Dusty stellar sources classification by implementing machine learning methods based on spectroscopic observations in the Magellanic Clouds | Paper Citation Record

Observation 9c91c869-6dd7-4f86-8bf1-0315d5834b89 · outbound

This paper cites ! K g\ T V 2_ GJ!k -k.

Dusty stellar sources classification by implementing machine learning methods based on spectroscopic observations in the Magellanic Clouds ! K g\ T V 2_ GJ!k -k

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Observation e064b78b-20d2-4a5c-9e20-9b538f70fb0b · outbound

This paper cites Hierarchical Classification of Variable Stars Using Deep Convolutional Neural Networks.

Dusty stellar sources classification by implementing machine learning methods based on spectroscopic observations in the Magellanic Clouds Hierarchical Classification of Variable Stars Using Deep Convolutional Neural Networks

Reference 2

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This paper cites J., Simon , J.

Dusty stellar sources classification by implementing machine learning methods based on spectroscopic observations in the Magellanic Clouds J., Simon , J

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Dusty stellar sources classification by implementing machine learning methods based on spectroscopic observations in the Magellanic Clouds HTTP Mailbox - Asynchronous RESTful Communication

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This paper cites B., Teitei, E., & Adda, M.

Dusty stellar sources classification by implementing machine learning methods based on spectroscopic observations in the Magellanic Clouds B., Teitei, E., & Adda, M

Reference 5

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This paper cites M., & Brunner , R.

Dusty stellar sources classification by implementing machine learning methods based on spectroscopic observations in the Magellanic Clouds M., & Brunner , R

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This paper cites Machine Learning in Astronomy: a practical overview.

Dusty stellar sources classification by implementing machine learning methods based on spectroscopic observations in the Magellanic Clouds Machine Learning in Astronomy: a practical overview

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This paper cites 2017, , 465, 4530, 10.1093/mnras/stw3021.

Dusty stellar sources classification by implementing machine learning methods based on spectroscopic observations in the Magellanic Clouds 2017, , 465, 4530, 10.1093/mnras/stw3021

Reference 8

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This paper cites M., Macri , L.

Dusty stellar sources classification by implementing machine learning methods based on spectroscopic observations in the Magellanic Clouds M., Macri , L

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This paper cites D., Mould , J.

Dusty stellar sources classification by implementing machine learning methods based on spectroscopic observations in the Magellanic Clouds D., Mould , J

Reference 10

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This paper cites L., McDonald , I., Srinivasan , S., et al.

Dusty stellar sources classification by implementing machine learning methods based on spectroscopic observations in the Magellanic Clouds L., McDonald , I., Srinivasan , S., et al

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This paper cites L., Srinivasan , S., van Loon , J.

Dusty stellar sources classification by implementing machine learning methods based on spectroscopic observations in the Magellanic Clouds L., Srinivasan , S., van Loon , J

Reference 12

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This paper cites 2001, Machine Learning, 45, 5, 10.1023/A:1010933404324.

Dusty stellar sources classification by implementing machine learning methods based on spectroscopic observations in the Magellanic Clouds 2001, Machine Learning, 45, 5, 10.1023/A:1010933404324

Reference 13

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This paper cites J., & Andonie , R.

Dusty stellar sources classification by implementing machine learning methods based on spectroscopic observations in the Magellanic Clouds J., & Andonie , R

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Dusty stellar sources classification by implementing machine learning methods based on spectroscopic observations in the Magellanic Clouds Unresolved cited work

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This paper cites W., & Ostlie, D.

Dusty stellar sources classification by implementing machine learning methods based on spectroscopic observations in the Magellanic Clouds W., & Ostlie, D

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This paper cites SMOTE: Synthetic Minority Over-sampling Technique.

Dusty stellar sources classification by implementing machine learning methods based on spectroscopic observations in the Magellanic Clouds SMOTE: Synthetic Minority Over-sampling Technique

Reference 17

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This paper cites 2024, Open Research Europe, 4, 10.12688/openreseurope.17023.1.

