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Explainable classification methods for fish species detection using hydroacoustic data
(IEEE, 2021)
info:eu-repo/semantics/conferenceObject,
This work aims to evaluate explainable classification methods for the detection of fish species from hydroacoustic data acquired by echo sounders at a region near the coastline of south and southeastern Brazil. Decision ...
VCI-LSTM: Vector choquet integral-based long short-term memory
(IEEE, 2022)
Artículo / Artikulua,
Choquet integral is a widely used aggregation operator on one-dimensional and interval-valued information, since it is able to take into account the possible interaction among data. However, there are many cases where the ...
Systematic review of aggregation functions applied to image edge detection
(MDPI, 2023)
Artículo / Artikulua,
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. The uncertainty, among other characteristics of ...
Generalizing max pooling via (a, b)-grouping functions for convolutional neural networks
(Elsevier, 2023)
Artículo / Artikulua,
Due to their high adaptability to varied settings and effective optimization algorithm, Convolutional Neural
Networks (CNNs) have set the state-of-the-art on image processing jobs for the previous decade. CNNs work in
a ...
Application of the Sugeno integral in fuzzy rule-based classification
(Springer, 2022)
Contribución a congreso / Biltzarrerako ekarpena,
Fuzzy Rule-Based Classification System (FRBCS) is a well known technique to deal with classification problems. Recent studies have considered the usage of the Choquet integral and its generalizations to enhance the quality ...
Application and comparison of CC-integrals in business group decision making
(Springer, 2022)
Contribución a congreso / Biltzarrerako ekarpena,
Optimized decisions is required by businesses (analysts) if
they want to stay open. Even thought some of these are from the knowhow of the managers/executives, most of them can be described mathematically and solved ...
On construction methods of (interval-valued) general grouping functions
(Springer, 2022)
Contribución a congreso / Biltzarrerako ekarpena,
Recently, several theoretical and applied studies on grouping functions and overlap functions appeared in the literature, mainly because of their flexibility when comparing them with the popular aggregation operators ...
Quantifying external information in social network analysis: an application to comparative mythology
(IEEE, 2023)
Artículo / Artikulua,
Social network analysis is a popular tool to understand the relationships between interacting agents by studying the structural properties of their connections. However, this kind of analysis can miss some of the domain-specific ...
Exploring the relationships between data complexity and classification diversity in ensembles
(SciTePress, 2021)
Contribución a congreso / Biltzarrerako ekarpena,
Several classification techniques have been proposed in the last years. Each approach is best suited for a particular classification problem, i.e., a classification algorithm may not effectively or efficiently recognize ...
CC-separation measure applied in business group decision making
(SciTePress, 2021)
Contribución a congreso / Biltzarrerako ekarpena,
In business, one of the most important management functions is decision making The Group Modular Choquet Random TOPSIS (GMC-RTOPSIS) is a Multi-Criteria Decision Making (MCDM) method that can work with multiple heterogeneous ...