102 related articles for article (PubMed ID: 33691018)
1. Optimization of Genomic Classifiers for Clinical Deployment: Evaluation of Bayesian Optimization to Select Predictive Models of Acute Infection and In-Hospital Mortality.
Mayhew MB; Tran E; Choi K; Midic U; Luethy R; Damaraju N; Buturovic L
Pac Symp Biocomput; 2021; 26():208-219. PubMed ID: 33691018
[TBL] [Abstract][Full Text] [Related]
2. Disease prediction via Bayesian hyperparameter optimization and ensemble learning.
Gao L; Ding Y
BMC Res Notes; 2020 Apr; 13(1):205. PubMed ID: 32276658
[TBL] [Abstract][Full Text] [Related]
3. Robust optimization of SVM hyperparameters in the classification of bioactive compounds.
Czarnecki WM; Podlewska S; Bojarski AJ
J Cheminform; 2015; 7():38. PubMed ID: 26273325
[TBL] [Abstract][Full Text] [Related]
4. Maximum margin Bayesian network classifiers.
Pernkopf F; Wohlmayr M; Tschiatschek S
IEEE Trans Pattern Anal Mach Intell; 2012 Mar; 34(3):521-32. PubMed ID: 21808086
[TBL] [Abstract][Full Text] [Related]
5. Multi-objective evolutionary algorithms for fuzzy classification in survival prediction.
Jiménez F; Sánchez G; Juárez JM
Artif Intell Med; 2014 Mar; 60(3):197-219. PubMed ID: 24525210
[TBL] [Abstract][Full Text] [Related]
6. Machine learning for improved pathological staging of prostate cancer: a performance comparison on a range of classifiers.
Regnier-Coudert O; McCall J; Lothian R; Lam T; McClinton S; N'dow J
Artif Intell Med; 2012 May; 55(1):25-35. PubMed ID: 22206941
[TBL] [Abstract][Full Text] [Related]
7. Automatic Evolution of Machine-Learning-Based Quantum Dynamics with Uncertainty Analysis.
Lin K; Peng J; Xu C; Gu FL; Lan Z
J Chem Theory Comput; 2022 Oct; 18(10):5837-5855. PubMed ID: 36184823
[TBL] [Abstract][Full Text] [Related]
8. A comparison of rule-based and machine learning approaches for classifying patient portal messages.
Cronin RM; Fabbri D; Denny JC; Rosenbloom ST; Jackson GP
Int J Med Inform; 2017 Sep; 105():110-120. PubMed ID: 28750904
[TBL] [Abstract][Full Text] [Related]
9. Ant colony optimization algorithm for interpretable Bayesian classifiers combination: application to medical predictions.
Bouktif S; Hanna EM; Zaki N; Abu Khousa E
PLoS One; 2014; 9(2):e86456. PubMed ID: 24498276
[TBL] [Abstract][Full Text] [Related]
10. Using Bayesian networks in the construction of a bi-level multi-classifier. A case study using intensive care unit patients data.
Sierra B; Serrano N; Larrañaga P; Plasencia EJ; Inza I; Jiménez JJ; Revuelta P; Mora ML
Artif Intell Med; 2001 Jun; 22(3):233-48. PubMed ID: 11377149
[TBL] [Abstract][Full Text] [Related]
11. A tree-like Bayesian structure learning algorithm for small-sample datasets from complex biological model systems.
Yin W; Garimalla S; Moreno A; Galinski MR; Styczynski MP
BMC Syst Biol; 2015 Aug; 9():49. PubMed ID: 26310492
[TBL] [Abstract][Full Text] [Related]
12. Data-driven approaches for identifying hyperparameters in multi-step retrosynthesis.
Westerlund AM; Barge B; Mervin L; Genheden S
Mol Inform; 2023 Nov; 42(11):e202300128. PubMed ID: 37679293
[TBL] [Abstract][Full Text] [Related]
13. Computer-aided diagnosis of lung nodule using gradient tree boosting and Bayesian optimization.
Nishio M; Nishizawa M; Sugiyama O; Kojima R; Yakami M; Kuroda T; Togashi K
PLoS One; 2018; 13(4):e0195875. PubMed ID: 29672639
[TBL] [Abstract][Full Text] [Related]
14. Classifying changes in LN-18 glial cell morphology: a supervised machine learning approach to analyzing cell microscopy data via FIJI and WEKA.
Mbiki S; McClendon J; Alexander-Bryant A; Gilmore J
Med Biol Eng Comput; 2020 Jul; 58(7):1419-1430. PubMed ID: 32314170
[TBL] [Abstract][Full Text] [Related]
15. Reviewing ensemble classification methods in breast cancer.
Hosni M; Abnane I; Idri A; Carrillo de Gea JM; Fernández Alemán JL
Comput Methods Programs Biomed; 2019 Aug; 177():89-112. PubMed ID: 31319964
[TBL] [Abstract][Full Text] [Related]
16. Improving Biochemical Named Entity Recognition Using PSO Classifier Selection and Bayesian Combination Methods.
Akkasi A; Varoglu E
IEEE/ACM Trans Comput Biol Bioinform; 2017; 14(6):1327-1338. PubMed ID: 28113438
[TBL] [Abstract][Full Text] [Related]
17. Machine learning prediction of nanoparticle in vitro toxicity: A comparative study of classifiers and ensemble-classifiers using the Copeland Index.
Furxhi I; Murphy F; Mullins M; Poland CA
Toxicol Lett; 2019 Sep; 312():157-166. PubMed ID: 31102714
[TBL] [Abstract][Full Text] [Related]
18. Bayesian approach to feature selection and parameter tuning for support vector machine classifiers.
Gold C; Holub A; Sollich P
Neural Netw; 2005; 18(5-6):693-701. PubMed ID: 16111861
[TBL] [Abstract][Full Text] [Related]
19. Continuous time Bayesian network classifiers.
Stella F; Amer Y
J Biomed Inform; 2012 Dec; 45(6):1108-19. PubMed ID: 22846170
[TBL] [Abstract][Full Text] [Related]
20. Binary tissue classification on wound images with neural networks and bayesian classifiers.
Veredas F; Mesa H; Morente L
IEEE Trans Med Imaging; 2010 Feb; 29(2):410-27. PubMed ID: 19825516
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]