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False positives and false negatives
OpenAlex ID:
C112789634
Statistical significance for genomewide studies
2003
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John D. Storey
, Robert Tibshirani
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Proceedings of the National Academy of Sciences
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9,787
A review of methods for the assessment of prediction errors in conservation presence/absence models
1997
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Alan H. FIELDING
, JOHN F. BELL
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Environmental Conservation
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7,042
The advantages of the Matthews correlation coefficient (MCC) over F1 score and accuracy in binary classification evaluation
2020
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Davide Chicco
, Giuseppe Jurman
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BMC Genomics
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6,921
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The Precision-Recall Plot Is More Informative than the ROC Plot When Evaluating Binary Classifiers on Imbalanced Datasets
2015
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Takaya Saito
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PLoS ONE
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International evaluation of an AI system for breast cancer screening
2020
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Nature
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Improved Assessment of Significant Activation in Functional Magnetic Resonance Imaging (fMRI): Use of a Cluster‐Size Threshold
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Magnetic Resonance in Medicine
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LSUN: Construction of a Large-scale Image Dataset using Deep Learning with Humans in the Loop
2015
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arXiv (Cornell University)
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Clinical diagnosis of depression in primary care: a meta-analysis
2009
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The Lancet
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Measuring the Objectness of Image Windows
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IEEE Transactions on Pattern Analysis and Machine Intelligence
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The Matthews correlation coefficient (MCC) is more reliable than balanced accuracy, bookmaker informedness, and markedness in two-class confusion matrix evaluation
2021
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BioData Mining
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BLINK: a package for the next level of genome-wide association studies with both individuals and markers in the millions
2018
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GigaScience
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What Do Different Evaluation Metrics Tell Us About Saliency Models?
2018
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IEEE Transactions on Pattern Analysis and Machine Intelligence
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The Rules of the Game Called Psychological Science
2012
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Perspectives on Psychological Science
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Replication levels, false presences and the estimation of the presence/absence from eDNA metabarcoding data
2014
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Gentile F. Ficetola
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Molecular Ecology Resources
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Managing Open Innovation
2004
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Henry Chesbrough
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Research-Technology Management
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False positives and false negatives in functional near-infrared spectroscopy: issues, challenges, and the way forward
2016
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Ilias Tachtsidis
, Felix Scholkmann
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Neurophotonics
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668
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A patient-centric dataset of images and metadata for identifying melanomas using clinical context
2021
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Veronica Rotemberg
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Screening tests: a review with examples
2014
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Inhalation Toxicology
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A fast automaton-based method for detecting anomalous program behaviors
2002
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What's under the ROC? An Introduction to Receiver Operating Characteristics Curves
2007
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David L Streiner
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The Canadian Journal of Psychiatry
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The principled control of false positives in neuroimaging
2009
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2019
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One Step Forward for Reducing False Positive and False Negative Compound Identifications from Mass Spectrometry Metabolomics Data: New Algorithms for Constructing Extracted Ion Chromatograms and Detecting Chromatographic Peaks
2017
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A Critique and Improvement of an Evaluation Metric for Text Segmentation
2002
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False discovery rate, sensitivity and sample size for microarray studies
2005
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Citation count:
115,200
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