Titlebook: Software and Data Engineering; 33rd International C Wenying Feng,Nick Rahimi,Venkatasivakumar Margapur Conference proceedings 2025 The Edit

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Enhancing Transparency and Privacy in Financial Fraud Detection: The Integration of Explainable AI action systems is critical to maintaining customer confidence. However, several factors complicate the creating of effective and efficient fraud detection systems. Notably, fraudulent transactions are infrequent, resulting in imbalanced transaction datasets where legitimate transactions vastly outnum

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Enhancing Generative AI Chatbot Accuracy Using Knowledge Graphacy and contextual relevance of their responses remains a challenge. This paper presents an innovative approach to enhancing the accuracy of generative AI chatbots by integrating knowledge graphs using Neo4j. We demonstrate how combining structured data from Knowledge Graphs with advanced large lang

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ReVisE: Emulated Visual Outfit Generation from User Reviews Using Generative-AIpresents ReVisE, a novel framework leveraging generative AI to address this issue by emulating outfit generation from user reviews. ReVisE combines a text-to-text Large Language Model (LLM) and a text-to-image Stable Diffusion (SD) model to create virtual outfits based on customer feedback. The LLM

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Nyzaireyus Harrison,Heather Broome,Yaju Shrestha,Alexander Robles,Aayush Gautam,Nick Rahimit can be utilized to study stochastic unit commitment and economic dispatch problems via a Markovian approach. The developed Markov-chain-based distributional forecasts are compared with existing approaches based on high-order autoregressive models and Markov chains by uniform quantization, and the

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Daniel Lanfear,Mina Maleki,Shadi Banitaang.. .Spatio-Temporal Data Streams is a valuable resource for researchers studying spatio-temporal data streams and Big Data analytics, as well as data engineers and data scientists solving data management and analytics problems associated with this class of data..