Now showing items 61-80 of 1142

    • A Systematic Review of Fairness, Accountability, Transparency and Ethics in Information Retrieval 

      Bernard, Nolwenn; Balog, Krisztian (Peer reviewed; Journal article, 2023)
      We live in an information society that strongly relies on information retrieval systems, such as search engines and conversational assistants. Consequently, the trustworthiness of these systems is of critical importance, ...
    • Generating Usage-related Questions for Preference Elicitation in Conversational Recommender Systems 

      Kostric, Ivica; Balog, Krisztian; Radlinski, Filip (Journal article, 2023)
      A key distinguishing feature of conversational recommender systems over traditional recommender systems is theirability to elicit user preferences using natural language. Currently, the predominant approach to preference ...
    • Optimizing Document Classification: Unleashing the Power of Genetic Algorithms 

      Mustafa, Ghulam; Rauf, Abid; Al-Shamayleh, Ahmad Sami; Sulaiman, Muhammad; Afzal, Muhammad Tanvir; Akhunzada, Adnan (Peer reviewed; Journal article, 2023)
      Many individuals, including researchers, professors, and students, encounter difficulties when searching for scholarly documents, papers, and journals within a specific domain. Consequently, scholars have begun to focus ...
    • Exploring the need for a CERT for the Norwegian Construction Sector 

      Skytterholm, Andrea Neverdal; Jaatun, Martin Gilje (Chapter, 2023)
      This paper presents an empirical study on the need for sector-specific CERT capacity in the Norwegian construction sector. Findings from the interviews demonstrate a need for developing competence in ICT security in this ...
    • The Control Zendo: A Game of Inductive Logic for Teaching Automatic Control 

      Rotondo, Damiano; Jimarkon, Pattamawan; Fjereide, Didrik Efjestad (Peer reviewed; Journal article, 2023)
      Board games and card games have been used with some degree of success in the implementation of active strategies for education, since they stimulate problem solving and increase the learning and engagement of the students. ...
    • Are you sure it’s an artifact? Artifact detection and uncertainty quantification in histological images 

      Kanwal, Neel; Lopez-Perez, Miguel; Kiraz, Umay; Zuiverloon, Tahlita C M; Molina, Rafael (Peer reviewed; Journal article, 2023)
      Modern cancer diagnostics involves extracting tissue specimens from suspicious areas and conducting histotechnical procedures to prepare a digitized glass slide, called whole slide image (WSI), for further examination. ...
    • Design of switching state-feedback controllers for linear systems subject to asymmetric saturations 

      Ruiz, Adrián; Rotondo, Damiano; Morcego, Bernardo (Peer reviewed; Journal article, 2023)
      This paper considers the problem of controlling a linear system affected by asymmetrical input saturation. The proposed solution is based on using a linear matrix inequality (LMI)-based methodology to find the gains of a ...
    • Event-triggered fault-tolerant leader-following control for homogeneous multi-agent systems 

      Vazquez Trejo, Juan Antonio; Chadli, Mohammed; Rotondo, Damiano; Adam Medina, Manuel; Theilliol, Didier (Peer reviewed; Journal article, 2022)
      In this paper, the design of an event-triggered fault-tolerant control for leader-following consensus in multi-agent systems subject to actuator faults is presented. The problem under consideration is to reduce the control ...
    • The Weighted Kalman Filter 

      Rotondo, Damiano (Peer reviewed; Journal article, 2023)
      This paper proposes a new version of the Kalman filter, referred to as weighted Kalman filter (WKF). In the WKF some recent results on the weighted linearization of nonlinear systems are exploited to incorporate modifications ...
    • Impact of extent of resection on outcome from glioblastoma using the RANO resect group classification system: a retrospective, population-based cohort study 

      Bjorland, Line; Mahesparan, Rupavathana; Fluge, Øystein; Gilje, Bjørnar; Kurz, Kathinka Dæhli; Farbu, Elisabeth (Peer reviewed; Journal article, 2023)
      Background Extent of resection (EOR) is associated with survival in glioblastoma. A standardized classification for EOR was lacking until a system was recently proposed by the response assessment in neuro-oncology (RANO) ...
    • Automatic analysis of X (Twitter) data for supporting depression diagnosis 

