390 citations · 549 across the 8 of their papers we have counts for
10 papers
Profiling the carbon footprint of performance bugs
Iztok Fister, Dušan Fister, Vili Podgorelec
Much debate nowadays is devoted to the impacts of modern information and communication technology on global carbon emissions. Green information and communication technology is a pa…
A comprehensive review of visualization methods for association rule mining: Taxonomy, Challenges, Open problems and Future ideas
Iztok Fister, Dušan Fister, Vili Podgorelec +1
Association rule mining is intended for searching for the relationships between attributes in transaction databases. The whole process of rule discovery is very complex, and involv…
Time series numerical association rule mining variants in smart agriculture
Iztok Fister, Dušan Fister, Vili Podgorelec +1
Numerical association rule mining offers a very efficient way of mining association rules, where algorithms can operate directly with categorical and numerical attributes. These me…
Analysis, Characterization, Prediction and Attribution of Extreme Atmospheric Events with Machine Learning: a Review
Sancho Salcedo-Sanz, Jorge Pérez-Aracil, Guido Ascenso +9
Atmospheric Extreme Events (EEs) cause severe damages to human societies and ecosystems. The frequency and intensity of EEs and other associated events are increasing in the curren…
On deploying the Artificial Sport Trainer into practice
Iztok Fister, Andres Iglesias, Akemi Galvez +2
Computational Intelligence methods for automatic generation of sport training plans in individual sport disciplines have achieved a mature phase. In order to confirm their added va…
Modeling preference time in middle distance triathlons
Iztok Fister, Andres Iglesias, Suash Deb +1
Modeling preference time in triathlons means predicting the intermediate times of particular sports disciplines by a given overall finish time in a specific triathlon course for th…
Making up for the deficit in a marathon run
Iztok Fister, Dušan Fister, Suash Deb +2
To predict the final result of an athlete in a marathon run thoroughly is the eternal desire of each trainer. Usually, the achieved result is weaker than the predicted one due to t…
Cuckoo Search: A Brief Literature Review
I. Fister, X. S. Yang, D. Fister
Cuckoo search (CS) was introduced in 2009, and it has attracted great attention due to its promising efficiency in solving many optimization problems and real-world applications. I…
A Brief Review of Nature-Inspired Algorithms for Optimization
Iztok Fister, Xin-She Yang, Janez Brest +1
Swarm intelligence and bio-inspired algorithms form a hot topic in the developments of new algorithms inspired by nature. These nature-inspired metaheuristic algorithms can be base…
A hybrid bat algorithm
Iztok Fister, Dušan Fister, Xin-She Yang
Swarm intelligence is a very powerful technique to be used for optimization purposes. In this paper we present a new swarm intelligence algorithm, based on the bat algorithm. The B…