| Trippy: A triple copy strategy for value independent neural dialog state tracking M Heck, C van Niekerk, N Lubis, C Geishauser, HC Lin, M Moresi, ... arXiv preprint arXiv:2005.02877, 2020 | 201 | 2020 |
| Lessons learned on computer science teachers professional development MC Martinez, MJ Gomez, M Moresi, L Benotti Proceedings of the 2016 ACM conference on innovation and technology in …, 2016 | 36 | 2016 |
| LAVA: Latent action spaces via variational auto-encoding for dialogue policy optimization N Lubis, C Geishauser, M Heck, H Lin, M Moresi, C van Niekerk, M Gašić arXiv preprint arXiv:2011.09378, 2020 | 34 | 2020 |
| Text-based programming in elementary school: a comparative study of programming abilities in children with and without block-based experience MJ Gomez, M Moresi, L Benotti Proceedings of the 2019 ACM Conference on Innovation and Technology in …, 2019 | 24 | 2019 |
| Knowing what you know: Calibrating dialogue belief state distributions via ensembles C van Niekerk, M Heck, C Geishauser, HC Lin, N Lubis, M Moresi, ... arXiv preprint arXiv:2010.02586, 2020 | 7 | 2020 |
| Out-of-task training for dialog state tracking models M Heck, C van Niekerk, N Lubis, C Geishauser, HC Lin, M Moresi, ... arXiv preprint arXiv:2011.09379, 2020 | 4 | 2020 |
| Predicting students’ difficulties from a piece of code M Moresi, MJ Gomez, L Benotti IEEE Transactions on Learning Technologies 14 (3), 386-399, 2021 | 3 | 2021 |
| Modelado automático de trayectorias de aprendizaje:¿ Cuándo generar ayuda personalizada para principiantes en programación? M Moresi | | 2019 |
| Predicting Difficulties from a Piece of Code M Moresi, MJ Gomez, L Benotti | | |
Marcos J.GómezUniversidad Nacional de CordobaVerified email at unc.edu.ar
