Marco Botta received his degree in Computer Science from the University of Torino
in 1987, and the Ph.D. in Computer Science from the University of Torino in 1993.
Since 1992, he is Research Associate in Computer Science at the Dipartimento di
Informatica, Università di Torino.
Research Interests: Machine Learning
First Order Concept Learning using Inductive+Deductive Techniques
Knowledge Bases Construction and Refinement using Deep Models of the Domain
Integration of Symbolic-Subsymbolic Learning Techniques
Applications of Machine Learning Algorithms to Real World Problems (e.g., Robotics)