Blar i TKD - Institutt for informasjonsteknologi på forfatter "Yazidi, Anis"

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    • Balanced difficulty task finder: an adaptive recommendation method for learning tasks based on the concept of state of flow 

      Yazidi, Anis; Abolpour Mofrad, Asieh; Goodwin, Morten; Hammer, Hugo Lewi; Arntzen, Erik (Cognitive Neurodynamics;14, Journal article; Peer reviewed, 2020-08-27)
      An adaptive task difficulty assignment method which we reckon as balanced difficulty task finder (BDTF) is proposed in this paper. The aim is to recommend tasks to a learner using a trade-off between skills of the learner and ...

    • Building domain specific sentiment lexicons combining information from many sentiment lexicons and a domain specific corpus 

      Hammer, Hugo Lewi; Yazidi, Anis; Bai, Aleksander; Engelstad, Paal E. (Computer Science and Its Applications: 5th IFIP TC 5 International Conference, CIIA 2015, Saida, Algeria, May 20-21, 2015, Proceedings;, Peer reviewed; Chapter, 2015)
      Most approaches to sentiment analysis requires a sentiment lexicon in order to automatically predict sentiment or opinion in a text. The lexicon is generated by selecting words and assigning scores to the words, and the ...

    • 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 ...

    • Classification of Delay-based TCP Algorithms From Passive Traffic Measurements 

      Hagos, Desta Haileselassie; Engelstad, Paal E.; Yazidi, Anis (IEEE International Symposium on Network Computing and Applications;, Conference object, 2019-12-19)
      Identifying the underlying TCP variant from passive measurements is important for several reasons, e.g., exploring security ramifications, traffic engineering in the Internet, etc. In this paper, we are interested in ...

    • Concept drift detection using online histogram-based bayesian classifiers 

      Astudillo, César A.; Gonzalez, Javier I.; Oommen, John; Yazidi, Anis (Lecture Notes in Computer Science;9992, Journal article; Peer reviewed, 2016)
      In this paper, we present a novel algorithm that performs online histogram-based classification, i.e., specifically designed for the case when the data is dynamic and its distribution is non-stationary. Our method, called ...

    • The Concept of Workload Delay as a Quality-of-Service Metric for Consolidated Cloud Environments with Deadline Requirements 

      Tasoulas, Evangelos; Hammer, Hugo Lewi; Haugerud, Hårek; Yazidi, Anis; Bratterud, Alfred; Feng, Boning (Chapter; Peer reviewed, 2017)
      Virtual Machine (VM) consolidation in the cloud has received significant research interest. A large body of approaches for VM consolidation in data centers resort to variants of the bin packing problem which tries to ...

    • Cost efficient batch processing in amazon cloud with deadline awareness 

      Tamrakar, Kabin; Yazidi, Anis; Haugerud, Hårek (Advanced Information Networking and Applications;2017 IEEE 31st International Conference on Advanced Information Networking and Applications (AINA), Journal article; Peer reviewed, 2017)
      Amazon spot instances have become a very popular alternative for cost-saving in the cloud. The spot instances are prone to abrupt termination whenever the spot market price exceeds the bid price. In this paper, spot instances ...

    • Coverage Strategy for Small-Cell UAV-Based Networks in IoT Environment 

      Aoueileyine, Mohamed Ould-Elhassen; Allani, Ramzi; Bouallegue, Ridha; Yazidi, Anis (Peer reviewed; Journal article, 2023)
      In wireless communication, small cells are low-powered cellular base stations that can be used to enhance the coverage and capacity of wireless networks in areas where traditional cell towers may not be practical or ...

    • Data center traffic scheduling with hot-cold link detection capabilities 

      Yazidi, Anis; Hussein, Abdi; Feng, Boning (RACS '18 Proceedings of the 2018 Conference on Research in Adaptive and Convergent Systems;, Chapter; Chapter; Peer reviewed, 2018)
      Software-Defined Networking (SDN) has been one of the most discussed areas in computer networking over the last years. The field has raised an extensive amount of research, and led to a transformation of traditional network ...

    • Data fusion without knowledge of the ground truth using Tseltin-like Automata 

      Yazidi, Anis; Sandnes, Frode Eika (Chapter; Peer reviewed; Chapter, 2016)
      The fusioning of data from unreliable sensors has received much research attention. The main stream of research assesses the reliability of a sensor by comparing its readings to the ground ...

