A Coefficient of Agreement for Nominal Scales

1960/04/01 by Jacob Cohen · 741 citations
Decision Sciences · #Reliability and Agreement in Measurement #Multi-Criteria Decision Making

paper · doi:10.1177/001316446002000104

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• A bot identification model and tool based on GitHub activity sequences
• Beyond kappa: A review of interrater agreement measures
• Moving towards Europe-wide freshwater restoration through model-based integration of policy objectives
• Revisiting Maturity Data: Using Oocyte Diameter and Gonadosomatic Index to Retroactively Apply a New Maturity Scale to Greenland Halibut ( Reinhardtius hippoglossoides )
• Deteção de estruturas permanentes a partir de dados de séries temporais Sentinel 1 e 2
• Building work engagement: A systematic review and meta‐analysis investigating the effectiveness of work engagement interventions
• MASH: A Multiplatform and Multimodal Annotated Dataset for Societal Impact of Hurricane
• Open-DeBias: Toward Mitigating Open-Set Bias in Language Models
• What does it mean to be European? How identity content shapes adolescent's views towards immigrants and support for the EU
• Liaozhai through the Looking-Glass: On Paratextual Explicitation of Culture-Bound Terms in Machine Translation
• Bridging science and society: Developing a citizen science biomonitoring approach for river ecosystems in Italy
• Identification of a 10-species microbial signature of inflammatory bowel disease by machine learning and external validation
• Examining the Influence of Different Inventories on Shallow Landslide Susceptibility Modeling: An Assessment Using Machine Learning and Statistical Approaches
• Comparison between Dense L-Band and C-Band Synthetic Aperture Radar (SAR) Time Series for Crop Area Mapping over a NISAR Calibration-Validation Site
• Could you teach new tricks to old dogs? An analysis of online communication of political leaders in Spanish regional elections
• Do 14–17-month-old infants use iconic speech and gesture cues to interpret word meanings?
• LLMs Behind the Scenes: Enabling Narrative Scene Illustration
• Consider the following: A pilot study of the effects of an educational television program on viewer perceptions of anthropogenic climate change and ocean acidification
• Environmental constraints shaping constituent order in emerging communication systems: Structural iconicity, interactive alignment and conventionalization
• A Machine Learning Framework for Predicting and Understanding the Canadian Drought Monitor
• Personality and prosocial behavior: A theoretical framework and meta-analysis.
• The double‐edged sword of CEO narcissism: A meta‐analysis of innovation and firm performance implications
• Addressing Failing Water Systems: A Qualitative Protocol for Intervention Research on Water Insecurity
• Different gazes and hands: Visual representations of causes and solutions of adolescent depression on Chinese state media social platforms
• Building a Pilot Software Quality-in-Use Benchmark Dataset
• TrueGradeAI: Retrieval-Augmented and Bias-Resistant AI for Transparent and Explainable Digital Assessments
• Do LLM Agents Know How to Ground, Recover, and Assess? A Benchmark for Epistemic Competence in Information-Seeking Agents
• ASSESS: A Semantic and Structural Evaluation Framework for Statement Similarity
• ReviewScore: Misinformed Peer Review Detection with Large Language Models
• Acoustic-based Gender Differentiation in Speech-aware Language Models
• Human-AI Narrative Synthesis to Foster Shared Understanding in Civic Decision-Making
• AutoSpec: An Agentic Framework for Automatically Drafting Patent Specification
• Reverse Engineering User Stories from Code using Large Language Models
• Beyond Similarity: Grounded Agentic Extraction and Expert-Adjudicated Evaluation of Intertextuality in Classical Chinese Histories
• Hallucination‐Free? Assessing the Reliability of Leading AI Legal Research Tools
• A Closer Look at Classification Evaluation Metrics and a Critical Reflection of Common Evaluation Practice
• Gender Discrimination in the Visual Representation of Athletes on the Official Instagram Accounts of Sports Federations in Indonesia
