Search Results - "Skovajsová, Lenka"

Towards Reliable Baselines for Document-Level Sentiment Analysis in the Czech and Slovak Languages by Mojžiš, Ján, Krammer, Peter, Kvassay, Marcel, Skovajsová, Lenka, Hluchý, Ladislav

“…This article helps establish reliable baselines for document-level sentiment analysis in highly inflected languages like Czech and Slovak. We revisit an…”
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Comparison of Cryptography by Chaotic Neural Network and by AES by Skovajsova, Lenka

“…In this paper, the two methods for ciphering are presented and compared. The aim is to reveal the suitability of chaotic neural network approach to ciphering…”
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Long short-term memory description and its application in text processing by Skovajsova, Lenka

“…The paper describes the state-of-the-art of Long Short-Term Memory (LSTM) neural networks with fixation to context utilization in text documents. Context in…”
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Soft clustering algorithms based on neural networks by Skovajsova, L., Rojcek, M.

“…This paper is oriented into the text document retrieval area. The aim of the paper is to compare two soft document clustering methods by using neural networks,…”
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Feedforward Neural Network Classification of Tree Species Using Hyperspectral Imagery by Skovajsova, Lenka, Badidova, Bianca, Bilanska, Michaela, Dedera, Lubomir, Javurek, Martin, Dulik, Miroslav

“…The aim of this study is to validate the assumption that pixel-based classification of hyperspectral tree data can be applied using a Feedforward Neural…”
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Bigradient learning algorithm for dimension reduction of text document space by Skovajsova, L., Mokris, I.

“…This paper shows text document dimension reduction and clustering technique which is called the bigradient learning algorithm. This algorithm is based on the…”
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Document space dimension reduction by nonlinear Hebbian neural network by Skovajsova, L., Mokris, I.

“…This paper deals with information retrieval of text documents, and their clustering into some other feature space. The aim of this paper is to reduce the…”
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Dimension reduction in text document retrieval by Hebbian neural network and nonlinear activation functions by Skovajsova, L., Mokris, I.

“…The paper deals with utilization of neural networks for information retrieval. It is focused on reduction of text document space by Hebbian neural networks…”
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