The courses of which the CVML Lab members are in charge
The course aims at introducing the student to the principles, the algorithms and the main applications of Artificial Intelligence, with a focus on inference, machine learning and pattern recognition.
The course aims at introducing the student to the principles, the algorithms and the main applications in the field of image and video understanding.
The course is part of the Computer Science curriculum and focuses on natural language analysis techniques with approaches based on deep neural architectures and more traditional models. The course develops gradually, starting from the foundations of automatic text analysis and covering state-of-the-art generative models.
This course provides an introduction to the principles, techniques and applications of machine learning and artificial intelligence in the field of Environmental Science. The goal is to develop in students the critical skills needed to wisely choose and implement a data analysis solution based on machine learning techniques.
This course is one of the activities of the master's degree program in Conservation Science and Technology for Cultural Heritage that enable the student to gain knowledge and understanding of foundational and advanced concepts in mathematical-statistical and computer science. The course aims to provide an overview of basic and advanced computational methodologies and tools for digitization, management and analysis of cultural heritage data.