Capturing Preferences of New Users in Generative Tasks with Minimal Interactions Collaborative Filtering Using Siamese Networks and Soft Clustering by Subharag Sarkar, Manfred Huber

Subjects: “…image generation using conditional generative adversarial network…”
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A calibration framework toward model generalization for bacteria concentration estimation in water resource recovery facilities by Fahad Aljehani, Ibrahima N’Doye, Pei-Ying Hong, Mohammad Khalil Monjed, Taous-Meriem Laleg-Kirati

Subjects: “…Wasserstein generative adversarial network (WGAN)…”
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Enhancing Surveillance Video Abnormal Behavior Detection Using Deep Convolutional Generative Adversarial Network With GRU Model by Setegn Asnakew Kasegn, Ronald Waweru Mwangi, Michael Kimwele, Surafel Lemma Abebe

Subjects: “…deep convolutional generative adversarial network…”
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Deepfakes in Visual Art: Differentiating AI-Generated Art From Human Art Using Convolutional Neural Networks (CNN) by Ngonidzashe Tinago, Silas Formunyuy Verkijika, Kelibone Eva Mamabolo

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Generative AI in Intrusion Detection Systems for Internet of Things: A Systematic Literature Review by Zhe Deng, Ants Torim, Sadok Ben Yahia, Hayretdin Bahsi

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A Deep Learning Model Based on Bidirectional Temporal Convolutional Network (Bi-TCN) for Predicting Employee Attrition by Farhad Mortezapour Shiri, Shingo Yamaguchi, Mohd Anuaruddin Bin Ahmadon

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The optimization path of agricultural industry structure and intelligent transformation by deep learning by Xingchen Pan, Jinyu Chen

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ESeismic-GAN: A Generative Model for Seismic Events From Cotopaxi Volcano by Felipe Grijalva, Washington Ramos, Noel Perez, Diego Benitez, Roman Lara, Mario Ruiz

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Exploring Progress in Text-to-Image Synthesis: An In-Depth Survey on the Evolution of Generative Adversarial Networks by Md Ahsan Habib, Md Anwar Hussen Wadud, Md Fazlul Karim Patwary, Mohammad Motiur Rahman, M. F. Mridha, Yuichi Okuyama, Jungpil Shin

Subjects: “…Generative adversarial networks…”
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DeepB3P: A transformer-based model for identifying blood-brain barrier penetrating peptides with data augmentation using feedback GAN by Qiang Tang, Wei Chen

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VG-CGARN: Video Generation Using Convolutional Generative Adversarial and Recurrent Networks by Fatemeh Sobhani Manesh, Amin Nazari, Muharram Mansoorizadeh, MirHossein Dezfoulian

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A Data-Driven Approach for Generating Synthetic Load Profiles with GANs by Tsvetelina Kaneva, Irena Valova, Katerina Gabrovska-Evstatieva, Boris Evstatiev

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Bank data protection and fraud identification based on improved adaptive federated learning and WGAN by Yunjiao Zheng

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Enhancing Negative Film Colorization through Systematic CycleGAN Architectural Modifications: A Comprehensive Analysis of Generator and Discriminator Performance by Khaulyca Arva Artemysia Khaulyca, Arief Suryadi Satyawan Arief, Mokhammad Mirza Etnisa Haqiqi Mirza, Helfy Susilawati Helfy, Beni Wijaya Beni, Sani Moch Sopian Sani, Muhammad Ikbal Shamie Ikbal, Firman Firman

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Using Generative Adversarial Networks for the synthesis of emotional facial expressions in virtual educational environments by William Villegas-Ch, Alexandra Maldonado Navarro, Araceli Mera-Navarrete

Subjects: “…Generative adversarial networks…”
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ADGAN: Adaptive Domain Medical Image Synthesis Based on Generative Adversarial Networks by Liming Xu, Yanrong Lei, Bochuan Zheng, Jiancheng Lv, Weisheng Li

Subjects: “…generative adversarial networks…”
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Complex Emotion Estimation Using Analysis-by-Synthesis of Facial Expression Images by Win Shwe Sin Khine, Prarinya Siritanawan, Kazunori Kotani

Subjects: “…conditioned emotion generative adversarial networks…”
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Volcanic Activity Classification Through Semi-Supervised Learning Applied to Satellite Radiance Time Series by Francesco Spina, Giuseppe Bilotta, Annalisa Cappello, Marco Spina, Francesco Zuccarello, Gaetana Ganci

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Long-Term, Multivariate Time Series Generation With the Capture of Intervariate Correlations and Variatewise Characteristics by Kasumi Ohno, Kohei Makino, Makoto Miwa, Yutaka Sasaki

Subjects: “…Generative adversarial networks…”
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Research on an underwater high-speed vehicle target recognition method based on deep learning by WU Yajun, LIU Liwen

Subjects: “…underwater high-speed vehicle|target recognition|deep learning|generative adversarial networks…”
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