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Showing result 1 - 5 of 29 essays matching the above criteria.

  1. 1. Audio Anomaly Detection in Cars

    University essay from Göteborgs universitet/Institutionen för matematiska vetenskaper

    Author : Asma Hussein; [2023-09-11]
    Keywords : Audio Anomaly detection; Outlier detection; Machine learning; Mel Frequency; Chroma;

    Abstract : Audio anomaly detection in the context of car driving is a crucial task for ensuring vehicle safety and identifying potential faults. This paper aims to investigate and compare different methods for unsupervised audio anomaly detection using a data set consisting of recorded audio data from fault injections and normal "no fault" driving. READ MORE

  3. 2. Detection of software incidents from large log material with the use of unsupervised machine learning

    University essay from Göteborgs universitet/Institutionen för data- och informationsteknik

    Author : DIMITRIOS ANASTASIADIS; JAKUB LENART; [2022-06-20]
    Keywords : binary classification; log; anomaly detection; machine learning; Local Outlier Factor; Isolation Forest; PCA; LSTM-Autoencoder;

    Abstract : Computer systems generate log files, which contain information on the various operations performed by these systems. This information can support the process of error/failure detection and debugging. Therefore, anomalies can be spotted in the system through its produced log material. READ MORE

  4. 3. Insurance Fraud Detection using Unsupervised Sequential Anomaly Detection

    University essay from Linköpings universitet/Institutionen för datavetenskap

    Author : Anton Hansson; Hugo Cedervall; [2022]
    Keywords : Insurance Fraud Detection; Anomaly Detection; Long Short-Term Memory Networks LSTM ; Unsupervised Learning; Autoencoder AE ; Variational Autoencoder VAE ; Interpretable Machine Learning; Feature Engineering; Feature Selection; Feature Importance;

    Abstract : 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

  5. 4. Deep learning, LSTM and Representation Learning in Empirical Asset Pricing

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

    Author : Benjamin von Essen; [2022]
    Keywords : LSTM; empirical asset pricing; deep learning; representation learning; neural networks; LSTM; empirisk tillgångsvärdering; djupinlärning; representationsinlärning; neurala nätverk;

    Abstract : In recent years, machine learning models have gained traction in the field of empirical asset pricing for their risk premium prediction performance. In this thesis, we build upon the work of [1] by first evaluating models similar to their best performing model in a similar fashion, by using the same dataset and measures, and then expanding upon that. READ MORE

  6. 5. Federated Learning with FEDn for Financial Market Surveillance

    University essay from Uppsala universitet/Avdelningen för beräkningsvetenskap

    Author : Isak Voltaire Edoh; [2022]
    Keywords : machine learning; federated learning; privacy; market surveillance; financial markets; fraud detection; spoofing; market abuse; market manipulation; LSTM; FEDn;

    Abstract : Machine Learning (ML) is the current trend that most industries opt for to improve their business and operations. ML has also been adopted in the financial markets, where well-funded financial institutions employ the latest ML algorithms to gain an advantage on the market. READ MORE