Dusty stellar sources classification by implementing machine learning methods based on spectroscopic observations in the Magellanic Clouds 2024, Open Research Europe, 4, 10.12688/openreseurope.17023.1

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This paper cites 2021, , 647, A116, 10.1051/0004-6361/202038516.

Dusty stellar sources classification by implementing machine learning methods based on spectroscopic observations in the Magellanic Clouds 2021, , 647, A116, 10.1051/0004-6361/202038516

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This paper cites Applications of AI in Astronomy.

Dusty stellar sources classification by implementing machine learning methods based on spectroscopic observations in the Magellanic Clouds Applications of AI in Astronomy

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This paper cites Z., Davenport , J.

Dusty stellar sources classification by implementing machine learning methods based on spectroscopic observations in the Magellanic Clouds Z., Davenport , J

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This paper cites G., Hora , J.

Dusty stellar sources classification by implementing machine learning methods based on spectroscopic observations in the Magellanic Clouds G., Hora , J

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This paper cites 2024, Astronomy and Computing, 48, 100851, 10.1016/j.ascom.2024.100851.

Dusty stellar sources classification by implementing machine learning methods based on spectroscopic observations in the Magellanic Clouds 2024, Astronomy and Computing, 48, 100851, 10.1016/j.ascom.2024.100851

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This paper cites 2024, Communications of the Byurakan Astrophysical Observatory, 71, 377, 10.52526/25792776-24.71.2-377.

Dusty stellar sources classification by implementing machine learning methods based on spectroscopic observations in the Magellanic Clouds 2024, Communications of the Byurakan Astrophysical Observatory, 71, 377, 10.52526/25792776-24.71.2-377

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Observation be9ce566-6f13-4611-8179-bd2d5350900c · outbound

This paper cites Spectral identification and classification of dusty stellar sources using spectroscopic and multiwavelength observations through machine learning.

Dusty stellar sources classification by implementing machine learning methods based on spectroscopic observations in the Magellanic Clouds Spectral identification and classification of dusty stellar sources using spectroscopic and multiwavelength observations through machine learning

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This paper cites R., van Loon , J.

Dusty stellar sources classification by implementing machine learning methods based on spectroscopic observations in the Magellanic Clouds R., van Loon , J

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Dusty stellar sources classification by implementing machine learning methods based on spectroscopic observations in the Magellanic Clouds D., Meixner , M., Meade , M

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Dusty stellar sources classification by implementing machine learning methods based on spectroscopic observations in the Magellanic Clouds Metrics for Multi-Class Classification: an Overview

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This paper cites A., & Chu , Y.-H.

Dusty stellar sources classification by implementing machine learning methods based on spectroscopic observations in the Magellanic Clouds A., & Chu , Y.-H

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Dusty stellar sources classification by implementing machine learning methods based on spectroscopic observations in the Magellanic Clouds 2009, The Elements of Statistical Learning: Data Mining, Inference, and Prediction (Springer)

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Dusty stellar sources classification by implementing machine learning methods based on spectroscopic observations in the Magellanic Clouds PnG BERT: Augmented BERT on Phonemes and Graphemes for Neural TTS

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This paper cites 2018, , 26, 1, 10.1007/s00159-017-0106-5.

Dusty stellar sources classification by implementing machine learning methods based on spectroscopic observations in the Magellanic Clouds 2018, , 26, 1, 10.1007/s00159-017-0106-5

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Dusty stellar sources classification by implementing machine learning methods based on spectroscopic observations in the Magellanic Clouds M., et al

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Dusty stellar sources classification by implementing machine learning methods based on spectroscopic observations in the Magellanic Clouds 2020, , 493, 6050, 10.1093/mnras/staa642

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Dusty stellar sources classification by implementing machine learning methods based on spectroscopic observations in the Magellanic Clouds R., Roellig , T

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Dusty stellar sources classification by implementing machine learning methods based on spectroscopic observations in the Magellanic Clouds J., VanderPlas , J

