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LaTeX template for AfricaNLP Workshop Submissions. EACL 2021, Virtual Event Note from Overleaf: SyncTeX will not work correctly with this template (as well as other templates based on similar underlying code, eg CVPR, EMNLP, etc) when the line numbers are active. To make SyncTeX function while authoring your manuscript, either on Overleaf or in your own LaTeX installation, the line numbers have to be turned off by uncommenting \aclfinalcopy.

Created using the ModernCV template

Formato de tesis para la Universidad Técnica Particular de Loja (UTPL) versión 2021

Modelo de dissertação e de tese - UnB.

More details and instructions can be found here: https://github.com/CapraLab/lab-manuscript-template The goal of this template is to make formatting and writing a scientific manuscript easier and more standardized. This should be appropriate as a basic academic journal template, but the Capra Lab is an evolutionary genomics lab (submitting to journals like MBE, AJHG, Genome Biology, Nat Eco Evo, etc). Some of these suggestions are subjective and there is ultimately no one-size-fits-all for writing a paper. However, this will hopefully serve as a great place to start.

These are the instructions for preparing a CMBEC Abstract. Read the instructions in this sample paper carefully before typing; this template is based on the IFMBE template. Authors must upload their abstract in PDF format through the conference management system.

山中 卓 (大阪大学 大学院理学研究科 物理学専攻)先生が作成された科研費LaTeXを、坂東 慶太 (名古屋学院大学) が了承を得てテンプレート登録しています。 詳細はこちら↓をご確認ください。 http://osksn2.hep.sci.osaka-u.ac.jp/~taku/kakenhiLaTeX/

Modelo de relatório da disciplina de Sistemas Embarcados ministrada pelo Professor Giuliano Robledo Zucoloto Moreira no IFMT Campus Cuiabá - Cel. Octayde Jorge da Silva. EXCLUSIVAMENTE para os estudantes matriculados regularmente na disciplina este modelo se encontra disponível na sala virtual da disciplina no Ambiente Virtual de Aprendizagem.

We are asked to predict the probability of the event that a student will drop out a course. We firstly extracted many features from the huge dataset. Then we used ensemble learning machine and model stacking technique to get the final result, which ranked the 1st in 68 teams.