6 papers
BREAD: Baseline-Referenced Explanations for Anomaly Diagnosis
Jiaqi Qiu, Rob Goedhart, Jannis Kurtz +1
Artificial Intelligence (AI)-based prospective anomaly detection methods are increasingly deployed in high-dimensional and nonlinear settings. Among these approaches, AI-based stat…
Reliable Decision Support with LLMs: A Framework for Evaluating Consistency in Binary Text Classification Applications
Fadel M. Megahed, Ying-Ju Chen, L. Allision Jones-Farmer +3
This study introduces a framework for evaluating consistency in large language model (LLM) binary text classification, addressing the lack of established reliability assessment met…
Adapting OpenAI's CLIP Model for Few-Shot Image Inspection in Manufacturing Quality Control: An Expository Case Study with Multiple Application Examples
Fadel M. Megahed, Ying-Ju Chen, Bianca Maria Colosimo +5
This expository paper introduces a simplified approach to image-based quality inspection in manufacturing using OpenAI's CLIP (Contrastive Language-Image Pretraining) model adapted…
Domain-Informed Negative Sampling Strategies for Dynamic Graph Embedding in Meme Stock-Related Social Networks
Yunming Hui, Inez Maria Zwetsloot, Simon Trimborn +1
Social network platforms like Reddit are increasingly impacting real-world economics. Meme stocks are a recent phenomena where price movements are driven by retail investors organi…
Non-Progressive Influence Maximization in Dynamic Social Networks
Yunming Hui, Shihan Wang, Melisachew Wudage Chekol +2
The influence maximization (IM) problem involves identifying a set of key individuals in a social network who can maximize the spread of influence through their network connections…
Social Network Datasets on Reddit Financial Discussion
Zezhong Wang, Siyang Hao, Inez Maria Zwetsloot +1
Stock markets are impacted by a large variety of factors including news and discussions among investors about investment opportunities. With the emergence of social media, new oppo…