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Showing result 1 - 5 of 6 essays matching the above criteria.
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1. NEURAL MACHINE TRANSLATION FROM NORTH SÁMI TO SWEDISH
University essay from Göteborgs universitet / Institutionen för filosofi, lingvistik och vetenskapsteoriAbstract : Neural machine translation is a method used in automatic translation that makes use of artificial neural networks. A single model takes an input sequence and predicts the most likely output sequence of words after being trained on parallel data. READ MORE
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2. Java Syntax Error Repair Using RoBERTa
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Deep learning has achieved promising results for automatic program repair (APR).In this paper, we revisit this topic and propose an end-to-end approach Classfix tocorrect java syntax errors. Classfix uses the RoBERTa classification model to localizethe error, and uses the RoBERTa encoder-decoder model to repair the located buggyline. READ MORE
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3. Effects of Local Data Distortion in Federated Learning
University essay from Umeå universitet/Institutionen för datavetenskapAbstract : This study explored how clients with distorted data affected the Federated Learning process using the FedAvg and FedProx algorithms. Different amounts of the three distortions, Translation, Rotation, and Blur, were tested using three different Machine Learning models. READ MORE
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4. Emotion Detection from Electroencephalography Data with Machine Learning : Classification of emotions elicited by auditory stimuli from music on self-collected data sets
University essay from KTH/Skolan för kemi, bioteknologi och hälsa (CBH)Abstract : The recent advances in deep learning have made it state-of-the-art for many different tasks, making its potential usefulness for analyzing electroencephalography (EEG) data appealing. This study aims at automatic feature extraction and classification of likeability, valence, and arousal elicited by auditory stimuli from music by training deep neural networks (DNNs) on minimally pre-processed multivariate EEG time series. READ MORE
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5. Implementation of an 8-bit Dynamic Fixed-Point Convolutional Neural Network for Human Sign Language Recognition on a Xilinx FPGA Board
University essay from Lunds universitet/Institutionen för elektro- och informationsteknikAbstract : The goal of this thesis work is to implement a convolutional neural network on an FPGA device with the capability of recognising human sign language. The set of gestures that the neural network can identify has been taken from the Swedish sign language, and it consists of the signs used for representing the letters of the Swedish alphabet (a.k.a. READ MORE