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Nattiya Kanhabua

Multiple Models for Recommending Temporal Aspects of Entities

Jun 03, 2018
Tu Ngoc Nguyen, Nattiya Kanhabua, Wolfgang Nejdl

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* In proceedings of the 15th Extended Semantic Web Conference (ESWC 2018)

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Balancing Novelty and Salience: Adaptive Learning to Rank Entities for Timeline Summarization of High-impact Events

Jan 14, 2017
Tuan Tran, Claudia Niederée, Nattiya Kanhabua, Ujwal Gadiraju, Avishek Anand

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* Published via ACM to CIKM 2015

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Why is it Difficult to Detect Sudden and Unexpected Epidemic Outbreaks in Twitter?

Nov 10, 2016
Avaré Stewart, Sara Romano, Nattiya Kanhabua, Sergio Di Martino, Wolf Siberski, Antonino Mazzeo, Wolfgang Nejdl, Ernesto Diaz-Aviles

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* ACM CCS Concepts: Applied computing - Health informatics; Information systems - Web mining; Document filtering; Novelty in information retrieval; Recommender systems; Human-centered computing - Social media

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Learning Dynamic Classes of Events using Stacked Multilayer Perceptron Networks

Jul 01, 2016
Nattiya Kanhabua, Huamin Ren, Thomas B. Moeslund

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* Neu-IR '16 SIGIR Workshop on Neural Information Retrieval, 6 pages, 4 figures

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