Joaquín Borrego-Dí­az

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All published works
Action Title Year Authors
+ PDF Chat On the Soundness of XAI in Prognostics and Health Management (PHM) 2023 David Solís-Martín
Juan Galán-Páez
Joaquín Borrego-Dí­az
+ On the Soundness of XAI in Prognostics and Health Management (PHM) 2023 David Solís-Martín
Juan Galán-Páez
Joaquín Borrego-Dí­az
+ On the Soundness of XAI in Prognostics and Health Management (PHM) 2023 David Solís-Martín
Juan Galán-Páez
Joaquín Borrego-Dí­az
+ D3A-TS: Denoising-Driven Data Augmentation in Time Series 2023 David Solís-Martín
Juan Galán-Páez
Joaquín Borrego-Dí­az
+ PDF Chat D3a-Ts: Denoising-Driven Data Augmentation in Time Series 2023 David Solís-Martín
Juan Galán-Páez
Joaquín Borrego-Dí­az
+ PDF Chat A stacked deep convolutional neural network to predict the remaining useful life of a turbofan engine 2021 David Solís-Martín
Juan Galán-Páez
Joaquín Borrego-Dí­az
+ Algebraic combinatorics in bounded induction 2020 Joaquín Borrego‐Díaz
+ PDF Chat Logic Negation with Spiking Neural P Systems 2020 Daniel Rodríguez-Chavarría
Miguel Á. Gutiérrez-Naranjo
Joaquín Borrego-Dí­az
+ Logic Negation with Spiking Neural P Systems 2018 Daniel Rodríguez-Chavarría
Miguel Á. Gutiérrez-Naranjo
Joaquín Borrego-Dí­az
+ A logic-algebraic tool for reasoning with Knowledge-Based Systems 2018 José A. Alonso-Jiménez
Gonzalo A. Aranda-Corral
Joaquín Borrego-Dí­az
M. Magdalena Fernández-Lebrón
María-José Hidalgo
+ A logic-algebraic tool for reasoning with Knowledge-Based Systems 2018 José A. Alonso-Jiménez
Gonzalo A. Aranda-Corral
Joaquín Borrego-Dí­az
M. Magdalena Fernández-Lebrón
María-José Hidalgo
+ Logic Negation with Spiking Neural P Systems 2018 Daniel Rodríguez-Chavarría
Miguel Á. Gutiérrez-Naranjo
Joaquín Borrego-Dí­az
+ A logic-algebraic tool for reasoning with Knowledge-Based Systems 2018 José A. Alonso-Jiménez
Gonzalo A. Aranda-Corral
Joaquín Borrego-Dí­az
M. Magdalena Fernández-Lebrón
María-José Hidalgo
+ Discovering New Sentiments from the Social Web 2014 Juan Galán-Páez
Joaquín Borrego-Dí­az
+ Selecting Attributes for Sport Forecasting using Formal Concept Analysis 2011 Gonzalo A. Aranda-Corral
Joaquín Borrego-Dí­az
Juan Galán-Páez
+ Selecting Attributes for Sport Forecasting using Formal Concept Analysis 2011 Gonzalo A. Aranda-Corral
Joaquín Borrego-Dí­az
Juan Galán-Páez
+ End and cofinal extensions in arithmetic 1997 Joaquín Borrego‐Díaz
Mario J. Pérez–Jiménez
+ On Overspill Principles and Axiom Schemes for Bounded Formulas 1996 Joaquín Borrego‐Díaz
A. Fernández‐Margarit
Mario J. Pérez–Jiménez
+ Extensiones cofinales de modelos de la Aritmética 1993 Alejandro Fernández Margarit
Mario J. Pérez–Jiménez
Joaquín Borrego‐Díaz
Common Coauthors
Commonly Cited References
Action Title Year Authors # of times referenced
+ PDF Chat Evaluating the Visualization of What a Deep Neural Network Has Learned 2016 Wojciech Samek
Alexander Binder
Grégoire Montavon
Sebastian Lapuschkin
Klaus‐Robert Müller
4
+ PDF Chat Explaining Explanations: An Overview of Interpretability of Machine Learning 2018 Leilani H. Gilpin
