• An Applied Approach to Machine Learning for Hate Speech Management on Social Media Platforms 

      Aarrestad, Andreas; Shanmugam, Santhosh (Master thesis, 2023)
      Fremveksten av hatytringer på sosiale medier har ført til et økende behov for effektive automatiske systemer som kan identifisere og fatte tiltak mot hatefullt innhold. Selv om det er gjort betydelige fremskritt innen ...
    • An Applied Approach to Machine Learning for Hate Speech Management on Social Media Platforms 

      Aarrestad, Andreas; Shanmugam, Santhosh (Master thesis, 2023)
      Fremveksten av hatytringer på sosiale medier har ført til et økende behov for effektive automatiske systemer som kan identifisere og fatte tiltak mot hatefullt innhold. Selv om det er gjort betydelige fremskritt innen ...
    • Assessing the Usability of ChatGPT for Formal English Language Learning 

      Shaikh, Sarang; Yildirim-Yayilgan, Sule; Klimova, Blanka; Pikhart, Marcel (Journal article; Peer reviewed, 2023)
      Recently, the emerging technologies have been constantly shaping the education domain, especially the use of artificial intelligence (AI) for language learning, which has attracted significant attention. Many of the AI ...
    • Bloom’s Learning Outcomes’ Automatic Classification Using LSTM and Pretrained Word Embeddings 

      Shaikh, Sarang; Daudpotta, Sher Muhammad; Imran, Ali Shariq (Peer reviewed; Journal article, 2021)
      Bloom’s taxonomy is a popular model to classify educational learning objectives into different learning levels for three domains including cognitive, affective and psycho motor. Each domain is further detailed into different ...
    • COINS RESEARCH SUMMER SCHOOL 2021 (ONLINE-ZOOM) 

      Shaikh, Sarang (Research report, 2021)
      The COINS summer school is a one-week intensive course for Ph.D. students in computer and information security and in related fields. In 2021 the summer school is offered in cooperation with the UiA study centre in Metochi ...
    • The Dawn of the Human-Machine Era: A forecast of new and emerging language technologies 

      Sayers, Dave; Sousa-Silva, Rui; Höhn, Sviatlana; Ahmedi, Lule; Allkivi-Metsoja, Kais; Anastasiou, Dimitra; Beňuš, Štefan; Bowker, Lynne; Bytyçi, Eliot; Catala, Alejandro; Çepani, Anila; Chacón-Beltrán, Rubén; Dadi, Sami; Dalipi, Fisnik; Despotovic, Vladimir; Doczekalska, Agnieszka; Drude, Sebastian; Fort, Karën; Fuchs, Robert; Galinski, Christian; Gobbo, Federico; Gungor, Tunga; Guo, Siwen; Höckner, Klaus; Láncos, PetraLea; Libal, Tomer; Jantunen, Tommi; Jones, Dewi; Klimova, Blanka; Korkmaz, EminErkan; Maučec, Mirjam Sepesy; Melo, Miguel; Meunier, Fanny; Migge, Bettina; Mititelu, Verginica Barbu; Névéol, Aurélie; Rossi, Arianna; Pareja-Lora, Antonio; Sanchez-Stockhammer, C.; Şahin, Aysel; Soltan, Angela; Soria, Claudia; Shaikh, Sarang; Turchi, Marco; Yildirim Yayilgan, Sule; Bessa, Maximino; Cabral, Luciana; Coler, Matt; Liebeskind, Chaya; Kernerman, Ilan; Rousi, Rebekah; Prys, Cynog (Research report, 2021)
      New language technologies are coming, thanks to the huge and competing private investment fuelling rapid progress; we can either understand and foresee their effects, or be taken by surprise and spend our time trying to ...
    • Evaluating Polarity Trend Amidst the Coronavirus Crisis in Peoples’ Attitudes toward the Vaccination Drive 

      Batra, Rakhi; Imran, Ali Shariq; Kastrati, Zenun; Memon, Abdul Ghafoor; Daudpota, Sher Muhammad; Shaikh, Sarang (Peer reviewed; Journal article, 2021)
      t has been more than a year since the coronavirus (COVID-19) engulfed the whole world, disturbing the daily routine, bringing down the economies, and killing two million people across the globe at the time of writing. The ...
    • The impact of synthetic text generation for sentiment analysis using GAN based models 

      Imran, Ali Shariq; Yang, Ru; Kastrati, Zenun; Daudpota, Sher Muhammad; Shaikh, Sarang (Peer reviewed; Journal article, 2022)
      Data imbalance in datasets is a common issue where the number of instances in one or more categories far exceeds the others, so is the case with the educational domain. Collecting feedback on a course on a large scale and ...
    • Phishing and Social Engineering Attack Detection by Applying Intention Detection Methods 

