Airline Passenger Name Record Generation using Generative Adversarial Networks

17 July 2018

Papers citing "Airline Passenger Name Record Generation using Generative Adversarial Networks"

27 / 27 papers shown

Title
A Comprehensive Survey of Synthetic Tabular Data Generation Ruxue Shi Yili Wang Mengnan Du Xu Shen Xin Wang 49 2 0 23 Apr 2025
HARMONIC: Harnessing LLMs for Tabular Data Synthesis and Privacy Protection Yuxin Wang Duanyu Feng Yongfu Dai Zhengyu Chen Jimin Huang Sophia Ananiadou Qianqian Xie Hao Wang 32 5 0 06 Aug 2024
Efficient Generation of Hidden Outliers for Improved Outlier Detection Jose Cribeiro-Ramallo Vadim Arzamasov Klemens Bohm 11 0 0 06 Feb 2024
TabuLa: Harnessing Language Models for Tabular Data Synthesis Zilong Zhao Robert Birke Lydia Y. Chen LMTD 43 29 0 19 Oct 2023
MargCTGAN: A "Marginally'' Better CTGAN for the Low Sample Regime Tejumade Afonja Dingfan Chen Mario Fritz 14 7 0 16 Jul 2023
Generative Table Pre-training Empowers Models for Tabular Prediction T. Zhang Shaowen Wang Shuicheng Yan Jian Li Qian Liu LMTD 27 38 0 16 May 2023
30 Years of Synthetic Data Joerg Drechsler Anna Haensch 30 15 0 04 Apr 2023
Synthetic Health-related Longitudinal Data with Mixed-type Variables Generated using Diffusion Models N. Kuo Louisa R Jorm S. Barbieri DiffM 31 12 0 22 Mar 2023
GAN-based Tabular Data Generator for Constructing Synopsis in Approximate Query Processing: Challenges and Solutions M. Fallahian Mohsen Dorodchi Kyle Kreth 17 7 0 18 Dec 2022
Mitigating Health Data Poverty: Generative Approaches versus Resampling for Time-series Clinical Data Raffaele Marchesi Nicolo Micheletti Giuseppe Jurman V. Osmani AI4TS 37 5 0 25 Oct 2022
Language Models are Realistic Tabular Data Generators V. Borisov Kathrin Seßler Tobias Leemann Martin Pawelczyk Gjergji Kasneci LMTD 27 223 0 12 Oct 2022
Generating Synthetic Clinical Data that Capture Class Imbalanced Distributions with Generative Adversarial Networks: Example using Antiretroviral Therapy for HIV N. Kuo Federico Garcia Anders Sönnerborg Maurizio Zazzi Michael Böhm Rolf Kaiser Mark Polizzotto Louisa R Jorm S. Barbieri GAN 38 27 0 18 Aug 2022
RCC-GAN: Regularized Compound Conditional GAN for Large-Scale Tabular Data Synthesis Mohammad Esmaeilpour Nourhene Chaalia Adel Abusitta François-Xavier Devailly Wissem Maazoun P. Cardinal GAN 22 2 0 24 May 2022
CTAB-GAN+: Enhancing Tabular Data Synthesis Zilong Zhao A. Kunar Robert Birke L. Chen 27 78 0 01 Apr 2022
The Health Gym: Synthetic Health-Related Datasets for the Development of Reinforcement Learning Algorithms N. Kuo Mark Polizzotto S. Finfer Federico Garcia Anders Sönnerborg Maurizio Zazzi Michael Böhm Louisa R Jorm S. Barbieri OOD 38 28 0 12 Mar 2022
Faking feature importance: A cautionary tale on the use of differentially-private synthetic data Oscar Giles Kasra Hosseini Grigorios Mingas Oliver Strickson Louise A. Bowler ... A. Heppenstall N. Lomax N. Malleson Martin O'Reilly Sebastian Vollmerteke 21 8 0 02 Mar 2022
FinGAN: Generative Adversarial Network for Analytical Customer Relationship Management in Banking and Insurance Prateek Kate V. Ravi Akhilesh Gangwar AI4TS 14 3 0 27 Jan 2022
Bi-Discriminator Class-Conditional Tabular GAN Mohammad Esmaeilpour Nourhene Chaalia Adel Abusitta François-Xavier Devailly Wissem Maazoun P. Cardinal 18 12 0 12 Nov 2021
Deep Neural Networks and Tabular Data: A Survey V. Borisov Tobias Leemann Kathrin Seßler Johannes Haug Martin Pawelczyk Gjergji Kasneci LMTD 36 647 0 05 Oct 2021
CTAB-GAN: Effective Table Data Synthesizing Zilong Zhao A. Kunar H. V. D. Scheer Robert Birke L. Chen CML 123 198 0 16 Feb 2021
PC-GAIN: Pseudo-label Conditional Generative Adversarial Imputation Networks for Incomplete Data Yufeng Wang Dan Li Xiang Li Min Yang 11 65 0 16 Nov 2020
Conditional Wasserstein GAN-based Oversampling of Tabular Data for Imbalanced Learning Justin Engelmann Stefan Lessmann 11 226 0 20 Aug 2020
Multiple Imputation for Biomedical Data using Monte Carlo Dropout Autoencoders Kristian Miok Dong Nguyen Doan Marko Robnik-Šikonja D. Zaharie SyDa 34 7 0 13 May 2020
Minority Class Oversampling for Tabular Data with Deep Generative Models R. Camino Christian A. Hammerschmidt R. State 14 2 0 07 May 2020
Improving Missing Data Imputation with Deep Generative Models R. Camino Christian A. Hammerschmidt R. State SyDa 13 55 0 27 Feb 2019
Differentially Private Generative Adversarial Networks for Time Series, Continuous, and Discrete Open Data Lorenzo Frigerio Anderson Santana de Oliveira L. Gomez Patrick Duverger SyDa AI4TS 23 110 0 08 Jan 2019
Revisiting Classifier Two-Sample Tests David Lopez-Paz Maxime Oquab 78 390 0 20 Oct 2016