Search Results for author: Gábor Szűcs

Found 5 papers, 5 papers with code

Zero Initialised Unsupervised Active Learning by Optimally Balanced Entropy-Based Sampling for Imbalanced Problems

1 code implementation Journal of Experimental & Theoretical Artificial Intelligence 2021 Gábor Szűcs, Dávid Papp

At the beginning of the active learning, there is not enough information for supervised machine learning method, thus our selection strategy is based on unsupervised learning (clustering).

Active Learning BIG-bench Machine Learning +1

Cannot find the paper you are looking for? You can Submit a new open access paper.