Publications
, “Deep Deductive Reasoning is a Hard Deep Learning Problem”, Neurosymbolic Artificial Intelligence, In Press. 2024_NAI_DDR.pdf (414.08 KB)
 2024_NAI_DDR.pdf (414.08 KB)
 2024_NAI_DDR.pdf (414.08 KB)
 2024_NAI_DDR.pdf (414.08 KB), “Error-margin Analysis for Hidden Neuron Activation Labels”, 18th International Conference on Neural-Symbolic Learning and Reasoning, NeSy 2024. Springer , 2024. 2024_NeSy_CI_shortPaper.pdf (245.56 KB)
 2024_NeSy_CI_shortPaper.pdf (245.56 KB)
 2024_NeSy_CI_shortPaper.pdf (245.56 KB)
 2024_NeSy_CI_shortPaper.pdf (245.56 KB), “On the Value of Labeled Data and Symbolic Methods for Hidden Neuron Activation Analysis”, in 18th International Conference on Neural-Symbolic Learning and Reasoning, NeSy 2024, 2024. 2024_NeSy_CI.pdf (358.13 KB)
 2024_NeSy_CI.pdf (358.13 KB)
 2024_NeSy_CI.pdf (358.13 KB)
 2024_NeSy_CI.pdf (358.13 KB), “Deep Deductive Reasoning is a Hard Deep Learning Problem”, 2023. 2023_NAI_DDR.pdf (414.08 KB)
 2023_NAI_DDR.pdf (414.08 KB)
 2023_NAI_DDR.pdf (414.08 KB)
 2023_NAI_DDR.pdf (414.08 KB), “MMODS-O: A Modular Ontology for the Metadata Object Description Schema (MODS) – Documentation”, 2023. MODS_Ontology_Documentation.pdf (2.03 MB)
 MODS_Ontology_Documentation.pdf (2.03 MB)
 MODS_Ontology_Documentation.pdf (2.03 MB)
 MODS_Ontology_Documentation.pdf (2.03 MB), “A Modular Ontology for MODS – Metadata Object Description Schema”, 2023. MODS_Ontology.pdf (9 bytes)
 MODS_Ontology.pdf (9 bytes)
 MODS_Ontology.pdf (9 bytes)
 MODS_Ontology.pdf (9 bytes), “An Ontology Design Pattern for Role-Dependent Names”, 2023. Role_Dependent_Names_ODP.pdf (196.94 KB)
 Role_Dependent_Names_ODP.pdf (196.94 KB)
 Role_Dependent_Names_ODP.pdf (196.94 KB)
 Role_Dependent_Names_ODP.pdf (196.94 KB)
