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EI-CFAIS 2021 : 2021 International Conference on Frontiers of Artificial Intelligence and Statistics (CFAIS 2021) | |||||||||||||||
Link: http://www.cfais.org/ | |||||||||||||||
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Call For Papers | |||||||||||||||
★2021 International Conference on Frontiers of Artificial Intelligence and Statistics (CFAIS 2021)--Ei Compendex & Scopus—Call for paper
December 1-3, 2021|Beijing, China|Website: www.cfais.org ★CFAIS 2021 welcomes researchers, engineers, scientists and industry professionals to an open forum where advances in the field of Artificial Intelligence and Statistics can be shared and examined. The conference is an ideal platform for keeping up with advances and changes to a consistently morphing field. Leading researchers and industry experts from around the globe will be presenting the latest studies through papers and oral presentations. ★Publication and Indexing All accepted papers will be published in the digital conference proceedings which will send to be indexed by all major citation databases such as Ei Compendex, Scopus, CPCI, Google Scholar, Cambridge Scientific Abstracts (CSA), Inspec, SCImago Journal & Country Rank (SJR), EBSCO, CrossRef, Thomson Reuters (WoS), etc. A selection of papers will be recommended to be published in the International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems as special issue (Impact Factor: 1.286), which will be abstracted and indexed in: Science Citation Index Expanded (SCIE), ISI Alerting Services, CompuMath Citation Index, Current Contents/Engineering, Computing & Technology, ACM Guide to Computing Literature, Mathematical Reviews, Inspec, Zentralblatt MATH and Compendex. ★Keynote Speakers Prof. Osvaldo N. Oliveira Jr., University of São Paulo, Brazil ★Program Preview/ Program at a glance December 1: Registration + Icebreaker Reception December 2: Opening Ceremony+ KN Speech+ Technical Sessions December 3: Technical Sessions+ Half day tour/Lab tours ★Paper Submission 1.PDF version submit via CMT: https://cmt3.research.microsoft.com/CFAIS2021 2.Submit Via email directly to: cfais@hksra.org ★CONTACT US Ms. Willa P. P. Wong Email: cfais@hksra.org Website: www.cfais.org Call for papers(http://www.cfais.org/cfp.html): Algorithms and architectures for high-performance computation Manifolds and embedding Approximate inference Multi-agent systems Bayesian models and estimation No-regret learning Business Process Intelligence Non-Bayesian models and estimation Causality Nonparametric models Classification Regression Clustering Reinforcement learning, planning, control Deep learning including optimization Relational learning Density estimation Software for and applications of AI and statistics Game theory Solicited topics Gaussian processes Sparsity and compressed sensing Generalization and architectures Statistical and computational learning theory Graphical models Structured prediction Including learning with privacy and fairness Topic models Interpretability and robustness Trustworthy learning Kernel methods Unsupervised and semi-supervised learning Logic and probability |
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