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2020 – today
- 2023
[j10]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
:
A summary of the ComParE COVID-19 challenges. Frontiers Digit. Health 5 (2023)- [c15]Ting Dang, Jing Han, Tong Xia, Erika Bondareva, Chloë Siegele-Brown, Jagmohan Chauhan, Andreas Grammenos, Dimitris Spathis, Pietro Cicuta, Cecilia Mascolo:
Conditional Neural ODE Processes for Individual Disease Progression Forecasting: A Case Study on COVID-19. KDD 2023: 3914-3925 - [c14]Sofia Yfantidou, Marios Constantinides, Dimitris Spathis, Athena Vakali, Daniele Quercia, Fahim Kawsar:
The State of Algorithmic Fairness in Mobile Human-Computer Interaction. MobileHCI (Companion) 2023: 19:1-19:7 - [i24]Sofia Yfantidou, Marios Constantinides, Dimitris Spathis, Athena Vakali, Daniele Quercia, Fahim Kawsar:
Beyond Accuracy: A Critical Review of Fairness in Machine Learning for Mobile and Wearable Computing. CoRR abs/2303.15585 (2023) - [i23]Chi Ian Tang, Lorena Qendro, Dimitris Spathis, Fahim Kawsar, Cecilia Mascolo, Akhil Mathur:
Practical self-supervised continual learning with continual fine-tuning. CoRR abs/2303.17235 (2023) - [i22]Sofia Yfantidou, Marios Constantinides, Dimitris Spathis, Athena Vakali, Daniele Quercia, Fahim Kawsar:
The State of Algorithmic Fairness in Mobile Human-Computer Interaction. CoRR abs/2307.12075 (2023) - [i21]Yu Wu, Dimitris Spathis, Hong Jia, Ignacio Perez-Pozuelo, Tomas I. Gonzales, Søren Brage, Nicholas J. Wareham, Cecilia Mascolo:
UDAMA: Unsupervised Domain Adaptation through Multi-discriminator Adversarial Training with Noisy Labels Improves Cardio-fitness Prediction. CoRR abs/2307.16651 (2023) - [i20]Shohreh Deldari, Dimitris Spathis, Mohammad Malekzadeh, Fahim Kawsar, Flora D. Salim, Akhil Mathur:
Latent Masking for Multimodal Self-supervised Learning in Health Timeseries. CoRR abs/2307.16847 (2023) - [i19]Dimitris Spathis, Fahim Kawsar:
The first step is the hardest: Pitfalls of Representing and Tokenizing Temporal Data for Large Language Models. CoRR abs/2309.06236 (2023) - [i18]Sofia Yfantidou, Dimitris Spathis, Marios Constantinides, Tong Xia, Niels van Berkel:
FairComp: Workshop on Fairness and Robustness in Machine Learning for Ubiquitous Computing. CoRR abs/2309.12877 (2023) - 2022
- [j9]Jing Han, Tong Xia, Dimitris Spathis, Erika Bondareva, Chloë Brown, Jagmohan Chauhan, Ting Dang, Andreas Grammenos, Apinan Hasthanasombat, Andres Floto, Pietro Cicuta, Cecilia Mascolo:
Sounds of COVID-19: exploring realistic performance of audio-based digital testing. npj Digit. Medicine 5 (2022) - [j8]Dimitris Spathis, Ignacio Perez-Pozuelo, Tomas I. Gonzales, Yu Wu, Søren Brage, Nicholas J. Wareham, Cecilia Mascolo:
Longitudinal cardio-respiratory fitness prediction through wearables in free-living environments. npj Digit. Medicine 5 (2022) - [j7]Dimitris Spathis, Ignacio Perez-Pozuelo, Laia Marques-Fernandez, Cecilia Mascolo:
Breaking away from labels: The promise of self-supervised machine learning in intelligent health. Patterns 3(2): 100410 (2022) - [i17]Ting Dang, Jing Han, Tong Xia, Dimitris Spathis, Erika Bondareva, Chloë Brown, Jagmohan Chauhan, Andreas Grammenos, Apinan Hasthanasombat, Andres Floto, Pietro Cicuta, Cecilia Mascolo:
COVID-19 Disease Progression Prediction via Audio Signals: A Longitudinal Study. CoRR abs/2201.01232 (2022) - [i16]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:
A Summary of the ComParE COVID-19 Challenges. CoRR abs/2202.08981 (2022) - [i15]Dimitris Spathis, Ignacio Perez-Pozuelo, Tomas I. Gonzales, Søren Brage, Nicholas J. Wareham, Cecilia Mascolo:
Longitudinal cardio-respiratory fitness prediction through free-living wearable sensors. CoRR abs/2205.03116 (2022) - [i14]Dimitris Spathis, Stephanie L. Hyland:
