Results 11 to 20 of about 726,554 (241)

Recovering false negatives in CRISPR fitness screens with JLOE. [PDF]

open access: yesNucleic Acids Res, 2023
It is widely accepted that pooled library CRISPR knockout screens offer greater sensitivity and specificity than prior technologies in detecting genes whose disruption leads to fitness defects, a critical step in identifying candidate cancer targets ...
Dede M, Hart T.
europepmc   +2 more sources

FenceTalk: Exploring False Negatives in Moving Object Detection

open access: yesAlgorithms, 2023
Deep learning models are often trained with a large amount of labeled data to improve the accuracy for moving object detection in new fields. However, the model may not be robust enough due to insufficient training data in the new field, resulting in ...
Yun-Wei Lin   +3 more
doaj   +1 more source

The Effects of Depression and Rumination on False Memory [PDF]

open access: yes, 2011
Depression increases the likelihood of cognitive deficits, including memory impairments, but the effect of depression on false memories is debated. The current study investigated whether depressive symptoms are associated with increased negative false ...
Turner, Amy
core   +8 more sources

Improved YOLOv3 Integrating SENet and Optimized GIoU Loss for Occluded Pedestrian Detection

open access: yesSensors, 2023
Occluded pedestrian detection faces huge challenges. False positives and false negatives in crowd occlusion scenes will reduce the accuracy of occluded pedestrian detection.
Qiangbo Zhang   +4 more
doaj   +1 more source

Linear filtering reveals false negatives in species interaction data. [PDF]

open access: yesSci Rep, 2017
Species interaction datasets, often represented as sparse matrices, are usually collected through observation studies targeted at identifying species interactions.
Stock M   +3 more
europepmc   +2 more sources

Number of true positives, false positives, false negatives, and true negatives for each cause of death.

open access: yes, 2023
Number of true positives, false positives, false negatives, and true negatives for each cause of death.
Masaharu Nakayama (285382)   +7 more
core   +1 more source

Frequency Domain Simulation Experiments: The False Negatives Problem [PDF]

open access: yes, 1988
Frequency Domain Simulation Experiments: The False Negatives ...
Morrice, D., Schruben, L.
core   +6 more sources

Definition of pixels classified as true positives (TP), false positives (FP), true negatives (TN), and false negatives (FN).

open access: yes, 2021
Definition of pixels classified as true positives (TP), false positives (FP), true negatives (TN), and false negatives (FN).
Jair Cervantes (11890505)   +2 more
core   +1 more source

Contrasting groups’ standard setting for consequences analysis in validity studies: reporting considerations

open access: yesAdvances in Simulation, 2018
Background The contrasting groups’ standard setting method is commonly used for consequences analysis in validity studies for performance in medicine and surgery.
Morten Jørgensen   +2 more
doaj   +1 more source

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