• 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 ...
    • 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 ...