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Dusty stellar sources classification by implementing machine learning methods based on spectroscopic observations in the Magellanic Clouds Unresolved cited work

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Dusty stellar sources classification by implementing machine learning methods based on spectroscopic observations in the Magellanic Clouds T., Khosroshahi , H., & Mirtorabi , M

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Dusty stellar sources classification by implementing machine learning methods based on spectroscopic observations in the Magellanic Clouds 2011 b , , 414, 3394, 10.1111/j.1365-2966.2011.18638.x

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Dusty stellar sources classification by implementing machine learning methods based on spectroscopic observations in the Magellanic Clouds 2023, Nature Astronomy, 7, 1, 10.1038/s41550-023-01945-7

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Dusty stellar sources classification by implementing machine learning methods based on spectroscopic observations in the Magellanic Clouds C., Meixner , M., Justtanont , K., & Glasse , A

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Dusty stellar sources classification by implementing machine learning methods based on spectroscopic observations in the Magellanic Clouds C., Woods , P

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Dusty stellar sources classification by implementing machine learning methods based on spectroscopic observations in the Magellanic Clouds 2017 c , VizieR Online Data Catalog, J/MNRAS/470/3250

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Dusty stellar sources classification by implementing machine learning methods based on spectroscopic observations in the Magellanic Clouds 2020, Journal of Astrophysics and Astronomy, 41, 42, 10.1007/s12036-020-09665-4

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Dusty stellar sources classification by implementing machine learning methods based on spectroscopic observations in the Magellanic Clouds R., & Van Winckel , H

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Dusty stellar sources classification by implementing machine learning methods based on spectroscopic observations in the Magellanic Clouds 2015, , 454, 1468, 10.1093/mnras/stv1202

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Dusty stellar sources classification by implementing machine learning methods based on spectroscopic observations in the Magellanic Clouds I., & Lattanzio , J

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Dusty stellar sources classification by implementing machine learning methods based on spectroscopic observations in the Magellanic Clouds M., Antoniou , V., et al

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Dusty stellar sources classification by implementing machine learning methods based on spectroscopic observations in the Magellanic Clouds A., Oliveira , J

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Dusty stellar sources classification by implementing machine learning methods based on spectroscopic observations in the Magellanic Clouds 2022, , 517, 140, 10.1093/mnras/stac2692

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Dusty stellar sources classification by implementing machine learning methods based on spectroscopic observations in the Magellanic Clouds 2023, , 953, 104, 10.3847/1538-4357/ace10e

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Dusty stellar sources classification by implementing machine learning methods based on spectroscopic observations in the Magellanic Clouds 2016, , 591, A54, 10.1051/0004-6361/201628660

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Dusty stellar sources classification by implementing machine learning methods based on spectroscopic observations in the Magellanic Clouds Oversampling for Imbalanced Learning Based on K-Means and SMOTE

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Dusty stellar sources classification by implementing machine learning methods based on spectroscopic observations in the Magellanic Clouds Machine Learning in Stellar Astronomy: Progress up to 2024

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This paper cites A Debiased MDI Feature Importance Measure for Random Forests.

Dusty stellar sources classification by implementing machine learning methods based on spectroscopic observations in the Magellanic Clouds A Debiased MDI Feature Importance Measure for Random Forests

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Resolution: unresolved; no resolver link, observed 2026-08-16T11:56:16.149852Z

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Observation 972973dc-3b41-4a91-85bb-d01a9fc5e430 · outbound

This paper cites Handling Inter-class and Intra-class Imbalance in Class-imbalanced Learning.

Dusty stellar sources classification by implementing machine learning methods based on spectroscopic observations in the Magellanic Clouds Handling Inter-class and Intra-class Imbalance in Class-imbalanced Learning

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Resolution: unresolved; no resolver link, observed 2026-08-16T11:56:16.153294Z

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Observation 988859f9-c13c-439b-b366-55eee5b1e230 · outbound

This paper cites K., McLean , I.

Dusty stellar sources classification by implementing machine learning methods based on spectroscopic observations in the Magellanic Clouds K., McLean , I

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Resolution: verified exact; doi, observed 2026-08-16T11:56:16.673282Z

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Observation 1bfc394b-56df-4089-bdce-ed732e15a8e2 · outbound

This paper cites Z., Tramper , F., et al.

Dusty stellar sources classification by implementing machine learning methods based on spectroscopic observations in the Magellanic Clouds Z., Tramper , F., et al

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Resolution: unresolved; no resolver link, observed 2026-08-16T11:56:16.159483Z

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Observation a44be7fb-a310-4063-a23b-24ff5e9a6691 · outbound

This paper cites an unresolved cited work.

Dusty stellar sources classification by implementing machine learning methods based on spectroscopic observations in the Magellanic Clouds Unresolved cited work

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-16T11:56:16.162114Z

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Observation a7e50809-4c25-4a8c-b519-b39477e0a9f7 · outbound

This paper cites an unresolved cited work.

Dusty stellar sources classification by implementing machine learning methods based on spectroscopic observations in the Magellanic Clouds Unresolved cited work

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-16T11:56:16.164780Z

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Observation 90c21ef7-8adc-436e-9576-0dbb73085b64 · outbound

This paper cites A., & Boyer , M.

Dusty stellar sources classification by implementing machine learning methods based on spectroscopic observations in the Magellanic Clouds A., & Boyer , M

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-16T11:56:16.167802Z

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Observation c8556115-c0f5-41b1-9942-452f43886545 · outbound

This paper cites A., Cox , N.

Dusty stellar sources classification by implementing machine learning methods based on spectroscopic observations in the Magellanic Clouds A., Cox , N

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-16T11:56:16.170460Z

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Observation 953257dc-4351-4c3b-8fba-57e63aad864f · outbound

This paper cites A., & Watson , R.

Dusty stellar sources classification by implementing machine learning methods based on spectroscopic observations in the Magellanic Clouds A., & Watson , R

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-16T11:56:16.173235Z

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Observation bed5554a-266c-4a76-bd6c-a22df9cc42db · outbound

This paper cites D., Indebetouw , R., et al.

Dusty stellar sources classification by implementing machine learning methods based on spectroscopic observations in the Magellanic Clouds D., Indebetouw , R., et al

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Resolution: unresolved; no resolver link, observed 2026-08-16T11:56:16.176043Z

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Observation 2b328082-92bb-4dbb-869f-c93a56fb3380 · outbound

This paper cites 2018, , 363, 197, 10.1007/s10509-018-3418-7.

Dusty stellar sources classification by implementing machine learning methods based on spectroscopic observations in the Magellanic Clouds 2018, , 363, 197, 10.1007/s10509-018-3418-7

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Resolution: verified exact; doi, observed 2026-08-16T11:56:16.626733Z

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Observation 80a2fed8-43f9-4970-be17-95478296684f · outbound

This paper cites an unresolved cited work.

Dusty stellar sources classification by implementing machine learning methods based on spectroscopic observations in the Magellanic Clouds Unresolved cited work

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-16T11:56:16.184854Z

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Observation fe9ed91c-a86f-4ac2-b96d-e2003e1e44c3 · outbound

This paper cites M., van Loon , J.

Dusty stellar sources classification by implementing machine learning methods based on spectroscopic observations in the Magellanic Clouds M., van Loon , J

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Resolution: unresolved; no resolver link, observed 2026-08-16T11:56:16.187610Z

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Observation a680329c-d0e8-44c9-a2f0-d008d04feda6 · outbound

This paper cites N., Sokolovsky , K.

Dusty stellar sources classification by implementing machine learning methods based on spectroscopic observations in the Magellanic Clouds N., Sokolovsky , K

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Resolution: verified exact; doi, observed 2026-08-16T11:56:16.609306Z

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Observation 755654a9-36bc-4a69-a973-167125d10b6f · outbound

This paper cites 2011, Journal of Machine Learning Research, 12, 2825.

Dusty stellar sources classification by implementing machine learning methods based on spectroscopic observations in the Magellanic Clouds 2011, Journal of Machine Learning Research, 12, 2825

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Resolution: unresolved; no resolver link, observed 2026-08-16T11:56:16.193301Z

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Observation 2048f914-a5d8-4124-8a24-66383525fc24 · outbound

This paper cites M., van Loon , J.

Dusty stellar sources classification by implementing machine learning methods based on spectroscopic observations in the Magellanic Clouds M., van Loon , J

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Resolution: unresolved; no resolver link, observed 2026-08-16T11:56:16.196342Z

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Observation 48f2c370-8ab0-4d7e-b120-9078330a07ec · outbound

This paper cites M., van Loon , J.

Dusty stellar sources classification by implementing machine learning methods based on spectroscopic observations in the Magellanic Clouds M., van Loon , J

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Resolution: verified exact; doi, observed 2026-08-16T11:56:16.592589Z

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Observation 2c49d297-251c-4c7e-ba26-8fdc1b0c176b · outbound

This paper cites 2013, , 495, 76, 10.1038/nature11878.

Dusty stellar sources classification by implementing machine learning methods based on spectroscopic observations in the Magellanic Clouds 2013, , 495, 76, 10.1038/nature11878

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Resolution: unresolved; no resolver link, observed 2026-08-16T11:56:16.202118Z

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Observation 5b6af98a-e3b2-4493-ad67-00541f2663ad · outbound

This paper cites L., Riedinger , J.

Dusty stellar sources classification by implementing machine learning methods based on spectroscopic observations in the Magellanic Clouds L., Riedinger , J

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Resolution: unresolved; no resolver link, observed 2026-08-16T11:56:16.205238Z

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Observation 6894a6b9-3534-48ab-a6c5-f521628e446e · outbound

This paper cites 2019, , 157, 16, 10.3847/1538-3881/aaf101.

Dusty stellar sources classification by implementing machine learning methods based on spectroscopic observations in the Magellanic Clouds 2019, , 157, 16, 10.3847/1538-3881/aaf101

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Resolution: unresolved; no resolver link, observed 2026-08-16T11:56:16.208292Z

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Observation ac71fb5f-843d-423a-99f9-ca1b654e8d19 · outbound

This paper cites 2010, , 723, 1195, 10.1088/0004-637X/723/2/1195.

Dusty stellar sources classification by implementing machine learning methods based on spectroscopic observations in the Magellanic Clouds 2010, , 723, 1195, 10.1088/0004-637X/723/2/1195

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-16T11:56:16.211575Z

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Observation d47503fd-d1d8-46d0-a68b-0b68e05a25b3 · outbound

This paper cites 2012, , 753, 71, 10.1088/0004-637X/753/1/71.

Dusty stellar sources classification by implementing machine learning methods based on spectroscopic observations in the Magellanic Clouds 2012, , 753, 71, 10.1088/0004-637X/753/1/71

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-16T11:56:16.214610Z

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Observation 5326532b-5d39-412e-86e3-ad7a11b9d31f · outbound

This paper cites H., Young , E.

Dusty stellar sources classification by implementing machine learning methods based on spectroscopic observations in the Magellanic Clouds H., Young , E

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-16T11:56:16.217835Z

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Observation 27bcd981-cd96-450e-9536-dc544009928c · outbound

This paper cites 2005, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews), 35, 476.

Dusty stellar sources classification by implementing machine learning methods based on spectroscopic observations in the Magellanic Clouds 2005, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews), 35, 476

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-16T11:56:16.220804Z

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Observation 667d23ca-287b-4969-9fc0-7fbe7d86236b · outbound

This paper cites an unresolved cited work.

Dusty stellar sources classification by implementing machine learning methods based on spectroscopic observations in the Magellanic Clouds Unresolved cited work

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-16T11:56:16.223996Z

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Observation d4e549f5-53a3-4444-887f-e319d5e3f695 · outbound

This paper cites an unresolved cited work.

Dusty stellar sources classification by implementing machine learning methods based on spectroscopic observations in the Magellanic Clouds Unresolved cited work

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-16T11:56:16.227339Z

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Observation 60052acf-424a-458e-a564-f86a431b3b26 · outbound

This paper cites C., & Dopita , M.

Dusty stellar sources classification by implementing machine learning methods based on spectroscopic observations in the Magellanic Clouds C., & Dopita , M

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-16T11:56:16.230838Z

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Observation e3364c1a-2936-41fa-95de-67e1f5865be1 · outbound

This paper cites B., & Lightman , A.

Dusty stellar sources classification by implementing machine learning methods based on spectroscopic observations in the Magellanic Clouds B., & Lightman , A

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-16T11:56:16.233952Z

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Observation 2976fccf-e4e9-4f12-bc7d-c0b96a572a36 · outbound

This paper cites F., & Finkbeiner , D.

Dusty stellar sources classification by implementing machine learning methods based on spectroscopic observations in the Magellanic Clouds F., & Finkbeiner , D

Reference 85

Resolution: unresolved; no resolver link, observed 2026-08-16T11:56:16.237009Z

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Observation a9c90f0c-f3d9-487c-9c97-877e8699f56a · outbound

This paper cites L., Madore , B.

Dusty stellar sources classification by implementing machine learning methods based on spectroscopic observations in the Magellanic Clouds L., Madore , B

Reference 86

Resolution: unresolved; no resolver link, observed 2026-08-16T11:56:16.240345Z

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Observation 359d0110-0cbf-40ea-a4e2-1d2fe58bc2b8 · outbound

This paper cites P., Looney , L.

Dusty stellar sources classification by implementing machine learning methods based on spectroscopic observations in the Magellanic Clouds P., Looney , L

Reference 87

Resolution: unresolved; no resolver link, observed 2026-08-16T11:56:16.243598Z

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Observation c9bf7d2b-1b61-422f-9704-c216c25fc0ed · outbound

This paper cites an unresolved cited work.

Dusty stellar sources classification by implementing machine learning methods based on spectroscopic observations in the Magellanic Clouds Unresolved cited work

Reference 88

Resolution: unresolved; no resolver link, observed 2026-08-16T11:56:16.246760Z

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Observation 99771b3a-4d57-48d0-a9a0-9d9c169a90e6 · outbound

This paper cites R., Seale , J.

Dusty stellar sources classification by implementing machine learning methods based on spectroscopic observations in the Magellanic Clouds R., Seale , J

Reference 89

Resolution: unresolved; no resolver link, observed 2026-08-16T11:56:16.249468Z

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Observation d7cb9cba-f3c7-41a6-bbdb-99a0f5200651 · outbound

This paper cites A., Bolatto , A.

Dusty stellar sources classification by implementing machine learning methods based on spectroscopic observations in the Magellanic Clouds A., Bolatto , A

Reference 90

Resolution: unresolved; no resolver link, observed 2026-08-16T11:56:16.252450Z

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Observation 0fa5a426-8e45-4bd2-a3c6-b17bf99ca856 · outbound

This paper cites J., & Geach , J.

Dusty stellar sources classification by implementing machine learning methods based on spectroscopic observations in the Magellanic Clouds J., & Geach , J

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Resolution: unresolved; no resolver link, observed 2026-08-16T11:56:16.255846Z

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Observation c4b0850d-5df0-4436-b4f1-333688c48b01 · outbound

This paper cites 2009, , 137, 4810, 10.1088/0004-6256/137/6/4810.

Dusty stellar sources classification by implementing machine learning methods based on spectroscopic observations in the Magellanic Clouds 2009, , 137, 4810, 10.1088/0004-6256/137/6/4810

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Resolution: unresolved; no resolver link, observed 2026-08-16T11:56:16.258641Z

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Observation df00e6c3-c444-490b-bf8f-3e57b9539c45 · outbound

This paper cites 2009, , 496, 399, 10.1051/0004-6361/200811029.

Dusty stellar sources classification by implementing machine learning methods based on spectroscopic observations in the Magellanic Clouds 2009, , 496, 399, 10.1051/0004-6361/200811029

Reference 93

Resolution: unresolved; no resolver link, observed 2026-08-16T11:56:16.261582Z

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Observation 74e554c6-dcc0-4c3d-8352-5763281bc74e · outbound

This paper cites 2011, in Astronomical Society of India Conference Series, Vol.

Dusty stellar sources classification by implementing machine learning methods based on spectroscopic observations in the Magellanic Clouds 2011, in Astronomical Society of India Conference Series, Vol

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Resolution: unresolved; no resolver link, observed 2026-08-16T11:56:16.264460Z

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Observation d3e239ee-25dc-48a3-9c4f-ea9d3e3334df · outbound

This paper cites 2016, Journal of Astronomy and Space Sciences, 33, 119, 10.5140/JASS.2016.33.2.119.

Dusty stellar sources classification by implementing machine learning methods based on spectroscopic observations in the Magellanic Clouds 2016, Journal of Astronomy and Space Sciences, 33, 119, 10.5140/JASS.2016.33.2.119

Reference 95

Resolution: verified exact; doi, observed 2026-08-16T11:56:16.476103Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 96cd9269-0fa5-42e0-ab70-ad9fde98a86e · outbound

This paper cites 2020, , 891, 43, 10.3847/1538-4357/ab6609.

Dusty stellar sources classification by implementing machine learning methods based on spectroscopic observations in the Magellanic Clouds 2020, , 891, 43, 10.3847/1538-4357/ab6609

Reference 96

Resolution: verified exact; doi, observed 2026-08-16T11:56:16.464459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2c939f97-99df-450d-aebc-87f5cbd37cf4 · outbound

This paper cites 2021, , 256, 43, 10.3847/1538-4365/ac1274.

Dusty stellar sources classification by implementing machine learning methods based on spectroscopic observations in the Magellanic Clouds 2021, , 256, 43, 10.3847/1538-4365/ac1274

Reference 97

Resolution: unresolved; no resolver link, observed 2026-08-16T11:56:16.273455Z

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Observation 27728b24-b566-43c6-b936-44702305b659 · outbound

This paper cites an unresolved cited work.

Dusty stellar sources classification by implementing machine learning methods based on spectroscopic observations in the Magellanic Clouds Unresolved cited work

Reference 98

Resolution: unresolved; no resolver link, observed 2026-08-16T11:56:16.276564Z

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Observation efa3d67b-aa03-449d-aba3-d73ae809d8c4 · outbound

This paper cites 2003, , 41, 391, 10.1146/annurev.astro.41.071601.170018.

Dusty stellar sources classification by implementing machine learning methods based on spectroscopic observations in the Magellanic Clouds 2003, , 41, 391, 10.1146/annurev.astro.41.071601.170018

Reference 99

Resolution: unresolved; no resolver link, observed 2026-08-16T11:56:16.279916Z

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Observation f1bcbaaf-b742-4bf5-8b83-c14aabcbbfd9 · outbound

This paper cites an unresolved cited work.

Dusty stellar sources classification by implementing machine learning methods based on spectroscopic observations in the Magellanic Clouds Unresolved cited work

Reference 100

Resolution: unresolved; no resolver link, observed 2026-08-16T11:56:16.282815Z

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Observation 05389b5f-1595-4937-b0e7-d8ec37d5d49e · outbound

This paper cites P., Meixner , M., Babler , B., et al.

Dusty stellar sources classification by implementing machine learning methods based on spectroscopic observations in the Magellanic Clouds P., Meixner , M., Babler , B., et al

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Resolution: verified exact; doi, observed 2026-08-16T11:56:16.446726Z

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