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RefCit2vec: embedding models considering references and citations for measuring document similarity
This study outlines the intellectual structure of Library and Information Science in terms of the venues with RefCit2vec, an embedding method...
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Negative-sample-free knowledge graph embedding
Recently, knowledge graphs (KGs) have been shown to benefit many machine learning applications in multiple domains (e.g. self-driving, agriculture,...
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Exploiting recurrent graph neural networks for suffix prediction in predictive monitoring
Predictive monitoring is a subfield of process mining that aims to predict how a running case will unfold in the future. One of its main challenges...
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Similarity-based face image retrieval using sparsely embedded deep features and binary code learning
Human face retrieval has long been established as one of the most interesting research topics in computer vision. With the recent development of deep...
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Optimizing pre-copy live virtual machine migration in cloud computing using machine learning-based prediction model
One of the preconditions for efficient cloud computing services is the continuous availability of services to clients. However, there are various...
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Deep learning-based classification and application test of multiple crop leaf diseases using transfer learning and the attention mechanism
Crop diseases are among the major natural disasters in agricultural production that seriously restrict the growth and development of crops,...
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Research performance of higher education institutions in Türkiye: 1980–2022
In recent years, there has been a growing interest in the measurement of research performance. These studies evaluate a country or groups of...
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A clarity and fairness aware framework for selecting workers in competitive crowdsourcing tasks
Crowdsourcing is a powerful technique for accomplishing tasks that are difficult for machines but easy for humans. However, ensuring the quality of...
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AI Ethics, the Neuralink Enigma, and Statistical Inference as the Anticlimax of Machiavelli’s Prince
Elon Musk’s Neuralink, one more company hopes to dominate the brain-computer interface (BCI) market, has implanted a brain-reading device into a...
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Which older publications are still highly cited in the field of bibliometrics? Contemporary bibliometric citation classics
We find out which older publications (defined here as published before 1991) are nowadays, i.e. during the period [2013–2022], the most cited in...
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Journal 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...
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Exploring AI-driven approaches for unstructured document analysis and future horizons
In the current industrial landscape, a significant number of sectors are grappling with the challenges posed by unstructured data, which incurs...
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Taxonomy of deep learning-based intrusion detection system approaches in fog computing: a systematic review
The Internet of Things (IoT) has been used in various aspects. Fundamental security issues must be addressed to accelerate and develop the Internet...
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Deep learning and embeddings-based approaches for keyphrase extraction: a literature review
Keyphrase extraction is a subtask of natural language processing referring to the automatic extraction of salient terms that semantically capture the...
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Low resource Twi-English parallel corpus for machine translation in multiple domains (Twi-2-ENG)
Although Ghana does not have one unique language for its citizens, the Twi dialect stands a chance of fulfilling this purpose. Twi is among the...
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Iterative missing value imputation based on feature importance
Many datasets suffer from missing values due to various reasons, which not only increases the processing difficulty of related tasks but also reduces...
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VAE-GNA: a variational autoencoder with Gaussian neurons in the latent space and attention mechanisms
Variational autoencoders (VAEs) are generative models known for learning compact and continuous latent representations of data. While they have...
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DQN-PACG: load regulation method based on DQN and multivariate prediction model
Demand response plays a pivotal role in modern smart grid systems, aiding in balancing energy consumption. However, the increasing energy demands of...
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Overcoming alphabetical disadvantage: factors influencing the use of surname initial techniques and their impact on citation rates in the four major disciplines of social sciences
This study investigates the factors influencing surname initial techniques in academic publications and their impact on citation counts. Focusing on...
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LightCapsGNN: light capsule graph neural network for graph classification
Graph neural networks (GNNs) have achieved excellent performances in many graph-related tasks. However, they need appropriate pooling operations to...
