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Found 6 papers, 3 papers with code
ARTxAI: Explainable Artificial Intelligence Curates Deep Representation Learning for Artistic Images using Fuzzy Techniques
We also show that some of the features used by these models can be more clearly correlated to visual traits in the original image than others.
The Concept of Semantic Value in Social Network Analysis: an Application to Comparative Mythology
We use these concept of meaning and semantic affinity to analyze and compare the gods and heroes from three different classical mythologies: Greek, Celtic and Nordic.
A fusion method for multi-valued data
In this paper we propose an extension of the notion of deviation-based aggregation function tailored to aggregate multidimensional data.
Motor-Imagery-Based Brain Computer Interface using Signal Derivation and Aggregation Functions
In BCI applications, the ElectroEncephaloGraphy is a very popular measurement for brain dynamics because of its non-invasive nature.
Ranked #1 on
EEG 4 classes
on BCI Competition IV 2a
Interval-valued aggregation functions based on moderate deviations applied to Motor-Imagery-Based Brain Computer Interface
In this work we study the use of moderate deviation functions to measure similarity and dissimilarity among a set of given interval-valued data.
Ranked #3 on
EEG Left/Right hand
on BCI Competition IV 2a
Adaptive binarization based on fuzzy integrals
This document presents a new adaptive binarization technique based on fuzzy integral images through an efficient design of a modified SAT for fuzzy integrals.