David Bau
Ben Z. Yuan
Ayesha Bajwa
Michael A. Specter
Lalana Kagal
3
+ PDF Chat Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization 2017 Ramprasaath R. Selvaraju
Michael Cogswell
Abhishek Das
Ramakrishna Vedantam
Devi Parikh
Dhruv Batra
2
+ A Unified Approach to Interpreting Model Predictions 2017 Scott Lundberg
Su‐In Lee
2
+ PDF Chat Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI 2019 Alejandro Barredo Arrieta
Natalia Díaz-Rodríguez
Javier Del Ser
Adrien Bennetot
Siham Tabik
Alberto Barbado
Salvador García
Sergio Gil-López
Daniel Molina
Richard Benjamins
2
+ PDF Chat Learning Deep Features for Discriminative Localization 2016 Bolei Zhou
Aditya Khosla
Àgata Lapedriza
Aude Oliva
Antonio Torralba
2
+ PDF Chat Reactive, Proactive, and Inductive Agents: An Evolutionary Path for Biological and Artificial Spiking Networks 2020 Lana Sinapayen
Atsushi Masumori
Takashi Ikegami
2
+ PDF Chat Towards A Rigorous Evaluation Of XAI Methods On Time Series 2019 Udo Schlegel
Hiba Arnout
Mennatallah El‐Assady
Daniela Oelke
Daniel A. Keim
2
+ Explaining Explanations: An Approach to Evaluating Interpretability of Machine Learning 2018 Leilani H. Gilpin
David Bau
Ben Z. Yuan
Ayesha Bajwa
Michael A. Specter
Lalana Kagal
2
+ Metamathematics of First-Order Arithmetic 1993 Petr Hájek
Pavel Pudlák
2
+ Bounded existential induction 1985 George Wilmers
2
+ Diophantine Induction 1990 Richard Kaye
2
+ Overspill and fragments of arithmetic 1989 C. Dimitracopoulos
2
+ PDF Chat Selective review of offline change point detection methods 2019 Charles Truong
Laurent Oudre
Nicolas Vayatis
2
+ PDF Chat European Union Regulations on Algorithmic Decision Making and a “Right to Explanation” 2017 Bryce Goodman
Seth Flaxman
2
+ Explaining nonlinear classification decisions with deep Taylor decomposition 2016 Grégoire Montavon
Sebastian Lapuschkin
Alexander Binder
Wojciech Samek
Klaus‐Robert Müller
2
+ Neural-Symbolic Learning and Reasoning: A Survey and Interpretation 2017 Tarek R. Besold
Artur S. d’Avila Garcez
Sebastian Bader
Howard Bowman
Pedro Domingos
Pascal Hitzler
Kai-Uwe Küehnberger
Luís C. Lamb
Daniel Lowd
Priscila Machado Vieira Lima
2
+ On end extensions of models of subsystems of peano arithmetic 2001 C. Dimitracopoulos
1
+ PDF Chat On embedding models of arithmetic of cardinality \aleph<sub>1</sub>into reduced powers 2003 Juliette Kennedy
Saharon Shelah
1
+ On the strength of Ramsey's theorem without Σ<sub>1</sub>‐induction 2013 Keita Yokoyama
1
+ PDF Chat The primes contain arbitrarily long arithmetic progressions 2008 Benjamin Green
Terence Tao
1
+ Hasse–Schmidt derivations and coefficient fields in positive characteristics 2003 M. Magdalena Fernández-Lebrón
Luis Narváez Macarro
1
+ Maximum Schemes in Arithmetic 1994 A. Fernández‐Margarit
Mario J. Pérez–Jiménez
1
+ PDF Chat The arithmetic of cuts in models of arithmetic 2013 Richard Kaye
1
+ PDF Chat On the Practical use of Variable Elimination in Constraint Optimization Problems: 'Still-life' as a Case Study 2005 Javier Larrosa
Enric Morancho
D. Niso
1
