Novak, D., Fister I., 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.
Fister Jr, I., Fister, I., Galvez, A., & Iglesias, A. (2023, August). 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.
Vrbančič, G., Podgorelec, V., Salcedo-Sanz, S., & Fister, I. (2022). Profiling the Arion rufus snails with computer vision. In 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) (pp. 000369-000374). IEEE.
Fister, I., Fister, I. Jr., Novak, D., Verber, D. Data squashing as preprocessing in association rule mining. 2022 IEEE Symposium Series on Computational Intelligence (SSCI). IEEE, 2022.
Novak, D., Fister, I. Jr. Game Feature Validation of a Real-Time Game Space with an eXtended Classifier System 2021 IEEE 25th International Conference on Intelligent Engineering Systems (INES). IEEE, 2021.
Novak, D., Fister, I. Jr. Adaptive online opponent game policy modeling with association rule mining. 2021 IEEE 21st International Symposium on Computational Intelligence and Informatics (CINTI). IEEE, 2021.
Fister Jr, I., Podgorelec, V., & Fister, I. (2021). 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). Springer International Publishing.
Fister, I Jr., Fister, I., Iglesias, A., Galvez, A., Deb, S., & Fister, D. (2021). On deploying the Artificial Sport Trainer into practice. In 2021 8th International Conference on Soft Computing & Machine Intelligence (ISCMI) (pp. 21-26). IEEE.
Fister Jr, I., Fister, D., Iglesias, A., Galvez, A., Osaba, E., Del Ser, J., & Fister, I. (2020). Visualization of Numerical Association Rules by Hill Slopes. In Intelligent Data Engineering and Automated Learning–IDEAL 2020: 21st International Conference, Guimaraes, Portugal, November 4–6, 2020, Proceedings, Part I 21 (pp. 101-111). Springer International Publishing.
Fister Jr., I. et al. "Population-based metaheuristics for planning interval training sessions in mountain biking." Advances in Swarm Intelligence: 10th International Conference, ICSI 2019, Chiang Mai, Thailand, July 26–30, 2019, Proceedings, Part I 10. Springer International Publishing, 2019.
Angus, D., and Fister Jr., I. "Tracking the exploration and exploitation in stochastic population-based nature-inspired algorithms using recurrence plots." Swarm, Evolutionary, and Memetic Computing and Fuzzy and Neural Computing: 7th International Conference, SEMCCO 2019, and 5th International Conference, FANCCO 2019, Maribor, Slovenia, July 10–12, 2019, Revised Selected Papers 7. Springer International Publishing, 2020.
Fister Jr, I., Fister, D., Mlakar, U., Ljubič, K., Brest, J., & Fister, I. (2014). Netopirji, kresnice in kukavice pri obdelavi slik. ROSUS 2014.
Fister Jr, I., Fister, I., & Brest, J. (2012, April). A hybrid artificial bee colony algorithm for graph 3-coloring. In International Symposium on Evolutionary Computation (pp. 66-74). Berlin, Heidelberg: Springer Berlin Heidelberg.
I. Fister Jr., X.-S. Yang, I. Fister, J. Brest, Memetic firefly algorithm for combinatorial optimization, in Bioinspired Optimization Methods and their Applications (BIOMA 2012), B. Filipic and J.Silc, Eds. Jozef Stefan Institute, Ljubljana, Slovenia, 2012
Fister I., Jr. et al. Odkrivanje vožnje v zavetrju na triatlonskih tekmovanjih: stvarnost ali iluzija. Zbornik dvajsete mednarodne Elektrotehniške in računalniške konference ERK 2011, 19.-21. september 2011, Portorož, Slovenija (Zv. B, str. 111-114).
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