Glocal News: An Attempt to Visualize the Discovery of Localized Top Local News, Globally. - Dimitris Spathis; Theofilos Mouratidis; Spyros Sioutas; Athanasios K. Tsakalidis (ER Workshops, 2013)

Detecting Irony on Greek Political Tweets: A Text Mining Approach. - Basilis Charalampakis; Dimitris Spathis; Elias Kouslis; Katia Kermanidis (EANN Workshops, 2015)

Photo-Quality Evaluation based on Computational Aesthetics: Review of Feature Extraction Techniques. - Dimitris Spathis (CoRR, 2016)

A comparison between semi-supervised and supervised text mining techniques on detecting irony in greek political tweets. - Basilis Charalampakis; Dimitris Spathis; Elias Kouslis; Katia Kermanidis (Eng. Appl. Artif. Intell., 2016)

Class-based Prediction Errors to Detect Hate Speech with Out-of-vocabulary Words. - Joan Serrà; Ilias Leontiadis; Dimitris Spathis; Gianluca Stringhini; Jeremy Blackburn; Athena Vakali (ALW@ACL, 2017)

Fast, Visual and Interactive Semi-supervised Dimensionality Reduction. - Dimitris Spathis; Nikolaos Passalis; Anastasios Tefas (ECCV Workshops (4), 2018)

Sequence Multi-task Learning to Forecast Mental Wellbeing from Sparse Self-reported Data. - Dimitris Spathis; Sandra Servia Rodríguez; Katayoun Farrahi; Cecilia Mascolo; Jason Rentfrow (KDD, 2019)

Passive mobile sensing and psychological traits for large scale mood prediction. - Dimitris Spathis; Sandra Servia Rodríguez; Katayoun Farrahi; Cecilia Mascolo; Jason Rentfrow (PervasiveHealth, 2019)

Diagnosing asthma and chronic obstructive pulmonary disease with machine learning. - Dimitris Spathis; Panayiotis M. Vlamos (Health Informatics J., 2019)

Interactive dimensionality reduction using similarity projections. - Dimitris Spathis; Nikolaos Passalis; Anastasios Tefas (Knowl. Based Syst., 2019)

Exploring Automatic Diagnosis of COVID-19 from Crowdsourced Respiratory Sound Data. - Chloë Brown; Jagmohan Chauhan; Andreas Grammenos; Jing Han 010; Apinan Hasthanasombat; Dimitris Spathis; Tong Xia; Pietro Cicuta; Cecilia Mascolo (KDD, 2020)

Learning Generalizable Physiological Representations from Large-scale Wearable Data. - Dimitris Spathis; Ignacio Perez-Pozuelo; Søren Brage; Nicholas J. Wareham; Cecilia Mascolo (CoRR, 2020)

Exploring Contrastive Learning in Human Activity Recognition for Healthcare. - Chi Ian Tang; Ignacio Perez-Pozuelo; Dimitris Spathis; Cecilia Mascolo (CoRR, 2020)

Self-supervised transfer learning of physiological representations from free-living wearable data. - Dimitris Spathis; Ignacio Perez-Pozuelo; Søren Brage; Nicholas J. Wareham; Cecilia Mascolo (CHIL, 2021)

Exploring Automatic COVID-19 Diagnosis via Voice and Symptoms from Crowdsourced Data. - Jing Han 010; Chloë Brown; Jagmohan Chauhan; Andreas Grammenos; Apinan Hasthanasombat; Dimitris Spathis; Tong Xia; Pietro Cicuta; Cecilia Mascolo (ICASSP, 2021)

The INTERSPEECH 2021 Computational Paralinguistics Challenge: COVID-19 Cough, COVID-19 Speech, Escalation & Primates. - Björn W. Schuller; Anton Batliner; Christian Bergler; Cecilia Mascolo; Jing Han 010; Iulia Lefter; Heysem Kaya; Shahin Amiriparian; Alice Baird; Lukas Stappen; Sandra Ottl; Maurice Gerczuk; et al. (Interspeech, 2021)

