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An overview of sentence ordering task
The sentence ordering task aims to organize complex, unordered sentences into readable text. This improves accuracy, validity, and reliability in...
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Enhancing author assessment: an advanced modified recursive elimination technique (MRET) for ranking key parameters and conducting statistical analysis of top-ranked parameter
Assessing the impact of authors in scientific research is crucial for evaluating scholarly contributions. Various parameters exist in the literature...
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Building the interpolating model for interval time series based on the fuzzy clustering technique
In the development of the social-economics of countries, time series is a data type stored commonly nowadays. For these data, forecasting has always...
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Real-time anomaly detection in sky quality meter data using probabilistic exponential weighted moving average
Light pollution is a problem that impacts many elements of human life and the environment, including astronomical observations. The authors of this...
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Enhancing the Vietoris–Rips simplicial complex for topological data analysis: applications in cancer gene expression datasets
The aim of this study is to enhance the extraction of informative features from complex data through the application of topological data analysis...
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Predicting the pharmaceutical needs of hospitals using machine learning algorithms
People’s lives are always threatened by various diseases. The role of health and medical services, in particular medicine, is undeniable in...
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K-means DTW Barycenter Averaging: a clustering analysis of COVID-19 cases and deaths on the Brazilian federal units
A challenge faced while monitoring the COVID-19 pandemic in Brazil is the identification of patterns of incidence and mortality, which can help...
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Objective metrics for ethical AI: a systematic literature review
The field of AI Ethics has recently gained considerable attention, yet much of the existing academic research lacks practical and objective...
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A common-specific feature cross-fusion attention mechanism for KGVQA
Knowledge graph-based visual question answering aims to utilize the information in the knowledge graph to assist in answering complex questions that...
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An efficient join operations for utility list-based high-utility mining approaches using hybrid search technique
Frequent itemset mining (FIM) has firmly established itself as a pivotal and reliable tool in the realm of business analytics, enabling the...
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Pseudo datasets explain artificial neural networks
Machine learning enhances predictive ability in various research compared to conventional statistical approaches. However, the advantage of the...
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Decision making for selection of smart vehicle transportation system using VIKOR approach
The advent of technology has facilitated communication among individuals, structures, and transport, thereby revolutionizing contemporary living. In...
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A comprehensive and analytical review of text clustering techniques
Document clustering involves grou** together documents so that similar documents are grouped together in the same cluster and different documents...
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K-Trickle: performance evaluation and impact on quality of service in resource-constrained networks
The Internet of Things is an emerging domain in the field of establishing the effective communications. Routing protocols are crucial for ensuring...
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Towards a holistic view of bias in machine learning: bridging algorithmic fairness and imbalanced learning
Machine learning (ML) is playing an increasingly important role in rendering decisions that affect a broad range of groups in society. This posits...
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TFPsocialmedia: a public dataset for studying Turkish foreign policy
ObjectivesThis data note introduces the TFPsocialmedia dataset, designed to aid social media researchers investigating Turkish Foreign Policy (TFP)....
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Stop** fake news: Who should be banned?
Fake news and misinformation spread in online social networks in a manner similar to contagious diseases. One possibility to thwart the contagion...
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An efficient machine learning approach for extracting eSports players’ distinguishing features and classifying their skill levels using symbolic transfer entropy and consensus nested cross-validation
Discovering features that set elite players apart is of great significance for eSports coaches as it enables them to arrange a more effective...
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Alternative feature selection with user control
Feature selection is popular for obtaining small, interpretable, yet highly accurate prediction models. Conventional feature-selection methods...
