Listar por autor "López-Rodríguez, Domingo"
Mostrando ítems 1-19 de 19
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A conversational recommender system for diagnosis using fuzzy rules.
Cordero-Ortega, Pablo
; Enciso-García-Oliveros, Manuel; López-Rodríguez, Domingo; Mora-Bonilla, Ángel (Elsevier, 2020-09-15)
Graded implications in the framework of Fuzzy Formal Concept Analysis are used as the knowledge guiding the recommendations. An automated engine based on fuzzy Simplification Logic is proposed to make the suggestions to ... -
A Formal Concept Analysis approach to hierarchical description of malware threats
Ojeda Hernández, Manuel; López-Rodríguez, Domingo; Mora, Angel (2024-07-04)
The problem of intelligent malware detection has become increasingly relevant in the industry, as there has been an explosion in the diversity of threats and attacks that affect not only small users, but also large ... -
Análisis y extracción de conocimientos de las redes sociales usando FCA
(2021-09)En este trabajo fin de grado se presenta el desarrollo de una aplicación web que facilita la obtención de datos de ciertas redes sociales para realizar análisis de dichas redes con la finalidad de extraer información que ... -
Analysis of functional connectome pipelines for the diagnosis of autism spectrum disorders
Maza Quiroga, Rosa María; López-Rodríguez, Domingo; Thurnhofer-Hemsi, Karl; Luque-Baena, Rafael Marcos; Jiménez Valverde, Clara; López-Rubio, Ezequiel[et al.] (2022-05)
This paper explores the effect of using different pipelines to compute connectomes (matrices representing brain connections) and use them to train machine learning models with the goal of diagnosing Autism Spectrum ... -
Analysis of Fuzzy Vector Spaces as an Algebraic Framework for Flag Codes
Bejines-López, Carlos; Ojeda Hernández, Manuel; López-Rodríguez, Domingo (MDPI, 2024)
Flag codes are a recent network coding strategy based on linear algebra. Fuzzy vector subspaces extend the notions of classical linear algebra. They can be seen as abstractions of flags to the point that several fuzzy ... -
Aprendizaje Computacional aplicado al diagnóstico de autismo mediante conectomas funcionales
(2021-07)Este proyecto ha sido creado con el objetivo de ayudar en el diagnóstico del Trastorno del Espectro Autista (TEA), tarea dificultada por la complejidad del mismo. Se estima que entre el 1 % y el 2 % de los niños lo padecen, ... -
Connecting concept lattices with bonds induced by external information.
Krídlo, Ondrej; López-Rodríguez, Domingo; Antoni, Lubomir; Elias, Peter; Krajci, Stanislav; Ojeda-Aciego, Manuel[et al.] (Elsevier, 2023)
In Formal Concept Analysis (FCA), L-bonds represent relationships between L-formal contexts. Choosing the appropriate bond between L-fuzzy formal contexts is an important challenge for its application in recommendation ... -
Detection of unfavourable urban areas with higher temperatures and lack of green spaces using satellite imagery in sixteen Spanish cities
Rodríguez-Gómez, Francisco; Fernández Cañero, Rafael; Pérez, Gabriel; Del-Campo-Ávila, José; López-Rodríguez, Domingo; Pérez-Urrestarazu, Luis[et al.] (Elsevier, 2022-12)
This paper seeks to identify the most unfavourable areas of a city in terms of high temperatures and the absence of green infrastructure. An automatic methodology based on remote sensing and data analysis has been developed ... -
fcaR, Formal Concept Analysis with R.
