MIREN NEKANE
BILBAO MARON
PROFESORADO TITULAR DE UNIVERSIDAD
Publications (57) MIREN NEKANE BILBAO MARON publications
2024
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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
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Evolutionary Multi-Objective Quantization of Randomization-Based Neural Networks
2023 IEEE Symposium Series on Computational Intelligence, SSCI 2023
2022
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Efficient Fake News Detection using Bagging Ensembles of Bidirectional Echo State Networks
Proceedings of the International Joint Conference on Neural Networks
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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
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Innovation Policies and Big Data: Opportunities and Challenges
Emerging Communication: Studies in New Technologies and Practices in Communication (IOS Press BV), pp. 159-181
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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
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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
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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
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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)
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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
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Road Traffic Forecasting using Stacking Ensembles of Echo State Networks
2019 IEEE Intelligent Transportation Systems Conference, ITSC 2019
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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
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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)
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A discrete water cycle algorithm for solving the symmetric and asymmetric traveling salesman problem
Applied Soft Computing Journal, Vol. 71, pp. 277-290
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A heuristic approach to the multicriteria design of IaaS cloud infrastructures for Big Data applications
Expert Systems
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Big Data for transportation and mobility: Recent advances, trends and challenges
IET Intelligent Transport Systems, Vol. 12, Núm. 8, pp. 742-755
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Concept tracking and adaptation for drifting data streams under extreme verification latency
Studies in Computational Intelligence (Springer Verlag), pp. 11-25
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Cost-efficient deployment of multi-hop wireless networks over disaster areas using multi-objective meta-heuristics
Neurocomputing, Vol. 271, pp. 18-27
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DRED: An evolutionary diversity generation method for concept drift adaptation in online learning environments
Applied Soft Computing Journal, Vol. 68, pp. 693-709
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Drift detection over non-stationary data streams using evolving spiking neural networks
Studies in Computational Intelligence (Springer Verlag), pp. 82-94