Improving the accuracy of automated labeling of specimen images datasets via a confidence-based process | Paper Citation Record

Observation b1411f86-2ffd-4b95-9ccd-ba8c70a22814 · outbound

This paper cites Deep learning as a tool for ecology and evolution,.

Improving the accuracy of automated labeling of specimen images datasets via a confidence-based process Deep learning as a tool for ecology and evolution,

Reference 1

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This paper cites Application of deep learning in ecological resource research: Theories, methods, and challenges,.

Improving the accuracy of automated labeling of specimen images datasets via a confidence-based process Application of deep learning in ecological resource research: Theories, methods, and challenges,

Reference 2

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This paper cites Applications for deep learning in ecology,.

Improving the accuracy of automated labeling of specimen images datasets via a confidence-based process Applications for deep learning in ecology,

Reference 3

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Observation b54ea734-273e-41ed-a985-e48a231c8479 · outbound

This paper cites Going deeper in the automated identification of herbarium specimens,.

Improving the accuracy of automated labeling of specimen images datasets via a confidence-based process Going deeper in the automated identification of herbarium specimens,

Reference 4

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This paper cites Leafnet: A computer vision system for automatic plant species identification,.

Improving the accuracy of automated labeling of specimen images datasets via a confidence-based process Leafnet: A computer vision system for automatic plant species identification,

Reference 5

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Observation fc6cb34c-2afe-402f-a265-be71057887d9 · outbound

This paper cites Toward a large-scale and deep phenological stage annotation of herbarium specimens: Case studies from temperate, tropical, and equatorial floras,.

Improving the accuracy of automated labeling of specimen images datasets via a confidence-based process Toward a large-scale and deep phenological stage annotation of herbarium specimens: Case studies from temperate, tropical, and equatorial floras,

Reference 6

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Observation 4867b2e5-bcce-4096-81ff-d234e419cc31 · outbound

This paper cites Dissecting the phenotypic components of crop plant growth and drought responses based on high-throughput image analysis,.

Improving the accuracy of automated labeling of specimen images datasets via a confidence-based process Dissecting the phenotypic components of crop plant growth and drought responses based on high-throughput image analysis,

Reference 7

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Observation b24a564b-bd6b-45d3-9ee3-595bea2e717a · outbound

This paper cites Automated identification of northern leaf blight-infected maize plants from field imagery using deep learning,.

Improving the accuracy of automated labeling of specimen images datasets via a confidence-based process Automated identification of northern leaf blight-infected maize plants from field imagery using deep learning,

Reference 8

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Observation 7c51d4fd-3d17-4365-b411-86e9c04615f7 · outbound

This paper cites Automatically identifying, counting, and describing wild animals in camera-trap images with deep learning,.

Improving the accuracy of automated labeling of specimen images datasets via a confidence-based process Automatically identifying, counting, and describing wild animals in camera-trap images with deep learning,

Reference 9

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Observation 4d46b73b-8420-4081-a9a5-5a05f6f1d915 · outbound

This paper cites A deep active learning system for species identification and counting in camera trap images,.

Improving the accuracy of automated labeling of specimen images datasets via a confidence-based process A deep active learning system for species identification and counting in camera trap images,

Reference 10

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Observation 0bb41dec-6c74-4fba-8595-8663741a5133 · outbound

This paper cites Robust ecological analysis of camera trap data labelled by a machine learning model,.

Improving the accuracy of automated labeling of specimen images datasets via a confidence-based process Robust ecological analysis of camera trap data labelled by a machine learning model,

Reference 11

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Observation 0e518f4e-340e-4c98-922f-6ca6de951d64 · outbound

This paper cites A first step towards automated species recognition from camera trap images of mammals using ai in a european temperate forest,.

Improving the accuracy of automated labeling of specimen images datasets via a confidence-based process A first step towards automated species recognition from camera trap images of mammals using ai in a european temperate forest,

Reference 12

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Observation e46818f9-0ecb-4a5d-a843-62ca8340437b · outbound

This paper cites Machine Learning-based Estimation of Forest Carbon Stocks to increase Transparency of Forest Preservation Efforts.

Improving the accuracy of automated labeling of specimen images datasets via a confidence-based process Machine Learning-based Estimation of Forest Carbon Stocks to increase Transparency of Forest Preservation Efforts

Reference 13

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Observation dfc8c6af-44ac-45ad-83f1-7d877a45b0e5 · outbound

This paper cites Digitization and the future of natural history collections,.

