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07/26/2023
Graph Neural Networks-based Hybrid Framework For Predicting Particle Crushing Strength
Graph Neural Networks have emerged as an effective machine learning tool...
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06/21/2023
Evaluation of Popular XAI Applied to Clinical Prediction Models: Can They be Trusted?
The absence of transparency and explainability hinders the clinical adop...
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06/03/2023
Message-passing selection: Towards interpretable GNNs for graph classification
In this paper, we strive to develop an interpretable GNNs' inference par...
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05/22/2020
Online Non-convex Learning for River Pollution Source Identification
In this paper, novel gradient based online learning algorithms are devel...
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01/15/2019
Model and Algorithm for Time-Consistent Risk-Aware Markov Games
In this paper, we propose a model for non-cooperative Markov games with ...
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07/01/2018
Data-driven satisficing measure and ranking
We propose an computational framework for real-time risk assessment and ...
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05/17/2018
Preference Elicitation and Robust Optimization with Multi-Attribute Quasi-Concave Choice Functions
Decision maker's preferences are often captured by some choice functions...
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05/11/2018
Stochastic Approximation for Risk-aware Markov Decision Processes
In this paper, we develop a stochastic approximation type algorithm to s...
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05/11/2018