Marco L. Della Vedova
Marco is a Senior Lecturer in Applied Artificial Intelligence. His work focuses on practical AI with real impact, aiming to deliver clear benefits to society. He develops interpretable methods for conversational systems, tools for assessing forest naturalness, and AI techniques for geo-spatial applications. He is also the Director of the Master's Programme in Data Science and AI.
Showing 7 publications
Part-of-Speech Taggers Make Errors on Unambiguous Sentences
Naturalness indicators of forests in Southern Sweden derived from the canopy height model
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 5 research projects
AI methods for vision-based terrestrial localization
Spatial Intelligence and Performance in Orienteering
An interpretable, self-explaining method for traffic safety applications
Intepretable AI from start to finish