| A neural word embeddings approach for multi-domain sentiment analysis M Dragoni, G Petrucci IEEE Transactions on Affective Computing 8 (4), 457-470, 2017 | 124 | 2017 |
| An eye into the future: leveraging a-priori knowledge in predictive business process monitoring C Di Francescomarino, C Ghidini, FM Maggi, G Petrucci, A Yeshchenko Business Process Management: 15th International Conference, BPM 2017 …, 2017 | 119 | 2017 |
| A fuzzy-based strategy for multi-domain sentiment analysis M Dragoni, G Petrucci International Journal of Approximate Reasoning 93, 59-73, 2018 | 65 | 2018 |
| Ontology learning in the deep G Petrucci, C Ghidini, M Rospocher European knowledge acquisition workshop, 480-495, 2016 | 59 | 2016 |
| From 2D to 3D supervised segmentation and classification for cultural heritage applications E Grilli, D Dininno, G Petrucci, F Remondino The International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2018 | 49 | 2018 |
| Expressive ontology learning as neural machine translation G Petrucci, M Rospocher, C Ghidini Journal of Web Semantics 52, 66-82, 2018 | 46 | 2018 |
| Equation for the thermal conductivity of liquids and an artificial neural network G Di Nicola, M Pierantozzi, G Petrucci, R Stryjek Journal of Thermophysics and Heat Transfer 30 (3), 651-660, 2016 | 39 | 2016 |
| Modeling thermal conductivity in refrigerants through neural networks M Pierantozzi, G Petrucci Fluid Phase Equilibria 460, 36-44, 2018 | 30 | 2018 |
| An information retrieval-based system for multi-domain sentiment analysis G Petrucci, M Dragoni Semantic web evaluation challenges, 234-243, 2015 | 30 | 2015 |
| The IRMUDOSA system at ESWC-2016 challenge on semantic sentiment analysis G Petrucci, M Dragoni Semantic Web Evaluation Challenge, 126-140, 2016 | 22 | 2016 |
| Supervised segmentation of 3D cultural heritage E Grilli, D Dininno, L Marsicano, G Petrucci, F Remondino 2018 3rd Digital Heritage International Congress (DigitalHERITAGE) held …, 2018 | 14 | 2018 |
| The IRMUDOSA system at ESWC-2017 challenge on semantic sentiment analysis G Petrucci, M Dragoni Semantic Web Challenges: 4th SemWebEval Challenge at ESWC 2017, Portoroz …, 2017 | 11 | 2017 |
| Information extraction for learning expressive ontologies G Petrucci The Semantic Web. Latest Advances and New Domains: 12th European Semantic …, 2015 | 10 | 2015 |
| Using recurrent neural network for learning expressive ontologies G Petrucci, C Ghidini, M Rospocher arXiv preprint arXiv:1607.04110, 2016 | 5 | 2016 |
| Supporting Multilingual Ontology Matching With MoKi. M Dragoni, G Petrucci ISWC (Posters & Demos), 2015 | 4 | 2015 |
| Learning to learn concept descriptions G Petrucci Università degli studi di Trento, 2018 | 2 | 2018 |
Mauro DragoniHead of the Intelligent Digital Agents Research Group at Fondazione Bruno Kessler.在 fbk.eu 的电子邮件经过验证