      Baardsen, Aksel (Master thesis, 2022)
      Nå til dags brukes e-post og SMS daglig av nesten alle i verden. En trussel som følger denne trenden er phishing. Phishing og manipulasjonsangrep er blant de vanligste formene for nettangrep som oppleves nå til dags, siden ...
    • A Robust Framework for Object Detection in a Traffic Surveillance System 

      Akhtar, Malik Javed; Mahum, Rabbia; Butt, Faisal Shafique; Amin, Rashid; El-Sherbeeny, Ahmed M.; Lee, Seongkwan Mark; Shaikh, Sarang (Peer reviewed; Journal article, 2022)
      Object recognition is the technique of specifying the location of various objects in images or videos. There exist numerous algorithms for the recognition of objects such as R-CNN, Fast R-CNN, Faster R-CNN, HOG, R-FCN, ...
    • Role of Artificial Intelligence in Software Quality Assurance 

      Shaikh, Sarang; Ramchand, Sonam; Alam, Irtija (Peer reviewed; Journal article, 2021)
      Artificial intelligence has taken its place in almost every industry individual operate in, it has become integral part of applications and systems in our surrounding. The world quality report estimates that 64% of the ...
    • SCDet: A Robust Approach for the Detection of Skin Lesions 

      Shahbaz, Sikandar; Rabbia, Mahum; Adham E., Ragab; Yildirim-Yayilgan, Sule; Shaikh, Sarang (Journal article; Peer reviewed, 2023)
      Red, blue, white, pink, or black spots with irregular borders and small lesions on the skin are known as skin cancer that is categorized into two types: benign and malignant. Skin cancer can lead to death in advanced stages, ...
    • SentiUrdu-1M: A large-scale tweet dataset for Urdu text sentiment analysis using weakly supervised learning 

      Memon, Abdul Ghafoor; Imran, Ali Shariq; Daudpota, Sher Muhammad; Kastrati, Zenun; Shaikh, Sarang; Batra, Rakhi (Peer reviewed; Journal article, 2023)
      Low-resource languages are gaining much-needed attention with the advent of deep learning models and pre-trained word embedding. Though spoken by more than 230 million people worldwide, Urdu is one such low-resource language ...
    • A survey of artificial intelligence techniques for user perceptions’ extraction from social media data 

      Shaikh, Sarang; Yildirim Yayilgan, Sule; Zoto, Erjon; Abomhara, Mohamed (Peer reviewed; Journal article, 2022)
      Measuring and analyzing user perceptions and behaviors in order to make user-centric decisions has been a topic of research for a long time even before the invention of social media platforms. In the past, the main approaches ...
    • A Systematic Review on the Use of Emerging Technologies in Teaching English as an Applied Language at the University Level 

      Blanka, Klimova; Pikhart, Marcel; Polakova, Petra; Cerna, Miloslava; Yayilgan, Sule; Shaikh, Sarang (Peer reviewed; Journal article, 2023)
      At present, emerging technologies, such as machine learning, deep learning, or various forms of artificial intelligence are penetrating different fields of education, including foreign language education (FLE). Moreover, ...
    • A Systematic Review on the Use of Emerging Technologies in Teaching English as an Applied Language at the University Level 

      Klimova, Blanka; Pikhart, Marcel; Polakova, Petra; Miloslava, Černá; Yildirim-Yayilgan, Sule; Shaikh, Sarang (Peer reviewed; Journal article, 2023)
      At present, emerging technologies, such as machine learning, deep learning, or various forms of artificial intelligence are penetrating different fields of education, including foreign language education (FLE). Moreover, ...
    • Towards Improved Classification Accuracy on Highly Imbalanced Text Dataset Using Deep Neural Language Models 

      Shaikh, Sarang; Daudpota, Sher Muhammad; Imran, Ali Shariq; Kastrati, Zenun (Peer reviewed; Journal article, 2021)
      Data imbalance is a frequently occurring problem in classification tasks where the number of samples in one category exceeds the amount in others. Quite often, the minority class data is of great importance representing ...
    • Towards Understanding of User Perceptions for Smart Border Control Technologies using a Fine-Tuned Transformer Approach 

      Shaikh, Sarang; Yildirim Yayilgan, Sule; Abomhara, Mohamed; Zoto, Erjon (Peer reviewed; Journal article, 2022)
      Smart Border Control (SBC) technologies became a hot topic in recent years when the European Union (EU) Commission announced the Smart Borders Package to improve the efficiency and security of the border crossing points ...