Evaluation: from precision, recall and F-measure to ROC, informedness, markedness and correlation | Paper Citation Record

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Direction for Detection: A Survey of Automated Vulnerability Detection and all of its Pain Points cites this paper.

Direction for Detection: A Survey of Automated Vulnerability Detection and all of its Pain Points Evaluation: from precision, recall and F-measure to ROC, informedness, markedness and correlation

Reference 138

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Grounding Text-to-Image Diffusion Models for Controlled High-Quality Image Generation cites this paper.

Grounding Text-to-Image Diffusion Models for Controlled High-Quality Image Generation Evaluation: from precision, recall and F-measure to ROC, informedness, markedness and correlation

Reference 44

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Hybrid Deep Learning Model for epileptic seizure classification by using 1D-CNN with multi-head attention mechanism cites this paper.

Hybrid Deep Learning Model for epileptic seizure classification by using 1D-CNN with multi-head attention mechanism Evaluation: from precision, recall and F-measure to ROC, informedness, markedness and correlation

Reference 33

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Quantum Pattern Detection: Accurate State- and Circuit-based Analyses cites this paper.

Quantum Pattern Detection: Accurate State- and Circuit-based Analyses Evaluation: from precision, recall and F-measure to ROC, informedness, markedness and correlation

Reference 32

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Lost in Edits? A $\lambda$-Compass for AIGC Provenance cites this paper.

Lost in Edits? A $\lambda$-Compass for AIGC Provenance Evaluation: from precision, recall and F-measure to ROC, informedness, markedness and correlation

Reference 9

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Exoplanet Transit Candidate Identification in TESS Full-Frame Images via a Transformer-Based Algorithm cites this paper.

Exoplanet Transit Candidate Identification in TESS Full-Frame Images via a Transformer-Based Algorithm Evaluation: from precision, recall and F-measure to ROC, informedness, markedness and correlation

Reference 48

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A Framework for Multi-View Multiple Object Tracking using Single-View Multi-Object Trackers on Fish Data cites this paper.

A Framework for Multi-View Multiple Object Tracking using Single-View Multi-Object Trackers on Fish Data Evaluation: from precision, recall and F-measure to ROC, informedness, markedness and correlation

Reference 16

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A Novel Convolutional Neural Network-Based Framework for Complex Multiclass Brassica Seed Classification cites this paper.

A Novel Convolutional Neural Network-Based Framework for Complex Multiclass Brassica Seed Classification Evaluation: from precision, recall and F-measure to ROC, informedness, markedness and correlation

Reference 19

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GETReason: Enhancing Image Context Extraction through Hierarchical Multi-Agent Reasoning cites this paper.

GETReason: Enhancing Image Context Extraction through Hierarchical Multi-Agent Reasoning Evaluation: from precision, recall and F-measure to ROC, informedness, markedness and correlation

Reference 21

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IKIWISI: An Interactive Visual Pattern Generator for Evaluating the Reliability of Vision-Language Models Without Ground Truth cites this paper.

IKIWISI: An Interactive Visual Pattern Generator for Evaluating the Reliability of Vision-Language Models Without Ground Truth Evaluation: from precision, recall and F-measure to ROC, informedness, markedness and correlation

Reference 62

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SWDL: Stratum-Wise Difference Learning with Deep Laplacian Pyramid for Semi-Supervised 3D Intracranial Hemorrhage Segmentation cites this paper.

SWDL: Stratum-Wise Difference Learning with Deep Laplacian Pyramid for Semi-Supervised 3D Intracranial Hemorrhage Segmentation Evaluation: from precision, recall and F-measure to ROC, informedness, markedness and correlation

Reference 35

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Benchmarking Unsupervised Strategies for Anomaly Detection in Multivariate Time Series cites this paper.

Benchmarking Unsupervised Strategies for Anomaly Detection in Multivariate Time Series Evaluation: from precision, recall and F-measure to ROC, informedness, markedness and correlation

Reference 64

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Absolute Evaluation Measures for Machine Learning: A Survey cites this paper.

Absolute Evaluation Measures for Machine Learning: A Survey Evaluation: from precision, recall and F-measure to ROC, informedness, markedness and correlation

Reference 49

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A Novel Data Augmentation Strategy for Robust Deep Learning Classification of Biomedical Time-Series Data: Application to ECG and EEG Analysis cites this paper.

A Novel Data Augmentation Strategy for Robust Deep Learning Classification of Biomedical Time-Series Data: Application to ECG and EEG Analysis Evaluation: from precision, recall and F-measure to ROC, informedness, markedness and correlation

Reference 27

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MAC: Masked Agent Collaboration Boosts Large Language Model Medical Decision-Making cites this paper.

