Closest Farthest Widest [0.03%]
最近最远最大问题
Kenneth Lange
Kenneth Lange
The current paper proposes and tests algorithms for finding the diameter of a compact convex set and the farthest point in the set to another point. For these two nonconvex problems, I construct Frank-Wolfe and projected gradient ascent alg...
Algorithmic Design of Geometric Data for Molecular Potential Energy Surfaces [0.03%]
基于分子势能面的几何数据算法设计
Ahyssa R Cruz,Walter C Ermler
Ahyssa R Cruz
A code MolecGeom, based on algorithms for stepwise distortions of bond lengths, bond angles and dihedral angles of polyatomic molecules, is presented. Potential energy surfaces (PESs) are curated in terms of the energy for each molecular ge...
Finding Multiple Optimal Solutions to an Integer Linear Program by Random Perturbations of Its Objective Function [0.03%]
通过随机扰动其目标函数找到整数线性规划的多个最优解
Noah Schulhof,Pattara Sukprasert,Eytan Ruppin et al.
Noah Schulhof et al.
Integer linear programs (ILPs) and mixed integer programs (MIPs) often have multiple distinct optimal solutions, yet the widely used Gurobi optimization solver returns certain solutions at disproportionately high frequencies. This behavior ...
Anomaly Detection in High-Dimensional Time Series Data with Scaled Bregman Divergence [0.03%]
基于缩放的Bregman散度的高维时间序列异常检测方法研究
Yunge Wang,Lingling Zhang,Tong Si et al.
Yunge Wang et al.
The purpose of anomaly detection is to identify special data points or patterns that significantly deviate from the expected or typical behavior of the majority of the data, and it has a wide range of applications across various domains. Mo...
Deep Learning-Based Visual Complexity Analysis of Electroencephalography Time-Frequency Images: Can It Localize the Epileptogenic Zone in the Brain? [0.03%]
基于深度学习的脑电图时频图像视觉复杂度分析：能否用于定位大脑致痫区？
Navaneethakrishna Makaram,Sarvagya Gupta,Matthew Pesce et al.
Navaneethakrishna Makaram et al.
In drug-resistant epilepsy, a visual inspection of intracranial electroencephalography (iEEG) signals is often needed to localize the epileptogenic zone (EZ) and guide neurosurgery. The visual assessment of iEEG time-frequency (TF) images i...
Automated Segmentation of Optical Coherence Tomography Images of the Human Tympanic Membrane Using Deep Learning [0.03%]
基于深度学习的耳蜗光学 coherence tomography 图像的自动分割算法研究
Thomas P Oghalai,Ryan Long,Wihan Kim et al.
Thomas P Oghalai et al.
Optical Coherence Tomography (OCT) is a light-based imaging modality that is used widely in the diagnosis and management of eye disease, and it is starting to become used to evaluate for ear disease. However, manual image analysis to interp...
Challenges in Reducing Bias Using Post-Processing Fairness for Breast Cancer Stage Classification with Deep Learning [0.03%]
基于深度学习的乳腺癌分期分类中使用事后处理公平性方法减少偏差的挑战
Armin Soltan,Peter Washington
Armin Soltan
Breast cancer is the most common cancer affecting women globally. Despite the significant impact of deep learning models on breast cancer diagnosis and treatment, achieving fairness or equitable outcomes across diverse populations remains a...
Hendrik Santosa,Xuetong Zhai,Frank Fishburn et al.
Hendrik Santosa et al.
Functional near-infrared spectroscopy (fNIRS) is a noninvasive neuroimaging technique that uses low-levels of light (650-900 nm) to measure changes in cerebral blood volume and oxygenation. Over the last several decades, this technique has ...
Kenneth Lange
Kenneth Lange
The Hausdorff distance between two closed sets has important theoretical and practical applications. Yet apart from finite point clouds, there appear to be no generic algorithms for computing this quantity. Because many infinite sets are de...
Designing Reinforcement Learning Algorithms for Digital Interventions: Pre-Implementation Guidelines [0.03%]
数字干预措施强化学习算法的设计：实施前指导方针
Anna L Trella,Kelly W Zhang,Inbal Nahum-Shani et al.
Anna L Trella et al.
Online reinforcement learning (RL) algorithms are increasingly used to personalize digital interventions in the fields of mobile health and online education. Common challenges in designing and testing an RL algorithm in these settings inclu...