RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences | Paper Citation Record

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This paper cites Journal of Computer Science and Technology Studies6(4), 92–101 (2024).

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences Journal of Computer Science and Technology Studies6(4), 92–101 (2024)

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This paper cites Available at SSRN 3969455 (2021) Title Suppressed Due to Excessive Length 13.

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences Available at SSRN 3969455 (2021) Title Suppressed Due to Excessive Length 13

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This paper cites International Journal of Research in Humanities and Social Studies10(1), 31–42 (2023).

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences International Journal of Research in Humanities and Social Studies10(1), 31–42 (2023)

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RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences In: 18 International Multidisciplinary Scientific Geoconference SGEM 2018: Conference Proceedings

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RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences In: International Conference on Big Data and Smart Digital Environment

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This paper cites AMAR (An- dalas Management Review)5(2), 95–123 (2021).

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences AMAR (An- dalas Management Review)5(2), 95–123 (2021)

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This paper cites Netherlands (2019).

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences Netherlands (2019)

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Reference 10

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This paper cites Journal of Interactive Marketing 23(2), 157–168 (2009).

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences Journal of Interactive Marketing 23(2), 157–168 (2009)

Reference 11

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This paper cites Mathematics11(5), 1137 (2023).

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences Mathematics11(5), 1137 (2023)

Reference 12

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This paper cites European journal of operational research164(1), 252–268 (2005).

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences European journal of operational research164(1), 252–268 (2005)

Reference 13

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This paper cites Expert Systems with Applications36(3), 4626–4636 (2009).

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences Expert Systems with Applications36(3), 4626–4636 (2009)

Reference 14

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This paper cites Algorithms17(6), 231 (2024).

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences Algorithms17(6), 231 (2024)

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This paper cites Information Systems and e- Business Management13, 475–494 (2015).

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences Information Systems and e- Business Management13, 475–494 (2015)

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This paper cites VideoLLaMA 2: Advancing Spatial-Temporal Modeling and Audio Understanding in Video-LLMs.

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences VideoLLaMA 2: Advancing Spatial-Temporal Modeling and Audio Understanding in Video-LLMs

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RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences In: International Conference on Information Integration and Web In- telligence

Reference 18

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This paper cites Information Process- ing & Management (2021).

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences Information Process- ing & Management (2021)

Reference 19

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This paper cites Journal of Discrete Mathematical Sciences and Cryptography25(7), 1965–1985 (2022) 14 S.

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences Journal of Discrete Mathematical Sciences and Cryptography25(7), 1965–1985 (2022) 14 S

Reference 20

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This paper cites IEEE Transactions on Geoscience and Remote Sensing (2024).

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences IEEE Transactions on Geoscience and Remote Sensing (2024)

Reference 21

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RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences In: Proceedings of the IEEE conference on computer vision and pattern recognition

Reference 22

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This paper cites Journal of Labor Economics (2023).

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences Journal of Labor Economics (2023)

Reference 23

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This paper cites Manufacturing & Service Operations Management22(1), 191–202 (2020).

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences Manufacturing & Service Operations Management22(1), 191–202 (2020)

Reference 24

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This paper cites an image isworth 16×16 words: transformers for im- age recognition atscale.

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences an image isworth 16×16 words: transformers for im- age recognition atscale

Reference 25

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RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 26

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This paper cites Journal of Consumer Satisfaction, Dissatisfaction and Complaining Behavior 14, 46–54 (2001).

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences Journal of Consumer Satisfaction, Dissatisfaction and Complaining Behavior 14, 46–54 (2001)

Reference 27

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This paper cites Marketing Science29(6), 1086–1108 (2010).

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences Marketing Science29(6), 1086–1108 (2010)

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This paper cites In: Proceedings of the 29th ACM International Conference on Multimedia.

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences In: Proceedings of the 29th ACM International Conference on Multimedia

Reference 29

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RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences In: Practical Strategies and Case Studies for Online Marketing 6.0, pp

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RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences Data Mining and Knowledge Discovery (2023)

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RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences Industrial Marketing Management107, 134–147 (2022)

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This paper cites IEEE Internet of Things Journal (2024).

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences IEEE Internet of Things Journal (2024)

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RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences Unresolved cited work

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This paper cites Computers & Operations Re- search34(10), 2902–2917 (2007).

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences Computers & Operations Re- search34(10), 2902–2917 (2007)

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This paper cites Ilr Review71(3), 705–732 (2018).

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences Ilr Review71(3), 705–732 (2018)

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RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences Greenhaven Publishing LLC (2020) Title Suppressed Due to Excessive Length 15

Reference 38

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This paper cites Neural computation 9(8), 1735–1780 (1997).

