Displaying 295 resources
Mathematical Analysis
This lecture overviews Mathematical Analysis that has many applications in Computer Vision, Machine Learning and Autonomous Systems.
Fast Fourier Transform
This lecture overviews Fast Fourier Transform that has many applications in digital signal processing and analysis and in power spectrum estimation.
3D Medical Image Acquisition
This lecture overviews 3D Medical Image Acquisition that has many applications in medical imaging and diagnosis. It covers the following topics in detail: 3D Computed Tomography (including Cone Beam Tomography and Micro-Computed Tomography).
Autonomous Car Modeling and Control
This lecture overviews Autonomous Car Modeling and Control that has many applications in autonomous cars and automated driving.
A Survey on Proactive Dialogue Systems: Problems, Methods, and Prospects
Proactive dialogue systems, related to a wide range of real-world conversational applications, equip the conversational agent with the capability of leading the conversation direction towards achieving pre-defined targets or fulfilling certain goals
Introduction to 3D imaging
This lecture overviews Introduction to 3D imaging that has many applications in medical imaging, scientific imaging, microscopy and computer vision.
Mathematical brain modeling
This lecture overviews Mathematical Brain Modeling that has many applications in Artificial Neural Networks. It covers the following topics in detail: Brain Cells (Sensory and Motor neurons, Interneurons, glia).
What is AI?
The stakes of this lecture are as follows: Can an ordinary person having a high school education and genuine interest understand the basic principles of Artificial Intelligence in just an one-hour lecture?
Introduction to Containers with Docker
Lecture by Prof. Lorentzo Carnevale.
Uploaded by Aristotle University of Thessaloniki.
Link to video
e-Symposium 2023: Algorithmic auditing of political biases in recommender systems
External independent and unobtrusive algorithmic audits offer a fresh perspective for understanding AI-based algorithms used in social media and search engines.
Domain Adaptation and Generalization
There is an issue of domain shift in machine learning models, which occurs when models trained on one dataset perform poorly when tested on data from a different source.
Course on Continual Learning (given at ESSAI 2023)
5 lectures on continual learning, given at ESSAI 2023.