Double-Coupling Learning for Multi-Task Data Stream Classification | Paper Citation Record

Observation c2bda1cb-cda3-4431-b446-b0acdeb333c5 · outbound

This paper cites Multitask learning,.

Double-Coupling Learning for Multi-Task Data Stream Classification Multitask learning,

Reference 1

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Observation 47c4a9f3-9613-4dfa-9536-dd9a0b3f21c3 · outbound

This paper cites A model of inductive bias learning ,.

Double-Coupling Learning for Multi-Task Data Stream Classification A model of inductive bias learning ,

Reference 2

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Observation 5263bd3d-d578-49d1-a8d0-ffb073e61e88 · outbound

This paper cites Regularized multi-task learning,.

Double-Coupling Learning for Multi-Task Data Stream Classification Regularized multi-task learning,

Reference 3

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Observation 8b72a24d-0d33-4725-99b3-756b2135e994 · outbound

This paper cites Visual classification with multi -task joint sparse representation ,.

Double-Coupling Learning for Multi-Task Data Stream Classification Visual classification with multi -task joint sparse representation ,

Reference 4

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Observation 01c3b92c-e428-4e8a-9a1d-99060149a0fb · outbound

This paper cites Large margin multi -task metric learning ,.

Double-Coupling Learning for Multi-Task Data Stream Classification Large margin multi -task metric learning ,

Reference 5

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Observation 36c34f28-8d69-40a5-852a-f2c121b00ba3 · outbound

This paper cites Multi-task clustering via domain adaptation,.

Double-Coupling Learning for Multi-Task Data Stream Classification Multi-task clustering via domain adaptation,

Reference 6

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Observation dee31be0-2a4c-4d96-8c20-f35e6ea62145 · outbound

This paper cites Multi-task co-clustering via nonnegative matrix factorization,.

Double-Coupling Learning for Multi-Task Data Stream Classification Multi-task co-clustering via nonnegative matrix factorization,

Reference 7

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Observation 5c41e861-5771-419c-8b1b-c9b19bc34a9e · outbound

This paper cites A multi-task learning strategy for unsupervised clustering via explicitly separating the commonality ,.

Double-Coupling Learning for Multi-Task Data Stream Classification A multi-task learning strategy for unsupervised clustering via explicitly separating the commonality ,

Reference 8

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Observation ad2ba6a6-d43f-4408-9f3a-3073950d70aa · outbound

This paper cites A new sparse multi -task regression and feature selection method to identify brain imaging predictors for memory performance,.

Double-Coupling Learning for Multi-Task Data Stream Classification A new sparse multi -task regression and feature selection method to identify brain imaging predictors for memory performance,

Reference 9

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Observation ff03ceb0-4737-40f0-a752-1136fbfce025 · outbound

This paper cites Multi-task regression using minimal penalties,.

Double-Coupling Learning for Multi-Task Data Stream Classification Multi-task regression using minimal penalties,

Reference 10

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Observation d9e8714d-c02a-400a-baa5-21e50447d163 · outbound

This paper cites Tracking drifting concepts by minimizing disagreements,.

Double-Coupling Learning for Multi-Task Data Stream Classification Tracking drifting concepts by minimizing disagreements,

Reference 11

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Observation 6ba6d6f8-f7a4-47ea-b5d1-b004efae3028 · outbound

This paper cites Learning changing concepts by exploiting the structure of change,.

Double-Coupling Learning for Multi-Task Data Stream Classification Learning changing concepts by exploiting the structure of change,

Reference 12

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Observation 9337cad8-dc4d-46b4-9617-91234a5714fa · outbound

This paper cites Learning with a slowly changing distribution,.

Double-Coupling Learning for Multi-Task Data Stream Classification Learning with a slowly changing distribution,

Reference 13

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Observation 803e9b0a-1396-418b-9539-9a60a9e4098d · outbound

This paper cites Learning in the presence of concept drift and hidden contexts,.

Double-Coupling Learning for Multi-Task Data Stream Classification Learning in the presence of concept drift and hidden contexts,

Reference 14

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Observation 9168fc14-910b-4660-b178-6865d942289d · outbound

This paper cites Just-in-time adaptive classifiers-part II: Designing the classifier,.

Double-Coupling Learning for Multi-Task Data Stream Classification Just-in-time adaptive classifiers-part II: Designing the classifier,

Reference 15

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Observation 9ff9f00a-7e2d-4340-b58b-cddfe55fbefd · outbound

This paper cites Detecting concept drift with support vector m achines,.

Double-Coupling Learning for Multi-Task Data Stream Classification Detecting concept drift with support vector m achines,

Reference 16

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Observation 1d18f1b2-9502-4139-b7a1-733d5f6ee034 · outbound

This paper cites Adaptive information filtering: Learning in the presence of concept drifts,.

Double-Coupling Learning for Multi-Task Data Stream Classification Adaptive information filtering: Learning in the presence of concept drifts,

Reference 17

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Observation 9929f15c-c2c8-4237-8808-a8c66f307bd3 · outbound

This paper cites Enhancing test classification to improve information filtering,.

