DeepEar: robust smartphone audio sensing in unconstrained acoustic environments using deep learning. - Nicholas D. Lane; Petko Georgiev; Lorena Qendro (UbiComp, 2015)

DeepX: A Software Accelerator for Low-Power Deep Learning Inference on Mobile Devices. - Nicholas D. Lane; Sourav Bhattacharya; Petko Georgiev; Claudio Forlivesi; Lei Jiao 002; Lorena Qendro; Fahim Kawsar (IPSN, 2016)

ePerceptive: energy reactive embedded intelligence for batteryless sensors. - Alessandro Montanari; Manuja Sharma; Dainius Jenkus; Mohammed Alloulah; Lorena Qendro; Fahim Kawsar (SenSys, 2020)

The Benefit of the Doubt: Uncertainty Aware Sensing for Edge Computing Platforms. - Lorena Qendro; Jagmohan Chauhan; Alberto Gil C. P. Ramos; Cecilia Mascolo (SEC, 2021)

Uncertainty-Aware COVID-19 Detection from Imbalanced Sound Data. - Tong Xia; Jing Han 010; Lorena Qendro; Ting Dang; Cecilia Mascolo (Interspeech, 2021)

Early Exit Ensembles for Uncertainty Quantification. - Lorena Qendro; Alexander Campbell; Pietro Liò; Cecilia Mascolo (ML4H@NeurIPS, 2021)

Stochastic-Shield: A Probabilistic Approach Towards Training-Free Adversarial Defense in Quantized CNNs. - Lorena Qendro; Sangwon Ha; René de Jong; Partha Maji (CoRR, 2021)

High Frequency EEG Artifact Detection with Uncertainty via Early Exit Paradigm. - Lorena Qendro; Alexander Campbell; Pietro Liò; Cecilia Mascolo (CoRR, 2021)

Towards Adversarial Robustness with Early Exit Ensembles. - Lorena Qendro; Cecilia Mascolo (EMBC, 2022)

Robust and Efficient Uncertainty Aware Biosignal Classification via Early Exit Ensembles. - Alexander Campbell; Lorena Qendro; Pietro Liò; Cecilia Mascolo (ICASSP, 2022)

Enhancing the Security & Privacy of Wearable Brain-Computer Interfaces. - Zahra Tarkhani; Lorena Qendro; Malachy O'Connor Brown; Oscar Hill; Cecilia Mascolo; Anil Madhavapeddy (CoRR, 2022)

Mobile Health With Head-Worn Devices: Challenges and Opportunities. - Andrea Ferlini; Dong Ma 001; Lorena Qendro; Cecilia Mascolo (IEEE Pervasive Comput., 2022)

Uncertainty Estimation with Data Augmentation for Active Learning Tasks on Health Data. - Sotirios Vavaroutas; Lorena Qendro; Cecilia Mascolo (EMBC, 2023)

Uncertainty-Informed On-Device Personalisation Using Early Exit Networks on Sensor Signals. - Terry Fawden; Lorena Qendro; Cecilia Mascolo (EUSIPCO, 2023)

Practical self-supervised continual learning with continual fine-tuning. - Chi Ian Tang; Lorena Qendro; Dimitris Spathis; Fahim Kawsar; Cecilia Mascolo; Akhil Mathur (CoRR, 2023)

UR2M: Uncertainty and Resource-Aware Event Detection on Microcontrollers. - Hong Jia; Young D. Kwon; Dong Ma 001; Nhat Pham; Lorena Qendro; Tam Vu 001; Cecilia Mascolo (PerCom, 2024)

Kaizen: Practical self-supervised continual learning with continual fine-tuning. - Chi Ian Tang; Lorena Qendro; Dimitris Spathis; Fahim Kawsar; Cecilia Mascolo; Akhil Mathur (WACV, 2024)

Balancing Continual Learning and Fine-tuning for Human Activity Recognition. - Chi Ian Tang; Lorena Qendro; Dimitris Spathis; Fahim Kawsar; Akhil Mathur; Cecilia Mascolo (CoRR, 2024)

Uncertainty-Aware Health Diagnostics via Class-Balanced Evidential Deep Learning. - Tong Xia; Ting Dang; Jing Han 010; Lorena Qendro; Cecilia Mascolo (IEEE J. Biomed. Health Informatics, 2024)