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cs.LG2026
Evaluating Large Language Models for Forced Outage Risk Prediction: Benefits and Comparison to Machine Learning
Christos Petridis, Zoran Obradovic, Mladen Kezunovic
This study examines the ability of large language models (LLMs) to predict the risk of weather-related forced outages in the distribution grid in a zero-shot framework, without lab…
cs.LG2026
Lineup Regularized Adjusted Plus-Minus (L-RAPM): Basketball Lineup Ratings with Informed Priors
Christos Petridis, Konstantinos Pelechrinis
Identifying combinations of players (that is, lineups) in basketball - and other sports - that perform well when they play together is one of the most important tasks in sports ana…
cs.LG2024★ 1 cited
Text Classification: Neural Networks VS Machine Learning Models VS Pre-trained Models
Christos Petridis
Text classification is a very common task nowadays and there are many efficient methods and algorithms that we can employ to accomplish it. Transformers have revolutionized the fie…