Héctor D. Menéndez

65 papers A 1B 12C 10Misc 3Journal 24Unranked 15

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Size doesn't matter: Assessing the trustworthiness of large language models in medical contexts: A focus on epidural information retrieval. Artif. Intell. Medicine Marina del Barrio, Kazim Laos, María José Vilchez Lara, Carlos Goicoechea García, Héctor D. Menéndez
2025	J	`jnl`	Enhancing search-based testing with LLMs for finding bugs in system simulators. Autom. Softw. Eng. Aidan Dakhama, Karine Even-Mendoza, William B. Langdon, Héctor D. Menéndez, Justyna Petke
2025	J	`jnl`	GreenMalloc: Allocator Optimisation for Industrial Workloads. CoRR Aidan Dakhama, William B. Langdon, Héctor D. Menéndez, Karine Even-Mendoza
2025	J	`jnl`	Improving explanations for medical X-ray diagnosis combining variational autoencoders and adversarial machine learning. Comput. Biol. Medicine Guillermo Iglesias, Héctor D. Menéndez, Edgar Talavera
2025	—	`conf`	Search+LLM-Based Testing for ARM Simulators. SEIP@ICSE Karine Even-Mendoza, Héctor D. Menéndez, William B. Langdon, Aidan Dakhama, Justyna Petke, Bobby R. Bruce
2025	C	`ed.`	Testing Software and Systems - 36th IFIP WG 6.1 International Conference, ICTSS 2024, London, UK, October 30 - November 1, 2024, Proceedings ICTSS Héctor D. Menéndez, Gema Bello Orgaz, Pepita Barnard, John Robert Bautista, Arya Farahi, Santanu Kumar Dash, DongGyun Han, Sophie Fortz, Víctor Rodríguez-Fernández
2024	C	`conf`	Automatic Summarization Evaluation: Methods and Practices. ICTSS Héctor D. Menéndez, Aidan Dakhama
2024	C	`conf`	Responsible MLOps Design Methodology for an Auditing System for AI-Based Clinical Decision Support Systems. ICTSS Pepita Barnard, John Robert Bautista, Aidan Dakhama, Arya Farahi, Kazim Laos, Anqi Liu, Héctor D. Menéndez
2024	C	`conf`	Summary of ObfSec: Measuring the Security of Obfuscations from a Testing Perspective. ICTSS Héctor D. Menéndez, Guillermo Suarez-Tangil
2023	—	`conf`	Dynamic Output State Classification for Quantum Computers. Q-SE@ICSE Héctor D. Menéndez, Luciano Bello, David Clark
2023	A	`conf`	June: A Type Testability Transformation for Improved ATG Performance. ISSTA Dan Bruce, David A. Kelly, Héctor D. Menéndez, Earl T. Barr, David Clark
2023	B	`conf`	SearchGEM5: Towards Reliable Gem5 with Search Based Software Testing and Large Language Models. SSBSE Aidan Dakhama, Karine Even-Mendoza, William B. Langdon, Héctor D. Menéndez, Justyna Petke
2023	B	`conf`	StableYolo: Optimizing Image Generation for Large Language Models. SSBSE Harel Berger, Aidan Dakhama, Zishuo Ding, Karine Even-Mendoza, David A. Kelly, Héctor D. Menéndez, Rebecca Moussa, Federica Sarro
2023	—	`conf`	Stay Stress-Free with Complete Confidence: Trustworthiness of Autonomous Stress Detection Systems for Smart Devices. TAS Héctor D. Menéndez, Gema Bello Orgaz
2022	—	`conf`	Ant colony optimization for software engineers. GECCO Companion Carlos Gavidia-Calderon, Héctor D. Menéndez
2022	J	`jnl`	Hashing Fuzzing: Introducing Input Diversity to Improve Crash Detection. IEEE Trans. Software Eng. Héctor D. Menéndez, David Clark
2022	B	`conf`	Measuring Machine Learning Robustness in front of Static and Dynamic Adversaries. ICTAI Héctor D. Menéndez
2022	J	`jnl`	ObfSec: Measuring the security of obfuscations from a testing perspective. Expert Syst. Appl. Héctor D. Menéndez, Guillermo Suarez-Tangil
2022	J	`jnl`	Output Sampling for Output Diversity in Automatic Unit Test Generation. IEEE Trans. Software Eng. Héctor D. Menéndez, Michele Boreale, Daniele Gorla, David Clark
