Bringing Networks together to Improve Advertising Performance. - Luis Miralles Pechuán; José Manuel García Carrasco (Res. Comput. Sci., 2014)

Ad Exchange Optimization Algorithms on Advertising Networks. - Luis Miralles Pechuán; Claudia Sánchez Gómez; María de Lourdes Martínez-Villaseñor (Res. Comput. Sci., 2014)

Artificial Hydrocarbon Networks for Online Sales Prediction. - Hiram Ponce-Espinosa; Luis Miralles Pechuán; María de Lourdes Martínez-Villaseñor (MICAI (2), 2015)

Comparative Analysis of Artificial Hydrocarbon Networks and Data-Driven Approaches for Human Activity Recognition. - Hiram Ponce-Espinosa; María de Lourdes Martínez-Villaseñor; Luis Miralles Pechuán (UCAmI, 2015)

Predicción del CTR de los anuncios de Internet usando redes orgánicas artificiales. - Luis Miralles Pechuán; Hiram Ponce-Espinosa (Res. Comput. Sci., 2015)

Reconocimiento de dígitos escritos a mano mediante métodos de tratamiento de imagen y modelos de clasificación. - Luis Miralles Pechuán; Dafne A. Rosso-Pelayo; Jorge Brieva (Res. Comput. Sci., 2015)

Feature Selection Methods Evaluation for CTR Estimation. - Luis Miralles Pechuán; Hiram Ponce; María de Lourdes Martínez-Villaseñor (MICAI (Special Session), 2016)

Machine Learning Method to Establish the Connection Between Age Related Macular Degeneration and Some Genetic Variations. - Antonieta Martínez-Velasco; Juan Carlos Zenteno; María de Lourdes Martínez-Villaseñor; Luis Miralles Pechuán; Andric Pérez-Ortiz; Francisco Javier Estrada-Mena (UCAmI (2), 2016)

Interoperability in Electronic Health Records Through the Mediation of Ubiquitous User Model. - María de Lourdes Martínez-Villaseñor; Luis Miralles Pechuán; Miguel González-Mendoza 001 (UCAmI (1), 2016)

Emotion Analysis in Gasoline Consumption in Mexico using Machine Learning. - Dafne A. Rosso-Pelayo; Joel Armando Colín Pacheco; Luis Miralles Pechuán (Res. Comput. Sci., 2016)

A Novel Wearable Sensor-Based Human Activity Recognition Approach Using Artificial Hydrocarbon Networks. - Hiram Ponce-Espinosa; María de Lourdes Martínez-Villaseñor; Luis Miralles Pechuán (Sensors, 2016)

A Flexible Approach for Human Activity Recognition Using Artificial Hydrocarbon Networks. - Hiram Ponce-Espinosa; Luis Miralles Pechuán; María de Lourdes Martínez-Villaseñor (Sensors, 2016)

Human Activity Recognition on Mobile Devices Using Artificial Hydrocarbon Networks. - Hiram Ponce; Guillermo González; Luis Miralles-Pechuán; María de Lourdes Martínez-Villaseñor (MICAI (1), 2017)

Multi-objective evolutionary feature selection for online sales forecasting. - Fernando Jiménez; Gracia Sánchez; José M. García 001; Guido Sciavicco; Luis Miralles Pechuán (Neurocomputing, 2017)

A methodology based on Deep Learning for advert value calculation in CPM, CPC and CPA networks. - Luis Miralles Pechuán; Dafne Rosso; Fernando Jiménez; José M. García 001 (Soft Comput., 2017)

Machine Learning Approach for Pre-Eclampsia Risk Factors Association. - Antonieta Martínez-Velasco; María de Lourdes Martínez-Villaseñor; Luis Miralles-Pechuán (GOODTECHS, 2018)

VHI: Valve Health Identification for the Maintenance of Subsea Industrial Equipment. - Muhammad Atif Qureshi 001; Luis Miralles-Pechuán; Jing Su; Jason Payne; Ronan O'Malley (ECML/PKDD (3), 2018)

A novel methodology for optimizing display advertising campaigns using genetic algorithms. - Luis Miralles Pechuán; Hiram Ponce-Espinosa; María de Lourdes Martínez-Villaseñor (Electron. Commer. Res. Appl., 2018)

Multi-Objective Evolutionary Rule-Based Classification with Categorical Data. - Fernando Jiménez; Carlos Martínez; Luis Miralles Pechuán; Gracia Sánchez; Guido Sciavicco (Entropy, 2018)

