Area Under The Receiver Operating Characteristic Curve

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8 papers in the last four weeks, against 2 the four weeks before. 0.1% of all new papers.

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  1. MIRTO: a registration-gated, multiverse-tested evaluation protocol for unsupervised anomaly segmentation in brain MRI

    Oct 1, 2026Negin Kafee Hernashki, Soumick ChatterjeeFunctional Magnetic Resonance ImagingGraph Anomaly Detection

    Università degli Studi di Milano, Milan, Italy · Politecnico di Milano, Milan, Italy · Human Technopole, Milan, Italy +1

  2. Ranking-Aware Prompt Optimization for Multimodal Clinical Diagnosis

    Sep 30, 2026Tian Xia, Minghao Liu, Yiqing Liang +2Multimodal Clinical DataMultimodal Large Language Models

    Harvard University · University of California, Santa Cruz · Brown University +2

  3. Evaluation Choices Shape Biomedical ML Claims: A Pediatric Pneumonia Benchmark Case Study

    Sep 29, 2026Bhanu Prakash Vangala, Sowmya Guda, Latha Peddi +1Area Under The Receiver Operating Characteristic CurveDecision Thresholds

    University of Missouri · Government Degree College · Amar Bio Tech Pvt Ltd

  4. Evaluating Multi-Task Morphological Concept Learning for Pulmonary Nodule Malignancy Assessment in 3D CT

    Sep 29, 2026Namitha NarayananLung-Nodule Artificial IntelligenceCone-Beam Computed Tomography

    Independent Researcher, Kerala, India

  5. Anomaly-Free Self-Optimization via AUC Bounds

    Sep 23, 2026Kevin Wilkinghoff, Zheng-Hua TanAnomaly ScoreGraph Anomaly Detection

    Department of Electronic Systems, Aalborg University, Denmark · Pioneer Centre for AI, Denmark

  6. Can We Predict Anomaly Detection Performance from Embedding-Space Geometry?

    Sep 22, 2026Kevin Wilkinghoff, Zheng-Hua TanArea Under The Receiver Operating Characteristic CurveDetection Performance

    Department of Electronic Systems, Aalborg University, Denmark · Pioneer Centre for Artificial Intelligence, Denmark

  7. Leveraging Cardiac Imaging to Improve ECG-Based Detection of Chagas Disease in Resource-Constrained Settings

    Sep 8, 2026Laura Alvarez-Florez, Daniel Uyterlinde, Samuel Ruipérez-Campillo +3Electrocardiogram Foundation ModelsCardiac Magnetic Resonance Imaging

    Department of Biomedical Engineering and Physics, Amsterdam University Medical Center, The Netherlands · Quantitative Healthcare Analysis Group, University of Amsterdam, The2026 Netherlands · Department of Clinical and Experimental Cardiology, Amsterdam University Medical Center, The Netherlands +2

  8. Prevalence calibration as shortcut mitigation

    Sep 7, 2026Mohamed Amine Kina, Eike PetersenShortcut LearningPrevalence

    Universität Bremen, Bremen, Germany · Fraunhofer Institute for Digital Medicine MEVIS, Bremen, Germany

  9. Two tests of phase-structure features for transition prediction

    Aug 31, 2026Abraham ChachamovitsArea Under The Receiver Operating Characteristic CurveContradiction

    ENTRUST AI

  10. RadFusion: Towards Threshold-Controllable Radiology Report Generation

    Aug 11, 2026Ying Jin, Noel C. F. Codella, John Corring +3Radiology Report GenerationReport

    Microsoft

  11. Federated Attention Autoencoders with a Stochastic Aggregation Scheme for Anomaly Detection

    Aug 9, 2026Mihailo Ilić, Miloš Savić, Vladimir Kurbalija +3Federated LearningGraph Anomaly Detection

    Department of Mathematics and Informatics, Faculty of Sciences, University of Novi Sad, Serbia · Department of Informatics, Modeling, Electronics, and Systems, University of Calabria, Italy

  12. Keep the Needle, Prune the Haystack: Defect-Preserving Token Pruning for Efficient Zero-Shot Anomaly Detection

    Aug 4, 2026Yanning Hou, Jingyuan Zhang, Xiaoyun Wang +3Multimodal Anomaly DetectionVisual Token Pruning

    2National University of Defense Technology, Changsha, China · 1Anhui University, Hefei, China

  13. Bigger or Cheaper? Scale and Quantization Effects on Uncertainty Signals in Vision-Language Models Under Image Degradation

