Research

Understanding why shooters shoot - An AI-powered engine for basketball performance profiling

We present a tool that can visualize player performance profiles in a timely manner while taking into account factors such as play-style and game dynamics. Our approach generates interpretable heatmaps that allow us to identify and analyze how non-spatial factors, such as game dynamics or playstyle, affect player performance profiles.

AI-Powered Poetry Generation with Author Linguistic Style Transfer

A software system that combines computer science concepts with mathematical concepts to generate meaningful original poetry (in English) in the style of any given author.

Multi-Resolution Tensor Latent Factor Models for Automatic Performance Profiling of Basketball Players

Developing machine learning models (multi-resolution tensor latent factor models with tensor learning) to produce NBA players shooting profiles using spatio-temporal tracking data.

BACON: Deep-Learning Powered AI for Poetry Generation with Author Linguistic Style Transfer

A basic prototype of an automatic poetry generator with author linguistic style transfer.