Forecasting COVID‐19 cases using dynamic time warping and incremental machine learning methods von Miralles‐Pechuán, Luis, Kumar, Ankit, Suárez‐Cetrulo, Andrés L.

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Generalised Zero-Shot Learning for Action Recognition fusing text and image GANs von Huang, Kaiqiang, Mckeever, Susan, Miralles-Pechuan, Luis

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Genetic Algorithm-Accelerated Optimization for Runge-Kutta Scheme Derivation in High-Dimensional Problems With Hard Constraints von Goodship, Gavin-Lee, O'Sullivan, Stephen, Miralles-Pechuan, Luis

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A Novel Wearable Sensor-Based Human Activity Recognition Approach Using Artificial Hydrocarbon Networks von Ponce, Hiram, Martínez-Villaseñor, María de Lourdes, Miralles-Pechuán, Luis

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A Flexible Approach for Human Activity Recognition Using Artificial Hydrocarbon Networks von Ponce, Hiram, Miralles-Pechuán, Luis, Martínez-Villaseñor, María de Lourdes

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Real-time bidding campaigns optimization using user profile settings von Miralles-Pechuán, Luis, Qureshi, M. Atif, Namee, Brian Mac

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Survey on AI-Generated Plagiarism Detection: The Impact of Large Language Models on Academic Integrity von Pudasaini, Shushanta, Miralles-Pechuán, Luis, Lillis, David, Llorens Salvador, Marisa

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A novel methodology for optimizing display advertising campaigns using genetic algorithms von Miralles-Pechuán, Luis, Ponce, Hiram, Martínez-Villaseñor, Lourdes

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Addressing Class Imbalance in Healthcare Data: Machine Learning Solutions for Age-Related Macular Degeneration and Preeclampsia von Martinez-Velasco, Antonieta, Martinez -Villasenor, Lourdes, Miralles-Pechuan, Luis

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A 2020 perspective on “A novel methodology for optimizing display advertising campaigns using genetic algorithms” von Miralles-Pechuán, Luis, Ponce, Hiram, Martínez-Villaseñor, Lourdes

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Identifying Internet of Things software activities using deep learning-based electromagnetic side-channel analysis von Le, Quan, Miralles-Pechuán, Luis, Sayakkara, Asanka, Le-Khac, Nhien-An, Scanlon, Mark

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A methodology based on Deep Learning for advert value calculation in CPM, CPC and CPA networks von Miralles-Pechuán, Luis, Rosso, Dafne, Jiménez, Fernando, García, Jose M.

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Cutting Through the Emissions: Feature Selection from Electromagnetic Side-Channel Data for Activity Detection von Sayakkara, Asanka, Miralles-Pechuán, Luis, Le-Khac, Nhien-An, Scanlon, Mark

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VHI: Valve Health Identification for the Maintenance of Subsea Industrial Equipment von Atif Qureshi, M., Miralles-Pechuán, Luis, Su, Jing, Payne, Jason, O’Malley, Ronan

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Explainable AI for 6G Use Cases: Technical Aspects and Research Challenges von Wang, Shen, Qureshi, M. Atif, Miralles-Pechuan, Luis, Huynh-The, Thien, Gadekallu, Thippa Reddy, Liyanage, Madhusanka

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The Relevance of Cataract as a Risk Factor for Age-Related Macular Degeneration: A Machine Learning Approach von Martínez-Velasco, Antonieta, Martínez-Villaseñor, Lourdes, Miralles-Pechuán, Luis, Perez-Ortiz, Andric C., Zenteno, Juan C., Estrada-Mena, Francisco Javier

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Analyzing Morinda citrifolia's Potential for Haemonchus contortus Control in Lambs Using an Artificial Immune/Neural Approach von Silva, Gabriele L. S., Oliveira, Laura L. S., Silva, Fredson V., Camargos, Murilo O., Liborio, Matheus P., D'Angelo, Marcos F. S. V., Caldeira, Alisson S. P., Miralles-Pechuan, Luis, Rabiei, Hamid

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A Survey on Freezing of Gait Detection and Prediction in Parkinson's Disease von Martínez-Villaseñor, Lourdes, Ponce, Hiram, Miralles-Pechuán, Luis

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Multi-Objective Evolutionary Rule-Based Classification with Categorical Data von Jiménez, Fernando, Martínez, Carlos, Miralles-Pechuán, Luis, and Guido Sciavicco, Gracia

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ZeChipC: Time Series Interpolation Method Based on Lebesgue Sampling von Miralles-Pechuán, Luis, Bellucci, Matthieu, Qureshi, M. Atif, Namee, Brian Mac

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