Chauhan, Jagmohan

Exploring Automatic Diagnosis of COVID-19 from Crowdsourced Respiratory Sound Data

Brown, C., Chauhan, J., Grammenos, A., Han, J., Hasthanasombat, A., Spathis, D., Xia, T., Cicuta, P., & Mascolo, C. (2020) · Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining

Phonocardiography and Auscultation TechniquesCOVID-19 diagnosis using AI

Cited by 447

BreathPrint: Breathing Acoustics-based User Authentication

Chauhan, J., Hu, Y., Seneviratne, S., Misra, A., Seneviratne, A., & Lee, Y. (2017) · Proceedings of the 15th Annual International Conference on Mobile Systems, Applications, and Services

User Authentication and Security SystemsBiometric Identification and Security

Cited by 170

Sounds of COVID-19: exploring realistic performance of audio-based digital testing

Han, J., Xia, T., Spathis, D., Bondareva, E., Brown, C., Chauhan, J., Dang, T., Grammenos, A., Hasthanasombat, A., Floto, A., et al. (2022) · npj Digital Medicine

Phonocardiography and Auscultation TechniquesCOVID-19 diagnosis using AI

Cited by 90

The INTERSPEECH 2021 Computational Paralinguistics Challenge: COVID-19 Cough, COVID-19 Speech, Escalation & Primates

Schuller, B. W., Batliner, A., Bergler, C., Mascolo, C., Han, J., Lefter, I., Kaya, H., Amiriparian, S., Baird, A., Stappen, L., et al. (2021) · Interspeech 2021

Speech Recognition and SynthesisEmotion and Mood Recognition

Cited by 89

Assessing the acceptability of a text messaging service and smartphone app to support patient adherence to medications prescribed for high blood pressure: a pilot study

Kassavou, A., A’Court, C. E., Chauhan, J., Brimicombe, J. D., Bhattacharya, D., Naughton, F., Hardeman, W., Mascolo, C., & Sutton, S. (2020) · Pilot and Feasibility Studies

Mobile Health and mHealth ApplicationsMedication Adherence and Compliance

Cited by 14

The benefit of the doubt: Uncertainty aware sensing for edge computing platforms

Qendro, L., Chauhan, J., Ramos, A. G. C. P., & Mascolo, C. (2021) · arXiv

Advanced Neural Network ApplicationsAdversarial Robustness in Machine Learning

Cited by 6