ED-Filter: Dynamic Feature Filtering for Eating Disorder Classification | Paper Citation Record

Observation 20845121-2137-4892-8e9a-f47066c71a49 · outbound

This paper cites Risk factors for eating disorders: findings from a rapid review.

ED-Filter: Dynamic Feature Filtering for Eating Disorder Classification Risk factors for eating disorders: findings from a rapid review

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:20:20.091547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 903aef4b-783d-459a-b971-2b644326360f · outbound

This paper cites A mixed- studies systematic review of the experiences of body image, disordered eating, and eating disorders during the covid-19 pandemic.

ED-Filter: Dynamic Feature Filtering for Eating Disorder Classification A mixed- studies systematic review of the experiences of body image, disordered eating, and eating disorders during the covid-19 pandemic

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:20:20.079370Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 5decb82f-c7f1-4181-a510-5585b4507d14 · outbound

This paper cites Diagnosis and prognosis of mental disorders by means of eeg and deep learning: a systematic mapping study.

ED-Filter: Dynamic Feature Filtering for Eating Disorder Classification Diagnosis and prognosis of mental disorders by means of eeg and deep learning: a systematic mapping study

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:20:20.067447Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 19bd8a75-647a-4218-a942-441823c0af12 · outbound

This paper cites Eating and exercise behaviors in eating disorders and the general population during the covid-19 pandemic in australia: Initial results from the collate project.

ED-Filter: Dynamic Feature Filtering for Eating Disorder Classification Eating and exercise behaviors in eating disorders and the general population during the covid-19 pandemic in australia: Initial results from the collate project

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:20:20.055663Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 68e4144e-ea15-49d6-9e2c-485835315d2f · outbound

This paper cites Pike, Stuart B.

ED-Filter: Dynamic Feature Filtering for Eating Disorder Classification Pike, Stuart B

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:20:20.045204Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation bb11c98e-b850-47f4-ac42-26b5557fc730 · outbound

This paper cites The neurobiology of eating disorders.

ED-Filter: Dynamic Feature Filtering for Eating Disorder Classification The neurobiology of eating disorders

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:20:20.034652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation a28fda4e-2799-42e3-b572-1f7ed1ff60ad · outbound

This paper cites Predicting mental health problems with personality, behavior, and social networks.

ED-Filter: Dynamic Feature Filtering for Eating Disorder Classification Predicting mental health problems with personality, behavior, and social networks

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:20:20.023067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 930cc2fd-ccc5-4a04-acfa-0d65e31a549f · outbound

This paper cites an unresolved cited work.

ED-Filter: Dynamic Feature Filtering for Eating Disorder Classification Unresolved cited work

Reference 8

Resolution: unresolved; raw_fallback, observed 2026-08-10T22:20:20.011921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation ac02478b-05ac-4fa4-a4e1-8dd21776304f · outbound

This paper cites The impact of covid-19 lockdown on social network sites use, body image disturbances and self-esteem among adolescent and young women.

ED-Filter: Dynamic Feature Filtering for Eating Disorder Classification The impact of covid-19 lockdown on social network sites use, body image disturbances and self-esteem among adolescent and young women

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:20:20.000642Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 45464409-70c8-4958-add9-b8aa21147404 · outbound

This paper cites A systematic review of the impact of the use of social networking sites on body image and disordered eating outcomes.

ED-Filter: Dynamic Feature Filtering for Eating Disorder Classification A systematic review of the impact of the use of social networking sites on body image and disordered eating outcomes

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:20:19.989520Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation b1645fae-32d4-4c89-863c-2dd59cdba7f2 · outbound

This paper cites Twitter: a good place to detect health conditions.

ED-Filter: Dynamic Feature Filtering for Eating Disorder Classification Twitter: a good place to detect health conditions

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:20:19.978611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 947cedff-2a0e-476b-9ba5-800a0dbaab0c · outbound

This paper cites Data-driven computational social science: A survey.

