1 citations · 1 across the 1 of their papers we have counts for
3 papers
cs.LG2020★ 1 cited
Inverse Classification with Limited Budget and Maximum Number of Perturbed Samples
Jaehoon Koo, Diego Klabjan, Jean Utke
Most recent machine learning research focuses on developing new classifiers for the sake of improving classification accuracy. With many well-performing state-of-the-art classifier…
cs.LG2018
Combined convolutional and recurrent neural networks for hierarchical classification of images
Jaehoon Koo, Diego Klabjan, Jean Utke
Deep learning models based on CNNs are predominantly used in image classification tasks. Such approaches, assuming independence of object categories, normally use a CNN as a featur…
stat.ML2018
Improved Classification Based on Deep Belief Networks
Jaehoon Koo, Diego Klabjan
For better classification generative models are used to initialize the model and model features before training a classifier. Typically it is needed to solve separate unsupervised…