2011 • 2012 • 2013 • 2014 • 2018 • 2019 • 2020 • 2021 • 2022 • 2023 • 2024 • 2025 • 2026
This repository contains a compilation of conference presentations featuring papers I authored or co-authored. It undergoes regular updates.
Hliš, T., Fister, I., Mlakar, U., Fister I., Jr. Timestamp interestingness measure for time series numerical association rule mining. IEEE 24th World Symposium on Applied Machine Intelligence and Informatics (SAMI 2026). [Paper]
Hliš, T., Fister, I., Rek, P., Fister I., Jr. Time-aware analysis of overlapping cycling segments from activity tracker data. IEEE 23rd Jubilee International Symposium on Intelligent Systems and Informatics (SISY 2025). [Paper]
Hliš, T., Fister, I., Fister I., Jr. Path overlap detection and property graph construction from TCX data for advanced analysis. IEEE 23rd World Symposium on Applied Machine Intelligence and Informatics (SAMI 2025). [Paper]
Novak, D., Verber. D, Fister, I., Fister I., Jr. Analiza vplivov kodirnikov na doseženo okrepitveno nagrado hibridnega algoritma NARM-XCS. Proceedings of the 33nd International Electrotechnical and Computer Science Conference ERK 2024, pp. 393-396. 2024.
Fister, I., Novak, D., Podgorelec, V., Fister Jr., I. Incorporating a green component into the design and development of evolutionary algorithms. In WIVACE 2024, XVIII International Workshop on Artificial Life and Evolutionary Computation, Namur, Belgium, 11-13 September 2024.
Novak, D., Verber, D., Fister, I., Fister I., Jr. Association Rule Mining as Knowledge Infusion into the Mechanics of an eXtended Classifier System. In IEEE 28th International Conference on Intelligent Engineering Systems 2024 (INES 2024). 2024.
Fister, I., Iglesias, A., Galvez, A., Podgorelec, V., & Fister Jr., I. (2024). 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.
Fister Jr., I., Fister, D., Podgorelec, V., Fister, I. (2024). Profiling the carbon footprint of performance bugs. In 2024 International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA) (pp. 1-7). IEEE.
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. [Paper]
Fister Jr, I., Fister, I., Galvez, A., & Iglesias, A. (2023). 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. [Paper]
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. [Paper]
Novak, D., Verber, D., Fister, I. Jr. Time analysis of Machine Learning Algorithm utilization in complex Game Environments. In: SQAMIA 2022, 13 pages, 2022. [Paper]
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. [Paper]
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. [Paper]
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. [Paper]
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. [Paper]
Fister Jr., I., Lukač, L., Rajšp, A., Fister, I. Pečnik, L., Fister, D. A minimalistic toolbox for extracting features from sport activity files. In: IEEE International Conference on Intelligent Engineering Systems (INES). pp. 121-126. 2021.
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. [Paper]
Brezočnik, L., Fister, I., Podgorelec, V. (2020). Nature-Inspired Cryptoanalysis Methods for Breaking Vigenère Cipher. In: Karabegović, I. (eds) New Technologies, Development and Application III. NT 2020. Lecture Notes in Networks and Systems, vol 128. Springer, Cham. [Paper]
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. [Paper]
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. [Paper]
Brezočnik, L., Fister, I., Podgorelec, V. (2018). Scrum Task Allocation Based on Particle Swarm Optimization. In: Korošec, P., Melab, N., Talbi, EG. (eds) Bioinspired Optimization Methods and Their Applications. BIOMA 2018. Lecture Notes in Computer Science(), vol 10835. Springer, Cham. [Paper]
Fister Jr, I., Fister, D., Mlakar, U., Ljubič, K., Brest, J., & Fister, I. (2014). Netopirji, kresnice in kukavice pri obdelavi slik. ROSUS 2014. [Paper]
Fister Jr, I., Fister, D., & Fister, I. (2013). Differential evolution strategies with random forest regression in the bat algorithm. In Proceedings of the 15th annual conference companion on Genetic and evolutionary computation (pp. 1703-1706). [Paper]
Fister Jr., I., Fister, I., & Brest, J. (2013). Comparing various regression methods on ensemble strategies in differential evolution. In Mendel 2013 (pp. 87-92). [Paper]
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. [Paper]
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. [Paper]
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). [Paper]
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