ZeLiC and ZeChipC: Time Series Interpolation Methods for Lebesgue or Event-based Sampling. - Matthieu Bellucci; Luis Miralles 001; Muhammad Atif Qureshi 001; Brian Mac Namee (CoRR, 2019)

Real-time Bidding campaigns optimization using attribute selection. - Luis Miralles 001; Muhammad Atif Qureshi 001; Brian Mac Namee (CoRR, 2019)

A Methodology Based on Deep Q-Learning/Genetic Algorithms for Optimizing COVID-19 Pandemic Government Actions. - Luis Miralles-Pechuán; Fernando Jiménez; Hiram Ponce; Lourdes Martínez-Villaseñor (CIKM, 2020)

A Survey on Freezing of Gait Detection and Prediction in Parkinson's Disease. - Lourdes Martínez-Villaseñor; Hiram Ponce; Luis Miralles-Pechuán (MICAI (1), 2020)

ZeChipC: Time Series Interpolation Method Based on Lebesgue Sampling. - Luis Miralles-Pechuán; Matthieu Bellucci; Muhammad Atif Qureshi 001; Brian Mac Namee (MICAI (1), 2020)

Valve Health Identification Using Sensors and Machine Learning Methods. - Muhammad Atif Qureshi 001; Luis Miralles-Pechuán; Jason Payne; Ronan O'Malley; Brian Mac Namee (IoT Streams/ITEM@PKDD/ECML, 2020)

A Deep Q-learning/genetic Algorithms Based Novel Methodology For Optimizing Covid-19 Pandemic Government Actions. - Luis Miralles-Pechuán; Fernando Jiménez; Hiram Ponce; Lourdes Martínez-Villaseñor (CoRR, 2020)

A novel auction system for selecting advertisements in Real-Time bidding. - Luis Miralles-Pechuán; Fernando Jiménez; José Manuel García Carrasco (CoRR, 2020)

Cutting Through the Emissions: Feature Selection from Electromagnetic Side-Channel Data for Activity Detection. - Asanka P. Sayakkara; Luis Miralles-Pechuán; Nhien-An Le-Khac; Mark Scanlon (Digit. Investig., 2020)

A 2020 perspective on "A novel methodology for optimizing display advertising campaigns using genetic algorithms". - Luis Miralles-Pechuán; Hiram Ponce; Lourdes Martínez-Villaseñor (Electron. Commer. Res. Appl., 2020)

Modelling the COVID-19 Virus Evolution With Incremental Machine Learning. - Andrés L. Suárez-Cetrulo; Ankit Kumar; Luis Miralles-Pechuán (AICS, 2021)

An Alternative Auction System to Generalized Second-Price for Real-Time Bidding Optimized Using Genetic Algorithms. - Luis Miralles-Pechuán; Fernando Jiménez; Josá Manuel García (ICICT (2), 2021)

Zero-Shot Action Recognition with Knowledge Enhanced Generative Adversarial Networks. - Kaiqiang Huang; Luis Miralles-Pechuán; Susan McKeever (IJCCI, 2021)

Multivariate feature ranking of gene expression data. - Fernando Jiménez; Gracia Sánchez; José Palma 001; Luis Miralles-Pechuán; Juan A. Botía (CoRR, 2021)

Identifying Internet of Things software activities using deep learning-based electromagnetic side-channel analysis. - Quan Le; Luis Miralles-Pechuán; Asanka P. Sayakkara; Nhien-An Le-Khac; Mark Scanlon (Digit. Investig., 2021)

An Explainable Tool to Support Age-related Macular Degeneration Diagnosis. - Lourdes Martínez-Villaseñor; Hiram Ponce; Antonieta Martínez-Velasco; Luis Miralles-Pechuán (IJCNN, 2022)

Combining Text and Image Knowledge with GANs for Zero-Shot Action Recognition in Videos. - Kaiqiang Huang; Luis Miralles-Pechuán; Susan McKeever (VISIGRAPP (5: VISAPP), 2022)

Multivariate Feature Ranking With High-Dimensional Data for Classification Tasks. - Fernando Jiménez; Gracia Sánchez; José Palma 001; Luis Miralles-Pechuán; Juan A. Botía (IEEE Access, 2022)

Detecting Road Intersections from Satellite Images using Convolutional Neural Networks. - Fatma El-Zahraa El-Taher; Luis Miralles-Pechuán; Jane Courtney; Susan McKeever (SAC, 2023)

