3 papers
cs.LG2026
Topological Data Analysis and Graph-Theoretic Approaches for Tennis Match Prediction
Jake Schwaderer, Alexander Bastien, Omid Khormali +3
We present two approaches for predicting tennis match outcomes using topological data analysis and graph theory on ATP singles matches from 2000-2025. The first method applies lowe…
cs.GT2026
Machine Learning-Guided Quota Optimization for Multi-Round Two-Sided Matching
Omid Khormali, Mia Pesavento
This paper proposes an integrated framework for machine learning-guided quota optimization applied to multi-round sorority recruitment, a small two-sided market where approximately…
cs.LG2025
Hierarchical Persistence Velocity for Network Anomaly Detection: Theory and Applications to Cryptocurrency Markets
Omid Khormali
We introduce the Overlap-Weighted Hierarchical Normalized Persistence Velocity (OW-HNPV), a novel topological data analysis method for detecting anomalies in time-varying networks.…