Improving the accuracy of automated labeling of specimen images datasets via a confidence-based process Digitization and the future of natural history collections,

Reference 14

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Observation f619a7e5-1c46-4cb3-aa34-3979ea72c461 · outbound

This paper cites GBIF: Global Biodiversity Information Facility,.

Improving the accuracy of automated labeling of specimen images datasets via a confidence-based process GBIF: Global Biodiversity Information Facility,

Reference 15

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Observation a36484dd-1790-43cb-8ef8-232a61822edc · outbound

This paper cites idigbio as a resource for the digitization of a billion biodiversity research specimens,.

Improving the accuracy of automated labeling of specimen images datasets via a confidence-based process idigbio as a resource for the digitization of a billion biodiversity research specimens,

Reference 16

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Observation d2bcdc6c-ea9a-4ad8-851f-d41d1df68db3 · outbound

This paper cites Phenology models using herbarium specimens are only slightly improved by using finer-scale stages of reproduction,.

Improving the accuracy of automated labeling of specimen images datasets via a confidence-based process Phenology models using herbarium specimens are only slightly improved by using finer-scale stages of reproduction,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:04:26.290637Z

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Observation 83fb62d8-7941-4514-9051-8ed49086314c · outbound

This paper cites Maximizing human effort for analyzing scientific images: A case study using digitized herbarium sheets,.

Improving the accuracy of automated labeling of specimen images datasets via a confidence-based process Maximizing human effort for analyzing scientific images: A case study using digitized herbarium sheets,

Reference 18

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Observation 7beb836a-c7e9-4805-82c0-99dcd02aeeb8 · outbound

This paper cites On optimum recognition error and reject tradeoff,.

Improving the accuracy of automated labeling of specimen images datasets via a confidence-based process On optimum recognition error and reject tradeoff,

Reference 19

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Observation 7a290b9b-8175-44da-894d-7cf5cf9b87cb · outbound

This paper cites Accuracy-rejection curves (arcs) for comparing classification methods with a reject option,.

Improving the accuracy of automated labeling of specimen images datasets via a confidence-based process Accuracy-rejection curves (arcs) for comparing classification methods with a reject option,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:04:26.255001Z

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Observation baf9434a-ffff-4e16-929e-677211be309f · outbound

This paper cites Ad- dressing failure prediction by learning model confidence,.

Improving the accuracy of automated labeling of specimen images datasets via a confidence-based process Ad- dressing failure prediction by learning model confidence,

Reference 21

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Observation dd5d792e-708d-4e2e-8995-c5afa73d9e8e · outbound

This paper cites To trust or not to trust a classifier,.

Improving the accuracy of automated labeling of specimen images datasets via a confidence-based process To trust or not to trust a classifier,

Reference 22

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Observation 641dfd79-5657-4d7e-8dd4-45f9892b2007 · outbound

This paper cites Selective classification for deep neural networks,.

Improving the accuracy of automated labeling of specimen images datasets via a confidence-based process Selective classification for deep neural networks,

Reference 23

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Observation dcc5f997-9607-4af1-9383-1d6527e3677e · outbound

This paper cites Macrophenology: insights into the broad-scale patterns, drivers, and consequences of phenology,.

Improving the accuracy of automated labeling of specimen images datasets via a confidence-based process Macrophenology: insights into the broad-scale patterns, drivers, and consequences of phenology,

Reference 24

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Observation 4d3d588a-1497-4645-bd56-3639847efcfe · outbound

This paper cites Herbarium specimens demonstrate earlier flowering times in response to warming in boston,.

Improving the accuracy of automated labeling of specimen images datasets via a confidence-based process Herbarium specimens demonstrate earlier flowering times in response to warming in boston,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:04:26.197556Z

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Observation 9b4d44ca-6ac4-4e08-9840-a2eeeb8c628d · outbound

This paper cites Global warming and flowering times in thoreau’s concord: a community perspective,.

Improving the accuracy of automated labeling of specimen images datasets via a confidence-based process Global warming and flowering times in thoreau’s concord: a community perspective,

Reference 26

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Observation 7b25e186-c182-4cb2-a072-313a26888b77 · outbound

This paper cites Record-breaking early flowering in the eastern united states,.

Improving the accuracy of automated labeling of specimen images datasets via a confidence-based process Record-breaking early flowering in the eastern united states,

Reference 27

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Observation ed6f215b-a308-401b-bb08-8c81463aae77 · outbound

This paper cites Climate change and flowering phenology in worcester county, massachusetts,.

