Results 11 to 20 of about 726,554 (241)
Recovering false negatives in CRISPR fitness screens with JLOE. [PDF]
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
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]
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
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]
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.
Masaharu Nakayama (285382) +7 more
core +1 more source
Bendamustine and Rituximab Treatment, Chronic Lymphocytic Leukemia, Direct Antiglobulin Test, and False Negatives [PDF]
Won Sriwijitalai, Viroj Wiwanitkit
doaj +2 more sources
Frequency Domain Simulation Experiments: The False Negatives Problem [PDF]
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).
Jair Cervantes (11890505) +2 more
core +1 more source
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

