Top stories published by Institute for Applied Computational Science in 2020 – Medium

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Top Stories published by Institute for Applied Computational Science in 2020

2020

January

February

March

April

June

July

August

September

October

November

Cynthia (Xinyue) Wang in Institute for Applied Computational Science

How Could Saliency Map Help to Improve Model Performance

Mark J. Carlebach in Institute for Applied Computational Science

Fine-tuning Bert for Multi-Label Text Classification

Simon Warchol in Institute for Applied Computational Science

Bias in NLP Embeddings

This article was produced as part of the final project for Harvard’s AC295 Fall 2020 course.

Authors: Simon Warchol, Patrick Ohiomoba, Paulina Toro Isaza, Jordan Turley

Rohit Beri in Institute for Applied Computational Science

Stock Return Prediction using Transfer Learning on Textual Data

Duo Zhang in Institute for Applied Computational Science

Automated Essay Grading

This article was produced as part of the final project for Harvard’s AC295 Fall 2020 course.

Yinyu Ji in Institute for Applied Computational Science

Analyzing E-Commerce Customer Reviews with NLP

By Junyi Guo, Yinyu Ji, Sam Woo, Cheng Zhan

Dimvamvourellis in Institute for Applied Computational Science

Mining Biomedical Text: Transfer Learning to the Rescue

Will Seaton in Institute for Applied Computational Science

Ecological Protection through Object Detection at Wind Farms

Gordon Hew in Institute for Applied Computational Science

Project “Pic this Caption”

This article was produced as part of the final project for Harvard’s AC295 Fall 2020 course.

Javin Pombra in Institute for Applied Computational Science

Fully-Deployed Encoder-Decoder Text-editing Tool

These were the top 10 stories published by Institute for Applied Computational Science in 2020. You can also dive into monthly archives for 2020 by using the calendar at the top of this page.

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Institute for Applied Computational Science

At the Harvard John A. Paulson School of Engineering and Applied Sciences, IACS is the home for students and faculty who are tackling major challenges in science and the world through the use of computational methods.

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Tags

Ecology And Environment

Yolo Object Detection

Object Detection

Machine Learning

Relation Extraction

Biomedical Research

Transfer Learning

Editors

Harvard IACS AC215

Writers

James Capobianco

juice county prodigy

Alison Yuhan Yao

Yuqin (Bailey) Bai

Jessica Gochioco

Gregory V. Bard

Luis Henrique Simplicio Ribeiro

Sivateja Tangirala

Joao Paulo de Oliveira Diogo