◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Haw-minn Lu

4 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author1
  • first author2
  • last author1

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.LG2
  • cs.CR1
  • cs.SI1

identity via Semantic Scholar / OpenAlex

most citedNetwork visualizations with Pyvis and VisJS

11 citations · 11 across the 3 of their papers we have counts for

collaborators

4 papers

cs.SI2020★ 11 cited

Network visualizations with Pyvis and VisJS

Giancarlo Perrone, Jose Unpingco, Haw-minn Lu

Pyvis is a Python module that enables visualizing and interactively manipulating network graphs in the Jupyter notebook, or as a standalone web application. Pyvis is built on top o…

cs.CR2020

Securing Your Collaborative Jupyter Notebooks in the Cloud using Container and Load Balancing Services

Haw-minn Lu, Adrian Kwong, Jose Unpingco

Jupyter has become the go-to platform for developing data applications but data and security concerns, especially when dealing with healthcare, have become paramount for many insti…

cs.LG2020

Quasi-orthonormal Encoding for Machine Learning Applications

Haw-minn Lu

Most machine learning models, especially artificial neural networks, require numerical, not categorical data. We briefly describe the advantages and disadvantages of common encodin…

cs.LG2020

Multiple Imputation with Denoising Autoencoder using Metamorphic Truth and Imputation Feedback

Haw-minn Lu, Giancarlo Perrone, José Unpingco

Although data may be abundant, complete data is less so, due to missing columns or rows. This missingness undermines the performance of downstream data products that either omit in…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.