From Data to Decision: A Multi-Stage Framework for Class Imbalance Mitigation in Optical Network Failure Analysis | Paper Citation Record

Observation b65b9e02-861e-4880-b8d8-f51e00966e1f · outbound

This paper cites Heterogeneous transmis- sion of analog radio and digital coherent signals over multispan metro and pon for bandwidth-efficient fronthaul in mmwave centralized rans,.

From Data to Decision: A Multi-Stage Framework for Class Imbalance Mitigation in Optical Network Failure Analysis Heterogeneous transmis- sion of analog radio and digital coherent signals over multispan metro and pon for bandwidth-efficient fronthaul in mmwave centralized rans,

Reference 1

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Observation 77c1f9f4-0e43-4d7e-a9d0-3a8a04d88562 · outbound

This paper cites Pca-assisted clustering approaches for soft-failure detection in optical networks,.

From Data to Decision: A Multi-Stage Framework for Class Imbalance Mitigation in Optical Network Failure Analysis Pca-assisted clustering approaches for soft-failure detection in optical networks,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:48:09.977690Z

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Observation 62b80fa8-a5fe-4ffc-9a88-db8f26b912b7 · outbound

This paper cites A review of machine learning-based failure management in optical networks,.

From Data to Decision: A Multi-Stage Framework for Class Imbalance Mitigation in Optical Network Failure Analysis A review of machine learning-based failure management in optical networks,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:48:09.963619Z

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Observation 845ebc03-1024-4447-8c75-e1f7eb917da3 · outbound

This paper cites Failure management in optical net- works with ML: a tutorial on applications, challenges, and pitfalls,.

From Data to Decision: A Multi-Stage Framework for Class Imbalance Mitigation in Optical Network Failure Analysis Failure management in optical net- works with ML: a tutorial on applications, challenges, and pitfalls,

Reference 4

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Observation 3cc842d2-0944-433a-9363-b05c563645cd · outbound

This paper cites Failure management overview in optical networks,.

From Data to Decision: A Multi-Stage Framework for Class Imbalance Mitigation in Optical Network Failure Analysis Failure management overview in optical networks,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:48:09.935622Z

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Observation b8cad831-c9a1-4401-8211-45e48bf62343 · outbound

This paper cites Alarmgpt: an intelligent alarm analyzer for optical networks using a generative pre-trained transformer,.

From Data to Decision: A Multi-Stage Framework for Class Imbalance Mitigation in Optical Network Failure Analysis Alarmgpt: an intelligent alarm analyzer for optical networks using a generative pre-trained transformer,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:48:09.917409Z

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Observation c27e5052-dbef-4448-95c2-e62176f94569 · outbound

This paper cites A tutorial on machine learning for failure management in optical networks,.

From Data to Decision: A Multi-Stage Framework for Class Imbalance Mitigation in Optical Network Failure Analysis A tutorial on machine learning for failure management in optical networks,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:48:09.903042Z

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Observation 5a4798ee-2160-48f6-9c48-a7db42b74883 · outbound

This paper cites Datasets for qot estimation in SDM networks,.

From Data to Decision: A Multi-Stage Framework for Class Imbalance Mitigation in Optical Network Failure Analysis Datasets for qot estimation in SDM networks,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:48:09.888232Z

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Observation 749714c5-678c-49f0-892a-5561014d542c · outbound

This paper cites Open-source data for qot estimation in optical networks from Alibaba,.

From Data to Decision: A Multi-Stage Framework for Class Imbalance Mitigation in Optical Network Failure Analysis Open-source data for qot estimation in optical networks from Alibaba,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:48:09.874456Z

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Observation c2f26b9c-5387-4e94-ac75-c98ea01a7ec3 · outbound

This paper cites Experimental dataset for developing and testing ML models in optical communication systems,.

From Data to Decision: A Multi-Stage Framework for Class Imbalance Mitigation in Optical Network Failure Analysis Experimental dataset for developing and testing ML models in optical communication systems,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:48:09.857574Z

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Observation 10c90534-d231-4602-8025-88db79ad5cbb · outbound

This paper cites ML-assisted qot estimation: a dataset collection and data visualization for dataset quality evaluation,.

