Video summarization using deep neural networks: A survey
Video summarization technologies aim to create a concise and complete synopsis by
selecting the most informative parts of the video content. Several approaches have been …
selecting the most informative parts of the video content. Several approaches have been …
Deep convolutional neural networks to predict cardiovascular risk from computed tomography
Coronary artery calcium is an accurate predictor of cardiovascular events. While it is visible
on all computed tomography (CT) scans of the chest, this information is not routinely …
on all computed tomography (CT) scans of the chest, this information is not routinely …
Improving model calibration with accuracy versus uncertainty optimization
R Krishnan, O Tickoo - Advances in Neural Information …, 2020 - proceedings.neurips.cc
Obtaining reliable and accurate quantification of uncertainty estimates from deep neural
networks is important in safety-critical applications. A well-calibrated model should be …
networks is important in safety-critical applications. A well-calibrated model should be …
Quantitative sustainable design (QSD) for the prioritization of research, development, and deployment of technologies: a tutorial and review
The pursuit of sustainability has catalyzed broad investment in the research, development,
and deployment (RD&D) of innovative water, sanitation, and resource recovery …
and deployment (RD&D) of innovative water, sanitation, and resource recovery …
Chemistry-informed machine learning for polymer electrolyte discovery
Solid polymer electrolytes (SPEs) have the potential to improve lithium-ion batteries by
enhancing safety and enabling higher energy densities. However, SPEs suffer from …
enhancing safety and enabling higher energy densities. However, SPEs suffer from …
[PDF][PDF] Rethinking the importance of sampling in physics-informed neural networks
Physics-informed neural networks (PINNs) have emerged as a powerful tool for solving
partial differential equations (PDEs) in a variety of domains. While previous research in …
partial differential equations (PDEs) in a variety of domains. While previous research in …
Automatic interpretation of strain distributions measured from distributed fiber optic sensors for crack monitoring
Y Liu, Y Bao - Measurement, 2023 - Elsevier
Distributed fiber optic sensors have exhibited superior capabilities in monitoring cracks in
engineering structures through measuring detailed strain distributions. However, manually …
engineering structures through measuring detailed strain distributions. However, manually …
[引用][C] The concise encyclopedia of statistics
Y Dodge - 2008 - books.google.com
The Concise Encyclopedia of Statistics presents the essential information about statistical
tests, concepts, and analytical methods in language that is accessible to practitioners and …
tests, concepts, and analytical methods in language that is accessible to practitioners and …
Pushing on text readability assessment: A transformer meets handcrafted linguistic features
We report two essential improvements in readability assessment: 1. three novel features in
advanced semantics and 2. the timely evidence that traditional ML models (eg Random …
advanced semantics and 2. the timely evidence that traditional ML models (eg Random …
Rethinking the evaluation of video summaries
Video summarization is a technique to create a short skim of the original video while
preserving the main stories/content. There exists a substantial interest in automatizing this …
preserving the main stories/content. There exists a substantial interest in automatizing this …