Citation prediction using diverse features

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August undefined, 2024

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 … 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 …

Citation Classification Prediction Implying Text Features …

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://keg.cs.tsinghua.edu.cn/jietang/publications/CIKM11-Yan-Citation-Count-Prediction.pdf philosopher crossword

A deep-learning based citation count prediction model with paper

WebOct 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 … 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 ... philosopher comics

Predicting article citations using data of 100 top-cited ... - LWW

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 ... 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. … philosopher comedianWebJul 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 [] … tshaka footballer

"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 prediction using diverse features

Citation prediction using diverse features

Transfer learning with convolutional neural networks for cancer

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 ... WebDATID-3D: Diversity-Preserved Domain Adaptation Using Text-to-Image Diffusion for 3D Generative Model Gwanghyun Kim · Se Young Chun NÜWA-LIP: Language-guided …

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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 … 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.

WebIn this paper we tackle the task of citation count prediction using existing and new features. We apply the technique to multiple domains, identifying differences both in the … 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.

WebOct 30, 2024 · 2.4 Prediction power on article citations. To achieve the second objective of this study, we computed the weights for the number of citations on MeSH terms per article according to the proportions and citations using Eqs. (1) to (5) below: where A L denotes the number of MeSH in an article. The weighted count of a specific MeSH term is defined ...

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 …

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 … philosopher consequentialism ethicsWebAug 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 … philosopher david chalmersWebSection 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 … philosopher comteWebUniversity of California, Merced philosopher davidWebFeb 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, … philosopher crocehttp://keg.cs.tsinghua.edu.cn/jietang/publications/CIKM11-Yan-Citation-Count-Prediction.pdf tsh ahWebMay 21, 2024 · To facilitate comparison between our method and relevant baselines, we chose baseline features from previous studies. Basic features that are commonly used … philosopher culture index