5 citations · 8 across the 5 of their papers we have counts for
5 papers
Financial Fraud Detection using Jump-Attentive Graph Neural Networks
Prashank Kadam
As the availability of financial services online continues to grow, the incidence of fraud has surged correspondingly. Fraudsters continually seek new and innovative ways to circum…
Enhancing Financial Fraud Detection with Human-in-the-Loop Feedback and Feedback Propagation
Prashank Kadam
Human-in-the-loop (HITL) feedback mechanisms can significantly enhance machine learning models, particularly in financial fraud detection, where fraud patterns change rapidly, and…
GPT-Guided Monte Carlo Tree Search for Symbolic Regression in Financial Fraud Detection
Prashank Kadam
With the increasing number of financial services available online, the rate of financial fraud has also been increasing. The traffic and transaction rates on the internet have incr…
Dual Monte Carlo Tree Search
Prashank Kadam, Ruiyang Xu, Karl Lieberherr
AlphaZero, using a combination of Deep Neural Networks and Monte Carlo Tree Search (MCTS), has successfully trained reinforcement learning agents in a tabula-rasa way. The neural M…
First-Order Problem Solving through Neural MCTS based Reinforcement Learning
Ruiyang Xu, Prashank Kadam, Karl Lieberherr
The formal semantics of an interpreted first-order logic (FOL) statement can be given in Tarskian Semantics or a basically equivalent Game Semantics. The latter maps the statement…