Esther Villar-Rodriguez

According to our database1, Esther Villar-Rodriguez authored at least 25 papers between 2013 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.



In proceedings 
PhD thesis 


Online presence:



Analyzing the behaviour of D'WAVE quantum annealer: fine-tuning parameterization and tests with restrictive Hamiltonian formulations.
CoRR, 2022

Collaborative Training of Heterogeneous Reinforcement Learning Agents in Environments with Sparse Rewards: What and When to Share?
CoRR, 2022

On the Design of Graph Embeddings for the Sensorless Estimation of Road Traffic Profiles.
CoRR, 2022

A Systematic Literature Review of Quantum Computing for Routing Problems.
IEEE Access, 2022

Hybrid quantum-classical heuristic for the bin packing problem.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

An Evaluation Study of Intrinsic Motivation Techniques Applied to Reinforcement Learning over Hard Exploration Environments.
Proceedings of the Machine Learning and Knowledge Extraction, 2022

A Tutorial On the design, experimentation and application of metaheuristic algorithms to real-World optimization problems.
Swarm Evol. Comput., 2021

Lights and shadows in Evolutionary Deep Learning: Taxonomy, critical methodological analysis, cases of study, learned lessons, recommendations and challenges.
Inf. Fusion, 2021

Collaborative Exploration and Reinforcement Learning between Heterogeneously Skilled Agents in Environments with Sparse Rewards.
Proceedings of the International Joint Conference on Neural Networks, 2021

Focusing on the hybrid quantum computing - Tabu search algorithm: new results on the Asymmetric Salesman Problem.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

Hybrid Quantum Computing - Tabu Search Algorithm for Partitioning Problems: Preliminary Study on the Traveling Salesman Problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021

A Coevolutionary Variable Neighborhood Search Algorithm for Discrete Multitasking (CoVNS): Application to Community Detection over Graphs.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

A Question of Trust: Statistical Characterization of Long-Term Traffic Estimations for their Improved Actionability.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

A meta-heuristic learning approach for the non-intrusive detection of impersonation attacks in social networks.
Int. J. Bio Inspired Comput., 2017

On the Creation of Diverse Ensembles for Nonstationary Environments Using Bio-inspired Heuristics.
Proceedings of the Harmony Search Algorithm, 2017

A feature selection method for author identification in interactive communications based on supervised learning and language typicality.
Eng. Appl. Artif. Intell., 2016

A novel machine learning approach to the detection of identity theft in social networks based on emulated attack instances and support vector machines.
Concurr. Comput. Pract. Exp., 2016

Intelligent SPARQL Endpoints: Optimizing Execution Performance by Automatic Query Relaxation and Queue Scheduling.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2016

A novel adaptive density-based ACO algorithm with minimal encoding redundancy for clustering problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Community detection in graphs based on surprise maximization using firefly heuristics.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Design and Implementation of an Extended Corporate CRMDatabase System with Big Data Analytical Functionalities.
J. Univers. Comput. Sci., 2015

On Interlinking Linked Data Sources by Using Ontology Matching Techniques and the Map-Reduce Framework.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2014, 2014

On a Machine Learning Approach for the Detection of Impersonation Attacks in Social Networks.
Proceedings of the Intelligent Distributed Computing VIII, 2014

Semantic Information Fusion of Linked Open Data and Social Big Data for the Creation of an Extended Corporate CRM Database.
Proceedings of the Intelligent Distributed Computing VIII, 2014

Using Linked Open Data Sources for Entity Disambiguation.
Proceedings of the Working Notes for CLEF 2013 Conference , 2013