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Picture for Cecilia Mascolo

Knowing when we do not know: Bayesian continual learning for sensing-based analysis tasks


Jun 06, 2021
Sandra Servia-Rodriguez, Cecilia Mascolo, Young D. Kwon


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Modelling Urban Dynamics with Multi-Modal Graph Convolutional Networks


Apr 29, 2021
Krittika D'Silva, Jordan Cambe, Anastasios Noulas, Cecilia Mascolo, Adam Waksman

* 10 pages, 4 figures. arXiv admin note: substantial text overlap with arXiv:2104.13981 

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Modelling Cooperation and Competition in Urban Retail Ecosystems with Complex Network Metrics


Apr 28, 2021
Jordan Cambe, Krittika D'Silva, Anastasios Noulas, Cecilia Mascolo, Adam Waksman

* 11 pages, 5 figures 

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Uncertainty-Aware COVID-19 Detection from Imbalanced Sound Data


Apr 05, 2021
Tong Xia, Jing Han, Lorena Qendro, Ting Dang, Cecilia Mascolo


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The INTERSPEECH 2021 Computational Paralinguistics Challenge: COVID-19 Cough, COVID-19 Speech, Escalation & Primates


Feb 24, 2021
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, Leon J. M. Rothkrantz, Joeri Zwerts, Jelle Treep, Casper Kaandorp

* 5 pages 

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SelfHAR: Improving Human Activity Recognition through Self-training with Unlabeled Data


Feb 11, 2021
Chi Ian Tang, Ignacio Perez-Pozuelo, Dimitris Spathis, Soren Brage, Nick Wareham, Cecilia Mascolo

* Accepted for publication in Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT) 2021 

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The Benefit of the Doubt: Uncertainty Aware Sensing for Edge Computing Platforms


Feb 11, 2021
Lorena Qendro, Jagmohan Chauhan, Alberto Gil C. P. Ramos, Cecilia Mascolo

* 13 pages, 6 figures 

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Exploring Automatic COVID-19 Diagnosis via voice and symptoms from Crowdsourced Data


Feb 10, 2021
Jing Han, Chloë Brown, Jagmohan Chauhan, Andreas Grammenos, Apinan Hasthanasombat, Dimitris Spathis, Tong Xia, Pietro Cicuta, Cecilia Mascolo

* 5 pages, 3 figures, 2 tables, Accepted for publication at ICASSP 2021 

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Exploring Contrastive Learning in Human Activity Recognition for Healthcare


Dec 24, 2020
Chi Ian Tang, Ignacio Perez-Pozuelo, Dimitris Spathis, Cecilia Mascolo


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Self-supervised transfer learning of physiological representations from free-living wearable data


Nov 18, 2020
Dimitris Spathis, Ignacio Perez-Pozuelo, Soren Brage, Nicholas J. Wareham, Cecilia Mascolo

* 9 pages, 3 figures (long version of extended abstract arXiv:2011.04601) 

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Learning Generalizable Physiological Representations from Large-scale Wearable Data


Nov 09, 2020
Dimitris Spathis, Ignacio Perez-Pozuelo, Soren Brage, Nicholas J. Wareham, Cecilia Mascolo

* Accepted to the Machine Learning for Mobile Health workshop at NeurIPS 2020 

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$β$-Cores: Robust Large-Scale Bayesian Data Summarization in the Presence of Outliers


Aug 31, 2020
Dionysis Manousakas, Cecilia Mascolo

* 25 pages, 5 figures 

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Exploring Automatic Diagnosis of COVID-19 from Crowdsourced Respiratory Sound Data


Jun 10, 2020
Chloë Brown, Jagmohan Chauhan, Andreas Grammenos, Jing Han, Apinan Hasthanasombat, Dimitris Spathis, Tong Xia, Pietro Cicuta, Cecilia Mascolo

* 9 pages, 7 figures, 2 tables 

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Federated PCA with Adaptive Rank Estimation


Jul 18, 2019
Andreas Grammenos, Rodrigo Mendoza-Smith, Cecilia Mascolo, Jon Crowcroft


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Topic-Enhanced Memory Networks for Personalised Point-of-Interest Recommendation


May 19, 2019
Xiao Zhou, Cecilia Mascolo, Zhongxiang Zhao

* 11 pages, 6 figures, The 25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD '19) 

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