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences Neural computation 9(8), 1735–1780 (1997)

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RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences Expert Systems with Applications39(1), 1414–1425 (2012)

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RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences Computers & Electrical Engineering38(6), 1808–1819 (2012)

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RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences Unresolved cited work

Reference 42

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This paper cites Statistical Analysis and Data Mining: The ASA Data Science Journal13(3), 245–260 (2020).

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences Statistical Analysis and Data Mining: The ASA Data Science Journal13(3), 245–260 (2020)

Reference 43

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This paper cites International Journal of Research in All Subjects in Multi Languages13(1), 153 (2025).

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences International Journal of Research in All Subjects in Multi Languages13(1), 153 (2025)

Reference 44

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This paper cites Scientific Reports13(1), 17294 (2023).

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences Scientific Reports13(1), 17294 (2023)

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This paper cites Journal of Systems and Information Technology19(1/2), 65–93 (2017).

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences Journal of Systems and Information Technology19(1/2), 65–93 (2017)

Reference 46

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This paper cites IEEE Transactions on Artificial Intelligence (2025).

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences IEEE Transactions on Artificial Intelligence (2025)

Reference 47

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RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences Turkish Online Journal of Qualita- tive Inquiry12(3) (2021)

Reference 48

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This paper cites Advances in Neural Information Processing Systems36, 49187–49204 (2023).

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences Advances in Neural Information Processing Systems36, 49187–49204 (2023)

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This paper cites Applied Intelligence (2024).

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences Applied Intelligence (2024)

Reference 50

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This paper cites Journal of Organizational and End User Computing (JOEUC)36(1), 1–23 (2024).

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences Journal of Organizational and End User Computing (JOEUC)36(1), 1–23 (2024)

Reference 51

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This paper cites IEEE transactions on information theory28(2), 129–137 (1982).

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences IEEE transactions on information theory28(2), 129–137 (1982)

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This paper cites Production and Operations Management30(6), 1927–1943 (2021).

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences Production and Operations Management30(6), 1927–1943 (2021)

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:33:29.052613Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 3aa77834-9a45-4072-9971-bcc04f8e96bc · outbound

This paper cites Advances in Neural Information Processing Systems30(2017).

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences Advances in Neural Information Processing Systems30(2017)

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:33:28.947719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 66518eab-809c-4ae7-93ee-e90315e0c0e0 · outbound

This paper cites Journal of Theoretical and Applied Electronic Commerce Research17(1), 165–198 (2022).

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences Journal of Theoretical and Applied Electronic Commerce Research17(1), 165–198 (2022)

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:33:28.935200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 12454ac9-33fc-41a2-b5a7-95717d33ae35 · outbound

This paper cites Annals of Operations Research339(1), 765–787 (2024).

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences Annals of Operations Research339(1), 765–787 (2024)

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:33:28.923773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation d48d23e3-5887-4561-b737-607d535143f3 · outbound

This paper cites Mixed Precision Training.

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences Mixed Precision Training

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-15T19:33:24.830536Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5816a777-ee49-4398-923a-26be2a9f695e · outbound

This paper cites Physical review letters89(1), 015002 (2002) 16 S.

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences Physical review letters89(1), 015002 (2002) 16 S

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:33:28.913117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a64b62eb-24b9-49fa-8131-11ac1a875f4d · outbound

This paper cites International Journal of Developing and Emerging Economies8(1), 1–16 (2020).

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences International Journal of Developing and Emerging Economies8(1), 1–16 (2020)

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:33:28.902725Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 93724e2b-7bae-4fdf-b0b4-8e91bc1955e3 · outbound

This paper cites an unresolved cited work.

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences Unresolved cited work

Reference 60

Resolution: unresolved; raw_fallback, observed 2026-08-15T19:33:28.863606Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 3b16b8bd-6ae4-41e0-b0dd-8154cd818b14 · outbound

This paper cites https://github.com/uploadcare/pillow-simd (2018).

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences https://github.com/uploadcare/pillow-simd (2018)

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:33:28.709238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 7cd485cb-9ee1-42f3-a42d-1b639bd345de · outbound

This paper cites Journal of service research9(2), 95–112 (2006).

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences Journal of service research9(2), 95–112 (2006)

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:33:28.696425Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 5f497a06-ab06-4a38-a306-1762c07e09b5 · outbound

This paper cites an unresolved cited work.

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences Unresolved cited work

Reference 63

Resolution: unresolved; raw_fallback, observed 2026-08-15T19:33:28.685386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation ab8f6997-7667-4f05-88b0-afc7273a0d88 · outbound

This paper cites an unresolved cited work.