ED-Filter: Dynamic Feature Filtering for Eating Disorder Classification Data-driven computational social science: A survey

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:20:19.967416Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 2e5c7a45-6c8c-483b-8c7d-3ee96dffbbea · outbound

This paper cites Mobile multimedia recommendation in smart communities: A survey.IEEE Access, 1:606–624, 2013.

ED-Filter: Dynamic Feature Filtering for Eating Disorder Classification Mobile multimedia recommendation in smart communities: A survey.IEEE Access, 1:606–624, 2013

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:20:19.955612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation e2608b65-7fb6-40f3-9247-2004e2ed5838 · outbound

This paper cites Classification of twitter users with eating disorder engagement: Learning from the biographies.

ED-Filter: Dynamic Feature Filtering for Eating Disorder Classification Classification of twitter users with eating disorder engagement: Learning from the biographies

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:20:19.941831Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation a854d584-8d2d-4d9c-8bb2-1e0cbd46f8f5 · outbound

This paper cites Jarman, Mohammad Abuhassan, Adrian Shatte, WIRED Team, and Suku Sukunesan.

ED-Filter: Dynamic Feature Filtering for Eating Disorder Classification Jarman, Mohammad Abuhassan, Adrian Shatte, WIRED Team, and Suku Sukunesan

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:20:19.931081Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation a32481ac-11b2-4339-8b79-a135dc2b87eb · outbound

This paper cites Haynos, and Rui Zhang.

ED-Filter: Dynamic Feature Filtering for Eating Disorder Classification Haynos, and Rui Zhang

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:20:19.920495Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 174475b3-2fa1-4d4d-b916-0b9ff5627348 · outbound

This paper cites Tweeting weight loss: A comparison of #thinspiration and #fitspiration communities on twitter.

ED-Filter: Dynamic Feature Filtering for Eating Disorder Classification Tweeting weight loss: A comparison of #thinspiration and #fitspiration communities on twitter

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:20:19.909588Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation b9a462ae-541f-445f-b972-75a1f0742c9b · outbound

This paper cites Clear, Eric Gilbert, and Munmun De Choudhury.

ED-Filter: Dynamic Feature Filtering for Eating Disorder Classification Clear, Eric Gilbert, and Munmun De Choudhury

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:20:19.899614Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 5f0f1e7e-f693-4a28-a025-817cbb5976f2 · outbound

This paper cites Fitspiration and thinspiration: a comparison across three social networking sites.

ED-Filter: Dynamic Feature Filtering for Eating Disorder Classification Fitspiration and thinspiration: a comparison across three social networking sites

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:20:19.889789Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 46cad167-9f93-4c05-8f8d-adaf6287f59a · outbound

This paper cites A review of feature selection methods with applications.

ED-Filter: Dynamic Feature Filtering for Eating Disorder Classification A review of feature selection methods with applications

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:20:19.880019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation a8a293fb-357f-4cd6-a75f-4290c1741ce0 · outbound

This paper cites Shifu2: A network representation learning based model for advisor-advisee relationship mining.

ED-Filter: Dynamic Feature Filtering for Eating Disorder Classification Shifu2: A network representation learning based model for advisor-advisee relationship mining

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:20:19.868774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation f36337ea-27fa-440e-87ef-68f26511ff06 · outbound

This paper cites Feature subset selection for multi-scale neighborhood decision information system via mutual information.

ED-Filter: Dynamic Feature Filtering for Eating Disorder Classification Feature subset selection for multi-scale neighborhood decision information system via mutual information

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:20:19.856823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 54ced923-aa36-4509-b6a0-1ff73b5a74f7 · outbound

This paper cites Deep outdated fact detection in knowledge graphs.

ED-Filter: Dynamic Feature Filtering for Eating Disorder Classification Deep outdated fact detection in knowledge graphs

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:20:19.843871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 920f435a-b260-43bf-a1f9-f1653ab87f4c · outbound

This paper cites A review of artificial intelligence methods for engineering prognostics and health management with implementation guidelines.

