Citation prediction using diverse features

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August undefined, 2024

WebJul 10, 2024 · The research on the citation frequency of papers mainly focuses on two aspects: future selection [2,3,4,5,6] and prediction methods [7,8,9,10,11].For the selection of indicators, the study by Ming yang Wang et al. [] shows that the level of the first author and the quality of the article play a key role in the future reference of the paper.Vanclay [] … WebNov 17, 2015 · Citation Prediction Using Diverse Features. Abstract: Using a large database of nearly 8 million bibliographic entries spanning over 3 million unique authors, we build predictive models to classify a paper based on its citation count. Our approach …

Citation Prediction Using Diverse Features IEEE …

WebSection 2 we ﬁrst deﬁne a series of features which correlate with citation counts. We then formulate citation count prediction as a learning problem and introduce several … http://www.cond.org/citepredict.pdf easiest way to get ender pearls in minecraft

Citation Count Prediction: Learning to Estimate Future …

WebAug 1, 2024 · We use a multilayer BP neural network to predict the citations of academic papers. First, we select 49,834 papers in the library, information and documentation field published from 2000 to 2013 and indexed in the Chinese Social Science Citation Index database (hereafter CSSCI) (Su, Deng, & Shen, 2014). Second, we extract six article … WebNew Citation Alert added! ... The proposed technique resulted in a high classification AUC of 91.2% and 95.7% for 6-month- and 1-year-ahead AD prediction, respectively, using multimodal markers. ... “ A novel conversion prediction method of MCI to AD based on longitudinal dynamic morphological features using ADNI structural MRIs,” Journal ... WebApr 10, 2024 · Results Here, we trained a transformer neural network model on molecular dynamics data for >50,000 peptides that is able to accurately predict the (relative) membrane-binding free energy for any given amino acid sequence.Using this information, our physics-informed model is able to classify a peptide’s membrane-associative activity … easiest way to get ender pearls

Detecting trends in academic research from a citation network …

Link Prediction with the Graph Data Science Library

WebUsing a large database of nearly 8 million bibliographic entries spanning over 3 million unique authors, we build predictive models to classify a paper based on its citation … WebUsing a large database of nearly 8 million bibliographic entries spanning over 3 million unique authors, we build predictive models to classify a paper based on its citation … easiest way to get car financeWebFeb 21, 2024 · The precise estimate of remaining useful life (RUL) is vital for the prognostic analysis and predictive maintenance that can significantly reduce failure rate and maintenance costs. The degradation-related features extracted from the sensor streaming data with neural networks can dramatically improve the accuracy of the RUL prediction. … c twins

"WebMay 24, 2024 · However, phosphorylation prediction remains limited, owing to substrate specificity, performance, and the diversity of its features. In the present study we propose machine-learning-based predictors that use the physicochemical, sequence, structural, and functional information of proteins to classify S/T/Y phosphorylation sites. " - Citation prediction using diverse features

Citation prediction using diverse features

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WebCitation count prediction is an important task for estimating the future impact of research papers. Most of the existing works utilize the information extracted from the paper itself. … WebJan 18, 2024 · The idea implemented in this paper is the creation of a machine learning model, which utilizes past prices of Bitcoin, Google trends data and some custom features, which were created by text mining on tweets about Bitcoin. The aim of this study was to predict future Bitcoin prices. For this purpose, we compared a Deep Neural Network, and ...

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WebCitation count prediction is an important task for estimating the future impact of research papers. Most of the existing works utilize the information extracted from the paper itself. ... Li-Hsuan Huang, Sebastian Rodriguez, Rick Dale, and Evan Heit. 2015. Citation prediction using diverse features. In Proceedings of the 2015 IEEE International ... WebJul 13, 2024 · Software defect prediction is a thriving study area in the realm of software engineering and processing in the IOT-based environment. Defect prediction creates a list of defective source code artifacts so that quality assurance companies may successfully assign limited methods for certifying programming things by investing more effort into the …

Web2 days ago · Quantification of how different environmental cues affect protein allocation can provide important insights for understanding cell physiology. While absolute quantification of proteins can be obtained by resource-intensive mass-spectrometry-based technologies, prediction of protein abundances offers another way to obtain insights into protein … WebNov 9, 2024 · In this study, we aim to develop novel algorithms to provide accurate and timely predictions of fundraising performance, to better inform fundraisers. In particular, we propose a new approach to combine time-series features and time-invariant features in the deep learning model, to process diverse sources of input data.

http://rdkit.org/docs/Overview.html WebFeb 3, 2024 · We present a method for depth estimation with monocular images, which can predict high-quality depth on diverse scenes up to an affine transformation, thus preserving accurate shapes of a scene. Previous methods that predict metric depth often work well only for a specific scene. In contrast, learning relative depth (information of being closer or …

WebOct 19, 2024 · Here, we combine UniRep vectors of enzymes and diverse molecular fingerprints of their substrates to build a general, organism-, and reaction-independent model for the prediction of K M values, using machine and deep learning models. In the final model, we employ a 1,900-dimensional UniRep vector for the enzyme together with …

WebFeb 3, 2024 · Abstract: We present a method for depth estimation with monocular images, which can predict high-quality depth on diverse scenes up to an affine transformation, … easiest way to get essence of dawningWeb12 rows · Feb 1, 2024 · Citation prediction of scholarly papers has been extensively investigated, and these studies are ... easiest way to get files off of an old laptophttp://keg.cs.tsinghua.edu.cn/jietang/publications/CIKM11-Yan-Citation-Count-Prediction.pdf ct winsWebFeb 26, 2024 · The citations count are good measurement parameter to examine any research paper popularity. The author studied the citation count prediction to test … easiest way to get exp minecraftWebJun 10, 2024 · By building a meta-path based prediction model on a topic discrim- inative search space, we here propose a two-phase cita- Tion probability learning approach, in order to predict citation ... easiest way to get filthy lucreWebMay 1, 2024 · Conclusion. In this paper, we proposed a novel method for citation count prediction, which is based on artificial neural networks. We employed modern deep learning techniques (such as RNNs and sequence-to-sequence model) in order to learn a prediction method based on the sequence pattern of the citations from early years of … easiest way to get fatWebCitation Prediction Using Diverse Features. Harish S. Bhat, Li-Hsuan Huang, Sebastian Rodriguez, Rick Dale, Evan Heit. Citation Prediction Using Diverse Features. In IEEE … ctw instructions