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2020 – today
- 2022
[j7]Jelle Hofman
, Tien Huu Do, Xuening Qin, Esther Rodrigo Bonet, Wilfried Philips, Nikos Deligiannis, Valerio Panzica La Manna:
Spatiotemporal air quality inference of low-cost sensor data: Evidence from multiple sensor testbeds. Environ. Model. Softw. 149: 105306 (2022)- [j6]Xuening Qin, Tien Huu Do, Jelle Hofman, Esther Rodrigo Bonet, Valerio Panzica La Manna, Nikos Deligiannis, Wilfried Philips:
Fine-Grained Urban Air Quality Mapping from Sparse Mobile Air Pollution Measurements and Dense Traffic Density. Remote. Sens. 14(11): 2613 (2022) - [j5]Esther Rodrigo Bonet, Tien Huu Do, Xuening Qin, Jelle Hofman, Valerio Panzica La Manna, Wilfried Philips, Nikos Deligiannis:
Explaining Graph Neural Networks With Topology-Aware Node Selection: Application in Air Quality Inference. IEEE Trans. Signal Inf. Process. over Networks 8: 499-513 (2022) - [c12]Esther Rodrigo Bonet, Tien Huu Do, Xuening Qin, Jelle Hofman, Valerio Panzica La Manna, Wilfried Philips, Nikos Deligiannis:
Conditional Variational Graph Autoencoder for Air Quality Forecasting. EUSIPCO 2022: 1442-1446 - 2021
- [j4]Tien Huu Do, Marc Berneman, Jasabanta Patro, Giannis Bekoulis, Nikos Deligiannis:
Context-Aware Deep Markov Random Fields for Fake News Detection. IEEE Access 9: 130042-130054 (2021) - [j3]Tien Huu Do, Duc Minh Nguyen, Giannis Bekoulis, Adrian Munteanu, Nikos Deligiannis:
Graph convolutional neural networks with node transition probability-based message passing and DropNode regularization. Expert Syst. Appl. 174: 114711 (2021) - [c11]Xuening Qin, Tien Huu Do, Jelle Hofman, Esther Rodrigo Bonet, Valerio Panzica La Manna, Nikos Deligiannis, Wilfried Philips:
Street-level Air Quality Inference Based on Geographically Context-aware Random Forest Using Opportunistic Mobile Sensor Network. ICIAI 2021: 221-227 - 2020
- [j2]Tien Huu Do, Evaggelia Tsiligianni, Xuening Qin, Jelle Hofman, Valerio Panzica La Manna, Wilfried Philips, Nikos Deligiannis:
Graph-Deep-Learning-Based Inference of Fine-Grained Air Quality From Mobile IoT Sensors. IEEE Internet Things J. 7(9): 8943-8955 (2020) - [c10]Tien Huu Do, Duc Minh Nguyen, Nikos Deligiannis:
Graph Auto-Encoder for Graph Signal Denoising. ICASSP 2020: 3322-3326 - [c9]Jelle Hofman, Tien Huu Do, Xuening Qin, Esther Rodrigo Bonet, Martha E. Nikolaou, Wilfried Philips, Nikos Deligiannis, Valerio Panzica La Manna:
Spatiotemporal Air Quality Inference of Low-Cost Sensor Data; Application on a Cycling Monitoring Network. ICPR Workshops (6) 2020: 139-147 - [c8]Jelle Hofman, Martha E. Nikolaou, Tien Huu Do, Xuening Qin, Esther Rodrigo Bonet, Wilfried Philips, Nikos Deligiannis, Valerio Panzica La Manna:
Mapping Air Quality in IoT Cities: Cloud Calibration and Air Quality Inference of Sensor Data. IEEE SENSORS 2020: 1-4 - [i5]Tien Huu Do, Duc Minh Nguyen, Giannis Bekoulis, Adrian Munteanu, Nikos Deligiannis:
Graph Convolutional Neural Networks with Node Transition Probability-based Message Passing and DropNode Regularization. CoRR abs/2008.12578 (2020)
2010 – 2019
- 2019
- [c7]Tien Huu Do, Xiao Luo, Duc Minh Nguyen, Nikos Deligiannis:
Rumour Detection Via News Propagation Dynamics and User Representation Learning. DSW 2019: 196-200 - [c6]Tien Huu Do, Duc Minh Nguyen, Evaggelia Tsiligianni, Angel Lopez Aguirre, Valerio Panzica La Manna, Frank J. Pasveer, Wilfried Philips, Nikos Deligiannis:
Matrix Completion with Variational Graph Autoencoders: Application in Hyperlocal Air Quality Inference. ICASSP 2019: 7535-7539 - [c5]Steven Vanden Broucke, Luis Manuel Vidal Piña, Tien Huu Do, Nikos Deligiannis:
BRUBIKE: A Dataset of Bicycle Traffic and Weather Conditions for Predicting Cycling Flow. ISC2 2019: 432-437 - [c4]Duc Minh Nguyen, Tien Huu Do, A. Robert Calderbank, Nikos Deligiannis:
Fake News Detection using Deep Markov Random Fields. NAACL-HLT (1) 2019: 1391-1400 - [c3]Xuening Qin, Ljiljana Platisa, Tien Huu Do, Evaggelia Tsiligianni, Jelle Hofman, Valerio Panzica La Manna, Nikos Deligiannis, Wilfried Philips:
Context-Based Analysis of Urban Air Quality Using an Opportunistic Mobile Sensor Network. SmartCity360° 2019: 285-300 - [i4]Tien Huu Do, Xiao Luo, Duc Minh Nguyen, Nikos Deligiannis:
Rumour Detection via News Propagation Dynamics and User Representation Learning. CoRR abs/1905.03042 (2019) - 2018
- [j1]Marlen Komorowski, Tien Do Huu, Nikos Deligiannis:
Twitter data analysis for studying communities of practice in the media industry. Telematics Informatics 35(1): 195-212 (2018) - [c2]Tien Huu Do, Duc Minh Nguyen, Evaggelia Tsiligianni, Bruno Cornelis, Nikos Deligiannis:
Twitter User Geolocation Using Deep Multiview Learning. ICASSP 2018: 6304-6308 - [i3]Tien Huu Do, Duc Minh Nguyen, Evaggelia Tsiligianni, Bruno Cornelis, Nikos Deligiannis:
Twitter User Geolocation using Deep Multiview Learning. CoRR abs/1805.04612 (2018) - [i2]Tien Huu Do, Duc Minh Nguyen, Evaggelia Tsiligianni, Angel Lopez Aguirre, Valerio Panzica La Manna, Frank J. Pasveer, Wilfried Philips, Nikos Deligiannis:
Matrix Completion With Variational Graph Autoencoders: Application in Hyperlocal Air Quality Inference. CoRR abs/1811.01662 (2018) - 2017
- [i1]Tien Huu Do, Duc Minh Nguyen, Evaggelia Tsiligianni, Bruno Cornelis, Nikos Deligiannis:
Multiview Deep Learning for Predicting Twitter Users' Location. CoRR abs/1712.08091 (2017) - 2016
- [c1]Andrei Sechelea, Tien Do Huu, Evangelos Zimos, Nikos Deligiannis:
Twitter data clustering and visualization. ICT 2016: 1-5
Coauthor Index
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