Jagmohan Chauhan

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Cecilia MascoloUniversity of CambridgeAdresă de e-mail confirmată pe cl.cam.ac.uk
Aruna SeneviratneProfessor of Telecommunications, University of New South WalesAdresă de e-mail confirmată pe unsw.edu.au
Young D. KwonSamsung AI Center-Cambridge; University of CambridgeAdresă de e-mail confirmată pe cam.ac.uk
Suranga SeneviratneUniversity of SydneyAdresă de e-mail confirmată pe sydney.edu.au
Dr Archan MISRA _Vice Provost (Research) & Professor, School of Computing and Information SystemsAdresă de e-mail confirmată pe smu.edu.sg
Youngki LeeSeoul National UniversityAdresă de e-mail confirmată pe snu.ac.kr
Björn SchullerProfessor, Technische Universität München (TUM) / Imperial College London & CSO, audEERINGAdresă de e-mail confirmată pe tum.de
Stephen SuttonProfessor of Behavioural Science, University of CambridgeAdresă de e-mail confirmată pe medschl.cam.ac.uk
Zhanpeng JinXinshi Endowed Professor, South China University of TechnologyAdresă de e-mail confirmată pe scut.edu.cn
Yang GaoEast China Normal UniversityAdresă de e-mail confirmată pe cs.ecnu.edu.cn
Stylianos I. VenierisSenior Research Scientist @ Samsung AI, Cambridge, UKAdresă de e-mail confirmată pe samsung.com
Pan HuiChair Professor, Nokia Chair in Data Science, FREng & IEEE Fellow (HKUST & University of Helsinki)Adresă de e-mail confirmată pe cse.ust.hk
Diego PerinoMetaAdresă de e-mail confirmată pe meta.com
Nicholas LaneUniversity of Cambridge and Flower LabsAdresă de e-mail confirmată pe cam.ac.uk
Rui LiSamsung AI Center, CambridgeAdresă de e-mail confirmată pe samsung.com
Anind K. DeyUniversity of WashingtonAdresă de e-mail confirmată pe uw.edu
Geoff V MerrettProfessor of Electronic and Software Systems, University of SouthamptonAdresă de e-mail confirmată pe ecs.soton.ac.uk
Lik-Hang LeeAssistant Professor, The Hong Kong Polytechnic University (Previously at KAIST, & Uni. Oulu)Adresă de e-mail confirmată pe polyu.edu.hk
Sasu TarkomaProfessor of Computer Science, University of HelsinkiAdresă de e-mail confirmată pe helsinki.fi
Jonathon HareProfessor of Machine Learning and Computer Vision, University of Southampton, United KingdomAdresă de e-mail confirmată pe ecs.soton.ac.uk

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Jagmohan Chauhan

Assistant Professor, ECS, University of Southampton

Adresă de e-mail confirmată pe soton.ac.uk - Pagina de pornire

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


Titlu Sortați după descrierea bibliografică Sortați după an Sortați după titlu	Citat de Citat de	Anul
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	545	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	152	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	102	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	95*	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 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	34	2022
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
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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