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On the Improvement of Eye Tracking-Based Cognitive Workload Estimation Using Aggregation Functions [PDF]

open access: yesSensors, 2021
Cognitive workload, being a quantitative measure of mental effort, draws significant interest of researchers, as it allows to monitor the state of mental fatigue.
Monika Kaczorowska   +3 more
doaj   +2 more sources

Orness For Idempotent Aggregation Functions [PDF]

open access: yesAxioms, 2017
Aggregation functions are mathematical operators that merge given data in order to obtain a global value that preserves the information given by the data as much as possible.
Leire Legarreta   +2 more
doaj   +4 more sources

General Pseudo Quasi-Overlap Functions on Lattices

open access: yesAxioms, 2022
The notion of general quasi-overlaps on bounded lattices was introduced as a special class of symmetric n-dimensional aggregation functions on bounded lattices satisfying some bound conditions and which do not need to be continuous.
Rui Eduardo Brasileiro Paiva   +1 more
doaj   +1 more source

A Study of OWA Operators Learned in Convolutional Neural Networks

open access: yesApplied Sciences, 2021
Ordered Weighted Averaging (OWA) operators have been integrated in Convolutional Neural Networks (CNNs) for image classification through the OWA layer. This layer lets the CNN integrate global information about the image in the early stages, where most ...
Iris Dominguez-Catena   +2 more
doaj   +1 more source

n-K-Increasing Aggregation Functions

open access: yesAxioms, 2023
We introduce and discuss the concept of n-ary K-increasing fusion functions and n-ary K-increasing aggregation functions, K being a subset of the index set {1,…,n} indicating in which variables a considered function is increasing. It is also assumed that
Radko Mesiar   +3 more
doaj   +1 more source

Systematic Review of Aggregation Functions Applied to Image Edge Detection

open access: yesAxioms, 2023
Edge detection is a crucial process in numerous stages of computer vision. This field of study has recently gained momentum due to its importance in various applications.
Miqueias Amorim   +6 more
doaj   +1 more source

On Fuzzy Implications Derived from General Overlap Functions and Their Relation to Other Classes

open access: yesAxioms, 2022
There are distinct techniques to generate fuzzy implication functions. Despite most of them using the combination of associative aggregators and fuzzy negations, other connectives such as (general) overlap/grouping functions may be a better strategy ...
Jocivania Pinheiro   +6 more
doaj   +1 more source

Trait analysis based on multimodal prediction and optimization of the output parameters: A survey [PDF]

open access: yesSerbian Journal of Electrical Engineering, 2023
This paper provides a survey of apparent personality trait analysis based on multimodal trait prediction and optimization of multimodal output parameters.
Vukojičić Milić, Veinović Mladen
doaj   +1 more source

Actionable Explainable AI (AxAI): A Practical Example with Aggregation Functions for Adaptive Classification and Textual Explanations for Interpretable Machine Learning

open access: yesMachine Learning and Knowledge Extraction, 2022
In many domains of our daily life (e.g., agriculture, forestry, health, etc.), both laymen and experts need to classify entities into two binary classes (yes/no, good/bad, sufficient/insufficient, benign/malign, etc.). For many entities, this decision is
Anna Saranti   +8 more
doaj   +1 more source

Convolution of Decomposition Integrals

open access: yesMathematics, 2022
Four different types of convolutions of aggregation functions (the upper, the lower, the super-, and the sub-convolution) are examined in the setting of both sub- and super-decomposition integrals defined on a finite space. Examples of the results of the
Adam Šeliga
doaj   +1 more source

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