ED-Filter: Dynamic Feature Filtering for Eating Disorder Classification A review of artificial intelligence methods for engineering prognostics and health management with implementation guidelines

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:20:19.832993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 5756bf38-c2ce-4ea9-9eb5-2b6d7e528b8e · outbound

This paper cites A correlation- based feature weighting filter for naive bayes.

ED-Filter: Dynamic Feature Filtering for Eating Disorder Classification A correlation- based feature weighting filter for naive bayes

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:20:19.820883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation f21c07e2-6aa0-4386-a874-2c6a3158ae5b · outbound

This paper cites Vallejo, Jos´ e A.

ED-Filter: Dynamic Feature Filtering for Eating Disorder Classification Vallejo, Jos´ e A

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:20:19.809122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 06a5797c-e43d-42d7-af67-8db38a60fc34 · outbound

This paper cites Data-driven approximations to np-hard problems.

ED-Filter: Dynamic Feature Filtering for Eating Disorder Classification Data-driven approximations to np-hard problems

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:20:19.797743Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation ac04c878-6ad6-44fa-9a3c-ac2740bbcd2f · outbound

This paper cites A framework for clustering and dynamic maintenance of XML documents.

ED-Filter: Dynamic Feature Filtering for Eating Disorder Classification A framework for clustering and dynamic maintenance of XML documents

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:20:19.785821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 72b5fcd5-432f-4eaf-898b-a14b9ad6702e · outbound

This paper cites Saiful Islam, Chengfei Liu, and Irene Moser.

ED-Filter: Dynamic Feature Filtering for Eating Disorder Classification Saiful Islam, Chengfei Liu, and Irene Moser

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:20:19.773766Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation ff8dc8c9-9abe-471f-a72c-490d964e1491 · outbound

This paper cites Saiful Islam, Chengfei Liu, and Lu Chen.

ED-Filter: Dynamic Feature Filtering for Eating Disorder Classification Saiful Islam, Chengfei Liu, and Lu Chen

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:20:19.762794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 697fd5d3-c3f1-4f7a-aac5-88a20ea49907 · outbound

This paper cites Saiful Islam, and Rui Zhou.

ED-Filter: Dynamic Feature Filtering for Eating Disorder Classification Saiful Islam, and Rui Zhou

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:20:19.748004Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 4828febb-ac74-456e-bab5-7132258ecd24 · outbound

This paper cites A dynamic mlp-based ddos attack detection method using feature selection and feedback.

ED-Filter: Dynamic Feature Filtering for Eating Disorder Classification A dynamic mlp-based ddos attack detection method using feature selection and feedback

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:20:19.735454Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation a9b62db4-eabb-46e5-9de1-0f8ec5a2422f · outbound

This paper cites Semi- supervised feature selection via hierarchical regression for web image classifica- tion.

ED-Filter: Dynamic Feature Filtering for Eating Disorder Classification Semi- supervised feature selection via hierarchical regression for web image classifica- tion

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:20:19.723710Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation d0870a90-b73c-4057-b46b-c48979687688 · outbound

This paper cites Hira and Duncan Fyfe Gillies.

ED-Filter: Dynamic Feature Filtering for Eating Disorder Classification Hira and Duncan Fyfe Gillies

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:20:19.710323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 77e7481a-71fb-4b26-ae6f-faa0a0c9f79d · outbound

This paper cites A framework for processing cumulative frequency queries over medical data streams.

ED-Filter: Dynamic Feature Filtering for Eating Disorder Classification A framework for processing cumulative frequency queries over medical data streams

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:20:19.699084Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 2c1acfe9-3e3a-45a2-ad2d-fa3e6ac1448e · outbound

This paper cites Benchmark for filter methods for feature selection in high-dimensional classification data.

ED-Filter: Dynamic Feature Filtering for Eating Disorder Classification Benchmark for filter methods for feature selection in high-dimensional classification data

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:20:19.686963Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 7b63808b-e990-44d1-a7bb-51e2fa90c6ef · outbound

This paper cites Feature selection and classification–a probabilis- tic wrapper approach.

