Статті в журналах з теми "Classification based on generative models"
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Cazzanti, Luca, Maya R. Gupta, and Anjali J. Koppal. "Generative models for similarity-based classification." Pattern Recognition 41, no. 7 (July 2008): 2289–97. http://dx.doi.org/10.1016/j.patcog.2008.01.005.
Wei, Wei, Jun Fang, Ning Yang, Qi Li, Lin Hu, Lanbo Zhao, and Jie Han. "AC-ModNet: Molecular Reverse Design Network Based on Attribute Classification." International Journal of Molecular Sciences 25, no. 13 (June 25, 2024): 6940. http://dx.doi.org/10.3390/ijms25136940.
Gopal, Narendra, and Sivakumar D. "DIMENSIONALITY REDUCTION BASED CLASSIFICATION USING GENERATIVE ADVERSARIAL NETWORKS DATASET GENERATION." ICTACT Journal on Image and Video Processing 13, no. 01 (August 1, 2022): 2786–90. http://dx.doi.org/10.21917/ijivp.2022.0396.
Shastry, K. Aditya, B. A. Manjunatha, T. G. Mohan Kumar, and D. U. Karthik. "Generative Adversarial Networks Based Scene Generation on Indian Driving Dataset." Journal of ICT Research and Applications 17, no. 2 (August 31, 2023): 181–200. http://dx.doi.org/10.5614/itbj.ict.res.appl.2023.17.2.4.
Ekolle, Zie Eya, and Ryuji Kohno. "GenCo: A Generative Learning Model for Heterogeneous Text Classification Based on Collaborative Partial Classifications." Applied Sciences 13, no. 14 (July 14, 2023): 8211. http://dx.doi.org/10.3390/app13148211.
Zhai, Junhai, Jiaxing Qi, and Chu Shen. "Binary imbalanced data classification based on diversity oversampling by generative models." Information Sciences 585 (March 2022): 313–43. http://dx.doi.org/10.1016/j.ins.2021.11.058.
Kim, Eunbeen, Jaeuk Moon, Jonghwa Shim, and Eenjun Hwang. "DualDiscWaveGAN-Based Data Augmentation Scheme for Animal Sound Classification." Sensors 23, no. 4 (February 10, 2023): 2024. http://dx.doi.org/10.3390/s23042024.
Kannan, K. Gokul, and T. R. Ganesh Babu. "Semi Supervised Generative Adversarial Network for Automated Glaucoma Diagnosis with Stacked Discriminator Models." Journal of Medical Imaging and Health Informatics 11, no. 5 (May 1, 2021): 1334–40. http://dx.doi.org/10.1166/jmihi.2021.3787.
Chen, Zirui. "Diffusion Models-based Data Augmentation for the Cell Cycle Phase Classification." Journal of Physics: Conference Series 2580, no. 1 (September 1, 2023): 012001. http://dx.doi.org/10.1088/1742-6596/2580/1/012001.
Bhavani, N. Sree, G. Narendra Babu Reddy, Y. Sravani Devi, M. Bhavani, P. Chandana Reddy, and V. Abhignya Reddy. "Generative Data Augmentation and ARMD Classification." International Journal for Research in Applied Science and Engineering Technology 11, no. 6 (June 30, 2023): 3662–67. http://dx.doi.org/10.22214/ijraset.2023.54178.
Wang, Chuantao, Xuexin Yang, and Linkai Ding. "Imbalanced sentiment classification based on sequence generative adversarial nets." Journal of Intelligent & Fuzzy Systems 39, no. 5 (November 19, 2020): 7909–19. http://dx.doi.org/10.3233/jifs-201370.
Hassani, Hossein, Roozbeh Razavi-Far, Mehrdad Saif, and Vasile Palade. "Generative Adversarial Network-Based Scheme for Diagnosing Faults in Cyber-Physical Power Systems." Sensors 21, no. 15 (July 30, 2021): 5173. http://dx.doi.org/10.3390/s21155173.
