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  1. The Computer Science Journal (ISSN: 1508-2806; e-ISSN: 2300-7036) is a quarterly published by the AGH University of Krakow Poland since 1999. We publish original papers concerning theoretical and applied computer science problems.

    • Archives

      Archives - Computer Science - journals.agh.edu.pl

    • About

      The Computer Science Journal is published by the AGH...

    • Submissions

      Moreover, the employing institution, science associations...

    • Editorial Team

      Editorial Team - Computer Science - journals.agh.edu.pl

    • Publication Ethics

      Publication Ethics - Computer Science - journals.agh.edu.pl

    • Contact

      Contact - Computer Science - journals.agh.edu.pl

  2. The Computer Science Journal is published by the AGH University, Krakow Poland. The Editors of the Journal are members of the Faculty of Computer Science, Electronics and Telecommunications and the Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering.

  3. 14 lut 2020 · In this paper, we empirically evaluate the combinations of different neural and non-neural encoders with first- and second-order decoders and provide a comprehensive analysis about the...

  4. 1 mar 2020 · In this paper, we describe the results of a thorough analysis of 44 K12 computer science curricula and standards documents conducted as part of an ongoing research project aiming at the ...

  5. While decoding involves the interpretation and comprehension of encoded messages, encoding refers to the conversion of information into a specific format for transmission. In this article, we will explore the attributes of decoding and encoding, highlighting their differences and similarities.

  6. The Computer Science Journal (ISSN: 1508-2806; e-ISSN: 2300-7036) is a quarterly published by the AGH University of Krakow Poland since 1999. We publish original papers concerning theoretical and applied computer science problems.

  7. In this article, we propose to adapt the communication theory concept of ‘decoding’ as a sensitizing device to probe how people come to know and understand algorithms, what they imagine algorithms to do, and their valorization of and responses to algorithmic work in daily media use.

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