ED-Filter: Dynamic Feature Filtering for Eating Disorder Classification Feature selection and classification–a probabilis- tic wrapper approach

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:20:19.675116Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 8393247d-83d7-4647-8bbd-a33338bf45b0 · outbound

This paper cites A new feature selec- tion technique for load and price forecast of electrical power systems.

ED-Filter: Dynamic Feature Filtering for Eating Disorder Classification A new feature selec- tion technique for load and price forecast of electrical power systems

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:20:19.663519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation dc4857c1-1687-48c6-9712-3faef05e0076 · outbound

This paper cites Toward optimal feature selection in naive bayes for text categorization.

ED-Filter: Dynamic Feature Filtering for Eating Disorder Classification Toward optimal feature selection in naive bayes for text categorization

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:20:19.650724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation ba5cc529-6058-4ef8-8759-88bad70e5b9f · outbound

This paper cites Scstcf: spatial-channel selection and temporal regularized correlation filters for visual tracking.

ED-Filter: Dynamic Feature Filtering for Eating Disorder Classification Scstcf: spatial-channel selection and temporal regularized correlation filters for visual tracking

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:20:19.638174Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 0fcf07bc-f5b9-4226-b597-edc7eb10b430 · outbound

This paper cites Mctwo: a two-step feature selection algorithm based on maximal information coefficient.

ED-Filter: Dynamic Feature Filtering for Eating Disorder Classification Mctwo: a two-step feature selection algorithm based on maximal information coefficient

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:20:19.625166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation eeec47c3-203d-4783-a77c-b802fb5ca5c0 · outbound

This paper cites Fea- ture selection using lebesgue and entropy measures for incomplete neighborhood decision systems.

ED-Filter: Dynamic Feature Filtering for Eating Disorder Classification Fea- ture selection using lebesgue and entropy measures for incomplete neighborhood decision systems

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:20:19.613061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 863fa19e-9f8d-4a50-84f4-e40086824bb2 · outbound

This paper cites Machine learning for mental health in social media: Bibliometric study.

ED-Filter: Dynamic Feature Filtering for Eating Disorder Classification Machine learning for mental health in social media: Bibliometric study

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:20:19.599305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 282c87e7-e0f6-44c0-a6b7-e68fafe77e7f · outbound

This paper cites A framework for multi-faceted content analysis of social media chatter regarding non-medical use of prescription medications.

ED-Filter: Dynamic Feature Filtering for Eating Disorder Classification A framework for multi-faceted content analysis of social media chatter regarding non-medical use of prescription medications

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:20:19.587862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 593ad8e0-a0b3-488a-a63b-3062783b0d2d · outbound

This paper cites Mining social media for prescription medication abuse monitoring: a review and proposal for a data- centric framework.

ED-Filter: Dynamic Feature Filtering for Eating Disorder Classification Mining social media for prescription medication abuse monitoring: a review and proposal for a data- centric framework

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:20:19.575973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation a8a3de53-bf35-48ad-bb56-d4b614c45907 · outbound

This paper cites Sentiment analysis in social media data for depression detection using artificial intelligence: A review.

ED-Filter: Dynamic Feature Filtering for Eating Disorder Classification Sentiment analysis in social media data for depression detection using artificial intelligence: A review

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:20:19.563583Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation cb18aa9a-b068-4a71-be59-c274f4963ea7 · outbound

This paper cites Toro, Mahmood Alzubaidi, Sara Irshaidat, Hashem Abu Serhan, Alaa A.

ED-Filter: Dynamic Feature Filtering for Eating Disorder Classification Toro, Mahmood Alzubaidi, Sara Irshaidat, Hashem Abu Serhan, Alaa A

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:20:19.550970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation d70d8a75-3d38-452c-adf8-fc5150533bd3 · outbound

This paper cites an unresolved cited work.

ED-Filter: Dynamic Feature Filtering for Eating Disorder Classification Unresolved cited work

Reference 48

Resolution: unresolved; raw_fallback, observed 2026-08-10T22:20:19.539101Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 525b2207-ad87-4527-a75f-1efe453558d1 · outbound

This paper cites Predictors, mediators, and moderators of response to digital interventions for eating disorders: A systematic review.

