Essays about: "Variational Autoencoders"
Showing result 11 - 15 of 39 essays containing the words Variational Autoencoders.
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11. Unsupervised Anomaly Detection in Multivariate Time Series Using Variational Autoencoders
University essay from Lunds universitet/Matematik LTHAbstract : In this master’s thesis, a novel unsupervised anomaly detection tool was developed in collaboration with Sandvik Rock Processing to assist engineers and experts in analyzing large amounts of sensor data from cone crushers used in the stone crushing industry. The tool focuses on analyzing power, pressure, and CSS sensor data. READ MORE
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12. Credit Card Transaction Fraud Detection Using Neural Network Classifiers
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : With increasing usage of credit card payments, credit card fraud has also been increasing. Therefore a fast and accurate fraud detection system is vital for the banks. To solve the problem of fraud detection, different machine learning classifiers have been designed and trained on a credit card transaction dataset. READ MORE
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13. Insurance Fraud Detection using Unsupervised Sequential Anomaly Detection
University essay from Linköpings universitet/Institutionen för datavetenskapAbstract : Fraud is a common crime within the insurance industry, and insurance companies want to quickly identify fraudulent claimants as they often result in higher premiums for honest customers. Due to the digital transformation where the sheer volume and complexity of available data has grown, manual fraud detection is no longer suitable. READ MORE
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14. Genre style transfer : Symbolic genre style transfer utilising GAN with additional genre-enforcing discriminators
University essay from Högskolan i Halmstad/Akademin för informationsteknologiAbstract : Style transfer using Generative adversarial networks (GANs) has been successful in recent publications. One field in style transfer is music style transfer, in which a piece of music is transformed in some way, be it through genre-, harmonic-, rhythmic transfer, etc. READ MORE
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15. Distance preserving Fermat VAE
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Deep neural networks takes their strength in the representations, or features, that they internally build. While these internal encodings help networks performing classification or regression tasks on specific data types, it exists a branch of machine learning that has for only purpose to build these representations. READ MORE