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David Dukić

David Dukić
University of Zagreb · Department of Electronics, Microelectronics, Computer and Intelligent Systems (ZEMRIS)

MSc in Computing (Computer Science)
Working on my PhD

About

5
Publications
1,574
Reads
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14
Citations
Citations since 2017
5 Research Items
14 Citations
201720182019202020212022202302468
201720182019202020212022202302468
201720182019202020212022202302468
201720182019202020212022202302468
Introduction
I am a Research Assistant and a PhD student at University of Zagreb, Faculty of Electrical Engineering and Computing. My research interests are oriented towrads Data Science, Machine Learning, Statistics and Natural Language Processing. I am currently working on author profiling and event extraction problems at TakeLab FER.
Education
September 2016 - July 2019
University of Zagreb, Faculty of Electrical Engineering and Computing
Field of study
  • Computing (Computer Science)

Publications

Publications (5)
Article
Full-text available
The quality of a teaching method used in a classroom can be assessed by observing the facial expressions of students. To automate this, Facial Expression Recognition (FER) can be employed. Based on the recognized emotions of students, teachers can improve their lectures by determining which activities during the lecture evoke which emotions and how...
Conference Paper
Full-text available
As social media grows, more and more users are disseminating hate speech through their posts. This often comes as a consequence of feeling a false security and anonymity in virtual environment. To stop hate speech spreaders, researchers started developing machine learning systems that automatically detect spreaders of hate speech based on the conte...
Poster
Full-text available
Poster for Graduation Thesis "Profiling Hate Speech Spreaders on Social Networks Using Machine Learning Methods"
Thesis
Full-text available
As social media grows, more and more users are disseminating hate speech through their posts. The noticed phenomenon often comes as a consequence of feeling a false security and anonymity in a virtual environment. To stop hate speech spreaders, researchers started developing machine learning systems that automatically detect spreaders of hate speec...
Conference Paper
Full-text available
Dissemination of fake news on Twitter is a rapidly growing problem, mostly due to the increasing number of bots. Hence, automatic bot detection is becoming an important area of research. In this work, we present the BERT-based bot detection model along with exploratory data analysis of tweets written by bots and humans. We statistically prove that...

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