Sökning: "AI maskininlärning"

Visar resultat 1 - 5 av 17 avhandlingar innehållade orden AI maskininlärning.

  1. 1. Quantifying Gait Characteristics and Neurological Effects in people with Spinal Cord Injury using Data-Driven Techniques

    Författare :Minh Truong; Elena Gutierrez-Farewik; Ruoli Wang; Emelie Butler Forslund; Åke Seiger; Peter Christian Raffalt; KTH; []
    Nyckelord :MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; gait analysis; pathological gait; biomechanics; health informatics; metabolic cost; unsupervised learning; nonparametric regression; shapley addictive explanations; gånganalys; funktionsnedsättning; gångpatologi; energiförbrukning; maskininlärning; hälsoinformatik; biomekanik; AI; Teknisk mekanik; Engineering Mechanics;

    Sammanfattning : Spinal cord injury, whether traumatic or nontraumatic, can partially or completely damage sensorimotor pathways between the brain and the body, leading to heterogeneous gait abnormalities. Mobility impairments also depend on other factors such as age, weight, time since injury, pain, and walking aids used. 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. Neural networks in context: challenges and opportunities : a critical inquiry into prerequisites for user trust in decisions promoted by neural networks

    Författare :Lars Holmberg; Paul Davidsson; Per Linde; Carl Magnus Olsson; Maria Riveiro; Malmö universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Explainable AI; Machine Learning; Neural Network; Concept; Generalisation; Out-of-Distribution; Förklaringsbar AI; Maskininlärning; Neurala Nätverk; Koncept; Generalisering; Utanför-distributionen;

    Sammanfattning : Artificial intelligence and machine learning (ML) in particular increasingly impact human life by creating value from collected data. This assetisation affects all aspectsof human life, from choosing a significant other to recommending a product for us to consume. LÄS MER

  5. 4. Holistic Grasping: Affordances, Grasp Semantics, Task Constraints

    Författare :Martin Hjelm; Danica Kragic; Markus Vincze; KTH; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; robotics; robotic grasping; grasping; cognition; embodied cognition; computer vision; machine learning; artificial intelligence; AI; Gaussian process; Gaussian process latent variable model; GPLVM; 3D vision; point cloud features; robotik; manipulation; datorseende; maskininlärning; artificiell intelligens; kognition; Computer Science; Datalogi;

    Sammanfattning : Most of us perform grasping actions over a thousand times per day without giving it much consideration, be it from driving to drinking coffee. Learning robots the same ease when it comes to grasping has been a goal for the robotics research community for decades. LÄS MER

  7. 5. Bayesian Models for Spatiotemporal Data from Transportation Networks

    Författare :Héctor Rodriguez Déniz; Mattias Villani; Augusto Voltes-Dorta; Yusak Susilo; Linköpings universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Bayesian statistics; Transportation networks; Spatiotemporal data; Machine learning; Bayesiansk statistik; Transportnätverk; Spatiotemporal data; Maskininlärning;

    Sammanfattning : Urbanization has caused a historical transformation at a global scale, and humanity is moving towards a fully connected society where cities will concentrate population, infrastructure and economic activity. A key element in the cities’ infrastructure is the transportation system, as it facilitates the mobility of people and goods. LÄS MER