Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 108 for “"False Positive Rate"”.
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Strip-Miner: Automatic Bug Detection in Large Software Code with Low False Positive Rate
… bug detection, most of them have a high false positive rate when used in practice. This work proposes an approach, named Strip-Miner, that combines simple dependency analysis of code with a data mining technique "frequent itemset mining" to reduce the false positive rate. We adopt a two …
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Determining the False Positive Rate of a Concussion Battery in Healthy Division I Collegiate Athletes
… (mTBI) every year in the United States. Accurate assessment and diagnosis of concussions is critical to protect athletes from further injury. The Fourth International Conference on Concussion in Sport Consensus Statement recommends a multifaceted concussion assessment which includes symptom …
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Techniques to detect and avert advanced software concurrency bugs
… analysis tools suffer from two problems: high false positive rate and high overhead. High false positive rate means lots of errors reported by the dynamic analysis tool may be benign or non-existent. For example, lots of data races detected by a race detection tool could be relatively benign …
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Automating Performance Diagnosis in Networked Systems
… or network-wide performance problems, with a false positive rate under 3%. The prototype system for diagnosing messaging stalls in a commercial streams processing system correctly finds 93% of message-processing stalls, with a false positive rate of 2%.
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SuperB: Superior Behavior-based Anomaly Detection Defining Authorized Users' Traffic Patterns
… anomaly detection schemes can suffer from high false detection rates due to the base rate fallacy. When the detection rate is less than the false positive rate, which is found in network anomaly detection schemes working with live data, a high false detection rate can occur. To overcome such a …
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Near real-time early cancer detection using a graphics processing unit
… to reduce computational requirements, decrease false positives and increase the accuracy of detecting early cancer. Most lesions where a physician had manually indicated that could be an area of concern were detected quickly, less than four seconds, which is roughly 25x quicker than the existing …
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NeuroYara: Learning to Rank for Yara Rules Generation through Deep Language Modeling & Discriminative N-gram Encoding
… machine learning models, Yara rules have a lower false-positive rate and better maintainability of the rules to incorporate new variants of malware. To produce a high-quality rule, one will need extensive experience in reverse engineering and malware analysis. However, it is resource- and …
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Integrating Epigenetic Priors For Improving Computational Identification of Transcription Factor Binding Sites
… background genomic information leads to a high false positive rate. In an attempt to improve the predictive performance of a PWM, we use a Hidden Markov Model to incorporate chromatin structure, in particular histone modifications. The HMM captures physical interactions between distinct HMs. …
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Η ΣΥΜΒΟΛΗ ΤΗΣ ΚΥΤΤΑΡΟΛΟΓΙΚΗΣ ΕΞΕΤΑΣΗΣ ΤΟΥ ΠΡΟΣΤΑΤΙΚΟΥ ΥΓΡΟΥ ΣΤΗ ΔΙΑΓΝΩΣΗ ΤΟΥ ΚΑΡΚΙΝΟΥ ΤΟΥ ΠΡΟΣΤΑΤΗ
… PROSTATIC CARCINOMA WAS PROVEN TO BE HIGHLY ACCURATE. THE SENSITIVITY OF THIS PROCEDURE WAS 96,1 PER CENT AND THE SPECIFICITY 84 PER CENT. ITS POSITIVE PREDICTIVE VALUE WAS 75,6 PER CENT AND ITS NEGATIVE PREDICTIVE VALUE 97,6 PER CENT. THE PROPORTION OF FALSE POSITIVE RATE WAS 16 PER CENT AND …
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Evaluation of maternal serum triple screen as an identifier of trisomy 21 pregnancy
… with chromosome abnormalities, indicating a high false positive rate. Medical records for 900 cases referred for maternal serum triple screen and maternal age were reviewed. The percentages of abnormal karyotypes in the two populations were not significantly different from each other or the …
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Screening Preschoolers for Autism with Behavior Rating Scales
… whether a behavior rating scale can accurately distinguish between referred preschoolers with autism and referred preschoolers without autism. Parents of 82 preschoolers referred to a nonprofit child development clinic because of behavioral or developmental concerns completed two behavior …
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Clinical Decision Support System with Adaptive Software Framework for Chronic Lymphocytic Leukaemia Cell Classification
… decision support system (CDSS), which operates within an adaptive software framework and a tailored wrapper design pattern for chronic lymphocytic leukaemia (CLL) cell classification. The system goes through a sequence of steps while working with the lymphocyte images: it segments the …
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A Lexical Approach for Classifying Malicious URLs
… network tra c, hosting information, and other strategies. These approaches require time-intensive lookups which introduce significant delay in real-time systems. This paper describes a lightweight approach for classifying malicious web pages using URL lexical analysis alone. The goal is to …
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LIDS: An Extended LSTM Based Web Intrusion Detection System With Active and Distributed Learning
… continues to increase, the demand for fast, accurate intrusion detection systems has grown. Various IDSs like Snort, Zeek, Solarwinds SEM, and Sleuth9, detect malicious intent based on existing patterns of attack. While these systems are widely deployed, there are limitations with their approach, …
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THE EFFECT OF ETHNICITY AND BODY SIZE ON THE ATHLETE’S HEART AND THEIR IMPACT ON CARDIOVASCULAR PRE-PARTICIPATION SCREENING
… of an African/Afro-Caribbean ethnicity demonstrate a greater prevalence of abnormal changes suggestive of pathology. There is however paucity in the literature of the athlete’s heart among other ethnicities. For this reason Study 1 investigated the impact of Arabic ethnicity upon the structure, …
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Identifying predictors of evolutionary dispersion with phylogeographic generalised linear models
… linear model formulation, however, assumes that rates of spatial diffusion are a noiseless deterministic function of the set of covariates, admitting no other unobserved sources of variation. Under a variety of simulation scenarios, we demonstrate that the lack of a term modelling stochastic …
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Integrating Gradient Boosting and Generative Models: Hybrid Approach to Address Class Imbalance and Evaluation Gaps in Real-World Systems
… due to the extreme class imbalance, high cost of false negatives, and the need to regulate false positives in realworld settings at scale. This thesis introduces Tail-end FPR Max Recall, a business-aware evaluation framework designed for such constrained environments. Using this framework, we …
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Temporal Frame Difference Using Averaging Filter for Maritime Surveillance
… we propose a method for detecting a motion generated by a maritime vehicle and then identifying the type of this vehicle using classification methods. A new maritime video database was created and tested. Classifying the type of vehicles have been tested by comparing 13 image features, and two …
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Frequentist-Bayesian Hybrid Tests in Semi-parametric and Non-parametric Models with Low/High-Dimensional Covariate
… (1998). The usefulness of our approach is demonstrated with an application in the identification of electronic chips as well as an application to test the change of pattern of precipitations. For the second testing problem, currently numerous statistical methods have been developed for analyzing …
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Correlation-based Botnet Detection in Enterprise Networks
… consisting of detection technologies demonstrated in four complementary systems: BotHunter, BotSniffer, BotMiner, and BotProbe. The common thread of these systems is correlation analysis, i.e., vertical correlation (dialog correlation), horizontal correlation, and cause-effect correlation. …
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