Results 1 to 10 of about 296,952 (160)
On the Improvement of Eye Tracking-Based Cognitive Workload Estimation Using Aggregation Functions [PDF]
Sensors, 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
Aggregation functions: Means [PDF]
Information Sciences, 2011 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Radko Mesiar +2 more
exaly +7 more sources
Systematic Review of Aggregation Functions Applied to Image Edge Detection
Axioms, 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 +3 more sources
Orness For Idempotent Aggregation Functions [PDF]
Axioms, 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 +5 more sources
An Abstract Result on Projective Aggregation Functions
Axioms, 2018 A general characterization result of projective aggregation functions is shown, the proof of which makes use of the celebrated Arrow’s theorem, thus providing a link between aggregation functions theory and social choice theory.
Juan C. Candeal
doaj +3 more sources
Choquet-inspired aggregation functions
Information FusionIn this work, we propose a new family of aggregation functions inspired by the well-known Choquet integral. To build these functions, we replace the measure in the definition of the Choquet integral by an appropriate function. We study the properties of these aggregation functions and explore the relations with some other common aggregation functions ...
Julio Lafuente +2 more
exaly +6 more sources
Learning Aggregation Functions [PDF]
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021 Learning on sets is increasingly gaining attention in the machine learning community, due to its widespread applicability. Typically, representations over sets are computed by using fixed aggregation functions such as sum or maximum. However, recent results showed that universal function representation by sum- (or max-) decomposition requires either ...
Giovanni Pellegrini +4 more
openaire +6 more sources
General Pseudo Quasi-Overlap Functions on Lattices
Axioms, 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
Applied 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
Axioms, 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