Dimitris Spathis

Citado por

	Total	Desde 2019
Citas	2024	1979
Índice h	19	19
Índice i10	27	27

580

290

145

435

2017201820192020202120222023202412 20 28 83 300 518 470 570

Acceso público

Ver todo

21 artículos

0 artículos

disponibles

no disponibles

Basado en requisitos de financiación

Coautores

Cecilia MascoloUniversity of CambridgeDirección de correo verificada de cl.cam.ac.uk
Tong XiaUniversity of CambridgeDirección de correo verificada de cam.ac.uk
Andreas GrammenosUniversity of CambridgeDirección de correo verificada de cl.cam.ac.uk
Pietro CicutaProfessor in Biological Physics, Cambridge UniversityDirección de correo verificada de cam.ac.uk
Ignacio Perez-PozueloUniversity of Cambridge & The Alan Turing InstituteDirección de correo verificada de alumni.brown.edu
Ting DangSenior Lecturer in AI for Health, The University of MelbourneDirección de correo verificada de unimelb.edu.au
Soren BrageUniversity of CambridgeDirección de correo verificada de mrc-epid.cam.ac.uk
Chi Ian TangNokia Bell Labs / University of CambridgeDirección de correo verificada de cl.cam.ac.uk
R. Andres FlotoUniversity of CambridgeDirección de correo verificada de cam.ac.uk
Fahim KawsarBell Labs and University of GlasgowDirección de correo verificada de nokia-bell-labs.com
Nicholas WarehamDirector, MRC Epidemiology Unit, University of CambridgeDirección de correo verificada de mrc-epid.cam.ac.uk
Jason RentfrowDepartment of Psychology, University of CambridgeDirección de correo verificada de cam.ac.uk
Björn SchullerProfessor, Technische Universität München (TUM) / Imperial College London & CSO, audEERINGDirección de correo verificada de tum.de
Athena VakaliProfessor of Computer Science, Aristotle UniversityDirección de correo verificada de csd.auth.gr
Katayoun (Kate) FarrahiUniversity of SouthamptonDirección de correo verificada de soton.ac.uk
Marios ConstantinidesCYENS Centre of ExcellenceDirección de correo verificada de ucl.ac.uk
Christian BerglerProfessor of Artificial Intelligence, Technical University of Applied Sciences Amberg-WeidenDirección de correo verificada de oth-aw.de
Sandra ServiaUniversity of CambridgeDirección de correo verificada de cam.ac.uk
Sofia YfantidouMarie Skłodowska-Curie ITN Fellow, MSc Big Data Management and AnalyticsDirección de correo verificada de csd.auth.gr
Akhil MathurMeta AIDirección de correo verificada de meta.com

Seguir

Dimitris Spathis

Otros nombresDimitrios Spathis

Google and University of Cambridge

Dirección de correo verificada de cl.cam.ac.uk - Página principal

machine learning self-supervised learning multimodal learning human-centered AI health sensing


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
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	532	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	151	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	136	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	134	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	110	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	90	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	88*	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	53*	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
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	24	2024
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	24	2022
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

El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.

Artículos 1–20

Citas por año

Citas duplicadas

Citas combinadas

Añadir coautoresCoautores

Seguir

Citado por

Coautores