Recent papers

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, 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

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.

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.

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.