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2020 – today
- 2024
[c12]Hong Jia, Young D. Kwon, Dong Ma, Nhat Pham, Lorena Qendro, Tam Vu, Cecilia Mascolo:
UR2M: Uncertainty and Resource-Aware Event Detection on Microcontrollers. PerCom 2024: 1-10- [c11]Chi Ian Tang, Lorena Qendro, Dimitris Spathis, Fahim Kawsar, Cecilia Mascolo, Akhil Mathur:
Kaizen: Practical self-supervised continual learning with continual fine-tuning. WACV 2024: 2829-2838 - [i8]Chi Ian Tang, Lorena Qendro, Dimitris Spathis, Fahim Kawsar, Akhil Mathur, Cecilia Mascolo:
Balancing Continual Learning and Fine-tuning for Human Activity Recognition. CoRR abs/2401.02255 (2024) - [i7]Hong Jia
, Young D. Kwon, Dong Ma, Nhat Pham, Lorena Qendro, Tam Vu, Cecilia Mascolo:
UR2M: Uncertainty and Resource-Aware Event Detection on Microcontrollers. CoRR abs/2402.09264 (2024) - 2023
- [c10]Sotirios Vavaroutas, Lorena Qendro, Cecilia Mascolo:
Uncertainty Estimation with Data Augmentation for Active Learning Tasks on Health Data. EMBC 2023: 1-4 - [c9]Terry Fawden, Lorena Qendro, Cecilia Mascolo:
Uncertainty-Informed On-Device Personalisation Using Early Exit Networks on Sensor Signals. EUSIPCO 2023: 1305-1309 - [i6]Chi Ian Tang, Lorena Qendro, Dimitris Spathis, Fahim Kawsar, Cecilia Mascolo, Akhil Mathur:
Practical self-supervised continual learning with continual fine-tuning. CoRR abs/2303.17235 (2023) - 2022
- [j1]Andrea Ferlini, Dong Ma, Lorena Qendro, Cecilia Mascolo:
Mobile Health With Head-Worn Devices: Challenges and Opportunities. IEEE Pervasive Comput. 21(3): 52-60 (2022) - [c8]Lorena Qendro, Cecilia Mascolo:
Towards Adversarial Robustness with Early Exit Ensembles. EMBC 2022: 313-316 - [c7]Alexander Campbell, Lorena Qendro, Pietro Liò, Cecilia Mascolo:
Robust and Efficient Uncertainty Aware Biosignal Classification via Early Exit Ensembles. ICASSP 2022: 3998-4002 - [i5]Zahra Tarkhani, Lorena Qendro, Malachy O'Connor Brown, Oscar Hill, Cecilia Mascolo, Anil Madhavapeddy:
Enhancing the Security & Privacy of Wearable Brain-Computer Interfaces. CoRR abs/2201.07711 (2022) - 2021
- [c6]Lorena Qendro, Jagmohan Chauhan, Alberto Gil C. P. Ramos, Cecilia Mascolo:
The Benefit of the Doubt: Uncertainty Aware Sensing for Edge Computing Platforms. SEC 2021: 214-227 - [c5]Tong Xia, Jing Han, Lorena Qendro, Ting Dang, Cecilia Mascolo:
Uncertainty-Aware COVID-19 Detection from Imbalanced Sound Data. Interspeech 2021: 2951-2955 - [c4]Lorena Qendro, Alexander Campbell, Pietro Liò, Cecilia Mascolo:
Early Exit Ensembles for Uncertainty Quantification. ML4H@NeurIPS 2021: 181-195 - [i4]Lorena Qendro, Jagmohan Chauhan, Alberto Gil C. P. Ramos, Cecilia Mascolo:
The Benefit of the Doubt: Uncertainty Aware Sensing for Edge Computing Platforms. CoRR abs/2102.05956 (2021) - [i3]Tong Xia, Jing Han, Lorena Qendro, Ting Dang, Cecilia Mascolo:
Uncertainty-Aware COVID-19 Detection from Imbalanced Sound Data. CoRR abs/2104.02005 (2021) - [i2]Lorena Qendro, Sangwon Ha, René de Jong, Partha Maji:
Stochastic-Shield: A Probabilistic Approach Towards Training-Free Adversarial Defense in Quantized CNNs. CoRR abs/2105.06512 (2021) - [i1]Lorena Qendro, Alexander Campbell, Pietro Liò, Cecilia Mascolo:
High Frequency EEG Artifact Detection with Uncertainty via Early Exit Paradigm. CoRR abs/2107.10746 (2021) - 2020
- [c3]Alessandro Montanari, Manuja Sharma, Dainius Jenkus, Mohammed Alloulah, Lorena Qendro, Fahim Kawsar:
ePerceptive: energy reactive embedded intelligence for batteryless sensors. SenSys 2020: 382-394
2010 – 2019
- 2016
- [c2]Nicholas D. Lane, Sourav Bhattacharya, Petko Georgiev, Claudio Forlivesi, Lei Jiao, Lorena Qendro, Fahim Kawsar:
DeepX: A Software Accelerator for Low-Power Deep Learning Inference on Mobile Devices. IPSN 2016: 23:1-23:12 - 2015
- [c1]Nicholas D. Lane, Petko Georgiev, Lorena Qendro:
DeepEar: robust smartphone audio sensing in unconstrained acoustic environments using deep learning. UbiComp 2015: 283-294
Coauthor Index
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last updated on 2024-10-07 21:20 CEST by the dblp team
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