Double-Coupling Learning for Multi-Task Data Stream Classification Enhancing test classification to improve information filtering,

Reference 18

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Observation 23e82f48-1b91-4853-acfa-ab493e147dfb · outbound

This paper cites Solving Nonstationary Classification Problems with Coupled Support Vector Machines,.

Double-Coupling Learning for Multi-Task Data Stream Classification Solving Nonstationary Classification Problems with Coupled Support Vector Machines,

Reference 19

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Observation eee2b998-e3e1-46ae-b4b0-88926fa5cc09 · outbound

This paper cites An Improved TA -SVM Method Without Matrix Inversion and Its Fast Implementation for Non-stationary Datasets,.

Double-Coupling Learning for Multi-Task Data Stream Classification An Improved TA -SVM Method Without Matrix Inversion and Its Fast Implementation for Non-stationary Datasets,

Reference 20

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Observation 0ea6ad10-9a0f-4540-b447-3eec5b92eb6e · outbound

This paper cites Chemical gas sensor drift compensation using classifier ensembles,.

Double-Coupling Learning for Multi-Task Data Stream Classification Chemical gas sensor drift compensation using classifier ensembles,

Reference 21

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Observation 56b358dc-404c-479c-96ec-91f9eed11c34 · outbound

This paper cites An integrated machine learning and control theoretic model for mining concept-drifting data streams,.

Double-Coupling Learning for Multi-Task Data Stream Classification An integrated machine learning and control theoretic model for mining concept-drifting data streams,

Reference 22

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Observation 1ecd05c6-8ab1-4c4e-9748-a3c3ff5f275d · outbound

This paper cites MOA concept drift active learning strategies for streaming data,.

Double-Coupling Learning for Multi-Task Data Stream Classification MOA concept drift active learning strategies for streaming data,

Reference 23

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Observation e3761118-c73f-43a4-b44c-91e8b8ed1ce0 · outbound

This paper cites Incremental learning of concept drift in nonstationary environments,.

Double-Coupling Learning for Multi-Task Data Stream Classification Incremental learning of concept drift in nonstationary environments,

Reference 24

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Observation 5b88d914-cba4-416c-972f-5dc13112eeda · outbound

This paper cites Just in time classifiers: Managing the slow drift case,.

Double-Coupling Learning for Multi-Task Data Stream Classification Just in time classifiers: Managing the slow drift case,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:19:44.412578Z

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Observation f8689919-0077-4996-9efe-97dd881bbbb6 · outbound

This paper cites On the complexity of learning from drifting distributions,.

Double-Coupling Learning for Multi-Task Data Stream Classification On the complexity of learning from drifting distributions,

Reference 26

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Observation 209a9550-2412-4e4f-b221-9a4a474e0633 · outbound

This paper cites Learning under persistent drift,.

Double-Coupling Learning for Multi-Task Data Stream Classification Learning under persistent drift,

Reference 27

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Observation 8e1fd68f-82fa-4d3a-a8f1-61787cb2b322 · outbound

This paper cites Tolerating concept and sampling shift in lazy learning using prediction error conte xt switching,.

Double-Coupling Learning for Multi-Task Data Stream Classification Tolerating concept and sampling shift in lazy learning using prediction error conte xt switching,

Reference 28

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Observation b71edb23-5ad3-4c78-8d1a-4525432c806d · outbound

This paper cites A streaming ensemble algorithm (SEA) for large-scale classification,.

Double-Coupling Learning for Multi-Task Data Stream Classification A streaming ensemble algorithm (SEA) for large-scale classification,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:19:44.334265Z

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Observation 3179b2c3-6f2d-4ed4-a9d3-c028bb81bf23 · outbound

This paper cites Paired learners for concept drift,.

Double-Coupling Learning for Multi-Task Data Stream Classification Paired learners for concept drift,

Reference 30

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Observation 955f088f-3eda-4c95-986d-d88b11adbf77 · outbound

This paper cites Just-in-time adaptive classifiers—Part I: Detect ing nonstationary changes,.

Double-Coupling Learning for Multi-Task Data Stream Classification Just-in-time adaptive classifiers—Part I: Detect ing nonstationary changes,

Reference 31

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Observation 88104751-93ac-4a56-b32d-692c17081fcc · outbound

This paper cites Experience with a learning personal assistant,.

Double-Coupling Learning for Multi-Task Data Stream Classification Experience with a learning personal assistant,

Reference 32

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Observation 02cc8dce-637b-4fdb-9c99-853365aa593a · outbound

This paper cites Anomaly detection model based on data stream clustering,.

Double-Coupling Learning for Multi-Task Data Stream Classification Anomaly detection model based on data stream clustering,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:19:44.266245Z

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Observation e4e3e547-60f6-433a-a0a3-fcc53693ffcc · outbound

This paper cites Improving data partition schemes in Smart Grids via clustering data streams,.

