Reject inference, augmentation, and sample selection

JOURNAL ARTICLE published December 2007 in European Journal of Operational Research

Authors: John Banasik | Jonathan Crook

Lahiri's Method of Selection of Sample Units

OTHER published 27 November 2014 in Wiley StatsRef: Statistics Reference Online

Sample Bias and Reject Inference

BOOK CHAPTER published in Credit Scoring, Response Modeling, and Insurance Rating

Ecs-Sc: Long-Tailed Classification Via Data Augmentation Based on Easily Confused Sample Selection and Combination

POSTED CONTENT published

Authors: He Wenwei | Xu Junyan | Shi Jie | Hong Zhao

Figure 2: Three sample augmentation methods.

COMPONENT published

A Time Series Forecasting Model Selection Framework Using CNN and Data Augmentation for Small Sample Data

POSTED CONTENT published

Authors: Wentao Jiang | Liwen Ling | Dabin Zhang | Ruibin Lin | Liling Zeng

Sample Bias and Reject Inference

BOOK CHAPTER published 2010 in Credit Scoring, Response Modelling and Insurance Rating

Authors: Steven Finlay

Sample Bias and Reject Inference

BOOK CHAPTER published 2012 in Credit Scoring, Response Modeling, and Insurance Rating

Authors: Steven Finlay

Do We Reject Too Often? Small Sample Properties of Tests of Rational Expectations Models

REPORT published October 1985

Authors: N. Gregory Mankiw | Matthew Shapiro

SelectAugment: Hierarchical Deterministic Sample Selection for Data Augmentation

JOURNAL ARTICLE published 26 June 2023 in Proceedings of the AAAI Conference on Artificial Intelligence

Authors: Shiqi Lin | Zhizheng Zhang | Xin Li | Zhibo Chen

Minimum reference set based feature selection for small sample classifications

PROCEEDINGS ARTICLE published 20 June 2007 in Proceedings of the 24th international conference on Machine learning

Authors: Xue-wen Chen | Jong Cheol Jeong

Recovery of iron from an iron-rich reject sample of Carey-Canadian Mines Limited, East Broughton Station, Quebec

REPORT published 1968

Authors: G W Riley

Land selection area 32 (Shungnak-Hughes-Melozitna): Geochemistry, major oxides, sample locations, and reference data

REPORT published 1993

Authors: S. A. Liss | M. S. Robinson | L. E. Burns | C. J. Nye

Data Augmentation Based on Active Virtual Sample Selection for Bearing Fault Diagnosis

PROCEEDINGS ARTICLE published 22 September 2023 in 2023 CAA Symposium on Fault Detection, Supervision and Safety for Technical Processes (SAFEPROCESS)

Authors: Zeyu Song | Xiaoyu Jiang | Wei Yu | Jinchuan Qian | Zhihuan Song

Sample Selection

DATABASE published 2020

A High-Dimensional and Small-Sample Submersible Fault Detection Method Based on Feature Selection and Data Augmentation

JOURNAL ARTICLE published 29 December 2021 in Sensors

Research funded by Shandong Province Natural Science Foundation (ZR2019ZD01)

Authors: Penghui Zhao | Qinghe Zheng | Zhongjun Ding | Yi Zhang | Hongjun Wang | Yang Yang

ECS-SC: Long-tailed classification via data augmentation based on easily confused sample selection and combination

JOURNAL ARTICLE published July 2024 in Expert Systems with Applications

Research funded by National Natural Science Foundation of China (62376114) | Natural Science Foundation of Fujian Province (2021J011003)

Authors: Wenwei He | Junyan Xu | Jie Shi | Hong Zhao

Sample Selection and Bright Star Masking in DELVE

PROCEEDINGS ARTICLE published 1 January 2021 in Sample Selection and Bright Star Masking in DELVE

Authors: Yueling Xu

Integrating data augmentation and hybrid feature selection for small sample credit risk assessment with high dimensionality

JOURNAL ARTICLE published October 2022 in Computers & Operations Research

Authors: Xiaoming Zhang | Lean Yu | Hang Yin | Kin Keung Lai

Patient selection for vertebral augmentation

BOOK CHAPTER published 2024 in Vertebral Augmentation Techniques

Authors: Manuchehr Habibi | Kenneth J. Fiala | Alaa Abd-Elsayed