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NeuroPigPen: A Scalable Toolkit for Processing Electrophysiological Signal Data in Neuroscience Applications Using Apache Pig.

, , , , , , , and . Frontiers Neuroinformatics, (2016)

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Classification of Provenance Triples for Scientific Reproducibility: A Comparative Evaluation of Deep Learning Models in the ProvCaRe Project., , , , and . IPAW, volume 11017 of Lecture Notes in Computer Science, page 30-41. Springer, (2018)An Ontology-Enabled Natural Language Processing Pipeline for Provenance Metadata Extraction from Biomedical Text (Short Paper)., , , , and . OTM Conferences, volume 10033 of Lecture Notes in Computer Science, page 699-708. (2016)An Extensible Ontology Modeling Approach Using Post Coordinated Expressions for Semantic Provenance in Biomedical Research., , , , , and . OTM Conferences (2), volume 10574 of Lecture Notes in Computer Science, page 337-352. Springer, (2017)Insight: An ontology-based integrated database and analysis platform for epilepsy self-management research., , , , , , , , , and . Int. J. Medical Informatics, (2016)Semantic Provenance Graph for Reproducibility of Biomedical Research Studies: Generating and Analyzing Graph Structures from Published Literature., , , and . MedInfo, volume 264 of Studies in Health Technology and Informatics, page 328-332. IOS Press, (2019)ProvCaRe: Characterizing scientific reproducibility of biomedical research studies using semantic provenance metadata., , , , and . Int. J. Medical Informatics, (2019)NeuroPigPen: A Scalable Toolkit for Processing Electrophysiological Signal Data in Neuroscience Applications Using Apache Pig., , , , , , , and . Frontiers Neuroinformatics, (2016)Scientific Reproducibility in Biomedical Research: Provenance Metadata Ontology for Semantic Annotation of Study Description., , and . AMIA, AMIA, (2016)ProvCaRe Semantic Provenance Knowledgebase: Evaluating Scientific Reproducibility of Research Studies., , , , and . AMIA, AMIA, (2017)