Using Linked Open Data Sources for Entity Disambiguation. - Esther Villar-Rodriguez; Ana I. Torre-Bastida; Ana García-Serrano; Martín González-Rodríguez (CLEF (Working Notes), 2013)

Semantic Information Fusion of Linked Open Data and Social Big Data for the Creation of an Extended Corporate CRM Database. - Ana I. Torre-Bastida; Esther Villar-Rodriguez; Javier Del Ser; Sergio Gil-Lopez (IDC, 2014)

On a Machine Learning Approach for the Detection of Impersonation Attacks in Social Networks. - Esther Villar-Rodriguez; Javier Del Ser; Sancho Salcedo-Sanz (IDC, 2014)

On Interlinking Linked Data Sources by Using Ontology Matching Techniques and the Map-Reduce Framework. - Ana I. Torre-Bastida; Esther Villar-Rodriguez; Javier Del Ser; David Camacho; Martín González-Rodríguez (IDEAL, 2014)

Design and Implementation of an Extended Corporate CRMDatabase System with Big Data Analytical Functionalities. - Ana I. Torre-Bastida; Esther Villar-Rodriguez; Sergio Gil-Lopez; Javier Del Ser (J. Univers. Comput. Sci., 2015)

Community detection in graphs based on surprise maximization using firefly heuristics. - Javier Del Ser; Jesus L. Lobo; Esther Villar-Rodriguez; Miren Nekane Bilbao; Cristina Perfecto (CEC, 2016)

A novel adaptive density-based ACO algorithm with minimal encoding redundancy for clustering problems. - Esther Villar-Rodriguez; Antonio González-Pardo; Javier Del Ser; Miren Nekane Bilbao; Sancho Salcedo-Sanz (CEC, 2016)

Intelligent SPARQL Endpoints: Optimizing Execution Performance by Automatic Query Relaxation and Queue Scheduling. - Ana I. Torre-Bastida; Esther Villar-Rodriguez; Miren Nekane Bilbao; Javier Del Ser (ICA3PP, 2016)

A novel machine learning approach to the detection of identity theft in social networks based on emulated attack instances and support vector machines. - Esther Villar-Rodriguez; Javier Del Ser; Ana I. Torre-Bastida; Miren Nekane Bilbao; Sancho Salcedo-Sanz (Concurr. Comput. Pract. Exp., 2016)

A feature selection method for author identification in interactive communications based on supervised learning and language typicality. - Esther Villar-Rodriguez; Javier Del Ser; Miren Nekane Bilbao; Sancho Salcedo-Sanz (Eng. Appl. Artif. Intell., 2016)

On the Creation of Diverse Ensembles for Nonstationary Environments Using Bio-inspired Heuristics. - Jesus L. Lobo; Javier Del Ser; Esther Villar-Rodriguez; Miren Nekane Bilbao; Sancho Salcedo-Sanz (ICHSA, 2017)

A meta-heuristic learning approach for the non-intrusive detection of impersonation attacks in social networks. - Esther Villar-Rodriguez; Javier Del Ser; Sergio Gil-Lopez; Miren Nekane Bilbao; Sancho Salcedo-Sanz (Int. J. Bio Inspired Comput., 2017)

A Question of Trust: Statistical Characterization of Long-Term Traffic Estimations for their Improved Actionability. - Ibai Laña; Esther Villar-Rodriguez; Urtats Etxegarai; Izaskun Oregi; Javier Del Ser (ITSC, 2019)

A Coevolutionary Variable Neighborhood Search Algorithm for Discrete Multitasking (CoVNS): Application to Community Detection over Graphs. - Eneko Osaba; Esther Villar-Rodriguez; Javier Del Ser (SSCI, 2020)

Hybrid Quantum Computing - Tabu Search Algorithm for Partitioning Problems: Preliminary Study on the Traveling Salesman Problem. - Eneko Osaba; Esther Villar-Rodriguez; Izaskun Oregi; Aitor Moreno-Fernandez-de-Leceta (CEC, 2021)

