L Maltoudoglou, A Paisios, L Lenc, J Martínek, P Král… - Pattern Recognition, 2022 - Elsevier
We extend our previous work on Inductive Conformal Prediction (ICP) for multi-label text classification and present a novel approach for addressing the computational inefficiency of …
H He, R Xia - Natural Language Processing and Chinese Computing …, 2018 - Springer
Recently the deep learning techniques have achieved success in multi-label classification due to its automatic representation learning ability and the end-to-end learning framework …
Big data technology has gained attention in all fields, particularly with regard to research and financial institutions. This technology has changed the world tremendously …
Due to the mass availability of textual data on Web, text classification (TC), classifying texts into predetermined sets becomes a spotlight for researchers. A number of TC applications …
Non-invasive acoustic analyses of voice disorders have been at the forefront of current biomedical research. Usual strategies, essentially based on machine learning (ML) …
J Lehečka, J Švec - Statistical Language and Speech Processing: 9th …, 2021 - Springer
In this paper, we present our progress in pre-training monolingual Transformers for Czech and contribute to the research community by releasing our models for public. The need for …
This paper describes our system created to detect stance in online discussions. The goal is to identify whether the author of a comment is in favor of the given target or against. We …
Malware domains generated by Domain Generated Algorithms (DGA) are highly dynamic in nature. The traditional approach of blacklisting the malicious domains is a time consuming …
This paper deals with the automatic classification of medical reports in the form of unstructured texts in Czech. The outcomes of this work are intended to be integrated into a …