scholarly journals On minimizing assignment errors and the trade-off between false positives and negatives in parentage analysis

2013 ◽  
Vol 22 (23) ◽  
pp. 5738-5742 ◽  
Author(s):  
Hugo B. Harrison ◽  
Pablo Saenz-Agudelo ◽  
Serge Planes ◽  
Geoffrey P. Jones ◽  
Michael L. Berumen
Keyword(s):  
Parentage Analysis ◽  
False Positives ◽  
Trade Off ◽  
False Positives And Negatives

scholarly journals The Misreporting Trade-Off Between List Experiments and Direct Questions in Practice: Partition Validation Evidence from Two Countries

2021 ◽  
pp. 1-22
Author(s):  
Patrick M. Kuhn ◽  
Nick Vivyan
Keyword(s):  
False Positives ◽  
Simulation Studies ◽  
Trade Off ◽  
Validation Method ◽  
Reporting Error ◽  
Sensitive Topics ◽  
Direct Question ◽  
List Experiment ◽  
True Scores ◽  
False Positives And Negatives

Abstract To reduce strategic misreporting on sensitive topics, survey researchers increasingly use list experiments rather than direct questions. However, the complexity of list experiments may increase nonstrategic misreporting. We provide the first empirical assessment of this trade-off between strategic and nonstrategic misreporting. We field list experiments on election turnout in two different countries, collecting measures of respondents’ true turnout. We detail and apply a partition validation method which uses true scores to distinguish true and false positives and negatives for list experiments, thus allowing detection of nonstrategic reporting errors. For both list experiments, partition validation reveals nonstrategic misreporting that is: undetected by standard diagnostics or validation; greater than assumed in extant simulation studies; and severe enough that direct turnout questions subject to strategic misreporting exhibit lower overall reporting error. We discuss how our results can inform the choice between list experiment and direct question for other topics and survey contexts.

Sky Segmentation for Enhanced Depth Reconstruction and Bokeh Rendering with Efficient Architectures

2020 ◽  
Vol 2020 (14) ◽  
pp. 378-1-378-7
Author(s):  
Tyler Nuanes ◽  
Matt Elsey ◽  
Radek Grzeszczuk ◽  
John Paul Shen
Keyword(s):  
Real Time ◽  
Mobile Device ◽  
Computational Cost ◽  
False Positives ◽  
Compact Model ◽  
High Quality ◽  
False Negatives ◽  
Trade Off ◽  
Depth Reconstruction ◽  
Binary Classifiers

We present a high-quality sky segmentation model for depth refinement and investigate residual architecture performance to inform optimally shrinking the network. We describe a model that runs in near real-time on mobile device, present a new, highquality dataset, and detail a unique weighing to trade off false positives and false negatives in binary classifiers. We show how the optimizations improve bokeh rendering by correcting stereo depth misprediction in sky regions. We detail techniques used to preserve edges, reject false positives, and ensure generalization to the diversity of sky scenes. Finally, we present a compact model and compare performance of four popular residual architectures (ShuffleNet, MobileNetV2, Resnet-101, and Resnet-34-like) at constant computational cost.

scholarly journals False Positives and Negatives from Real Traffic with Intrusion Detection/Prevention Systems

2012 ◽  
pp. 87-90 ◽  
Author(s):  
Cheng-Yuan Ho ◽  
Ying-Dar Lin ◽  
Yuan-Cheng Lai ◽  
I-Wei Chen ◽  
Fu-Yu Wang ◽  
...  
Keyword(s):  
Intrusion Detection ◽  
False Positives ◽  
Real Traffic ◽  
False Positives And Negatives

The study of protein–protein interactions in bacteria

2012 ◽  
Vol 58 (11) ◽  
pp. 1241-1257 ◽  
Author(s):  
Roberto Velasco-García ◽  
Rocío Vargas-Martínez
Keyword(s):  
Hybrid System ◽  
High Throughput ◽  
Protein Interactions ◽  
Specific Protein ◽  
False Positives ◽  
Interaction Networks ◽  
Protein Protein Interactions ◽  
Extensive Data ◽  
False Positives And Negatives

