301 Result(s)
within
English
Computer Science
Database Management
Information Systems Applications (incl. Internet)
Ben Ep**er
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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
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
Neighboring relation enhanced inductive knowledge graph link prediction via meta-learning
Inductive link prediction over knowledge graphs(KGs) aims to perform inference over a new graph with unseen entities. In contrast to transductive link prediction, which learns a fixed set of known entities and...
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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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Chapter and Conference Paper
RMLStreamer-SISO: An RDF Stream Generator from Streaming Heterogeneous Data
Stream-reasoning query languages such as CQELS and C-SPARQL enable query answering over RDF streams. Unfortunately, there currently is a lack of efficient RDF stream generators to feed RDF stream reasoners. St...
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Chapter and Conference Paper
Groupwise Query Performance Prediction with BERT
While large-scale pre-trained language models like BERT have advanced the state-of-the-art in IR, its application in query performance prediction (QPP) is so far based on pointwise modeling of individual queri...
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Chapter and Conference Paper
Position-Pose Measurement Algorithm Based on Geometrical Characteristics
Based on the geometrical characteristics, this paper proposes a position-pose measurement algorithm with the non-feature point data of the cooperative target. This method only needs to project six parallel las...
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Chapter and Conference Paper
Incorporating Ranking Context for End-to-End BERT Re-ranking
Ranking context has been shown crucial for the performance of learning to rank. Its use for the BERT-based re-rankers, however, has not been fully explored. In this work, an end-to-end BERT-based ranking model...
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Chapter and Conference Paper
Res-GAN: Residual Generative Adversarial Network for Coronary Artery Segmentation
Segmentation of coronary arteries in X-ray angiograms is a crucial step in the assessment of coronary disease. Recently, many automatic approaches have been proposed to minimize time-consuming clinicians inter...
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Chapter and Conference Paper
Evolutionary Optimization for CNN Compression Using Thoracic X-Ray Image Classification
Computer Vision, as an area of Artificial Intelligence, has recently achieved success in tackling numerous difficult challenges in health care and has the potential to contribute to the fight against several l...
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Chapter and Conference Paper
Convolutional Neural Network Approach for Multiple Sclerosis Lesion Segmentation
Nowadays Deep Learning (DL) based automatic segmentation has outperformed traditional methods. In the present paper, we are interested in automatic MS lesion segmentation of 2D images based on DL techniques. T...
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Chapter and Conference Paper
Learning Profiles to Assess Educational Prediction Systems
Distance learning institutions record a high failure and dropout rate every year. This phenomenon is due to several reasons such as the total autonomy of learners and the lack of regular monitoring. Therefore,...
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Chapter and Conference Paper
Combining Artificial Intelligence and Edge Computing to Reshape Distance Education (Case Study: K-12 Learners)
Nowadays, the use of distance learning is increasing, especially with the recent Covid-19 pandemic. To improve e-learning and maximise its effectiveness, artificial intelligence (AI) is used to analyse learnin...
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Chapter and Conference Paper
ImageCLEF 2022: Multimedia Retrieval in Medical, Nature, Fusion, and Internet Applications
ImageCLEF s part of the Conference and Labs of the Evaluation Forum (CLEF) since 2003. CLEF 2022 will take place in Bologna, Italy. ImageCLEF is an ongoing evaluation initiative which promotes the evaluation ...
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Chapter and Conference Paper
ICU Mortality Prediction Using Long Short-Term Memory Networks
Extensive bedside monitoring in Intensive Care Units (ICUs) has resulted in complex temporal data regarding patient physiology, which presents an upscale context for clinical data analysis. In the other hand, ...
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Chapter and Conference Paper
Modeling Long-Range Travelling Times with Big Railway Data
Big Railway Data, such as train movement logs and timetables, have become increasingly available. By analyzing these data, insights about train movement and delay can be extracted, allowing train operators to ...
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Chapter and Conference Paper
Extending SysML with Refinement and Decomposition Mechanisms to Generate Event-B Specifications
SysML, dedicated to system design, provides graphical models. One of the strengths of these graphical models is that they can be validated by domain experts. However, the semantics of SysML is given in natural la...
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Article
Adaptive weighted least squares regression for subspace clustering
In this research paper, we consider the subspace clustering problem which aims at finding a low-dimensional representation of a high-dimensional data set. In particular, our central focus is upon the least squ...
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Chapter and Conference Paper
Spark Based Text Clustering Method Using Hashing
Text clustering has become an important task in machine learning since several micro-blogging platforms such as Twitter require efficient clustering methods to discover topics. In this context, we propose in t...
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Chapter and Conference Paper
Malware Detection Using Rough Set Based Evolutionary Optimization
Despite the existing anti-malware techniques and their interesting achieved results to “hook” attacks, the unstoppable evolution of malware makes the need for more capable malware detection systems overriding....
