Now showing items 21-40 of 488

    • Chest ImaGenome Dataset for Clinical Reasoning 

      Wu, Joy T.; Agu, Nkechinyere; Lourentzou, Ismini; Sharma, Arjun; Paguio, Joseph A.; Yao, Jasper S.; Dee, Edward C.; Mitchell, William; Kashyap, Satyananda; Giovannini, Andrea; Celi, Leo A.; Moradi, Mehdi (Neural Information Processing Systems, 2021)
      Despite the progress in automatic detection of radiologic findings from Chest X-Ray (CXR) images in recent years, a quantitative evaluation of the explainability of these models is hampered by the lack of locally labeled ...
    • Nanomine: A Knowledge Graph for Nanocomposite Materials Science 

      McCusker, Jamie; Keshan, Neha; Rashid, Sabbir; Deagen, Michael; Brinson, Cate; McGuinness, Deborah (2020-11-01)
      Knowledge graphs can be used to help scientists integrate and explore their data in novel ways. NanoMine, built with the Whyis knowledge graph framework, integrates diverse data from over 1,700 polymer nanocomposite ...
    • Explanation Ontology: A Model of Explanations for User-Centered AI 

      Chari, Shruthi; Seneviratne, Oshani; Gruen, Daniel; Foreman, Morgan; Das, Amar; McGuinness, Deborah (2020-11-01)
      Explainability has been a goal for Artificial Intelligence (AI) systems since their conception, with the need for explainability growing as more complex AI models are increasingly used in critical, high-stakes settings ...
    • Semantics-Driven Ingredient Substitution in the FoodKG 

      Shirai, Sola; Seneviratne, Oshani; Gordon, Minor; Chen, Ching Hua; McGuinness, Deborah (2020-11-01)
      The proliferation of recipes and other food information on the Web presents an opportunity for discovering and organizing diet-related knowledge into a knowledge graph. Currently, there are several ontologies related to ...
    • Transforming the study of organisms: Phenomic data models and knowledge bases 

      Thessen, Anne; Walls, Ramona; Vogt, Lars; Singer, Jessica; Warren, Robert; Buttigieg, Pier Luigi; Balhof, James; Mungall, Christopher; McGuinness, Deborah; Stucky, Brian; Yoder, Matthew; Haendel, Melissa (PLOS Computational Biology, 2020-11-01)
      The rapidly decreasing cost of gene sequencing has resulted in a deluge of genomic data from across the tree of life; however, outside a few model organism databases, genomic data are limited in their scientific impact ...
    • Explanation Ontology in Action: A Clinical Use-Case 

      Chari, Shruthi; Seneviratne, Oshani; Gruen, Daniel; Foreman, Morgan; Das, Amar; McGuinness, Deborah (2020-11-01)
      We addressed the problem of a lack of semantic representation for user-centric explanations and different explanation types in our Explanation Ontology (https://purl.org/heals/eo). Such a representation is increasingly ...
    • Data centric nanocomposites design via mixed-variable Bayesian optimization 

      Iyer, Akshay; Zhang, Yichi; Prasad, Aditya; Gupta, Praveen; Tao, Siyu; Wang, Yixian; Prabhune, Prajakta; Schadler, Linda; Brinson, Cate; Chen, Wei (Molecular Systems Design & Engineering, 2020-08-10)
      With an unprecedented combination of mechanical and electrical properties, polymer nanocomposites have the potential to be widely used across multiple industries. Tailoring nanocomposites to meet application specific ...
    • A Semi-Automated Approach to Data Harmonization Across Environmental Health Studies 

      Johnson, Matt; Ravi, Meenu; Pinheiro, Paulo; Stingone, Jeanette; McGuinness, Deborah (2020-08-01)
      The NIEHS-supported Human Health and Exposure Analysis Resource (HHEAR) Data Center maintains a public-use data repository to promote reuse of environmental health data generated by the HHEAR program. The creation and ...
    • Polymer Nanocomposite Data: Curation, Frameworks, Access and Potential for Discovery and Design 

      Brinson, Cate; Deagen, Michael; Chen, Wei; McCusker, Jamie; McGuinness, Deborah; Schadler, Linda; Palmeri, Marc; Ghumman, Umar; Lin, Anqi; Hu, Bingyin (American Chemical Society, Macro Letters, 2020-07-01)
      With the advent of the materials genome initiative (MGI) in the United States and a similar focus on materials data around the world, a number of materials data resources and associated vocabularies, tools, and repositories ...
    • The Semantic Data Dictionary- An Approach for Describing and Annotating Data 

