| CodeOntology: RDF-ization of source code M Atzeni, M Atzori The Semantic Web–ISWC 2017: 16th International Semantic Web Conference …, 2017 | 68 | 2017 |
| FineNews: fine-grained semantic sentiment analysis on financial microblogs and news A Dridi, M Atzeni, D Reforgiato Recupero International Journal of Machine Learning and Cybernetics 10, 2199-2207, 2019 | 62 | 2019 |
| Text-based rl agents with commonsense knowledge: New challenges, environments and baselines K Murugesan, M Atzeni, P Kapanipathi, P Shukla, S Kumaravel, ... Proceedings of the AAAI Conference on Artificial Intelligence 35 (10), 9018-9027, 2021 | 59 | 2021 |
| Multi-domain sentiment analysis with mimicked and polarized word embeddings for human–robot interaction M Atzeni, DR Recupero Future Generation Computer Systems 110, 984-999, 2020 | 54 | 2020 |
| Using frame-based resources for sentiment analysis within the financial domain M Atzeni, A Dridi, D Reforgiato Recupero Progress in Artificial Intelligence 7, 273-294, 2018 | 36 | 2018 |
| Fine-grained sentiment analysis on financial microblogs and news headlines M Atzeni, A Dridi, D Reforgiato Recupero Semantic Web Challenges: 4th SemWebEval Challenge at ESWC 2017, Portoroz …, 2017 | 33 | 2017 |
| Enhancing text-based reinforcement learning agents with commonsense knowledge K Murugesan, M Atzeni, P Shukla, M Sachan, P Kapanipathi, ... arXiv preprint arXiv:2005.00811, 2020 | 31 | 2020 |
| Deep learning and sentiment analysis for human-robot interaction M Atzeni, D Reforgiato Recupero The Semantic Web: ESWC 2018 Satellite Events: ESWC 2018 Satellite Events …, 2018 | 30 | 2018 |
| Translating natural language to code: An unsupervised ontology-based approach M Atzeni, M Atzori 2018 IEEE first international conference on artificial intelligence and …, 2018 | 19 | 2018 |
| Efficient text-based reinforcement learning by jointly leveraging state and commonsense graph representations K Murugesan, M Atzeni, P Kapanipathi, K Talamadupula, M Sachan, ... Proceedings of the 59th Annual Meeting of the Association for Computational …, 2021 | 16 | 2021 |
| Siamese graph neural networks for data integration E Krivosheev, M Atzeni, K Mirylenka, P Scotton, F Casati arXiv preprint arXiv:2001.06543, 2020 | 16 | 2020 |
| Sqaler: Scaling question answering by decoupling multi-hop and logical reasoning M Atzeni, J Bogojeska, A Loukas Advances in Neural Information Processing Systems 34, 12587-12599, 2021 | 15 | 2021 |
| A hybrid neuro-symbolic approach for text-based games using inductive logic programming K Basu, K Murugesan, M Atzeni, P Kapanipathi, K Talamadupula, ... Combining learning and reasoning: programming languages, formalisms, and …, 2021 | 13 | 2021 |
| CodeOntology: Querying Source Code in a Semantic Framework. M Atzeni, M Atzori ISWC (Posters, Demos & Industry Tracks), 2017 | 13 | 2017 |
| Towards semantic approaches for general-purpose end-user development M Atzeni, M Atzori 2018 Second IEEE International Conference on Robotic Computing (IRC), 369-376, 2018 | 12 | 2018 |
| What Is the Cube Root of 27? Question Answering Over CodeOntology M Atzeni, M Atzori The Semantic Web–ISWC 2018: 17th International Semantic Web Conference …, 2018 | 12 | 2018 |
| Case-based reasoning for better generalization in textual reinforcement learning M Atzeni, S Dhuliawala, K Murugesan, M Sachan arXiv preprint arXiv:2110.08470, 2021 | 9 | 2021 |
| Reforgiato: using frame-based resources for sentiment analysis within the financial domain. Prog M Atzeni, A Dridi, D Recupero Art. Intell 7 (4), 273-294, 2018 | 8 | 2018 |
| Bearish-Bullish Sentiment Analysis on Financial Microblogs. A Dridi, M Atzeni, DR Recupero Emsasw@ eswc, 2017 | 8 | 2017 |
| Business entity matching with siamese graph convolutional networks E Krivosheev, M Atzeni, K Mirylenka, P Scotton, C Miksovic, A Zorin Proceedings of the AAAI Conference on Artificial Intelligence 35 (18), 16054 …, 2021 | 7 | 2021 |
Diego Reforgiato RecuperoUniversity of Cagliari在 unica.it 的电子邮件经过验证