2022	C	`ed.`	Testing Software and Systems - 33rd IFIP WG 6.1 International Conference, ICTSS 2021, London, UK, November 10-12, 2021, Proceedings ICTSS David Clark, Héctor D. Menéndez, Ana Rosa Cavalli
2021	J	`jnl`	Designing large quantum key distribution networks via medoid-based algorithms. Future Gener. Comput. Syst. Iván García-Cobo, Héctor D. Menéndez
2021	J	`jnl`	Diversifying Focused Testing for Unit Testing. ACM Trans. Softw. Eng. Methodol. Héctor D. Menéndez, Gunel Jahangirova, Federica Sarro, Paolo Tonella, David Clark
2021	J	`jnl`	Getting Ahead of the Arms Race: Hothousing the Coevolution of VirusTotal with a Packer. Entropy Héctor D. Menéndez, David Clark, Earl T. Barr
2020	—	`conf`	Ant Colony Optimization for Object-Oriented Unit Test Generation. ANTS Conference Dan Bruce, Héctor D. Menéndez, Earl T. Barr, David Clark
2020	J	`jnl`	Detecting Malware with Information Complexity. Entropy Nadia Alshahwan, Earl T. Barr, David Clark, George Danezis, Héctor D. Menéndez
2019	B	`conf`	Dorylus: An Ant Colony Based Tool for Automated Test Case Generation. SSBSE Dan Bruce, Héctor D. Menéndez, David Clark
2019	J	`jnl`	Mimicking Anti-Viruses with Machine Learning and Entropy Profiles. Entropy Héctor D. Menéndez, José Luis Llorente
2019	J	`jnl`	The arms race: Adversarial search defeats entropy used to detect malware. Expert Syst. Appl. Héctor D. Menéndez, Sukriti Bhattacharya, David Clark, Earl T. Barr
2019	B	`conf`	VARMOG: A Co-Evolutionary Algorithm to Identify Manifolds on Large Data. CEC Héctor D. Menéndez
2018	J	`jnl`	Picking on the family: Disrupting android malware triage by forcing misclassification. Expert Syst. Appl. Alejandro Calleja, Alejandro Martín, Héctor D. Menéndez, Juan E. Tapiador, David Clark
2017	J	`jnl`	A study on performance metrics and clustering methods for analyzing behavior in UAV operations. J. Intell. Fuzzy Syst. Víctor Rodríguez-Fernández, Héctor D. Menéndez, David Camacho
2017	J	`jnl`	Analysing temporal performance profiles of UAV operators using time series clustering. Expert Syst. Appl. Víctor Rodríguez-Fernández, Héctor D. Menéndez, David Camacho
2017	J	`jnl`	Extending the SACOC algorithm through the Nyström method for dense manifold data analysis. Int. J. Bio Inspired Comput. Héctor D. Menéndez, Fernando E. B. Otero, David Camacho
2017	J	`jnl`	MOCDroid: multi-objective evolutionary classifier for Android malware detection. Soft Comput. Alejandro Martín, Héctor D. Menéndez, David Camacho
2016	—	`conf`	ADROIT: Android malware detection using meta-information. SSCI Alejandro Martín, Alejandro Calleja, Héctor D. Menéndez, Juan E. Tapiador, David Camacho
2016	J	`jnl`	Automatic profile generation for UAV operators using a simulation-based training environment. Prog. Artif. Intell. Víctor Rodríguez-Fernández, Héctor D. Menéndez, David Camacho
2016	B	`conf`	Genetic boosting classification for malware detection. CEC Alejandro Martín, Héctor D. Menéndez, David Camacho
2016	J	`jnl`	ITect: Scalable Information Theoretic Similarity for Malware Detection. CoRR Sukriti Bhattacharya, Héctor D. Menéndez, Earl T. Barr, David Clark
2016	J	`jnl`	Medoid-based clustering using ant colony optimization. Swarm Intell. Héctor D. Menéndez, Fernando E. B. Otero, David Camacho
2016	Misc	`conf`	String-based Malware Detection for Android Environments. IDC Alejandro Martín, Héctor D. Menéndez, David Camacho
2016	—	`conf`	Studying the Influence of Static API Calls for Hiding Malware. CAEPIA Alejandro Martín, Héctor D. Menéndez, David Camacho
