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Listar por autor "Paluzo Hidalgo, Eduardo"
Mostrando ítems 1-20 de 25
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Artículo
A Survey of Vectorization Methods in Topological Data Analysis
Ali, Dashti; Asaad, Aras; Jiménez Rodríguez, María José; Nanda, Vidit; Paluzo Hidalgo, Eduardo; Soriano Trigueros, Manuel (IEEE Computer Society, 2023-12)Attempts to incorporate topological information in supervised learning tasks have resulted in the creation of several ...
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Trabajo Fin de Máster
Análisis topológico de datos: aplicación al reconocimiento de emociones
Aguirre Carrazana, Guilermo (2020-06-01)Emotion recognition consists of a series of processes to detect human emotions from facial human expressions. Humans ...
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Artículo
Approximating lower-star persistence via 2D combinatorial map simplification
Damiand, Guillaume; Paluzo Hidalgo, Eduardo; Slechta, Ryan; González Díaz, Rocío (Elsevier, 2020)Filtration simplification consists of simplifying a given filtration while simultaneously controlling the perturbation in ...
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Trabajo Fin de Grado
Una aproximación matemática a la Inteligencia Artificial Explicable
Barrera Vicent, Aurelio (2023)Local InterpretableModel-Agnostic Explanations (LIME) is awell-known approach to provide local interpretability to Machine ...
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Tesis Doctoral
Computational topology on neural networks: from the data to the model
Paluzo Hidalgo, Eduardo (2021)Machine learning is drawn from a dataset that needs to be explained. Following this aim, a model is described to make ...
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Artículo
Emotion recognition in talking-face videos using persistent entropy and neural networks
Paluzo Hidalgo, Eduardo; González Díaz, Rocío; Aguirre Carrazana, Guilermo (American Institute of Mathematical Sciences (AIMS), 2022)The automatic recognition of a person’s emotional state has become a very active research field that involves scientists ...
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Trabajo Fin de Grado
Estudio del conocimiento actual en la compresión de datos para el aprendizaje automático
Peralta Egea, Ricardo (2023)En este trabajo fin de grado se estudian tantos los métodos actuales como el contexto en el ámbito de empresas, investigaciones ...
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Ponencia
Euler Well-Composedness
Boutry, Nicolas; González Díaz, Rocío; Jiménez Rodríguez, María José; Paluzo Hidalgo, Eduardo (Springer, 2020)In this paper, we de ne a new avour of well-composedness, called Euler well-composedness, in the general setting of ...
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Artículo
Jugueteando con grafos
Núñez Santiago, Rocío; Núñez Valdés, Juan; Paluzo Hidalgo, Eduardo; Salguero Quirós, Elena (Federación Iberoamericana de Sociedades de Educación Matemática, 2016-06)En este artículo se resuelven una serie de problemas extraídos de diferentes situaciones de la vida real con ayuda de ...
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Trabajo Fin de Grado
Lógica de primer orden en Haskell
Paluzo Hidalgo, Eduardo (2017-06)This final degree project consists in the implementation of First Order Logic theory and algorithms in Haskell, a functional ...
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Artículo
Neural-Network-Based Curve Fitting Using Totally Positive Rational Bases
González Díaz, Rocío; Mainardes, Emerson; Paluzo Hidalgo, Eduardo; Rubio Serrano, Beatriz (MDPI, 2020-12-10)This paper proposes a method for learning the process of curve fitting through a general class of totally positive rational ...
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Artículo
Optimizing the Simplicial-Map Neural Network Architecture
Paluzo Hidalgo, Eduardo; González Díaz, Rocío; Gutiérrez Naranjo, Miguel Ángel; Heras, Jónathan (MDPI, 2021)Simplicial-map neural networks are a recent neural network architecture induced by simplicial maps defined between ...
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Trabajo Fin de Máster
Predicción de Aristas para Data Augmentation en Problemas de Clasificación de Nodos con Graph Neural Networks
Carmona López, Gonzalo (2022-06-01)En este trabajo, repasamos detalladamente el planteamiento de un problema de aprendizaje supervisado en general, sobre ...
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Artículo
Representative datasets for neural networks
González Díaz, Rocío; Paluzo Hidalgo, Eduardo; Gutiérrez Naranjo, Miguel Ángel (Elsevier, 2018)Neural networks present big popularity and success in many fields. The large training time process problem is a very ...
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Artículo
Representative Datasets: The Perceptron Case
González Díaz, Rocío; Gutiérrez Naranjo, Miguel Ángel; Paluzo Hidalgo, Eduardo (Cornell University, 2019)One of the main drawbacks of the practical use of neural networks is the long time needed in the training process. Such ...
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Artículo
Simplicial-Map Neural Networks Robust to Adversarial Examples
Paluzo Hidalgo, Eduardo; González Díaz, Rocío; Gutiérrez Naranjo, Miguel Ángel; Heras, Jónathan (MDPI [Commercial Publisher], 2021-01-15)Broadly speaking, an adversarial example against a classification model occurs when a small perturbation on an input data ...
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Artículo
Strong Euler well-composedness
Boutry, Nicolas; González Díaz, Rocío; Jiménez Rodríguez, María José; Paluzo Hidalgo, Eduardo (Springer, 2021)In this paper, we define a new flavour of well-composedness, called strong Euler well composedness. In the general setting ...
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Ponencia
The metric-aware kernel-width choice for LIME
Barrera Vicent, Aurelio; Paluzo Hidalgo, Eduardo; Gutiérrez Naranjo, Miguel Ángel (CEUR-WS, 2023)Local Interpretable Model-Agnostic Explanations (LIME) are a well-known approach to provide local interpretability to ...
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Artículo
Topology-based representative datasets to reduce neural network training resources
González Díaz, Rocío; Gutiérrez Naranjo, Miguel Ángel; Paluzo Hidalgo, Eduardo (Springer, 2022)One of the main drawbacks of the practical use of neural networks is the long time required in the training process. Such ...
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Artículo
Towards a Philological Metric through a Topological Data Analysis Approach
Paluzo Hidalgo, Eduardo; González Díaz, Rocío; Gutiérrez Naranjo, Miguel Ángel (Cornell University, 2019)The canon of the baroque Spanish literature has been thoroughly studied with philological techniques. The major representatives ...