Anticipatory Detection of Compulsive Body-focused Repetitive Behaviors with Wearables. - Benjamin Lucas Searle; Dimitris Spathis; Marios Constantinides; Daniele Quercia; Cecilia Mascolo (MobileHCI, 2021)

Federated mobile sensing for activity recognition. - Stefanos Laskaridis; Dimitris Spathis; Mário Almeida (MobiCom, 2021)

COVID-19 Sounds: A Large-Scale Audio Dataset for Digital Respiratory Screening. - Tong Xia; Dimitris Spathis; Chloë Brown; Jagmohan Chauhan; Andreas Grammenos; Jing Han 010; Apinan Hasthanasombat; Erika Bondareva; Ting Dang; Andres Floto; Pietro Cicuta; Cecilia Mascolo (NeurIPS Datasets and Benchmarks, 2021)

Evaluating Contrastive Learning on Wearable Timeseries for Downstream Clinical Outcomes. - Kevalee Shah; Dimitris Spathis; Chi Ian Tang; Cecilia Mascolo (CoRR, 2021)

SelfHAR: Improving Human Activity Recognition through Self-training with Unlabeled Data. - Chi Ian Tang; Ignacio Perez-Pozuelo; Dimitris Spathis; Søren Brage; Nicholas J. Wareham; Cecilia Mascolo (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2021)

Digital phenotyping and sensitive health data: Implications for data governance. - Ignacio Perez-Pozuelo; Dimitris Spathis; Jordan Gifford-Moore; Jessica Morley; Josh Cowls (J. Am. Medical Informatics Assoc., 2021)

Erratum to: Digital phenotyping and sensitive health data: Implications for data governance. - Ignacio Perez-Pozuelo; Dimitris Spathis; Jordan Gifford-Moore; Jessica Morley; Josh Cowls (J. Am. Medical Informatics Assoc., 2021)

Investigating Domain-agnostic Performance in Activity Recognition using Accelerometer Data. - Apinan Hasthanasombat; Abhirup Ghosh; Dimitris Spathis; Cecilia Mascolo (UbiComp/ISWC Adjunct, 2022)

WellComp 2022: Fifth International Workshop on Computing for Well-Being. - Dimitris Spathis; Miguel Bordallo López; Shkurta Gashi; Wataru Sasaki; Shin Katayama (UbiComp/ISWC Adjunct, 2022)

COVID-19 Disease Progression Prediction via Audio Signals: A Longitudinal Study. - Ting Dang; Jing Han 010; Tong Xia; Dimitris Spathis; Erika Bondareva; Chloë Brown; Jagmohan Chauhan; Andreas Grammenos; Apinan Hasthanasombat; Andres Floto; Pietro Cicuta; Cecilia Mascolo (CoRR, 2022)

Longitudinal cardio-respiratory fitness prediction through free-living wearable sensors. - Dimitris Spathis; Ignacio Perez-Pozuelo; Tomas I. Gonzales; Søren Brage; Nicholas J. Wareham; Cecilia Mascolo (CoRR, 2022)

Looking for Out-of-Distribution Environments in Critical Care: A case study with the eICU Database. - Dimitris Spathis; Stephanie L. Hyland (CoRR, 2022)

Turning Silver into Gold: Domain Adaptation with Noisy Labels for Wearable Cardio-Respiratory Fitness Prediction. - Yu Wu 021; Dimitris Spathis; Hong Jia; Ignacio Perez-Pozuelo; Tomas I. Gonzales; Søren Brage; Nicholas J. Wareham; Cecilia Mascolo (CoRR, 2022)

Sounds of COVID-19: exploring realistic performance of audio-based digital testing. - Jing Han 010; Tong Xia; Dimitris Spathis; Erika Bondareva; Chloë Brown; Jagmohan Chauhan; Ting Dang; Andreas Grammenos; Apinan Hasthanasombat; Andres Floto; Pietro Cicuta; Cecilia Mascolo (npj Digit. Medicine, 2022)

