Essays about: "similarity-based"
Showing result 1 - 5 of 17 essays containing the word similarity-based.
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1. Evaluating Similarity-Based Refactoring Recommendations
University essay from Lunds universitet/Institutionen för datavetenskapAbstract : .... READ MORE
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2. The utilization of log files generated by test executions: A systematic literature review
University essay from Mälardalens universitet/Akademin för innovation, design och teknikAbstract : Context: Testing is an important activity in software development and is typically estimated to account for nearly half of the efforts in the software development cycle. This puts a great demand on improving the artifacts involved in this task such as the test cases and test suites (a collection of test cases). READ MORE
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3. Siamese Neural Networks for Regression: Similarity-BasedPairing and Uncertainty Quantification
University essay from Uppsala universitet/Institutionen för farmaceutisk biovetenskapAbstract : Here we present a similarity-based pairing method for generating compound pairs to train a Siamese Neural Network. In comparison with the conventional exhaustive pairing of N2/2 pairs (N being the sizeof the training set), this method results in N-1 pairs, significantly reducing the training time. READ MORE
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4. Text Similarity Analysis for Test Suite Minimization
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Software testing is the most expensive phase in the software development life cycle. It is thus understandable why test optimization is a crucial area in the software development domain. In software testing, the gradual increase of test cases demands large portions of testing resources (budget and time). READ MORE
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5. Measure face similarity based on deep learning
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Measuring face similarity is a task in computer vision that is different from face recognition. It aims to find an embedding in which similar faces have a smaller distance than dissimilar ones. This project investigates two different Siamese networks to explore whether these specific networks outperform face recognition methods on face similarity. READ MORE