Ensemble Modeling of Multiple Physical Indicators to Dynamically Phenotype Autism Spectrum Disorder [0.03%]
综合多种生理指标的自闭症谱系障碍的动态表型建模研究
Marie Amale Huynh,Aaron Kline,Saimourya Surabhi et al.
Marie Amale Huynh et al.
Early detection of Autism Spectrum Disorder (ASD), a neurodevelopmental condition characterized by social communication challenges, is essential for timely intervention. Naturalistic home videos collected via mobile applications offer scala...
Multimodal LLM vs. Human-Measured Features for AI Predictions of Autism in Home Videos [0.03%]
多模态LLM与人类测量特征在家用视频中预测自闭症的对比研究
Parnian Azizian,Mohammadmahdi Honarmand,Aditi Jaiswal et al.
Parnian Azizian et al.
Autism diagnosis remains a critical healthcare challenge, with current assessments contributing to average diagnostic ages of 5 and extending to 8 in underserved populations. With the FDA approval of CanvasDx in 2021, the paradigm of human-...
Inferring the Timing of Antiretroviral Therapy by Zero-Inflated Random Change Point Models Using Longitudinal Data Subject to Left-Censoring [0.03%]
基于左胞葬的纵向数据的零膨胀随机变化点模型推理抗逆转录病毒治疗的时间
Hongbin Zhang,McKaylee Robertson,Sarah L Braunstein et al.
Hongbin Zhang et al.
We propose a new random change point model that utilizes routinely recorded individual-level HIV viral load data to estimate the timing of antiretroviral therapy (ART) initiation in people living with HIV. The change point distribution is a...
Synthesizing Explainability Across Multiple ML Models for Structured Data [0.03%]
跨多个ML模型综合结构化数据的可解释性
Emir Veledar,Lili Zhou,Omar Veledar et al.
Emir Veledar et al.
Explainable Machine Learning (XML) in high-stakes domains demands reproducible methods to aggregate feature importance across multiple models applied to the same structured dataset. We propose the Weighted Importance Score and Frequency Cou...
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...