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Paper Citation Record · LEDGER

Transfer Learning-Based Label Proportions Method with Data of Uncertainty

As of 16 August 2026, this Paper Citation Record lists 59 of 59 outbound references and 0 inbound Pith citation observations for arXiv:1908.06603.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
1908.06603 v1

Coverage vector

measured 59 of 59 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T12:44:31.986028Z

measured 59 of 59 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

59 of 59 outbound references displayed

  • verified exact1
  • verified fuzzy56
  • unresolved2
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 454f31c9-146c-4405-82c7-9eccba570b02 · outbound

This paper cites Learning about individuals from group statistics.

Transfer Learning-Based Label Proportions Method with Data of Uncertainty Learning about individuals from group statistics

Reference 1

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 4bd51bbe-26bc-456a-94a1-537fe070f573 · outbound

This paper cites Estimating labels from label proportions.

Transfer Learning-Based Label Proportions Method with Data of Uncertainty Estimating labels from label proportions

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation a850990e-f6ce-48fa-a1e3-3a28e4c153b1 · outbound

This paper cites Estimating labels from label proportions.

Transfer Learning-Based Label Proportions Method with Data of Uncertainty Estimating labels from label proportions

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation ea12e211-7356-4d6b-9716-02a26bd9d6d4 · outbound

This paper cites On Learning from Label Proportions.

Transfer Learning-Based Label Proportions Method with Data of Uncertainty On Learning from Label Proportions

Reference 4

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation c5e0c029-8bd6-42e4-8c24-5fb475fa27a6 · outbound

This paper cites Multi-class learning from class proportions.

Transfer Learning-Based Label Proportions Method with Data of Uncertainty Multi-class learning from class proportions

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:44:32.826034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 02220127-aaa3-44cb-b812-021fff63d597 · outbound

This paper cites Modeling attributes from category-attribute proportions.

Transfer Learning-Based Label Proportions Method with Data of Uncertainty Modeling attributes from category-attribute proportions

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:44:32.815018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 01f1b891-3509-4384-8f3e-abbf8d212128 · outbound

This paper cites Video event detection by inferring temporal instance labels.

Transfer Learning-Based Label Proportions Method with Data of Uncertainty Video event detection by inferring temporal instance labels

Reference 7

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verified fuzzy
raw_fallback, observed 2026-08-14T12:44:32.802150Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 9a11133c-5480-40e5-8dbc-4f5342019744 · outbound

This paper cites Mining the Demographics of Political Sentiment from Twitter Using Learning from Label Proportions.

Transfer Learning-Based Label Proportions Method with Data of Uncertainty Mining the Demographics of Political Sentiment from Twitter Using Learning from Label Proportions

Reference 8

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verified exact
local_arxiv, observed 2026-08-14T12:44:32.051660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation d16b9e15-72d7-4a42-bcdd-49a813569184 · outbound

This paper cites $\propto$SVM for learning with label proportions.

Transfer Learning-Based Label Proportions Method with Data of Uncertainty $\propto$SVM for learning with label proportions

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-14T12:44:31.756526Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T12:44:31.756526Z digest=sha256:d5df2f9c3b7d4951b81fb2bf37c33dc8b51fe522a2b4e3dd00c3d8d4d17bf6ee

Observation 3cc39366-e6e9-4e2e-88d9-0eaaa132433c · outbound

This paper cites Linear twin svm for learning from label proportions.

Transfer Learning-Based Label Proportions Method with Data of Uncertainty Linear twin svm for learning from label proportions

Reference 10

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 7816f22b-8bb3-4b50-9126-2dc62cf39851 · outbound

This paper cites Learning naive bayes models for multiple-instance learning with label proportions.

Transfer Learning-Based Label Proportions Method with Data of Uncertainty Learning naive bayes models for multiple-instance learning with label proportions

Reference 11

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 8c117666-60fd-4b5e-acef-f6c598d87895 · outbound

This paper cites Learning a generative classifier from label proportions.

