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Author search results
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- Miguel León Ortiz
aka: Miguel Leon 0001
Malardalen University, School of Innovation, Design and Engineering Vasteras, Sweden
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Publication search results
found 47 matches
- 2024
- 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) - Leonie Steinherr, Miguel Belo, Rodja Trappe, Dafne Acosta-Ortiz, Amanda Birkmann, Tsvetelina Krachunova, Ralf Bloch:
Organic sugar beet (Beta vulgaris L.) cultivation using the field robot Uckerbot as a system for sustainable farming. GIL 2024: 419-424 - 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
- 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) - 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 - 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 - Miguel Ortiz Barrios, Andrea Espeleta-Aris, Genett Jiménez-Delgado, Helder Jose Celani-De Souza, Jonas Santana-de Oliveira, Alexandros Konios, Leonardo Campis-Freyle, Eduardo Navarro-Jimenez:
A Hybrid Multi-criteria Framework for Evaluating the Performance of Clinical Labs During the Covid-19 Pandemic. HCI (19) 2023: 104-122 - 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 - Björn Leander, Tijana Markovic, Miguel Leon:
Enhanced Simulation Environment to Support Research in Modular Manufacturing Systems. IECON 2023: 1-6 - 2022
- Jose Miguel Leon-Blanco, Pedro L. Gonzalez-R, José Luis Andrade-Pineda, David Canca, Marcos Calle:
A multi-agent approach to the truck multi-drone routing problem. Expert Syst. Appl. 195: 116604 (2022) - 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 - Tijana Markovic, Miguel Leon, David Buffoni, Sasikumar Punnekkat:
Random Forest Based on Federated Learning for Intrusion Detection. AIAI (1) 2022: 132-144 - Miguel Leon, Tijana Markovic, Sasikumar Punnekkat:
Comparative Evaluation of Machine Learning Algorithms for Network Intrusion Detection and Attack Classification. IJCNN 2022: 1-8 - 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 - Tijana Markovic, Miguel Leon, Björn Leander, Sasikumar Punnekkat:
MIDAS: A Modular Ice Cream Factory Dataset on Anomalies in Sensors. IEEE DataPort, 2022 - 2021
- Salvador Ruiz-Correa, Rubén López-Revilla, Fernando Díaz-Barriga, Francisco J. Marmolejo Cossío, Viridiana del Carmen Robledo-Valero, Emilio Ernesto Hernandez-Huerfano, Leonardo Alvarez-Rivera, Mónica Liliana Rangel-Martínez, Miguel Ángel Lutzow-Steiner, Luis Alfredo Ortiz-Vázquez, Andrea Rebeca Mendoza-Lara, Montserrat Olivo-Rodríguez, Marco Sebastián Galván-Ramírez, Ángel Emanuel Morales-Neri, Víctor Uriel Martínez-Donjuan, Massiel Isabella Cervantes-Irurzo, Andreu Comas-García, Fernando Hernández-Maldonado, Carlos Aguilar-Acosta:
Health Sentinel: A mobile crowdsourcing platform for self-reported surveys provides early detection of COVID-19 clusters in San Luis Potosí, Mexico. Int. J. Medical Informatics 153: 104508 (2021) - 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) - Javier León, Juan José Escobar, Jesús González, Julio Ortega, Francisco Manuel Arrabal-Campos, Andrés Ortiz, Miguel Damas:
Recurrent Neural Networks and Efficiency in High-Dimensional EEG Classification. BIOMESIP 2021: 297-310 - 2020
- Francesco Potorti, Sangjoon Park, Antonino Crivello, Filippo Palumbo, Michele Girolami, Paolo Barsocchi, Soyeon Lee, Joaquín Torres-Sospedra, Antonio Ramón Jiménez Ruiz, Antoni Pérez-Navarro, Germán Martín Mendoza-Silva, Fernando Seco, Miguel Ortiz, Johan Perul, Valérie Renaudin, Hyunwoong Kang, Soyoung Park, Jae Hong Lee, Chan Gook Park, Jisu Ha, Jaeseung Han, Changjun Park, Keunhye Kim, Yonghyun Lee, Seunghun Gye, Keumryeol Lee, Eun-Jee Kim, Jeongsik Choi, Yang-Seok Choi, Shilpa Talwar, Seong Yun Cho, Boaz Ben-Moshe, Alex Scherbakov, Leonid Antsfeld, Emilio Sansano-Sansano, Boris Chidlovskii, Nikolai Kronenwett, Silvia Prophet, Yael Landay, Revital Marbel, Lingxiang Zheng, Ao Peng, Zhichao Lin, Bang Wu, Chengqi Ma, Stefan Poslad, David R. Selviah, Wei Wu, Zixiang Ma, Wenchao Zhang, Dongyan Wei, Hong Yuan, Jun-Bang Jiang, Shao-Yung Huang, Jing-Wen Liu, Kuan-Wu Su, Jenq-Shiou Leu, Kazuki Nishiguchi, Walid Bousselham, Hideaki Uchiyama, Diego Thomas, Atsushi Shimada, Rin-Ichiro Taniguchi, Vicente Cortés Puschel, Tomás Lungenstrass Poulsen, Imran Ashraf, Chanseok Lee, Muhammad Usman Ali, Yeongjun Im, Gunzung Kim, Jeongsook Eom, Soojung Hur, Yongwan Park, Miroslav Opiela, Adriano J. C. Moreira, Maria João Nicolau, Cristiano G. Pendão, Ivo Silva, Filipe Meneses, António Costa, Jens Trogh, David Plets, Ying-Ren Chien, Tzu-Yu Chang, Shih-Hau Fang, Yu Tsao:
The IPIN 2019 Indoor Localisation Competition - Description and Results. IEEE Access 8: 206674-206718 (2020) - Miguel Leon, Ning Xiong:
Adaptive differential evolution with a new joint parameter adaptation method. Soft Comput. 24(17): 12801-12819 (2020) - 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 - Javier León, Andrés Ortiz, Miguel Damas, Jesús González, Julio Ortega:
Cost-Efficiency of Convolutional Neural Networks for High-Dimensional EEG Classification. HAIS 2020: 774-785 - 2019
- Miguel Leon:
Improving differential Evolution with adaptive and Local Search Methods. Mälardalen University College, Västerås, Eskilstuna, Sweden, 2019 - 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) - 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 - 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 - Andres-Leonardo Martínez-Ortiz, David Lizcano, Miguel Ortega:
Software metrics artifacts making web quality measurable: AST 2019 invited paper. AST@ICSE 2019: 1-6 - 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 - Carl Ahlberg, Miguel León Ortiz, Fredrik Ekstrand, Mikael Ekström:
Unbounded Sparse Census Transform Using Genetic Algorithm. WACV 2019: 1616-1625 - 2018
- Miguel Leon, Ning Xiong:
Enhancing Adaptive Differential Evolution Algorithms with Rank-Based Mutation Adaptation. CEC 2018: 1-7
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