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Chapter and Conference Paper
Ensuring Fairness of Human- and AI-Generated Test Items
Large language models (LLMs) have been a catalyst for the increased use of AI for automatic item generation on high-stakes assessments. Standard human review processes applied to human-generated content are al...
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Chapter and Conference Paper
Help Seekers vs. Help Accepters: Understanding Student Engagement with a Mentor Agent
Help from virtual pedagogical agents has the potential to improve student learning. Yet students often do not seek help when they need it, do not use help effectively, or ignore the agent’s help altogether. Th...
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Chapter and Conference Paper
Age Reduces Motor Asymmetry in a Graphic Task
The purpose of the present study was to compare motor asymmetry between older and younger adults performing a graphic task. Thirty-four right-handed older and 38 younger adults drew continuous cursive “l” loop...
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Chapter and Conference Paper
Bot Log Mining: Using Logs from Robotic Process Automation for Process Mining
Robotic Process Automation (RPA) is an emerging technology for automating tasks using bots that can mimic human actions on computer systems. Most existing research focuses on the earlier phases of RPA implemen...
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Chapter and Conference Paper
Position: GDPR Compliance by Construction
New laws such as the European Union’s General Data Protection Regulation (GDPR) grant users unprecedented control over personal data stored and processed by businesses. Compliance can require expensive manual...
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Chapter and Conference Paper
Evaluation Methods of Hierarchical Models
In this paper, we consider the problem of evaluating the quality of hierarchical models. This task arises due to the current researchers use subjective evaluation, such as a survey to test the goodness of a hi...
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Chapter and Conference Paper
Cuttle: Enabling Cross-Column Compression in Distributed Column Stores
We observe that, in real-world distributed data warehouse systems, data columns from different sources often exhibit redundancy. Even though these systems can employ both general and column-oriented compressio...
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Chapter
New Word Detection and Tagging on Chinese Twitter Stream
Twitter becomes one of the critical channels for disseminating up-to-date information. The volume of tweets can be huge. It is desirable to have an automatic system to analyze tweets. The obstacle is that Twit...
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Chapter and Conference Paper
An Investigation into the Use of Document Scores for Optimisation over Rank-Biased Precision
When a Document Retrieval system receives a query, a Relevance model is used to provide a score to each document based on its relevance to the query. Relevance models have parameters that should be tuned to op...
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Chapter and Conference Paper
Optimising Queue-Based Semi-stream Joins by Introducing a Queue of Frequent Pages
Semi-stream joins perform a join between a stream and a disk-based table. These joins can easily deal with typical workloads in online real-time data warehousing in many scenarios and with relatively modest sy...
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Chapter and Conference Paper
Realizing Inclusive Digital Library Environments: Opportunities and Challenges
Universal design, also known as inclusive design, envisions the design of products and services to be accessible and usable to all irrespective of their disability status, cultural background, age, etc. Librar...
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Chapter and Conference Paper
Mining Source Code Topics Through Topic Model and Words Embedding
Developers nowadays can leverage existing systems to build their own applications. However, a lack of documentation hinders the process of software system reuse. We examine the problem of mining topics (i.e., ...
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Chapter and Conference Paper
Company Name Disambiguation in Tweets: A Two-Step Filtering Approach
Using Twitter as an effective marketing tool has become a gold mine for companies interested in their online reputation. A quite significant research challenge related to the above issue is to disambiguate twe...
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Chapter and Conference Paper
Fractal Beauty in Text
This paper assesses if text possesses fractal properties, namely if several attributes that characterize sentences are self-similar. In order to do that, seven corpora were analyzed using several statistical t...
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Chapter and Conference Paper
Discriminative Interpolation for Classification of Functional Data
The modus operandi for machine learning is to represent data as feature vectors and then proceed with training algorithms that seek to optimally partition the feature space
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Chapter and Conference Paper
Towards Building Wordnet for the Tatar Language: A Semantic Model of the Verb System
Wordnet is a lexical database where nouns, verbs, adjectives, and adverbs are organized in a conceptual hierarchy linking semantically and lexically related concepts to each other. This paper reports on the pr...
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Chapter and Conference Paper
Boundedness of Weight Elimination for BP Neural Networks
Weight elimination can be usefully interpreted as an assumption about the prior distribution of the weights trained in the backpropagation neural networks (BPNN). Weight elimination based on different scaling ...
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Chapter and Conference Paper
On Applying Evolutionary Computation Methods to Optimization of Vacation Cycle Costs in Finite-Buffer Queue
In this paper, problem of positioning and optimization of operation costs for finite-buffer queuing system with exponentially distributed server vacation is investigated. The problem is solved using evolutiona...
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Chapter and Conference Paper
The Errors of Our Ways: Using Metadata Quality Research to Understand Common Error Patterns in the Application of Name Headings
Using data culled during a metadata quality research project for the Social Network and Archival Context (SNAC) project, this article discusses common errors and problems in the use of standardized languages, ...
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Chapter and Conference Paper
Future Prospects of Human Interaction with Artificial Autonomous Systems
The growing complexity of intelligent systems and technologies raises questions concerning their interaction with human intelligence. The loss of an ability to control artificial intelligent and autonomous dec...