Differential evolution strategies with random forest regression in the bat algorithm. - Iztok Fister Jr.; Dusan Fister; Iztok Fister 001 (GECCO (Companion), 2013)

A Brief Review of Nature-Inspired Algorithms for Optimization. - Iztok Fister Jr.; Xin-She Yang 001; Iztok Fister 001; Janez Brest; Dusan Fister (CoRR, 2013)

A hybrid bat algorithm - Iztok Fister Jr.; Dusan Fister; Xin-She Yang 001 (CoRR, 2013)

A comprehensive review of cuckoo search: variants and hybrids. - Iztok Fister Jr.; Dusan Fister; Iztok Fister 001 (Int. J. Math. Model. Numer. Optimisation, 2013)

Cuckoo Search: A Brief Literature Review. - Iztok Fister Jr.; Xin-She Yang 001; Dusan Fister; Iztok Fister 001 (CoRR, 2014)

Online registration system for recreational cycling marathons: Lessons learned. - Dusan Fister; Karin Ljubic; Iztok Fister Jr.; Iztok Fister 001; Simon Fong 001; Zhuang Yan (ICADIWT, 2015)

Planning Fitness Training Sessions Using the Bat Algorithm. - Iztok Fister Jr.; Samo Rauter; Karin Ljubic Fister; Dusan Fister; Iztok Fister 001 (ITAT, 2015)

Analysis of randomisation methods in swarm intelligence. - Iztok Fister Jr.; Xin-She Yang 001; Janez Brest; Dusan Fister; Iztok Fister 001 (Int. J. Bio Inspired Comput., 2015)

Parameter tuning of PI-controller with Bat algorithm. - Dusan Fister; Riko Safaric; Iztok Fister Jr.; Iztok Fister 001 (Informatica (Slovenia), 2016)

Parameter tuning of PID controller with reactive nature-inspired algorithms. - Dusan Fister; Iztok Fister Jr.; Iztok Fister 001; Riko Safaric (Robotics Auton. Syst., 2016)

Modeling preference time in middle distance triathlons. - Iztok Fister 001; Andrés Iglesias 001; Suash Deb; Dusan Fister; Iztok Fister Jr. (ISCBI, 2017)

Deep Analytics Based on Triathlon Athletes' Blogs and News. - Iztok Fister Jr.; Dusan Fister; Samo Rauter; Uros Mlakar; Janez Brest; Iztok Fister 001 (MENDEL, 2017)

Making up for the deficit in a marathon run. - Iztok Fister Jr.; Dusan Fister; Suash Deb; Uros Mlakar; Janez Brest; Iztok Fister 001 (CoRR, 2017)

A novel self-adaptive differential evolution for feature selection using threshold mechanism. - Dusan Fister; Iztok Fister 001; Timotej Jagric; Iztok Fister Jr.; Janez Brest (SSCI, 2018)

Deep Analytics in Sport Community Forums. - Dusan Fister; Iztok Fister 001; Iztok Fister Jr. (Int. J. Adv. Pervasive Ubiquitous Comput., 2018)

NiaPy: Python microframework for building nature-inspired algorithms. - Grega Vrbancic; Lucija Brezocnik; Uros Mlakar; Dusan Fister; Iztok Fister Jr. (J. Open Source Softw., 2018)

Wrapper-Based Feature Selection Using Self-adaptive Differential Evolution. - Dusan Fister; Iztok Fister 001; Timotej Jagric; Iztok Fister Jr.; Janez Brest (SEMCCO/FANCCO, 2019)

Population-Based Metaheuristics for Planning Interval Training Sessions in Mountain Biking. - Iztok Fister Jr.; Dusan Fister; Andrés Iglesias 001; Akemi Gálvez; Samo Rauter; Iztok Fister 001 (ICSI (1), 2019)

On the Potential of the Nature-Inspired Algorithms for Pure Binary Classification. - Iztok Fister Jr.; Iztok Fister 001; Dusan Fister; Grega Vrbancic; Vili Podgorelec (ICCS (5), 2020)

Visualization of Numerical Association Rules by Hill Slopes. - Iztok Fister 001; Dusan Fister; Andrés Iglesias 001; Akemi Gálvez; Eneko Osaba; Javier Del Ser; Iztok Fister Jr. (IDEAL (1), 2020)

Parallel Differential Evolution with Variable Population Size for Global Optimization. - Iztok Fister 001; Andrés Iglesias 001; Akemi Gálvez; Dusan Fister; Iztok Fister Jr. (SOCO, 2020)

