Spearman Correlation

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5 papers in the last four weeks, level with the four weeks before. 0.0% of all new papers.

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  1. Recognition of Urbanized Areas in UAV-Derived Very-High-Resolution Visible-Light Imagery

    Sep 30, 2026Edyta Puniach, Wojciech Gruszczyński, Paweł Ćwiąkała +2Aerial ImageryNormalized Difference Vegetation Index

    AGH University of Krakow, Faculty of Geo-Data Science, Geodesy, and Environmental Engineering, Mickiewicza 30, 30-059 Krakow, Poland · The Mærsk Mc-Kinney Møller Institute, University of Southern Denmark, Campusvej 55, DK-5230 Odense, Denmark

  2. A Generalisation Signal Need Not Be a Model-Selection Signal

    Sep 30, 2026Aditya Nagarsekar, M P Ashish Bhat, Aadi Nesarkar +5Model SelectionSpearman Correlation

    Department of CS&IS, BITS Pilani, K K Birla Goa Campus · LexisNexis Legal & Professional · Center for AI and Supercomputing, Mahindra University

  3. Benchmarking Active Spot Selection for Cost-Efficient Spatial Transcriptomics

    Sep 23, 2026Zheyu Zhu, Junchao Zhu, Fengbei Liu +7Spatial TranscriptomicsActive Learning

    University of Pennsylvania, Philadelphia, PA 19104, USA · Vanderbilt University, Nashville, TN, USA · Cornell Tech, New York, NY 10044, USA +4

  4. DeltaSelect: Affordable A/B Testing for Coding Agents

    Sep 17, 2026Nicholas J. ConnAgentic BenchmarksBenchmark Saturation

    Conn Castle Studios

  5. Break Step: Recursive Training Resonates with Replayed Sampling Noise

    Sep 10, 2026Yangze Liu, Zhongyi HanCollapseLarge Language Model Training

    Shandong University

  6. Necessary or Sufficient? Evaluating LLM Explanations With Behavioural Evidence

    Sep 4, 2026Urja Pawar, Rajitha Ramanayake, Nabeel Kemal +6Large Language Model DecisionsExplainable AI Methods

    BNY

  7. CliffRank: A Dual-Branch Framework for Activity-Cliff Ranking Prediction

    Sep 1, 2026Kewei Li, Rongying Zhang, Peiyu Yang +4Antimicrobial PeptideSpearman Correlation

    College of Computer Science and Technology, Jilin University, Changchun, 130012, China. · Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University, Changchun, 130012, China. · Greenwich High School, Greenwich, CT, 06830, United States of America. +3

  8. Benchmarking Peptide-Protein Affinity Prediction Across Peptide and Target Shifts

    Aug 31, 2026Jiaxin Tian, Darren An, Jun LiSpearman Correlation

    College of Biology, Hunan University, Changsha, Hunan, China · 2Lingang Laboratory, Shanghai, China

  9. Geometry-Based Compression of Plenoptic Point Clouds

    Aug 11, 2026Davi R. Freitas, Gustavo L. Sandri, Ricardo L. de QueirozPoint CloudsVolumetric Video

    Inria - Rennes Bretagne-Atlantique Rennes, France · Instituto Federal de Bras´ılia Bras´ılia, Brazil · Universidade de Bras´ılia Bras´ılia, Brazil

  10. TLDChoiceNet: Quantitatively Choosing a Transfer Learning Dataset

    Aug 10, 2026Jing Ning, James D. BrazaTransfer LearningImagenet

    Department of Computer Science, Stanford University

  11. Can Language Models Identify Shadow Trading Targets? An NLP Evaluation of SEC Enforcement Theory

    Aug 2, 2026Sarah Wilson, Michael MacKay, Anthony Marello +1PeersLegal Natural Language Processing Benchmarks

    Columbia University.

