Percorrendo por Assunto Deep learning
Mostrando regs. 1 a 14 de 14
Data de publicação | Título | Autor(es) |
2017 | A Deep Learning Approach for Norm Conflict Identification | João Paulo Aires; Felipe Rech Meneguzzi |
2020 | Augmented Behavioral Cloning from Observation | Juarez Monteiro; Nathan Gavenski; Roger Granada, et al |
2019 | Classification of Contractual Conflicts via Learning of Semantic Representations | João Paulo Aires; Roger Leitzke Granada; Juarez Monteiro, et al |
2019 | Classification of Contractual Conflicts via Learning of Semantic Representations | João Paulo Aires; Roger Leitzke Granada; Juarez Monteiro, et al |
2021 | Combining LSTMs and Symbolic Approaches for Robust Plan Recognition | Leonardo Rosa Amado; Pereira, Ramon Fraga; Felipe Rech Meneguzzi |
2019 | ConCon: A Contract Conflict Identifier | Aires, João Paulo; Roger Leitzke Granada; Felipe Rech Meneguzzi |
2019 | ConCon: A Contract Conflict Identifier | Aires, João Paulo; Roger Leitzke Granada; Felipe Rech Meneguzzi |
2019 | Goal Recognition over Nominal Models | Ramon Fraga Pereira; Mor Vered; Felipe Rech Meneguzzi, et al |
2019 | Goal Recognition over Nominal Models | Ramon Fraga Pereira; Mor Vered; Felipe Rech Meneguzzi, et al |
2019 | LatRec: Recognizing Goals in Latent Space | Leonardo Rosa Amado; Aires, João Paulo; FRAGA PEREIRA, RAMON, et al |
2019 | LatRec: Recognizing Goals in Latent Space | Leonardo Rosa Amado; Aires, João Paulo; FRAGA PEREIRA, RAMON, et al |
2019 | Online Probabilistic Goal Recognition over Nominal Models | Ramon Fraga Pereira; Mor Vered; Felipe Rech Meneguzzi, et al |
2019 | Online Probabilistic Goal Recognition over Nominal Models | Ramon Fraga Pereira; Mor Vered; Felipe Rech Meneguzzi, et al |
2020 | Using Self-Attention LSTMs to Enhance Observations in Goal Recognition | Leonardo Rosa Amado; Gabriel Paludo Licks; Matheus Marcon, et al |