| Exploring Automatic Diagnosis of COVID-19 from Crowdsourced Respiratory Sound Data C Brown, J Chauhan, A Grammenos, J Han, A Hasthanasombat, ... ACM Conference on Knowledge Discovery & Data Mining (KDD 2020), 2020 | 530 | 2020 |
| 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, ... Conference of International Speech Communication Association (Interspeech 2021), 2021 | 150 | 2021 |
| Exploring Contrastive Learning in Human Activity Recognition for Healthcare CI Tang, I Perez-Pozuelo, D Spathis, C Mascolo NeurIPS Machine Learning for Mobile Health workshop (ML4MH @ NeurIPS 2020), 2020 | 135 | 2020 |
| SelfHAR: Improving Human Activity Recognition through Self-training with Unlabeled Data CI Tang, I Perez-Pozuelo, D Spathis, S Brage, N Wareham, C Mascolo Proc. ACM on Interactive, Mobile, Wearable & Ubiquitous Technologies (Ubicomp), 2021 | 133 | 2021 |
| Diagnosing asthma and chronic obstructive pulmonary disease with machine learning D Spathis, P Vlamos Health Informatics Journal 25 (3), 2017 | 124 | 2017 |
| Exploring Automatic COVID-19 Diagnosis via voice and symptoms from Crowdsourced Data J Han, C Brown, J Chauhan, A Grammenos, A Hasthanasombat, ... IEEE Conference on Acoustics, Speech, and Signal Processing (ICASSP 2021), 2021 | 107 | 2021 |
| 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, ... Nature Digital Medicine (npj Digit. Med.), 2022 | 88 | 2022 |
| COVID-19 Sounds: A Large-Scale Audio Dataset for Digital Respiratory Screening T Xia*, D Spathis*, J Ch, A Grammenos, J Han, A Hasthanasombat, ... Conference on Neural Information Processing Systems (NeurIPS 2021), 2021 | 87* | 2021 |
| A comparison between semi-supervised and supervised text mining techniques on detecting irony in greek political tweets B Charalampakis, D Spathis, E Kouslis, K Kermanidis Engineering Applications of Artificial Intelligence 51, 50-57, 2016 | 84 | 2016 |
| Wearables, smartphones, and artificial intelligence for digital phenotyping and health I Perez-Pozuelo, D Spathis, E Clifton, C Mascolo Digital Health (Elsevier), 33-54, 2021 | 52* | 2021 |
| Passive mobile sensing and psychological traits for large scale mood prediction D Spathis, S Servia-Rodriguez, K Farrahi, C Mascolo, J Rentfrow Conf. on Pervasive Computing Technologies for Healthcare (PervasiveHealth 2019), 2019 | 50 | 2019 |
| Universals and variations in musical preferences: A study of preferential reactions to Western music in 53 countries. DM Greenberg, SJ Wride, DA Snowden, D Spathis, J Potter, PJ Rentfrow Journal of Personality and Social Psychology 122 (2), 286, 2022 | 48 | 2022 |
| Class-based Prediction Errors to Detect Hate Speech with Out-of-vocabulary Words J Serra, I Leontiadis, D Spathis, G Stringhini, J Blackburn, A Vakali ACL Abusive Language Online workshop (ALW @ ACL 2017), 2017 | 48 | 2017 |
| Self-supervised transfer learning of physiological representations from free-living wearable data D Spathis, I Perez-Pozuelo, S Brage, NJ Wareham, C Mascolo ACM Conference on Health, Inference, and Learning (CHIL 2021), 2021 | 40 | 2021 |
| Breaking away from labels: The promise of self-supervised machine learning in intelligent health D Spathis, I Perez-Pozuelo, L Marques-Fernandez, C Mascolo Patterns 3 (2), 100410, 2022 | 32 | 2022 |
| Exploring Longitudinal Cough, Breath, and Voice Data for COVID-19 Disease Progression Prediction via Sequential Deep Learning: Model Development and Validation T Dang, J Han, T Xia, D Spathis, E Bondareva, C Brown, J Chauhan, ... Journal of Medical Internet Research (JMIR), 2022 | 32* | 2022 |
| Sequence Multi-task Learning to Forecast Mental Wellbeing from Sparse Self-reported Data D Spathis, S Servia-Rodriguez, K Farrahi, C Mascolo, J Rentfrow ACM Conference on Knowledge Discovery & Data Mining (KDD 2019), 2019 | 30 | 2019 |
| Detecting sleep outside the clinic using wearable heart rate devices I Perez-Pozuelo, M Posa, D Spathis, K Westgate, N Wareham, C Mascolo, ... Scientific Reports 12 (1), 1-13, 2022 | 23 | 2022 |
| The first step is the hardest: Pitfalls of Representing and Tokenizing Temporal Data for Large Language Models D Spathis, F Kawsar Journal of the American Medical Informatics Association (JAMIA), 2024 | 22 | 2024 |
| Digital phenotyping and sensitive health data: Implications for data governance I Perez-Pozuelo, D Spathis, J Gifford-Moore, J Morley, J Cowls Journal of the American Medical Informatics Association (JAMIA) 28 (9), 2021 | 17 | 2021 |
Cecilia MascoloUniversity of CambridgeEmail confirmado em cl.cam.ac.uk