Improving the accuracy of automated labeling of specimen images datasets via a confidence-based process Climate change and flowering phenology in worcester county, massachusetts,

Reference 28

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Observation 6d408d4e-cff9-43ca-b8f8-60abf9911b81 · outbound

This paper cites Climate change and flowering phenology in franklin county, massachusetts1,.

Improving the accuracy of automated labeling of specimen images datasets via a confidence-based process Climate change and flowering phenology in franklin county, massachusetts1,

Reference 29

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Observation 447af45a-3dad-4067-99d1-f211f89022b8 · outbound

This paper cites Phenological response to climate change in china: a meta-analysis,.

Improving the accuracy of automated labeling of specimen images datasets via a confidence-based process Phenological response to climate change in china: a meta-analysis,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:04:26.137436Z

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Observation 886011a7-9887-4f5a-849f-d1ee0609c51f · outbound

This paper cites Fingerprints of global warming on wild animals and plants,.

Improving the accuracy of automated labeling of specimen images datasets via a confidence-based process Fingerprints of global warming on wild animals and plants,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:04:26.126676Z

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Observation 04070e3a-b832-4293-94db-b73923c55100 · outbound

This paper cites Favorable climate change response explains non-native species’ success in thoreau’s woods,.

Improving the accuracy of automated labeling of specimen images datasets via a confidence-based process Favorable climate change response explains non-native species’ success in thoreau’s woods,

Reference 32

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Observation e74de249-5481-4126-8f3c-4f1c5e3c2144 · outbound

This paper cites Herbarium specimens reveal the footprint of climate change on flowering trends across north-central north america,.

Improving the accuracy of automated labeling of specimen images datasets via a confidence-based process Herbarium specimens reveal the footprint of climate change on flowering trends across north-central north america,

Reference 33

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Observation 0b304b4d-e298-4361-af2b-4c0238146d5d · outbound

This paper cites Herbarium specimens show patterns of fruiting phenology in native and invasive plant species across new england,.

Improving the accuracy of automated labeling of specimen images datasets via a confidence-based process Herbarium specimens show patterns of fruiting phenology in native and invasive plant species across new england,

Reference 34

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Observation 4be91f8a-507a-400c-8460-b871e4a28ef1 · outbound

This paper cites Bbn network for inaturalist competition,.

Improving the accuracy of automated labeling of specimen images datasets via a confidence-based process Bbn network for inaturalist competition,

Reference 35

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Observation 91dc78b8-3943-4331-9b8b-dff748d08e92 · outbound

This paper cites Photographs and herbarium specimens as tools to document phenological changes in response to global warming,.

Improving the accuracy of automated labeling of specimen images datasets via a confidence-based process Photographs and herbarium specimens as tools to document phenological changes in response to global warming,

Reference 36

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Observation 98053961-49a1-4710-9459-4ca79e0416f2 · outbound

This paper cites Herbarium specimens, photographs, and field observations show philadelphia area plants are responding to climate change,.

Improving the accuracy of automated labeling of specimen images datasets via a confidence-based process Herbarium specimens, photographs, and field observations show philadelphia area plants are responding to climate change,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:04:26.035153Z

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Observation 1c6e8c30-409d-4584-89e1-40481f00815c · outbound

This paper cites Herbarium records are reliable sources of phenological change driven by climate and provide novel insights into species’ phenological cueing mechanisms,.

Improving the accuracy of automated labeling of specimen images datasets via a confidence-based process Herbarium records are reliable sources of phenological change driven by climate and provide novel insights into species’ phenological cueing mechanisms,

Reference 38

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Observation 5a1782cb-8566-4a35-8597-796788d4373b · outbound

This paper cites Old plants, new tricks: Phenological research using herbarium specimens,.

Improving the accuracy of automated labeling of specimen images datasets via a confidence-based process Old plants, new tricks: Phenological research using herbarium specimens,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:04:26.000252Z

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Observation 1fc6cdec-3730-4acf-acc1-6e9a92b5f479 · outbound

This paper cites Herbarium specimens provide reliable estimates of phenological responses to climate at unparalleled taxonomic and spatiotemporal scales,.

Improving the accuracy of automated labeling of specimen images datasets via a confidence-based process Herbarium specimens provide reliable estimates of phenological responses to climate at unparalleled taxonomic and spatiotemporal scales,

Reference 40

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Observation fdadfc20-33ba-4cdc-a9b5-153561a4fa05 · outbound

This paper cites Plasticity and not adaptation is the primary 15 source of temperature-mediated variation in flowering phenology in north america,.

