PhD MOOC 0 – Introduction
PhD MOOC 1 – Mathematical Foundations – Lecture
Learning material: 1 – Mathematical Foundations
PhD MOOC 2 – Software Tools and Implementation – Lecture
Learning material: 2 – SoftwareTools
PhD MOOC 3 Feature extraction and selection – Lecture
Learning material: 3 – Feature extraction and selection
PhD MOOC 4 Supervised learning for classification – Lecture
Learning material: 4 – Supervised learning
PhD MOOC 5 Unsupervised learning for classification – Lecture
Learning material: 5 – Unsupervised learning
PhD MOOC 6 Introduction to Artificial Neural Networks – Lecture
PhD MOOC 6 – Convolutional Neural Networks and Deep Learning algorithms – Lecture
Learning material: 6 – Introduction to Artificial Neural Networks_1
Learning material: 6 – ConvolutionalNeuralNetworks_2
PhD MOOC 7 Digital signal processing methods in biomedical pattern recognition – Lecture
Learning material: 7 – DigitalSignal_ProcessingMethods
PhD MOOC 8 Analysis of spatial acoustic models of sibilant sounds in sigmatism diagnosis
Learning material: 8 – Analysis_of_spatial_acoustic_models
PhD MOOC 9 Advanced techniques in pattern recognition – Lecture
Learning material: 9 – AdvancedTechniques