From Data to Decision: A Multi-Stage Framework for Class Imbalance Mitigation in Optical Network Failure Analysis ML-assisted qot estimation: a dataset collection and data visualization for dataset quality evaluation,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:48:09.840876Z

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Observation b9f62ef0-e837-4108-ad1d-c76ca7eac169 · outbound

This paper cites Addressing data scarcity in ML- based failure-cause identification in optical networks through generative models,.

From Data to Decision: A Multi-Stage Framework for Class Imbalance Mitigation in Optical Network Failure Analysis Addressing data scarcity in ML- based failure-cause identification in optical networks through generative models,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:48:09.826246Z

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Observation b3b18f30-5d6d-4040-bf96-b45f1e09b22d · outbound

This paper cites Data augmentation to improve performance of neural networks for failure management in optical networks,.

From Data to Decision: A Multi-Stage Framework for Class Imbalance Mitigation in Optical Network Failure Analysis Data augmentation to improve performance of neural networks for failure management in optical networks,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:48:09.810100Z

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Observation 46363c73-9bb7-4f92-9e4a-2516f1aecfbf · outbound

This paper cites A GAN based soft failure detection and identification framework for long- haul coherent optical communication systems,.

From Data to Decision: A Multi-Stage Framework for Class Imbalance Mitigation in Optical Network Failure Analysis A GAN based soft failure detection and identification framework for long- haul coherent optical communication systems,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:48:09.795972Z

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Observation 2a8b9d30-dd69-4a58-84ed-3f95e70246d3 · outbound

This paper cites Data augmentation to reduce computational complexity of neural- network-based soft-failure cause identifier,.

From Data to Decision: A Multi-Stage Framework for Class Imbalance Mitigation in Optical Network Failure Analysis Data augmentation to reduce computational complexity of neural- network-based soft-failure cause identifier,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:48:09.782688Z

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Observation eddbc218-8ea7-4c7e-ad64-6ae7a35a56a0 · outbound

This paper cites The potential of data augmentation for failure management in opti- cal networks,.

From Data to Decision: A Multi-Stage Framework for Class Imbalance Mitigation in Optical Network Failure Analysis The potential of data augmentation for failure management in opti- cal networks,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:48:09.768906Z

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Observation bd3f6d3c-b0a8-44d2-82c2-d98692c410be · outbound

This paper cites Monitoring data augmentation of spectral information using VAE and GAN for soft-failure identification,.

From Data to Decision: A Multi-Stage Framework for Class Imbalance Mitigation in Optical Network Failure Analysis Monitoring data augmentation of spectral information using VAE and GAN for soft-failure identification,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:48:09.755486Z

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Observation edc2c6d1-3ae1-492e-8ca9-42b680175687 · outbound

This paper cites Failure data augmentation for optical network equipment using time-series gen- erative adversarial networks,.

From Data to Decision: A Multi-Stage Framework for Class Imbalance Mitigation in Optical Network Failure Analysis Failure data augmentation for optical network equipment using time-series gen- erative adversarial networks,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:48:09.741655Z

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Observation 9bee3ee5-f2a3-4249-ad5a-fddfeb2b6d77 · outbound

This paper cites Application of ML al- gorithms for prediction of the QoT in optical networks with imbal- anced and incomplete data,.

From Data to Decision: A Multi-Stage Framework for Class Imbalance Mitigation in Optical Network Failure Analysis Application of ML al- gorithms for prediction of the QoT in optical networks with imbal- anced and incomplete data,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:48:09.727933Z

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Observation d62ff93c-ad64-4c25-aeba-2dd752ee2662 · outbound

This paper cites A Stacking En- semble ML-Based Failure Prediction Model for Optical Networks with Imbalanced Data,.

From Data to Decision: A Multi-Stage Framework for Class Imbalance Mitigation in Optical Network Failure Analysis A Stacking En- semble ML-Based Failure Prediction Model for Optical Networks with Imbalanced Data,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:48:09.714298Z

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Observation 504cd098-3b8b-4c9b-8487-7bf00adc1769 · outbound

This paper cites Model and data-centric machine learning algorithms to address data scarcity for failure identification,.

