| ICBO_2018_61: Using the Oral Health and Disease Ontology to Study Dental Outcomes in National Dental PBRN Practices |
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| ICBO_2018_62: Reasoning over anatomical homology in the Phenoscape KB |
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| ICBO_2018_63: GO-MAP Implements CAFA Tools: Improved Automated Gene Function Annotation for Plants |
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| ICBO_2018_64: Development and implementation of the Sickle Cell Disease Ontology |
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| ICBO_2018_65: An ontology-driven data capture and catalogue framework for the development of research and clinical databases in Sickle Cell Disease |
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| ICBO_2018_66: Visualization of N-ary Relationships |
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| ICBO_2018_67: Vocabularies, Ontologies, APIs, and Formats for Heterogeneous High Throughput Crop Phenotyping Data |
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| ICBO_2018_68: The Planteome Project- Reference Ontologies for Data Integration |
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| ICBO_2018_69: An (ontological) patient perspectiv |
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| ICBO_2018_6: PHO: The Pharmacognosy Ontology |
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| ICBO_2018_70: Improving Convergence Rates of Deep Learning for Very Small Image Training Sets |
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| ICBO_2018_71: Comparative functional analysis in plants with Gramene |
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| ICBO_2018_72: Ontology-based Comparative Transcriptomics: Novel Drought Stress-Induced Genes and Pathways in Rice |
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| ICBO_2018_73: Taxa, metacoder, poppr and vcfR: Four packages for parsing, visualization, and manipulation of genetic, genomic and metagenomic data in R |
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| ICBO_2018_74: The many faces of ontological data |
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| ICBO_2018_75: ECOCORE: An ontology for core ecological concepts |
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| ICBO_2018_76: Designing and Building the IC-FOODS Foundry: Community, Technology, and Standards for a Semantic Web of Food |
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| ICBO_2018_77: Big Data Visualization |
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| ICBO_2018_7: A Quality Assurance Methodology for ChEBI Ontology Focusing on Uncommonly Modeled Concepts |
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| ICBO_2018_8: Using Equivalence Axioms from the Mammalian Phenotype Ontology to Facilitate Phenotype and Expression Comparisons |
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| ICBO_2018_9: A Protégé Plug-In for Test-Driven Ontology Development |
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