Looking for Out-of-Distribution Environments in Critical Care: A case study with the eICU Database. CoRR abs/2205.13398 (2022) - [i13]Yu Wu, Dimitris Spathis, Hong Jia, Ignacio Perez-Pozuelo, Tomas I. Gonzales, Søren Brage, Nicholas J. Wareham, Cecilia Mascolo:
Turning Silver into Gold: Domain Adaptation with Noisy Labels for Wearable Cardio-Respiratory Fitness Prediction. CoRR abs/2211.10475 (2022) - 2021
- [j6]Chi Ian Tang, Ignacio Perez-Pozuelo, Dimitris Spathis, Søren Brage, Nicholas J. Wareham, Cecilia Mascolo:
SelfHAR: Improving Human Activity Recognition through Self-training with Unlabeled Data. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 5(1): 36:1-36:30 (2021) - [j5]Ignacio Perez-Pozuelo, Dimitris Spathis, Jordan Gifford-Moore, Jessica Morley, Josh Cowls:
Digital phenotyping and sensitive health data: Implications for data governance. J. Am. Medical Informatics Assoc. 28(9): 2002-2008 (2021) - [j4]Ignacio Perez-Pozuelo, Dimitris Spathis, Jordan Gifford-Moore, Jessica Morley, Josh Cowls:
Erratum to: Digital phenotyping and sensitive health data: Implications for data governance. J. Am. Medical Informatics Assoc. 28(12): 2749 (2021) - [c13]Dimitris Spathis, Ignacio Perez-Pozuelo, Søren Brage, Nicholas J. Wareham, Cecilia Mascolo:
Self-supervised transfer learning of physiological representations from free-living wearable data. CHIL 2021: 69-78 - [c12]Jing Han, Chloë Brown, Jagmohan Chauhan, Andreas Grammenos, Apinan Hasthanasombat, Dimitris Spathis, Tong Xia, Pietro Cicuta, Cecilia Mascolo:
Exploring Automatic COVID-19 Diagnosis via Voice and Symptoms from Crowdsourced Data. ICASSP 2021: 8328-8332 - [c11]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:
The INTERSPEECH 2021 Computational Paralinguistics Challenge: COVID-19 Cough, COVID-19 Speech, Escalation & Primates. Interspeech 2021: 431-435 - [c10]Benjamin Lucas Searle, Dimitris Spathis, Marios Constantinides, Daniele Quercia, Cecilia Mascolo:
Anticipatory Detection of Compulsive Body-focused Repetitive Behaviors with Wearables. MobileHCI 2021: 17:1-17:15 - [c9]Stefanos Laskaridis, Dimitris Spathis, Mário Almeida:
Federated mobile sensing for activity recognition. MobiCom 2021: 858-859 - [c8]Tong Xia, Dimitris Spathis, Chloë Brown, Jagmohan Chauhan, Andreas Grammenos, Jing Han, Apinan Hasthanasombat, Erika Bondareva, Ting Dang, Andres Floto, Pietro Cicuta, Cecilia Mascolo:
COVID-19 Sounds: A Large-Scale Audio Dataset for Digital Respiratory Screening. NeurIPS Datasets and Benchmarks 2021 - [i12]Jing Han, Chloë Brown, Jagmohan Chauhan, Andreas Grammenos, Apinan Hasthanasombat, Dimitris Spathis, Tong Xia, Pietro Cicuta, Cecilia Mascolo:
Exploring Automatic COVID-19 Diagnosis via voice and symptoms from Crowdsourced Data. CoRR abs/2102.05225 (2021) - [i11]Chi Ian Tang, Ignacio Perez-Pozuelo, Dimitris Spathis, Søren Brage, Nicholas J. Wareham, Cecilia Mascolo:
SelfHAR: Improving Human Activity Recognition through Self-training with Unlabeled Data. CoRR abs/2102.06073 (2021) - [i10]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:
The INTERSPEECH 2021 Computational Paralinguistics Challenge: COVID-19 Cough, COVID-19 Speech, Escalation & Primates. CoRR abs/2102.13468 (2021) - [i9]Benjamin Lucas Searle, Dimitris Spathis, Marios Constantinides, Daniele Quercia, Cecilia Mascolo:
Anticipatory Detection of Compulsive Body-focused Repetitive Behaviors with Wearables. CoRR abs/2106.10970 (2021) - [i8]Jing Han, Tong Xia, Dimitris Spathis, Erika Bondareva, Chloë Brown, Jagmohan Chauhan, Ting Dang, Andreas Grammenos, Apinan Hasthanasombat, Andres Floto, Pietro Cicuta, Cecilia Mascolo:
Sounds of COVID-19: exploring realistic performance of audio-based digital testing. CoRR abs/2106.15523 (2021) - [i7]Kevalee Shah, Dimitris Spathis, Chi Ian Tang, Cecilia Mascolo:
Evaluating Contrastive Learning on Wearable Timeseries for Downstream Clinical Outcomes. CoRR abs/2111.07089 (2021) - 2020
- [c7]Chloë Brown, Jagmohan Chauhan, Andreas Grammenos, Jing Han, Apinan Hasthanasombat, Dimitris Spathis, Tong Xia, Pietro Cicuta, Cecilia Mascolo:
Exploring Automatic Diagnosis of COVID-19 from Crowdsourced Respiratory Sound Data. KDD 2020: 3474-3484 - [i6]Chloë Brown, Jagmohan Chauhan, Andreas Grammenos, Jing Han, Apinan Hasthanasombat, Dimitris Spathis, Tong Xia, Pietro Cicuta, Cecilia Mascolo:
Exploring Automatic Diagnosis of COVID-19 from Crowdsourced Respiratory Sound Data. CoRR abs/2006.05919 (2020) - [i5]Dimitris Spathis, Ignacio Perez-Pozuelo, Søren Brage, Nicholas J. Wareham, Cecilia Mascolo:
Learning Generalizable Physiological Representations from Large-scale Wearable Data. CoRR abs/2011.04601 (2020) - [i4]Chi Ian Tang, Ignacio Perez-Pozuelo, Dimitris Spathis, Cecilia Mascolo:
Exploring Contrastive Learning in Human Activity Recognition for Healthcare. CoRR abs/2011.11542 (2020) - [i3]Dimitris Spathis, Ignacio Perez-Pozuelo, Søren Brage, Nicholas J. Wareham, Cecilia Mascolo:
Self-supervised transfer learning of physiological representations from free-living wearable data. CoRR abs/2011.12121 (2020)
2010 – 2019
- 2019
- [j3]Dimitris Spathis, Panayiotis M. Vlamos:
Diagnosing asthma and chronic obstructive pulmonary disease with machine learning. Health Informatics J. 25(3) (2019) - [j2]Dimitris Spathis, Nikolaos Passalis, Anastasios Tefas:
Interactive dimensionality reduction using similarity projections. Knowl. Based Syst. 165: 77-91 (2019) - [c6]Dimitris Spathis, Sandra Servia Rodríguez, Katayoun Farrahi, Cecilia Mascolo, Jason Rentfrow:
Sequence Multi-task Learning to Forecast Mental Wellbeing from Sparse Self-reported Data. KDD 2019: 2886-2894 - [c5]Dimitris Spathis, Sandra Servia Rodríguez, Katayoun Farrahi, Cecilia Mascolo, Jason Rentfrow:
Passive mobile sensing and psychological traits for large scale mood prediction. PervasiveHealth 2019: 272-281 - 2018
- [c4]Dimitris Spathis, Nikolaos Passalis, Anastasios Tefas:
Fast, Visual and Interactive Semi-supervised Dimensionality Reduction. ECCV Workshops (4) 2018: 550-563 - [i2]Dimitris Spathis, Nikolaos Passalis, Anastasios Tefas:
Interactive dimensionality reduction using similarity projections. CoRR abs/1811.05531 (2018) - 2017
- [c3]Joan Serrà, Ilias Leontiadis, Dimitris Spathis, Gianluca Stringhini, Jeremy Blackburn, Athena Vakali:
Class-based Prediction Errors to Detect Hate Speech with Out-of-vocabulary Words. ALW@ACL 2017: 36-40 - 2016
- [j1]Basilis Charalampakis, Dimitris Spathis, Elias Kouslis, Katia Kermanidis:
A comparison between semi-supervised and supervised text mining techniques on detecting irony in greek political tweets. Eng. Appl. Artif. Intell. 51: 50-57 (2016) - [i1]Dimitris Spathis:
Photo-Quality Evaluation based on Computational Aesthetics: Review of Feature Extraction Techniques. CoRR abs/1612.06259 (2016) - 2015
- [c2]Basilis Charalampakis, Dimitris Spathis, Elias Kouslis, Katia Kermanidis:
Detecting Irony on Greek Political Tweets: A Text Mining Approach. EANN Workshops 2015: 17:1-17:5 - 2013
- [c1]Dimitris Spathis, Theofilos Mouratidis, Spyros Sioutas, Athanasios K. Tsakalidis:
Glocal News: An Attempt to Visualize the Discovery of Localized Top Local News, Globally. ER Workshops 2013: 1-6
Coauthor Index
aka: Chloë Brown
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last updated on 2023-10-02 00:39 CEST by the dblp team
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