Transfer Learning-Based Label Proportions Method with Data of Uncertainty Learning a generative classifier from label proportions

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:44:32.759213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:44:31.772665Z digest=sha256:6e9c13c1cc45e7a913af20d543d29ac1b9e4e8a39c85fd502d6f0ab4cbf26575

Observation d00b5758-8e45-4022-968c-2fee091122cb · outbound

This paper cites Transfer learning by structural analogy.

Transfer Learning-Based Label Proportions Method with Data of Uncertainty Transfer learning by structural analogy

Reference 13

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation dcdaa07c-7c06-41e7-87e7-51a2039d3c21 · outbound

This paper cites A survey on transfer learning.

Transfer Learning-Based Label Proportions Method with Data of Uncertainty A survey on transfer learning

Reference 14

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:44:31.783461Z digest=sha256:277fdd0290ee6a4b0e867f40ad2c19135a39dac6c96ccc10e355df9a4dc3942f

Observation f8c05e38-9d60-471f-a780-f33c37105c82 · outbound

This paper cites Transitive transfer learning.

Transfer Learning-Based Label Proportions Method with Data of Uncertainty Transitive transfer learning

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:44:32.692181Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 21e2248f-1603-4886-b063-d50117817388 · outbound

This paper cites Regularized multi–task learning.

Transfer Learning-Based Label Proportions Method with Data of Uncertainty Regularized multi–task learning

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:44:32.664598Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation d2c9b80d-de55-4364-9ffb-702d368e75ef · outbound

This paper cites A survey of uncertain data algorithms and applications.

Transfer Learning-Based Label Proportions Method with Data of Uncertainty A survey of uncertain data algorithms and applications

Reference 17

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:44:31.797614Z digest=sha256:079cdd918b3650d03267358f4bc508a043b1b0cc3a18193c2b0c312eff81ff8a

Observation ec8f0cb8-748b-4520-ba8b-567593db7c62 · outbound

This paper cites Uncertain data clustering in distributed peer-to-peer networks.

Transfer Learning-Based Label Proportions Method with Data of Uncertainty Uncertain data clustering in distributed peer-to-peer networks

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:44:32.640589Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:44:31.802002Z digest=sha256:8768c41479deac878ce4525ee6832a97748e44e3418c17f7f92790d1bdef3014

Observation 8012ed75-a5e6-4972-ba77-965d13882ce5 · outbound

This paper cites A robust one-class transfer learning method with uncertain data.

Transfer Learning-Based Label Proportions Method with Data of Uncertainty A robust one-class transfer learning method with uncertain data

Reference 19

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 07121709-8e94-42f3-a3ab-475601413c37 · outbound

This paper cites Takagi–sugeno–kang transfer learning fuzzy logic system for the adaptive recognition of epileptic electroencephalogram signals.

Transfer Learning-Based Label Proportions Method with Data of Uncertainty Takagi–sugeno–kang transfer learning fuzzy logic system for the adaptive recognition of epileptic electroencephalogram signals

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:44:32.619243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 94bfc6b1-8357-4567-893c-82157488b96a · outbound

This paper cites Enhanced knowledge-leverage-based tsk fuzzy system modeling for inductive transfer learning.

Transfer Learning-Based Label Proportions Method with Data of Uncertainty Enhanced knowledge-leverage-based tsk fuzzy system modeling for inductive transfer learning

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:44:32.605096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 5ee2bbae-80dc-462e-bf23-92bf5c74db62 · outbound

This paper cites Svm classifier estimation from group probabilities.

Transfer Learning-Based Label Proportions Method with Data of Uncertainty Svm classifier estimation from group probabilities

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:44:32.591606Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 1fd86b4d-1cf2-4a43-84ae-ef85b3691d93 · outbound

This paper cites Laplacian svm for learning from label proportions.

