| Exploring automatic diagnosis of COVID-19 from crowdsourced respiratory sound data C Brown, J Chauhan, A Grammenos, J Han, A Hasthanasombat, ... ACM SIGKDD International Conference on Knowledge Discovery & Data Mining …, 2020 | 544 | 2020 |
| The INTERSPEECH 2021 computational paralinguistics challenge: COVID-19 cough, COVID-19 speech, escalation & primates BW Schuller, A Batliner, C Bergler, C Mascolo, J Han, I Lefter, H Kaya, ... INTERSPEECH 2021, 2021 | 157 | 2021 |
| Exploring automatic COVID-19 diagnosis via voice and symptoms from crowdsourced data J Han, C Brown, J Chauhan, A Grammenos, A Hasthanasombat, ... ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 127* | 2021 |
| Smartphone app usage analysis: datasets, methods, and applications T Li, T Xia, H Wang, Z Tu, S Tarkoma, Z Han, P Hui IEEE Communications Surveys & Tutorials 24 (2), 937-966, 2022 | 122 | 2022 |
| Sounds of COVID-19: exploring realistic performance of audio-based digital testing J Han, T Xia, D Spathis, E Bondareva, C Brown, J Chauhan, T Dang, ... NPJ digital medicine 5 (1), 16, 2022 | 102 | 2022 |
| COVID-19 Sounds: A Large-Scale Audio Dataset for Digital Respiratory Screening T Xia, D Spathis, C Brown, AGJ Ch, A Grammenos, J Han, ... Proc. of the 35th Conference on Neural Information Processing Systems (NIPS …, 2021 | 93* | 2021 |
| To what extent we repeat ourselves? Discovering daily activity patterns across mobile app usage T Li, Y Li, MA Hoque, T Xia, S Tarkoma, P Hui IEEE Transactions on Mobile Computing 21 (4), 1492-1507, 2020 | 91 | 2020 |
| Attnmove: History enhanced trajectory recovery via attentional network T Xia, Y Qi, J Feng, F Xu, F Sun, D Guo, Y Li Proceedings of the AAAI Conference on Artificial Intelligence 35 (5), 4494-4502, 2021 | 64 | 2021 |
| 3DGCN: 3-dimensional dynamic graph convolutional network for citywide crowd flow prediction T Xia, J Lin, Y Li, J Feng, P Hui, F Sun, D Guo, D Jin ACM Transactions on Knowledge Discovery from Data (TKDD) 15 (6), 1-21, 2021 | 49 | 2021 |
| DeepMM: Deep learning based map matching with data augmentation J Feng, Y Li, K Zhao, Z Xu, T Xia, J Zhang, D Jin IEEE Transactions on Mobile Computing 21 (7), 2372-2384, 2020 | 49 | 2020 |
| Detecting popular temporal modes in population-scale unlabelled trajectory data F Xu, T Xia, H Cao, Y Li, F Sun, F Meng Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2018 | 43 | 2018 |
| DeepMM: Deep learning based map matching with data augmentation K Zhao, J Feng, Z Xu, T Xia, L Chen, F Sun, D Guo, D Jin, Y Li Proceedings of the 27th ACM SIGSPATIAL international conference on advances …, 2019 | 35 | 2019 |
| Semantic-aware spatio-temporal app usage representation via graph convolutional network Y Yu, T Xia, H Wang, J Feng, Y Li Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2020 | 34 | 2020 |
| Exploring machine learning for audio-based respiratory condition screening: A concise review of databases, methods, and open issues T Xia, J Han, C Mascolo Experimental Biology and Medicine 247 (22), 2053-2061, 2022 | 33 | 2022 |
| Exploring longitudinal cough, breath, and voice data for COVID-19 progression prediction via sequential deep learning: model development and validation T Dang, J Han, T Xia, D Spathis, E Bondareva, C Siegele-Brown, ... Journal of medical Internet research 24 (6), e37004, 2022 | 32 | 2022 |
| Uncertainty-Aware COVID-19 Detection from Imbalanced Sound Data T Xia, J Han, L Qendro, T Dang, C Mascolo INTERSPEECH 2021, 2021 | 32 | 2021 |
| DeepApp: Predicting personalized smartphone app usage via context-aware multi-task learning T Xia, Y Li, J Feng, D Jin, Q Zhang, H Luo, Q Liao ACM Transactions on Intelligent Systems and Technology (TIST) 11 (6), 1-12, 2020 | 28 | 2020 |
| Revealing Urban Dynamics by Learning Online and Offline Behaviours Together T Xia, Y Li Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2019 | 27 | 2019 |
| A Sequential Convolution Network for Population Flow Prediction with Explicitly Correlation Modelling. J Feng, Z Lin, T Xia, F Sun, D Guo, Y Li IJCAI, 1331-1337, 2020 | 25 | 2020 |
| Sume: Semantic-enhanced urban mobility network embedding for user demographic inference F Xu, Z Lin, T Xia, D Guo, Y Li Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2020 | 20 | 2020 |
Cecilia MascoloUniversity of CambridgeZweryfikowany adres z cl.cam.ac.uk