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668 Result(s)
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Article
Open AccessJournal self-citations trends in sport sciences: an analysis of disciplinary journals from 2013 to 2022
This study reports on the yearly rate of journal self-citation (JSC) in sport sciences, how it changes over time, and its association with journal impact factor (JIF). Citations made by all 87 journals in “spo...
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Article
Open AccessThe analysis of diversification properties of stablecoins through the Shannon entropy measure
The common goal for investors is to minimise the risk and maximise the returns on their investments. This is often achieved through diversification, where investors spread their investments across various asse...
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Article
On the impact of multi-dimensional local differential privacy on fairness
Automated decision systems are increasingly used to make consequential decisions in people’s lives. Due to the sensitivity of the manipulated data and the resulting decisions, several ethical concerns need to ...
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Article
Open AccessPyPads
Despite algorithmic advancements in the field of machine learning, a need for improvement in the infrastructure supporting machine learning development and research has become increasingly apparent. Machine le...
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Chapter and Conference Paper
Beneath the [MASK]: An Analysis of Structural Query Tokens in ColBERT
ColBERT is a highly effective and interpretable retrieval model based on token embeddings. For scoring, the model adds cosine similarities between the most similar pairs of query and document token embeddings....
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Chapter and Conference Paper
Advancing Multimedia Retrieval in Medical, Social Media and Content Recommendation Applications with ImageCLEF 2024
The ImageCLEF evaluation campaign was integrated with CLEF (Conference and Labs of the Evaluation Forum) for more than 20 years and represents a Multimedia Retrieval challenge aimed at evaluating the technolog...
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Chapter and Conference Paper
Rule-Enhanced Pharmaceutical Instructions Information Extraction Based on Deep Learning
Pharmaceutical instructions information extraction is to transform the core content of drug manuals into formatted data, including entity recognition and relationship extraction, which is an essential value fo...
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Chapter and Conference Paper
TD-CRESTS: Top-Down Chunk Retrieval Based on Entity, Section, and Topic Selection
Retrieving specific information from extensive scientific documents presents a significant challenge. Existing information retrieval methods often focus on entire documents, even when only a small portion of ...
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Article
Open AccessA service-categorized security scheme with physical unclonable functions for internet of vehicles
In smart cities, communication and information exchange for the Internet of Vehicles rely on open and closed infrastructures along the roadside. Secure communications rely on the sender and receiver devices ha...
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Article
EcoLight+: a novel multi-modal data fusion for enhanced eco-friendly traffic signal control driven by urban traffic noise prediction
Urban traffic congestion is of utmost importance for modern societies due to population and economic growth. Thus, it contributes to environmental problems like increasing greenhouse gas emissions and noise po...
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Article
MuMUR: Multilingual Multimodal Universal Retrieval
Multi-modal retrieval has seen tremendous progress with the development of vision-language models. However, further improving these models require additional labelled data which is a huge manual effort. In thi...
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Article
Bringing legal knowledge to the public by constructing a legal question bank using large-scale pre-trained language model
Access to legal information is fundamental to access to justice. Yet accessibility refers not only to making legal documents available to the public, but also rendering legal information comprehensible to them...
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Article
Filters Based on Defect Modes by 1D Star Waveguides Defective System
In this paper, we present a theoretical study of the properties of defect modes in one-dimensional defective photonic star waveguides (SWGs). Both symmetrically and asymmetrically stacked defective SWGs are co...
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Article
Information extraction from electronic medical documents: state of the art and future research directions
In the medical field, a doctor must have a comprehensive knowledge by reading and writing narrative documents, and he is responsible for every decision he takes for patients. Unfortunately, it is very tiring t...
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Article
Retraction of Predatory publishing in Scopus: evidence on cross-country differences lacks justification
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Chapter
Explainable Artificial Intelligence (XAI): Motivation, Terminology, and Taxonomy
Deep learning algorithms and deep neural networks (DNNs) have become extremely popular due to their high-performance accuracy in complex fields, such as image and text classification, speech understanding, doc...
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Chapter and Conference Paper
A Data Value Matrix: Linking FAIR Data with Business Models
Data is the raw material of digitization, but its economic use and potential economic benefits are not always clear. Therefore, we would like to show that the processing of data, especially according to FAIR p...
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Chapter and Conference Paper
Prediction of Bike Sharing Activities Using Machine Learning and Data Analytics
We study bike sharing systems using machine learning techniques and statistics data analytics. Using data from the state of Minnesota, we investigate number of trips from each station and trip length in time a...
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Chapter and Conference Paper
ImageCLEF 2023 Highlight: Multimedia Retrieval in Medical, Social Media and Content Recommendation Applications
In this paper, we provide an overview of the upcoming ImageCLEF campaign. ImageCLEF is part of the CLEF Conference and Labs of the Evaluation Forum since 2003. ImageCLEF, the Multimedia Retrieval task in CLEF,...
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Chapter and Conference Paper
Incorporating TRIZ Methodology into Semi-structured Interviews for Innovative Insights
The article presents a novel approach to problem-solving in the maritime industry by combining the use of TRIZ with Qualitative tool which is Semi-Structured Interviews (SSI) to identify and resolve contradict...