Titlebook: Computational Data and Social Networks; 11th International C Thang N. Dinh,Minming Li Conference proceedings 2023 The Editor(s) (if applica

Condescending

https://doi.org/10.1057/9781403919465L) classifiers can predict the SJR and IF of journals utilizing EIC’s scholarly reputation metrics. It is observed that the comparative rankings (based on various metrics) of top AI journals do not correlate with the EiC’s scholarly achievements. The high prediction errors of ML classifiers indicate

Outshine

Stereotypes, Language and the Media: ,?the largest number of subtheories was born. For this day it is taken as the base for teaching artists. We utilize novel dataset of 3,885 paintings collected from Christie’s and Sotheby’s and find that color harmony has a little explanatory power, color complexity metrics are impact price negatively

令人作嘔

temperate

工作

V. Austel,A. T. Balaban,I. Motocwas annotated in two ways; either it condemned or condoned anti-Asian bias, and whether it was offensive or non-offensive. A rich set of features both from the text and accompanying numerical data were extracted. These features were used to train conventional machine learning and deep learning model

親愛(ài)

Incorporating Neighborhood Information and?Sentence Embedding Similarity into?a?Repost Prediction Mong. Traditional methods for repost prediction can be categorized into stochastic diffusion based models and user profile or content features based machine learning models. In this paper, we propose a new framework combining user profile, content similarity and the neighborhood information around eac

移植

Driving Factors of?Polarization on?Twitter During Protests Against COVID-19 Mitigation Measures in?Vinfections in Austria (particularly in Vienna). We focus on predicting users’ protest activity by leveraging machine learning methods and individual driving factors such as language features of users supporting/opposing Corona protests. For evaluation of our methods we utilize novel datasets, collec

不溶解

Categorizing Memes About the?Ukraine Conflict critical for governments and similar stakeholders to identify pro-Russia memes, countering them with evidence-based information. Identifying broad meme themes is crucial for developing a targeted and strategic counter response. There are also a range of pro-Ukraine memes that bolster support for th

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Analyzing Scientometric Indicators of?Journals and?Chief Editors: A Case Study in?Artificial Intelli mining various scientometric data. The associations between these two types of entities are studied with respect to the top AI journals (selected based on Google Scholar ranking) and journals from various quartiles (based on Scimago quartile ranking). Three quantitative reputation metrics (i.e., ci

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