Skeleton-based human action recognition with graph neural networks by U S Vaitesswar

“…Skeleton-based action recognition is a long-standing task in computer vision which aims to distinguish different human actions by identifying their unique characteristic patterns in the input data. …”
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Skeleton-based online action prediction using scale selection network by Liu, Jun, Shahroudy, Amir, Wang, Gang, Duan, Ling-Yu, Kot, Alex C.

“…The extensive experiments demonstrate the effectiveness of our method for skeleton-based online action prediction.…”
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Hierarchical skeleton Meta-Prototype Contrastive learning with hard skeleton mining for unsupervised person re-identification by Rao, Haocong, Leung, Cyril, Miao, Chunyan

“…With rapid advancements in depth sensors and deep learning, skeleton-based person re-identification (re-ID) models have recently achieved remarkable progress with many advantages. …”
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Principled Exploration of Bipyridine and Terpyridine Additives to Promote Methylammonium Lead Iodide Perovskite Crystallization by Hartono, Noor Titan Putri, Ani Najeeb, Mansoor, Li, Zhi, Nega, Philip W., Fleming, Clare A., Sun, Xiaohe, Chan, Emory M., Abate, Antonio, Norquist, Alexander J., Schrier, Joshua, Buonassisi, Tonio

“…We present a systematic exploration of nine (9) bipyridine- and terpyridine-based additives selected from 29 candidates using high-throughput single-crystal growth. To combat selection bias and generate hypotheses for future experimental cycles of learning, we featurize candidate additives using Mordred descriptors and compare similarity metrics. …”
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Human activity analysis using radio signals by Fan, Lijie(Biologist)Massachusetts Institute of Technology.

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Methodological, political and legal issues in the assessment of the effects of nanotechnology on human health by Schulte, Paul A, Riediker, Michael, Fatkhutdinova, Liliya, Bergamaschi, Enrico, Canu, Irina Guseva

“…Forming ENM worker cohorts from a combination of smaller cohorts and overcoming selection bias are also challenges. National or international registries for monitoring the exposures and health of ENM workers would be helpful for epidemiological studies, but the creation of such a registry and ENM worker cohorts will require political support and dedicated funding at the national and international levels. …”
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The GCSE attainment gap: assessing the influence of permanent school exclusion by Hills, Stephen, Walker, Matthew, Guinn, James, Kent, Aubrey

“…This is a critical limitation of the research due to the influence of confounding variables and sample selection bias. Using the National Pupil Database and a full cohort of UK pupils (N=590,092), our analysis tracked a sample of 1,490 pupils permanently excluded in year 11 of the English education system in 2018/19. …”
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Searching for Strong Gravitational Lenses by Lemon, Cameron, Courbin, Frédéric, More, Anupreeta, Schechter, Paul, Cañameras, Raoul, Delchambre, Ludovic, Leung, Calvin, Shu, Yiping, Spiniello, Chiara, Hezaveh, Yashar, Klüter, Jonas, McMahon, Richard

“…To use the current lens samples for science, and for the design of future searches, we list several selection biases that exist due to these discovery techniques. …”
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