Esther Villar-Rodriguez
Orcid: 0000-0003-3343-3737
According to our database1,
Esther Villar-Rodriguez
authored at least 39 papers
between 2013 and 2024.
Collaborative distances:
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Bibliography
2024
CoRR, 2024
2023
IEEE Trans. Intell. Transp. Syst., August, 2023
Collaborative training of heterogeneous reinforcement learning agents in environments with sparse rewards: what and when to share?
Neural Comput. Appl., August, 2023
A Quantum Computing-based System for Portfolio Optimization using Future Asset Values and Automatic Reduction of the Investment Universe.
CoRR, 2023
Benchmark dataset and instance generator for Real-World Three-Dimensional Bin Packing Problems.
CoRR, 2023
Using Offline Data to Speed-up Reinforcement Learning in Procedurally Generated Environments.
CoRR, 2023
Hybrid Approach for Solving Real-World Bin Packing Problem Instances Using Quantum Annealers.
CoRR, 2023
Comput. Secur., 2023
Hybrid Classical-Quantum Computing: Are we Forgetting the Classical Part in the Binomial?
Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2023
Solving Logistic-Oriented Bin Packing Problems Through a Hybrid Quantum-Classical Approach.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023
Optimization of Image Acquisition for Earth Observation Satellites via Quantum Computing.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2023, 2023
2022
Digital Quantum Simulation and Circuit Learning for the Generation of Coherent States.
Entropy, 2022
On the Design of Graph Embeddings for the Sensorless Estimation of Road Traffic Profiles.
CoRR, 2022
IEEE Access, 2022
Analyzing the behaviour of D'WAVE quantum annealer: fine-tuning parameterization and tests with restrictive Hamiltonian formulations.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022
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
2021
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
2020
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
2019
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
2017
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
2016
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
2015
Design and Implementation of an Extended Corporate CRMDatabase System with Big Data Analytical Functionalities.
J. Univers. Comput. Sci., 2015
2014
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
2013
Proceedings of the Working Notes for CLEF 2013 Conference , 2013