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Publication search results
found 31 matches
- 2024
- Tadesse G. Wakjira, M. Shahria Alam:
Peak and ultimate stress-strain model of confined ultra-high-performance concrete (UHPC) using hybrid machine learning model with conditional tabular generative adversarial network. Appl. Soft Comput. 154: 111353 (2024) - Xiaoyan Zhao, Shaopeng Guan, Yuewei Xue, Hao Pan:
HS-CGK: A Hybrid Sampling Method for Imbalance Data Based on Conditional Tabular Generative Adversarial Network and K-Nearest Neighbor Algorithm. Comput. Informatics 43(1): 213-239 (2024) - Songbo Wang, Haixin Yang, Tim Stratford, Jiayi He, Biao Li, Jun Su:
Evaluating the effect of curing conditions on the glass transition of the structural adhesive using conditional tabular generative adversarial networks. Eng. Appl. Artif. Intell. 130: 107796 (2024) - Jingrui Liu, Zixin Duan, Xinkai Hu, Jingxuan Zhong, Yunfei Yin:
Detracking Autoencoding Conditional Generative Adversarial Network: Improved Generative Adversarial Network Method for Tabular Missing Value Imputation. Entropy 26(5): 402 (2024) - Wei Cui, Rasa Hosseinzadeh, Junwei Ma, Tongzi Wu, Yi Sui, Keyvan Golestan:
Tabular Data Contrastive Learning via Class-Conditioned and Feature-Correlation Based Augmentation. CoRR abs/2404.17489 (2024) - SeungHwan An, Gyeongdong Woo, Jaesung Lim, ChangHyun Kim, Sungchul Hong, Jong-June Jeon:
Masked Language Modeling Becomes Conditional Density Estimation for Tabular Data Synthesis. CoRR abs/2405.20602 (2024) - Tomasz Szczepanski, Michal K. Grzeszczyk, Szymon Plotka, Arleta Adamowicz, Piotr Fudalej, Przemyslaw Korzeniowski, Tomasz Trzcinski, Arkadiusz Sitek:
Let Me DeCode You: Decoder Conditioning with Tabular Data. CoRR abs/2407.09437 (2024) - 2023
- Ahmed S. Alfakeeh, Mhd Saeed Sharif, Abin Daniel Zorto, Thiago Pillonetto:
Conditional Tabular Generative Adversarial Net for Enhancing Ensemble Classifiers in Sepsis Diagnosis. Appl. Comput. Intell. Soft Comput. 2023: 8819052:1-8819052:12 (2023) - Xiaoyan Zhao, Shaopeng Guan:
CTCN: a novel credit card fraud detection method based on Conditional Tabular Generative Adversarial Networks and Temporal Convolutional Network. PeerJ Comput. Sci. 9: e1634 (2023) - Basim Ahmad Alabsi, Mohammed Anbar, Shaza Dawood Ahmed Rihan:
Conditional Tabular Generative Adversarial Based Intrusion Detection System for Detecting Ddos and Dos Attacks on the Internet of Things Networks. Sensors 23(12): 5644 (2023) - Ritwik Rai, Shamik Sural:
Tool/Dataset Paper: Realistic ABAC Data Generation using Conditional Tabular GAN. CODASPY 2023: 273-278 - Kenya Okage, Sora Asada, Kei Tabuchi, Yuki Nagai, Kyohei Toyoshima, Tetsuya Oda:
A Route Conditions Based Adaptive Route Planning System Considering Yoshii River Floods. GCCE 2023: 921-922 - V. Amrith, Darshan S, Suriya K. S, Sulakshan Vajipayajula, Kartik Srinivasan, Senthil Kumar Thangavel, T. Gireesh Kumar:
An early malware threat detection model using Conditional Tabular Generative Adversarial Network. ICCCNT 2023: 1-8 - Archana Nigam, Sanjay Srivastava:
Generating Realistic Synthetic Traffic Data using Conditional Tabular Generative Adversarial Networks for Intelligent Transportation Systems. ITSC 2023: 2881-2886 - Michal K. Grzeszczyk, Szymon Plotka, Beata Rebizant, Katarzyna Kosinska-Kaczynska, Michal Lipa, Robert Brawura-Biskupski-Samaha, Przemyslaw Korzeniowski, Tomasz Trzcinski, Arkadiusz Sitek:
TabAttention: Learning Attention Conditionally on Tabular Data. MICCAI (7) 2023: 347-357 - 2022
- Mohammad Esmaeilpour, Nourhene Chaalia, Adel Abusitta, François-Xavier Devailly, Wissem Maazoun, Patrick Cardinal:
RCC-GAN: Regularized Compound Conditional GAN for Large-Scale Tabular Data Synthesis. CoRR abs/2205.11693 (2022) - Gael Lederrey, Tim Hillel, Michel Bierlaire:
ciDATGAN: Conditional Inputs for Tabular GANs. CoRR abs/2210.02404 (2022) - Andrei Margeloiu, Nikola Simidjievski, Pietro Lio', Mateja Jamnik:
Graph-Conditioned MLP for High-Dimensional Tabular Biomedical Data. CoRR abs/2211.06302 (2022) - 2021
- Justin Engelmann, Stefan Lessmann:
Conditional Wasserstein GAN-based oversampling of tabular data for imbalanced learning. Expert Syst. Appl. 174: 114582 (2021) - Jayoung Kim, Jinsung Jeon, Jaehoon Lee, Jihyeon Hyeong, Noseong Park:
OCT-GAN: Neural ODE-based Conditional Tabular GANs. WWW 2021: 1506-1515 - Jayoung Kim, Jinsung Jeon, Jaehoon Lee, Jihyeon Hyeong, Noseong Park:
OCT-GAN: Neural ODE-based Conditional Tabular GANs. CoRR abs/2105.14969 (2021) - Mohammad Esmaeilpour, Nourhene Chaalia, Adel Abusitta, François-Xavier Devailly, Wissem Maazoun, Patrick Cardinal:
Bi-Discriminator Class-Conditional Tabular GAN. CoRR abs/2111.06549 (2021) - 2020
- Jaeuk Moon, Seungwon Jung, Sungwoo Park, Eenjun Hwang:
Conditional Tabular GAN-Based Two-Stage Data Generation Scheme for Short-Term Load Forecasting. IEEE Access 8: 205327-205339 (2020) - Manhar Walia, Brendan Tierney, Susan McKeever:
Synthesising Tabular Data using Wasserstein Conditional GANs with Gradient Penalty (WCGAN-GP). AICS 2020: 325-336 - Justin Engelmann, Stefan Lessmann:
Conditional Wasserstein GAN-based Oversampling of Tabular Data for Imbalanced Learning. CoRR abs/2008.09202 (2020) - 2019
- Lei Xu, Maria Skoularidou, Alfredo Cuesta-Infante, Kalyan Veeramachaneni:
Modeling Tabular data using Conditional GAN. NeurIPS 2019: 7333-7343 - Lei Xu, Maria Skoularidou, Alfredo Cuesta-Infante, Kalyan Veeramachaneni:
Modeling Tabular data using Conditional GAN. CoRR abs/1907.00503 (2019) - 2014
- Ioan Tabus:
Patch-Based Conditional Context Coding of Stereo Disparity Images. IEEE Signal Process. Lett. 21(10): 1220-1224 (2014) - Ioan Tabus, Pekka Astola:
Sparse prediction for compression of stereo color images conditional on constant disparity patches. 3DTV-Conference 2014: 1-4 - 2012
- Leonard James Mselle, Tabu S. Kondo:
Deploying Computer-Based Learning under suboptimal conditions. ICITST 2012: 94-98
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