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Dusan Fister
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2020 – today
- 2024
- [j19]César Peláez-Rodríguez, Jorge Pérez-Aracil, Dusan Fister, Ricardo Torres-Lopez, Sancho Salcedo-Sanz:
Bike sharing and cable car demand forecasting using machine learning and deep learning multivariate time series approaches. Expert Syst. Appl. 238(Part E): 122264 (2024) - [j18]Timotej Jagric, Dusan Fister, Stefan Otto Grbenic, Aljaz Herman:
Private Firm Valuation Using Multiples: Can Artificial Intelligence Algorithms Learn Better Peer Groups? Inf. 15(6): 305 (2024) - [c13]Dusan Fister, César Peláez-Rodríguez, Laura Cornejo-Bueno, Jorge Pérez-Aracil, Sancho Salcedo-Sanz:
Autoencoder Framework for General Forecasting. IWINAC (2) 2024: 314-322 - [c12]César Peláez-Rodríguez, Laura Cornejo-Bueno, Dusan Fister, Jorge Pérez-Aracil, Sancho Salcedo-Sanz:
Prediction of Extreme Wave Heights via a Fuzzy-Based Cascade Ensemble Model. IWINAC (2) 2024: 323-332 - [i11]Iztok Fister Jr., Dusan Fister, Vili Podgorelec, Iztok Fister:
Profiling the carbon footprint of performance bugs. CoRR abs/2401.01782 (2024) - 2023
- [j17]Dusan Fister, Jorge Pérez-Aracil, César Peláez-Rodríguez, Javier Del Ser, Sancho Salcedo-Sanz:
Accurate long-term air temperature prediction with Machine Learning models and data reduction techniques. Appl. Soft Comput. 136: 110118 (2023) - [j16]Iztok Fister Jr., Iztok Fister, Dusan Fister, Vili Podgorelec, Sancho Salcedo-Sanz:
A comprehensive review of visualization methods for association rule mining: Taxonomy, challenges, open problems and future ideas. Expert Syst. Appl. 233: 120901 (2023) - [j15]Iztok Fister, Andrés Iglesias, Akemi Gálvez, Dusan Fister, Iztok Fister Jr.:
Design and implementation of parallel self-adaptive differential evolution for global optimization. Log. J. IGPL 31(4): 701-721 (2023) - [j14]César Peláez-Rodríguez, Jorge Pérez-Aracil, A. de Lopez-Diz, Carlos Casanova-Mateo, Dusan Fister, Silvia Jiménez-Fernández, Sancho Salcedo-Sanz:
Deep learning ensembles for accurate fog-related low-visibility events forecasting. Neurocomputing 549: 126435 (2023) - [j13]Dusan Fister, Iztok Fister Jr., Saso Karakatic:
DynFS: dynamic genotype cutting feature selection algorithm. J. Ambient Intell. Humaniz. Comput. 14(12): 16477-16490 (2023) - [j12]Iztok Fister Jr., Dusan Fister, Iztok Fister, Vili Podgorelec, Sancho Salcedo-Sanz:
Time series numerical association rule mining variants in smart agriculture. J. Ambient Intell. Humaniz. Comput. 14(12): 16853-16866 (2023) - [i10]Iztok Fister Jr., Iztok Fister, Dusan Fister, Vili Podgorelec, Sancho Salcedo-Sanz:
A comprehensive review of visualization methods for association rule mining: Taxonomy, Challenges, Open problems and Future ideas. CoRR abs/2302.12594 (2023) - 2022
- [i9]Sancho Salcedo-Sanz, Jorge Pérez-Aracil, Guido Ascenso, Javier Del Ser, David Casillas-Pérez, Christopher Kadow, Dusan Fister, David Barriopedro, Ricardo García-Herrera, Marcello Restelli, Matteo Giuliani, Andrea Castelletti:
Analysis, Characterization, Prediction and Attribution of Extreme Atmospheric Events with Machine Learning: a Review. CoRR abs/2207.07580 (2022) - [i8]Dusan Fister, Jorge Pérez-Aracil, César Peláez-Rodríguez, Javier Del Ser, Sancho Salcedo-Sanz:
Accurate Long-term Air Temperature Prediction with a Fusion of Artificial Intelligence and Data Reduction Techniques. CoRR abs/2209.15424 (2022) - [i7]Iztok Fister Jr., Dusan Fister, Iztok Fister, Vili Podgorelec, Sancho Salcedo-Sanz:
Time series numerical association rule mining variants in smart agriculture. CoRR abs/2212.03669 (2022) - 2021
- [j11]Dusan Fister, Matjaz Perc, Timotej Jagric:
Two robust long short-term memory frameworks for trading stocks. Appl. Intell. 51(10): 7177-7195 (2021) - [j10]Iztok Fister Jr., Dusan Fister, Iztok Fister:
Topology-based generation of sport training sessions. J. Ambient Intell. Humaniz. Comput. 12(1): 667-678 (2021) - [i6]Iztok Fister Jr., Iztok Fister, Andrés Iglesias, Akemi Gálvez, Suash Deb, Dusan Fister:
On deploying the Artificial Sport Trainer into practice. CoRR abs/2109.13334 (2021) - 2020
- [j9]Jakob Safaric, Primoz Bencak, Dusan Fister, Riko Safaric, Iztok Fister:
Use of stochastic nature-inspired population-based algorithms within an online adaptive controller for mechatronic devices. Appl. Soft Comput. 95: 106559 (2020) - [j8]Iztok Fister, Dusan Fister, Suash Deb, Uros Mlakar, Janez Brest, Iztok Fister Jr.:
