Luis Miralles Pechuán
Orcid: 0000-0002-7565-6894Affiliations:
- Technological University Dublin, School of Computer Science, Ireland
According to our database1,
Luis Miralles Pechuán
authored at least 43 papers
between 2014 and 2024.
Collaborative distances:
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Bibliography
2024
IEEE Access, 2024
2023
Enhancing Zero-Shot Action Recognition in Videos by Combining GANs with Text and Images.
SN Comput. Sci., July, 2023
Forecasting COVID-19 cases using dynamic time warping and incremental machine learning methods.
Expert Syst. J. Knowl. Eng., July, 2023
Electron. Commer. Res., June, 2023
IEEE Access, 2023
Detecting Road Intersections from Satellite Images using Convolutional Neural Networks.
Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing, 2023
2022
IEEE Access, 2022
Combining Text and Image Knowledge with GANs for Zero-Shot Action Recognition in Videos.
Proceedings of the 17th International Joint Conference on Computer Vision, 2022
Proceedings of the International Joint Conference on Neural Networks, 2022
2021
Identifying Internet of Things software activities using deep learning-based electromagnetic side-channel analysis.
Digit. Investig., 2021
Zero-Shot Action Recognition with Knowledge Enhanced Generative Adversarial Networks.
Proceedings of the 13th International Joint Conference on Computational Intelligence, 2021
An Alternative Auction System to Generalized Second-Price for Real-Time Bidding Optimized Using Genetic Algorithms.
Proceedings of Sixth International Congress on Information and Communication Technology, 2021
Proceedings of the 29th Irish Conference on Artificial Intelligence and Cognitive Science 2021, 2021
2020
A 2020 perspective on "A novel methodology for optimizing display advertising campaigns using genetic algorithms".
Electron. Commer. Res. Appl., 2020
Cutting Through the Emissions: Feature Selection from Electromagnetic Side-Channel Data for Activity Detection.
Digit. Investig., 2020
A Deep Q-learning/genetic Algorithms Based Novel Methodology For Optimizing Covid-19 Pandemic Government Actions.
CoRR, 2020
Proceedings of the IoT Streams for Data-Driven Predictive Maintenance and IoT, Edge, and Mobile for Embedded Machine Learning, 2020
Proceedings of the Advances in Soft Computing, 2020
Proceedings of the Advances in Soft Computing, 2020
A Methodology Based on Deep Q-Learning/Genetic Algorithms for Optimizing COVID-19 Pandemic Government Actions.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020
2019
ZeLiC and ZeChipC: Time Series Interpolation Methods for Lebesgue or Event-based Sampling.
CoRR, 2019
2018
Entropy, 2018
A novel methodology for optimizing display advertising campaigns using genetic algorithms.
Electron. Commer. Res. Appl., 2018
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018
Proceedings of the 4th EAI International Conference on Smart Objects and Technologies for Social Good, 2018
2017
A methodology based on Deep Learning for advert value calculation in CPM, CPC and CPA networks.
Soft Comput., 2017
Neurocomputing, 2017
Proceedings of the Advances in Soft Computing, 2017
2016
A Flexible Approach for Human Activity Recognition Using Artificial Hydrocarbon Networks.
Sensors, 2016
A Novel Wearable Sensor-Based Human Activity Recognition Approach Using Artificial Hydrocarbon Networks.
Sensors, 2016
Res. Comput. Sci., 2016
Interoperability in Electronic Health Records Through the Mediation of Ubiquitous User Model.
Proceedings of the Ubiquitous Computing and Ambient Intelligence, 2016
Machine Learning Method to Establish the Connection Between Age Related Macular Degeneration and Some Genetic Variations.
Proceedings of the Ubiquitous Computing and Ambient Intelligence, 2016
Proceedings of the Fifteenth Mexican International Conference on Artificial Intelligence, 2016
2015
Reconocimiento de dígitos escritos a mano mediante métodos de tratamiento de imagen y modelos de clasificación.
Res. Comput. Sci., 2015
Res. Comput. Sci., 2015
Comparative Analysis of Artificial Hydrocarbon Networks and Data-Driven Approaches for Human Activity Recognition.
Proceedings of the Ubiquitous Computing and Ambient Intelligence. Sensing, Processing, and Using Environmental Information, 2015
Proceedings of the Advances in Artificial Intelligence and Its Applications, 2015
2014
Res. Comput. Sci., 2014