Miguel León Ortiz

Orcid: 0000-0002-3425-3837

Affiliations:
  • 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.

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

Timeline

Legend:

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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
MIDAS: A Modular Ice Cream Factory Dataset on Anomalies in Sensors.
Dataset, December, 2022

Using NLP Tools to Detect Ambiguities in System Requirements - A Comparison Study.
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

Random Forest Based on Federated Learning for Intrusion Detection.
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
Adaptive differential evolution with a new joint parameter adaptation method.
Soft Comput., 2020

Impact of NSGA-II objectives on EEG feature selection related to motor imagery.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

2019
Improving differential Evolution with adaptive and Local Search Methods.
PhD thesis, 2019

A Novel Memetic Framework for Enhancing Differential Evolution Algorithms via Combination With Alopex Local Search.
Int. J. Comput. Intell. Syst., 2019

Unbounded Sparse Census Transform Using Genetic Algorithm.
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

A Deep Neural Network Model for Music Genre Recognition.
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
Alopex-based mutation strategy in Differential Evolution.
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

A New Differential Evolution Algorithm with Alopex-Based Local Search.
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

Eager Random Search for Differential Evolution in Continuous Optimization.
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


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