Fister, Dusan
Publications
- Articles 29
- Books 0
- Book chapters 14
- Conferences 21
- Working papers 0
- Technical reports 0
- Research projects 0
- Supervised theses 0
- Patent or software license 0
Analysis, characterization, prediction, and attribution of extreme atmospheric events with machine learning and deep learning techniques: a review
- Salcedo-Sanz, S.
- Pérez-Aracil, J.
- Ascenso, G.
- Del Ser, J.
- Casillas-Pérez, D.
- Kadow, C.
- Fister, D.
- Barriopedro, D.
- García-Herrera, R.
- Giuliani, M.
- Castelletti, A.
Theoretical and Applied Climatology - 2023
Editor: Springer
10.1007/s00704-023-04571-5 View at source
- ISSN/ISBN 1434-4483
Towards the novel reasoning among particles in PSO by the use of RDF and SPARQL
- Fister, I.
- Yang, X.-S.
- Ljubič, K.
- Fister, D.
- Brest, J.
The Scientific World Journal - 2014
Editor: ScientificWorld Ltd.
10.1155/2014/121782 View at source
- ISSN/ISBN 1537-744X
Firefly algorithm: A brief review of the expanding literature
- Fister, I.
- Yang, X.-S.
- Fister, D.
- Fister, I.
Studies in Computational Intelligence (p. 347-360) - 2014
Editor: Springer Verlag
10.1007/978-3-319-02141-6_17 View at source
- ISSN/ISBN 9783319021409
Parameter tuning of PID controller with reactive nature-inspired algorithms
- Fister, D.
- Fister, I.
- Fister, I.
- Šafarič, R.
Robotics and Autonomous Systems (p. 64-75) - 2016
Editor: Elsevier B.V.
10.1016/j.robot.2016.07.005 View at source
- ISSN/ISBN 0921-8890
A hierarchical classification/regression algorithm for improving extreme wind speed events prediction
- Peláez-Rodríguez, C.
- Pérez-Aracil, J.
- Fister, D.
- Prieto-Godino, L.
- Deo, R.C.
- Salcedo-Sanz, S.
Renewable Energy (p. 157-178) - 2022
Editor: Elsevier Ltd
10.1016/j.renene.2022.11.042 View at source
- ISSN/ISBN 1879-0682
Deep learning ensembles for accurate fog-related low-visibility events forecasting
- Peláez-Rodríguez, C.
- Pérez-Aracil, J.
- de Lopez-Diz, A.
- Casanova-Mateo, C.
- Fister, D.
- Jiménez-Fernández, S.
- Salcedo-Sanz, S.
Neurocomputing - 2023
Editor: Elsevier B.V.
10.1016/j.neucom.2023.126435 View at source
- ISSN/ISBN 1872-8286
Deep learning for stock market trading: A superior trading strategy?
- Fister, D.
- Mun, J.C.
- Jagric, V.
- Jagric, T.
Neural Network World (p. 151-171) - 2019
Editor: Institute of Computer Science
10.14311/nnw.2019.29.011 View at source
- ISSN/ISBN 1210-0552
Post hoc analysis of sport performance with differential evolution
- Fister, I.
- Fister, D.
- Deb, S.
- Mlakar, U.
- Brest, J.
- Fister, I.
Neural Computing and Applications (p. 10799-10808) - 2020
Editor: Springer
10.1007/s00521-018-3395-3 View at source
- ISSN/ISBN 1433-3058
Development of a framework for modeling preference times in triathlon
- Fister, I.
- Iglesias, A.
- Deb, S.
- Fister, D.
- Fister, I.
Neural Computing and Applications (p. 10833-10846) - 2020
Editor: Springer
10.1007/s00521-018-3632-9 View at source
- ISSN/ISBN 1433-3058
Design and implementation of parallel self-adaptive differential evolution for global optimization
- Fister, I.
- Iglesias, A.
- Galvez, A.
- Fister, D.
- Fister, I.