Focusing on the hybrid quantum computing - Tabu search algorithm: new results on the Asymmetric Salesman Problem. - Eneko Osaba; Esther Villar-Rodriguez; Izaskun Oregi; Aitor Moreno-Fernandez-de-Leceta (GECCO Companion, 2021)

Collaborative Exploration and Reinforcement Learning between Heterogeneously Skilled Agents in Environments with Sparse Rewards. - Alain Andres; Esther Villar-Rodriguez; Aritz D. Martinez; Javier Del Ser (IJCNN, 2021)

Lights and shadows in Evolutionary Deep Learning: Taxonomy, critical methodological analysis, cases of study, learned lessons, recommendations and challenges. - Aritz D. Martinez; Javier Del Ser; Esther Villar-Rodriguez; Eneko Osaba; Javier Poyatos; Siham Tabik; Daniel Molina; Francisco Herrera (Inf. Fusion, 2021)

A Tutorial On the design, experimentation and application of metaheuristic algorithms to real-World optimization problems. - Eneko Osaba; Esther Villar-Rodriguez; Javier Del Ser; Antonio J. Nebro; Daniel Molina; Antonio LaTorre; Ponnuthurai N. Suganthan; Carlos A. Coello Coello; Francisco Herrera (Swarm Evol. Comput., 2021)

An Evaluation Study of Intrinsic Motivation Techniques Applied to Reinforcement Learning over Hard Exploration Environments. - Alain Andres; Esther Villar-Rodriguez; Javier Del Ser (CD-MAKE, 2022)

Hybrid quantum-classical heuristic for the bin packing problem. - Mikel Garcia de Andoin; Eneko Osaba; Izaskun Oregi; Esther Villar-Rodriguez; Mikel Sanz (GECCO Companion, 2022)

Comparative Benchmark of a Quantum Algorithm for the Bin Packing Problem. - Mikel Garcia de Andoin; Izaskun Oregi; Esther Villar-Rodriguez; Eneko Osaba; Mikel Sanz (SSCI, 2022)

Towards Improving Exploration in Self-Imitation Learning using Intrinsic Motivation. - Alain Andres; Esther Villar-Rodriguez; Javier Del Ser (SSCI, 2022)

Analyzing the behaviour of D'WAVE quantum annealer: fine-tuning parameterization and tests with restrictive Hamiltonian formulations. - Esther Villar-Rodriguez; Eneko Osaba; Izaskun Oregi (SSCI, 2022)

A Systematic Literature Review of Quantum Computing for Routing Problems. - Eneko Osaba; Esther Villar-Rodriguez; Izaskun Oregi (IEEE Access, 2022)

On the Design of Graph Embeddings for the Sensorless Estimation of Road Traffic Profiles. - Eric L. Manibardo; Ibai Laña; Esther Villar-Rodriguez; Javier Del Ser (CoRR, 2022)

Digital Quantum Simulation and Circuit Learning for the Generation of Coherent States. - Ruilin Liu; Sebastián V. Romero; Izaskun Oregi; Eneko Osaba; Esther Villar-Rodriguez; Yue Ban (Entropy, 2022)

Optimization of Image Acquisition for Earth Observation Satellites via Quantum Computing. - Antón Makarov; Márcio M. Taddei; Eneko Osaba; Giacomo Franceschetto; Esther Villar-Rodriguez; Izaskun Oregi (IDEAL, 2023)

Solving Logistic-Oriented Bin Packing Problems Through a Hybrid Quantum-Classical Approach. - Sebastián V. Romero; Eneko Osaba; Esther Villar-Rodriguez; Antón Asla (ITSC, 2023)

Hybrid Classical-Quantum Computing: Are we Forgetting the Classical Part in the Binomial? - Esther Villar-Rodriguez; Aitor Gomez-Tejedor; Eneko Osaba (QCE, 2023)