ED-Filter: Dynamic Feature Filtering for Eating Disorder Classification Predictors, mediators, and moderators of response to digital interventions for eating disorders: A systematic review

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:20:19.527326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 00d1f59d-afbd-43ba-ba14-1a093de4a37d · outbound

This paper cites Bert model-based approach for detecting categories of tweets in the field of eating disorders (ed).

ED-Filter: Dynamic Feature Filtering for Eating Disorder Classification Bert model-based approach for detecting categories of tweets in the field of eating disorders (ed)

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:20:19.515124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 2b922a86-a524-47c7-8abc-e6ac32e15bb8 · outbound

This paper cites Prevalence of eating disorders over the 2000–2018 period: a systematic literature review.

ED-Filter: Dynamic Feature Filtering for Eating Disorder Classification Prevalence of eating disorders over the 2000–2018 period: a systematic literature review

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:20:19.503730Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation ba140d72-63e8-4c13-b051-afd84dccff73 · outbound

This paper cites Concurrent and prospective analyses of peer, television and social media influ- ences on body dissatisfaction, eating disorder symptoms and life satisfaction in adolescent girls.

ED-Filter: Dynamic Feature Filtering for Eating Disorder Classification Concurrent and prospective analyses of peer, television and social media influ- ences on body dissatisfaction, eating disorder symptoms and life satisfaction in adolescent girls

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:20:19.490714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation a806ff3a-7f7a-4c34-8e7e-b2b08e87df45 · outbound

This paper cites Rodgers, and Fanny Alexandra Dietel.

ED-Filter: Dynamic Feature Filtering for Eating Disorder Classification Rodgers, and Fanny Alexandra Dietel

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:20:19.478296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 6d155674-0923-46a9-ab59-0bad79e0faf1 · outbound

This paper cites an unresolved cited work.

ED-Filter: Dynamic Feature Filtering for Eating Disorder Classification Unresolved cited work

Reference 54

Resolution: unresolved; raw_fallback, observed 2026-08-10T22:20:19.465436Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 7b720fea-ca6f-4057-b4a7-84e0a976e089 · outbound

This paper cites McLean Rachel F Rodgers and Susan J.

ED-Filter: Dynamic Feature Filtering for Eating Disorder Classification McLean Rachel F Rodgers and Susan J

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:20:19.454321Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 5b78e885-0991-4693-8bcc-99137f7a05ae · outbound

This paper cites Whistleblowing and tech on twitter.

ED-Filter: Dynamic Feature Filtering for Eating Disorder Classification Whistleblowing and tech on twitter

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:20:19.443168Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 22d335b1-4ca1-43f0-a88d-e8dcb2021e85 · outbound

This paper cites Empow- ering machine learning models with contextual knowledge for enhancing the detection of eating disorders in social media posts.

ED-Filter: Dynamic Feature Filtering for Eating Disorder Classification Empow- ering machine learning models with contextual knowledge for enhancing the detection of eating disorders in social media posts

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:20:19.431921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 6ef40671-1e7c-4d6b-90f2-aa3a4d3ec454 · outbound

This paper cites Methodologies for monitoring mental health on twitter: systematic review.

ED-Filter: Dynamic Feature Filtering for Eating Disorder Classification Methodologies for monitoring mental health on twitter: systematic review

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:20:19.419116Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 062e8776-ed3f-429b-adac-c51d5d9e5e9e · outbound

This paper cites A novel adaptive memetic binary optimization algorithm for feature selection.

ED-Filter: Dynamic Feature Filtering for Eating Disorder Classification A novel adaptive memetic binary optimization algorithm for feature selection

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:20:19.407772Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 8aa7fa30-8290-43d3-a98e-d422e41ec459 · outbound

This paper cites Gayathri Devi and M.

