Lorena Qendro

According to our database, Lorena Qendro authored at least 19 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Uncertainty-Aware Health Diagnostics via Class-Balanced Evidential Deep Learning.

Tong Xia, Ting Dang, Jing Han, Lorena Qendro, Cecilia Mascolo

IEEE J. Biomed. Health Informatics, November, 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

Kaizen: Practical self-supervised continual learning with continual fine-tuning.

Chi Ian Tang, Lorena Qendro, Dimitris Spathis, Fahim Kawsar, Cecilia Mascolo, Akhil Mathur

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

UR2M: Uncertainty and Resource-Aware Event Detection on Microcontrollers.

Hong Jia, Young D. Kwon, Dong Ma, Nhat Pham, Lorena Qendro, Tam Vu, Cecilia Mascolo

Proceedings of the IEEE International Conference on Pervasive Computing and Communications, 2024

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

Uncertainty-Informed On-Device Personalisation Using Early Exit Networks on Sensor Signals.

Terry Fawden, Lorena Qendro, Cecilia Mascolo

Proceedings of the 31st European Signal Processing Conference, 2023

Uncertainty Estimation with Data Augmentation for Active Learning Tasks on Health Data.

Sotirios Vavaroutas, Lorena Qendro, Cecilia Mascolo

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

2022

Mobile Health With Head-Worn Devices: Challenges and Opportunities.

Andrea Ferlini, Dong Ma, Lorena Qendro, Cecilia Mascolo

IEEE Pervasive Comput., 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

Robust and Efficient Uncertainty Aware Biosignal Classification via Early Exit Ensembles.

Alexander Campbell, Lorena Qendro, Pietro Liò, Cecilia Mascolo

Proceedings of the IEEE International Conference on Acoustics, 2022

Towards Adversarial Robustness with Early Exit Ensembles.

Lorena Qendro, Cecilia Mascolo

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

2021

High Frequency EEG Artifact Detection with Uncertainty via Early Exit Paradigm.

Lorena Qendro, Alexander Campbell, Pietro Liò, Cecilia Mascolo

CoRR, 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

Early Exit Ensembles for Uncertainty Quantification.

Lorena Qendro, Alexander Campbell, Pietro Liò, Cecilia Mascolo

Proceedings of the Machine Learning for Health, 2021

Uncertainty-Aware COVID-19 Detection from Imbalanced Sound Data.

Tong Xia, Jing Han, Lorena Qendro, Ting Dang, Cecilia Mascolo

Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

The Benefit of the Doubt: Uncertainty Aware Sensing for Edge Computing Platforms.

Lorena Qendro, Jagmohan Chauhan, Alberto Gil C. P. Ramos, Cecilia Mascolo

Proceedings of the 6th IEEE/ACM Symposium on Edge Computing, 2021

2020

ePerceptive: energy reactive embedded intelligence for batteryless sensors.

Alessandro Montanari, Manuja Sharma, Dainius Jenkus, Mohammed Alloulah, Lorena Qendro, Fahim Kawsar

Proceedings of the SenSys '20: The 18th ACM Conference on Embedded Networked Sensor Systems, 2020

2016

DeepX: A Software Accelerator for Low-Power Deep Learning Inference on Mobile Devices.

Nicholas D. Lane, Sourav Bhattacharya, Petko Georgiev, Claudio Forlivesi, Lei Jiao, Lorena Qendro, Fahim Kawsar

Proceedings of the 15th ACM/IEEE International Conference on Information Processing in Sensor Networks, 2016

2015

DeepEar: robust smartphone audio sensing in unconstrained acoustic environments using deep learning.

Nicholas D. Lane, Petko Georgiev, Lorena Qendro

Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2015