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1. Learning of text-level discourse parsing
Gregor Weiss, 2019, doktorsko delo/naloga

Ključne besede: natural language processing, shallow discourse relations, recurrent neural networks, attention mechanisms, language-independent, no external resources
Celotno besedilo (datoteka, 691,02 KB)

2. Emotion Recognition on Twitter Using Neural Networks
Niko Colnerič, 2019, doktorsko delo/naloga

Ključne besede: emotion recognition, text mining, Twitter, recurrent neural networks, convolutional neural networks
Celotno besedilo (datoteka, 3,36 MB)

3. Clustering time series of smart meter measurements
Matija Teršek, 2020, diplomsko delo/naloga

Ključne besede: time series, representations, clustering, recurrent neural networks, variational autoencoders, similarity measures
Celotno besedilo (datoteka, 965,33 KB)

4. Predicting Bitcoin’s volatility
Jan Pristovnik, 2022, magistrsko delo

Ključne besede: volatility, forecasting, time series, cryptocurrency, time-series analysis, machine learning, recurrent neural networks, LSTM
Celotno besedilo (datoteka, 10,26 MB)

5. An improved MSCNN and GRU model for rolling bearing fault diagnosis
Teng Wang, Youfu Tang, Tao Wang, Na Lei, 2023, izvirni znanstveni članek

Ključne besede: SENet, multiscale convolutional neural networks, gate recurrent unit, rolling bearings, fault diagnosis
Celotno besedilo (datoteka, 3,30 MB) Gradivo ima več datotek! Več...

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

Ključne besede: deep learning, recurrent neural networks, motion prediction, human-robot collaboration, adaptive robot control, motion recognition, dynamic movement primitives.
Celotno besedilo (datoteka, 12,52 MB)
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