Blar i ODA Open Digital Archive på forfatter "Engelstad, Paal"

Viser treff 1-5 av 5

    • Audition: a DevOps-oriented service optimization and testing framework for cloud environments 

      Borgenholt, Gaute; Begnum, Kyrre; Engelstad, Paal (Norsk informatikkonferanse;2013, Journal article; Peer reviewed, 2013)
      This paper demonstrates an approach to automated testing and quality assurance in cloud environments, which also takes deployment cost into consideration. With a distributed service architecture and some given performance ...

    • Building sentiment Lexicons applying graph theory on information from three Norwegian thesauruses 

      Hammer, Hugo; Bai, Aleksander; Yazidi, Anis; Engelstad, Paal (Norsk Informatikkonferanse;2014, Journal article; Peer reviewed, 2014)
      Sentiment lexicons are the most used tool to automatically predict sentiment in text. To the best of our knowledge, there exist no openly available sentiment lexicons for the Norwegian language. Thus in this paper ...

    • HITS-based Propagation Paradigm for Graph Neural Networks 

      Khan, Mehak; Borges Moreno e Mello, Gustavo; Habib, Laurence; Engelstad, Paal; Yazidi, Anis (ACM Transactions on Knowledge Discovery from Data;, Peer reviewed; Journal article, 2024)
      In this article, we present a new propagation paradigm based on the principle of Hyperlink-Induced Topic Search (HITS) algorithm. The HITS algorithm utilizes the concept of a “self-reinforcing” relationship of authority-hub. ...

    • Improving the Diversity of Bootstrapped DQN by Replacing Priors With Noise 

      Meng, Li; Goodwin, Morten; Yazidi, Anis; Engelstad, Paal (Peer reviewed; Journal article, 2022)
      Q-learning is one of the most well-known Reinforcement Learning algorithms. There have been tremendous efforts to develop this algorithm using neural networks. Bootstrapped Deep Q-Learning Network is amongst them. It ...

    • A Machine Learning-based Tool for Passive OS Fingerprinting with TCP Variant as a Novel Feature 

      Hagos, Desta Haileselassie; Yazidi, Anis; Kure, Øivind; Engelstad, Paal (IEEE Internet of Things Journal;Volume: 8, Issue: 5, Peer reviewed; Journal article, 2020-09-15)
      With the emergence of Internet of Things (IoT), securing and managing large, complex enterprise network infrastructure requires capturing and analyzing network traffic traces in real-time. An accurate passive Operating ...