      Rashid, Sabbir; McCusker, Jamie; Pinheiro, Paulo; Bax, Marcello; Santos, Henrique; Stingone, Jeanette; Das, Amar; McGuinness, Deborah (2020-04-01)
      It is common practice for data providers to include text descriptions for each column when publishing datasets in the form of data dictionaries. While these documents are useful in helping an end-user properly interpret ...
    • Foundations of Explainable Knowledge-Enabled Systems 

      Chari, Shruthi; Seneviratne, Oshani; Gruen, Daniel M.; McGuinness, Deborah (IOS Press, 2020-04)
      Explainability has been an important goal since the early days of Artificial Intelligence. Several approaches for producing explanations have been developed. However, many of these approaches were tightly coupled with the ...
    • Gastrointestinal Symptoms and Oral Antibiotic Use in Children with Autism Spectrum Disorder: Retrospective Analysis of a Privately Insured U.S. Population 

      Vargason, Troy; McGuinness, Deborah; Hahn, Juergen (Journal of Autism and Developmental Disorders, 2020-02-01)
      A retrospective analysis of administrative claims data from a large U.S. health insurer was performed to study a potential association between oral antibiotic use during early childhood and occurrence of later gastrointestinal ...
    • Towards a Face Recognition Model Analyzer 

      Johnson, Matt; Angel, John; McGuinness, Deborah (2020-01-01)
      Machine learning allows computers to learn a model for a given task, such as face recognition, with a high degree of accuracy, using data. However, after these models are generated, they are often treated as black boxes ...
    • A Semantic Framework for Enabling Radio Spectrum Policy Management and Evaluation 

      Santos, Henrique; Mulvehill, Alice; Erickson, John; McCusker, Jamie; Gordon, Minor; Xie, Owen; Stouffer, Samuel; Capraro, Gerard; Pidwerbetsky, Alex; Burgess, John; Berlinsky, Allan; Turck, Kurt; Ashdown, Jonathan; McGuinness, Deborah (2020)
      Because radio spectrum is a finite resource, its usage and sharing is regulated by government agencies. These agencies define policies to manage spectrum allocation and assignment across multiple organizations, systems, ...
    • Deep Learning for Noise-Tolerant RDFS Reasoning 

      Makni, Bassem (2019-10-12)
    • Making Study Populations Visible through Knowledge Graphs 

      Chari, Shruthi; Qim, Miao; Agu, Nkechinyere; Seneviratne, Oshani; McCusker, Jamie; Bennett, Kristin; Das, Amar; McGuinness, Deborah (2019-10-12)
    • Ontology-enabled Analysis of Study Populations 

      Chari, Shruthi; Qim, Miao; Agu, Nkechinyere; Seneviratne, Oshani; McCusker, Jamie; Bennett, Kristin; Das, Amar; McGuinness, Deborah (2019-10-01)
      We address the problem of modeling study populations in research studies in a declarative manner. Research studies often have a great degree of variability in the reporting of population descriptions. To make study populations ...
    • FoodKG Enabled Questions and Answers Application 

      Haussmann, Steven; Chen, Yu; Seneviratne, Oshani; Rastogi, Nidhi; Codella, James; Chen, Ching Hua; McGuinness, Deborah; Zaki, Mohammed (2019-10-01)
      We demonstrate the usage of our FoodKG [3], a food knowledge graph designed to assist in food recommendation. This resource, which brings together recipes, nutrition, food taxonomies, and links into existing ontologies, ...
    • The CHEAR Data Repository: Facilitating children’s environmental health and exposome research through data harmonization, pooling and accessibility. 

      Stingone, Jeanette; Pinheiro, Paulo; Meola, Jay; McCusker, Jamie; Bengoa, Sofia; Kovatch, Patricia; McGuinness, Deborah; Teitelbaum, Susan (Environmental Epidemiology, 2019-10-01)
      Funded by the U.S. National Institute of Environmental Health Sciences, the Children’s Health Exposure Analysis Resource (CHEAR) provides scientific investigators access to laboratory and statistical analyses aimed at ...
    • FoodKG: A Semantics-Driven Knowledge Graph for Food Recommendation 

      Haussmann, Steven; Seneviratne, Oshani; Chen, Yu; Ne'eman, Yarden; Codella, James; Chen, Ching Hua; McGuinness, Deborah; Zaki, Mohammed (2019-10-01)
      The proliferation of recipes and other food information on the Web presents an opportunity for discovering and organizing diet-related knowledge into a knowledge graph. Currently, there are several ontologies related to ...