| Integrating machine learning data with symbolic knowledge from collaboration practices of curators to improve conversational systems CS Pinhanez, H Candello, P Cavalin, MC Pichiliani, AP Appel, ... Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems …, 2021 | 10 | 2021 |
| Optimize cash collection: Use machine learning to predicting invoice payment AP Appel, V Oliveira, B Lima, GL Malfatti, VF de Santana, R de Paula arXiv preprint arXiv:1912.10828, 2019 | 9 | 2019 |
| Using meta-knowledge mined from identifiers to improve intent recognition in conversational systems C Pinhanez, P Cavalin, VHA Ribeiro, A Appel, H Candello, J Nogima, ... Proceedings of the 59th Annual Meeting of the Association for Computational …, 2021 | 8 | 2021 |
| Predicting account receivables with machine learning AP Appel, GL Malfatti, RLF Cunha, B Lima, R de Paula arXiv preprint arXiv:2008.07363, 2020 | 6 | 2020 |
| Concept prediction to create new intents and assign examples automatically in dialog systems AP Appel, PR Cavalin, VHA Ribeiro, CS Pinhanez, GL Malfatti US Patent 11,562,028, 2023 | 2 | 2023 |
| Using Meta-Knowledge Mined from Identifiers to Improve Intent Recognition in Neuro-Symbolic Algorithms C Pinhanez, P Cavalin, V Ribeiro, H Candello, J Nogima, A Appel, ... arXiv preprint arXiv:2012.09005, 2020 | 1 | 2020 |
| Egocentric network entity robustness prediction AP Appel, RLDF Cunha, GL Malfatti, EAV Brazil, AR Heching US Patent App. 17/512,928, 2023 | | 2023 |
