Dynamic model of the relationships between technology and employment. - Amalia Luque; Agustín Pablo Consegliere Castilla; Teodoro Alamo (ECC, 2009)

On the sample complexity of randomized approaches to the analysis and design under uncertainty. - Teodoro Alamo; Roberto Tempo; Amalia Luque (ACC, 2010)

Modeling of a hybrid renewable/fossil hot water production system. - Amalia Luque; Teodoro Alamo Cantarero; Manuel Ruiz Arahal; Daniel Limón Marruedo; Agustín Pablo Consegliere Castilla (ETFA, 2010)

Randomized control design through probabilistic validation. - Teodoro Alamo; Amalia Luque; Daniel R. Ramírez 001; Roberto Tempo (ACC, 2012)

The Sample Complexity of Randomized Methods for Analysis and Design of Uncertain Systems - Teodoro Alamo; Roberto Tempo; Amalia Luque; Daniel R. Ramírez 001 (CoRR, 2013)

Randomized methods for design of uncertain systems: Sample complexity and sequential algorithms. - Teodoro Alamo; Roberto Tempo; Amalia Luque; Daniel R. Ramírez 001 (Autom., 2015)

Animal Sound Classification using Sequential Classifiers. - Javier Romero; Amalia Luque; Alejandro Carrasco (BIOSIGNALS, 2017)

Comparing Qualitative Descriptors with Different Granularities and Reference Systems. - Zoe Falomir; Lledó Museros Cabedo; Ismael Sanz; Amalia Luque; Luis González Abril (CCIA, 2017)

MFCC vs. MPEG-7 Frame Description for Anuran Sound Classification. - Amalia Luque; Jesús Gómez-Bellido; Alejandro Carrasco; Zoe Falomir; Luis González Abril (CCIA, 2017)

Phase Shadows: An Enhanced Representation of Nonlinear Dynamic Systems. - Amalia Luque; Julio Barbancho; Javier Fernández de Cañete; Antonio Córdoba (Int. J. Bifurc. Chaos, 2017)

Distributed lightning monitoring: an affordable proposal. - Amalia Luque; Fernando Aguayo; Juan Ramón Lama (Multim. Tools Appl., 2017)

Evaluation of the Processing Times in Anuran Sound Classification. - Amalia Luque; Jesús Gómez-Bellido; Alejandro Carrasco; Enrique Personal; Carlos León 001 (Wirel. Commun. Mob. Comput., 2017)

A Proposal for a New Way of Classifying Network Security Metrics: Study of the Information Collected through a Honeypot. - Alejandro Carrasco; Jorge Ropero; Paulino Ruiz-de-Clavijo; Jaime Benjumea; Amalia Luque (QRS Companion, 2018)

Non-sequential automatic classification of anuran sounds for the estimation of climate-change indicators. - Amalia Luque; Javier Romero-Lemos; Alejandro Carrasco; Julio Barbancho (Expert Syst. Appl., 2018)

Low cost multimedia sensor networks for obtaining lighting maps. - Amalia Luque; M. Estela Peralta; Juan Ramón Lama; Francisco Aguayo (Multim. Tools Appl., 2018)

Optimal Representation of Anuran Call Spectrum in Environmental Monitoring Systems Using Wireless Sensor Networks. - Amalia Luque; Jesús Gómez-Bellido; Alejandro Carrasco; Julio Barbancho (Sensors, 2018)

Improving Classification Algorithms by Considering Score Series in Wireless Acoustic Sensor Networks. - Amalia Luque; Javier Romero-Lemos; Alejandro Carrasco; Julio Barbancho (Sensors, 2018)

The impact of class imbalance in classification performance metrics based on the binary confusion matrix. - Amalia Luque; Alejandro Carrasco; Alejandro Martín; Ana de las Heras (Pattern Recognit., 2019)

Exploring Symmetry of Binary Classification Performance Metrics. - Amalia Luque; Alejandro Carrasco; Alejandro Martín; Juan Ramón Lama (Symmetry, 2019)

Exploiting the Symmetry of Integral Transforms for Featuring Anuran Calls. - Amalia Luque; Jesús Gómez-Bellido; Alejandro Carrasco; Julio Barbancho (Symmetry, 2019)

ADAPTS: An Intelligent Sustainable Conceptual Framework for Engineering Projects. - Amalia Luque; Ana de las Heras; María Jesús Ávila-Gutiérrez; Francisco Zamora-Polo (Sensors, 2020)

Visualizing Classification Results: Confusion Star and Confusion Gear. - Amalia Luque; Mirko Mazzoleni; Alejandro Carrasco; Antonio Ferramosca (IEEE Access, 2022)

Total Design in the Design and Development Process of a Remotely Operated Vehicle (ROV) with Particular Consideration of Sensorization. - Teresa Ramos; Antonio Córdoba; Amalia Luque; Ana de las Heras (Sensors, 2022)

Determining the Importance of Physicochemical Properties in the Perceived Quality of Wines. - Amalia Luque; Mirko Mazzoleni; Francisco Zamora-Polo; Antonio Ferramosca; Juan Ramón Lama; Fabio Previdi (IEEE Access, 2023)

The Role of Kano Model in Revealing the Most Significant Physicochemical Properties of Wines. - Amalia Luque; Mirko Mazzoleni; Ana de las Heras; Antonio Ferramosca; Fabio Previdi; Alejandro Carrasco (IEEE Access, 2024)

Use of artificial intelligence techniques in characterization of vibration signals for application in agri-food engineering. - Amalia Luque; Daniel Campos Olivares; Mirko Mazzoleni; Antonio Ferramosca; Fabio Previdi; Alejandro Carrasco (Appl. Intell., 2025)