Dijana Oreški

Dijana Oreški

Sveucilište u Zagrebu

H-index: 12

Europe-Croatia

About Dijana Oreški

Dijana Oreški, With an exceptional h-index of 12 and a recent h-index of 10 (since 2020), a distinguished researcher at Sveucilište u Zagrebu, specializes in the field of Machine learning. Artificial intelligence. Data science..

His recent articles reflect a diverse array of research interests and contributions to the field:

PRIMJENA STABLA ODLUKE NA PROBLEMU IZLASKA PODUZEĆA NA NOVA TRŽIŠTA

APPLICATION OF DECISION TREE TO THE PROBLEM OF COMPANY EXPANSION INTO NEW MARKETS

Statistically Significant Differences in AI Support Levels for Project Management between SMEs and Large Enterprises

Unlocking Automated Machine Learning Efficiency: Meta-Learning Dynamics in Social Sciences for Education and Business Data

Explaining and Predicting Students and Teachers Intentions to reuse Digital Educational Resources

Data understanding and preparation in business domain: Importance of meta-features characterization

Alphas of Low Code Development Project: BeeAPEX Case

STUDENTS'CLUSTERING BASED ON THE LMS ACTIVITY

Dijana Oreški Information

University

Position

Faculty of organization and informatics

Citations(all)

942

Citations(since 2020)

655

Cited By

495

hIndex(all)

12

hIndex(since 2020)

10

i10Index(all)

17

i10Index(since 2020)

12

Email

University Profile Page

Sveucilište u Zagrebu

Google Scholar

View Google Scholar Profile

Dijana Oreški Skills & Research Interests

Machine learning. Artificial intelligence. Data science.

Top articles of Dijana Oreški

Title

Journal

Author(s)

Publication Date

PRIMJENA STABLA ODLUKE NA PROBLEMU IZLASKA PODUZEĆA NA NOVA TRŽIŠTA

CroDiM: International Journal of Marketing Science

Toni Crljen

Nikola Kadoić

Dijana Oreški

2024/3/5

APPLICATION OF DECISION TREE TO THE PROBLEM OF COMPANY EXPANSION INTO NEW MARKETS

CroDiM: International Journal of Marketing Science

Toni Crljen

Nikola Kadoić

Dijana Oreški

2024/3/5

Statistically Significant Differences in AI Support Levels for Project Management between SMEs and Large Enterprises

AI

Polona Tominc

Dijana Oreški

Vesna Čančer

Maja Rožman

2024/1/5

Unlocking Automated Machine Learning Efficiency: Meta-Learning Dynamics in Social Sciences for Education and Business Data

TEM Journal

Dijana Oreški

Dunja Višnjić

Nikola Kadoić

2024

Explaining and Predicting Students and Teachers Intentions to reuse Digital Educational Resources

Journal of communications software and systems

Dijana Plantak Vukovac

Goran Hajdin

Dijana Oreški

2024/3/25

Data understanding and preparation in business domain: Importance of meta-features characterization

Dijana Oreski

Igor Pihir

2022

Alphas of Low Code Development Project: BeeAPEX Case

Robert Leskovar

Wieland Schwinger

Werner Retschitzegger

Alkiviadis Tsimpiris

Athanasis Angeioplastis

...

2023

STUDENTS'CLUSTERING BASED ON THE LMS ACTIVITY

D Oreski

M Gligora Markovic

N Kadoic

2023

Design thinking in digital transformation

Igor Pihir

Dijana Oreski

Ana Kutnjak

2023/5/18

Comparison of Artificial Neural Networks Algorithms on Datasets with Different Characteristics

Bruno Pilosta

Dijana Oreski

Nikola Kadoic

2023/9/7

Application of machine learning methods for data analytics in social sciences

WSEAS Trans Syst

DIJANA Oreski

2023

Prototyping as a Method in the Education of Software Developers and System Analysts

Vjeran Strahonja

Dijana Oreški

2023

Clustering of Croatian Software Development Companies Based on Their Financial Indicators

Irena Konecki

Dijana Oreški

Nikola Kadoić

2023/5/22

Comparison of Machine Learning Algorithms on Noisy Data

Dijana Oreški

Dunja Višnjić

Nikola Kadoić

2023/9

Toward Learning Analytics in a Distributed Learning Environment

Dijana Oreški

Vjeran Strahonja

Darko Andročec

2023

Comparative Analysis of Machine Learning Algorithms on Data Sets of Different Characteristics for Digital Transformation

Scientific Reports

Mate E. Maros

Chang Gyu Cho

Andreas G. Junge

Benedikt Kämpgen

Victor Saase

...

2021/3/9

Artificial Intelligence and Agility-Based Model for Successful Project Implementation and Company Competitiveness

Information

Polona Tominc

Dijana Oreški

Maja Rožman

2023/6/15

PREDICTIVE MODELING AND ANALYTICS OF EDUCATIONAL DATABASES

Dunja Višnjić

Maja Cerjan

Dijana Oreški

2023

A Multidimensional Model of the New Work Environment in the Digital Age to Increase a Company’s Performance and Competitiveness

IEEE access

Maja Rožman

Dijana Oreški

Polona Tominc

2023/3/14

What Do Students Think About Learning Supported by e-Schools Digital Educational Resources?

Goran Hajdin

Dijana Plantak Vukovac

Dijana Oreški

2023/6/9

See List of Professors in Dijana Oreški University(Sveucilište u Zagrebu)