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Variational encoding approach for interpretable assessment of remaining useful life estimation

Reliability engineering & system safety, 2022-06, Vol.222, p.108353, Article 108353

2022

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Simplified models of remaining useful life based on stochastic orderings

Reliability engineering & system safety, 2023-09, Vol.237, p.109321, Article 109321

2023

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Stochastic dominance and statistical preference for random variables coupled by arbitrary copulas

International journal of approximate reasoning, 2024-03, Vol.166, p.109113, Article 109113

2024

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KEEL 3.0: An Open Source Software for Multi-Stage Analysis in Data Mining

International journal of computational intelligence systems, 2017, Vol.10 (1), p.1238-1249

2017

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Similarity and dissimilarity measures between fuzzy sets: A formal relational study

Information sciences, 2013-04, Vol.229, p.122-141

2013

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A note on “Similarity and dissimilarity measures between fuzzy sets: A formal relational study” and “Additive similarity and dissimilarity measures”

Fuzzy sets and systems, 2020-07, Vol.390, p.183-187

2020

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Assessment of the running resistance of a diesel passenger train using evolutionary bilevel algorithms and operational data

Engineering applications of artificial intelligence, 2021-10, Vol.105, p.104405, Article 104405

2021

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Modulating the phenotypic transition of vascular smooth muscle cells via LKB1, a new pharmacologic target to strike atherosclerosis?

International journal of cardiology, 2024-01, Vol.395, p.131427-131427, Article 131427

2024

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Additive similarity and dissimilarity measures

Fuzzy sets and systems, 2017-09, Vol.322, p.35-53

2017

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Learning human-understandable models for the health assessment of Li-ion batteries via Multi-Objective Genetic Programming

Engineering applications of artificial intelligence, 2019-11, Vol.86, p.1-10

2019

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Health assessment of LFP automotive batteries using a fractional-order neural network

Neurocomputing (Amsterdam), 2020-05, Vol.391, p.345-354

2020

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Physics-informed learning under epistemic uncertainty with an application to system health modeling

International journal of approximate reasoning, 2023-10, Vol.161, p.108988, Article 108988

2023

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Comments on “Learning from imprecise and fuzzy observations: Data disambiguation through generalized loss minimization” by Eyke Hüllermeier

International journal of approximate reasoning, 2014-10, Vol.55 (7), p.1583-1587

Sánchez, Luciano

2014

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Machine learning models, epistemic set-valued data and generalized loss functions: An encompassing approach

Information sciences, 2016-09, Vol.358-359, p.129-150

2016

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RUL-RVE: Interpretable assessment of Remaining Useful Life

Software impacts, 2022-08, Vol.13, p.100321, Article 100321

2022

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Genetic learning of fuzzy rules based on low quality data

Fuzzy sets and systems, 2009-09, Vol.160 (17), p.2524-2552

2009

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A class of Monotone Fuzzy rule-based Wiener systems with an application to Li-ion battery modelling

Engineering applications of artificial intelligence, 2017-09, Vol.64, p.367-377

2017

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Letter by Consuegra-Sánchez et al Regarding Article, “Magnesium-Based Resorbable Scaffold Versus Permanent Metallic Sirolimus-Eluting Stent in Patients With ST-Segment Elevation Myocardial Infarction: The MAGSTEMI Randomized Clinical Trial”

Circulation (New York, N.Y.), 2020-04, Vol.141 (15), p.e746-e747

2020

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Assessing the Health of LiFePO₄ Traction Batteries through Monotonic Echo State Networks

Sensors (Basel, Switzerland), 2017-12, Vol.18 (1), p.9

2017

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Multi-Objective Evolutionary Design of an Electric Vehicle Chassis

Sensors (Basel, Switzerland), 2020-06, Vol.20 (13), p.3633

2020

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Half of patients with type 2 diabetes mellitus are at very high cardiovascular risk according to the ESC/EASD: data from a large Mediterranean population

European journal of preventive cardiology, 2022-02, Vol.28 (18), p.e32-e34

2022

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Upper and lower probabilities induced by a fuzzy random variable

Fuzzy sets and systems, 2011-02, Vol.165 (1), p.80-102

2011

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Ex-post correction of pacemaker mode switch episodes in undersensed atrial fibrillation

Computers in biology and medicine, 2021-07, Vol.134, p.104480-104480, Article 104480

2021

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A framework for learning fuzzy rule-based models with epistemic set-valued data and generalized loss functions

International journal of approximate reasoning, 2018-01, Vol.92, p.321-339

2018

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An extension of the FURIA classification algorithm to low quality data through fuzzy rankings and its application to the early diagnosis of dyslexia

Neurocomputing (Amsterdam), 2016-02, Vol.176, p.60-71

2016

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Variational encoding approach for interpretable assessment of remaining useful life estimation

Simplified models of remaining useful life based on stochastic orderings

Stochastic dominance and statistical preference for random variables coupled by arbitrary copulas

KEEL 3.0: An Open Source Software for Multi-Stage Analysis in Data Mining

Similarity and dissimilarity measures between fuzzy sets: A formal relational study

A note on “Similarity and dissimilarity measures between fuzzy sets: A formal relational study” and “Additive similarity and dissimilarity measures”

Assessment of the running resistance of a diesel passenger train using evolutionary bilevel algorithms and operational data

Modulating the phenotypic transition of vascular smooth muscle cells via LKB1, a new pharmacologic target to strike atherosclerosis?

Additive similarity and dissimilarity measures

Learning human-understandable models for the health assessment of Li-ion batteries via Multi-Objective Genetic Programming

Health assessment of LFP automotive batteries using a fractional-order neural network

Physics-informed learning under epistemic uncertainty with an application to system health modeling

Comments on “Learning from imprecise and fuzzy observations: Data disambiguation through generalized loss minimization” by Eyke Hüllermeier

Machine learning models, epistemic set-valued data and generalized loss functions: An encompassing approach

RUL-RVE: Interpretable assessment of Remaining Useful Life

Genetic learning of fuzzy rules based on low quality data

A class of Monotone Fuzzy rule-based Wiener systems with an application to Li-ion battery modelling

Letter by Consuegra-Sánchez et al Regarding Article, “Magnesium-Based Resorbable Scaffold Versus Permanent Metallic Sirolimus-Eluting Stent in Patients With ST-Segment Elevation Myocardial Infarction: The MAGSTEMI Randomized Clinical Trial”

Assessing the Health of LiFePO₄ Traction Batteries through Monotonic Echo State Networks

Multi-Objective Evolutionary Design of an Electric Vehicle Chassis

Half of patients with type 2 diabetes mellitus are at very high cardiovascular risk according to the ESC/EASD: data from a large Mediterranean population

Upper and lower probabilities induced by a fuzzy random variable

Ex-post correction of pacemaker mode switch episodes in undersensed atrial fibrillation

A framework for learning fuzzy rule-based models with epistemic set-valued data and generalized loss functions

An extension of the FURIA classification algorithm to low quality data through fuzzy rankings and its application to the early diagnosis of dyslexia

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