**********Apoligize if you receive multiple copies of this CFP *************** Journal: *Algorithms* (https://www.mdpi.com/journal/algorithms) Indexed by MathSciNet, Scopus, EI Compendex, and ESCI; CiteScore: 3.3; SJR Q2
Special Issue: "*Deep Learning Architecture and Applications <https://www.mdpi.com/journal/algorithms/special_issues/56U1X6P99B>*" Dear Colleagues, As one of the fastest-growing topics in machine learning, deep learning algorithms have achieved unprecedented success in recent years. Novel paradigms (such as contrastive learning and few-shot learning) in deep learning and rising neural network architectures (e.g., transformer, masked autoencoder) are dramatically changing the landscape of data-driven algorithms. More importantly, deep learning models, serving as powerful tools, are redefining the next generation of industrial applications spanning image recognition, speech processing, language translation, healthcare, and even sciences. For example, recent advances in deep representation learning are extending the frontiers of human knowledge on protein 3D structures, which sheds new light on fundamental medicine and biology along with potentially bringing in billions of dollars (e.g., in the pharmaceutical market). This Special Issue aims to supply a platform for the publication of novel deep learning algorithms/frameworks and their applications in real-world scenarios. The topics include but are not limited to the following: - Supervised learning - Unsupervised learning - Reinforcement learning - Explainability, generability, robustness, and fairness in deep learning - Applications of deep learning - Deep learning for health - Deep learning for sciences Please note: - *Submission deadline: March 5, 2023.* However, the submissions are reviewed in a round-base: first submit, first review, first accept. - *FREE publication policy*: We have 10 Awards to outstanding manuscripts that can waive the publication fee! Other excellent papers may get a discount on publication fee. - For any questions/suggestions/enquiries, please feel free to reach out Dr. Xiang Zhang <https://xiangzhang.info/> (xiang.zh...@uncc.edu). *Guest Editors* Dr. Xiang Zhang, UNC Charlotte, USA Dr. Xiaoxiao Li, University of British Columbia (UBC), Canada -- Xiang Zhang, Ph.D. Assistant Professor | Computer Science University of North Carolina at Charlotte 9201 University City Blvd. | Charlotte, NC 28223 xiang.zh...@uncc.edu | xiang.alan.zh...@gmail.com http://www.xiangzhang.info
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