Essays about: "autoencoders"

Showing result 21 - 25 of 100 essays containing the word autoencoders.

1. 21. Capturing genes with high impact based on reconstruction errors produced by variational autoencoders

   University essay from Högskolan i Skövde/Institutionen för biovetenskap

   Author : Utz Lovis Rieger; [2023]
   Keywords : ;

   Abstract : In this work we present a novel method to extract potential hub genes, transcription factors and regions with densely interconnected protein-protein-interaction networks from RNAseq data. To achieve this we deploy variational autoencoders, a generative machine learning framework, and extract the gene-wise reconstruction errors. READ MORE

3. 22. Deep Generative Modeling : An Overview of Recent Advances in Likelihood-based Models and an Application to 3D Point Cloud Generation

   University essay from Umeå universitet/Institutionen för matematik och matematisk statistik

   Author : Shams Methnani; [2023]
   Keywords : ;

   Abstract : Deep generative modeling refers to the process of constructing a model, parameterized by a deep neural network, that learns the underlying patterns and structures of the data generating process which produced the samples in a given dataset, in order to generate novel samples that resemble those in the original dataset. Deep generative models for 3D shape generation hold significant importance to various fields including robotics, medical imaging, manufacturing, computer animation and more. READ MORE

4. 23. Sign of the Times : Unmasking Deep Learning for Time Series Anomaly Detection

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Daniel Richards Ravi Arputharaj; [2023]
   Keywords : Anomaly detection; multivariate time series data; deep learning models; model complexity; resource-constrained systems; Variational Autoencoders VAEs ; Convolutional Variational Autoencoders; evaluation metrics in time series; Anomalidetektering; Multivariata tidsseriedata; Djupinlärningsmodeller; Modellkomplexitet; Resursbegränsade system; Variational Autoencoders VAEs ; Konvolutionella Variational Autoencoders; Utvärderingsmått inom tidsserier;

   Abstract : Time series anomaly detection has been a longstanding area of research with applications across various domains. In recent years, there has been a surge of interest in applying deep learning models to this problem domain. READ MORE

5. 24. Unsupervised Anomaly Detection in Multivariate Time Series Using Variational Autoencoders

   University essay from Lunds universitet/Matematik LTH

   Author : Elias Aronsson; [2023]
   Keywords : Anomaly Detection; Variational Autoencoder VAE ; Unsupervised Learning; Machine learning; AI; Technology and Engineering;

   Abstract : 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

6. 25. Credit Card Transaction Fraud Detection Using Neural Network Classifiers

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Ehsan Nazeriha; [2023]
   Keywords : GAN; Deep Learning; Variational Autoencoder; Anomaly Detection; SMOTE; GAN; Djupinlärning; Variational Autoencoder; Anomali detektering; SMOTE;

   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