    Jul 27, 2026M M Asif FerdousLarge Language Model UncertaintyQuantized

    Independent Researcher

  14. An Insight on Evaluation Metrics Under the Imbalanced Case of Anomaly Detection

    Jul 24, 2026Romain Hermary, Nesryne Mejri, Djamila AouadaAnomaly ScoreGraph Anomaly Detection

    CVI2, University of Luxembourg Luxembourg, Luxembourg

  15. What Softmax Throws Away: Mass-Aware Attention for Evidence Accumulation

    Jul 24, 2026Minwoo Yu, Young-guk HaLinear AttentionTemporal Graph Neural Networks

    Smart Computing Laboratory, Department of Computer Science & Engineering, Konkuk University, Seoul 05029, Republic of Korea.

  16. Bayesian uncertainty estimation improves clinical decision making in medical AI agents

    Jul 22, 2026Frederik Hauke, Patrick Wienholt, Christiane Kuhl +4Clinical Decision SupportUncertainty

    Department of Diagnostic and Interventional Radiology, University Hospital RWTH Aachen, Aachen, Germany. · Department of Medical Oncology, National Center for Tumor Diseases (NCT), Heidelberg University Hospital, Heidelberg, Germany. · Else Kröner Fresenius Center for Digital Health, TU Dresden, Dresden, Germany. +1

  17. Continuously Evolving Deepfake Detection: An Architecture and Public-Benchmark Evaluation of a Dynamic Detection System

    Jul 14, 2026Ken Jon Miyachi, Dylan UysDeepfake DetectionDigital Forensics

    BitMind

  18. MMA-Former: Multi-Window Mixture-of-Head Attention Transformer for Adaptive PNI Prediction in 3D MRI

    Jul 13, 2026Youngung Han, Induk Um, Kyeonghun Kim +9Magnetic Resonance ImagingCholangiocarcinoma

    Seoul National University, Seoul, Republic of Korea · Chung-Ang University, Seoul, Republic of Korea · OUTTA, Seoul, Republic of Korea +3

  19. Did We Actually Fix It? An Independent Adversarial Stress-Test of Post-Point-Adjustment Evaluation Metrics for Time-Series Anomaly Detection

    Jul 12, 2026Zongye LyuTime-Series Anomaly DetectionArea Under The Receiver Operating Characteristic Curve

    Faculty of Information Technology, Monash University, Melbourne, VIC 3800, Australia

  20. Multi-Stream Temporal Fusion for Financial Fraud Detection

    Jun 23, 2026Mohammadamin Dashti Moghaddam, Nick SciarrilliFraud DetectionMulti-Stream Temporal Fusion

    Amazon Web Services

  21. When AUC 0.998 Is Not Enough: A Candidate Evaluation Protocol for Hidden-State Probes of Indirect Prompt Injection in Multimodal Computer-Use Agents

    Jun 22, 2026Yanhang Li, Zhichao Fan, Zexin ZhuangIndirect Prompt InjectionMultimodal Evaluation

    Northeastern University Boston, Massachusetts, USA · University of Illinois Urbana-Champaign Urbana, Illinois, USA · Southern Methodist University Dallas, Texas, USA

  22. Anticipating the Optimism Gap: Predicting Distribution-Shift Degradation of RF-Impairment Detectors from In-Distribution Statistics

    Jun 20, 2026Chakshu BawejaIn-DistributionArea Under The Receiver Operating Characteristic Curve

    Ashforde OÜ

  23. How Fragile Are Training-Free AI-Generated Image Detectors? A Controlled Audit of Score Direction, Preprocessing, and Compression

    Jun 18, 2026Jingwen Zhou, Mingzhe WangAi-Generated Image DetectionUnsupervised Detection

    Xidian University, Xi’an, China

  24. Reliability-Aware Prototype Calibration for Frozen Pose-Flow Video Anomaly Detection

    Jun 18, 2026Ning Dong, Yingna Su, Xin Dong +3Training-Free Video Anomaly DetectionArea Under The Receiver Operating Characteristic Curve

    School of Information Engineering Suqian University Suqian, China · School of Computer Science and Engineering University of Electronic Science and Technology of China Chengdu, China · Institute for Advanced Studies Universiti Malaya Kuala Lumpur, Malaysia

  25. Scoring Backends Matter More Than Pooling: A Systematic Study of Training-Free Anomalous Sound Detection under Domain Shift

    Jun 17, 2026Jingwen Zhou, Mingzhe WangAnomaly ScoreArea Under The Receiver Operating Characteristic Curve

