26 citations · 40 across the 4 of their papers we have counts for
5 papers
TempShap: When and How Much a Feature Matters in Time-Series Forecasting
Chi Zhao, Anastasiia Chelnokova, Jing Liu +1
Attribution for a time-series forecaster should answer two questions that a feature-level scalar cannot: when in the input window a feature acts, and how much its influence changes…
Strategic inputs: feature selection from game-theoretic perspective
Chi Zhao, Jing Liu, Elena Parilina
The exponential growth of data volumes has led to escalating computational costs in machine learning model training. However, many features fail to contribute positively to model p…
ShapG: new feature importance method based on the Shapley value
Chi Zhao, Jing Liu, Elena Parilina
With wide application of Artificial Intelligence (AI), it has become particularly important to make decisions of AI systems explainable and transparent. In this paper, we proposed…
Centrality measures and opinion dynamics in two-layer networks with replica nodes
Chi Zhao, Elena Parilina
We examine two-layer networks and centrality measures defined on them. We propose two fast and accurate algorithms to approximate the game-theoretic centrality measures and examine…
Opinion Dynamics in Two-Layer Networks with Hypocrisy
Chi Zhao, Elena Parilina
We propose a general concealed voter model (GCVM), in which individuals interact in two layers and can exchange their opinions in the internal layer. This interaction is not allowe…