Dimitris Spathis

75 papers A* 6A 3B 1Misc 3Journal 46Unranked 16

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Wearable Foundation Models Should Go Beyond Static Encoders. CoRR Yu Yvonne Wu, Yuwei Zhang, Hyungjun Yoon, Ting Dang, Dimitris Spathis, Tong Xia, Qiang Yang, Jing Han, Dong Ma, Sung-Ju Lee, Cecilia Mascolo
2025	—	`conf`	Beyond Prompting: Time2Lang - Bridging Time-Series Foundation Models and Large Language Models for Health Sensing. CHIL Arvind Pillai, Dimitris Spathis, Subigya Nepal, Amanda C. Collins, Daniel M. Mackin, Michael V. Heinz, Tess Z. Griffin, Nicholas C. Jacobson, Andrew Campbell
2025	J	`jnl`	Beyond Prompting: Time2Lang - Bridging Time-Series Foundation Models and Large Language Models for Health Sensing. CoRR Arvind Pillai, Dimitris Spathis, Subigya Nepal, Amanda C. Collins, Daniel M. Mackin, Michael V. Heinz, Tess Z. Griffin, Nicholas C. Jacobson, Andrew Campbell
2025	J	`jnl`	LSM-2: Learning from Incomplete Wearable Sensor Data. CoRR Maxwell A. Xu, Girish Narayanswamy, Kumar Ayush, Dimitris Spathis, Shun Liao, Shyam A. Tailor, Ahmed Metwally, A. Ali Heydari, Yuwei Zhang, Jake Garrison, Samy Abdel-Ghaffar, Xuhai Xu, Ken Gu, Jacob E. Sunshine, Ming-Zher Poh, Yun Liu, Tim Althoff, Shrikanth Narayanan, Pushmeet Kohli, Mark Malhotra, Shwetak N. Patel, Yuzhe Yang, James M. Rehg, Xin Liu, Daniel McDuff
2025	A*	`conf`	PaPaGei: Open Foundation Models for Optical Physiological Signals. ICLR Arvind Pillai, Dimitris Spathis, Fahim Kawsar, Mohammad Malekzadeh
2025	J	`jnl`	Reliable Physiological Monitoring on the Wrist Using Generative Deep Learning to Address Poor Skin-Sensor Contact. CoRR Manh Pham Hung, Matthew Yiwen Ho, Yiming Zhang, Dimitris Spathis, Aaqib Saeed, Dong Ma
2025	Misc	`conf`	SoundCollage: Automated Discovery of New Classes in Audio Datasets. ICASSP Ryuhaerang Choi, Soumyajit Chatterjee, Dimitris Spathis, Sung-Ju Lee, Fahim Kawsar, Mohammad Malekzadeh
2024	J	`jnl`	A collection of the accepted papers for the Human-Centric Representation Learning workshop at AAAI 2024. CoRR Dimitris Spathis, Aaqib Saeed, Ali Etemad, Sana Tonekaboni, Stefanos Laskaridis, Shohreh Deldari, Chi Ian Tang, Patrick Schwab, Shyam A. Tailor
2024	J	`jnl`	Balancing Continual Learning and Fine-tuning for Human Activity Recognition. CoRR Chi Ian Tang, Lorena Qendro, Dimitris Spathis, Fahim Kawsar, Akhil Mathur, Cecilia Mascolo
2024	A	`conf`	CroSSL: Cross-modal Self-Supervised Learning for Time-series through Latent Masking. WSDM Shohreh Deldari, Dimitris Spathis, Mohammad Malekzadeh, Fahim Kawsar, Flora D. Salim, Akhil Mathur
2024	J	`jnl`	Evaluating Fairness in Self-supervised and Supervised Models for Sequential Data. CoRR Sofia Yfantidou, Dimitris Spathis, Marios Constantinides, Athena Vakali, Daniele Quercia, Fahim Kawsar
2024	—	`conf`	FairComp: 2nd International Workshop on Fairness and Robustness in Machine Learning for Ubiquitous Computing. UbiComp Companion Lakmal Meegahapola, Dimitris Spathis, Marios Constantinides, Han Zhang, Sofia Yfantidou, Niels van Berkel, Anind K. Dey
2024	A	`conf`	Kaizen: Practical self-supervised continual learning with continual fine-tuning. WACV Chi Ian Tang, Lorena Qendro, Dimitris Spathis, Fahim Kawsar, Cecilia Mascolo, Akhil Mathur
2024	J	`jnl`	Learning under Label Noise through Few-Shot Human-in-the-Loop Refinement. CoRR Aaqib Saeed, Dimitris Spathis, Jungwoo Oh, Edward Choi, Ali Etemad