Cao, Zhiyi, Lei Shi, Wei Wang, and Shaozhang Niu. "Facial Pose and Expression Transfer Based on Classification Features." Electronics 12, no. 8 (April 7, 2023): 1756. http://dx.doi.org/10.3390/electronics12081756.
Won, K. J., C. Saunders, and A. Prügel-Bennett. "Evolving Fisher Kernels for Biological Sequence Classification." Evolutionary Computation 21, no. 1 (March 2013): 83–105. http://dx.doi.org/10.1162/evco_a_00065.
Miller, David J., Jayaram Raghuram, George Kesidis, and Christopher M. Collins. "Improved Generative Semisupervised Learning Based on Finely Grained Component-Conditional Class Labeling." Neural Computation 24, no. 7 (July 2012): 1926–66. http://dx.doi.org/10.1162/neco_a_00284.
Bandi, Ajay, Pydi Venkata Satya Ramesh Adapa, and Yudu Eswar Vinay Pratap Kumar Kuchi. "The Power of Generative AI: A Review of Requirements, Models, Input–Output Formats, Evaluation Metrics, and Challenges." Future Internet 15, no. 8 (July 31, 2023): 260. http://dx.doi.org/10.3390/fi15080260.
Zhou, Kun, Wenyong Wang, Teng Hu, and Kai Deng. "Time Series Forecasting and Classification Models Based on Recurrent with Attention Mechanism and Generative Adversarial Networks." Sensors 20, no. 24 (December 16, 2020): 7211. http://dx.doi.org/10.3390/s20247211.
Lv, Yancheng, Lin Lin, Jie Liu, Hao Guo, and Changsheng Tong. "Research on Imbalanced Data Classification Based on Classroom-Like Generative Adversarial Networks." Neural Computation 34, no. 4 (March 23, 2022): 1045–73. http://dx.doi.org/10.1162/neco_a_01470.
Zhang, Xia, and Mingyu Ma. "Research on sEMG Feature Generation and Classification Performance Based on EBGAN." Electronics 12, no. 4 (February 20, 2023): 1040. http://dx.doi.org/10.3390/electronics12041040.
Li, Bohan, Xiao Xu, Xinghao Wang, Yutai Hou, Yunlong Feng, Feng Wang, Xuanliang Zhang, Qingfu Zhu, and Wanxiang Che. "Semantic-Guided Generative Image Augmentation Method with Diffusion Models for Image Classification." Proceedings of the AAAI Conference on Artificial Intelligence 38, no. 4 (March 24, 2024): 3018–27. http://dx.doi.org/10.1609/aaai.v38i4.28084.
Zhang, Zhaohui, Lijun Yang, Ligong Chen, Qiuwen Liu, Ying Meng, Pengwei Wang, and Maozhen Li. "A generative adversarial network–based method for generating negative financial samples." International Journal of Distributed Sensor Networks 16, no. 2 (February 2020): 155014772090705. http://dx.doi.org/10.1177/1550147720907053.
Sheeny, Marcel, Andrew Wallace, and Sen Wang. "RADIO: Parameterized Generative Radar Data Augmentation for Small Datasets." Applied Sciences 10, no. 11 (June 2, 2020): 3861. http://dx.doi.org/10.3390/app10113861.
Gao, Dan, Xiaofang Wu, Zhijin Wen, Yue Xu, and Zhengchao Chen. "Few-shot SAR vehicle target augmentation based on generative adversarial networks." ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences X-1-2024 (May 9, 2024): 83–90. http://dx.doi.org/10.5194/isprs-annals-x-1-2024-83-2024.
Lee, Donghoun. "Driving Safety Area Classification for Automated Vehicles Based on Data Augmentation Using Generative Models." Sustainability 16, no. 11 (May 21, 2024): 4337. http://dx.doi.org/10.3390/su16114337.
Wu, Jheng-Long, and Shuoyen Huang. "Application of Generative Adversarial Networks and Shapley Algorithm Based on Easy Data Augmentation for Imbalanced Text Data." Applied Sciences 12, no. 21 (October 29, 2022): 10964. http://dx.doi.org/10.3390/app122110964.
