Marco L. Della Vedova
Marco L. Della Vedova is Senior Lecturer in the Applied Artificial Intelligence research group. He is interested in the application of artificial intelligence (AI) in many fields, having as ultimate goal the benefit of the society. Marco is developing interpretable methods for conversational AI, for evaluating the naturalness of forests, and for intelligent shipping.
Showing 4 publications
A Challenging Data Set for Evaluating Part-of-speech Taggers
An interpretable method for automated classification of spoken transcripts and written text
Joint structure learning and causal effect estimation for categorical graphical models
Power sum polynomials and the ghosts behind them
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Showing 2 research projects
An interpretable, self-explaining method for traffic safety applications
Intepretable AI from start to finish