Tilen Hliš, Iztok Fister, Iztok Fister Jr. Path Overlap Detection and Property Graph Construction from TCX Data for Advanced Analysis. In. 23rd World Symposium on Applied Machine Intelligence and Informatics (SAMI). IEEE, 2025.
Vili Podgorelec, Iztok Fister Jr., Grega Vrbančič. Towards Green AI by Reducing Training Effort of Recurrent Neural Networks Using Hyper-Parameter Optimization with Dynamic Stopping Criteria. In. 22nd Jubilee International Symposium on Intelligent Systems and Informatics (SISY). IEEE, 2024.
Alen Rajšp, Iztok Fister Jr. Property Graph Framework for Geographical Routes in Sports Training. Information 16.1 (2025): 30.
Iztok Fister Jr., Laurenz A. Farthofer, Luka Pečnik, Iztok Fister, Andreas Holzinger. NiaAML: AutoML for classification and regression pipelines. SoftwareX, 29, 101974, 2025.
Tilen Hliš, Iztok Fister, Iztok Fister Jr. Digital twins in sport: Concepts, taxonomies, challenges and practical potentials. Expert Systems with Applications 258 (2024): 125104.
Andreas Holzinger, Iztok Fister Jr., Iztok Fister, Hans-Peter Kaul, Senthold Asseng. Human-Centered AI in smart farming: Towards Agriculture 5.0. IEEE Access, 2024.
Damijan Novak, Domen Verber, Iztok Fister, Iztok Fister Jr. Association Rule Mining as Knowledge Infusion into the Mechanics of an eXtended Classifier System. In 28th International Conference on Intelligent Engineering Systems (INES) (pp. 203-208). IEEE, 2024.
Iztok Fister, Andres Iglesias, Akemi Galvez, Vili Podgorelec, Iztok Fister Jr. Contribution of low support association rules in understanding the mined knowledge. In 2024 International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA) (pp. 1-6). IEEE, 2024.
Iztok Fister Jr., Dušan Fister, Vili Podgorelec, Iztok Fister. Profiling the carbon footprint of performance bugs. In 2024 International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA) (pp. 1-7). IEEE, 2024.
Leon Kopitar, Iztok Fister Jr., Gregor Štiglic. Using Generative AI to Improve the Performance and Interpretability of Rule-Based Diagnosis of Type 2 Diabetes Mellitus. Information, 15(3), 162, 2024.
Minakshi Kaushik, Rahul Sharma, Pilleriin Kõiva, Iztok Fister Jr., Dirk Draheim. An Exhaustive Multi-Aspect Analysis of Swarm Intelligence Algorithms in Numerical Association Rule Mining. IEEE Access, 2024.
Damijan Novak, Domen Verber, Iztok Fister, Iztok Fister Jr. Analiza vplivov kodirnikov na doseženo okrepitveno nagrado hibridnega algoritma NARM-XCS. In ERK 2024 (pp. 393-396), 2024.
Akemi Galvez, Iztok Fister, Suash Deb, Iztok Fister Jr., Andres Iglesias. Cuckoo Search Algorithm with Levy Flights for Reconstruction of Periodic and Chaotic Orbits of the 2D Henon Map. In Proceedings of the 2024 8th International Conference on Intelligent Systems, Metaheuristics & Swarm Intelligence (pp. 9-13), 2024.
Iztok Fister Jr., Dušan Fister, Iztok Fister, Vili Podgorelec, Sancho Salcedo-Sanz. Time series numerical association rule mining variants in smart agriculture. Journal of Ambient Intelligence and Humanized Computing (2023): 1-14.
Alen Rajšp, Iztok Fister Jr. Neo4j graph dataset of cycling paths in Slovenia. Data in Brief 48, 2023.
Iztok Fister Jr., Iztok Fister. Towards replicated algorithms. arXiv preprint arXiv:2304.13524, 2023.
Iztok Fister, Andres Iglesias, Akemi Galvez, Iztok Fister Jr. Online numerical association rule miner. Neurocomputing 523 (2023): 33-43.
Iztok Fister Jr, Iztok Fister, Dušan Fister, Vili Podgorelec, Sancho Salcedo-Sanz. A comprehensive review of visualization methods for association rule mining: Taxonomy, Challenges, Open problems and Future ideas. Expert Systems with Applications. Volume 233, 15 December 2023.
Iztok Fister Jr., Iztok Fister, Akemi Galvez, Andres Iglesias. TinyNARM: Simplifying Numerical Association Rule Mining for Running on Microcontrollers. In International Conference on Soft Computing Models in Industrial and Environmental Applications (pp. 122-131). Cham: Springer Nature Switzerland, 2023
Sašo Pavlič, Sašo Karakatič, Iztok Fister Jr. NiaNetAD: Autoencoder architecture search for tabular anomaly detection powered by HPC. In 2023 IEEE 23rd International Symposium on Computational Intelligence and Informatics (CINTI) (pp. 000083-000088). IEEE, 2023.