2015	C	`conf`	A tutorial on manifold clustering using genetic algorithms. INISTA Héctor D. Menéndez
2015	—	`conf`	Analyzing Planning and Monitoring Skills of Users in a Multi-UAV Simulation Environment. CAEPIA Víctor Rodríguez-Fernández, Héctor D. Menéndez, David Camacho
2015	—	`conf`	Design and development of a lightweight multi-UAV simulator. CYBCONF Víctor Rodríguez-Fernández, Héctor D. Menéndez, David Camacho
2015	B	`conf`	GANY: A genetic spectral-based Clustering algorithm for Large Data Analysis. CEC Héctor D. Menéndez, David Camacho
2015	—	`conf`	User Profile Analysis for UAV Operators in a Simulation Environment. ICCCI (1) Víctor Rodríguez-Fernández, Héctor D. Menéndez, David Camacho
2014	B	`conf`	A Co-Evolutionary Multi-Objective approach for a K-adaptive graph-based clustering algorithm. IEEE Congress on Evolutionary Computation Héctor D. Menéndez, David F. Barrero, David Camacho
2014	J	`jnl`	A Genetic Graph-Based Approach for Partitional Clustering. Int. J. Neural Syst. Héctor D. Menéndez, David F. Barrero, David Camacho
2014	C	`conf`	A Multi-Objective Graph-based Genetic Algorithm for image segmentation. INISTA Héctor D. Menéndez, David Camacho
2014	—	`conf`	Combinando series temporales y clustering para extraer perfiles evolutivos de jugadores. CoSECivi Rafael Vindel, Héctor D. Menéndez, David Camacho
2014	B	`conf`	Combining Time Series and Clustering to Extract Gamer Profile Evolution. ICCCI Héctor D. Menéndez, Rafael Vindel, David Camacho
2014	B	`conf`	Combining graph connectivity and genetic clustering to improve biomedical summarization. IEEE Congress on Evolutionary Computation Héctor D. Menéndez, Laura Plaza, David Camacho
2014	—	`conf`	MACOC: A Medoid-Based ACO Clustering Algorithm. ANTS Conference Héctor D. Menéndez, Fernando E. B. Otero, David Camacho
2014	Misc	`conf`	Mixed Clustering Methods to Forecast Baseball Trends. IDC Héctor D. Menéndez, Miguel Vázquez, David Camacho
2014	Misc	`conf`	SACOC: A Spectral-Based ACO Clustering Algorithm. IDC Héctor D. Menéndez, Fernando E. B. Otero, David Camacho
2014	C	`conf`	TweetSemMiner: A Meta-Topic Identification Model for Twitter Using Semantic Analysis. IDEAL Héctor D. Menéndez, Carlos Delgado-Calle, David Camacho
2013	B	`conf`	A Multi-Objective Genetic Graph-Based Clustering algorithm with memory optimization. IEEE Congress on Evolutionary Computation Héctor D. Menéndez, David F. Barrero, David Camacho
2013	—	`conf`	A genetic graph-based clustering approach to biomedical summarization. WIMS Héctor D. Menéndez, Laura Plaza, David Camacho
2013	B	`conf`	Extracting Collective Trends from Twitter Using Social-Based Data Mining. ICCCI Gema Bello Orgaz, Héctor D. Menéndez, Shintaro Okazaki, David Camacho
2013	J	`jnl`	Extracting behavioural models from 2010 FIFA world cup. J. Syst. Sci. Complex. Héctor D. Menéndez, Gema Bello Orgaz, David Camacho
2012	C	`conf`	A Genetic Graph-Based Clustering Algorithm. IDEAL Héctor D. Menéndez, David Camacho
2012	J	`jnl`	Adaptive k-Means Algorithm for Overlapped Graph Clustering. Int. J. Neural Syst. Gema Bello Orgaz, Héctor D. Menéndez, David Camacho
2012	—	`conf`	Features selection from high-dimensional web data using clustering analysis. WIMS Héctor D. Menéndez, Gema Bello Orgaz, David Camacho
2011	—	`conf`	Predicting Performance in Team Games - The Automatic Coach. ICAART (1) Guillermo Jiménez-Díaz, Héctor D. Menéndez, David Camacho, Pedro A. González-Calero
2011	C	`conf`	Using the Clustering Coefficient to Guide a Genetic-Based Communities Finding Algorithm. IDEAL Gema Bello Orgaz, Héctor D. Menéndez, David Camacho