Sökning: "Interpretable AI"

Visar resultat 1 - 5 av 8 avhandlingar innehållade orden Interpretable AI.

  1. 1. Clinical investigation and application of Artificial Intelligence in diagnosis and prognosis of squamous cell carcinoma of the head and neck

    Författare :Amir M. Salehi; Karin Nylander; Lena Norberg-Spaak; Wojciech Golusinski; Umeå universitet; []
    Nyckelord :MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; SCCHN; SCCOT; Recurrence; ML; PET CT; mRNA; transcriptomic; proteomic; Diabetes; AI; Oto-Rhino-Laryngology; oto-rhino-laryngologi;

    Sammanfattning : Background: In Sweden around 1400 people are affected by head and neck cancer each year, and around 400 of these tumours are located in the mobile tongue (SCCOT). A major problem with these tumours is the high degree of relapse. LÄS MER

  3. 2. How can data science contribute to a greener world? : an exploration featuring machine learning and data mining for environmental facilities and energy end users

    Författare :Dong Wang; Mats Tysklind; Johan Trygg; Lili Jiang; Venkat Venkatasubramanian; Umeå universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Wastewater treatment; Process analytics; Big data; Machine learning; Interpretable AI; Power plants; Failure analysis; Data mining; Buildings; Energy consumption; Anomaly detection;

    Sammanfattning : Human society has taken many measures to address environmental issues. For example, deploying wastewater treatment plants (WWTPs) to alleviate water pollution and the shortage of usable water; using waste-to-energy (WtE) plants to recover energy from the waste and reduce its environmental impact. LÄS MER

  4. 3. Data-driven AI Techniques for Fashion and Apparel Retailing

    Författare :Chandadevi Giri; Ulf Johansson; Jenny Balkow; Xianyi Zeng; Sebastien Thomessey; Maria Riveiro; Högskolan i Borås; []
    Nyckelord :SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Digitalization; artificial intelligence; fashion and apparel industry; churn prediction; sales forecasting; campaign analysis; data driven AI decision-making; 数字化，人工智能，服装产业，客户流失预测，销售预测，竞争分析，数据驱动的人 工智能决策; Digitalisation; intelligence artificielle IA; industrie de la mode et de l habillement; prédiction de désabonnement; prévision des ventes; analyse des promotions; Prise de décision par IA axée sur les données; Digitalisering; Artificiell intelligens; Modeindustrin; Churnprediktion; Försäljningsprognoser; Kampanjanalys; Datadriven AI; Beslutsstöd; Business and IT; Handel och IT; Textil och mode generell ; Textiles and Fashion General ;

    Sammanfattning : Digitalisation allows companies to develop many new ways of interacting with customers and other stakeholders. These digital interactions typically generate data that can be stored and later processed for different objectives. LÄS MER

  5. 4. Structured Representations for Explainable Deep Learning

    Författare :Federico Baldassarre; Hossein Azizpour; Josephine Sullivan; Kevin Smith; Hamed Pirsiavash; KTH; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Explainable AI; Deep Learning; Self-supervised Learning; Transformers; Graph Networks; Computer Vision; Explainable AI; Deep Learning; Self-supervised Learning; Transformers; Graph Networks; Computer Vision; Datalogi; Computer Science;

    Sammanfattning : Deep learning has revolutionized scientific research and is being used to take decisions in increasingly complex scenarios. With growing power comes a growing demand for transparency and interpretability. The field of Explainable AI aims to provide explanations for the predictions of AI systems. LÄS MER

  7. 5. Context-based explanations for machine learning predictions

    Författare :Sule Anjomshoae; Lili Jiang; Vicenç Torra; Maria Riveiro; Umeå universitet; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Explainable AI; explainability; interpretability; black-box models; deep learning; neural networks; contextual importance; Computer Science; datalogi;

    Sammanfattning : In recent years, growing concern regarding trust in algorithmic decision-making has drawn attention to more transparent and interpretable models. Laws and regulations are moving towards requiring this functionality from information systems to prevent unintended side effects. LÄS MER