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ORCIDMiguel León Ortiz
Person information
- affiliation: Malardalen University, School of Innovation, Design and Engineering Vasteras, Sweden
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Books and Theses
- 2019
[b1]Miguel Leon:
Improving differential Evolution with adaptive and Local Search Methods. Mälardalen University College, Västerås, Eskilstuna, Sweden, 2019
Journal Articles
- 2024
- [j7]Tijana Markovic, Miguel León Ortiz
, David Buffoni, Sasikumar Punnekkat:
Random forest with differential privacy in federated learning framework for network attack detection and classification. Appl. Intell. 54(17-18): 8132-8153 (2024) - 2023
- [j6]Tijana Markovic, Miguel Leon, Björn Leander, Sasikumar Punnekkat:
A Modular Ice Cream Factory Dataset on Anomalies in Sensors to Support Machine Learning Research in Manufacturing Systems. IEEE Access 11: 29744-29758 (2023) - 2021
- [j5]Carl Ahlberg, Miguel Leon, Fredrik Ekstrand, Mikael Ekström:
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. 18(3): 539-559 (2021) - 2020
- [j4]Miguel Leon, Ning Xiong:
Adaptive differential evolution with a new joint parameter adaptation method. Soft Comput. 24(17): 12801-12819 (2020) - 2019
- [j3]Miguel León Ortiz, Ning Xiong, Daniel Molina, Francisco Herrera:
A Novel Memetic Framework for Enhancing Differential Evolution Algorithms via Combination With Alopex Local Search. Int. J. Comput. Intell. Syst. 12(2): 795-808 (2019) - 2016
- [j2]Miguel León Ortiz, Ning Xiong:
Adapting Differential Evolution Algorithms For Continuous Optimization Via Greedy Adjustment Of Control Parameters. J. Artif. Intell. Soft Comput. Res. 6(2): 103 (2016) - 2015
- [j1]Ning Xiong, Daniel Molina, Miguel León Ortiz, Francisco Herrera:
A Walk into Metaheuristics for Engineering Optimization: Principles, Methods and Recent Trends. Int. J. Comput. Intell. Syst. 8(4): 606-636 (2015)
Conference and Workshop Papers
- 2024
- [c25]Pontus Lidholm, Tijana Markovic, Miguel Leon, Per Erik Strandberg:
Network Intrusion Detection using Machine Learning on Resource-Constrained Edge Devices. IJCNN 2024: 1-8 - 2023
- [c24]Tijana Markovic, Alireza Dehlaghi-Ghadim, Miguel Leon, Ali Balador, Sasikumar Punnekkat:
Time-series Anomaly Detection and Classification with Long Short-Term Memory Network on Industrial Manufacturing Systems. FedCSIS 2023: 171-181 - [c23]Miguel León Ortiz, Tijana Markovic, Sasikumar Punnekkat:
Multi-Objective Optimization on Autoencoder for Feature Encoding and Attack Detection on Network Data. GECCO Companion 2023: 379-382 - [c22]Alireza Dehlaghi-Ghadim, Tijana Markovic, Miguel Leon, David Söderman, Per Erik Strandberg:
Federated Learning for Network Anomaly Detection in a Distributed Industrial Environment. ICMLA 2023: 218-225 - [c21]Björn Leander, Tijana Markovic, Miguel Leon:
Enhanced Simulation Environment to Support Research in Modular Manufacturing Systems. IECON 2023: 1-6 - 2022
- [c20]Miguel León Ortiz, Tijana Markovic, Sasikumar Punnekkat:
Feature encoding with autoencoder and differential evolution for network intrusion detection using machine learning. GECCO Companion 2022: 2152-2159 - [c19]Tijana Markovic, Miguel Leon, David Buffoni, Sasikumar Punnekkat:
Random Forest Based on Federated Learning for Intrusion Detection. AIAI (1) 2022: 132-144 - [c18]Miguel Leon, Tijana Markovic, Sasikumar Punnekkat:
