2021

doi dblp
Explainable Multivariate Time Series Classification: A Deep Neural Network Which Learns to Attend to Important Variables As Well As Time Intervals
Tsung-Yu Hsieh | Suhang Wang | Yiwei Sun | Vasant G. Honavar
WSDM '21, The Fourteenth ACM International Conference on Web Search and Data Mining, Virtual Event, Israel, March 8-12, 2021

doi dblp
SrVARM: State Regularized Vector Autoregressive Model for Joint Learning of Hidden State Transitions and State-Dependent Inter-Variable Dependencies from Multi-variate Time Series
Tsung-Yu Hsieh | Yiwei Sun | Xianfeng Tang | Suhang Wang | Vasant G. Honavar
WWW '21: The Web Conference 2021, Virtual Event / Ljubljana, Slovenia, April 19-23, 2021

2020

doi dblp
Adversarial Attacks on Graph Neural Networks via Node Injections: A Hierarchical Reinforcement Learning Approach
Yiwei Sun | Suhang Wang | Xianfeng Tang | Tsung-Yu Hsieh | Vasant G. Honavar
WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020

2019

doi dblp
Fairness in Algorithmic Decision Making: An Excursion Through the Lens of Causality
Aria Khademi | Sanghack Lee | David Foley | Vasant G. Honavar
The World Wide Web Conference, WWW 2019, San Francisco, CA, USA, May 13-17, 2019

2016

doi dblp
Representing and Reasoning with Qualitative Preferences: Tools and Applications
Ganesh Ram Santhanam | Samik Basu | Vasant G. Honavar
2016

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