| Goal recognition in latent space L Amado, RF Pereira, J Aires, M Magnaguagno, R Granada, F Meneguzzi 2018 International Joint Conference on Neural Networks (IJCNN), 1-8, 2018 | 63 | 2018 |
| Norm conflict identification in contracts JP Aires, D Pinheiro, VS Lima, F Meneguzzi Artificial Intelligence and Law 25 (4), 397-428, 2017 | 31 | 2017 |
| Virtual guide dog: An application to support visually-impaired people through deep convolutional neural networks J Monteiro, JP Aires, R Granada, RC Barros, F Meneguzzi 2017 International Joint Conference on Neural Networks (IJCNN), 2267-2274, 2017 | 29 | 2017 |
| Lstm-based goal recognition in latent space L Amado, JP Aires, RF Pereira, MC Magnaguagno, R Granada, ... arXiv preprint arXiv:1808.05249, 2018 | 28 | 2018 |
| Norm conflict identification using deep learning JP Aires, F Meneguzzi Autonomous Agents and Multiagent Systems: AAMAS 2017 Workshops, Visionary …, 2017 | 19 | 2017 |
| End-to-end lexically constrained machine translation for morphologically rich languages J Jon, JP Aires, D Variš, O Bojar arXiv preprint arXiv:2106.12398, 2021 | 14 | 2021 |
| A deep learning approach to classify aspect-level sentiment using small datasets JP Aires, C Padilha, C Quevedo, F Meneguzzi 2018 International Joint Conference on Neural Networks (IJCNN), 1-8, 2018 | 13 | 2018 |
| Norm conflict identification using vector space offsets JP Aires, J Monteiro, R Granada, F Meneguzzi 2018 International Joint Conference on Neural Networks (IJCNN), 1-8, 2018 | 10 | 2018 |
| Norm dataset: Dataset with norms and norm conflicts JP Aires, D Pinheiro, F Meneguzzi Source: https://doi. org/10.5281/zenodo 345411, 2017 | 7 | 2017 |
| Norm conflict identification using a convolutional neural network JP Aires, F Meneguzzi Coordination, Organizations, Institutions, Norms, and Ethics for Governance …, 2021 | 6 | 2021 |
| Classification of contractual conflicts via learning of semantic representations JP Aires, RL Granada, J Monteiro, RC Barros, FR Meneguzzi Proceedings of the 18th International Conference on Autonomous Agents and …, 2019 | 6 | 2019 |
| Evaluating the feasibility of deep learning for action recognition in small datasets J Monteiro, R Granada, RC Barros 2018 International Joint Conference on Neural Networks (IJCNN), 1-8, 2018 | 6 | 2018 |
| ConCon: a contract conflict identifier JP Aires, RL Granada, FR Meneguzzi Proceedings of the 18th International Conference on Autonomous Agents and …, 2019 | 4 | 2019 |
| CUNI systems for WMT21: Terminology translation Shared Task J Jon, M Novák, JP Aires, D Variš, O Bojar arXiv preprint arXiv:2109.09350, 2021 | 3 | 2021 |
| A deep learning approach for norm conflict identification JP Aires, FR Meneguzzi Proceedings of the 16th International Conference on Autonomous Agents and …, 2017 | 3 | 2017 |
| LatRec+: Learning-based Goal Recognition in Latent Space L Amado, JP Aires, RF Pereira, MC Magnaguagno, R Granada, GP Licks, ... The AAAI 2020 Workshop on Plan, Activity, and Intent Recognition (PAIR@ AAAI …, 2020 | 2 | 2020 |
| Automating news summarization with sentence vectors offset M Steinert, R Granada, JP Aires, F Meneguzzi 2019 8th Brazilian Conference on Intelligent Systems (BRACIS), 102-107, 2019 | 2 | 2019 |
| Classifying norm conflicts using learned semantic representations JP Aires, R Granada, J Monteiro, RC Barros, F Meneguzzi arXiv preprint arXiv:1906.02121, 2019 | 2 | 2019 |
| Identifying potential conflicts between norms in contracts JPS Aires Pontifícia Universidade Católica do Rio Grande do Sul, 2016 | 2 | 2016 |
| Dimensional Speech Emotion Recognition from Bimodal Features L Guder, JP Aires, F Meneguzzi, D Griebler Simpósio Brasileiro de Computação Aplicada à Saúde (SBCAS), 579-590, 2024 | 1 | 2024 |
Felipe MeneguzziProfessor of Computing Science, University of AberdeenVerified email at cs.cmu.edu
