Miguel Leon - RankMe

17 papers A 2B 4C 4Journal 3Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	A	`conf`	Feature Selection Using Genetic Algorithm for Intrusion Detection on Resource-Constrained Edge Devices. GECCO Tijana Markovic, Pontus Lidholm, Per Erik Strandberg, Miguel Leon
2024	C	`conf`	Comparative Evaluation of Autoencoders for Semi-Supervised Anomaly Detection on Univariate Time Series Data. ICMLA Tijana Markovic, Sara Moricz, Miguel Leon
2024	B	`conf`	Network Intrusion Detection using Machine Learning on Resource-Constrained Edge Devices. IJCNN Pontus Lidholm, Tijana Markovic, Miguel Leon, Per Erik Strandberg
2023	J	`jnl`	A Modular Ice Cream Factory Dataset on Anomalies in Sensors to Support Machine Learning Research in Manufacturing Systems. IEEE Access Tijana Markovic, Miguel Leon, Björn Leander, Sasikumar Punnekkat
2023	C	`conf`	Enhanced Simulation Environment to Support Research in Modular Manufacturing Systems. IECON Björn Leander, Tijana Markovic, Miguel Leon
2023	C	`conf`	Federated Learning for Network Anomaly Detection in a Distributed Industrial Environment. ICMLA Alireza Dehlaghi-Ghadim, Tijana Markovic, Miguel Leon, David Söderman, Per Erik Strandberg
2023	C	`conf`	Time-series Anomaly Detection and Classification with Long Short-Term Memory Network on Industrial Manufacturing Systems. FedCSIS Tijana Markovic, Alireza Dehlaghi-Ghadim, Miguel Leon, Ali Balador, Sasikumar Punnekkat
2022	B	`conf`	Comparative Evaluation of Machine Learning Algorithms for Network Intrusion Detection and Attack Classification. IJCNN Miguel Leon, Tijana Markovic, Sasikumar Punnekkat
2022	—	`conf`	Random Forest Based on Federated Learning for Intrusion Detection. AIAI (1) Tijana Markovic, Miguel Leon, David Buffoni, Sasikumar Punnekkat
2022	—	`conf`	Using NLP Tools to Detect Ambiguities in System Requirements - A Comparison Study. REFSQ Workshops Aleksandar Bajceta, Miguel Leon, Wasif Afzal, Pernilla Lindberg, Markus Bohlin
2021	J	`jnl`	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. Carl Ahlberg, Miguel Leon, Fredrik Ekstrand, Mikael Ekström
2020	J	`jnl`	Adaptive differential evolution with a new joint parameter adaptation method. Soft Comput. Miguel Leon, Ning Xiong
2020	A	`conf`	Impact of NSGA-II objectives on EEG feature selection related to motor imagery. GECCO Miguel Leon, Christoffer Parkkila, Jonatan Tidare, Ning Xiong, Elaine Åstrand
2019	—	`conf`	Discriminating EEG spectral power related to mental imagery of closing and opening of hand. NER Jonatan Tidare, Miguel Leon, Ning Xiong, Elaine Åstrand
2019	B	`conf`	Feature Selection of EEG Oscillatory Activity Related to Motor Imagery Using a Hierarchical Genetic Algorithm. CEC Miguel Leon, Joaquín Ballesteros, Jonatan Tidare, Ning Xiong, Elaine Åstrand
2019	—	`—`	Improving differential Evolution with adaptive and Local Search Methods. Miguel Leon
2018	B	`conf`	Enhancing Adaptive Differential Evolution Algorithms with Rank-Based Mutation Adaptation. CEC Miguel Leon, Ning Xiong