LAUSR

Identifying relations of medications with adverse drug events using recurrent convolutional neural networks and gradient boosting

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0 Published in 2020 at "Journal of the American Medical Informatics Association : JAMIA"

DOI: 10.1093/jamia/ocz144

Abstract: OBJECTIVE To develop a natural language processing system that identifies relations of medications with adverse drug events from clinical narratives. This project is part of the 2018 n2c2 challenge. MATERIALS AND METHODS We developed a… read more here.

Keywords: recurrent convolutional; convolutional neural; drug events; adverse drug ... See more keywords

Multi-Channel Recurrent Convolutional Neural Networks for Energy Disaggregation

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0 Published in 2019 at "IEEE Access"

DOI: 10.1109/access.2019.2923742

Abstract: Power consumption signals of household appliances are characterized by randomly occurring events (e.g. switch-on events), making timeseries modeling a demanding process. In this paper, we propose a convolutional neural network (CNN)-based architecture with inputs and… read more here.

Keywords: recurrent convolutional; power; channel recurrent; energy ... See more keywords

Combining Long-Term Recurrent Convolutional and Graph Convolutional Networks to Detect Phishing Sites Using URL and HTML

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1 Published in 2022 at "IEEE Access"

DOI: 10.1109/access.2022.3196018

Abstract: Phishing, a well-known cyber-attack practice has gained significant research attention in the cyber-security domain for the last two decades due to its dynamic attacking strategies. Although different solutions have been exercised against phishing, phishing attacks… read more here.

Keywords: long term; graph convolutional; recurrent convolutional; url html ... See more keywords

PARC: Physics-aware recurrent convolutional neural networks to assimilate meso scale reactive mechanics of energetic materials

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1 Published in 2022 at "Science Advances"

DOI: 10.1126/sciadv.add6868

Abstract: The thermo-mechanical response of shock-initiated energetic materials (EMs) is highly influenced by their microstructures, presenting an opportunity to engineer EM microstructures in a “materials-by-design” framework. However, the current design practice is limited, as a large… read more here.

Keywords: physics; aware recurrent; recurrent convolutional; physics aware ... See more keywords

Word Sense Disambiguation of Medical Terms via Recurrent Convolutional Neural Networks

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0 Published in 2017 at "Studies in health technology and informatics"

DOI: 10.3233/978-1-61499-759-7-8

Abstract: BACKGROUND Tagging text data with codes representing biomedical concepts plays an important role in medical data management and analysis. A problem occurs if there are ambiguous words linked to several concepts. OBJECTIVES AND METHODS This… read more here.

Keywords: recurrent convolutional; word; sense; sense disambiguation ... See more keywords