Publicaciones (57) Publicaciones de MIREN NEKANE BILBAO MARON

2024

  1. Balancing Performance, Efficiency and Robustness in Open-World Machine Learning via Evolutionary Multi-objective Model Compression

    Proceedings of the International Joint Conference on Neural Networks

2023

  1. Evolutionary Multi-Objective Quantization of Randomization-Based Neural Networks

    2023 IEEE Symposium Series on Computational Intelligence, SSCI 2023

2022

  1. Efficient Fake News Detection using Bagging Ensembles of Bidirectional Echo State Networks

    Proceedings of the International Joint Conference on Neural Networks

  2. On the post-hoc explainability of deep echo state networks for time series forecasting, image and video classification

    Neural Computing and Applications, Vol. 34, Núm. 13, pp. 10257-10277

2021

  1. Innovation Policies and Big Data: Opportunities and Challenges

    Emerging Communication: Studies in New Technologies and Practices in Communication (IOS Press BV), pp. 159-181

  2. More is not Always Better: Insights from a Massive Comparison of Meta-heuristic Algorithms over Real-Parameter Optimization Problems

    2021 IEEE Symposium Series on Computational Intelligence, SSCI 2021 - Proceedings

2020

  1. Community detection in networks using bio-inspired optimization: Latest developments, new results and perspectives with a selection of recent meta-heuristics

    Applied Soft Computing Journal, Vol. 87

  2. Deep Echo State Networks for Short-Term Traffic Forecasting: Performance Comparison and Statistical Assessment

    2020 IEEE 23rd International Conference on Intelligent Transportation Systems, ITSC 2020

2019

  1. Dynamic Partitioning of Evolving Graph Streams Using Nature-Inspired Heuristics

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  2. Return, Diversification and Risk in Cryptocurrency Portfolios using Deep Recurrent Neural Networks and Multi-Objective Evolutionary Algorithms

    2019 IEEE Congress on Evolutionary Computation, CEC 2019 - Proceedings

  3. Road Traffic Forecasting using Stacking Ensembles of Echo State Networks

    2019 IEEE Intelligent Transportation Systems Conference, ITSC 2019

  4. Trophallaxis, low-power vision sensors and multi-objective heuristics for 3D scene reconstruction using swarm robotics

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2018

  1. A bio-inspired approach for collaborative exploration with mobile battery recharging in swarm robotics

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  2. A discrete water cycle algorithm for solving the symmetric and asymmetric traveling salesman problem

    Applied Soft Computing Journal, Vol. 71, pp. 277-290

  3. A heuristic approach to the multicriteria design of IaaS cloud infrastructures for Big Data applications

    Expert Systems

  4. Big Data for transportation and mobility: Recent advances, trends and challenges

    IET Intelligent Transport Systems, Vol. 12, Núm. 8, pp. 742-755

  5. Concept tracking and adaptation for drifting data streams under extreme verification latency

    Studies in Computational Intelligence (Springer Verlag), pp. 11-25

  6. Cost-efficient deployment of multi-hop wireless networks over disaster areas using multi-objective meta-heuristics

    Neurocomputing, Vol. 271, pp. 18-27

  7. DRED: An evolutionary diversity generation method for concept drift adaptation in online learning environments

    Applied Soft Computing Journal, Vol. 68, pp. 693-709

  8. Drift detection over non-stationary data streams using evolving spiking neural networks

    Studies in Computational Intelligence (Springer Verlag), pp. 82-94