Comparative Evaluation of Machine Learning Algorithms for Network Intrusion Detection and Attack Classification. IJCNN 2022: 1-8 - [c17]Aleksandar Bajceta, Miguel Leon, Wasif Afzal, Pernilla Lindberg, Markus Bohlin:
Using NLP Tools to Detect Ambiguities in System Requirements - A Comparison Study. REFSQ Workshops 2022 - 2020
- [c16]Miguel Leon, Christoffer Parkkila, Jonatan Tidare, Ning Xiong, Elaine Åstrand:
Impact of NSGA-II objectives on EEG feature selection related to motor imagery. GECCO 2020: 1134-1142 - 2019
- [c15]Miguel Leon, Joaquín Ballesteros, Jonatan Tidare, Ning Xiong, Elaine Åstrand:
Feature Selection of EEG Oscillatory Activity Related to Motor Imagery Using a Hierarchical Genetic Algorithm. CEC 2019: 87-94 - [c14]Martin Suero, Carsten Paul Gassen, Dimitrije Mitic, Ning Xiong, Miguel León Ortiz:
A Deep Neural Network Model for Music Genre Recognition. ICNC-FSKD 2019: 377-384 - [c13]Jonatan Tidare, Miguel Leon, Ning Xiong, Elaine Åstrand:
Discriminating EEG spectral power related to mental imagery of closing and opening of hand. NER 2019: 307-310 - [c12]Carl Ahlberg, Miguel León Ortiz, Fredrik Ekstrand, Mikael Ekström:
Unbounded Sparse Census Transform Using Genetic Algorithm. WACV 2019: 1616-1625 - 2018
- [c11]Miguel Leon, Ning Xiong:
Enhancing Adaptive Differential Evolution Algorithms with Rank-Based Mutation Adaptation. CEC 2018: 1-7 - [c10]Javier Ramos, Miguel León Ortiz, Ning Xiong:
MPADE: An Improved Adaptive Multi-Population Differential Evolution Algorithm Based on JADE. CEC 2018: 1-8 - 2017
- [c9]Miguel León Ortiz, Ning Xiong:
Alopex-based mutation strategy in Differential Evolution. CEC 2017: 1978-1984 - 2016
- [c8]Miguel León Ortiz, Yigen Zenlander, Ning Xiong, Francisco Herrera:
Designing optimal harmonic filters in power systems using greedy adaptive Differential Evolution. ETFA 2016: 1-7 - [c7]Ning Xiong, Miguel León Ortiz:
Differential Evolution based on Decomposition for Solving Multi-objective Optimization Problems. ICAART (2) 2016: 512-516 - [c6]Miguel León Ortiz, Ning Xiong:
A New Differential Evolution Algorithm with Alopex-Based Local Search. ICAISC (1) 2016: 420-431 - 2015
- [c5]Miguel León Ortiz, Ning Xiong:
Greedy adaptation of control parameters in differential evolution for global optimization problems. CEC 2015: 385-392 - [c4]Miguel León Ortiz, Ning Xiong:
Eager Random Search for Differential Evolution in Continuous Optimization. EPIA 2015: 286-291 - [c3]Miguel León Ortiz, Magnus Evestedt, Ning Xiong:
Adaptive Differential Evolution Supports Automatic Model Calibration in Furnace Optimized Control System. IJCCI (Selected Papers) 2015: 42-55 - [c2]Miguel León Ortiz, Magnus Evestedt, Ning Xiong:
Application of Adaptive Differential Evolution for Model Identification in Furnace Optimized Control System. IJCCI (ECTA) 2015: 48-54 - 2014
- [c1]Miguel León Ortiz, Ning Xiong:
Investigation of Mutation Strategies in Differential Evolution for Solving Global Optimization Problems. ICAISC (1) 2014: 372-383
Data and Artifacts
- 2022
- [d1]Tijana Markovic, Miguel Leon, Björn Leander, Sasikumar Punnekkat:
MIDAS: A Modular Ice Cream Factory Dataset on Anomalies in Sensors. IEEE DataPort, 2022
Coauthor Index
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