Sökning: "Interpretable Machine Learning"

Visar resultat 16 - 20 av 23 avhandlingar innehållade orden Interpretable Machine Learning.

  1. 16. Together We Learn More : Algorithms and Applications for User-Centric Anomaly Detection

    Författare :Ece Calikus; Sławomir Nowaczyk; Onur Dikmen; Stefan Byttner; Evgeny Burnaev; Högskolan i Halmstad; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; data mining; machine learning; anomaly detection; Smart Cities and Communities; Smarta städer och samhällen;

    Sammanfattning : Anomaly detection is the problem of identifying data points or patterns that do not conform to normal behavior. Anomalies in data often correspond to important and actionable information such as frauds in financial applications, faults in production units, intrusions in computer systems, and serious diseases in patient records. LÄS MER

  3. 17. Patient stratification and treatment effects in diseases with disturbed cardiac function

    Författare :Gabriel Granåsen; Urban Wiklund; Frida Sandberg; Umeå universitet; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Biostatistics; Heart rate variability; Cardiac amyloidosis; hypertrophic cardiomyopathy; cluster analysis; Echocardiography; Long QT syndrome; Pediatric; Statins; Coronary artery calcium; Computer tomography; Machine learning; Predictive modeling;

    Sammanfattning : Background: Cardiovascular disease characteristics are often measured using a combination of different measurement modalities. By combining information from these modalities using statistical modelling we can gain additional knowledge about these diseases. LÄS MER

  4. 18. Z-Series : Mining and learning from complex sequential data

    Författare :Zed Lee; Panagiotis Papapetrou; Tony Lindgren; Toon Calders; Stockholms universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; data- och systemvetenskap; Computer and Systems Sciences;

    Sammanfattning : The amount and complexity of sequential data collected across various domains have grown rapidly, posing significant challenges for extracting useful knowledge from such data sources. The complexity arises from diverse sequence representations with varying granularities, such as multivariate time series, histogram snapshots, and heterogeneous health records, which often describe a single data instance with multiple sequences. LÄS MER

  5. 19. Structured Representation Using Latent Variable Models

    Författare :Cheng Zhang; Hedvig Kjellström; Jordan Boyd-Graber; KTH; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Computer Science; Datalogi;

    Sammanfattning : Over the past two centuries the industrial revolution automated a great part of work that involved human muscles. Recently, since the beginning of the 21st century, the focus has shifted towards automating work that is involving our brain to further improve our lives. LÄS MER

  7. 20. Chemogenomics: Models of Protein-Ligand Interaction Space

    Författare :Helena Strömbergsson; Gerard J Kleywegt; Jarl E S Wikberg; Torgeir R Hvidsten; John Overington; Uppsala universitet; []
    Nyckelord :;

    Sammanfattning : The large majority of the currently used drugs are small molecules that interact with proteins. Understanding protein-ligand recognition is thus central to drug discovery and design. Improved experimental techniques have resulted in an immense growth of drug target information. LÄS MER