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Analysis for false positives

Concavity analysis for reduction of ileocecal valve false positives in CTC

Concavity analysis for reduction of ileocecal valve false positives in CTC

... The method has been applied to a multi-center tagged CTC dataset and shows the ICV detection rate of 90% for the training dataset and 83% for the independent testing data, with the FP reduction of 31% by using the ...

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Concavity analysis for reduction of ileocecal valve false positives in CTC

Concavity analysis for reduction of ileocecal valve false positives in CTC

... The method has been applied to a multi-center tagged CTC dataset and shows the ICV detection rate of 90% for the training dataset and 83% for the independent testing data, with the FP reduction of 31% by using the ...

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Copyright False Positives

Copyright False Positives

... merce, 67 copyrights inure at the moment of fixation 68 without any procedu- ral or substantive inquiry into their scope. 69 To apply a term used by Peter Menell and Michael Meurer, copyright law does not provide “deed” ...

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False Positives Reduction Techniques in Intrusion Detection Systems-A Review

False Positives Reduction Techniques in Intrusion Detection Systems-A Review

... statistical analysis of both attack and normal traffics based on the training data of KDD ...statistical analysis can be manipulated to reduce misclassification of false positives and ...

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Reduction of Lymph Tissue False Positives in Pulmonary Embolism Detection

Reduction of Lymph Tissue False Positives in Pulmonary Embolism Detection

... j∈S i λ ij ~ x ij where λ ij ≥ 0, P j∈S i λ ij = 1). The goal of our classification algorithm is to determine a decision boundary that separates, with high accuracy, any possible part of each of the convex hulls on one ...

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Breast density classification to reduce false positives in CADe systems

Breast density classification to reduce false positives in CADe systems

... Mammographic density can be evaluated and reported by radiologists on the basis of visual analysis of mammograms by following two different radiologic patterns of dense and non-dense tissue in the breast. Thus, ...

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Antipattern and Code Smell False Positives: Preliminary Conceptualization and Classification

Antipattern and Code Smell False Positives: Preliminary Conceptualization and Classification

... static analysis: metrics values, structural properties, history of changes or relations with other anti-patterns or code ...numerous false-positives: entities that are incorrectly classified as ...

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False Positives and Shallow Eclipsing Binaries in Transiting Exoplanet Surveys

False Positives and Shallow Eclipsing Binaries in Transiting Exoplanet Surveys

... Analysis of this system is complicated by two factors, both of which are relevant for PLATO. First, the UKIRT image on the NASA ExoFOP (Exoplanet Follow-up Observing Program) website shows clearly a nearby star, ...

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False positives and false negatives in functional near-infrared spectroscopy: issues, challenges, and the way forward

False positives and false negatives in functional near-infrared spectroscopy: issues, challenges, and the way forward

... (iv) Multimodal monitoring: The fNIRS experimental environ- ment allows easy interfacing with additional instruments that can monitor systemic variables during the functional experiment. These can be devices enabling the ...

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False positives and false negatives in functional near-infrared spectroscopy: issues, challenges, and the way forward

False positives and false negatives in functional near-infrared spectroscopy: issues, challenges, and the way forward

... (iv) Multimodal monitoring: The fNIRS experimental environ- ment allows easy interfacing with additional instruments that can monitor systemic variables during the functional experiment. These can be devices enabling the ...

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Quantifying data quality in a citizen science monitoring program: False negatives, false positives and occupancy trends

Quantifying data quality in a citizen science monitoring program: False negatives, false positives and occupancy trends

... the false-positive error rate must be lower than the true detection ...of false-positive observations is considered impossible (Chambert, Miller, & Nichols, 2015; Miller et ...infer ...

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Genome-wide association studies, false positives, and how we interpret them

Genome-wide association studies, false positives, and how we interpret them

... were vague in their writing such that explicitly stating whether they found a convincing connection could be difficult. Because of this, there is the possibility of errors and inaccurate analysis having occurred ...

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Evaluating Special Techniques for Surveying Sensitive Topics: An Approach that Detects False Positives

Evaluating Special Techniques for Surveying Sensitive Topics: An Approach that Detects False Positives

... Appendix References I Gingerich, Daniel W., Virginia Oliveros, Ana Corbacho, and Mauricio Ruiz-Vega. 2015. “When to protect? Using the crosswise model to integrate protected and direct responses in surveys of sensitive ...

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False positives complicate ancient pathogen identifications using high throughput shotgun sequencing

False positives complicate ancient pathogen identifications using high throughput shotgun sequencing

... compare different archaeological collections and data sets in terms of the likelihood of ancient pathogen recovery, our data are illustrative of the challenges encountered in high-throughput metagenomic pathogen studies. ...

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Mining intrusion detection alert logs to minimise false positives & gain attack insight

Mining intrusion detection alert logs to minimise false positives & gain attack insight

... Limitations The ability to draw effective conclusions using this visual method is dependant on the volume of data, the layout of the streamgraph and visual attributes such as the coloring of the graph’s categories. It ...

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Reduction of False Positives in Intrusion Detection Based on Extreme Learning Machine with Situation Awareness

Reduction of False Positives in Intrusion Detection Based on Extreme Learning Machine with Situation Awareness

... Moustafa, Creech, and Slay (2017) proposed an Anomaly Detection System based on Finite Dirichlet Mixture Model with a PCA-based feature reduction. Their approach yielded a lower FPR than other comparable approaches, such ...

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Leveraging Test Generation and Specification Mining for Automated Bug Detection without False Positives

Leveraging Test Generation and Specification Mining for Automated Bug Detection without False Positives

... true positives. The analysis reports a warning only if a protocol is violated and if the protocol violation causes an uncaught ...a false warning when two conditions ...

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False Positives Reduction in Top-down Protein Informatics using Support Vector Machines

False Positives Reduction in Top-down Protein Informatics using Support Vector Machines

... There is a consensus amongst the genomics and pro- teomics community that to understand the full biological picture, a whole proteome analysis is pertinent [4]. This new direction has brought proteins into the ...

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A method to reduce ancestry related germline false positives in tumor only somatic variant calling

A method to reduce ancestry related germline false positives in tumor only somatic variant calling

... While the goal of the present study was to evaluate the benefit and limitations of leveraging allele frequen- cies to distinguish somatic and germline variants in un- matched tumor samples, in the process we have ...

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Automatic Detection and Correction of Web Application Vulnerabilities using Data Mining to Predict False Positives

Automatic Detection and Correction of Web Application Vulnerabilities using Data Mining to Predict False Positives

... static analysis to find these bugs, but these tools are known to report many false positives that make hard the task of correcting the applica- ...less false positives. After an initial ...

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