Cecilia Mascolo

Cecilia Mascolo

University of Cambridge

H-index: 76

Europe-United Kingdom

About Cecilia Mascolo

Cecilia Mascolo, With an exceptional h-index of 76 and a recent h-index of 48 (since 2020), a distinguished researcher at University of Cambridge, specializes in the field of Mobile Systems, Mobile Health, Wearable Data Machine Learning, On Device Machine Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

UR2M: Uncertainty and Resource-Aware Event Detection on Microcontrollers

Uncertainty-aware Health Diagnostics via Class-balanced Evidential Deep Learning

Balancing Continual Learning and Fine-tuning for Human Activity Recognition

Kaizen: Practical Self-Supervised Continual Learning With Continual Fine-Tuning

Embracing the Imaginary: Deep Complex-valued Networks for Heart Murmur Detection

EarSet: A Multi-Modal Dataset for Studying the Impact of Head and Facial Movements on In-Ear PPG Signals

Evaluating Listening Performance for COVID-19 Detection by Clinicians and Machine Learning: Comparative Study

Tinytrain: Deep neural network training at the extreme edge

Cecilia Mascolo Information

University

Position

___

Citations(all)

24535

Citations(since 2020)

7644

Cited By

20156

hIndex(all)

76

hIndex(since 2020)

48

i10Index(all)

222

i10Index(since 2020)

133

Email

University Profile Page

University of Cambridge

Google Scholar

View Google Scholar Profile

Cecilia Mascolo Skills & Research Interests

Mobile Systems

Mobile Health

Wearable Data Machine Learning

On Device Machine Learning

Top articles of Cecilia Mascolo

Title

Journal

Author(s)

Publication Date

UR2M: Uncertainty and Resource-Aware Event Detection on Microcontrollers

Hong Jia

Young D Kwon

Dong Mat

Nhat Pham

Lorena Qendro

...

2024/3/11

Uncertainty-aware Health Diagnostics via Class-balanced Evidential Deep Learning

IEEE Journal of Biomedical and Health Informatics

Tong Xia

Ting Dang

Jing Han

Lorena Qendro

Cecilia Mascolo

2024/2/6

Balancing Continual Learning and Fine-tuning for Human Activity Recognition

arXiv preprint arXiv:2401.02255

Chi Ian Tang

Lorena Qendro

Dimitris Spathis

Fahim Kawsar

Akhil Mathur

...

2024/1/4

Kaizen: Practical Self-Supervised Continual Learning With Continual Fine-Tuning

Chi Ian Tang

Lorena Qendro

Dimitris Spathis

Fahim Kawsar

Cecilia Mascolo

...

2024

Embracing the Imaginary: Deep Complex-valued Networks for Heart Murmur Detection

Erika Bondareva

Georgios Rizos

Jing Han

Cecilia Mascolo

2023/10/1

EarSet: A Multi-Modal Dataset for Studying the Impact of Head and Facial Movements on In-Ear PPG Signals

Scientific Data

Alessandro Montanari

Andrea Ferlini

Ananta Narayanan Balaji

Cecilia Mascolo

Fahim Kawsar

2023/12/1

Evaluating Listening Performance for COVID-19 Detection by Clinicians and Machine Learning: Comparative Study

Journal of Medical Internet Research

Jing Han

Marco Montagna

Andreas Grammenos

Tong Xia

Erika Bondareva

...

2023/5/9

Tinytrain: Deep neural network training at the extreme edge

arXiv preprint arXiv:2307.09988

Young D Kwon

Rui Li

Stylianos I Venieris

Jagmohan Chauhan

Nicholas D Lane

...

2023/7/19

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

Terry Fawden

Lorena Qendro

Cecilia Mascolo

2023/9/4

Human-centred artificial intelligence for mobile health sensing: challenges and opportunities

Ting Dang

Dimitris Spathis

Abhirup Ghosh

Cecilia Mascolo

2023/11/15

Practical self-supervised continual learning with continual fine-tuning

arXiv preprint arXiv:2303.17235

Chi Ian Tang

Lorena Qendro

Dimitris Spathis

Fahim Kawsar

Cecilia Mascolo

...

2023/3/30

An Automated, Online Feasibility Randomized Controlled Trial of a Just-In-Time Adaptive Intervention for Smoking Cessation (Quit Sense)

Nicotine and Tobacco Research

Felix Naughton

Aimie Hope

Chloë Siegele-Brown

Kelly Grant

Garry Barton

...

2023/7/1

Modeling with homophily driven heterogeneous data in Gossip learning

Abhirup Ghosh

Cecilia Mascolo

2023/8

Lifelearner: Hardware-aware meta continual learning system for embedded computing platforms

arXiv preprint arXiv:2311.11420

Young D Kwon

Jagmohan Chauhan

Hong Jia

Stylianos I Venieris

Cecilia Mascolo

2023/11/19

heart: Motion-resilient heart rate monitoring with in-ear microphones

Kayla-Jade Butkow

Ting Dang

Andrea Ferlini

Dong Ma

Cecilia Mascolo

2023/3/13

Uncertainty Quantification in Federated Learning for Heterogeneous Health Data

Yuwei Zhang

Tong Xia

Abhirup Ghosh

Cecilia Mascolo

2023/6/25

Conditional neural ODE processes for individual disease progression forecasting: a case study on COVID-19

Ting Dang

Jing Han

Tong Xia

Erika Bondareva

Chloë Siegele-Brown

...

2023/8/6

FLea: Improving federated learning on scarce and label-skewed data via privacy-preserving feature augmentation

Tong Xia

Abhirup Ghosh

Cecilia Mascolo

2023/10/13

A summary of the ComParE COVID-19 challenges

Frontiers in Digital Health

Harry Coppock

Alican Akman

Christian Bergler

Maurice Gerczuk

Chloë Brown

...

2023/3/8

Heart Rate Extraction from Abdominal Audio Signals

Jake Stuchbury-Wass

Erika Bondareva

Kayla-Jade Butkow

Sanja Šćepanović

Zoran Radivojevic

...

2023/6/4

See List of Professors in Cecilia Mascolo University(University of Cambridge)

Co-Authors

H-index: 101
Jon Crowcroft

Jon Crowcroft

University of Cambridge

H-index: 91
Vito Latora

Vito Latora

Queen Mary University of London

H-index: 67
Jason Rentfrow

Jason Rentfrow

University of Cambridge

H-index: 58
Renaud Lambiotte

Renaud Lambiotte

University of Oxford

H-index: 58
Mirco Musolesi

Mirco Musolesi

University College London

H-index: 57
Gian Pietro Picco

Gian Pietro Picco

Università degli Studi di Trento

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