Search for dissertations about: "Maria Riveiro"

Showing result 1 - 5 of 7 swedish dissertations containing the words Maria Riveiro.

  1. 1. Visual analytics for maritime anomaly detection

    Author : María José Riveiro; Göran Falkman; Tom Ziemke; Dag Stranneby; Mikael Jern; Maria Riveiro; Örebro universitet; []
    Keywords : NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; visual analytics; anomaly detection; maritime traffic monitoring; analytical reasoning; information fusion; TECHNOLOGY; TEKNIKVETENSKAP; Information technology; Informationsteknik; Computer science; Datavetenskap; Computer and Systems Science; Data- och systemvetenskap; Technology; Teknik;

    Abstract : The surveillance of large sea areas typically involves  the analysis of huge quantities of heterogeneous data.  In order to support the operator while monitoring maritime traffic, the identification of anomalous behavior or situations that might need further investigation may reduce operators' cognitive load. READ MORE

  2. 2. Data-driven AI Techniques for Fashion and Apparel Retailing

    Author : Chandadevi Giri; Ulf Johansson; Jenny Balkow; Xianyi Zeng; Sebastien Thomessey; Maria Riveiro; Högskolan i Borås; []
    Keywords : SOCIAL SCIENCES; SAMHÄLLSVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURVETENSKAP; SAMHÄLLSVETENSKAP; NATURAL SCIENCES; SOCIAL 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 ;

    Abstract : 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. READ MORE

  3. 3. Transparency for future semi-automated systems : effects of transparency on operator performance, workload and trust

    Author : Tove Helldin; Göran Falkman; Maria Riveiro; Amy Loutfi; Lars Niklasson; Peter Svenmarck; Örebro universitet; []
    Keywords : NATURAL SCIENCES; NATURVETENSKAP; NATURVETENSKAP; NATURAL SCIENCES; NATURAL SCIENCES; NATURVETENSKAP; semi-automation; trust; system transparency; meta-information; information fusion; semiautomation; tillit; systemtransparens; meta-information; informationsfusion; Datavetenskap; Computer Science; Semi-automation; Technology; Teknik; Skövde Artificial Intelligence Lab SAIL ; Skövde Artificial Intelligence Lab SAIL ;

    Abstract : More and more complex semi-automated systems are being developed, aiding human operators to collect and analyze data and information and even to recommend decisions and act upon these. The goal of such development is often to support the operators make better decisions faster, while at the same time decrease their workload. READ MORE

  4. 4. Towards Enhanced Tactical Support Systems

    Author : Ulrika Ohlander; Maria Riveiro; Göran Falkman; Jens Alfredson; Mårtensson Lena; Högskolan i Skövde; []
    Keywords : NATURAL SCIENCES; NATURVETENSKAP; NATURVETENSKAP; NATURAL SCIENCES; teamwork; decision support; user participation; fighter aircraft; Natural sciences; Naturvetenskap; Skövde Artificial Intelligence Lab SAIL ; Skövde Artificial Intelligence Lab SAIL ;

    Abstract : Fighter pilots operate high-performing powerful aircraft, equipped with complex sensor systems, in a dynamic and hostile environment. The pilots need to have control over their own aircraft as well as the developing situation surrounding them. READ MORE

  5. 5. Towards Privacy Preserving Micro-data Analysis : A machine learning based perspective under prevailing privacy regulations

    Author : Navoda Senavirathne; Vicenç Torra; Maria Riveiro; Sonja Buchegger; Högskolan i Skövde; []
    Keywords : NATURAL SCIENCES; NATURVETENSKAP; NATURVETENSKAP; NATURAL SCIENCES; Data anonymization; data privacy; privacy-preserving machine learning; privacy preserving data publishing; personal data protection; Skövde Artificial Intelligence Lab SAIL ; Skövde Artificial Intelligence Lab SAIL ;

    Abstract : Machine learning (ML) has been employed in a wide variety of domains where micro-data (i.e., personal data) are used in the training process. READ MORE