• Anomaly Detection with Unknown Anomalies: Application to Maritime Machinery 

      Michalowska, Katarzyna; Riemer-Sørensen, Signe; Sterud, Camilla; Hjellset, Ole Magnus (Peer reviewed; Journal article, 2021)
      We present a framework for deriving anomaly detection algorithms on timeseries data when the time and expression of anomalous behaviour is unknown. The framework is suited for problems in which individual machine learning ...
    • Data Quality Barriers for Transparency in Public Procurement 

      Soylu, Ahmet; Corcho, Oscar; Elvesæter, Brian; Badenes-Olmedo, Carlos; Yedro Martínez, Francisco; Kovavic, Matej; Posinkovic, Matej; Medvescek, Mitja; Makgill, Ian; Taggart, Chris; Simperl, Elena; Lech, Till Christopher; Roman, Dumitru (Peer reviewed; Journal article, 2022)
      Governments need to be accountable and transparent for their public spending decisions in order to prevent losses through fraud and corruption as well as to build healthy and sustainable economies. Open data act as a major ...
    • Hybrid group anomaly detection for sequence data: application to trajectory data analytics 

      Belhadi, Asma; Djenouri, Youcef; Srivastava, Gautam; Cano, Alberto; Lin, Jerry Chun-Wei (Peer reviewed; Journal article, 2021)
      Many research areas depend on group anomaly detection. The use of group anomaly detection can maintain and provide security and privacy to the data involved. This research attempts to solve the deficiency of the existing ...