Longitudinal cardio-respiratory fitness prediction through wearables in free-living environments. - Dimitris Spathis; Ignacio Perez-Pozuelo; Tomas I. Gonzales; Yu Wu 021; Søren Brage; Nicholas J. Wareham; Cecilia Mascolo (npj Digit. Medicine, 2022)

Breaking away from labels: The promise of self-supervised machine learning in intelligent health. - Dimitris Spathis; Ignacio Perez-Pozuelo; Laia Marques-Fernandez; Cecilia Mascolo (Patterns, 2022)

WellComp 2023: Sixth International Workshop on Computing for Well-Being. - Shkurta Gashi; Dimitris Spathis; Ting Dang; Alexander Hoelzemann (UbiComp/ISWC Adjunct, 2023)

FairComp: Workshop on Fairness and Robustness in Machine Learning for Ubiquitous Computing. - Sofia Yfantidou; Dimitris Spathis; Marios Constantinides; Tong Xia; Niels van Berkel (UbiComp/ISWC Adjunct, 2023)

Conditional Neural ODE Processes for Individual Disease Progression Forecasting: A Case Study on COVID-19. - Ting Dang; Jing Han 010; Tong Xia; Erika Bondareva; Chloë Siegele-Brown; Jagmohan Chauhan; Andreas Grammenos; Dimitris Spathis; Pietro Cicuta; Cecilia Mascolo (KDD, 2023)

The State of Algorithmic Fairness in Mobile Human-Computer Interaction. - Sofia Yfantidou; Marios Constantinides; Dimitris Spathis; Athena Vakali; Daniele Quercia; Fahim Kawsar (MobileHCI (Companion), 2023)

UDAMA: Unsupervised Domain Adaptation through Multi-discriminator Adversarial Training with Noisy Labels Improves Cardio-fitness Prediction. - Yu Wu 021; Dimitris Spathis; Hong Jia; Ignacio Perez-Pozuelo; Tomas I. Gonzales; Søren Brage; Nicholas J. Wareham; Cecilia Mascolo (MLHC, 2023)

Beyond Accuracy: A Critical Review of Fairness in Machine Learning for Mobile and Wearable Computing. - Sofia Yfantidou; Marios Constantinides; Dimitris Spathis; Athena Vakali; Daniele Quercia; Fahim Kawsar (CoRR, 2023)

Practical self-supervised continual learning with continual fine-tuning. - Chi Ian Tang; Lorena Qendro; Dimitris Spathis; Fahim Kawsar; Cecilia Mascolo; Akhil Mathur (CoRR, 2023)

Latent Masking for Multimodal Self-supervised Learning in Health Timeseries. - Shohreh Deldari; Dimitris Spathis; Mohammad Malekzadeh; Fahim Kawsar; Flora D. Salim; Akhil Mathur (CoRR, 2023)

The first step is the hardest: Pitfalls of Representing and Tokenizing Temporal Data for Large Language Models. - Dimitris Spathis; Fahim Kawsar (CoRR, 2023)

A summary of the ComParE COVID-19 challenges. - Harry Coppock; Alican Akman; Christian Bergler; Maurice Gerczuk; Chloë Brown; Jagmohan Chauhan; Andreas Grammenos; Apinan Hasthanasombat; Dimitris Spathis; Tong Xia; Pietro Cicuta; Jing Han 010; et al. (Frontiers Digit. Health, 2023)

StatioCL: Contrastive Learning for Time Series via Non-Stationary and Temporal Contrast. - Yu Wu 021; Ting Dang; Dimitris Spathis; Hong Jia; Cecilia Mascolo (CIKM, 2024)

Using Self-supervised Learning Can Improve Model Fairness. - Sofia Yfantidou; Dimitris Spathis; Marios Constantinides; Athena Vakali; Daniele Quercia; Fahim Kawsar (KDD, 2024)

