Results 271 to 280 of about 340,402 (344)

Public Attention to Mpox in China During the Pandemic: Qualitative Analysis of TikTok Data Using Latent Dirichlet Allocation Topic Modeling.

J Med Internet Res
Luo D, Xu J, Jiang Y, Tan M, Yao Y, He L, Ma J, Dong W, Luo W, Zhou C.   +9 more
europepmc   +1 more source

The current landscape and emerging challenges of benchmarking single-cell methods. [PDF]

Brief Bioinform
Cao Y, Yu L, Torkel M, Kim S, Lin Y, Yang P, Speed TP, Ghazanfar S, Yang JYH.   +8 more
europepmc   +1 more source

The Segmented Interview: Partitioning the Initial Free Recall Topics into Segments to Enhance Information Gathering and Lie Detection. [PDF]

Behav Sci (Basel)
Deeb H, Vrij A, Severino M, Leal S.
europepmc   +1 more source

Strong approximations for the general bootstrap of empirical processes with applications in selected topics of nonparametric statistics

, 2019
Salim Bouzebda, Omar El‐Dakkak
openalex   +1 more source

Effects of YouTube Health Videos on Mental Health Literacy in Adolescents and Teachers: Randomized Controlled Trial.

JMIR Ment Health
Schröder R, Hamer T, Kruzewitz V, Busch E, Suhr R, König L.   +5 more
europepmc   +1 more source

Exploring Gender Perspectives in Medical Education: Latent Semantic Analysis of Israeli First-Year Medical Students' Reflections.

JMIR Med Educ
Khamisy-Farah R, Farah R, Jabaly-Habib H, Nakhleh Francis Y, Bragazzi NL.   +4 more
europepmc   +1 more source

Topics in Spatial Statistics

, 1992
Hjort, Nils Lid, Omre, Henning
openaire   +1 more source

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A decade of research in statistics: a topic model approach

Scientometrics, 2015
Topic models are a well known clustering approach for textual data, which provides promising applications in the bibliometric context for the purpose of discovering scientific topics and trends in a corpus of scientific publications. However, topic models per se provide poorly descriptive metadata featuring the discovered clusters of publications and ...
F. De Battisti, A. Ferrara, S. Salini
openaire   +5 more sources