Dimitris Spathis

Orcid: 0000-0001-9761-951X

According to our database1, Dimitris Spathis authored at least 49 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Online presence:

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Bibliography

2024
A collection of the accepted papers for the Human-Centric Representation Learning workshop at AAAI 2024.
CoRR, 2024

Learning under Label Noise through Few-Shot Human-in-the-Loop Refinement.
CoRR, 2024

Balancing Continual Learning and Fine-tuning for Human Activity Recognition.
CoRR, 2024

Evaluating Fairness in Self-supervised and Supervised Models for Sequential Data.
CoRR, 2024

CroSSL: Cross-modal Self-Supervised Learning for Time-series through Latent Masking.
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

Kaizen: Practical self-supervised continual learning with continual fine-tuning.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023
A summary of the ComParE COVID-19 challenges.
Frontiers Digit. Health, March, 2023

The first step is the hardest: Pitfalls of Representing and Tokenizing Temporal Data for Large Language Models.
CoRR, 2023

Latent Masking for Multimodal Self-supervised Learning in Health Timeseries.
CoRR, 2023

Practical self-supervised continual learning with continual fine-tuning.
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

The State of Algorithmic Fairness in Mobile Human-Computer Interaction.
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

WellComp 2023: Sixth International Workshop on Computing for Well-Being.
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

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

COVID-19 Disease Progression Prediction via Audio Signals: A Longitudinal Study.
CoRR, 2022

WellComp 2022: Fifth International Workshop on Computing for Well-Being.
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

Digital phenotyping and sensitive health data: Implications for data governance.
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

COVID-19 Sounds: A Large-Scale Audio Dataset for Digital Respiratory Screening.
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Federated mobile sensing for activity recognition.
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 Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 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
Exploring Contrastive Learning in Human Activity Recognition for Healthcare.
CoRR, 2020

Learning Generalizable Physiological Representations from Large-scale Wearable Data.
CoRR, 2020

Exploring Automatic Diagnosis of COVID-19 from Crowdsourced Respiratory Sound Data.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

2019
Interactive dimensionality reduction using similarity projections.
Knowl. Based Syst., 2019

Diagnosing asthma and chronic obstructive pulmonary disease with machine learning.
Health Informatics J., 2019

Passive mobile sensing and psychological traits for large scale mood prediction.
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
Fast, Visual and Interactive Semi-supervised Dimensionality Reduction.
Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

2017
Class-based Prediction Errors to Detect Hate Speech with Out-of-vocabulary Words.
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
Detecting Irony on Greek Political Tweets: A Text Mining Approach.
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


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