doc.dr.sc. Ivona Zakarija

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doc.dr.sc. Ivona Zakarija

Zaposlenje:
aktivni radni odnos
Ustrojstvena jedinica:
Odjel za elektrotehniku i računarstvo
E-mail :
ivona.zakarija@unidu.hr
Telefon :
+385 20 445 742
Lokalni telefon :
2742
Ured (prostorija):
D13
Ćira Carića 4
Termin konzultacija:
Utorkom u 12 uz prethodnu najavu na e-mail
Životopis:
---

Preddiplomski

  • 238617 - Automatizacija uredskog poslovanja
  • 239437 - Automatizacija uredskog poslovanja

Diplomski

  • 41187 - Računalom podržano projektiranje
  • 53463 - Ekspertni sustavi u pomorstvu
  • 53464 - Projektiranje informacijskih sustava u pomorstvu
  • 78839 - Ekspertni sustavi u pomorstvu

Diplomski

  • 53463 - Ekspertni sustavi u pomorstvu
  • 67204 - Diplomski rad
  • 78839 - Ekspertni sustavi u pomorstvu
  • 129784 - Diplomski rad
Škopljanac-Mačina, Frano; Zakarija, Ivona; Blašković, Bruno
Towards automated assessment generation in e- learning systems using combinatorial testing and Formal Concept Analysis // IEEE Access, 9 (2021); 52957-52976
doi:10.1109/ACCESS.2021.3070510

Zakarija, Ivona; Škopljanac-Mačina, Frano; Blašković, Bruno
Automated simulation and verification of process models discovered by process mining. // Automatika : časopis za automatiku, mjerenje, elektroniku, računarstvo i komunikacije /, 61 (2020), 2; 312-324 doi:10.1080/00051144.2020.1734716

Škopljanac-Mačina, Frano; Blašković, Bruno; Zakarija, Ivona
Automated analysis of e-learning web applications. // MIPRO 2019, 42nd International Convention, Proceedings /, 2019. str. 957-962 doi:10.23919/mipro.2019.8756749

Blašković, Bruno; Škopljanac-Mačina, Frano; Zakarija, Ivona
Discovering e-Learning Process Models from Counterexamples. // Proceedings of the 41st International Convention on Information and Communication Technology, Electronics and Microelectronics MIPRO 2018/, 2018. str. 0593-0598 doi:10.23919/MIPRO.2018.8400112

Zakarija, Ivona; Škopljanac-Mačina, Frano; Blašković, Bruno
Discovering Process Model from Incomplete Log using Process Mining. // Proceedings of ELMAR-2015 57h International Symposium/,
2015. str. 117-120

Područja istraživanja:
process mining, deep learning, machine learning, model checking, formal methods
Objavljeni radovi:

ORCID
Google Scholar
CROSBI

doc.dr.sc. Ivona Zakarija

Employment Status:
active employee
Organizational unit:
Department of Engineering and Technology
E-mail :
ivona.zakarija@unidu.hr
Telephone :
+385 20 445 742
Telephone Extension :
2742
Office (room):
D13
Ćira Carića 4
Office hours:
Every Tuesday at 12
Biography/CV:
---
  • 41187 - Computer Aided Design
  • 53463 - Marine Expert Systems
  • 53464 - Marine Information Systems Design
  • 239437 -
  • 238617 -
  • 78839 - Marine Expert Systems
  • 67204 - Graduate Thesis
  • 53463 - Marine Expert Systems
  • 78839 - Marine Expert Systems
  • 129784 - Final Degree Thesis
Škopljanac-Mačina, Frano; Zakarija, Ivona; Blašković, Bruno
Towards automated assessment generation in e- learning systems using combinatorial testing and Formal Concept Analysis // IEEE Access, 9 (2021); 52957-52976
doi:10.1109/ACCESS.2021.3070510

Zakarija, Ivona; Škopljanac-Mačina, Frano; Blašković, Bruno
Automated simulation and verification of process models discovered by process mining. // Automatika : časopis za automatiku, mjerenje, elektroniku, računarstvo i komunikacije /, 61 (2020), 2; 312-324 doi:10.1080/00051144.2020.1734716

Škopljanac-Mačina, Frano; Blašković, Bruno; Zakarija, Ivona
Automated analysis of e-learning web applications. // MIPRO 2019, 42nd International Convention, Proceedings /, 2019. str. 957-962 doi:10.23919/mipro.2019.8756749

Blašković, Bruno; Škopljanac-Mačina, Frano; Zakarija, Ivona
Discovering e-Learning Process Models from Counterexamples. // Proceedings of the 41st International Convention on Information and Communication Technology, Electronics and Microelectronics MIPRO 2018/, 2018. str. 0593-0598 doi:10.23919/MIPRO.2018.8400112

Zakarija, Ivona; Škopljanac-Mačina, Frano; Blašković, Bruno
Discovering Process Model from Incomplete Log using Process Mining. // Proceedings of ELMAR-2015 57h International Symposium/,
2015. str. 117-120

Research interests:
process mining, deep learning, machine learning, model checking, formal methods
Published papers:

ORCID
Google Scholar
CROSBI

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