From Data to Decision: A Multi-Stage Framework for Class Imbalance Mitigation in Optical Network Failure Analysis Model and data-centric machine learning algorithms to address data scarcity for failure identification,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:48:09.700750Z

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Observation 393c4839-5961-4366-b431-42b1804082af · outbound

This paper cites Shap-assisted ee-lightgbm model for explainable fault diagnosis in practical optical networks,.

From Data to Decision: A Multi-Stage Framework for Class Imbalance Mitigation in Optical Network Failure Analysis Shap-assisted ee-lightgbm model for explainable fault diagnosis in practical optical networks,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:48:09.687210Z

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Observation 0477928f-a0f7-4e92-8f15-5860db22c65f · outbound

This paper cites Survey on machine learning biases and mitigation techniques,.

From Data to Decision: A Multi-Stage Framework for Class Imbalance Mitigation in Optical Network Failure Analysis Survey on machine learning biases and mitigation techniques,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:48:09.673482Z

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Observation 4a920f2a-2365-4cd4-a3c6-f9e98affd1d0 · outbound

This paper cites Bias mitiga- tion for machine learning classifiers: A comprehensive survey,.

From Data to Decision: A Multi-Stage Framework for Class Imbalance Mitigation in Optical Network Failure Analysis Bias mitiga- tion for machine learning classifiers: A comprehensive survey,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:48:09.660144Z

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Observation cfc05fab-a685-4c95-b747-8f2c0b07bfba · outbound

This paper cites Rwo-sampling: A random walk over-sampling approach to imbalanced data classification,.

From Data to Decision: A Multi-Stage Framework for Class Imbalance Mitigation in Optical Network Failure Analysis Rwo-sampling: A random walk over-sampling approach to imbalanced data classification,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:48:09.646444Z

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Observation c6459be8-bbc2-499b-9ebb-af512df2486b · outbound

This paper cites Smote: synthetic minority over-sampling technique,.

From Data to Decision: A Multi-Stage Framework for Class Imbalance Mitigation in Optical Network Failure Analysis Smote: synthetic minority over-sampling technique,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:48:09.632714Z

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Observation b4e33e9a-f746-48cf-9181-e3ad260055c7 · outbound

This paper cites K-nearest neighbour classifiers-a tutorial,.

From Data to Decision: A Multi-Stage Framework for Class Imbalance Mitigation in Optical Network Failure Analysis K-nearest neighbour classifiers-a tutorial,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:48:09.617659Z

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Observation 0f32f7c0-448e-4c1d-b9af-d572a0fcbc0a · outbound

This paper cites Adasyn: Adaptive synthetic sampling approach for imbalanced learning,.

From Data to Decision: A Multi-Stage Framework for Class Imbalance Mitigation in Optical Network Failure Analysis Adasyn: Adaptive synthetic sampling approach for imbalanced learning,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:48:09.602850Z

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Observation 4753badc-d5fe-4cff-95d0-cee170aff22a · outbound

This paper cites The effects of random undersampling with simulated class imbalance for big data,.

From Data to Decision: A Multi-Stage Framework for Class Imbalance Mitigation in Optical Network Failure Analysis The effects of random undersampling with simulated class imbalance for big data,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:48:09.588942Z

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Observation d55dcdbf-48e0-4b74-95ca-80c400aa9f8c · outbound

This paper cites Clustering-based undersampling in class-imbalanced data,.

From Data to Decision: A Multi-Stage Framework for Class Imbalance Mitigation in Optical Network Failure Analysis Clustering-based undersampling in class-imbalanced data,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:48:09.575378Z

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Observation 18176e2b-1f62-4f0f-8d46-99fd81dd2c00 · outbound

This paper cites Unsupervised k-means clustering algo- rithm,.

