| Twitter data analysis for studying communities of practice in the media industry M Komorowski, T Do Huu, N Deligiannis Telematics and Informatics 35 (1), 195-212, 2018 | 64 | 2018 |
| Multiview deep learning for predicting twitter users' location TH Do, DM Nguyen, E Tsiligianni, B Cornelis, N Deligiannis arXiv preprint arXiv:1712.08091, 2017 | 52 | 2017 |
| Fake news detection using deep markov random fields DM Nguyen, TH Do, R Calderbank, N Deligiannis Proceedings of the 2019 Conference of the North American Chapter of the …, 2019 | 51 | 2019 |
| Graph-Deep-Learning-Based Inference of Fine-Grained Air Quality from Mobile IoT Sensors TD Huu, E Tsiligianni, X Qin, J Hofman, VPL Manna, W Philips, ... IEEE Internet of Things Journal, 1 - 1, 2020 | 43 | 2020 |
| Twitter user geolocation using deep multiview learning TH Do, DM Nguyen, E Tsiligianni, B Cornelis, N Deligiannis 2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018 | 40 | 2018 |
| Graph convolutional neural networks with node transition probability-based message passing and DropNode regularization TH Do, DM Nguyen, G Bekoulis, A Munteanu, N Deligiannis Expert Systems with Applications 174, 114711, 2021 | 36 | 2021 |
| Matrix completion with variational graph autoencoders: Application in hyperlocal air quality inference TH Do, DM Nguyen, E Tsiligianni, AL Aguirre, VP La Manna, F Pasveer, ... ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 34 | 2019 |
| Twitter data clustering and visualization A Sechelea, T Do Huu, E Zimos, N Deligiannis 2016 23rd international conference on telecommunications (ICT), 1-5, 2016 | 33 | 2016 |
| Spatiotemporal air quality inference of low-cost sensor data: Evidence from multiple sensor testbeds J Hofman, TH Do, X Qin, ER Bonet, W Philips, N Deligiannis, ... Environmental Modelling & Software 149, 105306, 2022 | 31 | 2022 |
| Context-aware deep Markov random fields for fake news detection TH Do, M Berneman, J Patro, G Bekoulis, N Deligiannis IEEE Access 9, 130042-130054, 2021 | 27 | 2021 |
| Graph auto-encoder for graph signal denoising TH Do, DM Nguyen, N Deligiannis ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 26 | 2020 |
| Deep learning for geolocating social media users and detecting fake news N Deligiannis, TD Huu, DM Nguyen, X Luo NATO Workshop, 2018 | 19 | 2018 |
| Mapping air quality in IoT cities: Cloud calibration and air quality inference of sensor data J Hofman, ME Nikolaou, TH Do, X Qin, E Rodrigo, W Philips, ... 2020 IEEE SENSORS, 1-4, 2020 | 17 | 2020 |
| Fine-grained urban air quality mapping from sparse mobile air pollution measurements and dense traffic density X Qin, TH Do, J Hofman, ER Bonet, VP La Manna, N Deligiannis, ... Remote Sensing 14 (11), 2613, 2022 | 13 | 2022 |
| Rumour Detection via News Propagation Dynamics and User Representation Learning TH Do, X Luo, DM Nguyen, N Deligiannis arXiv preprint arXiv:1905.03042, 2019 | 13 | 2019 |
| Explaining graph neural networks with topology-aware node selection: Application in air quality inference ER Bonet, TH Do, X Qin, J Hofman, VP La Manna, W Philips, ... IEEE Transactions on Signal and Information Processing over Networks 8, 499-513, 2022 | 9 | 2022 |
| Context-based analysis of urban air quality using an opportunistic mobile sensor network X Qin, L Platisa, TH Do, E Tsiligianni, J Hofman, VPL Manna, ... International Summit Smart City 360°, 285-300, 2019 | 8 | 2019 |
| Street-level air quality inference based on geographically context-aware random forest using opportunistic mobile sensor network X Qin, TH Do, J Hofman, E Rodrigo, VLM Panzica, N Deligiannis, ... Proceedings of the 2021 5th International Conference on Innovation in …, 2021 | 7 | 2021 |
| Spatiotemporal air quality inference of low-cost sensor data; application on a cycling monitoring network J Hofman, TH Do, X Qin, E Rodrigo, ME Nikolaou, W Philips, ... Pattern Recognition. ICPR International Workshops and Challenges: Virtual …, 2021 | 4 | 2021 |
| BRUBIKE: A dataset of bicycle traffic and weather conditions for predicting cycling flow SV Broucke, LMV Piña, TH Do, N Deligiannis 2019 IEEE International Smart Cities Conference (ISC2), 432-437, 2019 | 4 | 2019 |
Nikos DeligiannisVrije Universiteit Brussel, imecVerified email at etrovub.be