2024	Misc	`conf`	OptiBreathe: An Earable-based PPG System for Continuous Respiration Rate, Breathing Phase, and Tidal Volume Monitoring. HotMobile Julia Lee Romero, Andrea Ferlini, Dimitris Spathis, Ting Dang, Katayoun Farrahi, Fahim Kawsar, Alessandro Montanari
2024	J	`jnl`	PaPaGei: Open Foundation Models for Optical Physiological Signals. CoRR Arvind Pillai, Dimitris Spathis, Fahim Kawsar, Mohammad Malekzadeh
2024	J	`jnl`	SoundCollage: Automated Discovery of New Classes in Audio Datasets. CoRR Ryuhaerang Choi, Soumyajit Chatterjee, Dimitris Spathis, Sung-Ju Lee, Fahim Kawsar, Mohammad Malekzadeh
2024	J	`jnl`	StatioCL: Contrastive Learning for Time Series via Non-Stationary and Temporal Contrast. CoRR Yu Wu, Ting Dang, Dimitris Spathis, Hong Jia, Cecilia Mascolo
2024	A*	`conf`	Using Self-supervised Learning Can Improve Model Fairness. KDD Sofia Yfantidou, Dimitris Spathis, Marios Constantinides, Athena Vakali, Daniele Quercia, Fahim Kawsar
2024	J	`jnl`	Using Self-supervised Learning Can Improve Model Fairness. CoRR Sofia Yfantidou, Dimitris Spathis, Marios Constantinides, Athena Vakali, Daniele Quercia, Fahim Kawsar
2024	—	`conf`	WellComp 2024: Seventh International Workshop on Computing for Well-Being. UbiComp Companion Ting Dang, Shkurta Gashi, Dimitris Spathis, Alexander Hoelzemann
2023	J	`jnl`	A summary of the ComParE COVID-19 challenges. Frontiers Digit. Health Harry Coppock, Alican Akman, Christian Bergler, Maurice Gerczuk, Chloë Brown, Jagmohan Chauhan, Andreas Grammenos, Apinan Hasthanasombat, Dimitris Spathis, Tong Xia, Pietro Cicuta, Jing Han, Shahin Amiriparian, Alice Baird, Lukas Stappen, Sandra Ottl, Panagiotis Tzirakis, Anton Batliner, Cecilia Mascolo, Björn W. Schuller
2023	J	`jnl`	Beyond Accuracy: A Critical Review of Fairness in Machine Learning for Mobile and Wearable Computing. CoRR Sofia Yfantidou, Marios Constantinides, Dimitris Spathis, Athena Vakali, Daniele Quercia, Fahim Kawsar
2023	A*	`conf`	Conditional Neural ODE Processes for Individual Disease Progression Forecasting: A Case Study on COVID-19. KDD Ting Dang, Jing Han, Tong Xia, Erika Bondareva, Chloë Siegele-Brown, Jagmohan Chauhan, Andreas Grammenos, Dimitris Spathis, Pietro Cicuta, Cecilia Mascolo
2023	—	`conf`	FairComp: Workshop on Fairness and Robustness in Machine Learning for Ubiquitous Computing. UbiComp/ISWC Adjunct Sofia Yfantidou, Dimitris Spathis, Marios Constantinides, Tong Xia, Niels van Berkel
2023	J	`jnl`	FairComp: Workshop on Fairness and Robustness in Machine Learning for Ubiquitous Computing. CoRR Sofia Yfantidou, Dimitris Spathis, Marios Constantinides, Tong Xia, Niels van Berkel
2023	J	`jnl`	Latent Masking for Multimodal Self-supervised Learning in Health Timeseries. CoRR Shohreh Deldari, Dimitris Spathis, Mohammad Malekzadeh, Fahim Kawsar, Flora D. Salim, Akhil Mathur
2023	J	`jnl`	Practical self-supervised continual learning with continual fine-tuning. CoRR Chi Ian Tang, Lorena Qendro, Dimitris Spathis, Fahim Kawsar, Cecilia Mascolo, Akhil Mathur
2023	—	`conf`	The State of Algorithmic Fairness in Mobile Human-Computer Interaction. MobileHCI (Companion) Sofia Yfantidou, Marios Constantinides, Dimitris Spathis, Athena Vakali, Daniele Quercia, Fahim Kawsar
2023	J	`jnl`	The State of Algorithmic Fairness in Mobile Human-Computer Interaction. CoRR Sofia Yfantidou, Marios Constantinides, Dimitris Spathis, Athena Vakali, Daniele Quercia, Fahim Kawsar