  12. External Clustering Validation by the Homogeneity-Parsimony Trade-off

    Jul 22, 2026Andreas Tiffeau-MayerClusteringSpearman Correlation

    Division of Infection and Immunity & Institute for the Physics of Living Systems, University College London

  13. On Pairwise Quantile Regression -- Statistical Guarantees and Applications

    Jul 5, 2026Romain Thérézien, Stephan Clémençon, Fantin Girard +1Multi-Quantile RegressionQuantile Regression

    1LTCI, Télécom Paris, Institut Polytechnique de Paris · 2Idémia · 3Télécom Sud-Paris, Institut Polytechnique de Paris

  14. How to evaluate clustering with ground truth?

    Jun 25, 2026Pasi FräntiEvaluation MetricsSpearman Correlation

    School of Computing University of Eastern Finland Joensuu, Finland

  15. Manipulation Is Task-Dependent: A Multi-Axis, Multi-Environment Evaluation of Frontier LLMs

    Jun 24, 2026Adeeb Zaman, Erik Nordby, Fred HeidingEmotional ManipulationLarge Language Model Evaluation

    Cambridge Boston Alignment Initiative (CBAI), Cambridge, US · The AI and Cybersecurity Institute (TAICI), Cambridge, US

  16. Cross-View Variance Correlation in Path-Traced Stereo:A Hidden Shortcut in Synthetic Training Data

    Jun 24, 2026Po-Ting LinStereo VisionCross-View

    Independent Researcher · Taiwan,Tainan

  17. 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

  18. Towards a Pseudo-Labeling Workflow for Celltype-Classification from Explanted Brain Slice Recordings

    Jun 15, 2026Cora Jostock, Jonas Ort, Henner Koch +2Neural RecordingsCells

    University of Duisburg-Essen, Intelligent Embedded Systems Lab, Duisburg, Germany · RWTH University Hospital, Department of Neurosurgery, Aachen, Germany · RWTH University Hospital, Department of Epileptology, Aachen, Germany

  19. Correct Looks Better: Pairwise Comparisons Reveal Accuracy Rankings

    Jun 8, 2026Mina Remeli, Moritz HardtSpearman CorrelationCorrect

    Max Planck Institute for Intelligent Systems, Tübingen, Germany, Tübingen AI Center

  20. Fourier fractal dimension to predict the generalization of deep neural networks

    Jun 6, 2026Joao B. Florindo, Davi Wanderley MisturiniFractal DimensionStochastic Gradient Descent

    Institute of Mathematics, Statistics and Scientific Computing - University of Campinas Rua Sérgio Buarque de Holanda, 651, Cidade Universitária “Zeferino Vaz” - Distr. Barão Geraldo, CEP 13083-859, Campinas, SP, Brasil

  21. LLMs as Teaching Assistants for Mathematics Exam Grading: Reliability, and Practical Usability

    Jun 1, 2026Aastha Sapkota, M. G. Sarwar MurshedGradingPreliminary Study

    Computer Science Department University of Wisconsin - Green Bay, Green Bay, WI, USA

  22. Resolution Diagnostics for Paired LLM Evaluation

    May 28, 2026Anany KotawalaLarge Language Model EvaluationSpearman Correlation

    Princeton University, Princeton, NJ, USA.

  23. Training distribution determines the ceiling of drug-blind cancer sensitivity prediction

    May 20, 2026Taekyung HeoPharmacokineticsCells

  24. The Scaling Law of Evaluation Failure: Why Simple Averaging Collapses Under Data Sparsity and Item Difficulty Gaps, and How Item Response Theory Recovers Ground Truth Across Domains

    May 11, 2026Jung Min KangArtificial Intelligence BenchmarksItem Response Theory

    Independent Researcher · Seoul, South Korea

  25. A Task-Agnostic Algebraic Integrity Metric for Event-Camera Streams Toward SOTIF-Compliant Perception using Pearson Correlation Coefficient

    May 8, 2026Arthur de Miranda NetoAdaptive ThresholdingSpearman Correlation

    Federal University of Lavras (UFLA), Brazil

  26. From Global to Granular: Revealing IQA Model Performance via Correlation Surface

    Jan 29, 2026Baoliang Chen, Danni Huang, Hanwei Zhu +5Image Quality AssessmentSpearman Correlation

    School of Computer Science, South China Normal University · College of Computing and Data Science, Nanyang Technological University · School of Computer Science, City University of Hong Kong +2