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Predicting scientific success based on coauthorship networks
... institutions, scientific communities or even countries citing each other. These findings suggest that citations are indeed a complex phenomenon which have both cognitive and a social dimension [, ]. The complex character ... See full document
5
Predicting Movie Success Based On Imdb Data
... The success percentage for all models, while not good enough for industrial use, is in the close proximity of values obtained in previous ...social networks data analysis [9] could be done and the ... See full document
31
A Machine Learning Proposal for Predicting the Success Rate of IT Projects Based on Project Metrics Before Initiation
... of success of a project is an illusion due to the uniqueness of all projects and due to all different perceptions on success from different ...critical success factors in order to state whether a ... See full document
150
Empirical Success or Explanatory Success: What does Current Scientific Realism Need to Explain?
... empirical success employed by ...empirical success a simple, one-dimensional, unproblematic feature of ...in predicting and controlling observational phenomena (Psillos 1999, ...empirical ... See full document
30
Toward predicting research proposal success
... There are both theoretical and practical reasons for analyzing research proposal success and failure. From a theoretical perspective, it is important to realize that much of the recent progress in modeling how ... See full document
368
Characterizing and Predicting Scientific Workloads for Heterogeneous Computing Systems
... times based on the 28 AIWC metrics for all 64k ...general networks with multiple hidden layers were considered but the sample size was insufficient to ensure valid convergence of the learning function and ... See full document
30
Gaseous fuel mixture parameter prediction in a steel works using minimalist neural networks
... existing networks developed in the previous sections using the linear networks as indicators, in order to re-examine the results when verified without out the above gradient being ... See full document
27
Predicting success in university accounting examination performance
... on success in subsequent accounting courses has significant implications for education strategy and policies at accounting ...student's success in the first year of study is an important predictor of his or ... See full document
24
Predicting Academic Success Using Admission Profiles
... admission based on minimum ...is based on the candidate’s rank according to her or his matriculation certificate grades, which are weighted according to each graduating ...is based on matriculation ... See full document
27
Similarity, Adequacy, and Purpose: Understanding the Success of Scientific Models
... philosophical work on modeling more generally 69 . The role of evidence in the discussion of modelling can be quite messy, however what my framework provides is a means for identifying where evidential considerations ... See full document
11
Predicting Long Term Impact of Scientific Publications
... Then, we propose a model to predict the quantiles of the distribution of the number of additional citations that scientific publications receive after the first year. We study three variants of the model: one uses ... See full document
228
Modelling of fire spread and the growth of fire in buildings using computational fluid dynamics
... Work is also being performed, with much success, in predicting the behaviour of full scale enclosure fires based on bench scale data, such as the EUREFIC project'^ which made predictio[r] ... See full document
11
Analysis and Neural Networks Modeling of Web Server Performances Using MySQL and PostgreSQL
... server based on: the number of simultaneous connection instances of clients, the number of tables requested by SQL queries, and the number of records to dis- ... See full document
181
Artificial Intelligence Technique for Speech Recognition Based on Neural Networks
... Neural network estimation was carried out as follows. There have been several runs of the system (here are the results for 20 runs). In each run was chosen as the test case with the worst result and calculated ... See full document
88
Deep Convolution Neural Networks for Automatic Eyeglasses Removal
... the success of deep convolutional neural networks (DCNN) on super resolution, in this paper, a method based on deep convolutional neural network is developed for automatic eyeglasses removal from ... See full document
12
Improving Scientific Search Engine Interfaces Using Scientific Networks
... 3.4.2.2. Data acquisition. Scientific networks rely on bibliometric data, how- ever, this data is not easily obtained and used. As examined in previous re- search [1] bibliometric data can be freely ... See full document
70
Predicting a Scientific Community’s Response to an Article
... Table 3 shows mean absolute errors for each method on both forecasting test splits, and mean ab- solute errors averaged across papers over nine mod- eling test splits. For interpretability, we report pre- dictions in ... See full document
14
Predicting Success in Dialogue
... In a conversation, priming may lead a speaker to choose a verb over a synonym because their in- terlocutor has used it a few seconds before. This, in turn, will increase the likelihood of the struc- tural form of the ... See full document
74
Credit allocation based on journal impact factor and coauthorship contribution
... The impact factor (IF) is a citation-based measure for performance related to prestige and proliferation of journals in which research institutions publish their papers (Mattsson et al. 2011). A journal’s IF gives ... See full document
106
Avoiding routine postoperative voiding cystourethrogram: Predicting radiologic success for endoscopically treated vesicoureteral reflux
... Overall, the majority of these previous studies evaluating the predictive performance of IMM and PUM on radiologic success includes a significant proportion of children treated with a STING technique; as well as ... See full document
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