Transfer Learning-Based Label Proportions Method with Data of Uncertainty Laplacian svm for learning from label proportions

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:44:32.577692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 4f5b4970-92ac-4b16-9a5d-df6dab8dd3f2 · outbound

This paper cites Learning with label proportions based on nonparallel support vector machines.

Transfer Learning-Based Label Proportions Method with Data of Uncertainty Learning with label proportions based on nonparallel support vector machines

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:44:32.565406Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 24c43beb-8842-483a-8de5-78f343db39c7 · outbound

This paper cites Learning with label proportions via npsvm.

Transfer Learning-Based Label Proportions Method with Data of Uncertainty Learning with label proportions via npsvm

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:44:32.551888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation e2fd5829-a7a2-4eaa-b9dd-ba31b19b928d · outbound

This paper cites A probabilistic approach for learning with label pro- portions applied to the us presidential election.

Transfer Learning-Based Label Proportions Method with Data of Uncertainty A probabilistic approach for learning with label pro- portions applied to the us presidential election

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:44:32.538999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 34493461-72ae-4ec5-9d6b-213dbd043e3e · outbound

This paper cites Learning from label proportions by optimizing cluster model se- lection.

Transfer Learning-Based Label Proportions Method with Data of Uncertainty Learning from label proportions by optimizing cluster model se- lection

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:44:32.525279Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:44:31.843480Z digest=sha256:15d30572a9fef255a93570afaa1e3f6cb891956506221288ba4627c87d799767

Observation 7ec93019-8742-4d33-96cf-c5a3e4f8e007 · outbound

This paper cites On the complexity of learning from label proportions.

Transfer Learning-Based Label Proportions Method with Data of Uncertainty On the complexity of learning from label proportions

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:44:32.509276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:44:31.847953Z digest=sha256:9d167d0176e95d4325f2abce1047f775eee209f388bafcc615aa1fa1f7846a39

Observation 3704374e-94d0-4460-9530-7ac900fa1dde · outbound

This paper cites Learning from label proportions on high- dimensional data.

Transfer Learning-Based Label Proportions Method with Data of Uncertainty Learning from label proportions on high- dimensional data

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:44:32.495135Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:44:31.852776Z digest=sha256:79f6f871e0d29254b2deaedeb460c393468b2355a2f65dd6dd31ba7acea88d43

Observation 8ab3d581-da56-4af9-abb2-db992d83d84e · outbound

This paper cites Hierarchical density-based clustering of uncertain data.

Transfer Learning-Based Label Proportions Method with Data of Uncertainty Hierarchical density-based clustering of uncertain data

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:44:32.480079Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:44:31.857014Z digest=sha256:36cbfc917f7dd9bcddfdc3c9ef77342b31b7df63811c0432a4fac5847830ea72

Observation 8af3d961-3f34-49fd-84dd-0b80b49db856 · outbound

This paper cites Effi- cient clustering of uncertain data.

Transfer Learning-Based Label Proportions Method with Data of Uncertainty Effi- cient clustering of uncertain data

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:44:32.468589Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 11bdb609-15af-44f3-9f34-fec4b84835ac · outbound

This paper cites On density based transforms for uncertain data mining.

Transfer Learning-Based Label Proportions Method with Data of Uncertainty On density based transforms for uncertain data mining

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:44:32.456783Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:44:31.866364Z digest=sha256:0da571d5665d4ce2e18473b16346953aa93d98ce4f228e2f0bfdba97a43628c7

Observation a4fc8caa-05f1-43e0-8b26-5cc993ef7550 · outbound

This paper cites Large margin clustering on uncertain data by considering probability distribution similarity.

Transfer Learning-Based Label Proportions Method with Data of Uncertainty Large margin clustering on uncertain data by considering probability distribution similarity

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:44:32.433244Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:44:31.876506Z digest=sha256:a3098185189e374c283611412e6f6c41a1c6d7669ca25287134d359d993dd302

Observation 84a4d72a-4e5a-4eeb-aa1c-30dd6d19b7ea · outbound

This paper cites Support vector classification with input data uncertainty.