Edge intelligence secure frameworks: Current state and future challenges. - Esther Villar-Rodriguez; María Arostegi Pérez; Ana I. Torre-Bastida; Cristina Regueiro Senderos; Juan López-de-Armentia (Comput. Secur., 2023)

Hybrid Approach for Solving Real-World Bin Packing Problem Instances Using Quantum Annealers. - Sebastián V. Romero; Eneko Osaba; Esther Villar-Rodriguez; Izaskun Oregi; Yue Ban (CoRR, 2023)

Using Offline Data to Speed-up Reinforcement Learning in Procedurally Generated Environments. - Alain Andres; Lukas Schäfer 001; Esther Villar-Rodriguez; Stefano V. Albrecht; Javier Del Ser (CoRR, 2023)

Benchmark dataset and instance generator for Real-World Three-Dimensional Bin Packing Problems. - Eneko Osaba; Esther Villar-Rodriguez; Sebastián V. Romero (CoRR, 2023)

A Quantum Computing-based System for Portfolio Optimization using Future Asset Values and Automatic Reduction of the Investment Universe. - Eneko Osaba; Guillaume Gelabert; Esther Villar-Rodriguez; Antón Asla; Izaskun Oregi (CoRR, 2023)

Collaborative training of heterogeneous reinforcement learning agents in environments with sparse rewards: what and when to share? - Alain Andres; Esther Villar-Rodriguez; Javier Del Ser (Neural Comput. Appl., 2023)

A Graph-Based Methodology for the Sensorless Estimation of Road Traffic Profiles. - Eric L. Manibardo; Ibai Laña; Esther Villar-Rodriguez; Javier Del Ser (IEEE Trans. Intell. Transp. Syst., 2023)

Hybrid Quantum Solvers in Production: How to Succeed in the NISQ Era? - Eneko Osaba; Esther Villar-Rodriguez; Aitor Gomez-Tejedor; Izaskun Oregi (IDEAL (2), 2024)

Exploring Utility in a Real-World Warehouse Optimization Problem: Formulation Based on Quantum Annealers and Preliminary Results. - Eneko Osaba; Esther Villar-Rodriguez; Antón Asla (QCE, 2024)

Quantum Optimization Methods for Satellite Mission Planning. - Antón Makarov; Carlos Pérez-Herradón; Giacomo Franceschetto; Márcio M. Taddei; Eneko Osaba; Paloma del Barrio Cabello; Esther Villar-Rodriguez; Izaskun Oregi (IEEE Access, 2024)

Solving a Real-World Package Delivery Routing Problem Using Quantum Annealers. - Eneko Osaba; Esther Villar-Rodriguez; Antón Asla (CoRR, 2024)

QOPTLib: a Quantum Computing Oriented Benchmark for Combinatorial Optimization Problems. - Eneko Osaba; Esther Villar-Rodriguez (CoRR, 2024)

On the Transfer of Knowledge in Quantum Algorithms. - Esther Villar-Rodriguez; Eneko Osaba; Izaskun Oregi; Sebastián V. Romero; Julián Ferreiro-Vélez (CoRR, 2025)

Transfer of Knowledge through Reverse Annealing: A Preliminary Analysis of the Benefits and What to Share. - Eneko Osaba; Esther Villar-Rodriguez (CoRR, 2025)

Optimizing Package Delivery with Quantum Annealers: Addressing Time-Windows and Simultaneous Pickup and Delivery. - Eneko Osaba; Esther Villar-Rodriguez; Pablo Miranda-Rodriguez; Antón Asla (CoRR, 2025)

Addressing the Minor-Embedding Problem in Quantum Annealing and Evaluating State-of-the-Art Algorithm Performance. - Aitor Gomez-Tejedor; Eneko Osaba; Esther Villar-Rodriguez (CoRR, 2025)

Exploring the application of quantum technologies to industrial and real-world use cases. - Eneko Osaba; Esther Villar-Rodriguez; Izaskun Oregi (J. Supercomput., 2025)