Héctor D. Menéndez

Publication Activity (10 Years)

Years Active: 2011-2023
Publications (10 Years): 31

Top Topics

Test Generation

Malware Detection

Clustering Algorithm

Top Venues

Expert Syst. Appl.

IEEE Congress on Evolutionary Computation

Publications

Dan Bruce, David Kelly, Héctor D. Menéndez, Earl T. Barr, David Clark
June: A Type Testability Transformation for Improved ATG Performance. ISSTA (2023)
Héctor D. Menéndez, Luciano Bello, David Clark
Dynamic Output State Classification for Quantum Computers. Q-SE@ICSE (2023)
Harel Berger, Aidan Dakhama, Zishuo Ding, Karine Even-Mendoza, David Kelly, Héctor D. Menéndez, Rebecca Moussa, Federica Sarro
StableYolo: Optimizing Image Generation for Large Language Models. SSBSE (2023)
Héctor D. Menéndez, Gema Bello Orgaz
Stay Stress-Free with Complete Confidence: Trustworthiness of Autonomous Stress Detection Systems for Smart Devices. TAS (2023)
Aidan Dakhama, Karine Even-Mendoza, William B. Langdon, Héctor D. Menéndez, Justyna Petke
SearchGEM5: Towards Reliable Gem5 with Search Based Software Testing and Large Language Models. SSBSE (2023)
Héctor D. Menéndez, David Clark
Hashing Fuzzing: Introducing Input Diversity to Improve Crash Detection. IEEE Trans. Software Eng. 48 (9) (2022)
Héctor D. Menéndez, Guillermo Suarez-Tangil
ObfSec: Measuring the security of obfuscations from a testing perspective. Expert Syst. Appl. 210 (2022)
Héctor D. Menéndez
Measuring Machine Learning Robustness in front of Static and Dynamic Adversaries. ICTAI (2022)
Carlos Gavidia-Calderon, Héctor D. Menéndez
Ant colony optimization for software engineers. GECCO Companion (2022)
Héctor D. Menéndez, Michele Boreale, Daniele Gorla, David Clark
Output Sampling for Output Diversity in Automatic Unit Test Generation. IEEE Trans. Software Eng. 48 (2) (2022)
Héctor D. Menéndez, David Clark, Earl T. Barr
Getting Ahead of the Arms Race: Hothousing the Coevolution of VirusTotal with a Packer. Entropy 23 (4) (2021)
Iván García-Cobo, Héctor D. Menéndez
Designing large quantum key distribution networks via medoid-based algorithms. Future Gener. Comput. Syst. 115 (2021)
Héctor D. Menéndez, Gunel Jahangirova, Federica Sarro, Paolo Tonella, David Clark
Diversifying Focused Testing for Unit Testing. ACM Trans. Softw. Eng. Methodol. 30 (4) (2021)
Nadia Alshahwan, Earl T. Barr, David Clark, George Danezis, Héctor D. Menéndez
Detecting Malware with Information Complexity. Entropy 22 (5) (2020)
Dan Bruce, Héctor D. Menéndez, Earl T. Barr, David Clark
Ant Colony Optimization for Object-Oriented Unit Test Generation. ANTS Conference (2020)
Héctor D. Menéndez, José Luis Llorente
Mimicking Anti-Viruses with Machine Learning and Entropy Profiles. Entropy 21 (5) (2019)
Dan Bruce, Héctor D. Menéndez, David Clark
Dorylus: An Ant Colony Based Tool for Automated Test Case Generation. SSBSE (2019)
Héctor D. Menéndez, Sukriti Bhattacharya, David Clark, Earl T. Barr
The arms race: Adversarial search defeats entropy used to detect malware. Expert Syst. Appl. 118 (2019)
Héctor D. Menéndez
VARMOG: A Co-Evolutionary Algorithm to Identify Manifolds on Large Data. CEC (2019)
Alejandro Calleja, Alejandro Martín, Héctor D. Menéndez, Juan E. Tapiador, David Clark
Picking on the family: Disrupting android malware triage by forcing misclassification. Expert Syst. Appl. 95 (2018)
Alejandro Martín, Héctor D. Menéndez, David Camacho
MOCDroid: multi-objective evolutionary classifier for Android malware detection. Soft Comput. 21 (24) (2017)
Víctor Rodríguez-Fernández, Héctor D. Menéndez, David Camacho
Analysing temporal performance profiles of UAV operators using time series clustering. Expert Syst. Appl. 70 (2017)
Víctor Rodríguez-Fernández, Héctor D. Menéndez, David Camacho
A study on performance metrics and clustering methods for analyzing behavior in UAV operations. J. Intell. Fuzzy Syst. 32 (2) (2017)
Héctor D. Menéndez, Fernando E. B. Otero, David Camacho
Extending the SACOC algorithm through the Nyström method for dense manifold data analysis. Int. J. Bio Inspired Comput. 10 (2) (2017)
Alejandro Martín, Héctor D. Menéndez, David Camacho
Genetic boosting classification for malware detection. CEC (2016)
Alejandro Martín, Héctor D. Menéndez, David Camacho
