Displaying 273 resources



AI and Education Sciences
This lecture overviews the impact of AI on Education Sciences. First an overview of Machine Learning is presented, focusing on the use of data in learning.



Genomic Signal Analysis
This lecture overviews Genomic Signal Analysis that has many applications in Bioinformatics, Biology and Medicine. It covers the following topics in detail: DSP Algorithms for Genomic Sequences.



Transfer Learning
This lecture overviews Transfer Learning (TL) that has many applications in DNN training and adaptation, Image Understanding, Text Mining, Activity Recognition, Bioinformatics, Transportation.



Continual Learning
This lecture overviews Continual Learning that has many applications in DNN training and adaptation.



Moving Image Perception
This lecture overviews Moving Image Perception that has many applications in video acquisition, processing and coding. It covers the following topics in detail: Human Vision Modeling.



Few Shot Object Recognition
This lecture overviews Few Shot Object Recognition that has many applications in image classification, when few training data are available. It covers the following topics in detail: Few-shot Image Learning definitions and methods.