Škorić, Mihailo, Miloš Utvić, and Ranka Stanković. "Transformer-Based Composite Language Models for Text Evaluation and Classification." Mathematics 11, no. 22 (November 16, 2023): 4660. http://dx.doi.org/10.3390/math11224660.
Jie, Zhideng, Hong Zhang, Kaixuan Li, Xiao Xie, and Aopu Shi. "Image Enhancement of Steel Plate Defects Based on Generative Adversarial Networks." Electronics 13, no. 11 (May 22, 2024): 2013. http://dx.doi.org/10.3390/electronics13112013.
Chen, Yushi, Lingbo Huang, Lin Zhu, Naoto Yokoya, and Xiuping Jia. "Fine-Grained Classification of Hyperspectral Imagery Based on Deep Learning." Remote Sensing 11, no. 22 (November 18, 2019): 2690. http://dx.doi.org/10.3390/rs11222690.
Chatterjee, Kalyan, M. Raju, N. Selvamuthukumaran, M. Pramod, B. Krishna Kumar, Anjan Bandyopadhyay, and Saurav Mallik. "HaCk: Hand Gesture Classification Using a Convolutional Neural Network and Generative Adversarial Network-Based Data Generation Model." Information 15, no. 2 (February 4, 2024): 85. http://dx.doi.org/10.3390/info15020085.
Li, Yuanming, Bonhwa Ku, Shou Zhang, Jae-Kwang Ahn, and Hanseok Ko. "Seismic Data Augmentation Based on Conditional Generative Adversarial Networks." Sensors 20, no. 23 (November 30, 2020): 6850. http://dx.doi.org/10.3390/s20236850.
Liu, Kun, Xiaolin Ning, and Sidong Liu. "Medical Image Classification Based on Semi-Supervised Generative Adversarial Network and Pseudo-Labelling." Sensors 22, no. 24 (December 17, 2022): 9967. http://dx.doi.org/10.3390/s22249967.
Shaik, Abdul Lateef Haroon Phulara, Monica Komala Manoharan, Alok Kumar Pani, Raji Reddy Avala, and Chien-Ming Chen. "Gaussian Mutation–Spider Monkey Optimization (GM-SMO) Model for Remote Sensing Scene Classification." Remote Sensing 14, no. 24 (December 11, 2022): 6279. http://dx.doi.org/10.3390/rs14246279.
Mounica, Mrs K. V. S. "GAN Based Multi-Class Skin Disease Classification: Deep Learning Approach." International Journal for Research in Applied Science and Engineering Technology 12, no. 5 (May 31, 2024): 137–42. http://dx.doi.org/10.22214/ijraset.2024.61366.
Alhumaid, Mohammad, and Ayman G. Fayoumi. "Transfer Learning-Based Classification of Maxillary Sinus Using Generative Adversarial Networks." Applied Sciences 14, no. 7 (April 6, 2024): 3083. http://dx.doi.org/10.3390/app14073083.
Schaudt, Daniel, Christian Späte, Reinhold von Schwerin, Manfred Reichert, Marianne von Schwerin, Meinrad Beer, and Christopher Kloth. "A Critical Assessment of Generative Models for Synthetic Data Augmentation on Limited Pneumonia X-ray Data." Bioengineering 10, no. 12 (December 14, 2023): 1421. http://dx.doi.org/10.3390/bioengineering10121421.
Elzobi, Moftah, and Ayoub Al-Hamadi. "Generative vs. Discriminative Recognition Models for Off-Line Arabic Handwriting." Sensors 18, no. 9 (August 24, 2018): 2786. http://dx.doi.org/10.3390/s18092786.
Lee, Junghyuk, Jun-Hyuk Kim, and Jong-Seok Lee. "Demystifying Randomly Initialized Networks for Evaluating Generative Models." Proceedings of the AAAI Conference on Artificial Intelligence 37, no. 7 (June 26, 2023): 8482–90. http://dx.doi.org/10.1609/aaai.v37i7.26022.