Studying the Influence of Static API Calls for Hiding Malware. CAEPIA (2016)
Alejandro Martín, Héctor D. Menéndez, David Camacho
String-based Malware Detection for Android Environments. IDC (2016)
Héctor D. Menéndez, Fernando E. B. Otero, David Camacho
Medoid-based clustering using ant colony optimization. Swarm Intell. 10 (2) (2016)
Alejandro Martín, Alejandro Calleja, Héctor D. Menéndez, Juan E. Tapiador, David Camacho
ADROIT: Android malware detection using meta-information. SSCI (2016)
Sukriti Bhattacharya, Héctor D. Menéndez, Earl T. Barr, David Clark
ITect: Scalable Information Theoretic Similarity for Malware Detection. CoRR (2016)
Víctor Rodríguez-Fernández, Héctor D. Menéndez, David Camacho
Automatic profile generation for UAV operators using a simulation-based training environment. Prog. Artif. Intell. 5 (1) (2016)
Víctor Rodríguez-Fernández, Héctor D. Menéndez, David Camacho
User Profile Analysis for UAV Operators in a Simulation Environment. ICCCI (1) (2015)
Héctor D. Menéndez, David Camacho
GANY: A genetic spectral-based Clustering algorithm for Large Data Analysis. CEC (2015)
Héctor D. Menéndez
A tutorial on manifold clustering using genetic algorithms. INISTA (2015)
Víctor Rodríguez-Fernández, Héctor D. Menéndez, David Camacho
Design and development of a lightweight multi-UAV simulator. CYBCONF (2015)
Víctor Rodríguez-Fernández, Héctor D. Menéndez, David Camacho
Analyzing Planning and Monitoring Skills of Users in a Multi-UAV Simulation Environment. CAEPIA (2015)
Héctor D. Menéndez, David F. Barrero, David Camacho
A Co-Evolutionary Multi-Objective approach for a K-adaptive graph-based clustering algorithm. IEEE Congress on Evolutionary Computation (2014)
Héctor D. Menéndez, David F. Barrero, David Camacho
A Genetic Graph-Based Approach for Partitional Clustering. Int. J. Neural Syst. 24 (3) (2014)
Héctor D. Menéndez, Miguel Vázquez, David Camacho
Mixed Clustering Methods to Forecast Baseball Trends. IDC (2014)
Héctor D. Menéndez, Rafael Vindel, David Camacho
Combining Time Series and Clustering to Extract Gamer Profile Evolution. ICCCI (2014)
Héctor D. Menéndez, Fernando E. B. Otero, David Camacho
MACOC: A Medoid-Based ACO Clustering Algorithm. ANTS Conference (2014)
Héctor D. Menéndez, Fernando E. B. Otero, David Camacho
SACOC: A Spectral-Based ACO Clustering Algorithm. IDC (2014)
Rafael Vindel, Héctor D. Menéndez, David Camacho
Combinando series temporales y clustering para extraer perfiles evolutivos de jugadores. CoSECivi (2014)
Héctor D. Menéndez, Carlos Delgado-Calle, David Camacho
TweetSemMiner: A Meta-Topic Identification Model for Twitter Using Semantic Analysis. IDEAL (2014)
Héctor D. Menéndez, Laura Plaza, David Camacho
Combining graph connectivity and genetic clustering to improve biomedical summarization. IEEE Congress on Evolutionary Computation (2014)
Héctor D. Menéndez, David Camacho
A Multi-Objective Graph-based Genetic Algorithm for image segmentation. INISTA (2014)
Héctor D. Menéndez, David F. Barrero, David Camacho
A Multi-Objective Genetic Graph-Based Clustering algorithm with memory optimization. IEEE Congress on Evolutionary Computation (2013)
Gema Bello Orgaz, Héctor D. Menéndez, Shintaro Okazaki, David Camacho
Extracting Collective Trends from Twitter Using Social-Based Data Mining. ICCCI (2013)
Héctor D. Menéndez, Gema Bello Orgaz, David Camacho
Extracting behavioural models from 2010 FIFA world cup. J. Syst. Sci. Complex. 26 (1) (2013)
Héctor D. Menéndez, Laura Plaza, David Camacho
A genetic graph-based clustering approach to biomedical summarization. WIMS (2013)
Héctor D. Menéndez, David Camacho
A Genetic Graph-Based Clustering Algorithm. IDEAL (2012)
Héctor D. Menéndez, Gema Bello Orgaz, David Camacho
Features selection from high-dimensional web data using clustering analysis. WIMS (2012)
Gema Bello Orgaz, Héctor D. Menéndez, David Camacho
Adaptive k-Means Algorithm for Overlapped Graph Clustering. Int. J. Neural Syst. 22 (5) (2012)
Gema Bello Orgaz, Héctor D. Menéndez, David Camacho
Using the Clustering Coefficient to Guide a Genetic-Based Communities Finding Algorithm. IDEAL (2011)
Guillermo Jiménez-Díaz, Héctor D. Menéndez, David Camacho, Pedro A. González-Calero
Predicting Performance in Team Games - The Automatic Coach. ICAART (1) (2011)