Improving the accuracy of automated labeling of specimen images datasets via a confidence-based process Plasticity and not adaptation is the primary 15 source of temperature-mediated variation in flowering phenology in north america,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:04:25.971310Z

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Observation 92fc1b23-8742-4994-ab61-3944320a53ea · outbound

This paper cites Herbarium records provide reliable phenology estimates in the understudied tropics,.

Improving the accuracy of automated labeling of specimen images datasets via a confidence-based process Herbarium records provide reliable phenology estimates in the understudied tropics,

Reference 42

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Observation b57024b7-b250-412c-85ba-42428b3804ae · outbound

This paper cites Phylogenetic conservatism in plant phenology,.

Improving the accuracy of automated labeling of specimen images datasets via a confidence-based process Phylogenetic conservatism in plant phenology,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:04:25.945763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 809aa03d-bae1-4941-b3d0-0f5139f46dc5 · outbound

This paper cites Leaf out times of temperate woody plants are related to phylogeny, deciduousness, growth habit and wood anatomy,.

Improving the accuracy of automated labeling of specimen images datasets via a confidence-based process Leaf out times of temperate woody plants are related to phylogeny, deciduousness, growth habit and wood anatomy,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:04:25.931628Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 77c6613d-dd93-4ced-b3b8-9639489febd6 · outbound

This paper cites Back to the future for plant phenology research,.

Improving the accuracy of automated labeling of specimen images datasets via a confidence-based process Back to the future for plant phenology research,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:04:25.919015Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 56d229c7-56a7-4f83-af66-d4cf3eda0753 · outbound

This paper cites Herbarium specimens reveal substantial and unexpected variation in phenological sensitivity across the eastern united states,.

Improving the accuracy of automated labeling of specimen images datasets via a confidence-based process Herbarium specimens reveal substantial and unexpected variation in phenological sensitivity across the eastern united states,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:04:25.905535Z

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Observation acfcea19-3c0b-4564-9759-d30306a9b146 · outbound

This paper cites Advances in flowering phenology across the northern hemisphere are explained by functional traits,.

Improving the accuracy of automated labeling of specimen images datasets via a confidence-based process Advances in flowering phenology across the northern hemisphere are explained by functional traits,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:04:25.882387Z

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Observation 66bbb1a8-ad61-49d8-931a-dd1666cb1206 · outbound

This paper cites Linkage between species traits and plant phenology in an alpine meadow,.

Improving the accuracy of automated labeling of specimen images datasets via a confidence-based process Linkage between species traits and plant phenology in an alpine meadow,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:04:25.864057Z

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Observation cf2292ad-13ce-4305-8fec-b06c71eb1f78 · outbound

This paper cites Functional traits influence patterns in vegetative and reproductive plant phenology–a multi-botanical garden study,.

Improving the accuracy of automated labeling of specimen images datasets via a confidence-based process Functional traits influence patterns in vegetative and reproductive plant phenology–a multi-botanical garden study,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:04:25.851035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ba739d81-85b7-4fb6-b1ed-4714fd5e175c · outbound

This paper cites The influence of climate warming on flowering phenology in relation to historical annual and seasonal temperatures and plant functional traits,.

Improving the accuracy of automated labeling of specimen images datasets via a confidence-based process The influence of climate warming on flowering phenology in relation to historical annual and seasonal temperatures and plant functional traits,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:04:25.835609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 44fcf3cb-0477-40c9-90a4-31a30ce9936d · outbound

This paper cites Siberian plants shift their phenology in response to climate change,.

Improving the accuracy of automated labeling of specimen images datasets via a confidence-based process Siberian plants shift their phenology in response to climate change,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:04:25.814180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ece712f5-d977-4433-ba65-2a3667521475 · outbound

This paper cites Spring flowering response to climate change between 1936 and 2006 in alberta, canada,.

Improving the accuracy of automated labeling of specimen images datasets via a confidence-based process Spring flowering response to climate change between 1936 and 2006 in alberta, canada,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:04:25.801951Z

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Observation aba26ef7-b710-4ad0-a017-7e48547c0362 · outbound

This paper cites Shifts in flowering phenology in response to spring temperatures in eastern tennessee,.

