15 citations · 22 across the 9 of their papers we have counts for
11 papers
ViperQ: Order Flow Pattern Recognition via Auction Market Theory for Reinforcement Learning Trading
Asser Moustafa, Rares-Mihail Neagu, Jugal Kalita
Reinforcement learning trading systems published in the academic literature overwhelmingly rely on price-aggregate state representations (OHLCV bars) or limit-order-book depth feat…
AUTOPILOT VQA: Benchmarking Vision-Language Models for Incident-Centric Dashcam Understanding
Siddharth Damodharan, Radhika Gupta, Ali Alshami +2
Recent advances in Vision-Language Models, Large Language Models, and Multimodal Large Language Models have improved autonomous driving tasks such as scene understanding, decision…
Explainable AI: Context-Aware Layer-Wise Integrated Gradients for Explaining Transformer Models
Melkamu Abay Mersha, Jugal Kalita
Transformer models achieve state-of-the-art performance across domains and tasks, yet their deeply layered representations make their predictions difficult to interpret. Existing e…
Analyzing Code Injection Attacks on LLM-based Multi-Agent Systems in Software Development
Brian Bowers, Smita Khapre, Jugal Kalita
Agentic AI and Multi-Agent Systems are poised to dominate industry and society imminently. Powered by goal-driven autonomy, they represent a powerful form of generative AI, marking…
Toxicity in Online Platforms and AI Systems: A Survey of Needs, Challenges, Mitigations, and Future Directions
Smita Khapre, Melkamu Abay Mersha, Hassan Shakil +2
The evolution of digital communication systems and the designs of online platforms have inadvertently facilitated the subconscious propagation of toxic behavior. Giving rise to rea…
Drug Repurposing Using Deep Embedded Clustering and Graph Neural Networks
Luke Delzer, Robert Kroleski, Ali K. AlShami +1
Drug repurposing has historically been an economically infeasible process for identifying novel uses for abandoned drugs. Modern machine learning has enabled the identification of…
Semantic-Driven Topic Modeling for Analyzing Creativity in Virtual Brainstorming
Melkamu Abay Mersha, Jugal Kalita
Virtual brainstorming sessions have become a central component of collaborative problem solving, yet the large volume and uneven distribution of ideas often make it difficult to ex…
2COOOL: 2nd Workshop on the Challenge Of Out-Of-Label Hazards in Autonomous Driving
Ali K. AlShami, Ryan Rabinowitz, Maged Shoman +9
As the computer vision community advances autonomous driving algorithms, integrating vision-based insights with sensor data remains essential for improving perception, decision mak…
Explainable AI: XAI-Guided Context-Aware Data Augmentation
Melkamu Abay Mersha, Mesay Gemeda Yigezu, Atnafu Lambebo Tonja +4
Explainable AI (XAI) has emerged as a powerful tool for improving the performance of AI models, going beyond providing model transparency and interpretability. The scarcity of labe…
A Unified Framework with Novel Metrics for Evaluating the Effectiveness of XAI Techniques in LLMs
Melkamu Abay Mersha, Mesay Gemeda Yigezu, Hassan Shakil +3
The increasing complexity of LLMs presents significant challenges to their transparency and interpretability, necessitating the use of eXplainable AI (XAI) techniques to enhance tr…
Blockchain-based Trust Management in Security Credential Management System for Vehicular Network
SangHyun Byun, Arijet Sarker, Sang-Yoon Chang +1
Cellular networking is advancing as a wireless technology to support diverse applications in vehicular communication, enabling vehicles to interact with various applications to enh…