Transfer Learning-Based Label Proportions Method with Data of Uncertainty Support vector classification with input data uncertainty

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:44:32.422569Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:44:31.881132Z digest=sha256:02649547f337ebf470807024c3af21785a4b047a1321ca4ec57a9b5f26975477

Observation 7fd659ae-e4f6-4083-8dee-9604b7dd4f7f · outbound

This paper cites Direct mining of discriminative patterns for classifying un- certain data.

Transfer Learning-Based Label Proportions Method with Data of Uncertainty Direct mining of discriminative patterns for classifying un- certain data

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:44:32.410356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:44:31.886032Z digest=sha256:e26e1dcc31de17ddeeeea427ea6ccc654e9dfb3a95a6b6988fe2a3b9894e0999

Observation 80e95799-9585-41a3-ba7e-9b2e760dcece · outbound

This paper cites Decision trees for uncertain data.

Transfer Learning-Based Label Proportions Method with Data of Uncertainty Decision trees for uncertain data

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:44:32.395209Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:44:31.889815Z digest=sha256:224780ff417f624148c68d5d79a2deb8316f6f2b05f24d6f316b152c3b22b122

Observation 478e835c-0925-40c5-bbe4-4b03b2cc33f7 · outbound

This paper cites Classification of uncertain data streams based on extreme learning machine.

Transfer Learning-Based Label Proportions Method with Data of Uncertainty Classification of uncertain data streams based on extreme learning machine

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:44:32.381427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:44:31.894477Z digest=sha256:37dbbc65e1f05c0ecd0a45e8807741de7d6d7f0d271cb222a4270d3fa52965e3

Observation 493a1d25-a4a4-44ca-84b9-fe28efe832a6 · outbound

This paper cites Two birds with one stone: Classifying positive and unlabeled examples on uncertain data streams.

Transfer Learning-Based Label Proportions Method with Data of Uncertainty Two birds with one stone: Classifying positive and unlabeled examples on uncertain data streams

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:44:32.367273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:44:31.898780Z digest=sha256:3cf6ecc3de0e364c5b1542161bc63f39e4038663628a8950472cf2939aa531d8

Observation 02908cad-b1fd-4f2f-9adf-f3340e52e7a1 · outbound

This paper cites Maximum likelihood estimation from uncertain data in the belief function frame- work.

Transfer Learning-Based Label Proportions Method with Data of Uncertainty Maximum likelihood estimation from uncertain data in the belief function frame- work

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:44:32.354991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:44:31.902613Z digest=sha256:43d158db645a3ff9d1b60726cdaae5abbf6ccfe5b6e277c474be79eaf2d5e5bc

Observation 71d13533-9aee-4891-b0de-fbf858201e8a · outbound

This paper cites Svdd-based outlier detection on uncertain data.

Transfer Learning-Based Label Proportions Method with Data of Uncertainty Svdd-based outlier detection on uncertain data

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:44:32.342889Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:44:31.907331Z digest=sha256:77c378aaf6d29f98470f1a7dcbb4bb557854e8b3be3a627a1e7197b13132b799

Observation 16967b4e-1004-4f22-a288-45e9f97e6b0e · outbound

This paper cites A novel anomaly detection algorithm for sensor data under uncertainty.

Transfer Learning-Based Label Proportions Method with Data of Uncertainty A novel anomaly detection algorithm for sensor data under uncertainty

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:44:32.330181Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:44:31.911516Z digest=sha256:188dc75aae4ce13c9c1f329cebc3048d7685724f64b76b9a97e6351600a36b12

Observation 6913bddb-3fbf-47c6-bcd6-f7f4bec210ef · outbound

This paper cites A simple method for estimating conditional probabilities for svms.