• Land Use and Land Cover Change in the Shafarood Watershed, Northern Iran (2000–2020): A Case Study Using Landsat Imagery and Support Vector Machine Classification
• A systematic review of echo chamber research: comparative analysis of conceptualizations, operationalizations, and varying outcomes
• Challenges in annotations by humans and LLMs: A case study of evaluative language
• Associations of Physician Empathy with Patient Anxiety and Ratings of Communication in Hospital Admission Encounters
• Open Security Benchmark: Towards Autonomous Enterprise Cyber Defense
• Consonant articulation accuracy in paediatric cochlear implant recipients
• GeDi: Simplifying Gene Set Distances for Enhanced Omics Interpretation in R/Bioconductor
• Large language models as first-pass filters for corpus annotation: semantic disambiguation of Galician pobo
• Continued use of retracted papers: Temporal trends in citations and (lack of) awareness of retractions shown in citation contexts in biomedicine
• Subjective assessment of adnexal masses with the use of ultrasonography: an analysis of interobserver variability and experience
• From pixels to peaks: integrating LiDAR and RGB drone imagery to map mussel spat on intertidal rocky shores
• The Chrysalis Effect
• Impact of schematic representations of road maps on pedestrian route planning
• Sentinel-2 satellite image application for establishing a coral reef distribution map in Bai Tu Long National Park, Quang Ninh Province, Vietnam
• Measuring and comparing the accuracy of species distribution models with presence–absence data
• How Sexual Consent is Portrayed in Sex Comics (Eromanga): A Content Analysis in Japan
• Assessing the Cross-Version Applicability of Java Library Vulnerability Exploits
• Comparing Clinical, Microbiological, and Genetic Definitions of Relapse in Patients With Subsequent Episodes of Methicillin-resistant Staphylococcus aureus Bone and Joint Infection
• Impact of interaction with an architectural example on design behavior in student teams
• Ictal emotional features in pediatric and young adult patients with frontal lobe epilepsy
• A custom‐built single‐channel in‐ear electroencephalography sensor for sleep phase detection: an interdependent solution for at‐home sleep studies
• The impact and return-on-investment of evidence-based practice in conservation and environmental management: A machine learning-assisted scoping review protocol
• Annotation of biological samples data to standard ontologies with support from large language models
• A systematic review and meta-analysis of interventions that target the intersection of body image and movement among girls and women
• The value of small forest fragments and urban tree canopy for Neotropical migrant birds during winter and migration seasons in Latin American countries: A systematic review
• Evaluating ChatGPT, Gemini and other Large Language Models (LLMs) in orthopaedic diagnostics: A prospective clinical study
• Integrating climate indices and land use practices for comprehensive drought monitoring in Syria: Impacts and implications
• Reusability of Bayesian Networks case studies: a survey
• The impact of rapport on intelligence yield: police source handler telephone interactions with covert human intelligence sources
• Examining item content across nine psychological (in)flexibility scales: What do they measure?
• The effect of reward value on the performance of long-tailed macaques (Macaca fascicularis) in a delay of gratification exchange task
• Demographically-Inspired Query Variants Using an LLM
• Toward Understanding Free‐Flowing Manual Object Contact: Real‐Time Interaction Between Body Position and Object Type in 9‐Month‐Olds
• Machine learning-based ensemble species distribution models to guide monitoring and survey design for offshore wind
• Evidence on the effects of flame retardant substances at ecologically relevant endpoints: a systematic map protocol
• Clustering longitudinal data: comparison of model-based and distance-based approaches using simulated and real-world data in psychiatric research
• Machine learning predictive modelling for sediment risk indices within an urbanized river channel
