Area Under The Receiver Operating Characteristic Curve

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Period ending 2026-09-14

7 new papers

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Period ending 2026-09-07

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102 papers

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  1. What Demonstration Curation Metrics Do to Your Policy

    Jun 8, 2026Aarav BediData-CurationBehavior Cloning

  2. Structural Grid Descriptors Predict Within-Task Solver Success on ARC-AGI

    Jun 8, 2026Ayan PendharkarFuture Llm-Assisted Solver DevelopmentSolvers

  3. Cheap Reward Hacking Detection

    Jun 8, 2026Iván Belenky, Joaquín Itria, Steven JohnsExploitationEncoding Models

  4. Multi-Granularity 3D Kidney Lesion Characterization from CT Volumes

    Jun 3, 2026Renjie Liang, Zhengkang Fan, Jinqian Pan +4Lesion SegmentationChronic Kidney Disease

  5. A Hybrid Approach For Malware Classification Using Secondary Features Fusion

    Jun 2, 2026Raja Khurram Shahzad, Muhammad Mustaqeem, Haroon ElahiMalware ClassificationMalware Families

  6. Transferable Self-Harm Surveillance from Emergency Department Triage Notes Using an Evidence-Augmented Machine Learning Approach

    Jun 1, 2026Liuliu Chen, Gowri Rajaram, Eleanor Bailey +5Suicide RiskTriage

  7. Adaptive data selection improves wearable prediction under low baseline performance

    May 29, 2026Ali KargarandehkordiWearable DevicesEfficient Data Selection

  8. Anomaly as Non-Conformity via Training-Free Graph Laplacian Energy Minimization

    May 27, 2026Jungwook Seo, Minjeong Kim, Younkwan Lee +2AnomalyAnomaly Detection

  9. ATLAS: All-round Testing of Long-context Abilities across Scales

    May 27, 2026Deli Huang, Cunguang Wang, Hongyin Tang +15Efficient Long-Context InferenceProfiling

  10. Pressure-Testing Deception Probes in LLMs: Scaling, Robustness, and the Geometry of Deceptive Representations

    May 27, 2026Sachin KumarDeceptionArea Under The Receiver Operating Characteristic Curve

  11. Memory-Distilled Selection for Noise-Robust Anomaly Detection

    May 26, 2026Sirojbek Safarov, Jaewoo Park, Yoon Gyo Jung +4Multimodal Industrial Anomaly DetectionAnomaly Detection

  12. When Rule Violations Are Rare: Chimera Training for Logical Anomaly Detection

    May 25, 2026Alejandro Ascarate, Leo Lebrat, Rodrigo Santa Cruz +2Anomaly DetectionUnsupervised Detectors

  13. From Theory to Decision Rule: Calibrating the Noisy-Label Crossover for Vision-Language Model Weak Supervision Across Three Medical-Imaging Benchmarks

    May 23, 2026Bruce Changlong Xu, Jose James, Alexander RyuNoisy LabelsMedical Vision-Language Models

  14. ROC Analysis for Evaluating Translation Quality Estimation Systems

    May 23, 2026Evelyn Y. Garland, Carola F. BergerMachine Translation QualityAuc-Roc

  15. Worst-Group Equalized Odds Regularization for Multi-Attribute Fair Medical Image Classification

    May 19, 2026Nikhil Cherian Kurian, Victor Caquilpan Parra, Abin Shoby +6Fairness-Aware LearningExtreme Class Imbalance

  16. Dual-Channel Tensor Neural Networks: Finite-Sample Theory and Conformal Structure Selection

    May 18, 2026Elynn Chen, Jiayu Li, Zheshi Zheng +1Low-Rank Tensor DecompositionTensor

  17. UTOPYA: A Multimodal Deep Learning Framework for Physics-Informed Anomaly Detection and Time-Series Prediction

    May 18, 2026Robson W. S. Pessoa, Julien Amblard, Alessandra Russo +1Anomaly DetectionGraph Anomaly Detection

  18. Confidence Geometry Reveals Trace-Level Correctness in Large Language Model Reasoning

    May 16, 2026Shuo Liu, Ding Liu, Shi-Ju RanLLM Reasoning MethodsConfidence Estimation

  19. Interpretable Machine Learning for Antepartum Prediction of Pregnancy-Associated Thrombotic Microangiopathy Using Routine Longitudinal Laboratory Data

    May 13, 2026Chuanchuan Sun, Zhen Yu, Qin Fan +2Chronic Kidney DiseaseArea Under The Receiver Operating Characteristic Curve

  20. Compact Latent Manifold Translation: A Parameter-Efficient Foundation Model for Cross-Modal and Cross-Frequency Physiological Signal Synthesis

    May 13, 2026Bo Cui, Xiaowen Song, Yaowen Zhang +4Physiological SignalsElectronic Health Record Foundation Models

  21. Decomposing the Generalization Gap in PROTAC Activity Prediction: Variance Attribution and the Inter-Laboratory Ceiling