      Królak, Aleksandra; Wiktorski, Tomasz; Żmudzińska, Aleksandra (Peer reviewed; Journal article, 2023-12)
      Depression is an increasingly common problem that often goes undiagnosed. The aim of this paper was to determine whether an analysis of tweets can serve as a proxy for assessing depression levels in the society. The work ...
    • StreamLit based web user interface for NVIDIA Sionna based 6G Physical-Layer Simulation 

      Solheim, Brage (Master thesis, 2023)
      This thesis presents the development of a web-based user interface for the NVIDIA Sionna-based 6G Physical-Layer Simulation, leveraging the Streamlit framework. The primary objective of this project is to create an accessible, ...
    • Machine Learning-Based Analysis of Test Results 

      Sun, Xiaoyan (Master thesis, 2023)
      A comprehensive understanding of the overall performance of the tests is critical in software testing to make necessary adjustments to the test schedule or conduct targeted investigations. In ABB Bryne, the software testing ...
    • Learning Parameterized ODEs From Data 

      Li, Qing; Evje, Steinar; Geng, Jiahui (Peer reviewed; Journal article, 2023)
      In contemporary research, neural networks are being used to derive Ordinary Differential Equations (ODEs) from observations. However, parameterized ODEs pose a more significant challenge than non-parameterized ODEs since ...
    • ARTICONF decentralized social media platform for democratic crowd journalism 

      Rito Lima, Inês; Filipe, Vasco; Marinho, Claudia; Ulisses, Alexandre; Chakravorty, Antorweep; Hristov, Atanas; Saurabh, Nishant; Zhao, Zhiming; Xin, Ruyue; Prodan, Radu (Peer reviewed; Journal article, 2023)
      Media production and consumption behaviors are changing in response to new technologies and demands, giving birth to a new generation of social applications. Among them, crowd journalism represents a novel way of constructing ...
    • Vision transformers for small histological datasets learned through knowledge distillation 

      Kanwal, Neel; Eftestøl, Trygve Christian; Khoraminia, Farbod; Zuiverloon, Tahlita C M; Engan, Kjersti (Chapter, 2023)
      Computational Pathology (CPATH) systems have the potential to automate diagnostic tasks. However, the artifacts on the digitized histological glass slides, known as Whole Slide Images (WSIs), may hamper the overall performance ...
    • Availability model of a 5G-MEC system 

      Pathirana, Thilina Dhanushka Kalahe; Nencioni, Gianfranco (Chapter, 2023)
      Multi-access Edge Computing (MEC) is one of the enabling technologies of the fifth generation (5G) of mobile networks. MEC enables services with strict latency requirements by bringing computing capabilities close to the ...
    • Analysis of Machine Learning Based Imputation of Missing Data 

      Rizvi, Syed Tahir Hussain; Latif, Muhammad Yasir; Amin, Muhammad Saad; Telmoudi, Achraf Jabeur; Shah, Nasir Ali (Peer reviewed; Journal article, 2023)
      Data analysis and classification can be affected by the availability of missing data in datasets. To deal with missing data, either deletion- or imputation-based methods are used that result in the reduction of data records ...
    • MigraMEC: Hybrid Testbed for MEC App Migration 

      Wadatkar, Prachi Vinod; Garroppo, Rosario G.; Nencioni, Gianfranco (Chapter, 2023)
      Multi-access Edge Computing (MEC) enhances the capabilities of 5G by enabling the computation closer to the end-user for real-time and context-aware services. One of the main challenges of MEC is the migration of the MEC ...
    • NLP-Based Dementia Detection 

      Taleb Zadeh, Abolfazl (Master thesis, 2023)
      This thesis addresses a critical component of Alzheimer's disease (AD) diagnosis by utilizing transcripts of condensed speech data from Dementia Bank. The work uses pre-trained big language models and creates efficient ...