Cordero-Ortega, Pablo; Enciso-García-Oliveros, Manuel; López-Rodríguez, Domingo; Mora-Bonilla, Ángel (The R Foundation, 2022)
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 ... -
Fuzzy algebras of concepts
Ojeda Hernández, Manuel; López-Rodríguez, Domingo; Cordero-Ortega, Pablo (MDPI, 2023-03-26)
Preconcepts are basic units of knowledge that form the basis of formal concepts in formal concept analysis (FCA). This paper investigates the relations among different kinds of preconcepts, such as protoconcepts, meet and ... -
Fuzzy time series analysis: Expanding the scope with fuzzy numbers
Bello, Hugo J.; Ojeda Hernández, Manuel; López-Rodríguez, Domingo; Bejines-López, Carlos (Elsevier, 2025-02-21)
This article delves into the process of fuzzifying time series, which entails converting a conventional time series into a time-indexed sequence of fuzzy numbers. The focus lies on the well-established practice of fuzzifying ... -
Herramientas online para ayudar a los estudiantes en las asignaturas de matemáticas
(2022-09)En estos últimos años, hemos sido testigos de cómo ha incrementado la necesidad de disponer de material online para facilitar y complementar el aprendizaje, sobre todo debido a la pandemia que hemos vivido, provocando ... -
Lexicon-based sentiment analysis in texts using Formal Concept Analysis
Ojeda Hernández, Manuel; López-Rodríguez, Domingo; Mora, Angel (Elsevier, 2023)
In this paper, we present a novel approach for sentiment analysis that uses Formal Concept Analysis (FCA) to create dictionaries for classification. Unlike other methods that rely on pre-defined lexicons, our approach ... -
Lexicon-based sentiment analysis in texts using Formal Concept Analysis.
Ojeda Hernández, Manuel; López-Rodríguez, Domingo; Mora-Bonilla, Ángel (Elsevier, 2023-02-03)
In this paper, we present a novel approach for sentiment analysis that uses Formal Concept Analysis (FCA) to create dictionaries for classification. Unlike other methods that rely on pre-defined lexicons, our approach ... -
Optimización de algoritmos de fca en R usando el lenguaje de programación C++
(2022-09)Este trabajo de fin de grado se centra en el paquete fcaR, creado para el lenguaje de programación R, el cual implementa los principales métodos y funciones del Análisis de Conceptos Formales. Este es un paradigma ... -
Regression of the Rician Noise Level in 3D Magnetic Resonance Images from the Distribution of the First Significant Digit.
Maza-Quiroga, Rosa; Thurnhofer-Hemsi, Karl; López-Rodríguez, Domingo; López-Rubio, Ezequiel (MDPI, 2023-12-13)
This paper investigates the distribution characteristics of Fourier, discrete cosine, and discrete sine transform coefficients in T1 MRI images. The study reveals their adherence to Benford’s law, characterized by a ... -
Rician noise estimation for 3D Magnetic Resonance Images based on Benford's Law.
Maza Quiroga, Rosa María; Thurnhofer-Hemsi, Karl; López-Rodríguez, Domingo; López-Rubio, Ezequiel (Springer Nature, 2021)
In this paper, a novel method to estimate the level of Rician noise in magnetic resonance images is presented. We hypothesize that noiseless images follow Benford's law, that is, the probability distribution of the first ... -
URSUS_LST: URban SUStainability intelligent system for predicting the impact of urban green infrastructure on land surface temperatures
Rodríguez-Gómez, Francisco; Del-Campo-Ávila, José; Pérez-Urrestarazu, Luis; López-Rodríguez, Domingo (Elsevier, 2025)
Mitigating Urban Heat Island (UHI) effects has become a challenge to improve urban sustainability. The simulation tool URSUS_LST has been developed to allow urban planners to estimate how the addition of different green ... -
URSUS_UHI: URban SUStainability software for detection of unfavourable areas due to the Urban Heat Island effect
Rodríguez-Gómez, Francisco; Del-Campo-Ávila, José; López-Rodríguez, Domingo; Pérez-Urrestarazu, Luis (Elsevier, 2025)
Identifying the most unfavourable areas of cities, in terms of high temperatures and lack of vegetation, can help to improve urban sustainability and combat climate change. URSUS_UHI is a software that could help make ...