Improving the accuracy of automated labeling of specimen images datasets via a confidence-based process Shifts in flowering phenology in response to spring temperatures in eastern tennessee,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:04:25.787601Z

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Observation 1ffa380e-4bd0-4576-b283-29b71d546667 · outbound

This paper cites Divergent responses to spring and winter warming drive community level flowering trends,.

Improving the accuracy of automated labeling of specimen images datasets via a confidence-based process Divergent responses to spring and winter warming drive community level flowering trends,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:04:25.770633Z

Source-reported events for the cited work

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Observation 7a1fd117-5623-48ed-962d-f390644a62db · outbound

This paper cites Spring-and fall-flowering species show diverging phenological responses to climate in the southeast usa,.

Improving the accuracy of automated labeling of specimen images datasets via a confidence-based process Spring-and fall-flowering species show diverging phenological responses to climate in the southeast usa,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:04:25.756469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ee18c977-547f-45b7-9b04-951185f06187 · outbound

This paper cites Temporal variations in frost-free season in the united states: 1895– 2000,.

Improving the accuracy of automated labeling of specimen images datasets via a confidence-based process Temporal variations in frost-free season in the united states: 1895– 2000,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:04:25.741273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation dd9ccc1e-d974-4f78-b074-de94174743df · outbound

This paper cites Global warming and the disruption of plant–pollinator interactions,.

Improving the accuracy of automated labeling of specimen images datasets via a confidence-based process Global warming and the disruption of plant–pollinator interactions,

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:04:25.730228Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 6732650e-3751-4f8a-871f-f4101d7a6037 · outbound

This paper cites Effects of experimental shifts in flowering phenology on plant–pollinator interactions,.

Improving the accuracy of automated labeling of specimen images datasets via a confidence-based process Effects of experimental shifts in flowering phenology on plant–pollinator interactions,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:04:25.719601Z

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Observation e2dced02-f2ce-4ed5-93a3-f2bf2af15e33 · outbound

This paper cites Plant-pollinator interactions over 120 years: loss of species, co-occurrence, and function,.

Improving the accuracy of automated labeling of specimen images datasets via a confidence-based process Plant-pollinator interactions over 120 years: loss of species, co-occurrence, and function,

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:04:25.706972Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 9e949612-4705-4508-841f-93f02e112579 · outbound

This paper cites Phenological shifts alter the seasonal structure of pollinator assemblages in europe,.

Improving the accuracy of automated labeling of specimen images datasets via a confidence-based process Phenological shifts alter the seasonal structure of pollinator assemblages in europe,

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:04:25.694222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 5e90553c-96f9-4847-96f9-3bf8e72b1fa6 · outbound

This paper cites Plant phenology shifts and their ecological and climatic consequences,.

Improving the accuracy of automated labeling of specimen images datasets via a confidence-based process Plant phenology shifts and their ecological and climatic consequences,

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:04:25.681252Z

Source-reported events for the cited work

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Observation 67ebecd1-0c2c-4f3b-9c50-35a4ffcdc2b7 · outbound

This paper cites Doubtful pathways to cold tolerance in plants,.

Improving the accuracy of automated labeling of specimen images datasets via a confidence-based process Doubtful pathways to cold tolerance in plants,

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:04:25.668556Z

Source-reported events for the cited work

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Observation 4ded1efd-ba08-4797-9f13-f72dabe9c865 · outbound

This paper cites Model clades are vital for comparative biology, and ascertainment bias is not a problem in practice: a response to beaulieu and o’meara (2018),.

Improving the accuracy of automated labeling of specimen images datasets via a confidence-based process Model clades are vital for comparative biology, and ascertainment bias is not a problem in practice: a response to beaulieu and o’meara (2018),

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:04:25.656608Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 4478d066-8e85-4a75-b06d-8f758ce6b5b3 · outbound

This paper cites Widespread sampling biases in herbaria revealed from large-scale digitization,.

Improving the accuracy of automated labeling of specimen images datasets via a confidence-based process Widespread sampling biases in herbaria revealed from large-scale digitization,

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:04:25.642975Z

Source-reported events for the cited work

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Observation 6da0a76c-9308-4ec6-8a3c-d0d5131241c0 · outbound

This paper cites Biolog- ical collections for understanding biodiversity in the anthropocene,.

Improving the accuracy of automated labeling of specimen images datasets via a confidence-based process Biolog- ical collections for understanding biodiversity in the anthropocene,

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:04:25.631013Z

Source-reported events for the cited work

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Observation 1263646b-43a9-410d-ba78-3cc4060302d4 · outbound

This paper cites Herbarium data: Global biodiversity and societal botanical needs for novel research,.

