Jagmohan Chauhan

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	Wszystkie	Od 2020
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Cecilia MascoloUniversity of CambridgeZweryfikowany adres z cl.cam.ac.uk
Aruna SeneviratneProfessor of Telecommunications, University of New South WalesZweryfikowany adres z unsw.edu.au
Young D. KwonSamsung AI Center-Cambridge; University of CambridgeZweryfikowany adres z cam.ac.uk
Suranga SeneviratneUniversity of SydneyZweryfikowany adres z sydney.edu.au
Dr Archan MISRA _Vice Provost (Research) & Professor, School of Computing and Information SystemsZweryfikowany adres z smu.edu.sg
Youngki LeeSeoul National UniversityZweryfikowany adres z snu.ac.kr
R. Andres FlotoUniversity of CambridgeZweryfikowany adres z cam.ac.uk
Björn SchullerProfessor, Technische Universität München (TUM) / Imperial College London & CSO, audEERINGZweryfikowany adres z tum.de
Stephen SuttonProfessor of Behavioural Science, University of CambridgeZweryfikowany adres z medschl.cam.ac.uk
Zhanpeng JinXinshi Endowed Professor, South China University of TechnologyZweryfikowany adres z scut.edu.cn
Yang GaoEast China Normal UniversityZweryfikowany adres z cs.ecnu.edu.cn
Stylianos I. VenierisSenior Research Scientist @ Samsung AI, Cambridge, UKZweryfikowany adres z samsung.com
Pan HuiChair Professor, Nokia Chair in Data Science, FREng & IEEE Fellow (HKUST & University of Helsinki)Zweryfikowany adres z cse.ust.hk
Diego PerinoMetaZweryfikowany adres z meta.com
Nicholas LaneUniversity of Cambridge and Flower LabsZweryfikowany adres z cam.ac.uk
Rui LiSamsung AI Center, CambridgeZweryfikowany adres z samsung.com
Anind K. DeyUniversity of WashingtonZweryfikowany adres z uw.edu
Richard McManusDean, Brighton and Sussex Medical SchoolZweryfikowany adres z bsms.ac.uk
Geoff V MerrettProfessor of Electronic and Software Systems, University of SouthamptonZweryfikowany adres z ecs.soton.ac.uk
Mohammed MosuilyUniversity of Southampton and Imam Abdulrahman bin Fisal UniversityZweryfikowany adres z soton.ac.uk

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Jagmohan Chauhan

Assistant Professor, ECS, University of Southampton

Zweryfikowany adres z soton.ac.uk - Strona główna

Mobile Systems Mobile Health Usable Security On Device Machine Learning Applied Machine Learning


Tytuł Sortuj wg cytatów Sortuj wg roku Sortuj wg tytułu	Cytowane przez Cytowane przez	Rok
Exploring automatic diagnosis of COVID-19 from crowdsourced respiratory sound data C Brown, J Chauhan, A Grammenos, J Han, A Hasthanasombat, ... Proceedings of the 26th ACM SIGKDD international conference on knowledge …, 2020	544	2020
BreathPrint: Breathing acoustics-based user authentication J Chauhan, Y Hu, S Seneviratne, A Misra, A Seneviratne, Y Lee Proceedings of the 15th Annual International Conference on Mobile Systems …, 2017	215	2017
The INTERSPEECH 2021 Computational Paralinguistics Challenge: COVID-19 cough, COVID-19 speech, escalation & primates BW Schuller, A Batliner, C Bergler, C Mascolo, J Han, I Lefter, H Kaya, ... INTERSPEECH, 2021	151	2021
Exploring Automatic COVID-19 Diagnosis via voice and symptoms from Crowdsourced Data J Han, C Brown, J Chauhan, A Grammenos, A Hasthanasombat, ... IEEE International Conference on Acoustics, Speech, and Signal Processing …, 2021	115	2021
Breathing-based authentication on resource-constrained IoT devices using recurrent neural networks J Chauhan, S Seneviratne, Y Hu, A Misra, A Seneviratne, Y Lee Computer 51 (5), 60-67, 2018	103	2018
Sounds of COVID-19: exploring realistic performance of audio-based digital testing J Han, T Xia, D Spathis, E Bondareva, C Brown, J Chauhan, T Dang, ... NPJ digital medicine 5 (1), 16, 2022	100	2022
COVID-19 Sounds: A Large-Scale Audio Dataset for Digital Respiratory Screening CM Tong Xia, Dimitris Spathis, Chloe Brown, J Chauhan, Andreas Grammenos ... NeurIPS, 2021	93*	2021
Decentralized IoT edge nanoservice architecture for future gadget-free computing E Harjula, P Karhula, J Islam, T Leppänen, A Manzoor, M Liyanage, ... IEEE Access 7, 119856-119872, 2019	58	2019
Performance characterization of deep learning models for breathing-based authentication on resource-constrained devices J Chauhan, J Rajasegaran, S Seneviratne, A Misra, A Seneviratne, Y Lee Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2018	58	2018
Voice in ear: Spoofing-resistant and passphrase-independent body sound authentication Y Gao, Y Jin, J Chauhan, S Choi, J Li, Z Jin Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2021	56	2021
Performance evaluation of Yahoo! S4: A first look J Chauhan, SA Chowdhury, D Makaroff 2012 Seventh International Conference on P2P, Parallel, Grid, Cloud and …, 2012	52	2012
SonicASL: An acoustic-based sign language gesture recognizer using earphones Y Jin, Y Gao, Y Zhu, W Wang, J Li, S Choi, Z Li, J Chauhan, AK Dey, Z Jin Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2021	46	2021
Gesture-based Continuous Authentication for Wearable Devices: The Smart Glasses Use Case J Chauhan, HJ Asghar, MA Kaafar, A Mahanti Applied Cryptography and Network Security 9696, 648-665, 2016	44	2016
Contauth: Continual learning framework for behavioral-based user authentication J Chauhan, YD Kwon, P Hui, C Mascolo Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2020	42	2020
Characterization of early smartwatch apps J Chauhan, S Seneviratne, MA Kaafar, A Mahanti, A Seneviratne 2016 IEEE International Conference on Pervasive Computing and Communication …, 2016	42	2016
Exploring system performance of continual learning for mobile and embedded sensing applications YD Kwon, J Chauhan, A Kumar, P Hui, C Mascolo ACM/IEEE Symposium on Edge Computing (SEC), 2021	34	2021
Exploring longitudinal cough, breath, and voice data for COVID-19 progression prediction via sequential deep learning: model development and validation T Dang, J Han, T Xia, D Spathis, E Bondareva, C Siegele-Brown, ... Journal of medical Internet research 24 (6), e37004, 2022	33	2022
TinyTrain: Resource-Aware Task-Adaptive Sparse Training of DNNs at the Data-Scarce Edge YD Kwon, R Li, S Venieris, J Chauhan, ND Lane, C Mascolo Forty-first International Conference on Machine Learning, 2024	20*	2024
Enabling On-Device Smartphone GPU based Training: Lessons Learned A Das, YD Kwon, J Chauhan, C Mascolo PerFail@PerCom, 2022	16	2022
FastICARL: Fast Incremental Classifier and Representation Learning with Efficient Budget Allocation in Audio Sensing Applications YD Kwon, J Chauhan, C Mascolo INTERSPEECH, 2021	16	2021

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