Sökning: "feature learning"

Visar resultat 1 - 5 av 208 avhandlingar innehållade orden feature learning.

  1. 1. Learning in Collaboration : Academics’ experiences in collaborative partnerships

    Författare :Jan Karlsson; Elsie Anderberg; Shirley Booth; Per Odenrick; Pedagogik; []
    Nyckelord :SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; multidisciplinary; SMARTA; krAft; Sweden; NIWL; holistic learning of scholarship; scholarship; interactive research; service; collaboration; Learning; SMEs; academia; Education; Pedagogik; SMARTA; multidisciplinary; krAft; Sweden; NIWL; holistic learning of scholarship; scholarship; interactive research; service; collaboration; Learning; SMEs; academia;

    Sammanfattning : There is an ongoing debate both in the United States and Europe about the need to develop a broader view of scholarship and the different activities connected with it, including “service to the community”. In Sweden, service takes the form of practice-oriented engagement and collaboration with the surrounding community, as stipulated by Swedish law regulating universities’ activities. LÄS MER

  3. 2. Visual Analytics for Explainable and Trustworthy Machine Learning

    Författare :Angelos Chatzimparmpas; Andreas Kerren; Rafael M. Martins; Ilir Jusufi; Alex Endert; Linnéuniversitetet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; visualization; interaction; visual analytics; explainable machine learning; XAI; trustworthy machine learning; ensemble learning; dimensionality reduction; supervised learning; unsupervised learning; ML; AI; tabular data; visualisering; interaktion; visuell analys; förklarlig maskininlärning; XAI; pålitlig maskininlärning; ensembleinlärning; dimensionesreducering; övervakad inlärning; oövervakad inlärning; ML; AI; tabelldata; Computer Science; Datavetenskap; Informations- och programvisualisering; Information and software visualization;

    Sammanfattning : The deployment of artificial intelligence solutions and machine learning research has exploded in popularity in recent years, with numerous types of models proposed to interpret and predict patterns and trends in data from diverse disciplines. However, as the complexity of these models grows, it becomes increasingly difficult for users to evaluate and rely on the model results, since their inner workings are mostly hidden in black boxes, which are difficult to trust in critical decision-making scenarios. LÄS MER

  4. 3. Lärarutbildarens professionella agency i en digital tid

    Författare :Anna Roumbanis-Viberg; Karin Forslund Frykedal; Cathrine Edelhard Tømte; Högskolan Väst; []
    Nyckelord :SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; Professional agency; digitalization; teacher educator; professional identity; Professionell agency; digitalisering; lärarutbildare; professionell identitet; Work Integrated Learning; Arbetsintegrerat lärande;

    Sammanfattning : Avhandlingen undersöker hur lärarutbildare uppfattar och hanterar sin yrkesvardag i en digital tid. Den digitala transformationen av samhället innebär att lärarutbildaren står inför att lära nytt, att förstå och hantera digitaliseringen i sitt professionella utövande och samtidigt utveckla studenters professionella digitala kompetens och en förståelse för sitt kommande digitala läraruppdrag. LÄS MER

  5. 4. Statistical Feature Selection : With Applications in Life Science

    Författare :Roland Nilsson; Jesper Tegnér; Johan Björkegren; Sepp Hochreiter; Linköpings universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Machine learning; supervised learning; classification; dimemsionality reduction; multiple testing; gene expression; microarray; cancer; Bioinformatics; Bioinformatik;

    Sammanfattning : The sequencing of the human genome has changed life science research in many ways. Novel measurement technologies such as microarray expression analysis, genome-wide SNP typing and mass spectrometry are now producing experimental data of extremely high dimensions. LÄS MER

  7. 5. Automated Malware Detection and Classification Using Supervised Learning

    Författare :Raja Muhammad Khurram Shahzad; Niklas Lavesson; Martin Boldt; Welf Löwe; Blekinge Tekniska Högskola; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Malware Detection; Android Malware; Machine Learning; Static Malware Analysis; Cyber Security; Ensemble learning; Supervised Learning; Feature Selection; Computer Science; Datavetenskap;

    Sammanfattning : Malware has been one of the key concerns for Information Technology security researchers for decades. Every year, anti-malware companies release alarming statistics suggesting a continuous increase in the number and types of malware. LÄS MER