Uroš Mlakar, Iztok Fister Jr., Iztok Fister. Variable-length Differential Evolution for Numerical and Discrete Association Rule Mining. IEEE Access, 2023.
Akemi Galvez, Iztok Fister Jr., Lihua You, Iztok Fister, Andres Iglesias. Artificial Immune Systems Approach for Surface Reconstruction of Shapes with Large Smooth Bumps. In International Conference on Computational Science (pp. 297-310), 2023.
Akemi Galvez, Iztok Fister, Suash Deb, Iztok Fister Jr., Andres Iglesias. Cuckoo Search Algorithm with Lévy Flights for Surface Reconstruction from Point Clouds with Applications to Reverse Engineering. In Proceedings of the 7th International Conference on Intelligent Systems, Metaheuristics & Swarm Intelligence (pp. 95-102), 2023.
Renata Kramberger, Iztok Fister, Iztok Fister Jr., Aida Kamišalić. Toward Anomaly Detection in the Blockchain Using Numerical Association Rule Mining. In 2023 IEEE 21st Jubilee International Symposium on Intelligent Systems and Informatics (SISY) (pp. 351-356). IEEE, 2023.
Damijan Novak, Iztok Fister Jr. Turn action extractions into game agent module decisions. Proceedings of the 32nd International Electrotechnical and Computer Science Conference ERK 2023, pp. 309-312. 2023.
Grega Vrbančič, Rok Kukovec, Iztok Fister, Vili Podgorelec, Sancho Salcedo-Sanz, Iztok Fister Jr. Profiling the Arion rufus snails with computer vision. 2022 IEEE 22nd International Symposium on Computational Intelligence and Informatics and 8th IEEE International Conference on Recent Achievements in Mechatronics, Automation, Computer Science and Robotics (CINTI-MACRo). IEEE, 2022.
Žiga Stupan, Iztok Fister Jr. NiaARM: A minimalistic framework for Numerical Association Rule Mining. Journal of Open Source Software 7.77 (2022): 4448.
Rahul Sharma, Minakshi Kaushik, Sijo Arakkal Peious, Alexandre Bazin, Syed Attique Shah, Iztok Fister Jr., Sadok Ben Yahia, Dirk Draheim. A novel framework for unification of association rule mining, online analytical processing and statistical reasoning. IEEE Access 10 (2022): 12792-12813.
Sašo Pavlič, Sašo Karakatič, Iztok Fister Jr. NiaNet: A framework for constructing Autoencoder architectures using nature-inspired algorithms. 2022 17th Conference on Computer Science and Intelligence Systems (FedCSIS). IEEE, 2022.
Damijan Novak, Domen Verber, Jani Dugonik, Iztok Fister Jr. Action-Based Digital Characterization of a Game Player. Mathematics 11.5 (2023): 1243.
Nina Tovornik, Iztok Fister Jr., Vili Podgorelec, Lucija Brezočnik. A Nature-Inspired Implementation of the Computer Opponent in the Arcade Computer Game of Darts. Elektrotehniski Vestnik 90.1/2 (2023): 45-50.
Tadej Lahovnik, Grega Vrbančič, Iztok Fister Jr., Vili Podgorelec. Uporaba programskega jezika Julia za namene podatkovne znanosti. In OTS 2023 Sodobne informacijske tehnologije in storitve: Zbornik 26. konference. Univerzitetna založba Univerze v Mariboru.
Iztok Fister Jr., Iztok Fister. On stochastic evolving algorithms. In: GECCO'22: proceedings of the Genetic and Evolutionary Computation Conference Companion, pp. 244-247, 2022.
Iztok Fister, Iztok Fister Jr., Damijan Novak, Domen Verber. Data squashing as preprocessing in association rule mining. In: Proceedings of the 2022 IEEE Symposium Series on Computational Intelligence (SSCI 2022), 6 pages, 2022;
Luka Lukač, Iztok Fister Jr., Iztok Fister. Digital Twin in Sport: From an Idea to Realization. Appl. Sci. 2022, 12, 12741.
Iztok Fister Jr., Iztok Fister, Sancho Salcedo-Sanz. Time Series Numerical Association Rule Mining for assisting Smart Agriculture. In: International Conference on Electrical, Computer and Energy Technologies (ICECET). IEEE, 2022.
Damijan Novak, Domen Verber, Iztok Fister Jr. Time analysis of Machine Learning Algorithm utilization in complex Game Environments. In: SQAMIA 2022, 13 pages, 2022.
Akemi Gálvez, Iztok Fister, Andres Iglesias, Iztok Fister Jr., Valentin Gómez-Jauregui, Cristina Manchado, Cesar Otero. IFS-Based Image Reconstruction of Binary Images with Functional Networks. Mathematics, 10, 1107, 2022.
Vili Podgorelec, Sašo Karakatič, Iztok Fister Jr., Lucija Brezočnik, Špela Pečnik, Grega Vrbančič. Digital Transformation Using Artificial Intelligence and Machine Learning: An Electrical Energy Consumption Case. In International Conference “New Technologies, Development and Applications” (pp. 498-504), 2022.
