6 citations · 6 across the 3 of their papers we have counts for
4 papers
A Generic and Model-Agnostic Exemplar Synthetization Framework for Explainable AI
Antonio Barbalau, Adrian Cosma, Radu Tudor Ionescu +1
With the growing complexity of deep learning methods adopted in practical applications, there is an increasing and stringent need to explain and interpret the decisions of such met…
Self-Supervised Representation Learning on Document Images
Adrian Cosma, Mihai Ghidoveanu, Michael Panaitescu-Liess +1
This work analyses the impact of self-supervised pre-training on document images in the context of document image classification. While previous approaches explore the effect of se…
Can string kernels pass the test of time in Native Language Identification?
Radu Tudor Ionescu, Marius Popescu
We describe a machine learning approach for the 2017 shared task on Native Language Identification (NLI). The proposed approach combines several kernels using multiple kernel learn…
How hard can it be? Estimating the difficulty of visual search in an image
Radu Tudor Ionescu, Bogdan Alexe, Marius Leordeanu +3
We address the problem of estimating image difficulty defined as the human response time for solving a visual search task. We collect human annotations of image difficulty for the…