ECOGEN: Bird sounds generation using deep learning by Axel‐Christian Guei, Sylvain Christin, Nicolas Lecomte, Éric Hervet

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Texture-based latent space disentanglement for enhancement of a training dataset for ANN-based classification of fruit and vegetables by Khurram Hameed, Douglas Chai, Alexander Rassau

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Creativity in Generative Musical Networks: Evidence From Two Case Studies by Rodrigo F. Cádiz, Rodrigo F. Cádiz, Agustín Macaya, Manuel Cartagena, Denis Parra

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Direct feature extraction from two-dimensional X-ray diffraction images of semiconductor thin films for fabrication analysis by Akihiro Yamashita, Takahiro Nagata, Shinjiro Yagyu, Toru Asahi, Toyohiro Chikyow

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Imitating by Generating: Deep Generative Models for Imitation of Interactive Tasks by Judith Bütepage, Ali Ghadirzadeh, Ali Ghadirzadeh, Özge Öztimur Karadaǧ, Özge Öztimur Karadaǧ, Mårten Björkman, Danica Kragic

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Topic-Document Inference With the Gumbel-Softmax Distribution by Amit Kumar, Nazanin Esmaili, Massimo Piccardi

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Application of Thermography and Adversarial Reconstruction Anomaly Detection in Power Cast-Resin Transformer by Kuo-Hao Fanchiang, Cheng-Chien Kuo

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Enhancing cancer differentiation with synthetic MRI examinations via generative models: a systematic review by Avtantil Dimitriadis, Eleftherios Trivizakis, Nikolaos Papanikolaou, Manolis Tsiknakis, Kostas Marias

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A fuzzy control algorithm based on artificial intelligence for the fusion of traditional Chinese painting and AI painting by Xu Xu

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Real-time tracking of structural evolution in 2D MXenes using theory-enhanced machine learning by Jonathan D. Hollenbach, Cassandra M. Pate, Haili Jia, James L. Hart, Paulette Clancy, Mitra L. Taheri

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Bioequivalence Studies of Highly Variable Drugs: An Old Problem Addressed by Artificial Neural Networks by Dimitris Papadopoulos, Georgia Karali, Vangelis D. Karalis

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SolarGAN: Synthetic annual solar irradiance time series on urban building facades via Deep Generative Networks by Yufei Zhang, Arno Schlueter, Christoph Waibel

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Deep Learning Techniques for Radar-Based Continuous Human Activity Recognition by Ruchita Mehta, Sara Sharifzadeh, Vasile Palade, Bo Tan, Alireza Daneshkhah, Yordanka Karayaneva

Subjects: “…convolutional variational autoencoder (CVAE)…”
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On the role of generative artificial intelligence in the development of brain-computer interfaces by Seif Eldawlatly

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Estimating the Value-at-Risk by Temporal VAE by Robert Buch, Stefanie Grimm, Ralf Korn, Ivo Richert

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A Deep Adversarial Approach Based on Multi-Sensor Fusion for Semi-Supervised Remaining Useful Life Prognostics by David Verstraete, Enrique Droguett, Mohammad Modarres

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Transfer learning of species co-occurrence patterns between plant communities by Johannes Hirn, Verónica Sanz, José Enrique García, Marta Goberna, Alicia Montesinos-Navarro, José Antonio Navarro-Cano, Ricardo Sánchez-Martín, Alfonso Valiente-Banuet, Miguel Verdú

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MURM: Utilization of Multi-Views for Goal-Conditioned Reinforcement Learning in Robotic Manipulation by Seongwon Jang, Hyemi Jeong, Hyunseok Yang

Subjects: “…vector-quantized variational autoencoders (VQVAE)…”
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An Overview of Deep Learning Based Methods for Unsupervised and Semi-Supervised Anomaly Detection in Videos by B. Ravi Kiran, Dilip Mathew Thomas, Ranjith Parakkal

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Detection of Marchiafava Bignami disease using distinct deep learning techniques in medical diagnostics by J. Satheesh Kumar, V. Vinoth Kumar, T. R. Mahesh, Mohammed S. Alqahtani, P. Prabhavathy, K. Manikandan, Suresh Guluwadi

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