From Data to Decision: A Multi-Stage Framework for Class Imbalance Mitigation in Optical Network Failure Analysis Unsupervised k-means clustering algo- rithm,

Reference 31

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Observation f93629dd-71ba-47ed-b67f-a508cef73838 · outbound

This paper cites A study of the behavior of several methods for balancing machine learning training data,.

From Data to Decision: A Multi-Stage Framework for Class Imbalance Mitigation in Optical Network Failure Analysis A study of the behavior of several methods for balancing machine learning training data,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:48:09.548737Z

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Observation b94a0687-4e61-4b2e-8991-c402288b734e · outbound

This paper cites Two modifications of CNN,.

From Data to Decision: A Multi-Stage Framework for Class Imbalance Mitigation in Optical Network Failure Analysis Two modifications of CNN,

Reference 33

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Observation ba60aafe-d38d-49bd-936f-3be5142709d5 · outbound

This paper cites Generative adversarial nets,.

From Data to Decision: A Multi-Stage Framework for Class Imbalance Mitigation in Optical Network Failure Analysis Generative adversarial nets,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:48:09.521752Z

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Observation 1f685d06-d5b4-487f-aaf4-d92e881eb4a9 · outbound

This paper cites Generative adversarial networks (GANs) chal- lenges, solutions, and future directions,.

From Data to Decision: A Multi-Stage Framework for Class Imbalance Mitigation in Optical Network Failure Analysis Generative adversarial networks (GANs) chal- lenges, solutions, and future directions,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:48:09.508572Z

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Observation 921756de-522c-40d3-a4c4-60d45b71a7b4 · outbound

This paper cites Modeling Tabular data using Conditional GAN.

From Data to Decision: A Multi-Stage Framework for Class Imbalance Mitigation in Optical Network Failure Analysis Modeling Tabular data using Conditional GAN

Reference 36

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This paper cites Wasserstein generative ad- versarial networks,.

From Data to Decision: A Multi-Stage Framework for Class Imbalance Mitigation in Optical Network Failure Analysis Wasserstein generative ad- versarial networks,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:48:09.494816Z

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Observation 46600cfe-4c3e-4438-98c7-7f124aaa7239 · outbound

This paper cites Auto-encoding variational bayes,.

From Data to Decision: A Multi-Stage Framework for Class Imbalance Mitigation in Optical Network Failure Analysis Auto-encoding variational bayes,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:48:09.471385Z

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Observation 00a2132b-2011-43a9-8fcb-236499454f9f · outbound

This paper cites Tutorial on Variational Autoencoders.

From Data to Decision: A Multi-Stage Framework for Class Imbalance Mitigation in Optical Network Failure Analysis Tutorial on Variational Autoencoders

Reference 39

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Observation 04e6c399-a0f9-4dfe-905b-6afff8a0e656 · outbound

This paper cites Class weighting technique to deal with imbalanced class problem in machine learning: Methodological re- search,.

From Data to Decision: A Multi-Stage Framework for Class Imbalance Mitigation in Optical Network Failure Analysis Class weighting technique to deal with imbalanced class problem in machine learning: Methodological re- search,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:48:09.457188Z

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Observation 5397e07d-55a9-4a4a-81cb-ca3202bc454c · outbound

This paper cites Focal loss for dense object detection,.

From Data to Decision: A Multi-Stage Framework for Class Imbalance Mitigation in Optical Network Failure Analysis Focal loss for dense object detection,

Reference 41

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Observation 612a51d0-1be8-495c-a2fe-4c5838392655 · outbound

This paper cites Ensemble learning: A survey,.

From Data to Decision: A Multi-Stage Framework for Class Imbalance Mitigation in Optical Network Failure Analysis Ensemble learning: A survey,

Reference 42

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Observation 1d7857a3-2e75-4975-9309-5b19d35c8f58 · outbound

This paper cites Exploratory undersampling for class- imbalance learning,.

From Data to Decision: A Multi-Stage Framework for Class Imbalance Mitigation in Optical Network Failure Analysis Exploratory undersampling for class- imbalance learning,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:48:09.415535Z

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Observation f9aca525-1475-41cd-be23-c11137328b70 · outbound

This paper cites an unresolved cited work.