Improving the accuracy of automated labeling of specimen images datasets via a confidence-based process Herbarium data: Global biodiversity and societal botanical needs for novel research,

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:04:25.617336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation cc72d50f-2703-4675-8d07-2e028a771d11 · outbound

This paper cites The new england vascular plants project: 295,000 specimens and counting,.

Improving the accuracy of automated labeling of specimen images datasets via a confidence-based process The new england vascular plants project: 295,000 specimens and counting,

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:04:25.604825Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c87946d5-61ad-46a1-a5af-28a54afaa13b · outbound

This paper cites Xception: Deep learning with depthwise separable convolutions,.

Improving the accuracy of automated labeling of specimen images datasets via a confidence-based process Xception: Deep learning with depthwise separable convolutions,

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:04:25.594641Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 1294774a-896b-402c-a6f7-65943458e6c1 · outbound

This paper cites Visualizing data using t-sne.

Improving the accuracy of automated labeling of specimen images datasets via a confidence-based process Visualizing data using t-sne

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-12T20:04:25.345078Z

Source-reported events for the cited work

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Observation 41249f4b-33a2-411a-983e-2d1e7972436d · outbound

This paper cites Cnh portal,.

Improving the accuracy of automated labeling of specimen images datasets via a confidence-based process Cnh portal,

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:04:25.576983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 05ed8315-cae6-48f9-9d2f-9b909c944caa · outbound

This paper cites U. taxonstand: An r package for standardiz- ing scientific names of plants and animals,.

Improving the accuracy of automated labeling of specimen images datasets via a confidence-based process U. taxonstand: An r package for standardiz- ing scientific names of plants and animals,

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:04:25.565931Z

Source-reported events for the cited work

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Observation 22cba577-861c-4a4a-81f0-3296397d5235 · outbound

This paper cites The plants database,.

Improving the accuracy of automated labeling of specimen images datasets via a confidence-based process The plants database,

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:04:25.553497Z

Source-reported events for the cited work

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Observation dee839db-d511-4d0b-bb47-7b87c360f49d · outbound

This paper cites Usda plants help,.

Improving the accuracy of automated labeling of specimen images datasets via a confidence-based process Usda plants help,

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:04:25.541716Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e884a0e6-8f7d-40f9-abcd-404dd0e95050 · outbound

This paper cites National wetland plant list,.

Improving the accuracy of automated labeling of specimen images datasets via a confidence-based process National wetland plant list,

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:04:25.529346Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a7cf4daa-5353-48a9-8797-c6fa5f9366fd · outbound

This paper cites National wetland plant list website,.

Improving the accuracy of automated labeling of specimen images datasets via a confidence-based process National wetland plant list website,

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:04:25.515976Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 1fa60654-eccc-457f-a5dc-5d12688386f6 · outbound

This paper cites National wetland plant list indicator rating definitions,.

Improving the accuracy of automated labeling of specimen images datasets via a confidence-based process National wetland plant list indicator rating definitions,

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:04:25.500793Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 0c2a40e3-22d5-49fc-b444-9ab7aa7a229e · outbound

This paper cites Constructing a broadly inclusive seed plant phylogeny,.

Improving the accuracy of automated labeling of specimen images datasets via a confidence-based process Constructing a broadly inclusive seed plant phylogeny,

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:04:25.485726Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation dc66b093-b167-4068-a659-a134bd5ac77e · outbound

This paper cites The maximum likelihood approach to reconstructing ancestral character states of discrete characters on phylogenies,.

Improving the accuracy of automated labeling of specimen images datasets via a confidence-based process The maximum likelihood approach to reconstructing ancestral character states of discrete characters on phylogenies,

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:04:25.473985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 13cdd8aa-71d9-40b6-a6a6-e02e37bf3424 · outbound

This paper cites Geiger: investigating evolutionary radiations,.

Improving the accuracy of automated labeling of specimen images datasets via a confidence-based process Geiger: investigating evolutionary radiations,

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:04:25.461750Z

Source-reported events for the cited work

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Observation ca1853e3-2a3f-405d-a971-e49a016cd6e1 · outbound

This paper cites Detecting correlated evolution on phylogenies: a general method for the comparative analysis of discrete characters,.

Improving the accuracy of automated labeling of specimen images datasets via a confidence-based process Detecting correlated evolution on phylogenies: a general method for the comparative analysis of discrete characters,

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:04:25.449251Z

Source-reported events for the cited work

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