Double-Coupling Learning for Multi-Task Data Stream Classification Improving data partition schemes in Smart Grids via clustering data streams,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:19:44.248641Z

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Observation 4fc4c502-53f1-4d60-9bcc-01db3c4b7ec3 · outbound

This paper cites Clustering High -Dimensional Data Stream: A Survey on Subspace Clustering, Projected Clustering on Bioinformatics Applications,.

Double-Coupling Learning for Multi-Task Data Stream Classification Clustering High -Dimensional Data Stream: A Survey on Subspace Clustering, Projected Clustering on Bioinformatics Applications,

Reference 35

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Observation a8a2d1b0-a7c3-42cc-b4de-c50af80c7d60 · outbound

This paper cites An optimal and stable feature selection approach for traffic classification based on multi-criterion fusion,.

Double-Coupling Learning for Multi-Task Data Stream Classification An optimal and stable feature selection approach for traffic classification based on multi-criterion fusion,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:19:44.213393Z

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Observation 7e350216-6193-4151-ae7a-b20896fa59aa · outbound

This paper cites A class-oriented feature selection approach for multi -class imbalanced network traffic datasets based on local and global metrics fusion,.

Double-Coupling Learning for Multi-Task Data Stream Classification A class-oriented feature selection approach for multi -class imbalanced network traffic datasets based on local and global metrics fusion,

Reference 37

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Observation f14c98be-31be-4623-81cf-947aa19d4784 · outbound

This paper cites COMPOSE: a semisupervised learning framework for initially labeled nonstationary streaming data,.

Double-Coupling Learning for Multi-Task Data Stream Classification COMPOSE: a semisupervised learning framework for initially labeled nonstationary streaming data,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:19:44.176399Z

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Observation 4a590c97-dd94-4f40-aff1-6a04d5af8e88 · outbound

This paper cites An ensemble of cluster -based classifiers for semi-supervised classification of non-stationary data streams,.

Double-Coupling Learning for Multi-Task Data Stream Classification An ensemble of cluster -based classifiers for semi-supervised classification of non-stationary data streams,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:19:44.157094Z

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Observation c276b21a-00fe-49bf-a3fc-dd42e50ab141 · outbound

This paper cites Mining textual stream with partial labeled instances using ensemble framework,.

Double-Coupling Learning for Multi-Task Data Stream Classification Mining textual stream with partial labeled instances using ensemble framework,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:19:44.135801Z

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Observation 30a461de-687b-4523-95d8-41f9f2e276ab · outbound

This paper cites Deep learning in partially -labeled data streams,.

Double-Coupling Learning for Multi-Task Data Stream Classification Deep learning in partially -labeled data streams,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:19:44.117889Z

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Observation e97c8b8c-99ee-42e1-921f-cc48f075da8a · outbound

This paper cites Adaptation to drifting concepts,.

Double-Coupling Learning for Multi-Task Data Stream Classification Adaptation to drifting concepts,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:19:44.100326Z

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Observation f58de451-4aa8-4b11-936a-ef92ceb316c1 · outbound

This paper cites Learning drifting concepts: Example selection versus example weighting,.

Double-Coupling Learning for Multi-Task Data Stream Classification Learning drifting concepts: Example selection versus example weighting,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:19:44.082920Z

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Observation 1c62cbb0-362a-4bb2-ac68-0c008b1beec1 · outbound

This paper cites Estimating the generalization performance of a SVM efficiently,.

Double-Coupling Learning for Multi-Task Data Stream Classification Estimating the generalization performance of a SVM efficiently,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:19:44.063646Z

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Observation 6829c316-1209-4b22-9465-aac92e105061 · outbound

This paper cites Dynamic weighted majority: An ensemble method for drifting concepts,.

Double-Coupling Learning for Multi-Task Data Stream Classification Dynamic weighted majority: An ensemble method for drifting concepts,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:19:44.042577Z

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Observation 7c0ed67b-de43-4a44-a9c6-ffa67e3ac916 · outbound

This paper cites Core vector machines: Fast SVM training on very large data sets,.

Double-Coupling Learning for Multi-Task Data Stream Classification Core vector machines: Fast SVM training on very large data sets,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:19:44.021867Z

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Observation 33429b51-ff5e-4f45-abc9-4fe797a79a42 · outbound

This paper cites an unresolved cited work.

Double-Coupling Learning for Multi-Task Data Stream Classification Unresolved cited work

Reference 47

Resolution: unresolved; raw_fallback, observed 2026-08-14T13:19:44.005157Z

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Observation c468fcc6-8122-4586-a5ec-3434abaaf400 · outbound

This paper cites an unresolved cited work.

Double-Coupling Learning for Multi-Task Data Stream Classification Unresolved cited work

Reference 48

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Observation 6ded9ded-ccc9-407b-b50a-1c840449cbee · outbound

This paper cites On field calibration of an electronic nose for benzene estimation in an urban pollution monitoring scenario.

Double-Coupling Learning for Multi-Task Data Stream Classification On field calibration of an electronic nose for benzene estimation in an urban pollution monitoring scenario

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:19:43.970531Z

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