Essays about: "manual evaluation"
Showing result 11 - 15 of 284 essays containing the words manual evaluation.
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11. Decompiling Go : Using metadata to improve decompilation readability
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Malware written in Go is on the rise, and yet, tools for investigating Go programs, such as decompilers, are limited. A decompiler takes a compiled binary and tries to recover its source code. Go is a high-level language that requires runtime metadata to implement many of its features, such as garbage collection and polymorphism. READ MORE
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12. Prompt-learning and Zero-shot Text Classification with Domain-specific Textual Data
University essay from Uppsala universitet/Institutionen för lingvistik och filologiAbstract : The rapid growth of textual data in the digital age presents unique challenges in domain-specific text classification, particularly the scarcity of labeled data for many applications, due to expensive cost of manual labeling work. In this thesis, we explore the applicability of prompt-learning method, which is well-known for being suitable in few-shot scenarios and much less data-consuming, as an emerging alternative to traditional fine-tuning methods, for domain-specific text classification in the context of customer-agent interactions in the retail sector. READ MORE
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13. Objective assessment of drawer test in cruciate ligament rupture in dogs
University essay from SLU/Dept. of Clinical SciencesAbstract : Cranial cruciate ligament rupture (CCLR) is one of the most common orthopaedic diagnosesin dogs. There are different methods to diagnose CCLR, but only a few can be considered as both noninvasive and objective. READ MORE
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14. Evaluating clustering techniques in financial time series
University essay from Uppsala universitet/Avdelningen för systemteknikAbstract : This degree project aims to investigate different evaluation strategies for clustering methodsused to cluster multivariate financial time series. Clustering is a type of data mining techniquewith the purpose of partitioning a data set based on similarity to data points in the same cluster,and dissimilarity to data points in other clusters. READ MORE
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15. Text simplification in Swedish using transformer-based neural networks
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Textförenkling innebär modifiering av text så att den blir lättare att läsa genom ersättning av komplexa ord, ändringar av satsstruktur och/eller borttagning av onödig information. Forskning existerar kring textförenkling på svenska, men användandet av neurala nätverk inom området är begränsat. READ MORE