Dusan Fister

Expert Syst. Appl., March, 2024

Profiling the carbon footprint of performance bugs.

[BibT_eX]

[DOI]

CoRR, 2024

2023

DynFS: dynamic genotype cutting feature selection algorithm.

[BibT_eX]

[DOI]

Saso Karakatic

J. Ambient Intell. Humaniz. Comput., December, 2023

Time series numerical association rule mining variants in smart agriculture.

[BibT_eX]

[DOI]

J. Ambient Intell. Humaniz. Comput., December, 2023

A comprehensive review of visualization methods for association rule mining: Taxonomy, challenges, open problems and future ideas.

[BibT_eX]

[DOI]

Expert Syst. Appl., December, 2023

Deep learning ensembles for accurate fog-related low-visibility events forecasting.

[BibT_eX]

[DOI]

Jorge Pérez-Aracil

A. de Lopez-Diz

Carlos Casanova-Mateo

Silvia Jiménez-Fernández

Sancho Salcedo-Sanz

Neurocomputing, September, 2023

Design and implementation of parallel self-adaptive differential evolution for global optimization.

[BibT_eX]

[DOI]

Log. J. IGPL, July, 2023

Accurate long-term air temperature prediction with Machine Learning models and data reduction techniques.

[BibT_eX]

[DOI]

Jorge Pérez-Aracil

Javier Del Ser

Sancho Salcedo-Sanz

Appl. Soft Comput., March, 2023

2022

Accurate Long-term Air Temperature Prediction with a Fusion of Artificial Intelligence and Data Reduction Techniques.

[BibT_eX]

[DOI]

Jorge Pérez-Aracil

Javier Del Ser

Sancho Salcedo-Sanz

CoRR, 2022

Analysis, Characterization, Prediction and Attribution of Extreme Atmospheric Events with Machine Learning: a Review.

[BibT_eX]

[DOI]

Ricardo García-Herrera

Marcello Restelli

Matteo Giuliani

Andrea Castelletti

CoRR, 2022

2021

Topology-based generation of sport training sessions.

[BibT_eX]

[DOI]

J. Ambient Intell. Humaniz. Comput., 2021

On deploying the Artificial Sport Trainer into practice.

[BibT_eX]

[DOI]

CoRR, 2021

Two robust long short-term memory frameworks for trading stocks.

[BibT_eX]

[DOI]

Matjaz Perc

Timotej Jagric

Appl. Intell., 2021

2020

Development of a framework for modeling preference times in triathlon.

[BibT_eX]

[DOI]

Neural Comput. Appl., 2020

Post hoc analysis of sport performance with differential evolution.

[BibT_eX]

[DOI]

Neural Comput. Appl., 2020

Use of stochastic nature-inspired population-based algorithms within an online adaptive controller for mechatronic devices.

[BibT_eX]

[DOI]

Appl. Soft Comput., 2020

Parallel Differential Evolution with Variable Population Size for Global Optimization.

[BibT_eX]

[DOI]

Proceedings of the 15th International Conference on Soft Computing Models in Industrial and Environmental Applications, 2020

Visualization of Numerical Association Rules by Hill Slopes.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2020, 2020

On the Potential of the Nature-Inspired Algorithms for Pure Binary Classification.

[BibT_eX]

[DOI]

Proceedings of the Computational Science - ICCS 2020, 2020

2019

Population-Based Metaheuristics for Planning Interval Training Sessions in Mountain Biking.

[BibT_eX]

[DOI]

Proceedings of the Advances in Swarm Intelligence - 10th International Conference, 2019

Wrapper-Based Feature Selection Using Self-adaptive Differential Evolution.

[BibT_eX]

[DOI]

Proceedings of the Swarm, Evolutionary, and Memetic Computing and Fuzzy and Neural Computing, 2019

2018

NiaPy: Python microframework for building nature-inspired algorithms.

[BibT_eX]

[DOI]

J. Open Source Softw., 2018

Deep Analytics in Sport Community Forums.

[BibT_eX]

[DOI]

Int. J. Adv. Pervasive Ubiquitous Comput., 2018

A novel self-adaptive differential evolution for feature selection using threshold mechanism.

[BibT_eX]

[DOI]

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018

2017

Making up for the deficit in a marathon run.

[BibT_eX]

[DOI]

CoRR, 2017

Deep Analytics Based on Triathlon Athletes' Blogs and News.

[BibT_eX]

[DOI]

Proceedings of the Recent Advances in Soft Computing, 2017

Modeling preference time in middle distance triathlons.

[BibT_eX]

[DOI]

Proceedings of the 5th International Symposium on Computational and Business Intelligence, 2017

2016

Parameter tuning of PID controller with reactive nature-inspired algorithms.

[BibT_eX]

[DOI]

Robotics Auton. Syst., 2016

Parameter tuning of PI-controller with Bat algorithm.

[BibT_eX]

[DOI]

Informatica (Slovenia), 2016

2015

Analysis of randomisation methods in swarm intelligence.

[BibT_eX]

[DOI]

Int. J. Bio Inspired Comput., 2015

Planning Fitness Training Sessions Using the Bat Algorithm.

[BibT_eX]

[DOI]

Proceedings of the Proceedings ITAT 2015: Information Technologies, 2015

Online registration system for recreational cycling marathons: Lessons learned.

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence Research and Development, 2015

2014

Cuckoo Search: A Brief Literature Review.

[BibT_eX]

[DOI]

CoRR, 2014

2013

A comprehensive review of cuckoo search: variants and hybrids.

[BibT_eX]

[DOI]

Int. J. Math. Model. Numer. Optimisation, 2013

A hybrid bat algorithm

[BibT_eX]

[DOI]

Xin-She Yang

CoRR, 2013

A Brief Review of Nature-Inspired Algorithms for Optimization.

[BibT_eX]

[DOI]

CoRR, 2013

Differential evolution strategies with random forest regression in the bat algorithm.

[BibT_eX]

[DOI]