Iztok Fister, Dušan Fister, Iztok Fister Jr. Reinforcement learning-based differential evolution for global optimization. In Differential Evolution: From Theory to Practice (pp. 43-75), 2022.
Iztok Fister, Grega Vrbančič, Vili Podgorelec, Iztok Fister Jr. Synthetic Data Augmentation of Cycling Sport Training Datasets. In International Conference on Intelligent Computing & Optimization (pp. 65-74), 2022.
Grega Vrbančič, Iztok Fister Jr., Vili Podgorelec. Reševanje industrijskih problemov z uporabo računske inteligence: primer avtomatskega načrtovanja delovnega časa. In OTS 2022 Sodobne informacijske tehnologije in storitve: Zbornik petindvajsete konference, Maribor, 7. in 8. september 2022. Univerzitetna založba Univerze v Mariboru.
Vili Podgorelec, Sašo Karakatič, Grega Vrbančič, Špela Pečnik, Iztok Fister Jr., Lucija Brezočnik, Miro Rogina, Franci Klauzner. Vpeljava umetne inteligence in strojnega učenja v poslovni proces napovedovanja porabe električne energije. In OTS 2022 Sodobne informacijske tehnologije in storitve: Zbornik petindvajsete konference, Maribor, 7. in 8. september 2022. Univerzitetna založba Univerze v Mariboru.
Damijan Novak, Iztok Fister Jr. Adaptive online opponent game policy modeling with association rule mining. In: IEEE International Symposium on Computational Intelligence and Informatics (CINTI), pp. 259-265, 2021;
Iztok Fister Jr., Iztok Fister. Information cartography in association rule mining. IEEE transactions on emerging topics in computational intelligence, 2021.
Luka Pečnik, Iztok Fister, Iztok Fister Jr. NiaAML2: an improved AutoML using nature-inspired algorithms. In: Advances in swarm intelligence: 12th international conference, ICSI 2021. pp 243-252, 2021.
Luka Pečnik, Iztok Fister, Iztok Fister Jr. NiaClass: building rule-based classification models using nature-inspired algorithms. In: Advances in swarm intelligence: 12th international conference, ICSI 2021. pp 381-390, 2021.
Iztok Fister Jr., Iztok Fister, Andres Iglesias, Akemi Galvez. On detecting the novelties in metaphor-based algorithms. In: GECCO '21, Proceedings of the Genetic and Evolutionary Computation Conference Companion, 10 July - 14 July, 2021, Lille, France, pp. 71-72. 2021
Sašo Karakatič, Iztok Fister Jr., Dušan Fister. Dynamic genotype reduction for narrowing the feature selection search space. In. 20th IEEE International Symposium on Computational Intelligence and Informatics, pp 35-38, 2020.
Iztok Fister Jr., Luka Lukač, Alen Rajšp, Iztok Fister, Luka Pečnik, Dušan Fister. A minimalistic toolbox for extracting features from sport activity files. In: IEEE International Conference on Intelligent Engineering Systems (INES). pp. 121-126.
Damijan Novak, Iztok Fister Jr. Game feature validation of a real-time game space with an extended classifier system. In: IEEE 25th International Conference on Intelligent Engineering Systems (INES), pp. 95-101, 2021.
Akemi Gálvez, Andres Iglesias, Jose A. Díaz, Iztok Fister, Joaquin López, Iztok Fister Jr. Modified OFS-RDS bat algorithm for IFS encoding of bitmap fractal binary images. Advanced Engineering Informatics, 47, 101222, 2021.
Akemi Gálvez, Andres Iglesias, Iztok Fister, Iztok Fister Jr., Cesar Otero, Jose A. Díaz. NURBS functional network approach for automatic image segmentation of macroscopic medical images in melanoma detection. Journal of Computational Science, 56, 101481, 2021.
Rok Kukovec, Iztok Fister Jr., Špela Pečnik, Sašo Karakatič. Adversarial Image Perturbation with a Genetic Algorithm. In Proceedings of the 2021 7th Student Computer Science Research Conference (pp. 25-29), 2021.
Aida Kamišalić, Renata Kramberger, Iztok Fister Jr. Synergy of blockchain technology and data mining techniques for anomaly detection. Applied Sciences, 11(17), 7987, 2021.
Vid Kraner, Iztok Fister Jr., Lucija Brezočnik. Procedural content generation of custom tower defense game using genetic algorithms. In International Conference “New Technologies, Development and Applications” (pp. 493-503), 2021.
Iztok Fister Jr. The Relevance of Nature-Inspired Metaheuristic Algorithms in Smart Sport Training. In International Conference on Emerging Applications and Technologies for Industry 4.0 (EATI’2020) Emerging Applications and Technologies for Industry 4.0 (pp. 1-8), 2020.
Iztok Fister Jr., Vili Podgorelec, Iztok Fister. Improved nature-inspired algorithms for numeric association rule mining. In Intelligent Computing and Optimization: Proceedings of the 3rd International Conference on Intelligent Computing and Optimization 2020 (ICO 2020). pp. 187-195.