:2104.02005, 2021 | 31 | 2021 |
| Early exit ensembles for uncertainty quantification L Qendro, A Campbell, P Lio, C Mascolo Machine Learning for Health, 181-195, 2021 | 30 | 2021 |
| Enhancing the security & privacy of wearable brain-computer interfaces Z Tarkhani, L Qendro, MOC Brown, O Hill, C Mascolo, A Madhavapeddy arXiv preprint arXiv:2201.07711, 2022 | 9 | 2022 |
| Kaizen: Practical self-supervised continual learning with continual fine-tuning CI Tang, L Qendro, D Spathis, F Kawsar, C Mascolo, A Mathur Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024 | 8 | 2024 |
| The benefit of the doubt: Uncertainty aware sensing for edge computing platforms L Qendro, J Chauhan, AGCP Ramos, C Mascolo 2021 IEEE/ACM Symposium on Edge Computing (SEC), 214-227, 2021 | 8 | 2021 |
| Mobile health with head-worn devices: Challenges and opportunities A Ferlini, D Ma, L Qendro, C Mascolo IEEE Pervasive Computing 21 (3), 52-60, 2022 | 7 | 2022 |
| High frequency eeg artifact detection with uncertainty via early exit paradigm L Qendro, A Campbell, P Liò, C Mascolo arXiv preprint arXiv:2107.10746, 2021 | 7 | 2021 |
| Stochastic-Shield: A probabilistic approach towards training-free adversarial defense in quantized cnns L Qendro, S Ha, R de Jong, P Maji Proceedings of the 1st Workshop on Security and Privacy for Mobile AI, 1-6, 2021 | 7 | 2021 |
| Robust and efficient uncertainty aware biosignal classification via early exit ensembles A Campbell, L Qendro, P Liò, C Mascolo ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 5 | 2022 |
| Hybrid-edl: Improving evidential deep learning for uncertainty quantification on imbalanced data T Xia, J Han, L Qendro, T Dang, C Mascolo Workshop on Trustworthy and Socially Responsible Machine Learning, NeurIPS 2022, 2022 | 4 | 2022 |
| Towards adversarial robustness with early exit ensembles L Qendro, C Mascolo 2022 44th Annual International Conference of the IEEE Engineering in …, 2022 | 3 | 2022 |
| Uncertainty-aware Health Diagnostics via Class-balanced Evidential Deep Learning T Xia, T Dang, J Han, L Qendro, C Mascolo IEEE Journal of Biomedical and Health Informatics, 2024 | 2 | 2024 |
| DeepEar ND Lane, P Georgiev, L Qendro Proceedings of the 2015 ACM International Joint Conference on Pervasive and …, 2015 | 2 | 2015 |
| Balancing Continual Learning and Fine-tuning for Human Activity Recognition CI Tang, L Qendro, D Spathis, F Kawsar, A Mathur, C Mascolo arXiv preprint arXiv:2401.02255, 2024 | 1 | 2024 |
| Biosignal Monitoring System SY Jang, A Ferlini, L Qendro US Patent App. 18/508,348, 2024 | | 2024 |
| UR2M: Uncertainty and resource-aware event detection on microcontrollers H Jia, YD Kwon, D Mat, N Pham, L Qendro, T Vu, C Mascolo 2024 IEEE International Conference on Pervasive Computing and Communications …, 2024 | | 2024 |
| Uncertainty-Informed On-Device Personalisation Using Early Exit Networks on Sensor Signals T Fawden, L Qendro, C Mascolo 2023 31st European Signal Processing Conference (EUSIPCO), 1305-1309, 2023 | | 2023 |
Cecilia MascoloUniversity of Cambridge在 cl.cam.ac.uk 的电子邮件经过验证