• Evaluation of Remotely Sensed Inundation Data Sets to Estimate Flood‐Associated Emergency Department Visits After Hurricane Harvey
• Identifying suitable habitats under climate change for non-targeted demersal fish in the Mediterranean Sea
• Doctoral Education Trends: Content Analyses of Dissertations and Job Postings
• Uncertainty-driven ensembles of deep architectures for multiclass classification. Application to COVID-19 diagnosis in chest X-ray images
• Automatic sampling and training method for wood-leaf classification based on tree terrestrial point cloud
• Semixup: In- and Out-of-Manifold Regularization for Deep Semi-Supervised\n Knee Osteoarthritis Severity Grading from Plain Radiographs
• Telephone versus In-Person Clinical and Health Status Assessment Interviews in Patients with Bipolar Disorder
• Longitudinal Analysis of Discussion Topics in an Online Breast Cancer Community using Convolutional Neural Networks
• Advanced, Analytic, Automated (AAA) Measurement of Engagement During Learning
• MedFact: A Large-scale Chinese Dataset for Evidence-based Medical Fact-checking of LLM Responses
• Robustness and Reliability of Gender Bias Assessment in Word Embeddings: The Role of Base Pairs
• Psychometric properties of the EQ-5D-5L: a systematic review of the literature
• Mental Multi-class Classification on Social Media: Benchmarking Transformer Architectures against LSTM Models
• SciEvent: Benchmarking Multi-domain Scientific Event Extraction
• RulER: Automated Rule-Based Semantic Error Localization and Repair for Code Translation
• Position: Thematic Analysis of Unstructured Clinical Transcripts with Large Language Models
• A Study on Thinking Patterns of Large Reasoning Models in Code Generation
• Development of a Structured Psychiatric Interview for Children: Agreement Between Child and Parent on Individual Symptoms
• Annotating Training Data for Conditional Semantic Textual Similarity Measurement using Large Language Models
• Crash Report Enhancement with Large Language Models: An Empirical Study
• When Large Language Models Meet UAV Projects: An Empirical Study from Developers' Perspective
• Accelerating Discovery: Rapid Literature Screening with LLMs
• Determinants of Entrepreneurial Intent: A Meta–Analytic Test and Integration of Competing Models
• A New Statistical Approach for Comparing Algorithms for Lexicon Based Sentiment Analysis
• A Simple and Efficient Multi-Task Learning Approach for Conditioned Dialogue Generation
• Obsessive-Compulsive Personality Disorder Co-occurring in Individuals with Obsessive-Compulsive Disorder: A Systematic Review and Meta-analysis
• Interactive Task and Concept Learning from Natural Language Instructions and GUI Demonstrations
• Few-NERD: A Few-Shot Named Entity Recognition Dataset
• Measuring Whiteness: A Systematic Review of Instruments and Call to Action
• Ensemble Pruning via Margin Maximization
• LLM-as-a-Judge: Rapid Evaluation of Legal Document Recommendation for Retrieval-Augmented Generation
• An Attention-Based Deep Learning Approach for Sleep Stage Classification With Single-Channel EEG
• TREMO: A dataset for emotion analysis in Turkish
• Auto-Slides: An Interactive Multi-Agent System for Creating and Customizing Research Presentations
• Humanizing Automated Programming Feedback: Fine-Tuning Generative Models with Student-Written Feedback
• My Favorite Streamer is an LLM: Discovering, Bonding, and Co-Creating in AI VTuber Fandom
• Venture capitalists' decision criteria in new venture evaluation
• Textual misinformation on Reddit
• Examining teaching assistant pedagogies in traditional laboratories and recitations
• Calibrating MLLM-as-a-judge via Multimodal Bayesian Prompt Ensembles
• Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation
• An Alternative Measure of Effect Size for Cochran's Q Test for Related Proportions
• RADAR: A Reasoning-Guided Attribution Framework for Explainable Visual Data Analysis
• Fear of the coronavirus (COVID-19): Predictors in an online study conducted in March 2020
• What Were You Thinking? An LLM-Driven Large-Scale Study of Refactoring Motivations in Open-Source Projects
• GitHub Copilot AI pair programmer: Asset or Liability?
