Combining Machine Learning & Reasoning for Biodiversity Data Intelligence
暂无分享,去创建一个
Nico M. Franz | Atriya Sen | Beckett W. Sterner | Caleb Powel | Nathan Upham | N. Franz | Atriya Sen | Nate Upham | B. Sterner | Caleb Powel
[1] Bertram Ludäscher,et al. Two Influential Primate Classifications Logically Aligned , 2016, Systematic biology.
[2] Bertram Ludäscher,et al. Reasoning about taxonomies in first-order logic , 2007, Ecol. Informatics.
[3] Roberta E. Martin,et al. Quantifying Tropical Plant Diversity Requires an Integrated Technological Approach. , 2020, Trends in ecology & evolution.
[4] En Zhu,et al. Deep Clustering with Convolutional Autoencoders , 2017, ICONIP.
[5] Vincent S. Smith,et al. No specimen left behind: industrial scale digitization of natural history collections , 2012, ZooKeys.
[6] Y. Hu,et al. Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China , 2020, The Lancet.
[7] R. Guralnick,et al. The tempo and mode of the taxonomic correction process: How taxonomists have corrected and recorrected North American bird species over the last 127 years , 2018, PloS one.
[8] Alena Bartonova,et al. A global database for metacommunity ecology, integrating species, traits, environment and space , 2020, Scientific Data.
[9] Gerald F Guala,et al. The Importance of Species Name Synonyms in Literature Searches , 2016, PloS one.
[10] Brett R. Scheffers,et al. Global wildlife trade across the tree of life , 2019, Science.
[11] Naeem Ramzan,et al. Taxonomy Matching Using Background Knowledge , 2017, Springer International Publishing.
[12] Pamela S Soltis,et al. Old Plants, New Tricks: Phenological Research Using Herbarium Specimens. , 2017, Trends in ecology & evolution.
[13] V. Nijman,et al. Disappearing in the Night: An Overview on Trade and Legislation of Night Monkeys in South and Central America , 2017, Folia Primatologica.
[14] Rachel L. White,et al. Insights from social media into the illegal trade of wild raptors in Thailand , 2020 .
[15] David Remsen,et al. The use and limits of scientific names in biological informatics , 2016, ZooKeys.
[16] J. Ratcliffe,et al. Phylogeny matters: revisiting ‘a comparison of bats and rodents as reservoirs of zoonotic viruses’ , 2019, Royal Society Open Science.
[17] Patrick Mäder,et al. Machine learning for image based species identification , 2018, Methods in Ecology and Evolution.
[18] N. Maxted,et al. Spatial analyses of occurrence data of crop wild relatives (CWR) taxa as tools for selection of sites for conservation of priority CWR in Zambia , 2019, Plant Genetic Resources: Characterization and Utilization.
[19] Connor J. Burgin,et al. How many species of mammals are there? , 2018, Journal of Mammalogy.
[20] Eyal Amir,et al. Compact Propositional Encodings of First-Order Theories , 2005, IJCAI.
[21] S. Ellis,et al. The history and impact of digitization and digital data mobilization on biodiversity research , 2018, Philosophical Transactions of the Royal Society B.
[22] V. Nijman,et al. Wildlife trade shifts from brick-and-mortar markets to virtual marketplaces: A case study of birds of prey trade in Thailand , 2020, Journal of Asia-Pacific Biodiversity.
[23] Jorge Soberón,et al. A global perspective on decadal challenges and priorities in biodiversity informatics , 2015, BMC Ecology.
[24] S. Marsden,et al. Spatio-temporal dynamics of consumer demand driving the Asian Songbird Crisis , 2020 .
[25] A. H. Malik,et al. Impediment to Taxonomy and Its Impact on Biodiversity Science: An Indian Perspective , 2012, Proceedings of the National Academy of Sciences, India Section B: Biological Sciences.
[26] Nico M. Franz,et al. To increase trust, change the social design behind aggregated biodiversity data , 2017, bioRxiv.
