Dusan Fister

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 35

Top Topics

Training Sessions

Post Hoc Analysis

Differential Evolution

Top Venues

J. Ambient Intell. Humaniz. Comput.

Expert Syst. Appl.

Publications

Dusan Fister, César Peláez-Rodríguez, Laura Cornejo-Bueno, Jorge Pérez-Aracil, Sancho Salcedo-Sanz
Autoencoder Framework for General Forecasting. IWINAC (2) (2024)
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) (2024)
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) (2024)
Iztok Fister Jr., Dusan Fister, Vili Podgorelec, Iztok Fister
Profiling the carbon footprint of performance bugs. CoRR (2024)
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)
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 (2023)
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) (2023)
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 (2023)
Dusan Fister, Iztok Fister Jr., Saso Karakatic
DynFS: dynamic genotype cutting feature selection algorithm. J. Ambient Intell. Humaniz. Comput. 14 (12) (2023)
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 (2023)
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 (2023)
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) (2023)
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 (2022)
Iztok Fister Jr., Dusan Fister, Iztok Fister, Vili Podgorelec, Sancho Salcedo-Sanz
Time series numerical association rule mining variants in smart agriculture. CoRR (2022)
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 (2022)
Dusan Fister, Matjaz Perc, Timotej Jagric
Two robust long short-term memory frameworks for trading stocks. Appl. Intell. 51 (10) (2021)
Iztok Fister Jr., Iztok Fister, Andrés Iglesias, Akemi Gálvez, Suash Deb, Dusan Fister
On deploying the Artificial Sport Trainer into practice. CoRR (2021)
Iztok Fister Jr., Dusan Fister, Iztok Fister
Topology-based generation of sport training sessions. J. Ambient Intell. Humaniz. Comput. 12 (1) (2021)
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) (2020)
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) (2020)
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)
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)
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 (2020)
Iztok Fister, Andrés Iglesias, Akemi Gálvez, Dusan Fister, Iztok Fister Jr.
Parallel Differential Evolution with Variable Population Size for Global Optimization. SOCO (2020)
Dusan Fister, Iztok Fister, Timotej Jagric, Iztok Fister Jr., Janez Brest
Wrapper-Based Feature Selection Using Self-adaptive Differential Evolution. SEMCCO/FANCCO (2019)
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)
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) (2018)
Dusan Fister, Iztok Fister, Iztok Fister Jr.
Deep Analytics in Sport Community Forums. Int. J. Adv. Pervasive Ubiquitous Comput. 10 (2) (2018)
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)
Iztok Fister, Andrés Iglesias, Suash Deb, Dusan Fister, Iztok Fister Jr.
Modeling preference time in middle distance triathlons. ISCBI (2017)
Iztok Fister Jr., Dusan Fister, Samo Rauter, Uros Mlakar, Janez Brest, Iztok Fister
Deep Analytics Based on Triathlon Athletes' Blogs and News. MENDEL (2017)
Iztok Fister, Andrés Iglesias, Suash Deb, Dusan Fister, Iztok Fister Jr.
Modeling preference time in middle distance triathlons. CoRR (2017)
Iztok Fister Jr., Dusan Fister, Suash Deb, Uros Mlakar, Janez Brest, Iztok Fister
Making up for the deficit in a marathon run. CoRR (2017)
Dusan Fister, Riko Safaric, Iztok Fister Jr., Iztok Fister
Parameter tuning of PI-controller with Bat algorithm. Informatica (Slovenia) 40 (1) (2016)
Dusan Fister, Iztok Fister Jr., Iztok Fister, Riko Safaric
Parameter tuning of PID controller with reactive nature-inspired algorithms. Robotics Auton. Syst. 84 (2016)
Iztok Fister Jr., Samo Rauter, Karin Ljubic Fister, Dusan Fister, Iztok Fister
Planning Fitness Training Sessions Using the Bat Algorithm. ITAT (2015)
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) (2015)
Dusan Fister, Karin Ljubic, Iztok Fister Jr., Iztok Fister, Simon Fong, Zhuang Yan
Online registration system for recreational cycling marathons: Lessons learned. ICADIWT (2015)
Iztok Fister Jr., Xin-She Yang, Dusan Fister, Iztok Fister
Cuckoo Search: A Brief Literature Review. CoRR (2014)
Iztok Fister Jr., Dusan Fister, Xin-She Yang
A hybrid bat algorithm CoRR (2013)
Iztok Fister Jr., Dusan Fister, Iztok Fister
A comprehensive review of cuckoo search: variants and hybrids. Int. J. Math. Model. Numer. Optimisation 4 (4) (2013)
Iztok Fister Jr., Xin-She Yang, Iztok Fister, Janez Brest, Dusan Fister
A Brief Review of Nature-Inspired Algorithms for Optimization. CoRR (2013)
Iztok Fister Jr., Dusan Fister, Iztok Fister
Differential evolution strategies with random forest regression in the bat algorithm. GECCO (Companion) (2013)