• MS2: Multi-Document Summarization of Medical Studies
• From Vision to Validation: A Theory- and Data-Driven Construction of a GCC-Specific AI Adoption Index
• Grader Variability and the Importance of Reference Standards for Evaluating Machine Learning Models for Diabetic Retinopathy
• What if I ask in alia lingua? Measuring Functional Similarity Across Languages
• Towards generalisable hate speech detection: a review on obstacles and solutions
• The Impact of Critique on LLM-Based Model Generation from Natural Language: The Case of Activity Diagrams
• Automatic evaluation of reading aloud performance in children
• Resilients, Overcontrollers, and Undercontrollers: The replicability of the three personality prototypes across informants
• StableSleep: Source-Free Test-Time Adaptation for Sleep Staging with Lightweight Safety Rails
• Understanding Architecture Erosion: The Practitioners' Perceptive
• DynaGuard: A Dynamic Guardian Model With User-Defined Policies
• ABCD-LINK: Annotation Bootstrapping for Cross-Document Fine-Grained Links
• Understanding Code Understandability Improvements in Code Reviews
• Flaw or Artifact? Rethinking Prompt Sensitivity in Evaluating LLMs
• Towards Emotional Support Dialog Systems
• Partial success in closing the gap between human and machine vision
• A Benchmark for Modeling Violation-of-Expectation in Physical Reasoning Across Event Categories
• Using technology in special education: current practices and trends
• Automated Test Validators for Flaky Cyber-Physical System Simulators: Approach and Evaluation
• Automated Quality Assessment for LLM-Based Complex Qualitative Coding: A Confidence-Diversity Framework
• Guidelines for Empirical Studies in Software Engineering involving Large Language Models
• Inference Gap in Domain Expertise and Machine Intelligence in Named Entity Recognition: Creation of and Insights from a Substance Use-related Dataset
• Multimodal Emotion-Cause Pair Extraction in Conversations
• Understanding the role of single‐board computers in engineering and computer science education: A systematic literature review
• Mapping Toxic Comments Across Demographics: A Dataset from German Public Broadcasting
• MAVEN: A Massive General Domain Event Detection Dataset
• Are Companies Taking AI Risks Seriously? A Systematic Analysis of Companies' AI Risk Disclosures in SEC 10-K forms
• M3HG: Multimodal, Multi-scale, and Multi-type Node Heterogeneous Graph for Emotion Cause Triplet Extraction in Conversations
• LiveMCP-101: Stress Testing and Diagnosing MCP-enabled Agents on Challenging Queries
• Toward Responsible ASR for African American English Speakers: A Scoping Review of Bias and Equity in Speech Technology
• Counterspeech for Mitigating the Influence of Media Bias: Comparing Human and LLM-Generated Responses
• Don't Think Twice! Over-Reasoning Impairs Confidence Calibration
• EmoTale: An Enacted Speech-emotion Dataset in Danish
• Temperature-Dependent Evolutionary Speed Shapes the Evolution of Biodiversity Patterns Across Tetrapod Radiations
• Real-Time Classification of Twitter Trends
• Improving K-12 Teachers’ Acceptance of Open Educational Resources by Open Educational Practices: A Mixed Methods Inquiry
• Towards Automatic Bot Detection in Twitter for Health-related Tasks
• Trouble when they walk in? Candidates, dark personality, and attack behavior in German televised debates
• The component structure of memory during development.
• Inter-rater Reliability of the Modified Japanese Orthopedic Association Score in Degenerative Cervical Myelopathy
• An interpretable semi-supervised classifier using two different\n strategies for amended self-labeling
• Defects4Log: Benchmarking LLMs for Logging Code Defect Detection and Reasoning
• Psychedelic therapy for smoking cessation: Qualitative analysis of participant accounts
• Clustering of Social Media Messages for Humanitarian Aid Response during Crisis
• Case study: Mapping potential informal settlements areas in Tegucigalpa\n with machine learning to plan ground survey
• Lost in Moderation: How Commercial Content Moderation APIs Over- and Under-Moderate Group-Targeted Hate Speech and Linguistic Variations
• Sensitivity toward dark matter annihilation imprints on 21-cm signal with SKA-Low: A convolutional neural network approach
• Planner-Refiner: Dynamic Space-Time Refinement for Vision-Language Alignment in Videos
• BharatBBQ: A Multilingual Bias Benchmark for Question Answering in the Indian Context
• The dire disregard of measurement invariance testing in psychological science.
• Alcohol‐cancer risk communication on social media: A content analysis of alcohol‐related Instagram and TikTok posts
• Clinical Utility of the Automatic Phenotype Annotation in Unstructured Clinical Notes: ICU Use Cases
• Examining the Association Between Internet Use and Perceived Stress in Adults: Longitudinal Observational Study Combining Web Tracking Data With Questionnaires
• Demystifying Feature Requests: Leveraging LLMs to Refine Feature Requests in Open-Source Software
• Scaling Success: A Systematic Review of Peer Grading Strategies for Accuracy, Efficiency, and Learning in Contemporary Education
• Understanding Inconsistent State Update Vulnerabilities in Smart Contracts
• Variable selection via knockoffs in missing data settings with categorical predictors
• Do Ethical AI Principles Matter to Users? A Large-Scale Analysis of User Sentiment and Satisfaction
• FineDialFact: A benchmark for Fine-grained Dialogue Fact Verification
• How Do LLMs Persuade? Linear Probes Can Uncover Persuasion Dynamics in Multi-Turn Conversations
• An Overview of 7726 User Reports: Uncovering SMS Scams and Scammer Strategies
• Finding Needles in Images: Can Multimodal LLMs Locate Fine Details?
