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08/29/2023
ARTxAI: Explainable Artificial Intelligence Curates Deep Representation Learning for Artistic Images using Fuzzy Techniques
Automatic art analysis employs different image processing techniques to ...
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10/12/2022
On abstract homogeneous interval-valued functions
In this paper we develop the idea of abstract homogeneity in the context...
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10/11/2022
On Monotonicities of Interval Valued Functions
In this paper we introduce the notion of conditional monotonicity and fr...
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09/13/2021
The Concept of Semantic Value in Social Network Analysis: an Application to Comparative Mythology
Human sciences have traditionally relied on human reasoning and intellig...
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06/08/2021
Towards interval uncertainty propagation control in bivariate aggregation processes and the introduction of width-limited interval-valued overlap functions
Overlap functions are a class of aggregation functions that measure the ...
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04/22/2021
Neuro-inspired edge feature fusion using Choquet integrals
It is known that the human visual system performs a hierarchical informa...
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01/25/2021
A fusion method for multi-valued data
In this paper we propose an extension of the notion of deviation-based a...
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01/18/2021
Motor-Imagery-Based Brain Computer Interface using Signal Derivation and Aggregation Functions
Brain Computer Interface technologies are popular methods of communicati...
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11/19/2020
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...
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07/02/2020
Learning ordered pooling weights in image classification
Spatial pooling is an important step in computer vision systems like Con...
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03/30/2020
Co-occurrence of deep convolutional features for image search
Image search can be tackled using deep features from pre-trained Convolu...
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03/08/2019
Do we still need fuzzy classifiers for Small Data in the Era of Big Data?
The Era of Big Data has forced researchers to explore new distributed so...
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02/28/2019
On the usage of the probability integral transform to reduce the complexity of multi-way fuzzy decision trees in Big Data classification problems
We present a new distributed fuzzy partitioning method to reduce the com...
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02/25/2019
CFM-BD: a distributed rule induction algorithm for building Compact Fuzzy Models in Big Data classification problems
Interpretability has always been a major concern for fuzzy rule-based cl...
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10/20/2016
