Dimitris Spathis
Title
Cited by
Cited by
Year
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
492020
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
452016
Diagnosing asthma and chronic obstructive pulmonary disease with machine learning
D Spathis, P Vlamos
Health Informatics Journal 25 (3), 2017
342017
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
292017
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
132019
Detecting Irony on Greek Political Tweets: A Text Mining Approach
B Charalampakis, D Spathis, E Kouslis, K Kermanidis
Intl. Conference on Engineering Applications of Neural Networks (EANN 2015), 2015
112015
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
102019
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
62021
Interactive dimensionality reduction using similarity projections
D Spathis, N Passalis, A Tefas
Knowledge-Based Systems 165, 77-91, 2019
52019
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
42021
Fast, Visual and Interactive Semi-supervised Dimensionality Reduction
D Spathis, N Passalis, A Tefas
ECCV Efficient Feature Representation Learning workshop (CEFRL @ ECCV 2018), 2018
32018
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
22021
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 and Ubiquitous Technologies (IMWUT), 2021
12021
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
12021
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
12020
Learning Generalizable Physiological Representations from Large-scale Wearable Data
D Spathis, I Perez-Pozuelo, S Brage, NJ Wareham, C Mascolo
NeurIPS Machine Learning for Mobile Health workshop (ML4MH @ NeurIPS 2020), 2020
12020
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, 2021
2021
Improving the Definition of Depressed Mood with Digital Phenotyping
M Taquet, D Spathis, J Rentfrow, C Mascolo, GM Goodwin
Available at SSRN 3725630, 2020
2020
Detecting sleep in free-living conditions without sleep-diaries: a device-agnostic, wearable heart rate sensing approach
I Perez-Pozuelo, M Posa, D Spathis, K Westgate, N Wareham, C Mascolo, ...
medRxiv, 2020
2020
Deep Sequence Learning on Mobile Data for Mood Prediction
D Spathis, S Servia-Rodriguez, K Farrahi, C Mascolo, J Rentfrow
UK Mobile, Wearable and Ubiquitous Systems Research Symposium (MobiUK 2018), 2018
2018
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