Miguel Leon Ortiz, Senior Lecturer
Time-series Anomaly Detection and Classification with Long Short-Term Memory Network on Industrial Manufacturing Systems (Jan 2023) Tijana Markovic, Alireza Dehlaghi Ghadim, Miguel Leon Ortiz, Ali Balador, Sasikumar Punnekkat
Comparative Evaluation of Machine Learning Algorithms for Network Intrusion Detection and Attack Classification (Jul 2022) Miguel Leon Ortiz, Tijana Markovic, Sasikumar Punnekkat International Conference on Neural Network (IJCNN)
Feature encoding with autoencoder and differential evolution for network intrusion detection using machine learning (Jul 2022) Miguel Leon Ortiz, Tijana Markovic, Sasikumar Punnekkat Genetic and Evolutionary Computation Conference (GECCO 2022)
Random Forest Based on Federated Learning for Intrusion Detection (Jun 2022) Tijana Markovic, Miguel Leon Ortiz, David Buffoni , Sasikumar Punnekkat International Converence on Artificial Intelligence Applications and innovations (AIAI 2022)
Using NLP tools to detect ambiguities in system requirements - A comparison study (Mar 2022) Aleksandar Bajceta, Miguel Leon Ortiz, Wasif Afzal, Pernilla Lindberg , Markus Bohlin 5th Workshop on Natural Language Processing for Requirements Engineering @ REFSQ (NLP4RE)
Time-resolved estimation of strength of Motor Imagery representation by multivariate EEG decoding (Dec 2020) Jonatan Tidare, Miguel Leon Ortiz, Elaine Åstrand Journal of Neural Engineering (J. Neural Eng.)