2023	J	`jnl`	The first step is the hardest: Pitfalls of Representing and Tokenizing Temporal Data for Large Language Models. CoRR Dimitris Spathis, Fahim Kawsar
2023	—	`conf`	UDAMA: Unsupervised Domain Adaptation through Multi-discriminator Adversarial Training with Noisy Labels Improves Cardio-fitness Prediction. MLHC Yu Wu, Dimitris Spathis, Hong Jia, Ignacio Perez-Pozuelo, Tomas I. Gonzales, Søren Brage, Nicholas J. Wareham, Cecilia Mascolo
2023	J	`jnl`	UDAMA: Unsupervised Domain Adaptation through Multi-discriminator Adversarial Training with Noisy Labels Improves Cardio-fitness Prediction. CoRR Yu Wu, Dimitris Spathis, Hong Jia, Ignacio Perez-Pozuelo, Tomas I. Gonzales, Søren Brage, Nicholas J. Wareham, Cecilia Mascolo
2023	—	`conf`	WellComp 2023: Sixth International Workshop on Computing for Well-Being. UbiComp/ISWC Adjunct Shkurta Gashi, Dimitris Spathis, Ting Dang, Alexander Hoelzemann
2022	J	`jnl`	A Summary of the ComParE COVID-19 Challenges. CoRR Harry Coppock, Alican Akman, Christian Bergler, Maurice Gerczuk, Chloë Brown, Jagmohan Chauhan, Andreas Grammenos, Apinan Hasthanasombat, Dimitris Spathis, Tong Xia, Pietro Cicuta, Jing Han, Shahin Amiriparian, Alice Baird, Lukas Stappen, Sandra Ottl, Panagiotis Tzirakis, Anton Batliner, Cecilia Mascolo, Björn W. Schuller
2022	J	`jnl`	Breaking away from labels: The promise of self-supervised machine learning in intelligent health. Patterns Dimitris Spathis, Ignacio Perez-Pozuelo, Laia Marques-Fernandez, Cecilia Mascolo
2022	J	`jnl`	COVID-19 Disease Progression Prediction via Audio Signals: A Longitudinal Study. CoRR Ting Dang, Jing Han, Tong Xia, Dimitris Spathis, Erika Bondareva, Chloë Brown, Jagmohan Chauhan, Andreas Grammenos, Apinan Hasthanasombat, Andres Floto, Pietro Cicuta, Cecilia Mascolo
2022	—	`conf`	Investigating Domain-agnostic Performance in Activity Recognition using Accelerometer Data. UbiComp/ISWC Adjunct Apinan Hasthanasombat, Abhirup Ghosh, Dimitris Spathis, Cecilia Mascolo
2022	J	`jnl`	Longitudinal cardio-respiratory fitness prediction through free-living wearable sensors. CoRR Dimitris Spathis, Ignacio Perez-Pozuelo, Tomas I. Gonzales, Søren Brage, Nicholas J. Wareham, Cecilia Mascolo
2022	J	`jnl`	Longitudinal cardio-respiratory fitness prediction through wearables in free-living environments. npj Digit. Medicine Dimitris Spathis, Ignacio Perez-Pozuelo, Tomas I. Gonzales, Yu Wu, Søren Brage, Nicholas J. Wareham, Cecilia Mascolo
2022	J	`jnl`	Looking for Out-of-Distribution Environments in Critical Care: A case study with the eICU Database. CoRR Dimitris Spathis, Stephanie L. Hyland
2022	J	`jnl`	Sounds of COVID-19: exploring realistic performance of audio-based digital testing. npj Digit. Medicine Jing Han, Tong Xia, Dimitris Spathis, Erika Bondareva, Chloë Brown, Jagmohan Chauhan, Ting Dang, Andreas Grammenos, Apinan Hasthanasombat, Andres Floto, Pietro Cicuta, Cecilia Mascolo
2022	J	`jnl`	Turning Silver into Gold: Domain Adaptation with Noisy Labels for Wearable Cardio-Respiratory Fitness Prediction. CoRR Yu Wu, Dimitris Spathis, Hong Jia, Ignacio Perez-Pozuelo, Tomas I. Gonzales, Søren Brage, Nicholas J. Wareham, Cecilia Mascolo
2022	—	`conf`	WellComp 2022: Fifth International Workshop on Computing for Well-Being. UbiComp/ISWC Adjunct Dimitris Spathis, Miguel Bordallo López, Shkurta Gashi, Wataru Sasaki, Shin Katayama
2021	B	`conf`	Anticipatory Detection of Compulsive Body-focused Repetitive Behaviors with Wearables. MobileHCI Benjamin Lucas Searle, Dimitris Spathis, Marios Constantinides, Daniele Quercia, Cecilia Mascolo