MAC: Masked Agent Collaboration Boosts Large Language Model Medical Decision-Making Evaluation: from precision, recall and F-measure to ROC, informedness, markedness and correlation

Reference 49

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Physical Layer Authentication Based on Hierarchical Variational Auto-Encoder for Industrial Internet of Things cites this paper.

Physical Layer Authentication Based on Hierarchical Variational Auto-Encoder for Industrial Internet of Things Evaluation: from precision, recall and F-measure to ROC, informedness, markedness and correlation

Reference 37

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CS-Agent: LLM-based Community Search via Dual-agent Collaboration cites this paper.

CS-Agent: LLM-based Community Search via Dual-agent Collaboration Evaluation: from precision, recall and F-measure to ROC, informedness, markedness and correlation

Reference 41

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MVRS: The Multimodal Virtual Reality Stimuli-based Emotion Recognition Dataset cites this paper.

MVRS: The Multimodal Virtual Reality Stimuli-based Emotion Recognition Dataset Evaluation: from precision, recall and F-measure to ROC, informedness, markedness and correlation

Reference 85

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FoundationalECGNet: A Lightweight Foundational Model for ECG-based Multitask Cardiac Analysis cites this paper.

FoundationalECGNet: A Lightweight Foundational Model for ECG-based Multitask Cardiac Analysis Evaluation: from precision, recall and F-measure to ROC, informedness, markedness and correlation

Reference 41

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From Large Language Model Predicates to Logic Tensor Networks: Neurosymbolic Offer Validation in Regulated Procurement cites this paper.

From Large Language Model Predicates to Logic Tensor Networks: Neurosymbolic Offer Validation in Regulated Procurement Evaluation: from precision, recall and F-measure to ROC, informedness, markedness and correlation

Reference 13

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From Large Language Model Predicates to Logic Tensor Networks: Neurosymbolic Offer Validation in Regulated Procurement cites this paper.

From Large Language Model Predicates to Logic Tensor Networks: Neurosymbolic Offer Validation in Regulated Procurement Evaluation: from precision, recall and F-measure to ROC, informedness, markedness and correlation

Reference 12

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Harnessing Hyperbolic Geometry for Harmful Prompt Detection and Sanitization cites this paper.

Harnessing Hyperbolic Geometry for Harmful Prompt Detection and Sanitization Evaluation: from precision, recall and F-measure to ROC, informedness, markedness and correlation

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-10T22:25:49.102527Z

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Beyond Statistical Co-occurrence: Unlocking Intrinsic Semantics for Tabular Data Clustering cites this paper.

Beyond Statistical Co-occurrence: Unlocking Intrinsic Semantics for Tabular Data Clustering Evaluation: from precision, recall and F-measure to ROC, informedness, markedness and correlation

Reference 7

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Interpretable facial dynamics as behavioral and perceptual traces of deepfakes cites this paper.

Interpretable facial dynamics as behavioral and perceptual traces of deepfakes Evaluation: from precision, recall and F-measure to ROC, informedness, markedness and correlation

Reference 2

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HFS-TriNet: A Three-Branch Collaborative Feature Learning Network for Prostate Cancer Classification from TRUS Videos cites this paper.

HFS-TriNet: A Three-Branch Collaborative Feature Learning Network for Prostate Cancer Classification from TRUS Videos Evaluation: from precision, recall and F-measure to ROC, informedness, markedness and correlation

Reference 48

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Retrieval with Multiple Query Vectors through Anomalous Pattern Detection cites this paper.

Retrieval with Multiple Query Vectors through Anomalous Pattern Detection Evaluation: from precision, recall and F-measure to ROC, informedness, markedness and correlation

Reference 38

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Time series causal discovery with variable lags cites this paper.

Time series causal discovery with variable lags Evaluation: from precision, recall and F-measure to ROC, informedness, markedness and correlation

Reference 25

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Time series causal discovery with variable lags cites this paper.

Time series causal discovery with variable lags Evaluation: from precision, recall and F-measure to ROC, informedness, markedness and correlation

Reference 25

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Beyond Semantics: An Evidential Reasoning-Aware Multi-View Learning Framework for Trustworthy Mental Health Prediction cites this paper.

Beyond Semantics: An Evidential Reasoning-Aware Multi-View Learning Framework for Trustworthy Mental Health Prediction Evaluation: from precision, recall and F-measure to ROC, informedness, markedness and correlation

Reference 53

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CPEMH: An Agentic Framework for Prompt-Driven Behavior Evaluation and Assurance in Foundation-Model Systems for Mental Health Screening cites this paper.

