Kassy Raymond
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    • Data Requirements and Opportunities in Global Animal Health Research and Decision Making
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    • A framework for handling uncertainty in a large-scale programme estimating the Global Burden of Animal Diseases
    • GBADs Technical Guide
    • Global Burden of Animal Diseases informatics strategy, data quality and model interoperability
    • Identifying Inconsistencies in Data Quality Between FAOSTAT, WOAH, UN Agriculture Census, and National Data
    • Ontologies related to livestock for the Global Burden of Animal Diseases programme: a review
    • Ontologies related to livestock for the Global Burden of Animal Diseases programme: a review: EN-Ontologies related to livestock for the Global Burden of Animal Diseases programme: a review-FR-Examen des ontologies relatives aux animaux d'élevage pour les besoins du programme «Impact mondial des maladies animales»-ES-Revisión de ontologías relacionadas con la ganadería para el programa sobre el impacto global de las enfermedades animales
    • Rationalising development of classification systems describing livestock production systems for disease burden analysis within the Global Burden of Animal Diseases programme
    • Approximating the global economic (market) value of farmed animals
    • Informatics progress of the Global Burden of Animal Diseases programme towards data for One Health.
    • Collaborative Design Fundamentals for Software Engineers
    • Unsupervised Electrodermal Data Analysis Comparison between Biopac and Empatica E4 Data Collection Platforms.
    • Curtain Graphs: Using a Floating Baseline for Comparison in a Two-dimensional Graphical Space.
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Unsupervised Electrodermal Data Analysis Comparison between Biopac and Empatica E4 Data Collection Platforms.

Jan 1, 2022·
Kassy Raymond
,
Andrew Hamilton-Wright
· 0 min read
Cite
Type
Conference paper
Publication
DATA, 345–352
Last updated on Jan 1, 2022
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Curtain Graphs: Using a Floating Baseline for Comparison in a Two-dimensional Graphical Space. Jan 1, 2020 →

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