Lorena Qendro

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 20

Top Topics

Activity Recognition

Event Detection

Top Venues

Publications

Chi Ian Tang, Lorena Qendro, Dimitris Spathis, Fahim Kawsar, Akhil Mathur, Cecilia Mascolo
Balancing Continual Learning and Fine-tuning for Human Activity Recognition. CoRR (2024)
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 (2024)
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)
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)
Terry Fawden, Lorena Qendro, Cecilia Mascolo
Uncertainty-Informed On-Device Personalisation Using Early Exit Networks on Sensor Signals. EUSIPCO (2023)
Sotirios Vavaroutas, Lorena Qendro, Cecilia Mascolo
Uncertainty Estimation with Data Augmentation for Active Learning Tasks on Health Data. EMBC (2023)
Chi Ian Tang, Lorena Qendro, Dimitris Spathis, Fahim Kawsar, Cecilia Mascolo, Akhil Mathur
Practical self-supervised continual learning with continual fine-tuning. CoRR (2023)
Lorena Qendro, Cecilia Mascolo
Towards Adversarial Robustness with Early Exit Ensembles. EMBC (2022)
Andrea Ferlini, Dong Ma, Lorena Qendro, Cecilia Mascolo
Mobile Health With Head-Worn Devices: Challenges and Opportunities. IEEE Pervasive Comput. 21 (3) (2022)
Zahra Tarkhani, Lorena Qendro, Malachy O'Connor Brown, Oscar Hill, Cecilia Mascolo, Anil Madhavapeddy
Enhancing the Security & Privacy of Wearable Brain-Computer Interfaces. CoRR (2022)
Alexander Campbell, Lorena Qendro, Pietro Liò, Cecilia Mascolo
Robust and Efficient Uncertainty Aware Biosignal Classification via Early Exit Ensembles. ICASSP (2022)
Lorena Qendro, Jagmohan Chauhan, Alberto Gil C. P. Ramos, Cecilia Mascolo
The Benefit of the Doubt: Uncertainty Aware Sensing for Edge Computing Platforms. CoRR (2021)
Lorena Qendro, Alexander Campbell, Pietro Liò, Cecilia Mascolo
High Frequency EEG Artifact Detection with Uncertainty via Early Exit Paradigm. CoRR (2021)
Lorena Qendro, Sangwon Ha, René de Jong, Partha Maji
Stochastic-Shield: A Probabilistic Approach Towards Training-Free Adversarial Defense in Quantized CNNs. CoRR (2021)
Lorena Qendro, Alexander Campbell, Pietro Liò, Cecilia Mascolo
Early Exit Ensembles for Uncertainty Quantification. ML4H@NeurIPS (2021)
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)
Tong Xia, Jing Han, Lorena Qendro, Ting Dang, Cecilia Mascolo
Uncertainty-Aware COVID-19 Detection from Imbalanced Sound Data. Interspeech (2021)
Tong Xia, Jing Han, Lorena Qendro, Ting Dang, Cecilia Mascolo
Uncertainty-Aware COVID-19 Detection from Imbalanced Sound Data. CoRR (2021)
Alessandro Montanari, Manuja Sharma, Dainius Jenkus, Mohammed Alloulah, Lorena Qendro, Fahim Kawsar
ePerceptive: energy reactive embedded intelligence for batteryless sensors. SenSys (2020)
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)
Nicholas D. Lane, Petko Georgiev, Lorena Qendro
DeepEar: robust smartphone audio sensing in unconstrained acoustic environments using deep learning. UbiComp (2015)