• An ML-based Approach to Predicting Software Change Dependencies: Insights from an Empirical Study on OpenStack
• I Think, Therefore I Am Under-Qualified? A Benchmark for Evaluating Linguistic Shibboleth Detection in LLM Hiring Evaluations
• Beneath the Surface of the Sexual Harassment Label: A Mixed Methods Study of Young Working Women
• Fostering argumentative knowledge construction through enactive role play in Second Life
• Towards Transparent AI Grading: Semantic Entropy as a Signal for Human-AI Disagreement
• Are Today's LLMs Ready to Explain Well-Being Concepts?
• Explainable Deep Neural Network for Multimodal ECG Signals: Intermediate vs Late Fusion
• From App Features to Explanation Needs: Analyzing Correlations and Predictive Potential
• Argument Quality Annotation and Gender Bias Detection in Financial Communication through Large Language Models
• Psychological safety in software workplaces: A systematic literature review
• Understanding Prediction Discrepancies in Machine Learning Classifiers
• An Effective Entropy-assisted Mind-wandering Detection System with EEG Signals based on MM-SART Database
• Cross-lingual Opinions and Emotions Mining in Comparable Documents
• Understanding environmental tweets of for-profits and nonprofits and their effects on user responses
• PunchPulse: A Physically Demanding Virtual Reality Boxing Game Designed with, for and by Blind and Low-Vision Players
• A Confidence-Diversity Framework for Calibrating AI Judgement in Accessible Qualitative Coding Tasks
• EHSAN: Leveraging ChatGPT in a Hybrid Framework for Arabic Aspect-Based Sentiment Analysis in Healthcare
• Toward Using Machine Learning as a Shape Quality Metric for Liver Point Cloud Generation
• A Methodological Framework for LLM-Based Mining of Software Repositories
• MCeT: Behavioral Model Correctness Evaluation using Large Language Models
• NyayaRAG: Realistic Legal Judgment Prediction with RAG under the Indian Common Law System
• Robust Collaborative Learning of Patch-level and Image-level Annotations for Diabetic Retinopathy Grading from Fundus Image
• BigTokDetect: A Clinically-Informed Vision-Language Modeling Framework for Detecting Pro-Bigorexia Videos on TikTok
• Stakeholder engagement and dialogic accounting
• Helping or Homogenizing? GenAI as a Design Partner to Pre-Service SLPs for Just-in-Time Programming of AAC
• AgriEval: A Comprehensive Chinese Agricultural Benchmark for Large Language Models
• How Growing Toxicity Manifests: A Topic Trajectory Analysis of U.S. Immigration Discourse on Social Media
• Towards Recognizing Phrase Translation Processes: Experiments on English-French
• STARN-GAT: A Multi-Modal Spatio-Temporal Graph Attention Network for Accident Severity Prediction
• Named Entities in Medical Case Reports: Corpus and Experiments
• An Inventory of Preposition Relations
• A mixed method study of DevOps challenges
• A study on cost behaviors of binary classification measures in class-imbalanced problems
• Social perception in negotiation
• Causal relatedness and importance of story events
• What Makes Code Generation Ethically Sourced?