+ PDF Chat Quadratic residues and $x^3+y^3=z^3$ in models of ${\rm IE}_1$ and ${\rm IE}_2$. 1993 Stuart T. Smith
1
+ Open Problems in Topology 1990 Jan van Mill
G. M. Reed
1
+ L'arithmétique ouverte et ses modèles non-standards 1991 Sedki Boughattas
1
+ PDF Chat Division by zero 2016 Emil Jeřábek
1
+ On principles between ∑1- and ∑2-induction, and monotone enumerations 2016 Alexander Kreuzer
Keita Yokoyama
1
+ The Erdős-Selfridge and the Schinzel-Tijdeman theorems hold in $PA^-$ 2014 Victor Pambuccian
1
+ PDF Chat On the value group of a model of Peano Arithmetic 2016 Merlin Carl
Paola D’Aquino
Salma Kuhlmann
1
+ “Why Should I Trust You?”: Explaining the Predictions of Any Classifier 2016 Marco Ribeiro
Sameer Singh
Carlos Guestrin
1
+ Unifying the model theory of first-order and second-order arithmetic via <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si1.gif" overflow="scroll"><mml:msubsup><mml:mrow><mml:mi mathvariant="normal">WKL</mml:mi></mml:mrow><mml:mrow><mml:mn>0</mml:mn></mml:mrow><mml:mrow><mml:mo>⁎</mml:mo></mml:mrow></mml:msubsup></mml:math> 2017 Ali Enayat
Tin Lok Wong
1
+ Models OF Peano Arithmetic (Oxford Logic Guides 15) 1993 George Wilmers
1
+ Shepherdson's theorems for fragments of open induction 2017 Jana Glivická
Petr Glivický
1
+ Towards A Rigorous Science of Interpretable Machine Learning 2017 Finale Doshi‐Velez
Been Kim
1
+ Some observations on the logical foundations of inductive theorem proving 2017 Stefan Hetzl
Tin Lok Wong
1
+ Explainable Artificial Intelligence: Understanding, Visualizing and Interpreting Deep Learning Models 2017 Wojciech Samek
Thomas Wiegand
Klaus‐Robert Müller
1
+ PDF Chat Nonstandard Methods in Ramsey Theory and Combinatorial Number Theory 2019 Mauro Di Nasso
Isaac Goldbring
Martino Lupini
1
+ PDF Chat TSViz: Demystification of Deep Learning Models for Time-Series Analysis 2019 Shoaib Ahmed Siddiqui
Dominique Mercier
Mohsin Munir
Andreas Dengel
Sheraz Ahmed
1
+ Tune: A Research Platform for Distributed Model Selection and Training 2018 Richard Liaw
Eric Liang
Robert Nishihara
Philipp Moritz
Joseph E. Gonzalez
Ion Stoica
1
+ The Bohr compactification of an abelian group as a quotient of its Stone-\v{C}ech compactification 2018 Pavol Zlatoš
1
+ Shedding Light on Black Box Machine Learning Algorithms: Development of an Axiomatic Framework to Assess the Quality of Methods that Explain Individual Predictions 2018 Milo Honegger
1
+ PDF Chat Almost Arithmetic Progressions in the Primes and Other Large Sets 2019 Jonathan M. Fraser
1
+ TensorFlow: A system for large-scale machine learning 2016 Martı́n Abadi
Paul Barham
Jianmin Chen
Zhifeng Chen
Andy Davis
Jay B. Dean
Matthieu Devin
Sanjay Ghemawat
Geoffrey Irving
Michael Isard
1
+ Divisibility in the Stone-Čech compactification 2015 Boris Šobot
1
+ Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps 2013 Karen Simonyan
Andrea Vedaldi
Andrew Zisserman
1
+ PDF Chat Redundancy, Deduction Schemes, and Minimum-Size Bases for Association Rules 2010 José L. Balcázar
1
+ PDF Chat Variable Forgetting in Reasoning about Knowledge 2009 Kaile Su
Abdul Sattar
Guilin Lv
Ying Zhang
1