A Guide to the Literature on Inferring Genetic Networks by Probabilistic Graphical Models. - Pedro Larrañaga; Iñaki Inza; Jose Luis Flores 001 (Data Analysis and Visualization in Genomics and Proteomics, 2005)

Wrapper discretization by means of estimation of distribution algorithms. - Jose Luis Flores 001; Iñaki Inza; Pedro Larrañaga (Intell. Data Anal., 2007)

A review of estimation of distribution algorithms in bioinformatics. - Rubén Armañanzas; Iñaki Inza; Roberto Santana 001; Yvan Saeys; Jose Luis Flores 001; José Antonio Lozano 001; Yves Van de Peer; Rosa Blanco; Víctor Robles; Concha Bielza; Pedro Larrañaga (BioData Min., 2008)

A new measure for gene expression biclustering based on non-parametric correlation. - Jose Luis Flores 001; Iñaki Inza; Pedro Larrañaga; Borja Calvo (Comput. Methods Programs Biomed., 2013)

Runtime Vulnerability Discovery as a Service on Industrial Internet of Things (IIoT) Systems. - Jose Luis Flores 001; Imanol Mugarza (ETFA, 2018)

Software-Defined Networking to Improve Cybersecurity in Manufacturing Oriented Interoperability Ecosystems. - Francisco Fraile; Jose Luis Flores 001; Raul Poler; Eduardo Saiz (I-ESA, 2018)

A Scaffolding Design Framework for Developing Secure Interoperability Components in Digital Manufacturing Platforms. - Francisco Fraile; Jose Luis Flores 001; Víctor Anaya; Eduardo Saiz; Raul Poler (IEEE Conf. on Intelligent Systems, 2018)

Supervised non-parametric discretization based on Kernel density estimation. - Jose Luis Flores 001; Borja Calvo; Aritz Pérez (Pattern Recognit. Lett., 2019)

ARES: Automated Risk Estimation in Smart Sensor Environments. - Athanasios Dimitriadis; Jose Luis Flores 001; Boonserm Kulvatunyou; Nenad Ivezic; Ioannis Mavridis (Sensors, 2020)

Security Issues and Software Updates Management in the Industrial Internet of Things (IIoT) Era. - Imanol Mugarza; Jose Luis Flores 001; Jose Luis Montero (Sensors, 2020)

Towards Automatic and Portable Data Loading Template Attacks on Microcontrollers. - Unai Rioja; Lejla Batina; Jose Luis Flores 001; Igor Armendariz (ISQED, 2021)

Auto-tune POIs: Estimation of distribution algorithms for efficient side-channel analysis. - Unai Rioja; Lejla Batina; Jose Luis Flores 001; Igor Armendariz (Comput. Networks, 2021)

Fuzzing the Internet of Things: A Review on the Techniques and Challenges for Efficient Vulnerability Discovery in Embedded Systems. - Maialen Eceiza; Jose Luis Flores 001; Mikel Iturbe (IEEE Internet Things J., 2021)

Contextualized Filtering for Shared Cyber Threat Information. - Athanasios Dimitriadis; Christos Prassas; Jose Luis Flores 001; Boonserm Kulvatunyou; Nenad Ivezic; Dimitris Gritzalis; Ioannis Mavridis (Sensors, 2021)

Non-parametric discretization for probabilistic labeled data. - Jose Luis Flores 001; Borja Calvo; Aritz Pérez (Pattern Recognit. Lett., 2022)

A Novel Model for Vulnerability Analysis through Enhanced Directed Graphs and Quantitative Metrics. - Ángel Longueira-Romero; Rosa Iglesias; Jose Luis Flores 001; Iñaki Garitano (Sensors, 2022)

Towards Human Dependency Elimination: AI Approach to SCA Robustness Assessment. - Unai Rioja; Lejla Batina; Igor Armendariz; Jose Luis Flores 001 (IEEE Trans. Inf. Forensics Secur., 2022)

Optimization Techniques and Formal Verification for the Software Design of Boolean Algebra Based Safety-Critical Systems. - Jon Pérez 001; Jose Luis Flores 001; Christian Blum 001; Jesús Cerquides; Alex Abuin (IEEE Trans. Ind. Informatics, 2022)

A Practical Framework for Evaluating Cybersecurity Tools Leveraging the IEC62443 Standard. - Anas Husseis; Jose Luis Flores 001 (ICCST, 2023)

Enhancing Cybersecurity Proactive Decision-Making Through Attack Tree Analysis and MITRE Framework. - Anas Husseis; Jose Luis Flores 001; Andrej Bregar; Giovanni Mazzeo; Luigi Coppolino (ICCST, 2023)

Federated Explainability for Network Anomaly Characterization. - Xabier Sáez de Cámara; Jose Luis Flores 001; Cristóbal Arellano; Aitor Urbieta; Urko Zurutuza (RAID, 2023)

Clustered federated learning architecture for network anomaly detection in large scale heterogeneous IoT networks. - Xabier Sáez de Cámara; Jose Luis Flores 001; Cristóbal Arellano; Aitor Urbieta; Urko Zurutuza (Comput. Secur., 2023)

Improving fuzzing assessment methods through the analysis of metrics and experimental conditions. - Maialen Eceiza; Jose Luis Flores 001; Mikel Iturbe (Comput. Secur., 2023)

Gotta Catch 'em All: Aggregating CVSS Scores. - Ángel Longueira-Romero; Jose Luis Flores 001; Rosa Iglesias; Iñaki Garitano (CoRR, 2023)

GPU Devices for Safety-Critical Systems: A Survey. - Jon Pérez-Cerrolaza; Jaume Abella 001; Leonidas Kosmidis; Alejandro J. Calderón; Francisco J. Cazorla; Jose Luis Flores 001 (ACM Comput. Surv., 2023)

Gotham Testbed: A Reproducible IoT Testbed for Security Experiments and Dataset Generation. - Xabier Sáez de Cámara; Jose Luis Flores 001; Cristóbal Arellano; Aitor Urbieta; Urko Zurutuza (IEEE Trans. Dependable Secur. Comput., 2024)

Artificial Intelligence for Safety-Critical Systems in Industrial and Transportation Domains: A Survey. - Jon Pérez-Cerrolaza; Jaume Abella 001; Markus Borg; Carlo Donzella; Jesús Cerquides; Francisco J. Cazorla; Cristofer Englund; Markus Tauber; George Nikolakopoulos; Jose Luis Flores 001 (ACM Comput. Surv., 2024)

Keep it unbiased: a comparison between estimation of distribution algorithms and deep learning for human interaction-free side-channel analysis. - Unai Rioja; Lejla Batina; Igor Armendariz; Jose Luis Flores 001 (J. Cryptogr. Eng., 2024)

GAFLERNA Ahoy! Integrating EM Side-Channel Analysis into Traditional Fuzzing Workflows. - Jorge Barredo; Justyna Petke; David Clark 001; Daniel Blackwell; Maialen Eceiza; Jose Luis Flores 001; Mikel Iturbe (SIGSOFT FSE Companion, 2025)

CARNYX: A framework for vulnerability detection via power consumption analysis in embedded systems. - Jorge Barredo; Maialen Eceiza; Jose Luis Flores 001; Mikel Iturbe (Int. J. Inf. Sec., 2025)