From Data to Decision: A Multi-Stage Framework for Class Imbalance Mitigation in Optical Network Failure Analysis Unresolved cited work

Reference 44

Resolution: unresolved; raw_fallback, observed 2026-08-05T16:48:09.402007Z

Source-reported events for the cited work

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Observation f2a933c8-d8ef-44e2-95bc-d568cd809b85 · outbound

This paper cites Advances and challenges in meta-learning: A technical review,.

From Data to Decision: A Multi-Stage Framework for Class Imbalance Mitigation in Optical Network Failure Analysis Advances and challenges in meta-learning: A technical review,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:48:09.387530Z

Source-reported events for the cited work

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Observation 7cd41b97-3acc-4921-89b2-b100ae7c56aa · outbound

This paper cites Finding the best classification threshold in imbalanced classification,.

From Data to Decision: A Multi-Stage Framework for Class Imbalance Mitigation in Optical Network Failure Analysis Finding the best classification threshold in imbalanced classification,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:48:09.372963Z

Source-reported events for the cited work

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Observation f7bb14e0-34c3-4b4b-911d-ce3cef14fcb9 · outbound

This paper cites Cost-sensitive learning for imbalanced medical data: a review,.

From Data to Decision: A Multi-Stage Framework for Class Imbalance Mitigation in Optical Network Failure Analysis Cost-sensitive learning for imbalanced medical data: a review,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:48:09.358321Z

Source-reported events for the cited work

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Observation 4196e7cc-8fdf-480c-a0f5-a2ff48675dde · outbound

This paper cites Calibration of probabil- ities: The state of the art,.

From Data to Decision: A Multi-Stage Framework for Class Imbalance Mitigation in Optical Network Failure Analysis Calibration of probabil- ities: The state of the art,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:48:09.343587Z

Source-reported events for the cited work

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Observation 567b9867-4701-4220-b4b9-b515b81831c3 · outbound

This paper cites Probabilistic outputs for support vector machines and compar- isons to regularized likelihood methods,.

From Data to Decision: A Multi-Stage Framework for Class Imbalance Mitigation in Optical Network Failure Analysis Probabilistic outputs for support vector machines and compar- isons to regularized likelihood methods,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:48:09.329995Z

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This paper cites Transforming classifier scores into accurate multiclass probability estimates,.

From Data to Decision: A Multi-Stage Framework for Class Imbalance Mitigation in Optical Network Failure Analysis Transforming classifier scores into accurate multiclass probability estimates,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:48:09.315030Z

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This paper cites Predicting good probabilities with supervised learning,.

From Data to Decision: A Multi-Stage Framework for Class Imbalance Mitigation in Optical Network Failure Analysis Predicting good probabilities with supervised learning,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:48:09.299282Z

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This paper cites Learning long-and short-term temporal patterns for ML-driven fault management in optical communication networks,.

From Data to Decision: A Multi-Stage Framework for Class Imbalance Mitigation in Optical Network Failure Analysis Learning long-and short-term temporal patterns for ML-driven fault management in optical communication networks,

Reference 52

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Observation 4b18e9d1-504f-4480-9aaf-e4625c133351 · outbound

This paper cites Principal component analysis: a review and recent developments,.

From Data to Decision: A Multi-Stage Framework for Class Imbalance Mitigation in Optical Network Failure Analysis Principal component analysis: a review and recent developments,

Reference 53

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Observation 13f7629b-c4c2-4648-8edd-0a238f0f3987 · outbound

This paper cites Adaptive feature selection through fisher discriminant ratio,.

From Data to Decision: A Multi-Stage Framework for Class Imbalance Mitigation in Optical Network Failure Analysis Adaptive feature selection through fisher discriminant ratio,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:48:09.254588Z

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Observation 4bc2cf47-f41f-45a6-bf1b-a642b7a06a5b · outbound

This paper cites Scikit-learn: Machine learning in python,.

From Data to Decision: A Multi-Stage Framework for Class Imbalance Mitigation in Optical Network Failure Analysis Scikit-learn: Machine learning in python,

Reference 55

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