Establishment of M2 macrophage-related prognostic signature in pancreatic ductal adenocarcinoma.
- Published in:
- Discover Oncology, 2025, v. 16, n. 1, p. 1, doi. 10.1007/s12672-025-02838-z
- By:
- Publication type:
- Article
Works matching DE "STATISTICAL learning"
Results: 2502
1
2
Rate-Optimal Rank Aggregation with Private Pairwise Rankings.
- Published in:
- Journal of the American Statistical Association, 2025, v. 120, n. 550, p. 737, doi. 10.1080/01621459.2025.2484843
- By:
- Publication type:
- Article
3
Innovations in Health Anomaly Detection: A Comparative Review of Machine Learning and Statistical Approaches.
- Published in:
- Fusion: Practice & Applications, 2024, v. 19, n. 2, p. 28, doi. 10.54216/FPA.190203
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- Publication type:
- Article
4
Learning the Minimal Representation of a Continuous State-Space Markov Decision Process from Transition Data.
- Published in:
- Management Science, 2025, v. 71, n. 6, p. 5162, doi. 10.1287/mnsc.2022.01652
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- Publication type:
- Article
5
CEPHALOPOD, a package to standardize marine habitat‐modelling practices and enhance inter‐comparability across biological observations.
- Published in:
- Methods in Ecology & Evolution, 2025, v. 16, n. 6, p. 1126, doi. 10.1111/2041-210X.70040
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- Publication type:
- Article
6
Real‐Time Traffic Conflict Prediction at Intersections: A Novel Approach Integrating Statistical Models and Machine Learning.
- Published in:
- Journal of Advanced Transportation, 2025, v. 2025, p. 1, doi. 10.1155/atr/2239983
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- Publication type:
- Article
7
Legal sentence boundary detection using hybrid deep learning and statistical models.
- Published in:
- Artificial Intelligence & Law, 2025, v. 33, n. 2, p. 519, doi. 10.1007/s10506-024-09394-x
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- Publication type:
- Article
8
Statistical and deep learning approaches in estimating present and future global mean sea level rise.
- Published in:
- Natural Hazards, 2025, v. 121, n. 9, p. 10377, doi. 10.1007/s11069-025-07203-5
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- Publication type:
- Article
9
Post‐Shrinkage Strategies in Statistical and Machine Learning for High Dimensional Data.
- Published in:
- Australian & New Zealand Journal of Statistics, 2025, v. 67, n. 1, p. 121, doi. 10.1111/anzs.12432
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- Publication type:
- Article
10
Statistical Context Learning in Visual Search: Distinct Electrophysiological Signatures of Contextual Guidance and Context Suppression.
- Published in:
- Journal of Neuroscience, 2025, v. 45, n. 22, p. 1, doi. 10.1523/JNEUROSCI.2186-24.2025
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- Publication type:
- Article
11
SCALABLE COMPUTING-DRIVEN INNOVATION IN VOCATIONAL EDUCATION USING MACHINE LEARNING AND BIG DATA.
- Published in:
- Scalable Computing: Practice & Experience, 2025, v. 26, n. 4, p. 1607, doi. 10.12694/scpe.v26i4.4448
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- Publication type:
- Article
12
Dynamic Dual-Phase Forecasting Model for New Product Demand Using Machine Learning and Statistical Control.
- Published in:
- Mathematics (2227-7390), 2025, v. 13, n. 10, p. 1613, doi. 10.3390/math13101613
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- Publication type:
- Article
13
Predicting Indirect Tensile Strength of Rejuvenated Asphalt Mixes Using Machine Learning with High Reclaimed Asphalt Pavement Content.
- Published in:
- Processes, 2025, v. 13, n. 5, p. 1489, doi. 10.3390/pr13051489
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- Publication type:
- Article
14
Assessment of Body Morphometry to Classify Two Colombian Creole Pigs Using Statistical and Machine Learning Methods.
- Published in:
- Life (2075-1729), 2025, v. 15, n. 5, p. 693, doi. 10.3390/life15050693
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- Publication type:
- Article
15
Comparative Analysis of Machine Learning Algorithms and Statistical Techniques for Data Analysis in Crop Growth Monitoring with NDVI.
- Published in:
- International Archives of the Photogrammetry, Remote Sensing & Spatial Information Sciences, 2024, v. 48, n. M-5, p. 15, doi. 10.5194/isprs-archives-XLVIII-M-5-2024-15-2025
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- Publication type:
- Article
16
Is there a competitive advantage to using multivariate statistical or machine learning methods over the Bross formula in the hdPS framework for bias and variance estimation?