Kaizen: Practical self-supervised continual learning with continual fine-tuning. - Chi Ian Tang; Lorena Qendro; Dimitris Spathis; Fahim Kawsar; Cecilia Mascolo; Akhil Mathur (WACV, 2024)

OptiBreathe: An Earable-based PPG System for Continuous Respiration Rate, Breathing Phase, and Tidal Volume Monitoring. - Julia Romero; Andrea Ferlini; Dimitris Spathis; Ting Dang; Katayoun Farrahi; Fahim Kawsar; Alessandro Montanari (HotMobile, 2024)

CroSSL: Cross-modal Self-Supervised Learning for Time-series through Latent Masking. - Shohreh Deldari; Dimitris Spathis; Mohammad Malekzadeh; Fahim Kawsar; Flora D. Salim; Akhil Mathur (WSDM, 2024)

Evaluating Fairness in Self-supervised and Supervised Models for Sequential Data. - Sofia Yfantidou; Dimitris Spathis; Marios Constantinides; Athena Vakali; Daniele Quercia; Fahim Kawsar (CoRR, 2024)

Balancing Continual Learning and Fine-tuning for Human Activity Recognition. - Chi Ian Tang; Lorena Qendro; Dimitris Spathis; Fahim Kawsar; Akhil Mathur; Cecilia Mascolo (CoRR, 2024)

Learning under Label Noise through Few-Shot Human-in-the-Loop Refinement. - Aaqib Saeed; Dimitris Spathis; Jungwoo Oh; Edward Choi; Ali Etemad (CoRR, 2024)

A collection of the accepted papers for the Human-Centric Representation Learning workshop at AAAI 2024. - Dimitris Spathis; Aaqib Saeed; Ali Etemad; Sana Tonekaboni; Stefanos Laskaridis; Shohreh Deldari; Chi Ian Tang; Patrick Schwab; Shyam A. Tailor (CoRR, 2024)

StatioCL: Contrastive Learning for Time Series via Non-Stationary and Temporal Contrast. - Yu Wu 021; Ting Dang; Dimitris Spathis; Hong Jia; Cecilia Mascolo (CoRR, 2024)

The first step is the hardest: pitfalls of representing and tokenizing temporal data for large language models. - Dimitris Spathis; Fahim Kawsar (J. Am. Medical Informatics Assoc., 2024)

Beyond Prompting: Time2Lang - Bridging Time-Series Foundation Models and Large Language Models for Health Sensing. - Arvind Pillai; Dimitris Spathis; Subigya Nepal; Amanda C. Collins; Daniel M. Mackin; Michael V. Heinz; Tess Z. Griffin; Nicholas C. Jacobson; Andrew Campbell 001 (CHIL, 2025)

SoundCollage: Automated Discovery of New Classes in Audio Datasets. - Ryuhaerang Choi; Soumyajit Chatterjee; Dimitris Spathis; Sung-Ju Lee; Fahim Kawsar; Mohammad Malekzadeh (ICASSP, 2025)

PaPaGei: Open Foundation Models for Optical Physiological Signals. - Arvind Pillai; Dimitris Spathis; Fahim Kawsar; Mohammad Malekzadeh (ICLR, 2025)

Reliable Physiological Monitoring on the Wrist Using Generative Deep Learning to Address Poor Skin-Sensor Contact. - Manh Pham Hung; Matthew Yiwen Ho; Yiming Zhang; Dimitris Spathis; Aaqib Saeed; Dong Ma 001 (CoRR, 2025)

LSM-2: Learning from Incomplete Wearable Sensor Data. - Maxwell A. Xu; Girish Narayanswamy; Kumar Ayush; Dimitris Spathis; Shun Liao; Shyam A. Tailor; Ahmed Metwally 002; A. Ali Heydari; Yuwei Zhang; Jake Garrison; Samy Abdel-Ghaffar; Xuhai Xu; et al. (CoRR, 2025)