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	1	Cross-Domain Facial Expression Recognition by Combining Transfer Learning and Face-Cycle Generative Adversarial Network Enthalten in Multimedia tools and applications 11.3.2024: 1-26
	2	SyntDiaNet: Integrating feature extraction, transfer learning and classifier-embedded generative adversarial network for advanced pneumonia diagnosis Enthalten in Multimedia tools and applications 31.1.2024: 1-39
	3	LTVAL: Label Transfer Virtual Adversarial Learning framework for source-free facial expression recognition Enthalten in Multimedia tools and applications 31.5.2023: 1-22
	4	Federated transfer learning for auxiliary classifier generative adversarial networks: framework and industrial application Enthalten in Journal of intelligent manufacturing 5.5.2023: 1-16
	5	AMTLDC: a new adversarial multi-source transfer learning framework to diagnosis of COVID-19 Enthalten in Evolving systems 12.1.2023: 1-15
	6	An exploration of semi-supervised and language-adversarial transfer learning using hybrid acoustic model for hindi speech recognition Enthalten in Journal of reliable intelligent environments 8.4.2021: 1-16
	7	Indoor WLAN Personnel Intrusion Detection Using Transfer Learning-Aided Generative Adversarial Network with Light-Loaded Database Enthalten in Mobile networks and applications 11.11.2020: 1-19
	8	A novel deep transfer learning framework with adversarial domain adaptation: application to financial time-series forecasting Enthalten in Neural computing & applications Bd. 35, 4.10.2023, Nr. 34, date:12.2023: 24037-24054
	9	ATLRec: An Attentional Adversarial Transfer Learning Network for Cross-Domain Recommendation Enthalten in Journal of computer science and technology Bd. 35, 27.7.2020, Nr. 4, date:7.2020: 794-808
	10	Dynamic scene deblurring and image de-raining based on generative adversarial networks and transfer learning for Internet of vehicle Enthalten in European Association for Speech, Signal and Image Processing: EURASIP journal on advances in signal processing Bd. 2021, 14.12.2021, Nr. 1, date:12.2021: 1-19

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