A Survey on Outdoor Navigation Applications for People With Visual Impairments. - Fatma El-Zahraa El-Taher; Luis Miralles-Pechuán; Jane Courtney; Kristina Millar; Chantelle Smith; Susan McKeever (IEEE Access, 2023)

Real-time bidding campaigns optimization using user profile settings. - Luis Miralles-Pechuán; Muhammad Atif Qureshi 001; Brian Mac Namee (Electron. Commer. Res., 2023)

Forecasting COVID-19 cases using dynamic time warping and incremental machine learning methods. - Luis Miralles-Pechuán; Ankit Kumar; Andrés L. Suárez-Cetrulo (Expert Syst. J. Knowl. Eng., 2023)

Enhancing Zero-Shot Action Recognition in Videos by Combining GANs with Text and Images. - Kaiqiang Huang; Luis Miralles-Pechuán; Susan McKeever (SN Comput. Sci., 2023)

SafeRoute: A Safer Outdoor Navigation Algorithm with Smart Routing for People with Visual Impairment. - Fatmaelzahraa Eltaher; Luis Miralles-Pechuán; Jane Courtney; Susan McKeever (PETRA, 2024)

Genetic Algorithm-Accelerated Optimization for Runge-Kutta Scheme Derivation in High-Dimensional Problems With Hard Constraints. - Gavin-Lee Goodship; Stephen O'Sullivan; Luis Miralles-Pechuán (IEEE Access, 2024)

Generalized Zero-Shot Learning for Action Recognition Fusing Text and Image GANs. - Kaiqiang Huang; Susan McKeever; Luis Miralles-Pechuán (IEEE Access, 2024)

Analyzing Morinda citrifolia's Potential for Haemonchus contortus Control in Lambs Using an Artificial Immune/Neural Approach. - Gabriele L. S. Silva; Laura L. S. Oliveira; Fredson V. Silva; Murilo C. O. Camargos Filho; Matheus Pereira Libório; Marcos F. S. V. D'Angelo; Alisson S. P. Caldeira; Luis Miralles-Pechuán; Hamidreza Rabiei-Dastjerdi (IEEE Access, 2024)

Survey on Plagiarism Detection in Large Language Models: The Impact of ChatGPT and Gemini on Academic Integrity. - Shushanta Pudasaini; Luis Miralles-Pechuán; David Lillis; Marisa Llorens-Salvador (CoRR, 2024)

Explainable AI for 6G Use Cases: Technical Aspects and Research Challenges. - Shen Wang 006; Muhammad Atif Qureshi 001; Luis Miralles-Pechuán; Thien Huynh-The; Thippa Reddy Gadekallu; Madhusanka Liyanage (IEEE Open J. Commun. Soc., 2024)

Benchmarking AI Text Detection: Assessing Detectors Against New Datasets, Evasion Tactics, and Enhanced LLMs. - Shushanta Pudasaini; Luis Miralles 001; David Lillis; Marisa Llorens-Salvador (COLING Workshops, 2025)

The Digital Loophole: Evaluating the Effectiveness of Child Age Verification Methods on Social Media. - Fatmaelzahraa Eltaher; Rahul Krishna Gajula; Luis Miralles-Pechuán; Christina Thorpe; Susan McKeever (ICISSP (2), 2025)

Predicting Dry Matter Intake in Lactating Crossbred Cows Under Semi-Arid Conditions Using an Error-Based Evolving Takagi-Sugeno Fuzzy Model. - Dijair B. Leal; Rafael A. Soares; Vicente R. Rocha Júnior; Flávio P. Monção; Murilo C. O. Camargos Filho; Marcos F. S. V. D'Angelo; Luis Miralles-Pechuán (IEEE Access, 2025)

Protecting Young Users on Social Media: Evaluating the Effectiveness of Content Moderation and Legal Safeguards on Video Sharing Platforms. - Fatmaelzahraa Eltaher; Rahul Krishna Gajula; Luis Miralles-Pechuán; Patrick Crotty; Juan Martínez-Otero; Christina Thorpe; Susan McKeever (CoRR, 2025)

Optimising 4th-Order Runge-Kutta Methods: A Dynamic Heuristic Approach for Efficiency and Low Storage. - Gavin-Lee Goodship; Luis Miralles Pechuán; Stephen O'Sullivan (CoRR, 2025)