Lorena Qendro - RankMe

25 papers A* 1A 2Misc 4Journal 13Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A cascade framework for on-device uncertainty-aware event detection on microcontrollers. Pervasive Mob. Comput. Hong Jia, Young D. Kwon, Dong Ma, Nhat Pham, Lorena Qendro, Tam Vu, Cecilia Mascolo
2026	J	`jnl`	ConSensus: Multi-Agent Collaboration for Multimodal Sensing. CoRR Hyungjun Yoon, Mohammad Malekzadeh, Sung-Ju Lee, Fahim Kawsar, Lorena Qendro
2025	J	`jnl`	Contrastive Self-Supervised Learning at the Edge: An Energy Perspective. CoRR Fernanda Famá, Roberto M. Pinheiro Pereira, Charalampos Kalalas, Paolo Dini, Lorena Qendro, Fahim Kawsar, Mohammad Malekzadeh
2024	J	`jnl`	Balancing Continual Learning and Fine-tuning for Human Activity Recognition. CoRR Chi Ian Tang, Lorena Qendro, Dimitris Spathis, Fahim Kawsar, Akhil Mathur, Cecilia Mascolo
2024	A	`conf`	Kaizen: Practical self-supervised continual learning with continual fine-tuning. WACV Chi Ian Tang, Lorena Qendro, Dimitris Spathis, Fahim Kawsar, Cecilia Mascolo, Akhil Mathur
2024	A*	`conf`	UR2M: Uncertainty and Resource-Aware Event Detection on Microcontrollers. PerCom Hong Jia, Young D. Kwon, Dong Ma, Nhat Pham, Lorena Qendro, Tam Vu, Cecilia Mascolo
2024	J	`jnl`	UR2M: Uncertainty and Resource-Aware Event Detection on Microcontrollers. CoRR Hong Jia, Young D. Kwon, Dong Ma, Nhat Pham, Lorena Qendro, Tam Vu, Cecilia Mascolo
2024	J	`jnl`	Uncertainty-Aware Health Diagnostics via Class-Balanced Evidential Deep Learning. IEEE J. Biomed. Health Informatics Tong Xia, Ting Dang, Jing Han, Lorena Qendro, Cecilia Mascolo
2023	J	`jnl`	Practical self-supervised continual learning with continual fine-tuning. CoRR Chi Ian Tang, Lorena Qendro, Dimitris Spathis, Fahim Kawsar, Cecilia Mascolo, Akhil Mathur
2023	—	`conf`	Uncertainty Estimation with Data Augmentation for Active Learning Tasks on Health Data. EMBC Sotirios Vavaroutas, Lorena Qendro, Cecilia Mascolo
2023	—	`conf`	Uncertainty-Informed On-Device Personalisation Using Early Exit Networks on Sensor Signals. EUSIPCO Terry Fawden, Lorena Qendro, Cecilia Mascolo
2022	J	`jnl`	Enhancing the Security & Privacy of Wearable Brain-Computer Interfaces. CoRR Zahra Tarkhani, Lorena Qendro, Malachy O'Connor Brown, Oscar Hill, Cecilia Mascolo, Anil Madhavapeddy
2022	J	`jnl`	Mobile Health With Head-Worn Devices: Challenges and Opportunities. IEEE Pervasive Comput. Andrea Ferlini, Dong Ma, Lorena Qendro, Cecilia Mascolo
2022	Misc	`conf`	Robust and Efficient Uncertainty Aware Biosignal Classification via Early Exit Ensembles. ICASSP Alexander Campbell, Lorena Qendro, Pietro Liò, Cecilia Mascolo
2022	—	`conf`	Towards Adversarial Robustness with Early Exit Ensembles. EMBC Lorena Qendro, Cecilia Mascolo
2021	—	`conf`	Early Exit Ensembles for Uncertainty Quantification. ML4H@NeurIPS Lorena Qendro, Alexander Campbell, Pietro Liò, Cecilia Mascolo
2021	J	`jnl`	High Frequency EEG Artifact Detection with Uncertainty via Early Exit Paradigm. CoRR Lorena Qendro, Alexander Campbell, Pietro Liò, Cecilia Mascolo
2021	J	`jnl`	Stochastic-Shield: A Probabilistic Approach Towards Training-Free Adversarial Defense in Quantized CNNs. CoRR Lorena Qendro, Sangwon Ha, René de Jong, Partha Maji
2021	Misc	`conf`	The Benefit of the Doubt: Uncertainty Aware Sensing for Edge Computing Platforms. SEC Lorena Qendro, Jagmohan Chauhan, Alberto Gil C. P. Ramos, Cecilia Mascolo
2021	J	`jnl`	The Benefit of the Doubt: Uncertainty Aware Sensing for Edge Computing Platforms. CoRR Lorena Qendro, Jagmohan Chauhan, Alberto Gil C. P. Ramos, Cecilia Mascolo
2021	A	`conf`	Uncertainty-Aware COVID-19 Detection from Imbalanced Sound Data. Interspeech Tong Xia, Jing Han, Lorena Qendro, Ting Dang, Cecilia Mascolo
2021	J	`jnl`	Uncertainty-Aware COVID-19 Detection from Imbalanced Sound Data. CoRR Tong Xia, Jing Han, Lorena Qendro, Ting Dang, Cecilia Mascolo
2020	Misc	`conf`	ePerceptive: energy reactive embedded intelligence for batteryless sensors. SenSys Alessandro Montanari, Manuja Sharma, Dainius Jenkus, Mohammed Alloulah, Lorena Qendro, Fahim Kawsar
2016	—	`conf`	DeepX: A Software Accelerator for Low-Power Deep Learning Inference on Mobile Devices. IPSN Nicholas D. Lane, Sourav Bhattacharya, Petko Georgiev, Claudio Forlivesi, Lei Jiao, Lorena Qendro, Fahim Kawsar
2015	Misc	`conf`	DeepEar: robust smartphone audio sensing in unconstrained acoustic environments using deep learning. UbiComp Nicholas D. Lane, Petko Georgiev, Lorena Qendro