• RoD-TAL: A Benchmark for Answering Questions in Romanian Driving License Exams
• Using Under-trained Deep Ensembles to Learn Under Extreme Label Noise
• Schedule for Affective Disorders and Schizophrenia for School-Age Children-Present and Lifetime Version (K-SADS-PL): Initial Reliability and Validity Data
• ShEMO -- A Large-Scale Validated Database for Persian Speech Emotion\n Detection
• Significance Tests for the Measure of Raw Agreement
• Dutch General Public Reaction on Governmental COVID-19 Measures and Announcements in Twitter Data
• Multimodal Behavioral Patterns Analysis with Eye-Tracking and LLM-Based Reasoning
• Who shapes crisis communication on Twitter? An analysis of influential German-language accounts during the COVID-19 pandemic
• Multi-Year Evaluations of an FTA Card–Based Detection Protocol for Four Vector-Borne Viruses Affecting Potato
• Combining participatory and modeling approaches to investigate factors and drivers of soil erosion risk in mixed crop-livestock farms
• Neural networks with divisive normalization for image segmentation
• Validating telehealth assessment of physical concussion symptoms
• Beyond Accuracy: Ecological Validity of Machine Learning Models for Assessing Vegetation Conservation Classes in South Korea
• Systematic classification differences across eye movement detection algorithms
• Prevalence and Spirometric Transitions of PRISm and Obstruction: A Population‐Based Study
• A systematic review of latent class analysis in psychology: Examining the gap between guidelines and research practice
• Screening for REM Sleep Behaviour Disorder with Minimal Sensors
• CatSIM: A Categorical Image Similarity Metric
• Snow cover dynamics: an overlooked yet important feature of winter bird occurrence and abundance across the United States
• Hierarchical method for cataract grading based on retinal images using improved Haar wavelet
• The neural correlates of pain-related fear: A meta-analysis comparing fear conditioning studies using painful and non-painful stimuli
• Lexico-semantic and affective modelling of Spanish poetry: A semi-supervised learning approach
• What Should I Learn First: Introducing LectureBank for NLP Education and Prerequisite Chain Learning
• Don't forget your classics: Systematizing 45 years of Ancestry for Security API Usability Recommendations
• Review on Requirements Modeling and Analysis for Self-Adaptive Systems: A Ten-Year Perspective
• Evaluating the ability of habitat suitability models to predict species presences
• Policy-Grounded Safety Evaluation of 20 Large Language Models
• Assessing the Reliability of Large Language Models for Deductive Qualitative Coding: A Comparative Study of ChatGPT Interventions
• Assessing Post Deletion in Sina Weibo: Multi-modal Classification of Hot Topics
• From Text to Codings
• Reproducibility of Machine Learning-Based Fault Detection and Diagnosis for HVAC Systems in Buildings: An Empirical Study
• DRAFT-What you always wanted to know but could not find about block-based environments
• CPC-CMS: Cognitive Pairwise Comparison Classification Model Selection Framework for Document-level Sentiment Analysis
• Hallucination Score: Towards Mitigating Hallucinations in Generative Image Super-Resolution
• On the Effectiveness of LLM-as-a-judge for Code Generation and Summarization
• A framework for reliable traffic surrogate safety assessment based on multi-object tracking data
• A protocol for evaluating AI chatbots’ capabilities for low-resource language teachers
• Use of artificial intelligence to support the assessment of the methodological quality of systematic reviews
• Advancing Mental Disorder Detection: A Comparative Evaluation of Transformer and LSTM Architectures on Social Media
• Automatically assessing oral narratives of Afrikaans and isiXhosa children
• Towards Better Requirements from the Crowd: Developer Engagement with Feature Requests in Open Source Software
• Content Analysis in Mass Communication: Assessment and Reporting of Intercoder Reliability
• Temporal Stability of Heavy Drinking Days and Drinking Reductions Among Heavy Drinkers in the COMBINE Study
• Diagnostic reliability of the Semi-structured Assessment for Drug Dependence and Alcoholism (SSADDA)
• ANLIzing the Adversarial Natural Language Inference Dataset
• CD2CR: Co-reference Resolution Across Documents and Domains
• Meta‐analysis reveals that the effects of precipitation change on soil and litter fauna in forests depend on body size
• Novel Antischistosomal Drug Targets: Identification of Alkaloid Inhibitors of SmTGR via Integrated In Silico Methods
