GK

dr. sc. Goran Klepac, izv. prof.

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izvorni znanstveni rad 38

  1. Goran Klepac Energy Optimization Model Based on REFII Model, Bayesian Networks and PSO Algorithm — New Technologies, Development and Application VIII: Volume 2, str. str. 369-378, 2025. doi:10.1007/978-981-96-8998-9_30
  2. Goran Klepac Klepac, G., Bhattacharyya, S., Platos, J. (2025). Hybrid Approach in Predictive Model Development with Proposal of Attribute Relevance Analysis for Rare and Disruptive Events. In: Bhattacharyya, S., Banerjee, J.S., Köppen, M., Nayak, S., Platos, J. (eds — Human-Centric Smart Computing: Proceedings of ICHCSC 2024, str. str. 529-540, 2025. doi:10.1007/978-981-96-3420-0
  3. Goran Klepac Solution for Error and Attenuation Detection in Network Services Based on Time Series Decomposition Model: Pattern Mining Based on Time Series Decomposition via REFII Model and Data Science Methods Usage — AI-Driven Smart Industrial Technologies, str. str. 211-242, 2025. doi:10.4018/979-8-3693-7994-3.ch009
  4. Goran Klepac Consumer portfolio management with usage of evolutionary approach by PSO algorithm and machine learning models — Recent Trends in Swarm Intelligence Enabled Research for Engineering Applications, str. str. 187-211, 2024. doi:10.1016/b978-0-443-15533-8.00010-2
  5. Goran Klepac Time Series Error Detection Solution based on REFII Model and Concept of Nontemporal Expansion — CEUR Workshop Proceedings (CEUR-WS.org), str. str. 1-9, 2024.
  6. Goran Klepac Advanced Portfolio Management in Big Data Environments With Machine Learning and Advanced Analytical Techniques — Handbook of Research on New Investigations in Artificial Life, AI, and Machine Learning, str. str. 178-192, 2022. doi:10.4018/978-1-7998-8686-0_16
  7. Goran Klepac Bayesian Networks and Evolutionary Algorithms as a Tool for Portfolio Simulation and Optimization — Metaheuristic Approaches to Portfolio Optimization, str. str. 60-81, 2019. doi:10.4018/978-1-5225-8103-1.ch003
  8. Goran Klepac Early Warning System Framework Proposal, Based on Big Data Environment — International journal of artificial intelligence and machine learning, 9(1), str. str. 35-66, 2019.
  9. Goran Klepac Cognitive Data Science Automatic Fraud Detection Solution, Based on Benford’S Law, Fuzzy Logic with Elements of Machine Learning — Cognitive Computing for Big Data Systems Over IoT, str. str. 79-95, 2018. doi:10.1007/978-3-319-70688-7_4
  10. Goran Klepac A New Paradigm in Fraud Detection Modeling Using Predictive Models, Fuzzy Expert Systems, Social Network Analysis, and Unstructured Data — Computational Intelligence Applications in Business Intelligence and Big Data Analytics, str. str. 141-179, 2017.
  11. Goran Klepac Analyzing Slavic Textual Sentiment Using Deep Convolutional Neural Networks — Intelligent Decision Support Systems for Sustainable Computing, str. str. 207-224, 2017.
  12. Goran Klepac Customer Profiling in Complex Analytical Environments Using Swarm Intelligence Algorithms — Nature-Inspired Computing: Concepts, Methodologies, Tools, and Applications (3 Volumes), str. str. 1391-1422, 2017.
  13. Goran Klepac Early Warning System Framework Proposal Based on Structured Analytical Techniques, SNA, and Fuzzy Expert System for Different Industries — Fuzzy Systems: Concepts, Methodologies, Tools, and Applications (3 Volumes), str. str. 202-234, 2017.
  14. Goran Klepac Integration of Different Analytical Concepts on Multimedia Contents in Service of Intelligent Knowledge Extraction — Artificial Intelligence: Concepts, Methodologies, Tools, and Applications (4 Volumes), str. str. 2493-2522, 2017.
  15. Goran Klepac Integration of Different Analytical Concepts on Multimedia Contents in Service of Intelligent Knowledge Extraction — Intelligent Analysis of Multimedia Information, str. str. 401-430, 2017.
  16. Goran Klepac Natural Language Processing as Feature Extraction Method for Building Better Predictive Models — Artificial Intelligence: Concepts, Methodologies, Tools, and Applications (4 Volumes), str. str. 1913-1937, 2017.
  17. Goran Klepac Particle Swarm Optimization Algorithm as a Tool for Profiling from Predictive Data Mining Models — Nature-Inspired Computing: Concepts, Methodologies, Tools, and Applications (3 Volumes), str. str. 864-892, 2017.
