4 citations · 10 across the 4 of their papers we have counts for
4 papers
Few-shot learning for sentence pair classification and its applications in software engineering
Robert Kraig Helmeczi, Mucahit Cevik, Savas Yıldırım
Few-shot learning-the ability to train models with access to limited data-has become increasingly popular in the natural language processing (NLP) domain, as large language models…
A Prompt-based Few-shot Learning Approach to Software Conflict Detection
Robert K. Helmeczi, Mucahit Cevik, Savas Yıldırım
A software requirement specification (SRS) document is an essential part of the software development life cycle which outlines the requirements that a software program in developme…
Linear programming-based solution methods for constrained partially observable Markov decision processes
Robert K. Helmeczi, Can Kavaklioglu, Mucahit Cevik
Constrained partially observable Markov decision processes (CPOMDPs) have been used to model various real-world phenomena. However, they are notoriously difficult to solve to optim…
A multi-objective constrained POMDP model for breast cancer screening
Robert K. Helmeczi, Can Kavaklioglu, Mucahit Cevik +1
Breast cancer is a common and deadly disease, but it is often curable when diagnosed early. While most countries have large-scale screening programs, there is no consensus on a sin…