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  • E-mailsohail.khan@uib.no
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    Lars Hilles gate 30
    5008 Bergen
  • Postal Address
    Postboks 7802
    5020 Bergen
Academic article
  • Show author(s) (2023). Visual User-Generated Content Verification in Journalism: An Overview. IEEE Access. 6748-6769.
  • Show author(s) (2023). Deepfake Detection: Analyzing Model Generalization Across Architectures, Datasets, and Pre-Training Paradigms. IEEE Access. 1880-1908.
Academic lecture
  • Show author(s) (2023). Visual Content Verification: Observations from Faktisk Verfiserbar.
  • Show author(s) (2023). Visual Content Verification: Observations from Faktisk Verfiserbar.
  • Show author(s) (2023). Visual Content Verification in the Era of Deep Generative Models.
  • Show author(s) (2023). Tank Classifier.
  • Show author(s) (2023). State of the art in deep generative models.
  • Show author(s) (2023). Introduction to Transformer Models.
  • Show author(s) (2023). Image Generation using Stable Diffusion.
  • Show author(s) (2023). Deep Generative Image Models - Some Trends.
  • Show author(s) (2023). AI in the newsroom: A data quality assessment framework for employing machine learning in journalistic workflow.
  • Show author(s) (2022). Introduction to Deep Learning for Computer Vision.
Academic anthology/Conference proceedings
  • Show author(s) (2023). Grand Challenge On Detecting Cheapfakes. IEEE conference proceedings.
Academic chapter/article/Conference paper
  • Show author(s) (2023). Detecting Out-of-Context Image-Caption Pair in News: A Counter-Intuitive Method. 7 pages.
  • Show author(s) (2023). Automated Claim Detection for Fact-checking: A Case Study using Norwegian Pre-trained Language Models.
  • Show author(s) (2022). Hybrid Transformer Network for Deepfake Detection. 7 pages.
Poster
  • Show author(s) (2022). Multimedia Forensics Repository.

More information in national current research information system (CRIStin)

Video Transformer for Deepfake Detection with Incremental Learning

Analysing the impact of global demographic characteristics over the COVID-19 spread using class rule mining and pattern matching

Phishing attacks and websites classification using machine learning and multiple datasets (A comparative analysis)