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Luis Miralles-Pechuán
Luis Miralles-Pechuán
Grange Gorman. Technological University Dublin
Bestätigte E-Mail-Adresse bei tudublin.ie - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Multi-objective evolutionary feature selection for online sales forecasting
F Jiménez, G Sánchez, JM García, G Sciavicco, L Miralles
Neurocomputing 234, 75-92, 2017
1522017
A novel wearable sensor-based human activity recognition approach using artificial hydrocarbon networks
H Ponce, ML Martínez-Villaseñor, L Miralles-Pechuán
Sensors 16 (7), 1033, 2016
762016
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
642018
Applications of explainable AI for 6G: Technical aspects, use cases, and research challenges
S Wang, MA Qureshi, L Miralles-Pechuan, T Huynh-The, TR Gadekallu, ...
arXiv preprint arXiv:2112.04698, 2021
612021
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
462017
A methodology based on deep q-learning/genetic algorithms for optimizing covid-19 pandemic government actions
L Miralles-Pechuán, F Jiménez, H Ponce, L Martínez-Villaseñor
Proceedings of the 29th ACM international conference on information …, 2020
44*2020
A flexible approach for human activity recognition using artificial hydrocarbon networks
H Ponce, L Miralles-Pechuán, MDL Martínez-Villaseñor
Sensors 16 (11), 1715, 2016
442016
An overview of deep learning in industry
Q Le, L Miralles-Pechuán, S Kulkarni, J Su, O Boydell
Data Analytics and AI, 65-98, 2020
312020
A Survey on Outdoor Navigation Applications for People With Visual Impairments
FE El-taher, L Miralles-Pechuán, J Courtney, K Millar, C Smith, ...
IEEE Access, 2023
172023
Artificial hydrocarbon networks for online sales prediction
H Ponce, L Miralles-Pechúan, M de Lourdes Martínez-Villaseñor
Advances in Artificial Intelligence and Its Applications: 14th Mexican …, 2015
152015
Forecasting COVID‐19 cases using dynamic time warping and incremental machine learning methods
L Miralles‐Pechuán, A Kumar, AL Suárez‐Cetrulo
Expert Systems, e13237, 2023
122023
Identifying Internet of Things software activities using deep learning-based electromagnetic side-channel analysis
Q Le, L Miralles-Pechuán, A Sayakkara, NA Le-Khac, M Scanlon
Forensic Science International: Digital Investigation 39, 301308, 2021
122021
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
122020
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
112018
Explainable AI for 6G Use Cases: Technical Aspects and Research Challenges
S Wang, MA Qureshi, L Miralles-Pechuán, T Huynh-The, TR Gadekallu, ...
IEEE Open Journal of the Communications Society, 2024
102024
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
102020
Multivariate feature ranking with high-dimensional data for classification tasks
F Jiménez, G Sánchez, J Palma, L Miralles-Pechuán, JA Botía
IEEE Access 10, 60421-60437, 2022
92022
Machine learning approach for pre-eclampsia risk factors association
A Martínez-Velasco, L Martinez-Villaseñor, L Miralles-Pechuán
Proceedings of the 4th EAI International Conference on Smart Objects and …, 2018
92018
Real-time bidding campaigns optimization using user profile settings
L Miralles-Pechuán, MA Qureshi, BM Namee
Electronic Commerce Research 23 (2), 1297-1322, 2023
82023
Optimization of the Containment Levels for the Reopening of Mexico City due to COVID-19
L Miralles-Pechuan, H Ponce, L Martinez-Villasenor
IEEE Latin America Transactions 19 (6), 1065-1073, 2021
82021
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