Post hoc analysis of sport performance with differential evolution. Neural Comput. Appl. 32(15): 10799-10808 (2020) - [j7]Iztok Fister Jr., Andrés Iglesias, Suash Deb, Dusan Fister, Iztok Fister:
Development of a framework for modeling preference times in triathlon. Neural Comput. Appl. 32(15): 10833-10846 (2020) - [c11]Iztok Fister Jr., Iztok Fister, Dusan Fister, Grega Vrbancic, Vili Podgorelec:
On the Potential of the Nature-Inspired Algorithms for Pure Binary Classification. ICCS (5) 2020: 18-28 - [c10]Iztok Fister, Dusan Fister, Andrés Iglesias, Akemi Gálvez, Eneko Osaba, Javier Del Ser, Iztok Fister Jr.:
Visualization of Numerical Association Rules by Hill Slopes. IDEAL (1) 2020: 101-111 - [c9]Iztok Fister, Andrés Iglesias, Akemi Gálvez, Dusan Fister, Iztok Fister Jr.:
Parallel Differential Evolution with Variable Population Size for Global Optimization. SOCO 2020: 89-99
2010 – 2019
- 2019
- [c8]Dusan Fister, Iztok Fister, Timotej Jagric, Iztok Fister Jr., Janez Brest:
Wrapper-Based Feature Selection Using Self-adaptive Differential Evolution. SEMCCO/FANCCO 2019: 135-154 - [c7]Iztok Fister Jr., Dusan Fister, Andrés Iglesias, Akemi Gálvez, Samo Rauter, Iztok Fister:
Population-Based Metaheuristics for Planning Interval Training Sessions in Mountain Biking. ICSI (1) 2019: 70-79 - 2018
- [j6]Dusan Fister, Iztok Fister, Iztok Fister Jr.:
Deep Analytics in Sport Community Forums. Int. J. Adv. Pervasive Ubiquitous Comput. 10(2): 18-37 (2018) - [j5]Grega Vrbancic, Lucija Brezocnik, Uros Mlakar, Dusan Fister, Iztok Fister Jr.:
NiaPy: Python microframework for building nature-inspired algorithms. J. Open Source Softw. 3(23): 613 (2018) - [c6]Dusan Fister, Iztok Fister, Timotej Jagric, Iztok Fister Jr., Janez Brest:
A novel self-adaptive differential evolution for feature selection using threshold mechanism. SSCI 2018: 17-24 - 2017
- [c5]Iztok Fister, Andrés Iglesias, Suash Deb, Dusan Fister, Iztok Fister Jr.:
Modeling preference time in middle distance triathlons. ISCBI 2017: 65-69 - [c4]Iztok Fister Jr., Dusan Fister, Samo Rauter, Uros Mlakar, Janez Brest, Iztok Fister:
Deep Analytics Based on Triathlon Athletes' Blogs and News. MENDEL 2017: 279-289 - [i5]Iztok Fister Jr., Dusan Fister, Suash Deb, Uros Mlakar, Janez Brest, Iztok Fister:
Making up for the deficit in a marathon run. CoRR abs/1705.03302 (2017) - [i4]Iztok Fister, Andrés Iglesias, Suash Deb, Dusan Fister, Iztok Fister Jr.:
Modeling preference time in middle distance triathlons. CoRR abs/1707.00718 (2017) - 2016
- [j4]Dusan Fister, Riko Safaric, Iztok Fister Jr., Iztok Fister:
Parameter tuning of PI-controller with Bat algorithm. Informatica (Slovenia) 40(1) (2016) - [j3]Dusan Fister, Iztok Fister Jr., Iztok Fister, Riko Safaric:
Parameter tuning of PID controller with reactive nature-inspired algorithms. Robotics Auton. Syst. 84: 64-75 (2016) - 2015
- [j2]Iztok Fister Jr., Xin-She Yang, Janez Brest, Dusan Fister, Iztok Fister:
Analysis of randomisation methods in swarm intelligence. Int. J. Bio Inspired Comput. 7(1): 36-49 (2015) - [c3]Dusan Fister, Karin Ljubic, Iztok Fister Jr., Iztok Fister, Simon Fong, Zhuang Yan:
Online registration system for recreational cycling marathons: Lessons learned. ICADIWT 2015: 120-126 - [c2]Iztok Fister Jr., Samo Rauter, Karin Ljubic Fister, Dusan Fister, Iztok Fister:
Planning Fitness Training Sessions Using the Bat Algorithm. ITAT 2015: 121-126 - 2014
- [i3]Iztok Fister Jr., Xin-She Yang, Dusan Fister, Iztok Fister:
Cuckoo Search: A Brief Literature Review. CoRR abs/1408.5343 (2014) - 2013
- [j1]Iztok Fister Jr., Dusan Fister, Iztok Fister:
A comprehensive review of cuckoo search: variants and hybrids. Int. J. Math. Model. Numer. Optimisation 4(4): 387-409 (2013) - [c1]Iztok Fister Jr., Dusan Fister, Iztok Fister:
Differential evolution strategies with random forest regression in the bat algorithm. GECCO (Companion) 2013: 1703-1706 - [i2]Iztok Fister Jr., Dusan Fister, Xin-She Yang:
A hybrid bat algorithm. CoRR abs/1303.6310 (2013) - [i1]Iztok Fister Jr., Xin-She Yang, Iztok Fister, Janez Brest, Dusan Fister:
A Brief Review of Nature-Inspired Algorithms for Optimization. CoRR abs/1307.4186 (2013)
Coauthor Index
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last updated on 2024-10-07 22:09 CEST by the dblp team
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