The structure and dynamics of networks with higher order interactions
All beauty, richness and harmony in the emergent dynamics of a complex system largely
depend on the specific way in which its elementary components interact. The last twenty-five …
depend on the specific way in which its elementary components interact. The last twenty-five …
[PDF][PDF] A review of fuzzy and neutrosophic offsets: Connections to some set concepts and normalization function
T Fujita - … and Uncertainization: Fuzzy, Neutrosophic, Soft, Rough …, 2024 - academia.edu
To effectively address the uncertainties inherent in real-world scenarios, various extensions
of set theory have been developed, including Fuzzy Sets, Neutrosophic Sets, and …
of set theory have been developed, including Fuzzy Sets, Neutrosophic Sets, and …
On similarity
LF Costa - Physica A: Statistical Mechanics and its Applications, 2022 - Elsevier
The objective quantification of similarity between two mathematical or physical structures,
from scalars to graphs, constitutes a central issue in the physical sciences and technology …
from scalars to graphs, constitutes a central issue in the physical sciences and technology …
Coincidence complex networks
L da Fontoura Costa - Journal of Physics: complexity, 2022 - iopscience.iop.org
Complex networks, which constitute the main subject of network science, have been wide
and extensively adopted for representing, characterizing, and modeling an ample range of …
and extensively adopted for representing, characterizing, and modeling an ample range of …
Tanimoto random features for scalable molecular machine learning
The Tanimoto coefficient is commonly used to measure the similarity between molecules
represented as discrete fingerprints, either as a distance metric or a positive definite kernel …
represented as discrete fingerprints, either as a distance metric or a positive definite kernel …
Multiset neurons
LF Costa - Physica A: Statistical Mechanics and its Applications, 2023 - Elsevier
The present work addresses the adoption of multiset similarity, more specifically the real-
valued Jaccard and coincidence indices, as an element underlying artificial neurons. The …
valued Jaccard and coincidence indices, as an element underlying artificial neurons. The …
Convolutional neural network algorithms for semantic segmentation of volcanic ash plumes using visible camera imagery
In the last decade, video surveillance cameras have experienced a great technological
advance, making capturing and processing of digital images and videos more reliable in …
advance, making capturing and processing of digital images and videos more reliable in …
Advanced Fuzzy Sets and Genetic Algorithm Optimizer for Mammographic Image Enhancement
A well-researched field is the development of Computer Aided Diagnosis (CADx) Systems
for the benign-malignant classification of abnormalities detected by mammography. Due to …
for the benign-malignant classification of abnormalities detected by mammography. Due to …
Glitter or gold? Deriving structured insights from sustainability reports via large language models
Over the last decade, several regulatory bodies have started requiring the disclosure of non-
financial information from publicly listed companies, in light of the investors' increasing …
financial information from publicly listed companies, in light of the investors' increasing …
Comparing cross correlation-based similarities
LF Costa - arxiv preprint arxiv:2111.08513, 2021 - arxiv.org
The real-valued Jaccard and coincidence indices, in addition to their conceptual and
computational simplicity, have been verified to be able to provide promising results in tasks …
computational simplicity, have been verified to be able to provide promising results in tasks …