ED-Filter: Dynamic Feature Filtering for Eating Disorder Classification Gayathri Devi and M

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:20:19.396538Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 1397c55f-f67e-4f17-bc7f-8d8719aacb21 · outbound

This paper cites an unresolved cited work.

ED-Filter: Dynamic Feature Filtering for Eating Disorder Classification Unresolved cited work

Reference 61

Resolution: unresolved; raw_fallback, observed 2026-08-10T22:20:19.384718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 3fc14352-aade-4dc9-827f-d29b2f436e7d · outbound

This paper cites Wrapper- based feature selection for medical diagnosis: The btlbo-knn algorithm.

ED-Filter: Dynamic Feature Filtering for Eating Disorder Classification Wrapper- based feature selection for medical diagnosis: The btlbo-knn algorithm

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:20:19.371921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation b9549753-db62-4f9e-bded-11da03f19ab8 · outbound

This paper cites Logtiw:a log anomaly detection model based on tf-idf weighted semantic features.

ED-Filter: Dynamic Feature Filtering for Eating Disorder Classification Logtiw:a log anomaly detection model based on tf-idf weighted semantic features

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:20:19.359773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 969cb2e2-e1a5-48b7-a6fe-2f3021dc6860 · outbound

This paper cites A review of feature selection and its methods.

ED-Filter: Dynamic Feature Filtering for Eating Disorder Classification A review of feature selection and its methods

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:20:19.346161Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 977c2585-d941-4f13-b912-09c57e74f417 · outbound

This paper cites Discovering structure in high-dimensional data through correlation explanation.

ED-Filter: Dynamic Feature Filtering for Eating Disorder Classification Discovering structure in high-dimensional data through correlation explanation

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:20:19.332739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 39c4c300-67d5-43d4-b4e3-5735b76bf88e · outbound

This paper cites Rizvi, Yefeng Wang, Thao Nguyen, Jake Vasilakes, Jiang Bian, Zhe He, and Rui Zhang.

ED-Filter: Dynamic Feature Filtering for Eating Disorder Classification Rizvi, Yefeng Wang, Thao Nguyen, Jake Vasilakes, Jiang Bian, Zhe He, and Rui Zhang

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:20:19.319956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 62d9c178-3d5c-4862-964c-bc02130a4766 · outbound

This paper cites A feature selection method based on information gain and genetic algo- rithm.

ED-Filter: Dynamic Feature Filtering for Eating Disorder Classification A feature selection method based on information gain and genetic algo- rithm

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:20:19.308128Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation ac6c995b-e5a4-40dc-9c12-73bb3bc6aca5 · outbound

This paper cites Urbanowicz, Melissa Meeker, William La Cava, Randal S.

ED-Filter: Dynamic Feature Filtering for Eating Disorder Classification Urbanowicz, Melissa Meeker, William La Cava, Randal S

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:20:19.294197Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 44ba08db-c672-43d8-84bd-6f5ce2585a32 · outbound

This paper cites an unresolved cited work.

ED-Filter: Dynamic Feature Filtering for Eating Disorder Classification Unresolved cited work

Reference 69

Resolution: unresolved; raw_fallback, observed 2026-08-10T22:20:19.281070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation ac3b4f8f-7023-459d-bc02-fb393c7836c9 · outbound

This paper cites G´ amez, and Jos´ e M.

ED-Filter: Dynamic Feature Filtering for Eating Disorder Classification G´ amez, and Jos´ e M

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:20:19.268514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 070560c6-0ad3-4253-9923-3ebe7cefd66b · outbound

This paper cites Competitive swarm optimized svd clutter filtering for ultrafast power doppler imaging.

ED-Filter: Dynamic Feature Filtering for Eating Disorder Classification Competitive swarm optimized svd clutter filtering for ultrafast power doppler imaging

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:20:19.256171Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation ccb2365d-d81f-430b-ba60-cf207ad917ad · outbound

This paper cites A revised formation of trace ratio lda for small sample size problem.

ED-Filter: Dynamic Feature Filtering for Eating Disorder Classification A revised formation of trace ratio lda for small sample size problem

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:20:19.243341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers