abertagnon

University of FerraraFerrara, Italy

Pinned Repositories

aspect
An intuitive and declarative way to graphically represent answer sets in LaTeX
Language:Java00
ml-etsp
Datasets related to the paper: "Improving the efficiency of Euclidean TSP solving in Constraint Programming by predicting effective nocrossing constraints" (Elena Bellodi, Alessandro Bertagnon, Marco Gavanelli, Riccardo Zese). AIxIA 2020, Advances in Artificial Intelligence, Lecture Notes in Artificial Intelligence (LNAI, volume 12414).
Language:Prolog00
rcra-2020
Datasets related to the paper: "Improving the efficiency of Euclidean TSP solving in Constraint Programming by predicting effective nocrossing constraints" (Elena Bellodi, Alessandro Bertagnon, Marco Gavanelli, Riccardo Zese)
Language:Prolog00
taxinomitis
Source code for Machine Learning for Kids site
Language:TypeScript00
taxinomitis
Source code for Machine Learning for Kids site
Language:JavaScript144 24 220138

abertagnon/aspect
An intuitive and declarative way to graphically represent answer sets in LaTeX
Language:Java00
abertagnon/ml-etsp
Datasets related to the paper: "Improving the efficiency of Euclidean TSP solving in Constraint Programming by predicting effective nocrossing constraints" (Elena Bellodi, Alessandro Bertagnon, Marco Gavanelli, Riccardo Zese). AIxIA 2020, Advances in Artificial Intelligence, Lecture Notes in Artificial Intelligence (LNAI, volume 12414).
Language:Prolog00
abertagnon/rcra-2020
Datasets related to the paper: "Improving the efficiency of Euclidean TSP solving in Constraint Programming by predicting effective nocrossing constraints" (Elena Bellodi, Alessandro Bertagnon, Marco Gavanelli, Riccardo Zese)
Language:Prolog00
abertagnon/taxinomitis
Source code for Machine Learning for Kids site
Language:TypeScript00