Search Results - "Do, Tien Huu"

Context-Aware Deep Markov Random Fields for Fake News Detection by Huu Do, Tien, Berneman, Marc, Patro, Jasabanta, Bekoulis, Giannis, Deligiannis, Nikos

“…Fake news is a serious problem, which has received considerable attention from both industry and academic communities. Over the past years, many fake news…”
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Spatiotemporal air quality inference of low-cost sensor data: Evidence from multiple sensor testbeds by Hofman, Jelle, Do, Tien Huu, Qin, Xuening, Bonet, Esther Rodrigo, Philips, Wilfried, Deligiannis, Nikos, La Manna, Valerio Panzica

“…Recent advances in sensor and IoT technologies allow for denser and mobile air quality measurements. These measurements are still spatiotemporally sparse at…”
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Twitter data analysis for studying communities of practice in the media industry by Komorowski, Marlen, Huu, Tien Do, Deligiannis, Nikos

“…•Communities of practice (CoPs) on Twitter have a lively community, a shared domain and practices.•A novel mixed-methods approach was developed to analyse CoPs…”
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Graph Auto-Encoder for Graph Signal Denoising by Do, Tien Huu, Minh Nguyen, Duc, Deligiannis, Nikos

“…Signal denoising is an important problem with a vast literature. Recently, signal denoising on graphs has received a lot of attention due to the increasing use…”
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Fine-Grained Urban Air Quality Mapping from Sparse Mobile Air Pollution Measurements and Dense Traffic Density by Qin, Xuening, Do, Tien Huu, Hofman, Jelle, Bonet, Esther Rodrigo, La Manna, Valerio Panzica, Deligiannis, Nikos, Philips, Wilfried

“…Urban air quality mapping has been widely applied in urban planning, air pollution control and personal air pollution exposure assessment. Urban air quality…”
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Twitter User Geolocation Using Deep Multiview Learning by Do, Tien Huu, Nguyen, Duc Minh, Tsiligianni, Evaggelia, Cornelis, Bruno, Deligiannis, Nikos

“…Predicting the geographical location of users on social networks like Twitter is an active research topic with plenty of methods proposed so far. Most of the…”
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Matrix Completion with Variational Graph Autoencoders: Application in Hyperlocal Air Quality Inference by Do, Tien Huu, Minh Nguyen, Duc, Tsiligianni, Evaggelia, Aguirre, Angel Lopez, Panzica La Manna, Valerio, Pasveer, Frank, Philips, Wilfried, Deligiannis, Nikos

“…Inferring air quality from a limited number of observations is an essential task for monitoring and controlling air pollution. Existing inference methods…”
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Twitter data clustering and visualization by Sechelea, Andrei, Tien Do Huu, Zimos, Evangelos, Deligiannis, Nikos

“…We present a system for the acquisition, analysis and visualisation of Twitter data. Twitter messages are harvested and stored in a distributed cluster, and…”
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Mapping Air Quality in IoT Cities: Cloud Calibration and Air Quality Inference of Sensor Data by Hofman, Jelle, Nikolaou, Martha E., Huu Do, Tien, Qin, Xuening, Rodrigo, Esther, Philips, Wilfried, Deligiannis, Nikos, La Manna, Valerio Panzica

“…Monitoring air quality in cities is challenging as a high resolution in both space and time is required to accurately assess population exposure. This paper…”
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Graph convolutional neural networks with node transition probability-based message passing and DropNode regularization by Do, Tien Huu, Nguyen, Duc Minh, Bekoulis, Giannis, Munteanu, Adrian, Deligiannis, Nikos

“…•A new message passing formulation for graph convolutional neural networks is proposed.•An effective regularization technique to address over-fitting and…”
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Conditional Variational Graph Autoencoder for Air Quality Forecasting by Bonet, Esther Rodrigo, Do, Tien Huu, Qin, Xuening, Hofman, Jelle, La Manna, Valerio Panzica, Philips, Wilfried, Deligiannis, Nikos

“…To control air pollution and mitigate its negative effect on health, it is of the utmost importance to have accurate real-time forecasting models. Existing…”
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Rumour Detection Via News Propagation Dynamics and User Representation Learning by Do, Tien Huu, Luo, Xiao, Nguyen, Duc Minh, Deligiannis, Nikos

“…Rumours have existed for a long time and have been known for serious consequences. The rapid growth of social media platforms has multiplied the negative…”
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BRUBIKE: A Dataset of Bicycle Traffic and Weather Conditions for Predicting Cycling Flow by Broucke, Steven Vanden, Pina, Luis Manuel Vidal, Do, Tien Huu, Deligiannis, Nikos

“…Based on historical bike counting information, geographical and temporal patterns in human mobility can be detected. Predicting bicycle traffic and traveler…”
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Graph-Deep-Learning-Based Inference of Fine-Grained Air Quality From Mobile IoT Sensors by Do, Tien Huu, Tsiligianni, Evaggelia, Qin, Xuening, Hofman, Jelle, La Manna, Valerio Panzica, Philips, Wilfried, Deligiannis, Nikos

“…Internet-of-Things (IoT) technologies incorporate a large number of different sensing devices and communication technologies to collect a large amount of data…”
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Explaining Graph Neural Networks With Topology-Aware Node Selection: Application in Air Quality Inference by Bonet, Esther Rodrigo, Do, Tien Huu, Qin, Xuening, Hofman, Jelle, Manna, Valerio Panzica La, Philips, Wilfried, Deligiannis, Nikos

“…Graph neural networks (GNNs) have proven their ability in modelling graph-structured data in diverse domains, including natural language processing and…”
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Graph Convolutional Neural Networks with Node Transition Probability-based Message Passing and DropNode Regularization by Do, Tien Huu, Nguyen, Duc Minh, Bekoulis, Giannis, Munteanu, Adrian, Deligiannis, Nikos

“…Expert Systems with Applications, 174 (2021), Elsevier Graph convolutional neural networks (GCNNs) have received much attention recently, owing to their…”
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Rumour Detection via News Propagation Dynamics and User Representation Learning by Do, Tien Huu, Luo, Xiao, Nguyen, Duc Minh, Deligiannis, Nikos

“…Rumours have existed for a long time and have been known for serious consequences. The rapid growth of social media platforms has multiplied the negative…”
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Twitter User Geolocation using Deep Multiview Learning by Do, Tien Huu, Nguyen, Duc Minh, Tsiligianni, Evaggelia, Cornelis, Bruno, Deligiannis, Nikos

“…Predicting the geographical location of users on social networks like Twitter is an active research topic with plenty of methods proposed so far. Most of the…”
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Multiview Deep Learning for Predicting Twitter Users' Location by Do, Tien Huu, Nguyen, Duc Minh, Tsiligianni, Evaggelia, Cornelis, Bruno, Deligiannis, Nikos

“…The problem of predicting the location of users on large social networks like Twitter has emerged from real-life applications such as social unrest detection…”
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Matrix Completion With Variational Graph Autoencoders: Application in Hyperlocal Air Quality Inference by Do, Tien Huu, Nguyen, Duc Minh, Tsiligianni, Evaggelia, Aguirre, Angel Lopez, La Manna, Valerio Panzica, Pasveer, Frank, Philips, Wilfried, Deligiannis, Nikos

“…Inferring air quality from a limited number of observations is an essential task for monitoring and controlling air pollution. Existing inference methods…”
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