- Published in:
- PLoS ONE, 2025, v. 20, n. 5, p. 1, doi. 10.1371/journal.pone.0324639
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- Publication type:
- Article
17
MACHINE LEARNING NA PREVENÇÃO DE PERDAS NO E-COMMERCE: O USO DA REGRESSÃO LOGÍSTICA PARA IDENTIFICAÇÃO DE PEDIDOS FRAUDULENTOS.
- Published in:
- Revista Fatec Zona Sul (REFAS), 2025, v. 11, n. 4, p. 1, doi. 10.26853/Refas_ISSN-2359-182X_v11n04_04
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- Publication type:
- Article
18
Convex Geometry and its Applications.
- Published in:
- Oberwolfach Reports, 2024, v. 21, n. 4, p. 3301, doi. 10.4171/OWR/2024/58
- Publication type:
- Article
19
Theoretical guarantees for domain adaptation with hierarchical optimal transport.
- Published in:
- Machine Learning, 2025, v. 114, n. 5, p. 1, doi. 10.1007/s10994-025-06749-6
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- Publication type:
- Article
20
Generalization bounds for learning under graph-dependence: a survey.
- Published in:
- Machine Learning, 2024, v. 113, n. 7, p. 3929, doi. 10.1007/s10994-024-06536-9
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- Publication type:
- Article
21
Utilising energy function and variational inference training for learning a graph neural network architecture.
- Published in:
- Machine Learning, 2024, v. 113, n. 3, p. 1219, doi. 10.1007/s10994-024-06513-2
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- Publication type:
- Article
22
Heterogeneous sets in dimensionality reduction and ensemble learning.
- Published in:
- Machine Learning, 2024, v. 113, n. 4, p. 1683, doi. 10.1007/s10994-022-06254-0
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- Publication type:
- Article
23
Active learning algorithm through the lens of rejection arguments.
- Published in:
- Machine Learning, 2024, v. 113, n. 2, p. 753, doi. 10.1007/s10994-023-06494-8
- By:
- Publication type:
- Article
24
Word embeddings-based transfer learning for boosted relational dependency networks.
- Published in:
- Machine Learning, 2024, v. 113, n. 3, p. 1269, doi. 10.1007/s10994-023-06404-y
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- Publication type:
- Article
25
logicDT: a procedure for identifying response-associated interactions between binary predictors.
- Published in:
- Machine Learning, 2024, v. 113, n. 2, p. 933, doi. 10.1007/s10994-023-06488-6
- By:
- Publication type:
- Article
26
Inverse learning in Hilbert scales.
- Published in:
- Machine Learning, 2023, v. 112, n. 7, p. 2469, doi. 10.1007/s10994-022-06284-8
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- Publication type:
- Article
27
PAC-learning with approximate predictors.
- Published in:
- Machine Learning, 2023, v. 112, n. 5, p. 1693, doi. 10.1007/s10994-023-06301-4
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- Publication type:
- Article
28
Robust federated learning under statistical heterogeneity via hessian-weighted aggregation.
- Published in:
- Machine Learning, 2023, v. 112, n. 2, p. 633, doi. 10.1007/s10994-022-06292-8
- By:
- Publication type:
- Article
29
Limits of multi-relational graphs.
- Published in:
- Machine Learning, 2023, v. 112, n. 1, p. 177, doi. 10.1007/s10994-022-06281-x
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- Publication type:
- Article
30
On the robustness of randomized classifiers to adversarial examples.
- Published in:
- Machine Learning, 2022, v. 111, n. 9, p. 3425, doi. 10.1007/s10994-022-06216-6
- By:
- Publication type:
- Article
31
A review on instance ranking problems in statistical learning.
- Published in:
- Machine Learning, 2022, v. 111, n. 2, p. 415, doi. 10.1007/s10994-021-06122-3
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- Publication type:
- Article
32
A comparison of statistical relational learning and graph neural networks for aggregate graph queries.
- Published in:
- Machine Learning, 2021, v. 110, n. 7, p. 1847, doi. 10.1007/s10994-021-06007-5
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- Publication type:
- Article
33
Guest editors' introduction: special issue on Inductive Logic Programming (ILP 2019).
