Predicting Performance in Team Games - The Automatic Coach. - Guillermo Jiménez-Díaz; Héctor D. Menéndez 001; David Camacho; Pedro A. González-Calero (ICAART (1), 2011)

Using the Clustering Coefficient to Guide a Genetic-Based Communities Finding Algorithm. - Gema Bello Orgaz; Héctor D. Menéndez 001; David Camacho (IDEAL, 2011)

A Genetic Graph-Based Clustering Algorithm. - Héctor D. Menéndez 001; David Camacho (IDEAL, 2012)

Features selection from high-dimensional web data using clustering analysis. - Héctor D. Menéndez 001; Gema Bello Orgaz; David Camacho (WIMS, 2012)

Adaptive k-Means Algorithm for Overlapped Graph Clustering. - Gema Bello Orgaz; Héctor D. Menéndez 001; David Camacho (Int. J. Neural Syst., 2012)

A Multi-Objective Genetic Graph-Based Clustering algorithm with memory optimization. - Héctor D. Menéndez 001; David F. Barrero; David Camacho (IEEE Congress on Evolutionary Computation, 2013)

Extracting Collective Trends from Twitter Using Social-Based Data Mining. - Gema Bello Orgaz; Héctor D. Menéndez 001; Shintaro Okazaki; David Camacho (ICCCI, 2013)

A genetic graph-based clustering approach to biomedical summarization. - Héctor D. Menéndez 001; Laura Plaza; David Camacho (WIMS, 2013)

Extracting behavioural models from 2010 FIFA world cup. - Héctor D. Menéndez 001; Gema Bello Orgaz; David Camacho (J. Syst. Sci. Complex., 2013)

MACOC: A Medoid-Based ACO Clustering Algorithm. - Héctor D. Menéndez 001; Fernando E. B. Otero; David Camacho (ANTS Conference, 2014)

A Co-Evolutionary Multi-Objective approach for a K-adaptive graph-based clustering algorithm. - Héctor D. Menéndez 001; David F. Barrero; David Camacho (IEEE Congress on Evolutionary Computation, 2014)

Combining graph connectivity and genetic clustering to improve biomedical summarization. - Héctor D. Menéndez 001; Laura Plaza; David Camacho (IEEE Congress on Evolutionary Computation, 2014)

Combinando series temporales y clustering para extraer perfiles evolutivos de jugadores. - Rafael Vindel; Héctor D. Menéndez 001; David Camacho (CoSECivi, 2014)

Combining Time Series and Clustering to Extract Gamer Profile Evolution. - Héctor D. Menéndez 001; Rafael Vindel; David Camacho (ICCCI, 2014)

SACOC: A Spectral-Based ACO Clustering Algorithm. - Héctor D. Menéndez 001; Fernando E. B. Otero; David Camacho (IDC, 2014)

Mixed Clustering Methods to Forecast Baseball Trends. - Héctor D. Menéndez 001; Miguel Vázquez; David Camacho (IDC, 2014)

TweetSemMiner: A Meta-Topic Identification Model for Twitter Using Semantic Analysis. - Héctor D. Menéndez 001; Carlos Delgado-Calle; David Camacho (IDEAL, 2014)

A Multi-Objective Graph-based Genetic Algorithm for image segmentation. - Héctor D. Menéndez 001; David Camacho (INISTA, 2014)

A Genetic Graph-Based Approach for Partitional Clustering. - Héctor D. Menéndez 001; David F. Barrero; David Camacho (Int. J. Neural Syst., 2014)

Analyzing Planning and Monitoring Skills of Users in a Multi-UAV Simulation Environment. - Víctor Rodríguez-Fernández; Héctor D. Menéndez 001; David Camacho (CAEPIA, 2015)

GANY: A genetic spectral-based Clustering algorithm for Large Data Analysis. - Héctor D. Menéndez 001; David Camacho (CEC, 2015)

Design and development of a lightweight multi-UAV simulator. - Víctor Rodríguez-Fernández; Héctor D. Menéndez 001; David Camacho (CYBCONF, 2015)

MOGCLA: A Multi-Objective Genetic Clustering Algorithm for Large Data Analysis. - Héctor David Menéndez 001; David Camacho (GECCO (Companion), 2015)

User Profile Analysis for UAV Operators in a Simulation Environment. - Víctor Rodríguez-Fernández; Héctor D. Menéndez 001; David Camacho (ICCCI (1), 2015)

A tutorial on manifold clustering using genetic algorithms. - Héctor D. Menéndez 001 (INISTA, 2015)

Using Twitter to engage with customers: a data mining approach. - Shintaro Okazaki; Ana M. Díaz-Martín; Mercedes Rozano; Héctor David Menéndez-Benito (Internet Res., 2015)

Studying the Influence of Static API Calls for Hiding Malware. - Alejandro Martín; Héctor D. Menéndez 001; David Camacho (CAEPIA, 2016)

Genetic boosting classification for malware detection. - Alejandro Martín; Héctor D. Menéndez 001; David Camacho (CEC, 2016)

