Shannon entropy

area: Machine learning · 0 papers in the last 7 days

H(X) = -\sum_x p(x) \log p(x)

The average information content, or uncertainty, of a random variable.

LaTeX: H(X) = -\sum_x p(x) \log p(x)

Names searched for: Shannon entropy, information entropy

Key findings

Shannon entropy was mentioned in 13 papers in the last 30 days (2026-09-27 to 2026-10-26), ranking #57 of the 104 equations and models mentioned.
By journal category: AI (12) and Finance (1).
Most of them appeared in Neural Networks (3), Pattern Recognition (2) and Expert Systems with Applications (1).
Often mentioned together with Support vector machine (SVM) (4), Convolutional neural network (CNN) (3) and Softmax function (3).
Datasets named in the same papers: ImageNet (3), CIFAR-10 / CIFAR-100 (2) and MNIST / Fashion-MNIST (1).

Papers mentioning Shannon entropy, newest first.
Date	Title	Journal	Authors	Affiliations
2026-10-15	An interpretable stacked ensemble fault diagnosis model for electric drive systems in new energy vehicles	Expert Systems with Applications	Jiayin Tang, Mingxing Zhao, Guo Sha et al.	Southwest Jiaotong University; West Anhui University; Xiangtan University
2026-10-15	Integrating fuzzy approximation with macrogranular information for multi-granularity feature selection	Applied Intelligence	Ping Lv, Shaowei Yan, Jin Qian	Jiangsu University of Technology; East China Jiaotong University
2026-10-14	Dynamic gain neuromodulation attenuates stability gaps during continual joint training	Neural Networks	Alejandro Rodriguez-Garcia, Anindya Ghosh, Srikanth Ramaswamy	Newcastle University
2026-10-12	Towards Trustworthy Internal Due-Date Assignment in Manufacturing Systems: A Neutrosophic Neural Network-Based Approach	Cognitive Computation	Tin-Chih Toly Chen	National Yang Ming Chiao Tung University
2026-10-08	A novel graph-based patient embedding method for the diagnosis of Alzheimer’s disease from microRNA expression data	Data Mining and Knowledge Discovery	Veronica Buttaro, Antonio Pellicani, Gianvito Pio et al.	University of Bari Aldo Moro; Consorzio Interuniversitario Nazionale per l'Informatica; National Research Council; …
2026-10-08	ALDGnet: Active learning-based label-efficient network for domain generalization in hyperspectral image classification	Pattern Recognition	Xiangyu Ji, Jingpeng Gao	Harbin Engineering University
2026-10-07	SEPAL-Fuse: Semantic-preserving alignment for infrared–visible image fusion	Neural Networks	Xianshuai Li, Shuqing Liang, Jian Zhang et al.	Central South University
2026-10-06	A Partial Reinforcement Optimizer-based Echo State Network for nonlinear time-series model	Knowledge-Based Systems	Lei Wang, Xibo Lv, Deyuan Dai et al.	Beijing Information Science & Technology University; China National Institute of Standardization; National Institute of Metrology
2026-10-05	EGBOD: Entropy-guided granular ball-based outlier detection via multi-perspective scoring	Pattern Recognition	Amirreza Zarekar, Negin Daneshpour	Shahid Rajaee Teacher Training University
2026-10-03	Uncertainty quantification for trustworthy deep learning: Methods and measures	Neural Networks	H. Martin Gillis, Thomas P. Trappenberg	Dalhousie University
2026-10-01	Beyond accuracy: calibration and uncertainty in multi-architecture ensembles for MedMNIST classification	Neural Computing and Applications	Hrushikesh Sanap
2026-10-01	Privacy Leakage on DNNs: A Survey of Model Inversion Attacks and Defenses	International Journal of Computer Vision	Hao Fang, Yixiang Qiu, Hongyao Yu et al.	Tsinghua Shenzhen International Graduate School; Tsinghua University; Harbin Institute of Technology; …
2026-09-29	A “Policy of Words”? Transitory framing and narrative adjustment in FED and ECB communication	Research in International Business and Finance	Mateusz Mariusz Mierzejewski	Krakow University of Economics