Results 11 to 20 of about 48,738 (183)
Enhancing Interpretability in Medical Image Classification by Integrating Formal Concept Analysis with Convolutional Neural Networks. [PDF]
In this study, we present a novel approach to enhancing the interpretability of medical image classification by integrating formal concept analysis (FCA) with convolutional neural networks (CNNs). While CNNs are increasingly applied in medical diagnoses,
Khatri M, Yin Y, Deogun J.
europepmc +2 more sources
BERT4FCA: A method for bipartite link prediction using formal concept analysis and BERT. [PDF]
Link prediction in bipartite networks finds practical applications in various domains, including friend recommendation in social networks and chemical reaction prediction in metabolic networks.
Peng S, Yang H, Yamamoto A.
europepmc +3 more sources
Data analytics has emerged as one of the most advanced technologies in recent times. However, the successful implementation of analytics is still a great challenge since they suffer from technical barriers and have a lack of structured approaches for ...
Omari Firas
semanticscholar +1 more source
Survey on attribute and concept reduction methods in formal concept analysis
Formal concept analysis (FCA) is now widely recognized as a useful approach for extracting, representing, and analyzing knowledge in various domains. The high computational cost of knowledge processing and the difficulty of visualizing the lattice are ...
Mohammed Alwersh, L. Kovács
semanticscholar +1 more source
A Survey of Formal Concept Analysis and Concept Lattices
Formal concept is the basic unit of knowledge representation. Concept lattice comes from formal concept analysis theory, which is the ordered hierarchy of all formal concepts. Concept lattice structure model is a powerful tool for data analysis.
Yue Wang, Yu-Jin Song, Yanan Wang
semanticscholar +1 more source
The booming of Social Internet of Things (SIoT) has witnessed the significance of graph mining and analysis for social network management. Online Social Networks (OSNs) can be efficiently managed by monitoring users’ behaviors within a cohesive social ...
Yixuan Yang +4 more
semanticscholar +1 more source
fcaR, Formal Concept Analysis with R
Formal concept analysis (FCA) is a solid mathematical framework to manage information based on logic and lattice theory. It defines two explicit representations of the knowledge present in a dataset as concepts and implications. This paper describes an R
P. Cordero +3 more
semanticscholar +1 more source
Formal Concept Analysis Applications in Bioinformatics
The bioinformatics discipline seeks to solve problems in biology with computational theories and methods. Formal concept analysis (FCA) is one such theoretical model, based on partial orders.
Sarah Roscoe +5 more
semanticscholar +1 more source
Proteomic insights into the invasiveness and tumor progression of non-functioning pituitary adenomas: A scoping review. [PDF]
Abstract Nonfunctioning pituitary adenomas (NFPAs) are common intracranial tumors that, despite being histologically benign, can exhibit invasive growth, as well as postoperative tumor progression. Surgical resection is the primary treatment of choice; however, residual tumor tissue is frequently observed, with between 30% and 50% of these cases ...
Skoglund T +5 more
europepmc +2 more sources
Characterizing One-Sided Formal Concept Analysis by Multi-Adjoint Concept Lattices
Managing and extracting information from databases is one of the main goals in several fields, as in Formal Concept Analysis (FCA). One-sided concept lattices and multi-adjoint concept lattices are two frameworks in FCA that have been developed in ...
M. J. Benítez-Caballero +2 more
semanticscholar +1 more source

