Tight Bounds Between the Jensen–Shannon Divergence and the Minmax Divergence [PDF]
EntropyMotivated by questions arising at the intersection of information theory and geometry, we compare two dissimilarity measures between finite categorical distributions.
Arseniy Akopyan +3 more
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JS-MA: A Jensen-Shannon Divergence Based Method for Mapping Genome-Wide Associations on Multiple Diseases [PDF]
Frontiers in Genetics, 2020 Taking advantage of the high-throughput genotyping technology of Single Nucleotide Polymorphism (SNP), Genome-Wide Association Studies (GWASs) have been successfully implemented for defining the relative role of genes and the environment in disease risk,
Xuan Guo
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Learning geometric Jensen-Shannon divergence for tiny object detection in remote sensing images [PDF]
Frontiers in Neurorobotics, 2023 Tiny objects in remote sensing images only have a few pixels, and the detection difficulty is much higher than that of regular objects. General object detectors lack effective extraction of tiny object features, and are sensitive to the Intersection-over-
Shuyan Ni +7 more
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Bluetooth Device Identification Using RF Fingerprinting and Jensen-Shannon Divergence [PDF]
SensorsThe proliferation of radio frequency (RF) devices in contemporary society, especially in the fields of smart homes, Internet of Things (IoT) gadgets, and smartphones, underscores the urgent need for robust identification methods to strengthen ...
Rene Francisco Santana-Cruz +4 more
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Noise Reduction Using Singular Value Decomposition with Jensen–Shannon Divergence for Coronary Computed Tomography Angiography [PDF]
Diagnostics, 2023 Coronary computed tomography angiography (CCTA) is widely used due to its improvements in computed tomography (CT) diagnostic performance. Unlike other CT examinations, CCTA requires shorter rotation times of the X-ray tube, improving the temporal ...
Ryosuke Kasai, Hideki Otsuka
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Protein–ligand affinity prediction via Jensen-Shannon divergence of molecular dynamics simulation trajectories [PDF]
Biophysics and PhysicobiologyPredicting the binding affinity between proteins and ligands is a critical task in drug discovery. Although various computational methods have been proposed to estimate ligand target affinity, the method of Yasuda et al.
Kodai Igarashi, Masahito Ohue
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Granger Causality and Jensen–Shannon Divergence to Determine Dominant Atrial Area in Atrial Fibrillation [PDF]
Entropy, 2018 Atrial fibrillation (AF) is already the most commonly occurring arrhythmia. Catheter pulmonary vein ablation has emerged as a treatment that is able to make the arrhythmia disappear; nevertheless, recurrence to arrhythmia is very frequent. In this study,
Raquel Cervigón +4 more
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Two Types of Geometric Jensen–Shannon Divergences [PDF]
EntropyThe geometric Jensen–Shannon divergence (G-JSD) has gained popularity in machine learning and information sciences thanks to its closed-form expression between Gaussian distributions.
Frank Nielsen
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Entropy-Based Uncertainty-Aware Exploratory Factor Analysis for Ordinal Data: Application to Tramway Cultural Tourism Evaluation [PDF]
EntropyBackground: Perception-based evaluation using Likert-scale survey data is widely applied in tourism and transport research, yet conventional point-valued encoding imposes artificial precision and overlooks ambiguity between adjacent ordinal categories ...
Jiaozi Pu, Yaxin Shi
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Evaluating Large Language Models for Decision Support in Minimally Invasive Spine Surgery Triage and Procedural Categories [PDF]
Global Spine JournalStudy Design Vignette-based cross-sectional study. Objective Generative artificial intelligence (AI) programs such as large language models (LLMs) are reshaping treatment decision-making, yet applications in minimally invasive spine surgery (MISS) are ...
Ahmet Kartal MD +7 more
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