  18. Goran Klepac Social Network Metrics Integration into Fuzzy Expert System and Bayesian Network for Better Data Science Solution Performance — Hybrid Intelligence for Social Networks, str. str. 25-45, 2017. doi:10.1007/978-3-319-65139-2_2
  19. Goran Klepac Customer Profiling in Complex Analytical Environments Using Swarm Intelligence Algorithms — International journal of swarm intelligence research, 7(3), str. str. 43-70, 2016. doi:10.4018/IJSIR.201607010
  20. Goran Klepac Data Mining Models as a Tool for Churn Reduction and Custom Product Development in Telecommunication Industries — Business Intelligence: Concepts, Methodologies, Tools, and Applications (4 Volumes), str. str. 430-457, 2016.
  21. Goran Klepac Discovering Behavioural Patterns within Customer Population by using Temporal Data Subsets — Handbook of Research on Advanced Hybrid Intelligent Techniques and Applications, str. str. 216-252, 2016.
  22. Goran Klepac Efficient Risk Profiling Using Bayesian Networks and Particle Swarm Optimization Algorithm — Analyzing Risk through Probabilistic Modeling in Operations Research, str. str. 91-124, 2016.
  23. Goran Klepac Efficient Risk Profiling Using Bayesian Networks and Particle Swarm Optimization Algorithm — Psychology and Mental Health: Concepts, Methodologies, Tools, and Applications (3 Volumes), str. str. 1580-1612, 2016.
  24. Goran Klepac REFII Model as a Base for Data Mining Techniques Hybridization with Purpose of Time Series Pattern Recognition — Hybrid Soft Computing Approaches, str. str. 237-270, 2016.
  25. Goran Klepac Schrodinger equation as an inspiration for client portfolio simulation hybrid system based on dynamic Bayesian networks and REFII model — Quantum Inspired Computational Intelligence, str. str. 380-421, 2016.
  26. Goran Klepac Credit Risk Early Warning System using Fuzzy Expert Systems — Journal of information and organizational sciences, 17-19, str. str. 250-344, 2015.
  27. Goran Klepac Data Mining Models as a Tool for Churn Reduction and Custom Product Development in Telecommunication Industries — Research Methods: Concepts, Methodologies, Tools, and Applications (4 Volumes), str. str. 559-585, 2015.
  28. Goran Klepac Early Warning System Framework Proposal Based on Structured Analytical Techniques, SNA, and Fuzzy Expert System for Different Industries — Handbook of Research on Artificial Intelligence Techniques and Algorithms (2 Volumes), str. str. 763-796, 2015.
  29. Goran Klepac Natural Language Processing as Feature Extraction Method for Building Better Predictive Models — Modern Computational Models of Semantic Discovery in Natural Language, str. str. 141-166, 2015.
  30. Goran Klepac Particle Swarm Optimization Algorithm as a Tool for Profile Optimization — International journal of natural computing research, 5(4), str. str. 1-23, 2015. doi:10.4018/IJNCR.2015100101
  31. Goran Klepac Particle Swarm Optimization Algorithm as a Tool for Profiling from Predictive Data Mining Models — Handbook of Research on Swarm Intelligence in Engineering, str. str. 406-434, 2015.
  32. Goran Klepac Proposal of Analytical Model for Business Problems Solving in Big Data Environment — Strategic Data-Based Wisdom in the Big Data Era, str. str. 209-228, 2015.
  33. Goran Klepac Risk Evaluation in the Insurance Company Using REFII Model — Transportation Systems and Engineering: Concepts, Methodologies, Tools, and Applications (3 Volumes), str. str. 748-768, 2015.
  34. Goran Klepac Data Mining Models as a Tool for Churn Reduction and Custom Product Development in Telecommunication Industries — Handbook of Research on Novel Soft Computing Intelligent Algorithms: Theory and Practical Applications (2 Volumes), str. str. 511-537, 2013.
  35. Goran Klepac Preparing for New Competition in the Retail Industry — Handbook of Research on Data Mining in Public and Private Sectors: Organizational and Government Applications, str. str. 261-288, 2010.
  36. Goran Klepac Integrating Seasonal Oscillations into Basel II Behavioural Scoring Models — Credit Scoring - Concepts, Perspectives and Models, str. str. 80-100, 2008.
  37. Goran Klepac Time series analysis using a unique model of transformation — Journal of information and organizational sciences, 31, str. str. 1-13, 2007.
  38. Goran Klepac Uključivanje sezonskih utjecaja u bodovanje kredita Basel II — Financijska teorija i praksa, 31, str. str. 277-288, 2007.

