Citation prediction using diverse features

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Web12 rows · Feb 1, 2024 · Citation prediction of scholarly papers has been extensively investigated, and these studies are ... 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 …

DiverseDepth: Affine-invariant Depth Prediction Using Diverse …

WebAug 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 … 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 … ciot exam results may 2022

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

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 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 … WebMay 21, 2024 · To facilitate comparison between our method and relevant baselines, we chose baseline features from previous studies. Basic features that are commonly used … 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 … dialog viu for windows 11

Citation Count Prediction: Learning to Estimate Future …

Attention-Based Multi-fusion Method for Citation Prediction

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 … 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. … ciot exam softwareWebJul 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 [] … ciot hardwood

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Citation prediction using diverse features

Transfer learning with convolutional neural networks for cancer

WebJun 3, 2024 · Diabetes can be predicted using a model developed by Çalişir and Doǧantekin, known as LDA-MWSVM . Linear discriminant analysis (LDA) was utilized to reduce dimensionality and extract features in this system . High-dimensional datasets necessitated logistic regression to build prediction models for diverse onsets of type 2 … WebCitation Prediction Using Diverse Features. Harish S. Bhat, Li-Hsuan Huang, Sebastian Rodriguez, Rick Dale, Evan Heit. Citation Prediction Using Diverse Features. In IEEE …

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WebJun 5, 2024 · Moreover, they selected five features with a significant impact on the prediction performance of the model from all the 30 features, i.e., the number of …

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. … 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.

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 ... 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 ...

WebMar 26, 2024 · Despite diverse feature selection and extraction strategies have been traditionally applied to surpass derived over-fitting issues, the efficacy of standard machine learning pipelines is far from being satisfactory for the prediction of relevant clinical outcomes like follow-up end-points or patient’s survival.

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 ... ciot exam timetableWebOct 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 … ciothes是什么意思http://keg.cs.tsinghua.edu.cn/jietang/publications/CIKM11-Yan-Citation-Count-Prediction.pdf dialog wifi wingleWebAug 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 … cio-tim infrastructure services exam tech mWebDec 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 … ciot grey stoneWebOct 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 … ciot lume white luxWebMay 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 … ciot exam registration