Transfer Learning-Based Label Proportions Method with Data of Uncertainty A simple method for estimating conditional probabilities for svms

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:44:32.318412Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:44:31.915731Z digest=sha256:a94748a5ee58bf3d51bc9cd748351d91eccce7c735ce20e4acc750e51bc2bdd8

Observation 19b56d06-c0a1-48ba-b713-a99b80d899cd · outbound

This paper cites Probabilistic outputs for support vector machines and comparisons to regularized likelihood methods.

Transfer Learning-Based Label Proportions Method with Data of Uncertainty Probabilistic outputs for support vector machines and comparisons to regularized likelihood methods

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:44:32.307957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:44:31.920386Z digest=sha256:a999b8bccf0a47f0a2ef261e3a8e9a052b5fc1c3fc75e416b1947f6f22e5060d

Observation 2ab5d5f3-5c66-4e25-9e81-9e17db903dc9 · outbound

This paper cites The total least squares problem: Computational aspects and analysis.

Transfer Learning-Based Label Proportions Method with Data of Uncertainty The total least squares problem: Computational aspects and analysis

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:44:32.295000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:44:31.924955Z digest=sha256:269bc7b1a7c56c8da017bc2d88b80b4affd553eb853260ffe60c427914722478

Observation 436bef8a-9fd4-41b9-bdf9-d5757290e7fc · outbound

This paper cites Support vector machines with input data uncertainty.

Transfer Learning-Based Label Proportions Method with Data of Uncertainty Support vector machines with input data uncertainty

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:44:32.283265Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:44:31.929704Z digest=sha256:3b8657776757c034b72e47e51b5a60580fda8da5e28a0f2948510fb7b116f6dc

Observation e43ffe4a-88e8-4973-a856-17a31ea83168 · outbound

This paper cites Uncertain one- class learning and concept summarization learning on uncertain data streams.

Transfer Learning-Based Label Proportions Method with Data of Uncertainty Uncertain one- class learning and concept summarization learning on uncertain data streams

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:44:32.269409Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:44:31.933705Z digest=sha256:cc569e303e81a8cf753e78a5935889f01ca34d2784b59f35cf8bbc9a741135dd

Observation ad146057-b891-4922-95e3-d17f8f95f1c1 · outbound

This paper cites Statistical learning theory.

Transfer Learning-Based Label Proportions Method with Data of Uncertainty Statistical learning theory

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:44:32.257889Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:44:31.937747Z digest=sha256:7109ffd0fead58ecce15fd56d8a1f45dbb7b6a8a01d93c27689b0ab09b87863a

Observation 60700b4a-fdf3-4b32-88f2-88f1ae098c3d · outbound

This paper cites Linear time maximum margin clustering.

Transfer Learning-Based Label Proportions Method with Data of Uncertainty Linear time maximum margin clustering

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:44:32.247262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:44:31.941918Z digest=sha256:a3e35e2ba080de216eed3e313f11038b46fc0901bb73674f4fa3ff9dcecfe112

Observation 86941621-3d3c-4fba-8e53-263fbd99aefb · outbound

This paper cites Transferring naive bayes classifiers for text classification.

Transfer Learning-Based Label Proportions Method with Data of Uncertainty Transferring naive bayes classifiers for text classification

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:44:32.235950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:44:31.945491Z digest=sha256:d62d0b5543949c462bccf5be33d13ad1ab04ff58d985174ed8bfb69712198fb2

Observation 98274565-da29-40c7-bf3d-98bf5c7d2018 · outbound

This paper cites Cross domain distribution adaptation via kernel mapping.

Transfer Learning-Based Label Proportions Method with Data of Uncertainty Cross domain distribution adaptation via kernel mapping

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:44:32.222314Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:44:31.949525Z digest=sha256:de54b3f89e502841aeaa6afdd06a0b60e8a4ebb2db39069f881874220642fd95

Observation 281b0f00-2081-4077-92c1-12aa060b32a0 · outbound

This paper cites M3miml: A maximum margin method for multi-instance multi- label learning.