CPEMH: An Agentic Framework for Prompt-Driven Behavior Evaluation and Assurance in Foundation-Model Systems for Mental Health Screening Evaluation: from precision, recall and F-measure to ROC, informedness, markedness and correlation

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AMAR: Lightweight Attention-Based Multi-User Activity Recognition from Wi-Fi CSI cites this paper.

AMAR: Lightweight Attention-Based Multi-User Activity Recognition from Wi-Fi CSI Evaluation: from precision, recall and F-measure to ROC, informedness, markedness and correlation

Reference 31

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Everywhere Valid Bounds on False Discovery Proportions in Conformal Inference cites this paper.

Everywhere Valid Bounds on False Discovery Proportions in Conformal Inference Evaluation: from precision, recall and F-measure to ROC, informedness, markedness and correlation

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Everywhere Valid Bounds on False Discovery Proportions in Conformal Inference cites this paper.

Everywhere Valid Bounds on False Discovery Proportions in Conformal Inference Evaluation: from precision, recall and F-measure to ROC, informedness, markedness and correlation

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Automated Detection of Urological Events in Bladder Pressure Signals with a Two-Stage Machine Learning Framework Validated on External Datasets cites this paper.

Automated Detection of Urological Events in Bladder Pressure Signals with a Two-Stage Machine Learning Framework Validated on External Datasets Evaluation: from precision, recall and F-measure to ROC, informedness, markedness and correlation

Reference 39

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Satisfiability Solving with LLMs: A Matched-Pair Evaluation of Reasoning Capability cites this paper.

Satisfiability Solving with LLMs: A Matched-Pair Evaluation of Reasoning Capability Evaluation: from precision, recall and F-measure to ROC, informedness, markedness and correlation

Reference 36

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Which Anatomy Matters Under Limited Labels? A Data-Efficient Anatomy-Aware Benchmark for Cardiac Pathology Prediction cites this paper.

Which Anatomy Matters Under Limited Labels? A Data-Efficient Anatomy-Aware Benchmark for Cardiac Pathology Prediction Evaluation: from precision, recall and F-measure to ROC, informedness, markedness and correlation

Reference 33

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Lung-R1: A Knowledge Graph-Guided LLM for Pulmonary Diagnostic Reasoning cites this paper.

Lung-R1: A Knowledge Graph-Guided LLM for Pulmonary Diagnostic Reasoning Evaluation: from precision, recall and F-measure to ROC, informedness, markedness and correlation

Reference 1

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Tail-Aware Adaptive-k: Query-Adaptive Context Selection for Retrieval-Augmented Generation cites this paper.

Tail-Aware Adaptive-k: Query-Adaptive Context Selection for Retrieval-Augmented Generation Evaluation: from precision, recall and F-measure to ROC, informedness, markedness and correlation

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A Deep Multiscale Neural Network for Accurate Neurological Disorder Detection from MRI Scans and Real-Time Web Deployment cites this paper.

A Deep Multiscale Neural Network for Accurate Neurological Disorder Detection from MRI Scans and Real-Time Web Deployment Evaluation: from precision, recall and F-measure to ROC, informedness, markedness and correlation

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A Deep Multiscale Neural Network for Accurate Neurological Disorder Detection from MRI Scans and Real-Time Web Deployment cites this paper.

A Deep Multiscale Neural Network for Accurate Neurological Disorder Detection from MRI Scans and Real-Time Web Deployment Evaluation: from precision, recall and F-measure to ROC, informedness, markedness and correlation

Reference 107

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Event Detection in Videos: A Framework for the Development of New Methods cites this paper.

Event Detection in Videos: A Framework for the Development of New Methods Evaluation: from precision, recall and F-measure to ROC, informedness, markedness and correlation

Reference 25

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PERSONAJUDGE: Simulating Individual Human Preference Judgments with Evaluator-Specific Demonstration Data cites this paper.

PERSONAJUDGE: Simulating Individual Human Preference Judgments with Evaluator-Specific Demonstration Data Evaluation: from precision, recall and F-measure to ROC, informedness, markedness and correlation

Reference 52

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Rethinking Clinical Relevance in Chest X-ray Machine Learning: How Evaluation References Define Performance cites this paper.

Rethinking Clinical Relevance in Chest X-ray Machine Learning: How Evaluation References Define Performance Evaluation: from precision, recall and F-measure to ROC, informedness, markedness and correlation

Reference 37

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From Unsupervised Subgroups to Hypothetical State-Intervention Policies: An Evaluation of Selected Subgrouping Methods in Observational Health Data cites this paper.

From Unsupervised Subgroups to Hypothetical State-Intervention Policies: An Evaluation of Selected Subgrouping Methods in Observational Health Data Evaluation: from precision, recall and F-measure to ROC, informedness, markedness and correlation

Reference 88

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