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Machine learning model from a Spanish cohort for prediction of SARS-COV-2 mortality risk and critical patients

Scientific reports, 2022-04, Vol.12 (1), p.5723-5723, Article 5723

2022

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Nuevos documentos sobre algunos pintores toledanos del primer tercio del siglo XVII: Juan Bautista Maíno, Jorge Manuel Theotocópuli, Mateo Serrano y Alejandro Loarte

Archivo español de arte, 2022-06, Vol.95 (378), p.178-185

Del Pozo Maté, Alejandro

2022

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Pedro Orrente: New Connections with Tintoretto and Two Unpublished Drawings

Master drawings, 2021-12, Vol.59 (4), p.441

Maté, Alejandro del Pozo

2021

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Fraud Audit Based on Visual Analysis: A Process Mining Approach

Applied sciences, 2021, Vol.11 (11), p.4751

2021

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Diagnosis and prognosis of mental disorders by means of EEG and deep learning: a systematic mapping study

The Artificial intelligence review, 2022-02, Vol.55 (2), p.1209-1251

2022

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Beyond TPC-DS, a benchmark for Big Data OLAP systems (BDOLAP-Bench)

Future generation computer systems, 2022-07, Vol.132, p.136-151

2022

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Application of Data Mining techniques to identify relevant Key Performance Indicators

Computer standards and interfaces, 2017-11, Vol.54, p.76-85

2017

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An extension of iStar for Machine Learning requirements by following the PRISE methodology

Computer standards and interfaces, 2024-03, Vol.88, p.103806, Article 103806

2024

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Specification and derivation of key performance indicators for business analytics: A semantic approach

Data & knowledge engineering, 2017-03, Vol.108, p.30-49

2017

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Goal-oriented requirements engineering: an extended systematic mapping study

Requirements engineering, 2019-06, Vol.24 (2), p.133-160

2019

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A New Big Data Benchmark for OLAP Cube Design Using Data Pre-Aggregation Techniques

Applied sciences, 2020-12, Vol.10 (23), p.8674

2020

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Fostering Sustainability through Visualization Techniques for Real-Time IoT Data: A Case Study Based on Gas Turbines for Electricity Production

Sensors (Basel, Switzerland), 2020-08, Vol.20 (16), p.4556

2020

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Improving Sustainability of Smart Cities through Visualization Techniques for Big Data from IoT Devices

Sustainability, 2020-07, Vol.12 (14), p.5595

2020

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Solar Energy Prediction Model Based on Artificial Neural Networks and Open Data

Sustainability, 2020-09, Vol.12 (17), p.6915

2020

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Improving security in NoSQL document databases through model-driven modernization

Knowledge and information systems, 2021-08, Vol.63 (8), p.2209-2230

2021

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Application of Data Mining techniques to identify relevant Key Performance Indicators

Computer standards and interfaces, 2017-02, Vol.50, p.55-64

2017

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A methodology to automatically translate user requirements into visualizations: Experimental validation

Information and software technology, 2021-08, Vol.136, p.106592, Article 106592

2021

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Key Performance Indicator Elicitation and Selection Through Conceptual Modelling

Conceptual Modeling, p.73-80

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Current state of Linked Data in digital libraries

Journal of information science, 2016-04, Vol.42 (2), p.117-127

2016

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Can Goal Reasoning Techniques Be Used for Strategic Decision-Making?

Conceptual Modeling, p.530-543

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Using Multidimensional Concepts for Detecting Problematic Sub-KPIs in Analysis Systems

Advances in Conceptual Modeling, p.164-173

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A trace metamodel proposal based on the model driven architecture framework for the traceability of user requirements in data warehouses

Information systems (Oxford), 2012-12, Vol.37 (8), p.753-766

2012

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A hybrid integrated architecture for energy consumption prediction

Future generation computer systems, 2016-10, Vol.63, p.131-147

2016

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Ontology-driven approach for KPI meta-modelling, selection and reasoning

International journal of information management, 2021-06, Vol.58, p.102018, Article 102018

2021

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An ontology-based secure design framework for graph-based databases

Computer standards and interfaces, 2024-03, Vol.88, p.103801, Article 103801

2024

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Machine learning model from a Spanish cohort for prediction of SARS-COV-2 mortality risk and critical patients

Nuevos documentos sobre algunos pintores toledanos del primer tercio del siglo XVII: Juan Bautista Maíno, Jorge Manuel Theotocópuli, Mateo Serrano y Alejandro Loarte

Pedro Orrente: New Connections with Tintoretto and Two Unpublished Drawings

Fraud Audit Based on Visual Analysis: A Process Mining Approach

Diagnosis and prognosis of mental disorders by means of EEG and deep learning: a systematic mapping study

Beyond TPC-DS, a benchmark for Big Data OLAP systems (BDOLAP-Bench)

Application of Data Mining techniques to identify relevant Key Performance Indicators

An extension of iStar for Machine Learning requirements by following the PRISE methodology

Specification and derivation of key performance indicators for business analytics: A semantic approach

Goal-oriented requirements engineering: an extended systematic mapping study

A New Big Data Benchmark for OLAP Cube Design Using Data Pre-Aggregation Techniques

Fostering Sustainability through Visualization Techniques for Real-Time IoT Data: A Case Study Based on Gas Turbines for Electricity Production

Improving Sustainability of Smart Cities through Visualization Techniques for Big Data from IoT Devices

Solar Energy Prediction Model Based on Artificial Neural Networks and Open Data

Improving security in NoSQL document databases through model-driven modernization

Application of Data Mining techniques to identify relevant Key Performance Indicators

A methodology to automatically translate user requirements into visualizations: Experimental validation

Key Performance Indicator Elicitation and Selection Through Conceptual Modelling

Current state of Linked Data in digital libraries

Can Goal Reasoning Techniques Be Used for Strategic Decision-Making?

Using Multidimensional Concepts for Detecting Problematic Sub-KPIs in Analysis Systems

A trace metamodel proposal based on the model driven architecture framework for the traceability of user requirements in data warehouses

A hybrid integrated architecture for energy consumption prediction

Ontology-driven approach for KPI meta-modelling, selection and reasoning

An ontology-based secure design framework for graph-based databases

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