• Concordance between FVC and FEV 6 for identifying chronic airflow obstruction and spirometric restriction in the Burden of Obstructive Lung Disease (BOLD) study
• Macular OCT Classification Using a Multi-Scale Convolutional Neural Network Ensemble
• Security Smells in Ansible and Chef Scripts: A Replication Study
• A nonparametric Bayesian test of dependence
• Development of a qualitative data analysis codebook for peri‐ictal behavior in suspected functional seizures
• Tracking Sumatran Tiger (Panthera tigris sumatrae Pocock, 1929) distribution in Gunung Leuser National Park: The influence of prey presence and environmental variables on habitat selection
• Evaluation of Facebook as a Longitudinal Data Source for Parkinson’s Disease Insights
• A Dataset of General-Purpose Rebuttal
• Ranking Computer Vision Service Issues using Emotion
• Identifying Morality Frames in Political Tweets using Relational Learning
• Empirical studies of agile software development: A systematic review
• Mental Models of Adversarial Machine Learning
• Internal Value Alignment in Large Language Models through Controlled Value Vector Activation
• A training programme for early-stage researchers that focuses on\n developing personal science outreach portfolios
• Dr.Copilot: A Multi-Agent Prompt Optimized Assistant for Improving Patient-Doctor Communication in Romanian
• The Eighth Dialog System Technology Challenge
• Is Quantization a Deal-breaker? Empirical Insights from Large Code Models
• THAI Speech Emotion Recognition (THAI-SER) corpus
• From Research to Resources: Assessing Student Understanding and Skills in Quantum Computing
• ProactiveVideoQA: A Comprehensive Benchmark Evaluating Proactive Interactions in Video Large Language Models
• SPICE: An Automated SWE-Bench Labeling Pipeline for Issue Clarity, Test Coverage, and Effort Estimation
• Enhancing Essay Cohesion Assessment: A Novel Item Response Theory Approach
• Measuring Hypothesis Testing Errors in the Evaluation of Retrieval Systems
• Quantifying Uncertainty in Error Consistency: Towards Reliable Behavioral Comparison of Classifiers
• A proposal and assessment of an improved heuristic for the Eager Test smell detection
• EduCoder: An Open-Source Annotation System for Education Transcript Data
• Improving Label Quality by Jointly Modeling Items and Annotators
• A versatile index to characterize hysteresis between hydrological variables at the runoff event timescale
• WSCoach: Wearable Real-time Auditory Feedback for Reducing Unwanted Words in Daily Communication
• SymbolicThought: Integrating Language Models and Symbolic Reasoning for Consistent and Interpretable Human Relationship Understanding
• A Structured Learning Approach with Neural Conditional Random Fields for\n Sleep Staging
• Leveraging Information Technology Infrastructure to Facilitate a Firm's Customer Agility and Competitive Activity: An Empirical Investigation
• Intraclass Correlation Coefficient (ICC): A Framework for Monitoring and Assessing Performance of Trained Sensory Panels and Panelists
• Weakly Supervised Learning of Nuanced Frames for Analyzing Polarization in News Media
• An Investigation of Posttraumatic Stress Disorder and Depressive Symptomatology among Female Victimsof Interpersonal Trauma
• Sustainability Flags for the Identification of Sustainability Posts in Q&A Platforms
• Predicting the Transition from Short-term to Long-term Memory based on Deep Neural Network
• MedVAL: Toward Expert-Level Medical Text Validation with Language Models
• Sentinel SAR-optical fusion for crop type mapping using deep learning and Google Earth Engine
• Enhancing COBOL Code Explanations: A Multi-Agents Approach Using Large Language Models
• HCqa: Hybrid and Complex Question Answering on Textual Corpus and Knowledge Graph
• Evaluating the Effectiveness of Direct Preference Optimization for Personalizing German Automatic Text Simplifications for Persons with Intellectual Disabilities
• MRI can assess glenoid bone loss after shoulder luxation: inter- and intra-individual comparison with CT
• Recommending Variable Names for Extract Local Variable Refactorings
• Relevance of Unsupervised Metrics in Task-Oriented Dialogue for Evaluating Natural Language Generation
• Evaluating Lexicon-Based Sentiment Analysis Methods for Small Datasets on Low Compute Devices
• Development of a Framework for Youth- and Family-Specific Engagement in Research: Proposal for a Scoping Review and Qualitative Descriptive Study
• On Recipe Memorization and Creativity in Large Language Models: Is Your Model a Creative Cook, a Bad Cook, or Merely a Plagiator?