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences Unresolved cited work

Reference 64

Resolution: unresolved; raw_fallback, observed 2026-08-15T19:33:28.570354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation ac1a14c5-a7c4-43d8-8d90-9ebf4cda0cce · outbound

This paper cites Com- puters & Industrial Engineering193, 110318 (2024).

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences Com- puters & Industrial Engineering193, 110318 (2024)

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:33:28.559687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 8de9b4ab-7e8d-42bc-b966-2fa04c7ffc32 · outbound

This paper cites Journal of Current Science and Technology13(1), 136–161 (2023).

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences Journal of Current Science and Technology13(1), 136–161 (2023)

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:33:28.496567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation e4bb6973-0ab5-465c-bf06-b59171fe7af1 · outbound

This paper cites In: The International Conference on Artificial Intel- ligence and Computer Vision.

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences In: The International Conference on Artificial Intel- ligence and Computer Vision

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:33:28.436583Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 6f0ae268-c5e3-4849-b416-ba3befad3073 · outbound

This paper cites Harvard business review68(5), 105–111 (1990).

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences Harvard business review68(5), 105–111 (1990)

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:33:28.424920Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a86bc8f3-4a93-4f5b-a034-d4ca51a105ca · outbound

This paper cites IEEE transactions on visualization and computer graphics 23(1), 241–250 (2016).

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences IEEE transactions on visualization and computer graphics 23(1), 241–250 (2016)

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:33:28.413190Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 3fad8af7-c367-4af1-8b65-bd8a71ecf0c9 · outbound

This paper cites In: CVPR (2018).

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences In: CVPR (2018)

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:33:28.353430Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation fa1ccea2-1f0c-49ec-8ff8-41fd5b5a2377 · outbound

This paper cites IEEE International Conference on Computer Vision pp.

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences IEEE International Conference on Computer Vision pp

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:33:28.298612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation b2fcf367-33bb-4045-8995-3ac25c75f033 · outbound

This paper cites arXiv preprint arXiv:2501.18875 (2025).

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences arXiv preprint arXiv:2501.18875 (2025)

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-15T19:33:25.267234Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d322b3ee-dc96-476d-b31d-04088940142b · outbound

This paper cites Big Data and Cognitive Computing9(4), 84 (2025).

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences Big Data and Cognitive Computing9(4), 84 (2025)

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:33:28.285778Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 47a91635-2f19-4512-b004-909113e896d5 · outbound

This paper cites European Advanced AI Journal11(8) (2022).

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences European Advanced AI Journal11(8) (2022)

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:33:28.195487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation f11ad815-2b9f-4f04-994d-a2750711fa85 · outbound

This paper cites Predicting purchasing intent: Automatic Feature Learning using Recurrent Neural Networks.

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences Predicting purchasing intent: Automatic Feature Learning using Recurrent Neural Networks

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-15T19:33:25.278538Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 02b4f91f-70ab-4694-a333-544dc5e24cb7 · outbound

This paper cites Journal of Industrial Economics (2022) Title Suppressed Due to Excessive Length 17.

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences Journal of Industrial Economics (2022) Title Suppressed Due to Excessive Length 17

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:33:28.181682Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 03329095-dd7d-45a4-8691-9de24fa2b779 · outbound

This paper cites Discrete Dynamics in Nature and Society2022(1), 5134356 (2022).

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences Discrete Dynamics in Nature and Society2022(1), 5134356 (2022)

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:33:28.085522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 6ca66d61-f336-4aaa-81f6-b75c43fc675f · outbound

This paper cites In: International conference on machine learning.

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences In: International conference on machine learning

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:33:28.011430Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 5eeef6f1-a1a3-4a0c-bac2-1bcd8e2ad46d · outbound

This paper cites Information Systems Research35(3), 1216–1234 (2024).

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences Information Systems Research35(3), 1216–1234 (2024)

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:33:27.976123Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 62948cd3-2e12-4391-b69a-5ceb00008d22 · outbound

This paper cites In: 2017 International Joint Conference on Neural Networks (IJCNN).

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences In: 2017 International Joint Conference on Neural Networks (IJCNN)

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:33:27.925628Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 9685ff27-62d5-4fa3-a97b-5eda2ffbc084 · outbound

This paper cites Advances in Neural Information Processing Systems35, 38204–38217 (2022).

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences Advances in Neural Information Processing Systems35, 38204–38217 (2022)

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:33:27.858700Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 5cea69c9-40e2-4105-9bcb-87e5886ab147 · outbound

This paper cites University of Antwerp (2019).

