“The squawk Bot”*: Joint learning of time series and text data modalities for automated financial information filtering
- Xuan-Hong Dang
- Syed Yousaf Shah
- et al.
- 2021
- IJCAI 2020
Publications
This is our catalog of publications authored by IBM researchers, in collaboration with the global research community. It’s an ever-growing body of work that shows why IBM is one of the most important contributors to modern computing.
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7 results for Xuan-Hong Dang
AutoAI-TS: AutoAI for Time Series Forecasting
- Syed Yousaf Shah
- Dhaval Patel
- et al.
- 2021
- SIGMOD 2021
Seq2graph: Discovering Dynamic Non-linear Dependencies from Multivariate Time Series
- Xuan-Hong Dang
- Syed Yousaf Shah
- et al.
- 2019
- Big Data 2019
Unsupervised Threshold Autoencoder to Analyze and Understand Sentence Elements
- Xuan-Hong Dang
- Raji Akella
- et al.
- 2018
- Big Data 2018
Learning Multiclassifiers with Predictive Features that Vary with Data Distribution
- Xuan-Hong Dang
- Omid Askarisichani
- et al.
- 2018
- Big Data 2018
Root Cause Detection using Dynamic Dependency Graphs from Time Series Data
- Syed Yousaf Shah
- Xuan-Hong Dang
- et al.
- 2018
- Big Data 2018
On critical event observability using social networks: A disaster monitoring perspective
- Dong-Anh Nguyen
- Tarek Abdelzaher
- et al.
- 2014
- MILCOM 2014