(Multiscale) Cross-Entropy Methods: A Review [PDF]
Entropy, 2019 Cross-entropy was introduced in 1996 to quantify the degree of asynchronism between two time series. In 2009, a multiscale cross-entropy measure was proposed to analyze the dynamical characteristics of the coupling behavior between two sequences on ...
Antoine Jamin, Anne Humeau-Heurtier
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Cross-Entropy Learning for Aortic Pathology Classification of Artificial Multi-Sensor Impedance Cardiography Signals [PDF]
Entropy, 2021 An aortic dissection, a particular aortic pathology, occurs when blood pushes through a tear between the layers of the aorta and forms a so-called false lumen.
Tobias Spindelböck +2 more
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AI Painting Effect Evaluation of Artistic Improvement with Cross-Entropy and Attention [PDF]
EntropyWith the rapid development of AI technology, AI painting tools are increasingly used in art creation. However, the effects of works created by different users using AI painting tools vary.
Yihuan Tian +3 more
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Rényi Cross-Entropy Measures for Common Distributions and Processes with Memory [PDF]
Entropy, 2022 Two Rényi-type generalizations of the Shannon cross-entropy, the Rényi cross-entropy and the Natural Rényi cross-entropy, were recently used as loss functions for the improved design of deep learning generative adversarial networks.
Ferenc Cole Thierrin +2 more
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Cross-Entropy as a Metric for the Robustness of Drone Swarms [PDF]
Entropy, 2020 Due to their growing number and increasing autonomy, drones and drone swarms are equipped with sophisticated algorithms that help them achieve mission objectives.
Piotr Cofta +3 more
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(HTBNet)Arbitrary Shape Scene Text Detection with Binarization of Hyperbolic Tangent and Cross-Entropy [PDF]
EntropyThe existing segmentation-based scene text detection methods mostly need complicated post-processing, and the post-processing operation is separated from the training process, which greatly reduces the detection performance.
Zhao Chen
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Graph Adaptive Attention Network with Cross-Entropy [PDF]
EntropyNon-Euclidean data, such as social networks and citation relationships between documents, have node and structural information. The Graph Convolutional Network (GCN) can automatically learn node features and association information between nodes.
Zhao Chen
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State Space Correspondence and Cross-Entropy Methods in the Assessment of Bidirectional Cardiorespiratory Coupling in Heart Failure [PDF]
EntropyThe complex interplay between the cardiac and the respiratory systems, termed cardiorespiratory coupling (CRC), is a bidirectional phenomenon that can be affected by pathologies such as heart failure (HF).
Beatrice Cairo +5 more
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A Cross-Entropy Approach to the Domination Problem and Its Variants [PDF]
EntropyThe domination problem and three of its variants (total domination, 2-domination, and secure domination) are considered. These problems have various real-world applications, including error correction codes, ad hoc routing for wireless networks, and ...
Ryan Burdett +2 more
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FinKENet: A Novel Financial Knowledge Enhanced Network for Financial Question Matching
Entropy, 2023 Question matching is the fundamental task in retrieval-based dialogue systems which assesses the similarity between Query and Question. Unfortunately, existing methods focus on improving the accuracy of text similarity in the general domain, without ...
Yu Guo +5 more
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