Search Results - Generative Programming. Index Terms

Literature survey of multi-track music generation model based on generative confrontation network in intelligent composition by Liu, Weiming

“… Therefore, this paper aims to use artificial intelligence (AI) for songwriting and to explore the development and application of the Generative Adversarial Network (GAN) in smart music…”
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Assessing ChatGPT’s Mastery of Bloom’s Taxonomy Using Psychosomatic Medicine Exam Questions: Mixed-Methods Study by Herrmann-Werner, Anne, Festl-Wietek, Teresa, Holderried, Friederike, Herschbach, Lea, Griewatz, Jan, Masters, Ken, Zipfel, Stephan, Mahling, Moritz

“…Large language models such as GPT-4 (Generative Pre-trained Transformer 4) are being increasingly used in medicine and medical education…”
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Artificial Intelligence for Computer Science Education in Higher Education: A Systematic Review of Empirical Research Published in 2003–2023 by Zhu, Meina, Zhang, Ke

“…Given the growing demands in computer science (CS) education and the rapid progress of artificial intelligence (AI) technologies, this article presents a…”
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Leveraging AI in the Classroom to Transform Adolescent Dietary Habits Through Innovative Nutritional Education by Bešlić, Josip, Bešlić, Ana, Haverić, Anja, Gajević, Mahir

“… of generative AI models to teach students about the benefits of dietary habits, we sought to engage students…”
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Conditional Variational Autoencoder with Balanced Pre-training for Generative Adversarial Networks by Yao, Yuchong, Wang, Xiaohui, Ma, Yuanbang, Fang, Han, Wei, Jiaying, Chen, Liyuan, Anaissi, Ali, Braytee, Ali

“… With imbalanced data, the generative adversarial networks (GANs) leans to majority class samples…”
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ChatGPT for Univariate Statistics: Validation of AI-Assisted Data Analysis in Healthcare Research by Ruta, Michael R, Gaidici, Tony, Irwin, Chase, Lifshitz, Jonathan

“… in terms of data analysis applications. This study aimed to assess ChatGPT as a data analysis tool and provide researchers with a framework for applying ChatGPT to data management tasks, descriptive statistics, and inferential statistics…”
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Reducing Differences Between Real and Realistic Samples to Improve GANs by Zhang, Shen, Li, Huaxiong, Li, Yaohui, Zhou, Xianzhong, Chen, Chunlin

“…Generative Adversarial Nets (GANs) receive much attention and show great superiority in generating realistic images…”
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A rolling-horizon optimization algorithm for the long term operational scheduling of cogeneration systems by Bischi, Aldo, Taccari, Leonardo, Martelli, Emanuele, Amaldi, Edoardo, Manzolini, Giampaolo, Silva, Paolo, Campanari, Stefano, Macchi, Ennio

“…, as well as yearly fiscal incentives. The presented algorithm is based on the Mixed Integer Linear Programming (MILP…”
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Artificial intelligence programming with Python: from zero to hero by Xiao, Perry

“…A hands-on roadmap to using Python for artificial intelligence programming In Practical Artificial Intelligence Programming with Python…”
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Deep Learning with Python - Learn Best Practices of Deep Learning Models with PyTorch (2nd Edition) by Ketkar, Nikhil, Moolayil, Jojo

“…, convolution neural networks, recurrent neural networks, long short-term memory networks, autoencoders…”
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Evaluation of human and AI cooperation in pair programming on the example of CodeLlama and GPT-4 by Deineha, Oleksandr, Arshava, Olena, Zhovtonizhko, Iryna

“…The aim of the study was the experimental evaluation of the effectiveness of human interaction with large artificial intelligence language models during the completion of programming tasks in a pair programming format…”
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Revealing Patient Dissatisfaction With Health Care Resource Allocation in Multiple Dimensions Using Large Language Models and the International Classification of Diseases 11th Revision: Aspect-Based Sentiment Analysis by Li, Jiaxuan, Yang, Yunchu, Mao, Chao, Pang, Patrick Cheong-Iao, Zhu, Quanjing, Xu, Dejian, Wang, Yapeng

“…Accurately measuring the health care needs of patients with different diseases remains a public health challenge for health care management worldwide. There is…”
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Nonparametric Feature Matching Based Conditional Random Fields for Gesture Recognition from Multi-Modal Video by Chang, Ju Yong

“… A generative probabilistic model is formalized and probability densities are nonparametrically estimated by matching input features with a training dataset…”
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Deep Learning for Beginners: A beginner's guide to getting up and running with deep learning from scratch using Python by Rivas, Pablo

“…Implement supervised, unsupervised, and generative deep learning (DL) models using Keras and Dopamine with TensorFlow Key Features…”
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Deep Learning and Its Applications by Tiwari, Arvind Kumar

“…In just the past five years, deep learning has taken the world by surprise, driving rapid progress in fields as diverse as computer vision, natural language…”
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Metaphor and Critical Realism by Lewis, P. A.

“… vocabulary in terms of which scientists can structure and so understand their subject matter…”
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