Logic Journal of the IGPL (p. 701-721) - 2023
Editor: Oxford University Press
10.1093/jigpal/jzac034 View at source
- ISSN/ISBN 1368-9894
This researcher has no books.
Reinforcement Learning-Based Differential Evolution for Global Optimization
- Fister, I.
- Fister, D.
Studies in Computational Intelligence (p. 43-75) - 2022
Editor: Springer Science and Business Media Deutschland GmbH
10.1007/978-981-16-8082-3_3 View at source
- ISSN/ISBN 1860-9503
Cuckoo search: A brief literature review
- Fister, I.
- Yang, X.-S.
- Fister, D.
- Fister, I.
Studies in Computational Intelligence (p. 49-62) - 2014
Editor: Springer Verlag
10.1007/978-3-319-02141-6_3 View at source
- ISSN/ISBN 9783319021409
THE BANKING INDUSTRY IN THE ECOSYSTEM OF DIGITAL CURRENCIES AND DIGITAL CENTRAL BANK CURRENCIES
- Jagrič, T.
- Fister, D.
- Amon, A.
- Jagrič, V.
- Beloglavec, S.T.
Contemporary Studies in Economic and Financial Analysis (p. 89-115) - 2022
Editor: Emerald Publishing
10.1108/s1569-37592022000109a006 View at source
- ISSN/ISBN 1569-3759
Visualization of Sports Activities Created by Wearable Mobile Devices
- Fister, I.
- Fister, I.
- Fister, D.
Adaptation, Learning, and Optimization (p. 223-246) - 2019
Editor: Springer Verlag
10.1007/978-3-030-03490-0_10 View at source
- ISSN/ISBN 1867-4542
Theory of sports training
- Fister, I.
- Fister, I.
- Fister, D.
Adaptation, Learning, and Optimization (p. 103-119) - 2019
Editor: Springer Verlag
10.1007/978-3-030-03490-0_5 View at source
- ISSN/ISBN 1867-4542
Batminer for identifying the characteristics of athletes in training
- Fister, I.
- Fister, I.
- Fister, D.
Adaptation, Learning, and Optimization (p. 201-221) - 2019
Editor: Springer Verlag
10.1007/978-3-030-03490-0_9 View at source
- ISSN/ISBN 1867-4542
Principles of human movement
- Fister, I.
- Fister, I.
- Fister, D.
Adaptation, Learning, and Optimization (p. 83-100) - 2019
Editor: Springer Verlag
10.1007/978-3-030-03490-0_4 View at source
- ISSN/ISBN 1867-4542
Knowledge discovery in sport
- Fister, I.
- Fister, I.
- Fister, D.
Adaptation, Learning, and Optimization (p. 27-51) - 2019
Editor: Springer Verlag
10.1007/978-3-030-03490-0_2 View at source
- ISSN/ISBN 1867-4542
Adaptation of training plans
- Fister, I.
- Fister, I.
- Fister, D.
Adaptation, Learning, and Optimization (p. 181-200) - 2019
Editor: Springer Verlag
10.1007/978-3-030-03490-0_8 View at source
- ISSN/ISBN 1867-4542
Generating training plans based on existing sports activities
- Fister, I.
- Fister, I.
- Fister, D.
Adaptation, Learning, and Optimization (p. 139-180) - 2019
Editor: Springer Verlag
10.1007/978-3-030-03490-0_7 View at source
- ISSN/ISBN 1867-4542
Parallel Differential Evolution with Variable Population Size for Global Optimization
- Iztok Fister Jr.
- Andres Iglesias
- Akemi Gálvez Tomida
- Dušan Fister
15th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2020): Burgos, Spain ; September 2020 (p. 89-99) - 2021
Editor: Springer Suiza
- ISSN/ISBN 978-3-030-57801-5
This researcher has no working papers.
This researcher has no technical reports.
This researcher has no research projects.
This researcher has no supervised thesis.
This researcher has no patents or software licenses.
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