2021	J	`jnl`	Anticipatory Detection of Compulsive Body-focused Repetitive Behaviors with Wearables. CoRR Benjamin Lucas Searle, Dimitris Spathis, Marios Constantinides, Daniele Quercia, Cecilia Mascolo
2021	—	`conf`	COVID-19 Sounds: A Large-Scale Audio Dataset for Digital Respiratory Screening. NeurIPS Datasets and Benchmarks Tong Xia, Dimitris Spathis, Chloë Brown, Jagmohan Chauhan, Andreas Grammenos, Jing Han, Apinan Hasthanasombat, Erika Bondareva, Ting Dang, Andres Floto, Pietro Cicuta, Cecilia Mascolo
2021	J	`jnl`	Digital phenotyping and sensitive health data: Implications for data governance. J. Am. Medical Informatics Assoc. Ignacio Perez-Pozuelo, Dimitris Spathis, Jordan Gifford-Moore, Jessica Morley, Josh Cowls
2021	J	`jnl`	Erratum to: Digital phenotyping and sensitive health data: Implications for data governance. J. Am. Medical Informatics Assoc. Ignacio Perez-Pozuelo, Dimitris Spathis, Jordan Gifford-Moore, Jessica Morley, Josh Cowls
2021	J	`jnl`	Evaluating Contrastive Learning on Wearable Timeseries for Downstream Clinical Outcomes. CoRR Kevalee Shah, Dimitris Spathis, Chi Ian Tang, Cecilia Mascolo
2021	Misc	`conf`	Exploring Automatic COVID-19 Diagnosis via Voice and Symptoms from Crowdsourced Data. ICASSP Jing Han, Chloë Brown, Jagmohan Chauhan, Andreas Grammenos, Apinan Hasthanasombat, Dimitris Spathis, Tong Xia, Pietro Cicuta, Cecilia Mascolo
2021	J	`jnl`	Exploring Automatic COVID-19 Diagnosis via voice and symptoms from Crowdsourced Data. CoRR Jing Han, Chloë Brown, Jagmohan Chauhan, Andreas Grammenos, Apinan Hasthanasombat, Dimitris Spathis, Tong Xia, Pietro Cicuta, Cecilia Mascolo
2021	A*	`conf`	Federated mobile sensing for activity recognition. MobiCom Stefanos Laskaridis, Dimitris Spathis, Mário Almeida
2021	—	`conf`	Self-supervised transfer learning of physiological representations from free-living wearable data. CHIL Dimitris Spathis, Ignacio Perez-Pozuelo, Søren Brage, Nicholas J. Wareham, Cecilia Mascolo
2021	J	`jnl`	SelfHAR: Improving Human Activity Recognition through Self-training with Unlabeled Data. CoRR Chi Ian Tang, Ignacio Perez-Pozuelo, Dimitris Spathis, Søren Brage, Nicholas J. Wareham, Cecilia Mascolo
2021	J	`jnl`	SelfHAR: Improving Human Activity Recognition through Self-training with Unlabeled Data. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. Chi Ian Tang, Ignacio Perez-Pozuelo, Dimitris Spathis, Søren Brage, Nicholas J. Wareham, Cecilia Mascolo
2021	J	`jnl`	Sounds of COVID-19: exploring realistic performance of audio-based digital testing. CoRR Jing Han, Tong Xia, Dimitris Spathis, Erika Bondareva, Chloë Brown, Jagmohan Chauhan, Ting Dang, Andreas Grammenos, Apinan Hasthanasombat, Andres Floto, Pietro Cicuta, Cecilia Mascolo
2021	A	`conf`	The INTERSPEECH 2021 Computational Paralinguistics Challenge: COVID-19 Cough, COVID-19 Speech, Escalation & Primates. Interspeech Björn W. Schuller, Anton Batliner, Christian Bergler, Cecilia Mascolo, Jing Han, Iulia Lefter, Heysem Kaya, Shahin Amiriparian, Alice Baird, Lukas Stappen, Sandra Ottl, Maurice Gerczuk, Panagiotis Tzirakis, Chloë Brown, Jagmohan Chauhan, Andreas Grammenos, Apinan Hasthanasombat, Dimitris Spathis, Tong Xia, Pietro Cicuta, Léon J. M. Rothkrantz, Joeri A. Zwerts, Jelle Treep, Casper S. Kaandorp