String-based Malware Detection for Android Environments. - Alejandro Martín; Héctor D. Menéndez 001; David Camacho (IDC, 2016)

ADROIT: Android malware detection using meta-information. - Alejandro Martín; Alejandro Calleja; Héctor D. Menéndez 001; Juan E. Tapiador; David Camacho (SSCI, 2016)

ITect: Scalable Information Theoretic Similarity for Malware Detection. - Sukriti Bhattacharya; Héctor D. Menéndez 001; Earl T. Barr; David Clark 001 (CoRR, 2016)

Automatic profile generation for UAV operators using a simulation-based training environment. - Víctor Rodríguez-Fernández; Héctor D. Menéndez 001; David Camacho (Prog. Artif. Intell., 2016)

Medoid-based clustering using ant colony optimization. - Héctor D. Menéndez 001; Fernando E. B. Otero; David Camacho (Swarm Intell., 2016)

Analysing temporal performance profiles of UAV operators using time series clustering. - Víctor Rodríguez-Fernández; Héctor D. Menéndez 001; David Camacho (Expert Syst. Appl., 2017)

Extending the SACOC algorithm through the Nyström method for dense manifold data analysis. - Héctor D. Menéndez 001; Fernando E. B. Otero; David Camacho (Int. J. Bio Inspired Comput., 2017)

A study on performance metrics and clustering methods for analyzing behavior in UAV operations. - Víctor Rodríguez-Fernández; Héctor D. Menéndez 001; David Camacho (J. Intell. Fuzzy Syst., 2017)

MOCDroid: multi-objective evolutionary classifier for Android malware detection. - Alejandro Martín; Héctor D. Menéndez 001; David Camacho (Soft Comput., 2017)

Picking on the family: Disrupting android malware triage by forcing misclassification. - Alejandro Calleja; Alejandro Martín; Héctor D. Menéndez 001; Juan E. Tapiador; David Clark 001 (Expert Syst. Appl., 2018)

VARMOG: A Co-Evolutionary Algorithm to Identify Manifolds on Large Data. - Héctor D. Menéndez 001 (CEC, 2019)

Dorylus: An Ant Colony Based Tool for Automated Test Case Generation. - Dan Bruce; Héctor D. Menéndez 001; David Clark 001 (SSBSE, 2019)

Mimicking Anti-Viruses with Machine Learning and Entropy Profiles. - Héctor D. Menéndez 001; José Luis Llorente (Entropy, 2019)

The arms race: Adversarial search defeats entropy used to detect malware. - Héctor D. Menéndez 001; Sukriti Bhattacharya; David Clark 001; Earl T. Barr (Expert Syst. Appl., 2019)

Ant Colony Optimization for Object-Oriented Unit Test Generation. - Dan Bruce; Héctor D. Menéndez 001; Earl T. Barr; David Clark 001 (ANTS Conference, 2020)

Detecting Malware with Information Complexity. - Nadia Alshahwan; Earl T. Barr; David Clark 001; George Danezis; Héctor D. Menéndez 001 (Entropy, 2020)

Getting Ahead of the Arms Race: Hothousing the Coevolution of VirusTotal with a Packer. - Héctor D. Menéndez 001; David Clark 001; Earl T. Barr (Entropy, 2021)

Designing large quantum key distribution networks via medoid-based algorithms. - Iván García-Cobo; Héctor D. Menéndez 001 (Future Gener. Comput. Syst., 2021)

Diversifying Focused Testing for Unit Testing. - Héctor D. Menéndez 001; Gunel Jahangirova; Federica Sarro; Paolo Tonella; David Clark 001 (ACM Trans. Softw. Eng. Methodol., 2021)

Ant colony optimization for software engineers. - Carlos Gavidia-Calderon; Héctor D. Menéndez 001 (GECCO Companion, 2022)

Measuring Machine Learning Robustness in front of Static and Dynamic Adversaries. - Héctor D. Menéndez 001 (ICTAI, 2022)

ObfSec: Measuring the security of obfuscations from a testing perspective. - Héctor D. Menéndez 001; Guillermo Suarez-Tangil (Expert Syst. Appl., 2022)

Output Sampling for Output Diversity in Automatic Unit Test Generation. - Héctor D. Menéndez 001; Michele Boreale; Daniele Gorla; David Clark 001 (IEEE Trans. Software Eng., 2022)

Hashing Fuzzing: Introducing Input Diversity to Improve Crash Detection. - Héctor D. Menéndez 001; David Clark 001 (IEEE Trans. Software Eng., 2022)

Dynamic Output State Classification for Quantum Computers. - Héctor D. Menéndez 001; Luciano Bello; David Clark 001 (Q-SE@ICSE, 2023)

June: A Type Testability Transformation for Improved ATG Performance. - Dan Bruce; David A. Kelly; Héctor D. Menéndez 001; Earl T. Barr; David Clark 001 (ISSTA, 2023)