Many of the functions fulfilled by proteins in the cell require specific protein–protein interactions (PPI). During the last decade, the use of high-throughput experimental technologies, primarily based on the yeast 2-hybrid system, generated extensive data currently located in public databases. This information has been used to build interaction networks for different species. Unfortunately, due to the nature of the yeast 2-hybrid system, these databases contain many false positives and negatives, thus they require purging. A method for confirming these PPI is to test them using a technique that operates in vivo and detects binary PPI. This article comprises an overview of the study of PPI and describes the main techniques that have been used to identify bacterial PPI, prioritizing those that can be used for their verification, and it also mentions a number of PPI that have been identified or confirmed using these methods.

scholarly journals Autoscaling Bloom filter: controlling trade-off between true and false positives

2019 ◽  
Vol 32 (8) ◽  
pp. 3675-3684 ◽  
Author(s):  
Denis Kleyko ◽  
Abbas Rahimi ◽  
Ross W. Gayler ◽  
Evgeny Osipov
Keyword(s):  
Bloom Filter ◽  
False Positives ◽  
Trade Off

Systematic hybrid LOH: a new method to reduce false positives and negatives during screening of yeast gene deletion libraries

Yeast ◽  
2006 ◽  
Vol 23 (14-15) ◽  
pp. 1097-1106 ◽  
Author(s):  
David Alvaro ◽  
Ivana Sunjevaric ◽  
Robert J. D. Reid ◽  
Michael Lisby ◽  
David J. Stillman ◽  
...  
Keyword(s):  
Gene Deletion ◽  
False Positives ◽  
New Method ◽  
Yeast Gene ◽  
False Positives And Negatives ◽  
Deletion Libraries

scholarly journals High False Positives and False Negatives in Yeast Parameter in an Automated Urine Sediment Analyzer / Brojni Lažno Pozitivni I Lažno Negativni Rezultati Za Parametar Gljivice Na Automatskom Analizatoru Urina

2015 ◽  
Vol 34 (3) ◽  
pp. 332-337 ◽  
Author(s):  
Ozgur Aydin ◽  
Hamit Yasar Ellidag ◽  
Esin Eren ◽  
Necat Yilmaz
Keyword(s):  
Practical Experience ◽  
Medical Doctor ◽  
False Positives ◽  
False Negatives ◽  
Urine Sediment ◽  
Medical Laboratories ◽  
Positive Report ◽  
Urine Specimens ◽  
False Positives And Negatives ◽  
Number Of Particles

SummaryBackground:Automated urine sediment analyzers have proven their feasibility in medical laboratories. However, editing manual microscopic review of some specimens severely limits the usefulness of such systems. This study aims to give feedback on the practical experience on »Yeast«, which is one of the parameters that compel frequent manual reviews.Methods: 5448 freshly collected urine specimens submitted from various departments of our hospital for diagnostic urinalysis were studied by the UriSed® (77 Elektronika, Hungary). A specialist medical doctor inspected every image onboard, and reviewed the ones with a »Yeast« alarm by traditional manual microscopy.Results: UriSed alarmed in 491 samples (9%) for yeast. In 59 samples (1%) the number of particles exceeded the cut-off and a »positive for yeast« was set. A false positive report of yeast +1 to 3+/HPF was found in 51 samples (0.9%). There were 8 cases with positive for yeast from both microscopic methods. Thirty-three »negative for yeast« samples were corrected as positive after the manual microscopic review.Conclusion: We report a high percentage of false positives and negatives in the yeast parameter, in line with other studies on UriSed as well as on other instruments in the market. As an important feedback, our observations showed that the major concern in false results was »the focusing problem«. We believe in the necessity of a focus check and comparison of alarms between images on board

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