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences University of Antwerp (2019)

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:33:27.792120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a1b9f212-34b4-48c7-bb64-e209f2f55777 · outbound

This paper cites IEEE access 6, 1155–1166 (2017).

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences IEEE access 6, 1155–1166 (2017)

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:33:27.718385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 5896807c-c2a7-4360-ac8d-47cc34ad4e36 · outbound

This paper cites Simulation Modelling Practice and Theory55, 1–9 (2015).

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences Simulation Modelling Practice and Theory55, 1–9 (2015)

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:33:27.606880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation f709b981-6b64-4fae-824d-b68b492abf27 · outbound

This paper cites Advances in Neural Information Processing Systems30(2017).

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences Advances in Neural Information Processing Systems30(2017)

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:33:27.508132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 521f53bd-e0d8-4a6c-98e4-8160a75a59fc · outbound

This paper cites IEEE transactions on knowledge and data engineering25(5), 961–973 (2012).

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences IEEE transactions on knowledge and data engineering25(5), 961–973 (2012)

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:33:27.357172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 39e50b73-0665-451e-a9c7-828a92fe8069 · outbound

This paper cites Expert Systems with Applications248, 123352 (2024).

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences Expert Systems with Applications248, 123352 (2024)

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:33:27.284164Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 554a4717-ed5c-4d72-aa4a-63208e46c5ac · outbound

This paper cites Manufacturing & Service Operations Management (2025).

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences Manufacturing & Service Operations Management (2025)

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:33:27.272654Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 154bd1d8-1e3b-4c8d-ac3f-1e900cc71734 · outbound

This paper cites Imaging Time-Series to Improve Classification and Imputation.

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences Imaging Time-Series to Improve Classification and Imputation

Reference 89

Resolution: unresolved; no resolver link, observed 2026-08-15T19:33:25.563597Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5b8a5673-5149-451b-8ad6-28ff96f38209 · outbound

This paper cites ACM Transactions on Knowledge Discovery from Data (2020).

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences ACM Transactions on Knowledge Discovery from Data (2020)

Reference 90

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:33:27.169096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a7ccf67b-71c0-4e66-b019-a59f25ec7946 · outbound

This paper cites Science China Information Sciences 63, 1–21 (2020).

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences Science China Information Sciences 63, 1–21 (2020)

Reference 91

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:33:27.156792Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 3cee789c-6b94-4700-92f8-a00e65d07ef2 · outbound

This paper cites RF-LighGBM: A probabilistic ensemble way to predict customer repurchase behaviour in community e-commerce.

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences RF-LighGBM: A probabilistic ensemble way to predict customer repurchase behaviour in community e-commerce

Reference 92

Resolution: metadata mismatch; local_arxiv, observed 2026-08-15T19:33:26.116711Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation f7902dbd-12c7-433a-83f3-224c723daf47 · outbound

This paper cites IEEE Access (2022).

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences IEEE Access (2022)

Reference 93

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:33:27.088907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation e68037cd-10dc-4df2-9446-2bad4538d681 · outbound

This paper cites In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition.

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition

Reference 94

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:33:26.928814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation bca1fba7-ecb9-4e5d-8eac-8455d87d5377 · outbound

This paper cites In: Proceedings of the IEEE conference on computer vision and pattern recognition.

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences In: Proceedings of the IEEE conference on computer vision and pattern recognition

Reference 95

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:33:26.865426Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 5394e5ce-9c07-408b-8b7c-d9769630f4c2 · outbound

This paper cites Master’s thesis, University of Missouri-Columbia (2023).

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences Master’s thesis, University of Missouri-Columbia (2023)

Reference 96

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:33:26.788267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 48958f75-1826-4263-b290-57e8248a6f44 · outbound

This paper cites IEEE transactions on Big Data6(1), 3–28 (2018).

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences IEEE transactions on Big Data6(1), 3–28 (2018)

Reference 97

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:33:26.671460Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation ff2bfbd5-3cbd-48fb-9f4b-e697bcc034aa · outbound

This paper cites Expert Systems with Applications (2023).

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences Expert Systems with Applications (2023)

Reference 98

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:33:26.592363Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 25dc7fd2-0733-49fb-82de-204a1f1b5d0a · outbound

This paper cites AI Open (2022).

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences AI Open (2022)

Reference 99

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:33:26.579099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation f10885a9-fadd-4226-8d42-056158321e49 · outbound

This paper cites an unresolved cited work.

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences Unresolved cited work

Reference 100

Resolution: unresolved; raw_fallback, observed 2026-08-15T19:33:26.483270Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers