273 related articles for article (PubMed ID: 34100609)
1. GHOST: Adjusting the Decision Threshold to Handle Imbalanced Data in Machine Learning.
Esposito C; Landrum GA; Schneider N; Stiefl N; Riniker S
J Chem Inf Model; 2021 Jun; 61(6):2623-2640. PubMed ID: 34100609
[TBL] [Abstract][Full Text] [Related]
2. Structure-activity relationship-based chemical classification of highly imbalanced Tox21 datasets.
Idakwo G; Thangapandian S; Luttrell J; Li Y; Wang N; Zhou Z; Hong H; Yang B; Zhang C; Gong P
J Cheminform; 2020 Oct; 12(1):66. PubMed ID: 33372637
[TBL] [Abstract][Full Text] [Related]
3. Online sequential class-specific extreme learning machine for binary imbalanced learning.
Shukla S; Raghuwanshi BS
Neural Netw; 2019 Nov; 119():235-248. PubMed ID: 31472290
[TBL] [Abstract][Full Text] [Related]
4. Social Reminiscence in Older Adults' Everyday Conversations: Automated Detection Using Natural Language Processing and Machine Learning.
Ferrario A; Demiray B; Yordanova K; Luo M; Martin M
J Med Internet Res; 2020 Sep; 22(9):e19133. PubMed ID: 32866108
[TBL] [Abstract][Full Text] [Related]
5. Comparative Studies on Resampling Techniques in Machine Learning and Deep Learning Models for Drug-Target Interaction Prediction.
Azlim Khan AK; Ahamed Hassain Malim NH
Molecules; 2023 Feb; 28(4):. PubMed ID: 36838652
[TBL] [Abstract][Full Text] [Related]
6. Assessing and mitigating the effects of class imbalance in machine learning with application to X-ray imaging.
Qu W; Balki I; Mendez M; Valen J; Levman J; Tyrrell PN
Int J Comput Assist Radiol Surg; 2020 Dec; 15(12):2041-2048. PubMed ID: 32965624
[TBL] [Abstract][Full Text] [Related]
7. Embedding Undersampling Rotation Forest for Imbalanced Problem.
Guo H; Diao X; Liu H
Comput Intell Neurosci; 2018; 2018():6798042. PubMed ID: 30515200
[TBL] [Abstract][Full Text] [Related]
8. Diabetes mellitus risk prediction in the presence of class imbalance using flexible machine learning methods.
Sadeghi S; Khalili D; Ramezankhani A; Mansournia MA; Parsaeian M
BMC Med Inform Decis Mak; 2022 Feb; 22(1):36. PubMed ID: 35139846
[TBL] [Abstract][Full Text] [Related]
9. Class imbalance should not throw you off balance: Choosing the right classifiers and performance metrics for brain decoding with imbalanced data.
Thölke P; Mantilla-Ramos YJ; Abdelhedi H; Maschke C; Dehgan A; Harel Y; Kemtur A; Mekki Berrada L; Sahraoui M; Young T; Bellemare Pépin A; El Khantour C; Landry M; Pascarella A; Hadid V; Combrisson E; O'Byrne J; Jerbi K
Neuroimage; 2023 Aug; 277():120253. PubMed ID: 37385392
[TBL] [Abstract][Full Text] [Related]
10. Class-imbalanced classifiers for high-dimensional data.
Lin WJ; Chen JJ
Brief Bioinform; 2013 Jan; 14(1):13-26. PubMed ID: 22408190
[TBL] [Abstract][Full Text] [Related]
11. Exploring different strategies for imbalanced ADME data problem: case study on Caco-2 permeability modeling.
Pham-The H; Casañola-Martin G; Garrigues T; Bermejo M; González-Álvarez I; Nguyen-Hai N; Cabrera-Pérez MÁ; Le-Thi-Thu H
Mol Divers; 2016 Feb; 20(1):93-109. PubMed ID: 26643659
[TBL] [Abstract][Full Text] [Related]
12. Comparing the performance of meta-classifiers-a case study on selected imbalanced data sets relevant for prediction of liver toxicity.
Jain S; Kotsampasakou E; Ecker GF
J Comput Aided Mol Des; 2018 May; 32(5):583-590. PubMed ID: 29626291
[TBL] [Abstract][Full Text] [Related]
13. Clinical Decision Support Systems: From the Perspective of Small and Imbalanced Data Set.
Par OE; Akcapinar Sezer E; Sever H
Stud Health Technol Inform; 2019 Jul; 262():344-347. PubMed ID: 31349338
[TBL] [Abstract][Full Text] [Related]
14. Optimal classifier for imbalanced data using Matthews Correlation Coefficient metric.
Boughorbel S; Jarray F; El-Anbari M
PLoS One; 2017; 12(6):e0177678. PubMed ID: 28574989
[TBL] [Abstract][Full Text] [Related]
15. Comparison of Resampling Techniques for Imbalanced Datasets in Machine Learning: Application to Epileptogenic Zone Localization From Interictal Intracranial EEG Recordings in Patients With Focal Epilepsy.
Varotto G; Susi G; Tassi L; Gozzo F; Franceschetti S; Panzica F
Front Neuroinform; 2021; 15():715421. PubMed ID: 34867255
[No Abstract] [Full Text] [Related]
16. Class prediction for high-dimensional class-imbalanced data.
Blagus R; Lusa L
BMC Bioinformatics; 2010 Oct; 11():523. PubMed ID: 20961420
[TBL] [Abstract][Full Text] [Related]
17. Conversion of adverse data corpus to shrewd output using sampling metrics.
Ashraf S; Saleem S; Ahmed T; Aslam Z; Muhammad D
Vis Comput Ind Biomed Art; 2020 Aug; 3(1):19. PubMed ID: 32779031
[TBL] [Abstract][Full Text] [Related]
18. Binary classification of a large collection of environmental chemicals from estrogen receptor assays by quantitative structure-activity relationship and machine learning methods.
Zang Q; Rotroff DM; Judson RS
J Chem Inf Model; 2013 Dec; 53(12):3244-61. PubMed ID: 24279462
[TBL] [Abstract][Full Text] [Related]
19. A Pareto-based Ensemble with Feature and Instance Selection for Learning from Multi-Class Imbalanced Datasets.
Fernández A; Carmona CJ; José Del Jesus M; Herrera F
Int J Neural Syst; 2017 Sep; 27(6):1750028. PubMed ID: 28633551
[TBL] [Abstract][Full Text] [Related]
20. Inverse free reduced universum twin support vector machine for imbalanced data classification.
Moosaei H; Ganaie MA; Hladík M; Tanveer M
Neural Netw; 2023 Jan; 157():125-135. PubMed ID: 36334534
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
