Dimitris Spathis
Orcid: 0000-0001-9761-951X
According to our database1,
Dimitris Spathis
authored at least 55 papers
between 2013 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
<i>The first step is the hardest</i>: pitfalls of representing and tokenizing temporal data for large language models.
J. Am. Medical Informatics Assoc., 2024
StatioCL: Contrastive Learning for Time Series via Non-Stationary and Temporal Contrast.
CoRR, 2024
A collection of the accepted papers for the Human-Centric Representation Learning workshop at AAAI 2024.
CoRR, 2024
CoRR, 2024
CoRR, 2024
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024
OptiBreathe: An Earable-based PPG System for Continuous Respiration Rate, Breathing Phase, and Tidal Volume Monitoring.
Proceedings of the 25th International Workshop on Mobile Computing Systems and Applications, 2024
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
<i>StatioCL</i>: Contrastive Learning for Time Series via Non-Stationary and Temporal Contrast.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
2023
The first step is the hardest: Pitfalls of Representing and Tokenizing Temporal Data for Large Language Models.
CoRR, 2023
CoRR, 2023
Beyond Accuracy: A Critical Review of Fairness in Machine Learning for Mobile and Wearable Computing.
CoRR, 2023
UDAMA: Unsupervised Domain Adaptation through Multi-discriminator Adversarial Training with Noisy Labels Improves Cardio-fitness Prediction.
Proceedings of the Machine Learning for Healthcare Conference, 2023
Proceedings of the 25th International Conference on Mobile Human-Computer Interaction, 2023
Conditional Neural ODE Processes for Individual Disease Progression Forecasting: A Case Study on COVID-19.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
FairComp: Workshop on Fairness and Robustness in Machine Learning for Ubiquitous Computing.
Proceedings of the Adjunct Proceedings of the 2023 ACM International Joint Conference on Pervasive and Ubiquitous Computing & the 2023 ACM International Symposium on Wearable Computing, 2023
Proceedings of the Adjunct Proceedings of the 2023 ACM International Joint Conference on Pervasive and Ubiquitous Computing & the 2023 ACM International Symposium on Wearable Computing, 2023
2022
Breaking away from labels: The promise of self-supervised machine learning in intelligent health.
Patterns, 2022
Longitudinal cardio-respiratory fitness prediction through wearables in free-living environments.
npj Digit. Medicine, 2022
npj Digit. Medicine, 2022
Turning Silver into Gold: Domain Adaptation with Noisy Labels for Wearable Cardio-Respiratory Fitness Prediction.
CoRR, 2022
Looking for Out-of-Distribution Environments in Critical Care: A case study with the eICU Database.
CoRR, 2022
Longitudinal cardio-respiratory fitness prediction through free-living wearable sensors.
CoRR, 2022
CoRR, 2022
Proceedings of the Adjunct Proceedings of the 2022 ACM International Joint Conference on Pervasive and Ubiquitous Computing and the 2022 ACM International Symposium on Wearable Computers, 2022
Investigating Domain-agnostic Performance in Activity Recognition using Accelerometer Data.
Proceedings of the Adjunct Proceedings of the 2022 ACM International Joint Conference on Pervasive and Ubiquitous Computing and the 2022 ACM International Symposium on Wearable Computers, 2022
2021
Erratum to: Digital phenotyping and sensitive health data: Implications for data governance.
J. Am. Medical Informatics Assoc., 2021
J. Am. Medical Informatics Assoc., 2021
SelfHAR: Improving Human Activity Recognition through Self-training with Unlabeled Data.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2021
Evaluating Contrastive Learning on Wearable Timeseries for Downstream Clinical Outcomes.
CoRR, 2021
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021
Proceedings of the ACM MobiCom '21: The 27th Annual International Conference on Mobile Computing and Networking, 2021
Anticipatory Detection of Compulsive Body-focused Repetitive Behaviors with Wearables.
Proceedings of the MobileHCI '21: 23rd International Conference on Mobile Human-Computer Interaction, Toulouse & Virtual Event, France, 27 September 2021, 2021
The INTERSPEECH 2021 Computational Paralinguistics Challenge: COVID-19 Cough, COVID-19 Speech, Escalation & Primates.
Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021
Exploring Automatic COVID-19 Diagnosis via Voice and Symptoms from Crowdsourced Data.
Proceedings of the IEEE International Conference on Acoustics, 2021
Self-supervised transfer learning of physiological representations from free-living wearable data.
Proceedings of the ACM CHIL '21: ACM Conference on Health, 2021
2020
CoRR, 2020
CoRR, 2020
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020
2019
Knowl. Based Syst., 2019
Health Informatics J., 2019
Proceedings of the 13th EAI International Conference on Pervasive Computing Technologies for Healthcare, 2019
Sequence Multi-task Learning to Forecast Mental Wellbeing from Sparse Self-reported Data.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019
2018
Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018
2017
Proceedings of the First Workshop on Abusive Language Online, 2017
2016
A comparison between semi-supervised and supervised text mining techniques on detecting irony in greek political tweets.
Eng. Appl. Artif. Intell., 2016
Photo-Quality Evaluation based on Computational Aesthetics: Review of Feature Extraction Techniques.
CoRR, 2016
2015
Proceedings of the Workshop Proceedings of the 16th International Conference on Engineering Applications of Neural Networks, 2015
2013
Glocal News: An Attempt to Visualize the Discovery of Localized Top Local News, Globally.
Proceedings of the Advances in Conceptual Modeling, 2013