    Xidian University, Xi’an, China

  26. When AUC Misleads: Polarization-Aware Evaluation of Deepfake Detectors under Domain Shift

    Jun 17, 2026Dat Nguyen, Cosmin Radoi, Romain Hermary +4Deepfake DetectionArea Under The Receiver Operating Characteristic Curve

    CVI2, SnT, University of Luxembourg · Cristal Laboratory, National School of Computer Sciences, University of Manouba

  27. Recovering Stranded Discrimination in Knowledge Tracing: Per-Item Bias Correction via Empirical-Bayes Shrinkage

    Jun 12, 2026Xiaoran Yan, Cheng Tang, Atsushi ShimadaLogit LensUncertainty Score

    Kyushu University, Fukuoka, Japan

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

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

    Department of Health Outcomes and Biomedical Informatics, University of Florida, 2004 Mowry Road, Gainesville, 32611, FL, USA · Department of Biostatistics and Health Data Science, Indiana University School of Medicine, 340 West 10th Street, Indianapolis, 46202, IN, USA · Center of Biomedical Informatics, 1101 W 10th St, Indianapolis, Indianapolis, 46202, IN, USA +1

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

    May 29, 2026Ali KargarandehkordiWearable PhysiologyWearable Devices

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

    May 27, 2026Jungwook Seo, Minjeong Kim, Younkwan Lee +2Graph LaplaciansNonconformity Scores

    Dept. of Artificial Intelligence, Hanyang University · Global Technology Research, Samsung Electronics · Dept. of Data Science, Hanyang University

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

    May 27, 2026Sachin KumarDeceptionModel Activations

    LexisNexis, USA

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

    May 26, 2026Sirojbek Safarov, Jaewoo Park, Yoon Gyo Jung +4Graph Anomaly DetectionArea Under The Receiver Operating Characteristic Curve

    AIVEX Inc. · Northeastern University · Mitsubishi Electric Research Laboratories (MERL).

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

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

    School of Electrical Engineering and Robotics, Faculty of Engineering, −Queensland University of Technology, Brisbane, Queensland, Australia

  34. 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 LabelsArea Under The Receiver Operating Characteristic Curve

    Department of Computer Science, Stanford University, Stanford, CA, USA · Mayo Clinic, Rochester, MN, USA.

  35. ROC Analysis for Evaluating Translation Quality Estimation Systems

    May 23, 2026Evelyn Y. Garland, Carola F. BergerQuantifyingArea Under The Receiver Operating Characteristic Curve

    Acta Language Services, LLC · CFB Scientific Translations LLC

  36. 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 +1Probe-Logit DistillationTime Series Forecasting

    aDepartment of Chemical Engineering, Norwegian University of Science and Technology2026 (NTNU), Trondheim, Norway · bDepartment of Computing, Imperial College London, London, United Kingdom

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

    May 6, 2026Yuxuan Chen, Arianna Bunnell, Yanqi Xu +4MammographyArea Under The Receiver Operating Characteristic Curve

    aPerlmutter Cancer Center, NYU Langone Health, New York, NY, USA · cUniversity of Hawai’i Cancer Center, Honolulu, HI, USA · dUniversity of Hawai’i at M¯anoa, Honolulu, HI, USA +3

  38. Evidence-based anomaly detection in clinical domains

    May 6, 2026Milos Hauskrecht, Michal Valko, Branislav Kveton +2Graph Anomaly DetectionBayesian Networks

    Computer Science Department; 2 Intelligent Systems Program; 3 Department of Biomedical Informatics, University of Pittsburgh, PA · Intelligent Systems Program; 3 Department of Biomedical Informatics, University of Pittsburgh, PA

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

    May 4, 2026Ahmed CherifHallucination DetectionHallucination Mitigation

    1Sofrecom Tunisia, Orange Innovation, Tunis, 1053, Tunisia.

  40. 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 CurveProbabilistic Model

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

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

    School of Information Engineering, Sichuan University, China

  42. 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

    School of Automation, Southeast University, Nanjing, China

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

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

    Independent Researcher, Melbourne, Australia

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

    Apr 16, 2026Xuanli He, Bilgehan Sel, Faizan Ali +3Text2CypherCoherence

    University College London · Virginia Tech · Anthropic

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

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

    National Key Laboratory for Novel Software Technology, Nanjing University, China · School of Artificial Intelligence, Nanjing University, China

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

    Date pendingSara Abdulaziz, Egor BondarevTraining-Free Video Anomaly DetectionFine-Grained Video Understanding

    Eindhoven University of Technology, 5612 AE Eindhoven, Netherlands