• Climate change-induced range shift of the endemic epiphytic lichenLobaria pindarensisin the Hindu Kush Himalayan region
• Learning from various labeling strategies for suicide-related messages on social media: An experimental study
• Evaluating and Improving Large Language Models for Competitive Program Generation
• On the limits of cross-domain generalization in automated X-ray prediction
• Accountability in Intervention Research: Developing a Fidelity Checklist of a Mental Health Intervention in Prisons
• Domain Knowledge in Artificial Intelligence: Using Conceptual Modeling to Increase Machine Learning Accuracy and Explainability
• Semantic Caching for Improving Web Affordability
• The International Caries Detection and Assessment System (ICDAS): an integrated system for measuring dental caries
• Magnetic Resonance Classification of Lumbar Intervertebral Disc Degeneration
• The reliability of the pass/fail decision for assessments comprised of multiple components
• See-in-Pairs: Reference Image-Guided Comparative Vision-Language Models for Medical Diagnosis
• Predictive modelling of football injuries
• LAION-C: An Out-of-Distribution Benchmark for Web-Scale Vision Models
• Identifying Explanation Needs: Towards a Catalog of User-based Indicators
• Understanding the Challenges and Promises of Developing Generative AI Apps: An Empirical Study
• PRISON: Unmasking the Criminal Potential of Large Language Models
• Specificity-Based Sentence Ordering for Multi-Document Extractive Risk Summarization
• Detecting Online Hate Speech Using Context Aware Models
• Essential-Web v1.0: 24T tokens of organized web data
• Reciprocal Relationships Between Parenting Behavior and Disruptive Psychopathology from Childhood Through Adolescence
• Accuracy assessment of land cover maps [wikipedia]
• Validity/reliability of PHQ-9 and PHQ-2 depression scales among adults living with HIV/AIDS in western Kenya. [europepmc]
• Radiographic evaluation of the hip has limited reliability. [europepmc]
• Reliability of a complication classification system for orthopaedic surgery. [europepmc]
• A comparison of Cohen's Kappa and Gwet's AC1 when calculating inter-rater reliability coefficients: a study conducted with personality disorder samples. [europepmc]
• Multidimensional in vivo hazard assessment using zebrafish. [europepmc]
• A review and meta-analysis of age-based stereotype threat: negative stereotypes, not facts, do the damage. [europepmc]
• Pictorial cigarette pack warnings: a meta-analysis of experimental studies. [europepmc]
• Metrics for evaluating 3D medical image segmentation: analysis, selection, and tool. [europepmc]
• Can mental health diagnoses in administrative data be used for research? A systematic review of the accuracy of routinely collected diagnoses. [europepmc]
• Utility of spherical human liver microtissues for prediction of clinical drug-induced liver injury. [europepmc]
• The relationship between physician burnout and quality of healthcare in terms of safety and acceptability: a systematic review. [europepmc]
• Empirical Comparison of Publication Bias Tests in Meta-Analysis. [europepmc]
• Best Practices for Developing and Validating Scales for Health, Social, and Behavioral Research: A Primer. [europepmc]
• Automated Gleason grading of prostate cancer tissue microarrays via deep learning. [europepmc]
• Agreement Between Prospective and Retrospective Measures of Childhood Maltreatment: A Systematic Review and Meta-analysis. [europepmc]
• Metascape provides a biologist-oriented resource for the analysis of systems-level datasets. [europepmc]
• Multitask learning and benchmarking with clinical time series data. [europepmc]
• Development and validation of a deep learning algorithm for improving Gleason scoring of prostate cancer. [europepmc]
• Understanding the care and support needs of older people: a scoping review and categorisation using the WHO international classification of functioning, disability and health framework (ICF). [europepmc]
• The advantages of the Matthews correlation coefficient (MCC) over F1 score and accuracy in binary classification evaluation. [europepmc]
• Promoting memory consolidation during sleep: A meta-analysis of targeted memory reactivation. [europepmc]
• Automatic diagnosis of the 12-lead ECG using a deep neural network. [europepmc]
• Fear of the coronavirus (COVID-19): Predictors in an online study conducted in March 2020. [europepmc]
• The Matthews correlation coefficient (MCC) is more reliable than balanced accuracy, bookmaker informedness, and markedness in two-class confusion matrix evaluation. [europepmc]
• Towards a guideline for evaluation metrics in medical image segmentation. [europepmc]