Browsing SAM - Institutt for sosialfag by Author "Halvorsen, Pål"

Now showing items 1-9 of 9

    • AI-Based Cropping of Soccer Videos for Different Social Media Representations 

      Houshmand Sarkhoosh, Mehdi; Dorcheh, Sayed Mohammad Majidi; Midoglu, Cise; Sabet, Saeed; Kupka, Tomas; Johansen, Dag; Riegler, Michael Alexander; Halvorsen, Pål (Chapter; Peer reviewed; Conference object; Journal article, 2024)
      The process of re-publishing soccer videos on social media often involves labor-intensive and tedious manual adjustments, particularly when altering aspect ratios while trying to maintain key visual elements. To address ...

    • Correlation Visualization Under Missing Values: A Comparison Between Imputation and Direct Parameter Estimation Methods 

      Pham, Nhat-Hao; Vo, Khanh-Linh; Vu, Mai Anh; Nguyen, Thu; Riegler, Michael Alexander; Halvorsen, Pål; Nguyen, Binh T. (Chapter, 2024)
      Correlation matrix visualization is essential for understanding the relationships between variables in a dataset, but missing data can seriously affect this important data visualization tool. In this paper, we compare the ...

    • Enhancing questioning skills through child avatar chatbot training with feedback 

      Røed, Ragnhild Klingenberg; Baugerud, Gunn Astrid; Zohaib Hassan, Syed; Shafiee Sabet, Saeed; Salehi, Pegah; Powell, Martine B.; Riegler, Michael Alexander; Halvorsen, Pål; Sinkerud Johnson, Miriam (Peer reviewed; Journal article, 2023)
      Training child investigative interviewing skills is a specialized task. Those being trained need opportunities to practice their skills in realistic settings and receive immediate feedback. A key step in ensuring the ...

    • Kvasir-VQA: A Text-Image Pair GI Tract Dataset 

      Gautam, Sushant; Storås, Andrea; Midoglu, Cise; Hicks, Steven; Thambawita, Vajira L B; Halvorsen, Pål; Riegler, Michael Alexander (Chapter; Peer reviewed; Conference object, 2024)
      We introduce Kvasir-VQA, an extended dataset derived from the HyperKvasir and Kvasir-Instrument datasets, augmented with questionand-answer annotations to facilitate advanced machine learning tasks in Gastrointestinal (GI) ...

    • Stress management with HRV following AI, semantic ontology, genetic algorithm and tree explainer 

      Chatterjee, Ayan; Riegler, Michael Alexander; Halvorsen, Pål (Peer reviewed; Journal article, 2025)
      Heart Rate Variability (HRV) serves as a vital marker of stress levels, with lower HRV indicating higher stress. It measures the variation in the time between heartbeats and offers insights into health. Artificial intelligence ...

    • Sustainable Commercial Fishery Control Using Multimedia Forensics Data from Non-trusted, Mobile Edge Nodes 

      Ovesen, Aril Bernhard; Nordmo, Tor-Arne Schmidt; Riegler, Michael Alexander; Halvorsen, Pål; Johansen, Dag (Chapter; Peer reviewed; Conference object; Journal article, 2024)
      Uncontrolled over-fishing has been exemplified by the UN as a serious ecological challenge and a major threat to sustainable food supplies. Emerging trends within governing bodies point towards digital solutions by deploying ...

    • Synthesizing a Talking Child Avatar to Train Interviewers Working with Maltreated Children 

      Salehi, Pegah; Hassan, Syed Zohaib; Lammerse, Myrthe; Shafiee Sabet, Saeed; Riiser, Ingvild; Røed, Ragnhild Klingenberg; Sinkerud Johnson, Miriam; Hicks, Steven; Thambawita, Vajira; Powell, Martine; Lamb, Michael E.; Baugerud, Gunn Astrid; Halvorsen, Pål; Riegler, Michael (Big Data and Cognitive Computing;Volume 6 / Issue 2, Peer reviewed; Journal article, 2022-06-01)
      When responding to allegations of child sexual, physical, and psychological abuse, Child Protection Service (CPS) workers and police personnel need to elicit detailed and accurate accounts of the abuse to assist in ...

    • Using an AI-based avatar for interviewer training at Children’s Advocacy Centers: Proof of Concept 

      Baugerud, Gunn Astrid; Johnson, Miriam S.; Dianiska, Rachel; Røed, Ragnhild Klingenberg; Powell, Martine B.; Lamb, Michael E.; Hassan, Syed Zohaib; Sabet, Saeed; Hicks, Steven Alexander; Salehi, Pegah; Riegler, Michael Alexander; Halvorsen, Pål; Quas, Jodi (Peer reviewed; Journal article, 2024)
      This proof-of- concept study focused on interviewers’ behaviors and perceptions when interacting with a dynamic AI child avatar alleging abuse. Professionals (N = 68) took part in a virtual reality (VR) study in which they ...

    • Validating polyp and instrument segmentation methods in colonoscopy through Medico 2020 and MedAI 2021 Challenges 

      Jha, Debesh; Sharma, Vanshali; Banik, Debapriya; Bhattacharya, Debayan; Roy, Kaushiki; Hicks, Steven; Tomar, Nikhil Kumar; Thambawita, Vajira L B; Krenzer, Adrian; Ji, Ge-Peng; Poudel, Sahadev; Batchkala, George; Alam, Saruar; Ahmed, Awadelrahman M.A.; Trinh, Quoc-Huy; Khan, Zeshan; Nguyen, Tien-Phat; Shrestha, Shruti; Nathan, Sabari; Gwak, Jeonghwan Gwak; Jha, Ritika Kumari; Zhang, Zheyuan; Schlaefer, Alexander; Bhattacharjee, Debotosh; Bhuyan, M.K.; Das, Pradip K.; Fan, Deng-Ping; Parasa, Sravanthi; Ali, Sharib; Riegler, Michael Alexander; Halvorsen, Pål; de Lange, Thomas; Bagci, Ulas (Peer reviewed; Journal article, 2024)
      Automatic analysis of colonoscopy images has been an active field of research motivated by the importance of early detection of precancerous polyps. However, detecting polyps during the live examination can be challenging ...