Miguel León Ortiz
Orcid: 0000-0002-3425-3837Affiliations:
- Malardalen University, School of Innovation, Design and Engineering Vasteras, Sweden
According to our database1,
Miguel León Ortiz
authored at least 34 papers
between 2014 and 2024.
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Bibliography
2024
Random forest with differential privacy in federated learning framework for network attack detection and classification.
Appl. Intell., September, 2024
Network Intrusion Detection using Machine Learning on Resource-Constrained Edge Devices.
Proceedings of the International Joint Conference on Neural Networks, 2024
2023
A Modular Ice Cream Factory Dataset on Anomalies in Sensors to Support Machine Learning Research in Manufacturing Systems.
IEEE Access, 2023
Enhanced Simulation Environment to Support Research in Modular Manufacturing Systems.
Proceedings of the 49th Annual Conference of the IEEE Industrial Electronics Society, 2023
Federated Learning for Network Anomaly Detection in a Distributed Industrial Environment.
Proceedings of the International Conference on Machine Learning and Applications, 2023
Multi-Objective Optimization on Autoencoder for Feature Encoding and Attack Detection on Network Data.
Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023
Time-series Anomaly Detection and Classification with Long Short-Term Memory Network on Industrial Manufacturing Systems.
Proceedings of the 18th Conference on Computer Science and Intelligence Systems, 2023
2022
Dataset, December, 2022
Proceedings of the Joint Proceedings of REFSQ-2022 Workshops, 2022
Comparative Evaluation of Machine Learning Algorithms for Network Intrusion Detection and Attack Classification.
Proceedings of the International Joint Conference on Neural Networks, 2022
Proceedings of the Artificial Intelligence Applications and Innovations, 2022
Feature encoding with autoencoder and differential evolution for network intrusion detection using machine learning.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022
2021
The genetic algorithm census transform: evaluation of census windows of different size and level of sparseness through hardware in-the-loop training.
J. Real Time Image Process., 2021
2020
Soft Comput., 2020
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020
2019
PhD thesis, 2019
A Novel Memetic Framework for Enhancing Differential Evolution Algorithms via Combination With Alopex Local Search.
Int. J. Comput. Intell. Syst., 2019
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019
Discriminating EEG spectral power related to mental imagery of closing and opening of hand.
Proceedings of the 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER), 2019
Proceedings of the Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery - Proceedings of the 15th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD 2019), Kunming, China, July 20-22, 2019, 2019
Feature Selection of EEG Oscillatory Activity Related to Motor Imagery Using a Hierarchical Genetic Algorithm.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019
2018
MPADE: An Improved Adaptive Multi-Population Differential Evolution Algorithm Based on JADE.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018
Enhancing Adaptive Differential Evolution Algorithms with Rank-Based Mutation Adaptation.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018
2017
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017
2016
Adapting Differential Evolution Algorithms For Continuous Optimization Via Greedy Adjustment Of Control Parameters.
J. Artif. Intell. Soft Comput. Res., 2016
Proceedings of the Artificial Intelligence and Soft Computing, 2016
Differential Evolution based on Decomposition for Solving Multi-objective Optimization Problems.
Proceedings of the 8th International Conference on Agents and Artificial Intelligence (ICAART 2016), 2016
Designing optimal harmonic filters in power systems using greedy adaptive Differential Evolution.
Proceedings of the 21st IEEE International Conference on Emerging Technologies and Factory Automation, 2016
2015
A Walk into Metaheuristics for Engineering Optimization: Principles, Methods and Recent Trends.
Int. J. Comput. Intell. Syst., 2015
Adaptive Differential Evolution Supports Automatic Model Calibration in Furnace Optimized Control System.
Proceedings of the Computational Intelligence - International Joint Conference, 2015
Application of Adaptive Differential Evolution for Model Identification in Furnace Optimized Control System.
Proceedings of the 7th International Joint Conference on Computational Intelligence (IJCCI 2015), 2015
Proceedings of the Progress in Artificial Intelligence, 2015
Greedy adaptation of control parameters in differential evolution for global optimization problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015
2014
Investigation of Mutation Strategies in Differential Evolution for Solving Global Optimization Problems.
Proceedings of the Artificial Intelligence and Soft Computing, 2014