User profiles for Justin Sybrandt
Justin SybrandtGoogle DeepMind Verified email at sybrandt.com Cited by 317 |
Using drive-by health monitoring to detect bridge damage considering environmental and operational effects
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 …
response data that can be used to continuously evaluate the health of bridges faster and with …
Moliere: Automatic biomedical hypothesis generation system
Hypothesis generation is becoming a crucial time-saving technique which allows biomedical
researchers to quickly discover implicit connections between important concepts. Typically, …
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 …
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 …
complication of HIV infection. Viral proteins, including Tat, released from infected cells, cause …
AGATHA: automatic graph mining and transformer based hypothesis generation approach
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 …
winnow thousands of potential targets to a small candidate set. However, scientists spend …
Accelerating text mining using domain-specific stop word lists
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-…
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 …
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 …
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 …
in such areas as recommender systems, data visualization, and drug discovery. Machine …
Smartchoices: Augmenting software with learned implementations
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 …
perform many tasks far better than is possible using traditional software engineering …