Use of stochastic nature-inspired population-based algorithms within an online adaptive controller for mechatronic devices. - Jakob Safaric; Primoz Bencak; Dusan Fister; Riko Safaric; Iztok Fister 001 (Appl. Soft Comput., 2020)

Post hoc analysis of sport performance with differential evolution. - Iztok Fister 001; Dusan Fister; Suash Deb; Uros Mlakar; Janez Brest; Iztok Fister Jr. (Neural Comput. Appl., 2020)

Development of a framework for modeling preference times in triathlon. - Iztok Fister Jr.; Andrés Iglesias 001; Suash Deb; Dusan Fister; Iztok Fister 001 (Neural Comput. Appl., 2020)

On Deploying the Artificial Sport Trainer into Practice. - Iztok Fister 001; Andrés Iglesias 001; Akemi Gálvez; Suash Deb; Dusan Fister (ISCMI, 2021)

Two robust long short-term memory frameworks for trading stocks. - Dusan Fister; Matjaz Perc; Timotej Jagric (Appl. Intell., 2021)

On deploying the Artificial Sport Trainer into practice. - Iztok Fister Jr.; Iztok Fister 001; Andrés Iglesias 001; Akemi Gálvez; Suash Deb; Dusan Fister (CoRR, 2021)

Topology-based generation of sport training sessions. - Iztok Fister Jr.; Dusan Fister; Iztok Fister 001 (J. Ambient Intell. Humaniz. Comput., 2021)

Analysis, Characterization, Prediction and Attribution of Extreme Atmospheric Events with Machine Learning: a Review. - 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 (CoRR, 2022)

Accurate Long-term Air Temperature Prediction with a Fusion of Artificial Intelligence and Data Reduction Techniques. - Dusan Fister; Jorge Pérez-Aracil; César Peláez-Rodríguez; Javier Del Ser; Sancho Salcedo-Sanz (CoRR, 2022)

Accurate long-term air temperature prediction with Machine Learning models and data reduction techniques. - Dusan Fister; Jorge Pérez-Aracil; César Peláez-Rodríguez; Javier Del Ser; Sancho Salcedo-Sanz (Appl. Soft Comput., 2023)

Design and implementation of parallel self-adaptive differential evolution for global optimization. - Iztok Fister 001; Andrés Iglesias 001; Akemi Gálvez; Dusan Fister; Iztok Fister Jr. (Log. J. IGPL, 2023)

Deep learning ensembles for accurate fog-related low-visibility events forecasting. - César Peláez-Rodríguez; Jorge Pérez-Aracil; A. de Lopez-Diz; Carlos Casanova-Mateo; Dusan Fister; Silvia Jiménez-Fernández; Sancho Salcedo-Sanz (Neurocomputing, 2023)

A comprehensive review of visualization methods for association rule mining: Taxonomy, challenges, open problems and future ideas. - Iztok Fister Jr.; Iztok Fister 001; Dusan Fister; Vili Podgorelec; Sancho Salcedo-Sanz (Expert Syst. Appl., 2023)

Time series numerical association rule mining variants in smart agriculture. - Iztok Fister Jr.; Dusan Fister; Iztok Fister 001; Vili Podgorelec; Sancho Salcedo-Sanz (J. Ambient Intell. Humaniz. Comput., 2023)

DynFS: dynamic genotype cutting feature selection algorithm. - Dusan Fister; Iztok Fister Jr.; Saso Karakatic (J. Ambient Intell. Humaniz. Comput., 2023)

Autoencoder Framework for General Forecasting. - Dusan Fister; César Peláez-Rodríguez; Laura Cornejo-Bueno; Jorge Pérez-Aracil; Sancho Salcedo-Sanz (IWINAC (2), 2024)

Prediction of Extreme Wave Heights via a Fuzzy-Based Cascade Ensemble Model. - César Peláez-Rodríguez; Laura Cornejo-Bueno; Dusan Fister; Jorge Pérez-Aracil; Sancho Salcedo-Sanz (IWINAC (2), 2024)

Profiling the carbon footprint of performance bugs. - Iztok Fister Jr.; Dusan Fister; Vili Podgorelec; Iztok Fister 001 (CoRR, 2024)

Bike sharing and cable car demand forecasting using machine learning and deep learning multivariate time series approaches. - César Peláez-Rodríguez; Jorge Pérez-Aracil; Dusan Fister; Ricardo Torres-Lopez; Sancho Salcedo-Sanz (Expert Syst. Appl., 2024)

Private Firm Valuation Using Multiples: Can Artificial Intelligence Algorithms Learn Better Peer Groups? - Timotej Jagric; Dusan Fister; Stefan Otto Grbenic; Aljaz Herman (Inf., 2024)