Dimitris Spathis

发表

Sequence Multi-task Learning to Forecast Mental Wellbeing from Sparse Self-reported Data

Cecilia Mascolo, Dimitris Spathis, Sandra Servia Rodríguez, 2019, KDD.

Passive mobile sensing and psychological traits for large scale mood prediction

Cecilia Mascolo, Dimitris Spathis, Sandra Servia Rodríguez, 2019, PervasiveHealth.

Learning Generalizable Physiological Representations from Large-scale Wearable Data pdf

Cecilia Mascolo, Dimitris Spathis, Ignacio Perez-Pozuelo, 2020, ArXiv.

Class-based Prediction Errors to Detect Hate Speech with Out-of-vocabulary Words

Gianluca Stringhini, Dimitris Spathis, Athena Vakali, 2017, ALW@ACL.

Interactive dimensionality reduction using similarity projections

Anastasios Tefas, Dimitris Spathis, Nikolaos Passalis, 2018, Knowl. Based Syst..

Diagnosing asthma and chronic obstructive pulmonary disease with machine learning

Dimitris Spathis, Panayiotis Vlamos, Dimitris Spathis, 2019, Health Informatics J..

Self-supervised transfer learning of physiological representations from free-living wearable data pdf

Cecilia Mascolo, Dimitris Spathis, Ignacio Perez-Pozuelo, 2020, CHIL.

Photo-Quality Evaluation based on Computational Aesthetics: Review of Feature Extraction Techniques pdf

Dimitris Spathis, Dimitris Spathis, 2016, ArXiv.

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

Cecilia Mascolo, Dimitris Spathis, Jagmohan Chauhan, 2020, KDD.

Detecting Irony on Greek Political Tweets: A Text Mining Approach

Dimitris Spathis, Katia Kermanidis, Katia Lida Kermanidis, 2015, EANN '15.

Exploring Contrastive Learning in Human Activity Recognition for Healthcare pdf

Cecilia Mascolo, Dimitris Spathis, Ignacio Perez-Pozuelo, 2020, ArXiv.

A comparison between semi-supervised and supervised text mining techniques on detecting irony in greek political tweets

Dimitris Spathis, Katia Kermanidis, Katia Lida Kermanidis, 2016, Eng. Appl. Artif. Intell..

Glocal News: An Attempt to Visualize the Discovery of Localized Top Local News, Globally

Athanasios K. Tsakalidis, Dimitris Spathis, Spyros Sioutas, 2013, ER Workshops.

Class-based Prediction Errors to Categorize Text with Out-of-vocabulary Words

Gianluca Stringhini, Dimitris Spathis, Ilias Leontiadis, 2017 .

Fast, Visual and Interactive Semi-supervised Dimensionality Reduction

Anastasios Tefas, Dimitris Spathis, Nikolaos Passalis, 2018, ECCV Workshops.

SelfHAR: Improving Human Activity Recognition through Self-training with Unlabeled Data

Cecilia Mascolo, Dimitris Spathis, Ignacio Perez-Pozuelo, 2021, Proc. ACM Interact. Mob. Wearable Ubiquitous Technol..

Exploring Automatic COVID-19 Diagnosis via Voice and Symptoms from Crowdsourced Data

Cecilia Mascolo, Dimitris Spathis, Jagmohan Chauhan, 2021, ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Anticipatory Detection of Compulsive Body-focused Repetitive Behaviors with Wearables

Cecilia Mascolo, Daniele Quercia, Dimitris Spathis, 2021, MobileHCI.

Digital phenotyping and sensitive health data: Implications for data governance

Dimitris Spathis, Jessica Morley, Ignacio Perez-Pozuelo, 2021, J. Am. Medical Informatics Assoc..

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

Cecilia Mascolo, Dimitris Spathis, Ting Dang, 2021, npj Digital Medicine.

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

Cecilia Mascolo, Dimitris Spathis, Anton Batliner, 2021, Interspeech.

Erratum to: Digital phenotyping and sensitive health data: Implications for data governance

Dimitris Spathis, Jessica Morley, Ignacio Perez-Pozuelo, 2021, J. Am. Medical Informatics Assoc..

Self-supervised transfer learning of physiological representations from free-living wearable data

Cecilia Mascolo, Dimitris Spathis, Ignacio Perez-Pozuelo, 2021, CHIL.