1 citations · 1 across the 7 of their papers we have counts for
7 papers
Visualizing Uncertainty: Spatial Maps of Missing and Conflicting Evidence in Deep Learning
Dong Hyun Jeong, Feng Chen, Jin-Hee Cho +3
Understanding when and why deep neural networks are uncertain is crucial for deploying reliable machine learning systems in safety-critical domains. While existing uncertainty quan…
X-MAP: eXplainable Misclassification Analysis and Profiling for Spam and Phishing Detection
Qi Zhang, Dian Chen, Lance M. Kaplan +4
Misclassifications in spam and phishing detection are very harmful, as false negatives expose users to attacks while false positives degrade trust. Existing uncertainty-based detec…
StagePilot: Stage-Level Planning for Long-Horizon Dialogue Simulation in Cybergrooming
Heajun An, Qi Zhang, Minqian Liu +5
Cybergrooming is an evolving threat to youth, requiring proactive educational interventions. We address this by modeling dialogue progression as a structured planning problem over…
Beyond Binary Opinions: A Deep Reinforcement Learning-Based Approach to Uncertainty-Aware Competitive Influence Maximization
Qi Zhang, Dian Chen, Lance M. Kaplan +4
The Competitive Influence Maximization (CIM) problem involves multiple entities competing for influence in online social networks (OSNs). While Deep Reinforcement Learning (DRL) ha…
Winning the Social Media Influence Battle: Uncertainty-Aware Opinions to Understand and Spread True Information via Competitive Influence Maximization
Qi Zhang, Lance M. Kaplan, Audun Jøsang +3
Competitive Influence Maximization (CIM) involves entities competing to maximize influence in online social networks (OSNs). Current Deep Reinforcement Learning (DRL) methods in CI…
Hyper Evidential Deep Learning to Quantify Composite Classification Uncertainty
Changbin Li, Kangshuo Li, Yuzhe Ou +5
Deep neural networks (DNNs) have been shown to perform well on exclusive, multi-class classification tasks. However, when different classes have similar visual features, it becomes…
Active Learning on Neural Networks through Interactive Generation of Digit Patterns and Visual Representation
Dong H. Jeong, Jin-Hee Cho, Feng Chen +2
Artificial neural networks (ANNs) have been broadly utilized to analyze various data and solve different domain problems. However, neural networks (NNs) have been considered a blac…