StableYolo: Optimizing Image Generation for Large Language Models. - Harel Berger; Aidan Dakhama; Zishuo Ding; Karine Even-Mendoza; David A. Kelly; Héctor D. Menéndez 001; Rebecca Moussa; Federica Sarro (SSBSE, 2023)

SearchGEM5: Towards Reliable Gem5 with Search Based Software Testing and Large Language Models. - Aidan Dakhama; Karine Even-Mendoza; William B. Langdon; Héctor D. Menéndez 001; Justyna Petke (SSBSE, 2023)

Stay Stress-Free with Complete Confidence: Trustworthiness of Autonomous Stress Detection Systems for Smart Devices. - Héctor D. Menéndez 001; Gema Bello Orgaz (TAS, 2023)

MACAIF: Machine Learning Auditing for Clinical AI Fairness. - Pepita Barnard; John Robert Bautista; Joshua Krook; Anqi Liu; Héctor Menéndez 001; Aurora C. Schmidt; Tamim Sookoor (TAS, 2023)

Responsible MLOps Design Methodology for an Auditing System for AI-Based Clinical Decision Support Systems. - Pepita Barnard; John Robert Bautista; Aidan Dakhama; Arya Farahi; Kazim Laos; Anqi Liu; Héctor D. Menéndez 001 (ICTSS, 2024)

Automatic Summarization Evaluation: Methods and Practices. - Héctor D. Menéndez 001; Aidan Dakhama (ICTSS, 2024)

Summary of ObfSec: Measuring the Security of Obfuscations from a Testing Perspective. - Héctor D. Menéndez 001; Guillermo Suarez-Tangil (ICTSS, 2024)

Artifact of Search+LLM-based Testing for ARM Simulators. - Karine Even-Mendoza; Héctor D. Menéndez 001; William B. Langdon; Aidan Dakhama; Justyna Petke; Bobby R. Bruce (Zenodo, 2024)

Artifact of Search+LLM-based Testing for ARM Simulators. - Bobby R. Bruce; Aidan Dakhama; Karine Even-Mendoza; William B. Langdon; Héctor Menéndez 001; Justyna Petke (Zenodo, 2024)

Artifact of Search+LLM-based Testing for ARM Simulators. - Bobby R. Bruce; Aidan Dakhama; Karine Even-Mendoza; William B. Langdon; Héctor Menéndez 001; Justyna Petke (Zenodo, 2024)

Artifact of Search+LLM-based Testing for ARM Simulators. - Bobby R. Bruce; Aidan Dakhama; Karine Even-Mendoza; William B. Langdon; Héctor Menéndez 001; Justyna Petke (Zenodo, 2024)

Artifact of Search+LLM-based Testing for ARM Simulators. - Karine Even-Mendoza; Héctor Menéndez 001; William B. Langdon; Aidan Dakhama; Justyna Petke; Bobby R. Bruce (Zenodo, 2024)

Search+LLM-Based Testing for ARM Simulators. - Karine Even-Mendoza; Héctor D. Menéndez 001; William B. Langdon; Aidan Dakhama; Justyna Petke; Bobby R. Bruce (SEIP@ICSE, 2025)

Improving explanations for medical X-ray diagnosis combining variational autoencoders and adversarial machine learning. - Guillermo Iglesias; Héctor D. Menéndez 001; Edgar Talavera (Comput. Biol. Medicine, 2025)

Artifact of Search+LLM-based Testing for ARM Simulators. - Karine Even-Mendoza; Héctor D. Menéndez 001; William B. Langdon; Aidan Dakhama; Justyna Petke; Bobby R. Bruce (Zenodo, 2025)

Artifact of Search+LLM-based Testing for ARM Simulators. - Karine Even-Mendoza; Héctor D. Menéndez 001; William B. Langdon; Aidan Dakhama; Justyna Petke; Bobby R. Bruce (Zenodo, 2025)

Artifact of Search+LLM-based Testing for ARM Simulators. - Karine Even-Mendoza; Héctor D. Menéndez 001; William B. Langdon; Aidan Dakhama; Justyna Petke; Bobby R. Bruce (Zenodo, 2025)

Artifact of Search+LLM-based Testing for ARM Simulators. - Karine Even-Mendoza; Héctor D. Menéndez 001; William B. Langdon; Aidan Dakhama; Justyna Petke; Bobby R. Bruce (Zenodo, 2025)

Artifact of Search+LLM-based Testing for ARM Simulators. - Karine Even-Mendoza; Héctor Menéndez 001; William B. Langdon; Aidan Dakhama; Justyna Petke; Bobby R. Bruce (Zenodo, 2025)

To BEE or not to BEE: Estimating more than Entropy with Biased Entropy Estimators. - Ilaria Pia La Torre; David A. Kelly; Héctor Menéndez 001; David Clark 001 (CoRR, 2025)

Enhancing search-based testing with LLMs for finding bugs in system simulators. - Aidan Dakhama; Karine Even-Mendoza; William B. Langdon; Héctor D. Menéndez 001; Justyna Petke (Autom. Softw. Eng., 2025)