Abedi, Masoud, Lars Hempel, Sina Sadeghi, and Toralf Kirsten. "GAN-Based Approaches for Generating Structured Data in the Medical Domain." Applied Sciences 12, no. 14 (July 13, 2022): 7075. http://dx.doi.org/10.3390/app12147075.
You, Yuyang, Xiaoyu Guo, Xuyang Zhong, and Zhihong Yang. "A Few-Shot Learning-Based EEG and Stage Transition Sequence Generator for Improving Sleep Staging Performance." Biomedicines 10, no. 12 (November 22, 2022): 3006. http://dx.doi.org/10.3390/biomedicines10123006.
Cheng, Ruoxi. "Expansion of the CT-scans image set based on the pretrained DCGAN for improving the performance of the CNN." Journal of Physics: Conference Series 2646, no. 1 (December 1, 2023): 012015. http://dx.doi.org/10.1088/1742-6596/2646/1/012015.
Divyanth, L. G., D. S. Guru, Peeyush Soni, Rajendra Machavaram, Mohammad Nadimi, and Jitendra Paliwal. "Image-to-Image Translation-Based Data Augmentation for Improving Crop/Weed Classification Models for Precision Agriculture Applications." Algorithms 15, no. 11 (October 30, 2022): 401. http://dx.doi.org/10.3390/a15110401.
Hsieh, Chen-Chiung, Ti-Yun Hsu, and Wei-Hsin Huang. "An Online Rail Track Fastener Classification System Based on YOLO Models." Sensors 22, no. 24 (December 17, 2022): 9970. http://dx.doi.org/10.3390/s22249970.
Wang, Ziyue, and Junjun Guo. "Self-adaptive attention fusion for multimodal aspect-based sentiment analysis." Mathematical Biosciences and Engineering 21, no. 1 (2023): 1305–20. http://dx.doi.org/10.3934/mbe.2024056.
Alrashedy, Halima Hamid N., Atheer Fahad Almansour, Dina M. Ibrahim, and Mohammad Ali A. Hammoudeh. "BrainGAN: Brain MRI Image Generation and Classification Framework Using GAN Architectures and CNN Models." Sensors 22, no. 11 (June 6, 2022): 4297. http://dx.doi.org/10.3390/s22114297.
Yan, Yang, Wen Bo Huang, Yun Ji Wang, and Na Li. "Image Labeling Model Based on Conditional Random Fields." Advanced Materials Research 756-759 (September 2013): 3869–73. http://dx.doi.org/10.4028/www.scientific.net/amr.756-759.3869.
Alhoraibi, Lamia, Daniyal Alghazzawi, and Reemah Alhebshi. "Generative Adversarial Network-Based Data Augmentation for Enhancing Wireless Physical Layer Authentication." Sensors 24, no. 2 (January 19, 2024): 641. http://dx.doi.org/10.3390/s24020641.
Boone, Kyle. "ParSNIP: Generative Models of Transient Light Curves with Physics-enabled Deep Learning." Astronomical Journal 162, no. 6 (December 1, 2021): 275. http://dx.doi.org/10.3847/1538-3881/ac2a2d.
Yang, Guan, Chao Li, Xiaojun Liu, and Guangyou Fang. "A THz Passive Image Generation Method Based on Generative Adversarial Networks." Applied Sciences 12, no. 4 (February 14, 2022): 1976. http://dx.doi.org/10.3390/app12041976.
Gaspar, Héléna A., Gilles Marcou, Dragos Horvath, Alban Arault, Sylvain Lozano, Philippe Vayer, and Alexandre Varnek. "Generative Topographic Mapping-Based Classification Models and Their Applicability Domain: Application to the Biopharmaceutics Drug Disposition Classification System (BDDCS)." Journal of Chemical Information and Modeling 53, no. 12 (December 9, 2013): 3318–25. http://dx.doi.org/10.1021/ci400423c.
Lu, Zhengdong, Todd K. Leen, and Jeffrey Kaye. "Kernels for Longitudinal Data with Variable Sequence Length and Sampling Intervals." Neural Computation 23, no. 9 (September 2011): 2390–420. http://dx.doi.org/10.1162/neco_a_00164.