Surveys

ARMOR++: Agentic Orchestration of a Multi-Domain Primitive Set for Transferable Attacks on Deepfake Detectors

The reliability of deepfake detectors frequently degrades under black-box adversarial transfer, as these models often rely on fragile, architecture-dependent forensic cues. Existing transfer attacks often lack semantic awareness and struggle to maintain effectiveness under strict no-query constraints, particularly when perturbations are transferred from convolutional surrogates to transformer-base...

HoloGeo: Mitigating Landmark Bias in Geo-localization via Evidence-Driven Reasoning

Recent advances in Vision-Language Models (VLMs) have significantly improved image geo-localization, yet existing models remain susceptible to landmark bias, causing them to overlook geographical cues or form spurious correlations, ultimately resulting in inaccurate localization. To systematically investigate this issue, we first design two quantitative metrics, Bias Intensity (BI) and Bias Harmfu...

Audited Selective Verification for Risk-Controlled N-1 Thermal Contingency Screening under Deployment Shift

Real-time N-1 contingency screening in an energy management system trades assurance against cost: verifying every credible outage with full power flow...

Exploring Attitudes of Primary Caregivers Towards Pediatric Tissue-Based Research using Large Language Models: Insights from Rural and Urban Community Calls and Surveys

Objectives: Explore the perspectives of primary caregivers towards pediatric tissue-based research participation. Design: Cross-sectional. Setting: Tw...

Confidence Scores in Open-Vocabulary Detection Are a Biased Mixture of Scale and Semantics

Foundation models such as CLIP have enabled open-vocabulary object detectors that generalise to novel categories via vision-language similarity. Howev...

Why Low-Light Cameras Go Color Blind: Removing Color Bias in Raw Denoising

Raw images inherently suffer from noise due to the stochastic nature of light and sensor hardware imperfections. As real photon counts fall, the ratio...

Machine Learning Models for Osteoporosis Prediction: A Systematic Review and Meta-Analysis

Purpose The application of machine learning (ML) to osteoporosis prediction has expanded rapidly, yet no comprehensive meta-analysis has synthesized t...

VideoCap: Enabling REDCap as a Tool for Crowdsourced Multimedia-Labeling Research

Objective: Machine learning systems that use video data require large, diverse, human-labeled datasets, but generating reliable annotations remains la...

Unraveling Machine Behavior by Multi-Level Bias Analysis and Detection: Methodology and Application to Computer Vision

This study investigates the presence and propagation of bias within Neural Networks through a comprehensive multi-level analysis spanning the learned ...

A Quiet Failure in Calibrated Virtual Screening: Marginal Conformal Prediction Under-Covers the Minority Class, and a Class-Conditional Fix Recovers It

Conformal prediction is being adopted in drug discovery to put an honest number on model reliability: pick an error rate alpha, and the method returns...

Onnes: A Physics-Grounded Multi-Agent LLM Simulator for Cryogenic Fault Diagnosis in Quantum Computing Infrastructure

Dilution refrigerators are the enabling infrastructure of superconducting quantum computers, yet their fault diagnosis is still dominated by threshold...

VaseMuseum: Digital Intelligent Museum for Ancient Greek Pottery

Vision-language models (VLMs) have made interactive digital museums increasingly feasible by connecting 3D digitization with natural-language artifact...

RAF: Reliability-Aware Fusion of Camera, LiDAR, and 4D RADAR for Robust 3D Object Detection in Adverse Weather

Robust 3D object detection in adverse weather conditions is challenging due to sensor limitations. Although combining complementary modalities such as...

Unsupervised Detection of Underground Tunnels in Ground-Penetrating Radar Using Depth-Restricted Reconstruction Scoring

Clandestine tunneling beneath oil and gas pipelines enables fuel theft, smuggling, and sabotage, yet conventional monitoring detects damage only after...

ReCal3R: Reliability-Calibrated Learning Rates for Streaming 3D Reconstruction

Streaming 3D reconstruction relies on a compact recurrent scene state to process long image streams in linear time and bounded memory. However, repeat...

Benchmarking large language models for ACMG/AMP variant interpretation and variant calling

Agentic large language models are increasingly used across the genomic workflow, from variant calling to clinical interpretation, yet they are evaluat...

Human In the Loop Challenges for Quality Annotation of Pre-Cancer Lesions in Clinical Oral Images

Background: The hyperplasia and dysplasia stage (pre-cancer) offers a viable opportunity to reduce the incidence and mortality of oral cancer through ...

Combined triglyceride-glucose and frailty index (TyGFI) and risk of endometrial cancer in U.S. women aged >=45: NHANES 2011-2018 analysis integrating data engineering and machine learning with logistic modeling

Endometrial cancer (EC) incidence is closely linked to metabolic and hormonal factors. The TyGFI, a composite indicator integrating the triglyceride-g...

Shared Pain, Shared Decisions: How Empathy Shapes Social Conformity Through Physiology and Visual Attention

Empathy enables individuals to attune to others' experiences through shared affective, sensorimotor, and neural representations, but its influence on ...

Adaptive Group-Based Counterfactual Explanations for Time-Series Rehabilitation Data

Counterfactual explanations (CEs) for multivariate time-series classifiers are often difficult to interpret in domains where experts reason in terms o...