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1. Learning of text-level discourse parsing
Gregor Weiss, 2019, doctoral dissertation

Keywords: natural language processing, shallow discourse relations, recurrent neural networks, attention mechanisms, language-independent, no external resources
Full text (file, 691,02 KB)

2. Emotion Recognition on Twitter Using Neural Networks
Niko Colnerič, 2019, doctoral dissertation

Keywords: emotion recognition, text mining, Twitter, recurrent neural networks, convolutional neural networks
Full text (file, 3,36 MB)

3. Clustering time series of smart meter measurements
Matija Teršek, 2020, bachelor thesis/paper

Keywords: time series, representations, clustering, recurrent neural networks, variational autoencoders, similarity measures
Full text (file, 965,33 KB)

4. Predicting Bitcoin’s volatility
Jan Pristovnik, 2022, master's thesis

Keywords: volatility, forecasting, time series, cryptocurrency, time-series analysis, machine learning, recurrent neural networks, LSTM
Full text (file, 10,26 MB)

5. An improved MSCNN and GRU model for rolling bearing fault diagnosis
Teng Wang, Youfu Tang, Tao Wang, Na Lei, 2023, original scientific article

Keywords: SENet, multiscale convolutional neural networks, gate recurrent unit, rolling bearings, fault diagnosis
Full text (file, 3,30 MB) This document has more files! More...

6. Motion prediction in human-robot collaboration using deep recurrent neural networks
MATIJA MAVSAR, 2024, doctoral dissertation

Keywords: deep learning, recurrent neural networks, motion prediction, human-robot collaboration, adaptive robot control, motion recognition, dynamic movement primitives.
Full text (file, 12,52 MB)
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