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2020 – today
- 2023
[j9]Maja Rozman
, Dijana Oreski, Polona Tominc:
A Multidimensional Model of the New Work Environment in the Digital Age to Increase a Company's Performance and Competitiveness. IEEE Access 11: 26136-26151 (2023)- [j8]Polona Tominc, Dijana Oreski, Maja Rozman:
Artificial Intelligence and Agility-Based Model for Successful Project Implementation and Company Competitiveness. Inf. 14(6): 337 (2023) - [c16]Dijana Oreski, Emilija Kisic, Jovana Jovic, Miroslava Raspopovic Milic:
Student Modeling with Clustering: Comparative Analysis of Case Studies in Two Higher Educational Institutions from Different Countries. eLearning 2023: 45-54 - [c15]Goran Hajdin, Dijana Plantak Vukovac, Dijana Oreski:
What Do Students Think About Learning Supported by e-Schools Digital Educational Resources? HCI (30) 2023: 274-291 - [c14]Bruno Pilosta, Dijana Oreski, Nikola Kadoic:
Comparison of Artificial Neural Networks Algorithms on Datasets with Different Characteristics. IntelliSys (1) 2023: 371-385 - [c13]Dijana Oreski, Igor Pihir, Dunja Visnjic:
Comparative Analysis of Machine Learning Algorithms on Data Sets of Different Characteristics for Digital Transformation. MIPRO 2023: 1428-1433 - [c12]Irena Konecki, Dijana Oreski, Nikola Kadoic:
Clustering of Croatian Software Development Companies Based on Their Financial Indicators. MIPRO 2023: 1434-1439 - 2022
- [j7]Dijana Oreski:
Framework of Intelligent System for Machine Learning Algorithm Selection in Social Sciences. J. Softw. 17(1): 21-28 (2022) - [c11]Dijana Oreski:
Using descriptive and predictive learning analytics to understand student behavior at LMS Moodle. eLearning 2022: 14-21 - [c10]Dijana Oreski, Dunja Visnjic, Nikola Kadoic:
Discretization of numerical meta-features into categorical: analysis of educational and business data sets. MIPRO 2022: 1179-1184 - 2021
- [c9]Nikola Kadoic, Dijana Oreski:
Learning Analytics of YouTube Videos Linked to LMS Moodle. MIPRO 2021: 570-575 - [c8]Dijana Oreski, Igor Pihir, K. Cajzek:
Smart Agriculture and Digital Transformation on Case of Intelligent System for Wine Quality Prediction. MIPRO 2021: 1370-1375 - 2020
- [c7]Dijana Oreski, Darko Androcec:
Genetic algorithm and artificial neural network for network forensic analytics. MIPRO 2020: 1200-1205
2010 – 2019
- 2018
- [j6]Darko Androcec, Matija Novak, Dijana Oreski:
Using Semantic Web for Internet of Things Interoperability: A Systematic Review. Int. J. Semantic Web Inf. Syst. 14(4): 147-171 (2018) - [j5]Dijana Oreski, Nina Begicevic Redep:
Data-driven decision-making in classification algorithm selection. J. Decis. Syst. 27(Supp): 248-255 (2018) - [c6]Nikola Kadoic, Dijana Oreski:
Analysis of student behavior and success based on logs in Moodle. MIPRO 2018: 654-659 - 2017
- [j4]Dijana Oreski, Stjepan Oreski, Bozidar Klicek:
Effects of dataset characteristics on the performance of feature selection techniques. Appl. Soft Comput. 52: 109-119 (2017) - [c5]Dijana Oreski, Mario Konecki, Luka Milic:
Estimating profile of successful IT student: Data mining approach. MIPRO 2017: 723-727 - 2016
- [j3]Matija Novak, Dijana Oreski:
Fuzzy knowledge-based system for calculating course difficulty based on student perception. Comput. Appl. Eng. Educ. 24(2): 225-233 (2016) - [j2]Dijana Oreski, Mario Konecki:
Handling Sparse Data Sets by Applying Contrast Set Mining in Feature Selection. J. Softw. 11(2): 148-161 (2016) - [c4]Robert Kudelic, Dijana Oreski, Mario Konecki:
Monte-Carlo randomized algorithm: Empirical analysis on real-world information systems. MIPRO 2016: 1309-1312 - [c3]Jakov Andric, Dijana Oreski, Tonimir Kisasondi:
Analysis of phishing attacks against students. MIPRO 2016: 1423-1429 - 2014
- [b1]Dijana Oreski:
Evaluacija tehnika otkrivanja kontrasta za potrebe selekcije atributa radi klasifikacije ; Evaluation of contrast mining techniques for feature selection in classification. University of Zagreb, Croatia, 2014 - 2012
- [j1]Stjepan Oreski, Dijana Oreski, Goran Oreski:
Hybrid system with genetic algorithm and artificial neural networks and its application to retail credit risk assessment. Expert Syst. Appl. 39(16): 12605-12617 (2012)
2000 – 2009
- 2009
- [c2]Blazenka Divjak, Dijana Oreski:
Prediction of academic performance using discriminant analysis. ITI 2009: 225-230 - 2008
- [c1]Dijana Oreski, Petra Peharda:
Application of factor analysis in course evaluation. ITI 2008: 551-556
Coauthor Index
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