Transfer Learning-Based Label Proportions Method with Data of Uncertainty M3miml: A maximum margin method for multi-instance multi- label learning

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:44:32.208089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:44:31.954516Z digest=sha256:9a2bd6c69fffd4d62104ba97de70ed0ebe85d2c179c2d5c6b6edc198cc5fb665

Observation ad2f5174-9fc2-4dbe-8be6-e3e5dee5c729 · outbound

This paper cites Multi-instance learning by treating instances as non- iid samples.

Transfer Learning-Based Label Proportions Method with Data of Uncertainty Multi-instance learning by treating instances as non- iid samples

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:44:32.191550Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:44:31.958999Z digest=sha256:bba9ef2477bedb57734866f0850503ab58aa827cc7034fb9346f780f0f2506b6

Observation a66232bf-3455-46b8-901b-e030e999a865 · outbound

This paper cites A selective multiple instance transfer learning method for text categorization problems.

Transfer Learning-Based Label Proportions Method with Data of Uncertainty A selective multiple instance transfer learning method for text categorization problems

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:44:32.171039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:44:31.964057Z digest=sha256:f18302f3f37bb94689b412398a782465aec00596bc1d666252a189c11318360a

Observation 10c751df-1dee-4505-a431-e4c5bd282938 · outbound

This paper cites Machine learning in automated text categorization.

Transfer Learning-Based Label Proportions Method with Data of Uncertainty Machine learning in automated text categorization

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:44:32.151332Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:44:31.969119Z digest=sha256:4f101c349d7e9dea5751e34a119a11a2927e26ceabc4111521e76d1a491e4557

Observation 2a448f0d-3a03-494e-881c-19cda388a04b · outbound

This paper cites Outlier detection with uncertain data.

Transfer Learning-Based Label Proportions Method with Data of Uncertainty Outlier detection with uncertain data

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:44:32.136632Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:44:31.973347Z digest=sha256:c6179cee0c21a697c814920b2b7c702fc09cbd2edc8dd38d489dd3d254c81c13

Observation 7223cba1-042b-4ee6-a0a9-bfd0214c089d · outbound

This paper cites An efficient approach for outlier detection with imperfect data labels.

Transfer Learning-Based Label Proportions Method with Data of Uncertainty An efficient approach for outlier detection with imperfect data labels

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:44:32.123172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:44:31.977917Z digest=sha256:ef981a22b3f5c816ad5ef4aeff4f90d78d73799350fec946a545b52a7fac6999

Observation 186e6e2a-3dd6-49cc-8421-fb25e1b9a10e · outbound

This paper cites Calculus: An intuitive and physical approach.

Transfer Learning-Based Label Proportions Method with Data of Uncertainty Calculus: An intuitive and physical approach

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:44:32.104057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:44:31.981837Z digest=sha256:b36a4c777fc188cd8704ed42401fd1d7cbc59ef006befd75a599b4841f72ea64

Observation ae9a85a3-16b7-4116-9ce5-5d88394062a9 · outbound

This paper cites A survey on cauchy-bunyakovsky-schwarz type discrete inequalities.

Transfer Learning-Based Label Proportions Method with Data of Uncertainty A survey on cauchy-bunyakovsky-schwarz type discrete inequalities

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:44:32.088103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:44:31.986028Z digest=sha256:33c14a2d20a4cf6ef21af5e22c19ed78164b87a1be8f441ed167c38bc8caa3db

Observation f50b7a01-7210-4615-a256-707ae66b9582 · outbound

This paper cites IEEE 23rd International Conference on , pages 866–875.

Transfer Learning-Based Label Proportions Method with Data of Uncertainty IEEE 23rd International Conference on , pages 866–875

Reference 2007

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:44:32.444990Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:44:31.872030Z digest=sha256:721c2d9cf5935640517d698a3bffbaa6faebb3e52131dba8ba8e6be3e85eb317

Pith citing papers

No inbound Pith citation observations are available.