    • A Decentralized Approach for Homogenizing Load Distribution in Cloud Data Center Based on Stable Marriage Matching 

      Sangar, Disha; Haugerud, Hårek; Yazidi, Anis; Begnum, Kyrre Matthias (MEDES '19: Proceedings of the 11th International Conference on Management of Digital EcoSystems;, Conference object, 2019)
      Running a sheer virtualized data center with the help of Virtual Machines (VM) is the de facto-standard in modern data centers. Live migration offers immense flexibility opportunities as it endows the system administrators ...

    • A Deep Diagnostic Framework Using Explainable Artificial Intelligence and Clustering 

      Thunold, Håvard Horgen; Riegler, Michael; Yazidi, Anis; Hammer, Hugo Lewi (Peer reviewed; Journal article, 2023)
      An important part of diagnostics is to gain insight into properties that characterize a disease. Machine learning has been used for this purpose, for instance, to identify biomarkers in genomics. However, when patient ...

    • A Deep Learning Approach to Dynamic Passive RTT 

      Hagos, Desta Haileselassie; Engelstad, Paal E.; Yazidi, Anis; Griwodz, Carsten (2019 IEEE 38th International Performance Computing and Communications Conference (IPCCC);, Conference object, 2019)
      The Round-Trip Time (RTT) is a property of the path between a sender and a receiver communicating with Transmission Control Protocol (TCP) over an IP network and over the public Internet. The end-to-end RTT value influences ...

    • A Deep Learning Approach to Dynamic Passive RTT Prediction Model for TCP 

      Hagos, Desta Haileselassie; Engelstad, Paal E.; Yazidi, Anis; Griwodz, Carsten (IEEE International Conference Performance, Computing and Communications (IPCCC);, Conference object, 2020-01-16)
      The Round-Trip Time (RTT) is a property of the path between a sender and a receiver communicating with Transmission Control Protocol (TCP) over an IP network and over the public Internet. The end-to-end RTT value influences ...

    • Distributed Learning Automata-based S-learning scheme for classification 

      Goodwin, Morten; Yazidi, Anis; Jonassen, Tore Møller (Pattern Analysis and Applications;Published online 12 October 2019, Journal article; Peer reviewed, 2019-09-10)
      This paper proposes a novel classifier based on the theory of Learning Automata (LA), reckoned to as PolyLA. The essence of our scheme is to search for a separator in the feature space by imposing an LA-based random walk ...

    • Distributed learning automata-based scheme for classification using novel pursuit scheme 

      Goodwin, Morten; Yazidi, Anis (Applied intelligenc;volume 50, issue 7, Peer reviewed; Journal article, 2020-03-02)
      Learning Automata (LA) is a popular decision making mechanism to “determine the optimal action out of a set of allowable actions” (Agache and Oommen, IEEE Trans Syst Man Cybern-Part B Cybern 2002(6): 738–749, 2002). The ...

    • DoS and DDoS mitigation using Variational Autoencoders 

      Bårli, Eirik Molde; Yazidi, Anis; Viedma, Enrique Herrera; Haugerud, Hårek (Computer Networks;Volume 199, 9 November 2021, 108399, Peer reviewed; Journal article, 2021-09-01)
      DoS and DDoS attacks have been growing in size and number over the last decade and existing solutions to mitigate these attacks are largely inefficient. Compared to other types of malicious cyber attacks, DoS and DDoS ...

    • A dynamic and scalable parallel Network Intrusion Detection System using intelligent rule ordering and Network Function Virtualization 

      Haugerud, Hårek; Tran, Huy Nhut; Aitsaadi, Nadjib; Yazidi, Anis (Future generations computer systems;Volume 124, November 2021, Peer reviewed; Journal article, 2021-06-12)
      A Network Intrusion Detection System (NIDS) is a fundamental security tool. However, under heavy network traffic, a NIDS might become a bottleneck. In an overloaded state, incoming and outgoing packets in the network might ...

    • Dynamic Ordering of Firewall Rules Using a Novel Swapping Window-based Paradigm 

      Mohan, Ratish; Yazidi, Anis; Feng, Boning; Oommen, John (Peer reviewed; Chapter, 2016)
      Designing and implementing efficient firewall strategies in the age of the Internet of Things (IoT) is far from trivial. This is because, as time proceeds, an increasing number of devices will be connected, accessed and ...

    • The Dynamical Landscape of Reservoir Computing with Elementary Cellular Automata 

      Glover, Tom Eivind; Lind, Pedro; Yazidi, Anis; Osipov, Evgeny; Nichele, Stefano (Conference object, 2021)
      Reservoir Computing with Cellular Automata (ReCA) is a promising concept by virtue of its potential for efficient hardware implementation and theoretical understanding of Cellular Auotmata (CA). However, ReCA has so far ...