[27] E.J. Milner-Gulland,et al. Illegal Wildlife Trade: Scale, Processes, and Governance , 2019, Annual Review of Environment and Resources.
[28] R. Peet,et al. Perspectives: Towards a language for mapping relationships among taxonomic concepts , 2009 .
[29] C. Rondinini,et al. Geographic distribution ranges of terrestrial mammal species in the 1970s. , 2019, Ecology.
[30] R. Jacobs,et al. The species dilemma and its potential impact on enforcing wildlife trade laws , 2018, Evolutionary anthropology.
[31] Anne Bowser,et al. The Bari Manifesto: An interoperability framework for essential biodiversity variables , 2019, Ecol. Informatics.
[32] Bertram Ludäscher,et al. Verbalizing phylogenomic conflict: Representation of node congruence across competing reconstructions of the neoavian explosion , 2017, bioRxiv.
[33] Bertram Ludäscher,et al. Euler/X: A Toolkit for Logic-based Taxonomy Integration , 2013, WFLP 2013.
[34] Harald Ganzinger,et al. Set constraints are the monadic class , 1993, [1993] Proceedings Eighth Annual IEEE Symposium on Logic in Computer Science.
[35] Robert Mesibov,et al. An audit of some processing effects in aggregated occurrence records , 2018, ZooKeys.
[36] Le Prestre,et al. Governing Global Biodiversity : The Evolution and Implementation of the Convention on Biological Diversity , 2002 .
[37] Leopold Löwenheim. Über Möglichkeiten im Relativkalkül , 1915 .
[38] Anthony G. Cohn,et al. Qualitative Spatial Representation and Reasoning , 2008, Handbook of Knowledge Representation.
[39] Christoph Fink,et al. A framework for investigating illegal wildlife trade on social media with machine learning , 2018, Conservation biology : the journal of the Society for Conservation Biology.
[40] P. Curtis,et al. Herbarium specimens reveal the footprint of climate change on flowering trends across north-central North America , 2013, Ecology letters.
[41] Georgina M Mace,et al. The role of taxonomy in species conservation. , 2004, Philosophical transactions of the Royal Society of London. Series B, Biological sciences.
[42] Beckett W. Sterner,et al. Coordinating dissent as an alternative to consensus classification: insights from systematics for bio-ontologies , 2020, History and Philosophy of the Life Sciences.
[43] James P. Balhoff,et al. Matching arthropod anatomy ontologies to the Hymenoptera Anatomy Ontology: results from a manual alignment , 2013, Database J. Biol. Databases Curation.
[44] Nico M. Franz,et al. Taxonomy for Humans or Computers? Cognitive Pragmatics for Big Data , 2017 .
[45] Konstantin Olschofsky,et al. Rapid field identification of cites timber species by deep learning , 2020 .
[46] V. Nijman,et al. Illegal pet trade on social media as an emerging impediment to the conservation of Asian otters species , 2018, Journal of Asia-Pacific Biodiversity.
[47] J. Hawkins,et al. Comparison of Herbarium Label Data and Published Medicinal Use: Herbaria as an Underutilized Source of Ethnobotanical Information , 2017, Economic Botany.
[48] Staffan Müller-Wille,et al. Natural history and information overload: The case of Linnaeus , 2012, Studies in history and philosophy of biological and biomedical sciences.
[49] Jimmy Ba,et al. Adam: A Method for Stochastic Optimization , 2014, ICLR.
[50] The Gene Ontology Consortium. Expansion of the Gene Ontology knowledgebase and resources , 2016, Nucleic Acids Res..
[51] Cesare Tinelli,et al. Quantifier Instantiation Techniques for Finite Model Finding in SMT , 2013, CADE.
[52] Priscilla H. C. Crawford,et al. Can herbarium records be used to map alien species invasion and native species expansion over the past 100 years? , 2009 .
[53] Robert Mesibov,et al. A specialist’s audit of aggregated occurrence records , 2013, ZooKeys.