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 [] … 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 …

Citation Count Prediction: Learning to Estimate Future …

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 … 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 ... hawthorn botanical name

Citation Prediction Using Diverse Features - researchr publication

WebOct 13, 2024 · To further improve prediction accuracy by increasing feature diversity, different features were selected in different degradation stages using the method described in Sec. 3.3. The hypothesis is that feature selection for ensembles is not necessarily the same as feature selection for a single base learner. WebJun 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 ... http://keg.cs.tsinghua.edu.cn/jietang/publications/CIKM11-Yan-Citation-Count-Prediction.pdf hawthorn boutique hotel

Predicting the citations of scholarly paper - ScienceDirect

Interpretable Aspect-Aware Capsule Network for Peer Review …

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 … botany woods pool rentalWebOct 28, 2024 · Citation: Chen X, Peng Y, Gao Y, Cai S (2024) A competition model for prediction of admission scores of colleges and universities in Chinese college entrance examination. PLoS ONE 17(10): e0274221. ... We use diverse features of colleges and universities to characterize their novel competition relationships and build competition … botany woods greenville sc map

"WebFeb 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. … " - Citation prediction using diverse features

Citation prediction using diverse features

Early MCI-to-AD Conversion Prediction Using Future Value …

WebFeb 26, 2024 · The citations count are good measurement parameter to examine any research paper popularity. The author studied the citation count prediction to test … 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 …

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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. 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 ... 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 …

WebMay 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 … WebUniversity of California, Merced

WebDec 26, 2024 · It covers features from various categories of technical indicators, futures contracts, price of commodities, important indices of markets around the world, price of …

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 … botany wetlandsWebFeb 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 … botany without bordersWebSection 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 regression models to unify all possible features for prediction. We describe experiments and evaluations in Section 3, including performance comparisons and feature analysis. hawthorn bowling clubWebAug 10, 2024 · In addition, by analyzing factors that drive citation growth, we propose a multi-feature model for impact prediction. Experimental results demonstrate that the … botany woods swim teamhttp://keg.cs.tsinghua.edu.cn/jietang/publications/CIKM11-Yan-Citation-Count-Prediction.pdf hawthorn boots kellog idahoWebCitation Prediction Using Diverse Features. Harish S. Bhat, Li-Hsuan Huang, Sebastian Rodriguez, Rick Dale, Evan Heit. Citation Prediction Using Diverse Features. In IEEE … hawthorn bowls club saWebMay 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 … hawthorn boutique hotel tripadvisor