Percorrendo por Assunto Deep learning

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