Learning the parameters of deep probabilistic logic programs In Elena Bellodi and Tom Schrijvers, editors, Probabilistic Logic Programming (PLP 2018), volume 2219 of CEUR Workshop Proceedings

Automated Defect Detection and Classification in Cosmetic and Pharmaceutical Bottles Using Neural Networks RiCeRcA Workshop co-located with the 17th International Conference of the Italian Association for Artificial Intelligence (Ai*iA 2018) This work presents a system that utilizes neural networks for extracting and classifying defects in cosmetic and pharmaceutical bottles. The system achieves high accuracy in identifying defects in different classes, such as rubber, aluminum, glass, hair, and tissue. [.pdf]

Deep learning for probabilistic logic programming In Marco Rospocher, Luciano Serafini, and Sara Tonelli, editors, AI*IA 2018 Doctoral Consortium, Proceedings of the AI*IA Doctoral Consortium (DC), volume 2249 of CEUR Workshop Proceedings

Learning Hierarchical Probabilistic Logic Programs 1st International Joint Conference on Learning & Reasoning - IJCLR 2021 [.pdf]

Lifted discriminative learning of probabilistic logic programs In Nicolas Lachiche and Christel Vrain, editors, 27th International Conference on Inductive Logic Programming, ILP 2017, 2017

Deep probabilistic logic programming In Christian Theil Have and Riccardo Zese, editors, Proceedings of the 4th International Workshop on Probabilistic logic programming, (PLP 2017), volume 1916 of CEUR Workshop Proceedings, pages 3--14, Aachen, Germany, 2017. Sun SITE Central Europe

IA opportunities for precision agriculture

Career opportunity in Artificial Intelligence

Impact of artificial intelligence on the young graduate [.pdf]