2021	J	`jnl`	The INTERSPEECH 2021 Computational Paralinguistics Challenge: COVID-19 Cough, COVID-19 Speech, Escalation & Primates. CoRR Björn W. Schuller, Anton Batliner, Christian Bergler, Cecilia Mascolo, Jing Han, Iulia Lefter, Heysem Kaya, Shahin Amiriparian, Alice Baird, Lukas Stappen, Sandra Ottl, Maurice Gerczuk, Panagiotis Tzirakis, Chloë Brown, Jagmohan Chauhan, Andreas Grammenos, Apinan Hasthanasombat, Dimitris Spathis, Tong Xia, Pietro Cicuta, Léon J. M. Rothkrantz, Joeri A. Zwerts, Jelle Treep, Casper S. Kaandorp
2020	A*	`conf`	Exploring Automatic Diagnosis of COVID-19 from Crowdsourced Respiratory Sound Data. KDD Chloë Brown, Jagmohan Chauhan, Andreas Grammenos, Jing Han, Apinan Hasthanasombat, Dimitris Spathis, Tong Xia, Pietro Cicuta, Cecilia Mascolo
2020	J	`jnl`	Exploring Automatic Diagnosis of COVID-19 from Crowdsourced Respiratory Sound Data. CoRR Chloë Brown, Jagmohan Chauhan, Andreas Grammenos, Jing Han, Apinan Hasthanasombat, Dimitris Spathis, Tong Xia, Pietro Cicuta, Cecilia Mascolo
2020	J	`jnl`	Exploring Contrastive Learning in Human Activity Recognition for Healthcare. CoRR Chi Ian Tang, Ignacio Perez-Pozuelo, Dimitris Spathis, Cecilia Mascolo
2020	J	`jnl`	Learning Generalizable Physiological Representations from Large-scale Wearable Data. CoRR Dimitris Spathis, Ignacio Perez-Pozuelo, Søren Brage, Nicholas J. Wareham, Cecilia Mascolo
2020	J	`jnl`	Self-supervised transfer learning of physiological representations from free-living wearable data. CoRR Dimitris Spathis, Ignacio Perez-Pozuelo, Søren Brage, Nicholas J. Wareham, Cecilia Mascolo
2019	J	`jnl`	Diagnosing asthma and chronic obstructive pulmonary disease with machine learning. Health Informatics J. Dimitris Spathis, Panayiotis M. Vlamos
2019	J	`jnl`	Interactive dimensionality reduction using similarity projections. Knowl. Based Syst. Dimitris Spathis, Nikolaos Passalis, Anastasios Tefas
2019	—	`conf`	Passive mobile sensing and psychological traits for large scale mood prediction. PervasiveHealth Dimitris Spathis, Sandra Servia Rodríguez, Katayoun Farrahi, Cecilia Mascolo, Jason Rentfrow
2019	A*	`conf`	Sequence Multi-task Learning to Forecast Mental Wellbeing from Sparse Self-reported Data. KDD Dimitris Spathis, Sandra Servia Rodríguez, Katayoun Farrahi, Cecilia Mascolo, Jason Rentfrow
2018	—	`conf`	Fast, Visual and Interactive Semi-supervised Dimensionality Reduction. ECCV Workshops (4) Dimitris Spathis, Nikolaos Passalis, Anastasios Tefas
2018	J	`jnl`	Interactive dimensionality reduction using similarity projections. CoRR Dimitris Spathis, Nikolaos Passalis, Anastasios Tefas
2017	—	`conf`	Class-based Prediction Errors to Detect Hate Speech with Out-of-vocabulary Words. ALW@ACL Joan Serrà, Ilias Leontiadis, Dimitris Spathis, Gianluca Stringhini, Jeremy Blackburn, Athena Vakali
2016	J	`jnl`	A comparison between semi-supervised and supervised text mining techniques on detecting irony in greek political tweets. Eng. Appl. Artif. Intell. Basilis Charalampakis, Dimitris Spathis, Elias Kouslis, Katia Kermanidis
2016	J	`jnl`	Photo-Quality Evaluation based on Computational Aesthetics: Review of Feature Extraction Techniques. CoRR Dimitris Spathis
2015	—	`conf`	Detecting Irony on Greek Political Tweets: A Text Mining Approach. EANN Workshops Basilis Charalampakis, Dimitris Spathis, Elias Kouslis, Katia Kermanidis
2013	—	`conf`	Glocal News: An Attempt to Visualize the Discovery of Localized Top Local News, Globally. ER Workshops Dimitris Spathis, Theofilos Mouratidis, Spyros Sioutas, Athanasios K. Tsakalidis