- Published in:
- 2020
- By:
- Publication type:
- Editorial
34
Transfer learning by mapping and revising boosted relational dependency networks.
- Published in:
- Machine Learning, 2020, v. 109, n. 7, p. 1435, doi. 10.1007/s10994-020-05871-x
- By:
- Publication type:
- Article
35
Efficient learning with robust gradient descent.
- Published in:
- Machine Learning, 2019, v. 108, n. 8/9, p. 1523, doi. 10.1007/s10994-019-05802-5
- By:
- Publication type:
- Article
36
Online probabilistic theory revision from examples with ProPPR.
- Published in:
- Machine Learning, 2019, v. 108, n. 7, p. 1165, doi. 10.1007/s10994-019-05798-y
- By:
- Publication type:
- Article
37
Semi-supervised online structure learning for composite event recognition.
- Published in:
- Machine Learning, 2019, v. 108, n. 7, p. 1085, doi. 10.1007/s10994-019-05794-2
- By:
- Publication type:
- Article
38
Preface to special issue on Inductive Logic Programming, ILP 2017 and 2018.
- Published in:
- Machine Learning, 2019, v. 108, n. 7, p. 1057, doi. 10.1007/s10994-019-05790-6
- By:
- Publication type:
- Article
39
Lifted discriminative learning of probabilistic logic programs.
- Published in:
- Machine Learning, 2019, v. 108, n. 7, p. 1111, doi. 10.1007/s10994-018-5750-0
- By:
- Publication type:
- Article
40
Rethinking statistical learning theory: learning using statistical invariants.
- Published in:
- Machine Learning, 2019, v. 108, n. 3, p. 381, doi. 10.1007/s10994-018-5742-0
- By:
- Publication type:
- Article
41
Experimental Characterization-Based Machine Learning Modeling for the Estimation of Geotechnical Properties of Clay Liners.
- Published in:
- Geotechnical & Geological Engineering, 2023, v. 41, n. 2, p. 1503, doi. 10.1007/s10706-022-02350-z
- By:
- Publication type:
- Article
42
Unsupervised learning in images and audio to produce neural receptive fields: a primer and accessible notebook.
- Published in:
- Artificial Intelligence Review, 2022, v. 55, n. 1, p. 111, doi. 10.1007/s10462-021-10047-7
- By:
- Publication type:
- Article
43
Sex estimation from the greater sciatic notch: a comparison of classical statistical models and machine learning algorithms.
- Published in:
- International Journal of Legal Medicine, 2021, v. 135, n. 6, p. 2603, doi. 10.1007/s00414-021-02700-1
- By:
- Publication type:
- Article
44
Neural correlates of implicit knowledge about statistical regularities.
- Published in:
- Experimental Brain Research, 2017, v. 235, n. 12, p. 3573, doi. 10.1007/s00221-017-5083-4
- By:
- Publication type:
- Article
45
Assessing SDN Controller Vulnerabilities: A Survey on Attack Typologies, Detection Mechanisms, Controller Selection, and Dataset Application in Machine Learning: Assessing SDN Controller Vulnerabilities...: J. Arevalo-Herrera et al.
- Published in:
- 2025
- By:
- Publication type:
- Literature Review
46
The vanishing learning rate asymptotic for linear L<sup>2</sup>-boosting.
- Published in:
- ESAIM: Probability & Statistics, 2024, v. 28, p. 227, doi. 10.1051/ps/2024006
- By:
- Publication type:
- Article
47
Less Annotating, More Classifying: Addressing the Data Scarcity Issue of Supervised Machine Learning with Deep Transfer Learning and BERT-NLI.
- Published in:
- Political Analysis, 2024, v. 32, n. 1, p. 84, doi. 10.1017/pan.2023.20
- By:
- Publication type:
- Article
48
Hierarchically Regularized Entropy Balancing.
- Published in:
- Political Analysis, 2023, v. 31, n. 3, p. 457, doi. 10.1017/pan.2022.12
- By:
- Publication type:
- Article
49
Can nonexperts really emulate statistical learning methods? A comment on "The accuracy, fairness, and limits of predicting recidivism".
- Published in:
- 2019
- By:
- Publication type:
- Letter
50
基于流形邻域保持嵌入分布对齐的轴承故障诊断方法.
- Published in:
- Machine Tool & Hydraulics, 2024, v. 52, n. 24, p. 189, doi. 10.3969/j.issn.1001-3881.2024.24.029
- By:
- Publication type:
- Article