Luis Miralles-Pechuán
Luis Miralles-Pechuán
Postdoc Level II CeADAR, UCD, Ireland
Verified email at ucd.ie - Homepage
Title
Cited by
Cited by
Year
Multi-objective evolutionary feature selection for online sales forecasting
F Jiménez, G Sánchez, JM García, G Sciavicco, L Miralles
Neurocomputing 234, 75-92, 2017
472017
A novel wearable sensor-based human activity recognition approach using artificial hydrocarbon networks
H Ponce, MDL Martínez-Villaseñor, L Miralles-Pechuán
Sensors 16 (7), 1033, 2016
332016
A flexible approach for human activity recognition using artificial hydrocarbon networks
H Ponce, L Miralles-Pechuán, MDL Martínez-Villaseñor
Sensors 16 (11), 1715, 2016
292016
A novel methodology for optimizing display advertising campaigns using genetic algorithms
L Miralles-Pechuán, H Ponce, L Martínez-Villaseñor
Electronic Commerce Research and Applications 27, 39-51, 2018
182018
A methodology based on Deep Learning for advert value calculation in CPM, CPC and CPA networks
L Miralles-Pechuán, D Rosso, F Jiménez, JM García
Soft Computing 21 (3), 651-665, 2017
152017
Artificial hydrocarbon networks for online sales prediction
H Ponce, L Miralles-Pechúan, M de Lourdes Martínez-Villaseñor
Mexican international conference on artificial intelligence, 498-508, 2015
102015
Comparative analysis of artificial hydrocarbon networks and data-driven approaches for human activity recognition
H Ponce, M de Lourdes Martínez-Villaseñor, L Miralles-Pechúan
International conference on ubiquitous computing and ambient intelligence …, 2015
72015
Online Advertising and the CPA Model: Challenges and Opportunities
L Miralles-Pechuán, EM Ballester, JMG Carrasco
International Journal of Engineering and Management Research 4 (3), 324-334, 2014
6*2014
Multi-Objective Evolutionary Rule-Based Classification with Categorical Data
F Jiménez, C Martínez, L Miralles-Pechuán, G Sánchez, G Sciavicco
Entropy 20 (9), 684, 2018
42018
Interoperability in electronic health records through the mediation of ubiquitous user model
ML Martínez-Villaseñor, L Miralles-Pechuan, M González-Mendoza
International Conference on Ubiquitous Computing and Ambient Intelligence …, 2016
22016
Reconocimiento de dígitos escritos a mano mediante métodos de tratamiento de imagen y modelos de clasificación
L Miralles-Pechuán, DR Pelayo, J Brieva
Research in Computing Science 93, 83-94, 2015
22015
Uso de ontologías para guiar el proceso de segmentacion de imagenes
LM Pechuán
febrero, 2007
22007
El nuevo sistema multimedia conocido como IMS que adoptarán las redes UMTS
LM Pechuán
línea]. Trabajo presentado en la asignatura Redes de Ordenadores, Curso 2005, 2004
22004
Comunicaciones Póster.-Bringing networks together to improve advertising performance
LJ Miralles Pechuán, J García Carrasco
II Jornadas Doctorales de la Universidad de Murcia, 2020
2020
A Deep Q-learning/Genetic Algorithms Based Novel Methodology For Optimizing Covid-19 Pandemic Government Actions
L Miralles-Pechuán, F Jiménez, H Ponce, L Martínez-Villaseñor
arXiv preprint arXiv:2005.07656, 2020
2020
Cutting Through the Emissions: Feature Selection from Electromagnetic Side-Channel Data for Activity Detection
A Sayakkara, L Miralles-Pechuán, NA Le-Khac, M Scanlon
Forensic Science International: Digital Investigation 32, 300927, 2020
2020
A 2020 perspective on “A novel methodology for optimizing display advertising campaigns using genetic algorithms”
L Miralles-Pechuán, H Ponce, L Martínez-Villaseñor
Electronic Commerce Research and Applications 40, 100953, 2020
2020
A 2020 perspective on “A novel methodology for optimizing display advertising campaigns using genetic algorithms”
HE Ponce Espinosa, MLG Martínez Villaseñor, LJ Miralles Pechuan
Elsevier BV, 2020
2020
Real-time Bidding campaigns optimization using attribute selection
L Miralles, MA Qureshi, B Mac Namee
arXiv preprint arXiv:1910.13292, 2019
2019
ZeLiC and ZeChipC: Time Series Interpolation Methods for Lebesgue or Event-based Sampling
M Bellucci, L Miralles, MA Qureshi, B Mac Namee
arXiv preprint arXiv:1906.03110, 2019
2019
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Articles 1–20