monografija (znanstvena) 8

  1. Goran Klepac De Gruyter Frontiers in Computational Intelligence — 2022.
  2. Goran Klepac Metaheuristic Approaches to Portfolio Optimization — 2019. doi:10.4018/978-1-5225-8103-1
  3. Goran Klepac Intelligent Analysis of Multimedia Information — 2017.
  4. Goran Klepac Hybrid Soft Computing for Image Segmentation — 2016.
  5. Goran Klepac Developing Churn Models Using Data Mining Techniques and Social Network Analysis — 2014.
  6. Goran Klepac KOMPETITIVNA ANALIZA – poslovne i ekspertne kvantitativne analitičke tehnike — 2011.
  7. Goran Klepac Poslovna inteligencija kroz poslovne slučajeve — 2006.
  8. Goran Klepac Poslovna inteligencija — 2003.

ostalo 9

  1. Goran Klepac Proposal of Analytical Model for Business Problems Solving in Big Data Environment — Web Services: Concepts, Methodologies, Tools, and Applications (4 Volumes), str. str. 618-638, 2019. doi:10.4018/978-1-5225-7501-6.ch034
  2. Goran Klepac Finding Optimal Input Values for Desired Target Output by Using Particle Swarm Optimization Algorithm Within Probabilistic Models — Incorporating Nature-Inspired Paradigms in Computational Applications, str. str. 76-107, 2018. doi:10.4018/978-1-5225-5020-4.ch003
  3. Goran Klepac Foreword : Handbook of Research on Holistic Optimization Techniques in the Hospitality, Tourism, and Travel Industry — Foreword : Handbook of Research on Holistic Optimization Techniques in the Hospitality, Tourism, and Travel Industry, 2016.
  4. Goran Klepac Foreword: Handbook of Research on Modern Optimization Algorithms and Applications in Engineering and Economics — Foreword: Handbook of Research on Modern Optimization Algorithms and Applications in Engineering and Economics, 2016.
  5. Goran Klepac Hybrid Soft Computing for Image Segmentation — 2016.
  6. Goran Klepac Poglavlje u knjizi — ANALIZA (SOCIJALNIH) MREŽA: praktična primjena, str. str. 156-187, 2016.
  7. Goran Klepac REFII Model and Fuzzy Logic as a Tool for Image Classification Based on Image Example — Hybrid Soft Computing for Image Segmentation, str. str. 87-108, 2016.
  8. Goran Klepac Risk Evaluation in the Insurance Company Using REFII Model — Intelligent Techniques in Recommendation Systems: Contextual Advancements and New Methods, str. str. 84-104, 2013.
  9. Goran Klepac Poslovna inteligencija kroz poslovne slučajeve — 2006.

ostali članci/prilozi 1

  1. Goran Klepac Handbook of Research on Emergent Applications of Optimization Algorithms — Handbook of Research on Emergent Applications of Optimization Algorithms, 2017.

sažetak izlaganja sa skupa 4

  1. Goran Klepac Transferability of selected supramolecular synthons from organic to metalorganic systems — 3rd European Crystallography School, Book of Abstracts, str. str. 31-31, 2016.
  2. Goran Klepac Using Behavioral Statistical Scorecards in Portfolio Management and Business Planning — APPLIED STATISTICS, str. str. 65-65, 2007.
  3. Goran Klepac Temporal pattern discovery in consumer behavior with REFII model. Paper presented at the Consumer Personality and Research 2005 Conference, Dubrovnik, Croatia (Abstract available online: http://abstracts.cpr2005.info — Temporal pattern discovery in consumer behavior with REFII model. Paper presented at the Consumer Personality and Research 2005 Conference, Dubrovnik, Croatia (Abstract available online: http://abstracts.cpr2005.info, 2005.
  4. Goran Klepac Goran Klepac (2002.): REFII model-Model for recognition patterns in time series, 20th International conference METHODOLOGY AND STATISTIC, University of Ljubljana, Faculty of social sciences, centre of metodology and in informatics, Ljubljana, September 1 — oran Klepac (2002.): REFII model-Model for recognition patterns in time series, 20th International conference METHODOLOGY AND STATISTIC, University of Ljubljana, Faculty of social sciences, centre of metodology and in informatics, Ljubljana, September 15.-18., 2002 ; Program and astracts, str 53.-55., str. str. 53-55, 2002.

diplomski rad (sveučilišni) 1

  1. Goran Klepac Poboljšanje dijagnostike prekida pretplatničkog odnosa pomoću dubinske analize internetskog sadržaja — 2015.

priručnik 2

  1. Goran Klepac Sustavi potpore odlučivanju — 2011.
  2. Goran Klepac Primjena inteligentnih računalnih metoda u managementu — 2001.

stručni rad 2

  1. Goran Klepac Sustavi ranog upozorenja temeljeni na metodama poslovne inteligencije — IV. međunarodna konferencija "Dani kriznog upravljanja" : zbornik sažetaka = 4th International Conference "Crisis Management Days" : book of abstracts, str. str. 567-582, 2011.
  2. Goran Klepac Model osjetljivosti portfelja za analizu kreditnog rizika uzrokovanog strukturnim i makroekonomskim promjenama — Financijska teorija i praksa, 32, str. str. 463-479, 2008.

rječnik 1

  1. Goran Klepac Englesko-hrvatski informatički enciklopedijski rječnik — 2005.

doktorski rad 1

  1. Goran Klepac Otkrivanje zakonitosti temeljem jedinstvenoga modela transformacije vremenske serije — 2005.

Aktivnosti

Znanstveni rad
Stručni projekti s industrijom
Mentorstvo studenata
Međunarodna suradnja