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A gallery of up-to-date and stylish LaTeX templates, examples to help you learn LaTeX, and papers and presentations published by our community. Search or browse below.

CS170 - Homework Template
a helpful LaTeX template for your [CS 170] homework
CS 170 course staff

Gabarit pour le devoir 1 : MAT-2903
Gabarit pour le devoir 1
MAT-2903 : Thèmes mathématiques pour l'enseignement secondaire.
Jérôme Soucy

Manual/Example for University of Arizona Theses and Dissertations formatted with ua-thesis.cls
This example dissertation contains the original text of the "Manual for Theses and Dissertations", written by the Graduate College at the University of Arizona, as distributed on CTAN.
Marcel Oliver

Landscape Beamer Poster Template
Jacobs Landscape Poster
LaTeX Template
Version 1.0 (29/03/13)
Created by:
Computational Physics and Biophysics Group, Jacobs University
https://teamwork.jacobs-university.de:8443/confluence/display/CoPandBiG/LaTeX+Poster
Further modified by:
Nathaniel Johnston (nathaniel@njohnston.ca)
This template has been downloaded from:
http://www.LaTeXTemplates.com
License:
CC BY-NC-SA 3.0 (http://creativecommons.org/licenses/by-nc-sa/3.0/)
Computational Physics and Biophysics Group, Jacobs University, with modification by Nathaniel Johnston and Vel Gayevskiy

Fibeamer for Utrecht University
An adaptation from the fibeamer theme for use in general Utrecht University presentations. Many thanks to the original authors for supplying the template.
Jurian Baas, Jan de Mooij

Operating Systems Laboratory
Template for OS Lab Report submission
Divjot Kaur

KUL Bachelorproef template
Nederlandstalig template voor bachelorproeven aan de KU Leuven in LaTeX
Arthur Depicker, Niels Souverijns

William Senfuma — Résumé
William Senfuma's Résumé
William Senfuma

Word Embeddings for Clinical Systems
In this paper, we evaluate a baseline word embedding model for a set of clinical notes derived from patient records. For our baseline, we extract features for this embedding using the Word2Vec module from the gensim package. We also build two models, a word2vec skipgram model with negative sampling and a positive point-wise mutual information (PPMI) model by training on the processed clinical notes. Our evaluation shows that both the PPMI and the skipgram models show improved results for medically-related terms when compared with the baseline model. PPMI shows the best result out of all three models.
Hathaitorn Rojnirun, Oluseye Bankole