User profiles for Justin Sybrandt

Justin Sybrandt

Google DeepMind
Verified email at sybrandt.com
Cited by 317

Using drive-by health monitoring to detect bridge damage considering environmental and operational effects

W Locke, J Sybrandt, L Redmond, I Safro… - Journal of Sound and …, 2020 - Elsevier
Drive-by Health Monitoring utilizes accelerometers mounted on vehicles to gather dynamic
response data that can be used to continuously evaluate the health of bridges faster and with …

Moliere: Automatic biomedical hypothesis generation system

J Sybrandt, M Shtutman, I Safro - Proceedings of the 23rd ACM SIGKDD …, 2017 - dl.acm.org
Hypothesis generation is becoming a crucial time-saving technique which allows biomedical
researchers to quickly discover implicit connections between important concepts. Typically, …

To agile, or not to agile: A comparison of software development methodologies

R Shaydulin, J Sybrandt - arXiv preprint arXiv:1704.07469, 2017 - arxiv.org
Since the Agile Manifesto, many organizations have explored agile development methods
to replace traditional waterfall development. Interestingly, waterfall remains the most widely …

Inhibition of the Dead Box RNA Helicase 3 prevents HIV-1 Tat and cocaine-induced neurotoxicity by targeting microglia activation

M Aksenova, J Sybrandt, B Cui, V Sikirzhytski… - Journal of Neuroimmune …, 2020 - Springer
HIV-1 Associated Neurocognitive Disorder (HAND) is a common and clinically detrimental
complication of HIV infection. Viral proteins, including Tat, released from infected cells, cause …

AGATHA: automatic graph mining and transformer based hypothesis generation approach

J Sybrandt, I Tyagin, M Shtutman, I Safro - Proceedings of the 29th ACM …, 2020 - dl.acm.org
Medical research is risky and expensive. Drug discovery requires researchers to efficiently
winnow thousands of potential targets to a small candidate set. However, scientists spend …

Accelerating text mining using domain-specific stop word lists

…, A Apon, A Herzog, I Safro, J Sybrandt - … conference on big …, 2020 - ieeexplore.ieee.org
Text preprocessing is an essential step in text mining. Removing words that can negatively
impact the quality of prediction algorithms or are not informative enough is a crucial storage-…

Large-scale validation of hypothesis generation systems via candidate ranking

J Sybrandt, M Shtutman, I Safro - 2018 IEEE International …, 2018 - ieeexplore.ieee.org
The first step of many research projects is to define and rank a short list of candidates for
study. In the modern rapidity of scientific progress, some turn to automated hypothesis …

Are abstracts enough for hypothesis generation?

J Sybrandt, A Carrabba, A Herzog… - 2018 IEEE International …, 2018 - ieeexplore.ieee.org
The potential for automatic hypothesis generation (HG) systems to improve research productivity
keeps pace with the growing set of publicly available scientific information. But as data …

FOBE and HOBE: First-and high-order bipartite embeddings

J Sybrandt, I Safro - arXiv preprint arXiv:1905.10953, 2019 - arxiv.org
Typical graph embeddings may not capture type-specific bipartite graph features that arise
in such areas as recommender systems, data visualization, and drug discovery. Machine …

Smartchoices: Augmenting software with learned implementations

…, E Kokiopoulou, R Qin, N Sarda, J Sybrandt… - arXiv preprint arXiv …, 2023 - arxiv.org
We are living in a golden age of machine learning. Powerful models are being trained to
perform many tasks far better than is possible using traditional software engineering …