1 citations · 1 across the 4 of their papers we have counts for
4 papers
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…
How Unlikely Is "Unlikely"? Assessing Verbal Probability Perception Across Large Language Models
Christos Petridis, Konstantinos Pelechrinis, Zoran Obradovic
Large language models increasingly produce and interpret verbal probability expressions, yet whether these expressions carry consistent meaning across models (or match human percep…
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…
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…