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Evaluation
Suppose you are in charge of administering an enterprise database and are tasked with choosing an NLIDB system to provide a non-technical interface...
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Evaluation is key: a survey on evaluation measures for synthetic time series
Synthetic data generation describes the process of learning the underlying distribution of a given real dataset in a model, which is, in turn,...
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An Automatic Question Usability Evaluation Toolkit
Evaluating multiple-choice questions (MCQs) involves either labor-intensive human assessments or automated methods that prioritize readability, often...
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Unsupervised image segmentation evaluation based on feature extraction
Image segmentation is widely used in life. Generally speaking, the segmentation results are divided into good and bad quality, so it is very...
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Evaluation of Quantification Algorithms
In this chapter we discuss the experimental evaluation of quantification systems. We look at evaluation measures for the various types of...
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From task to evaluation: an automatic text summarization review
Automatic summarization is attracting increasing attention as one of the most promising research areas. This technology has been tried in various...
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Machine Learning Metrics for Network Datasets Evaluation
High-quality datasets are an essential requirement for leveraging machine learning (ML) in data processing and recently in network security as well....
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MTGNet: multi-label mesh quality evaluation using topology-guided graph neural network
Mesh quality directly affects the accuracy and efficiency of numerical simulation. Mesh quality evaluation aims to evaluate the suitability of the...
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Robust Evaluation of Language–Brain Encoding Experiments
Language–brain encoding experiments evaluate the ability of language models to predict brain responses elicited by language stimuli. The evaluation...
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An Evaluation Framework for Synthetic Data Generation Models
Nowadays, the use of synthetic data has gained popularity as a cost-efficient strategy for enhancing data augmentation for improving machine learning...
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Leveraging Deep Learning for Classifying Learner-Generated Course Evaluation Texts
With the growing popularity of massive open online courses (MOOCs), there are many chances to analyze student-generated assessments of course content...
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Evaluation Analysis
Evaluation is one of the key steps in big data analytics, which determines the merit of data analysis towards the experimental objectives. It usually...
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Quality evaluation methods of handwritten Chinese characters: a comprehensive survey
Quality evaluation of handwritten Chinese characters aims to automatically quantify and assess handwritten Chinese characters through computer vision...
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Non-binary evaluation of next-basket food recommendation
Next-basket recommendation (NBR) is a recommendation task that predicts a basket or a set of items a user is likely to adopt next based on his/her...
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SPRAG: building and benchmarking a Short Programming-Related Answer Grading dataset
Automated Short Answer Grading (ASAG) is a widely explored application of NLP in the domain of education. While much research focuses on natural...
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Weighted Multi-view Clustering Based on Internal Evaluation
As real-world data are often represented by multiple sets of features in different views, it is desirable to improve clustering results with respect...
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PCDialogEval: Persona and Context Aware Emotional Dialogue Evaluation
Endowing dialogue systems with emotional intelligence is an essential strategy for machines to achieve deep social interaction with users, for which...
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Detection and localization of multiple inter-frame forgeries in digital videos
Sanctity and integrity of digital videos are crucial for the diverse real-world applications. It has significant social and legal implications. The...
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Performance Evaluation Metrics
In the previous chapters, we introduced the concept of training a model either through a supervised or unsupervised learning approach. Evaluating a...
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A Dataset for Analysing Complex Document Layouts in the Digital Humanities and Its Evaluation with Krippendorff’s Alpha
We introduce a new research resource in the form of a high-quality, domain-specific dataset for analysing the document layout of historical...