    May 12, 2026Thor Klamt, Wolfgang Nejdl, Ming TangDrug DesignProtein

  22. Content-Aware Attack Detection in LLM Agent Tool-Call Traffic: An Empirical Study of Features, Architectures, and Evaluation Protocols

    May 11, 2026Sultan ZavrakArtificial Intelligence DetectionLanguage Model Evasion Attacks

  23. ReTAMamba: Reliability-Aware Temporal Aggregation with Mamba for Irregular Clinical Time Series Prediction

    May 11, 2026Jinwoong Kim, Sangjin ParkTime SeriesMamba

  24. MatryoshkaLoRA: Learning Accurate Hierarchical Low-Rank Representations for LLM Fine-Tuning

    May 8, 2026Ionut-Vlad Modoranu, Mher Safaryan, Dan AlistarhLow-Rank AdaptersMatryoshka Representation Learning

  25. RELO: Reinforcement Learning to Localize for Visual Object Tracking

    May 8, 2026Xin Chen, Chuanyu Sun, Jiao Xu +4Multi-Object TrackingLocalization

  26. Hallucination Detection via Activations of Open-Weight Proxy Analyzers

    May 8, 2026Akshita Singh, Prabesh Paudel, Siddhartha RoyLarge Language Model HallucinationHallucination Detection

  27. External Validation of Deep Learning Models for BI-RADS Breast Density Prediction from Ultrasound Images

    May 6, 2026Yuxuan Chen, Arianna Bunnell, Yanqi Xu +4MammographyAuc-Roc

  28. Intermediate Representations are Strong AI-Generated Image Detectors

    May 5, 2026Zhenhan Huang, Pin-Yu Chen, Tejaswini Pedapati +1Ai-Generated Image DetectionAi-Generated Images

  29. Two Calls, Two Moments, and the Vote-Accuracy Curve of Repeated LLM Inference

    May 5, 2026Yi LiuCorrectnessLLM Inference Efficiency

  30. HalluScan: A Systematic Benchmark for Detecting and Mitigating Hallucinations in Instruction-Following LLMs

    May 4, 2026Ahmed CherifHallucination DetectionMitigating Hallucinations

  31. Beyond ECE: Calibrated Size Ratio, Risk Assessment, and Confidence-Weighted Metrics

    May 3, 2026Fernando Martin-Maroto, Nabil Abderrahaman, Gonzalo G. de PolaviejaConfidence CalibrationOverconfidence

  32. A Review of the Receiver Operating Characteristic Curve and a Proof About the Area Beneath It

    Apr 30, 2026Steven RedolfiArea Under The Receiver Operating Characteristic CurveCurves

  33. Entropy-Dominated Temporal Vocal Dynamics as Digital Biomarkers for Depression Detection

    Apr 29, 2026Himadri S SamantaDepressionBiomarker

  34. Rethinking Cross-Domain Evaluation for Face Forgery Detection with Semantic Fine-grained Alignment and Mixture-of-Experts

    Apr 23, 2026Yuhan Luo, Tao Chen, Decheng LiuFace Forgery DetectionCross-Dataset Benchmark

  35. Feature Perturbation Pool-based Fusion Network for Unified Multi-Class Industrial Defect Detection

    Apr 21, 2026Yuanchan Xu, Wenjun Zang, Ying WuDefect DetectionFeature Pyramid Networks

  36. Industrial Surface Defect Detection via Diffusion Generation and Asymmetric Student-Teacher Network

    Apr 21, 2026Shuo Feng, Runlin Zhou, Yuyang Li +1Defect DetectionDenoising Diffusion Probabilistic Model

  37. Latent Phase-Shift Rollback: Inference-Time Error Correction via Residual Stream Monitoring and KV-Cache Steering

    Apr 20, 2026Manan Gupta, Dhruv KumarError CorrectionResidual Stream

  38. Concurrent Criterion Validation of a Validity Screen for LLM Confidence Signals via Selective Prediction

    Apr 20, 2026Jon-Paul CacioliConstruct ValidityArea Under The Receiver Operating Characteristic Curve

  39. Segment-Level Coherence for Robust Harmful Intent Probing in LLMs

    Apr 16, 2026Xuanli He, Bilgehan Sel, Faizan Ali +3Model ActivationsCoherence

  40. ACES: Who Tests the Tests? Leave-One-Out AUC Consistency for Code Generation

    Apr 5, 2026Hui Sun, Yun-Ji Zhang, Zheng Xie +4Test GenerationAI Code Generation

  41. Differential privacy representation geometry for medical image analysis

    Mar 1, 2026Soroosh Tayebi Arasteh, Marziyeh Mohammadi, Sven Nebelung +1Area Under The Receiver Operating Characteristic Curve

  42. Auditing Frame-Level AUC in Weakly Supervised Video Anomaly Detection: Granularity, Resolution, and Scene Bias

    Date pendingSara Abdulaziz, Egor BondarevVideo Anomaly DetectionFine-Grained Video Understanding