Results 171 to 180 of about 814,278 (307)

Semantic information stored in an extended denormalized database [PDF]

, 2006
The research project, which we hereby detail, has been utterly dedicated to explain the birth and evolution of an information repository called XTMdb whose basic principles are bound to integrate complementary tagging languages such as: SKOS; MODS ...
Tramullas, Jesús, Garrido, Piedad
core  

Learning Multimodal Latent Attributes

, 2014
—The rapid development of social media sharing has created a huge demand for automatic media classification and annotation techniques. Attribute learning has emerged as a promising paradigm for bridging the semantic gap and addressing data sparsity via ...
Yanwei Fu, Tao Xiang, Fu, Y, Timothy M. Hospedales, Shaogang Gong, Xiang, T, Hospedales, TM, Gong, S   +7 more
core   +1 more source

Research on the Application of Topic Models Based on Geological Disaster Information Mining

Information
Geological disasters, as a common occurrence, have a serious impact on social development in terms of their frequency of occurrence, disaster effects, and resulting losses.
Gang Cheng, Qinliang You, Gangqiang Li, Youcai Li, Daisong Yang, Jinghong Wu, Yaxi Wu   +6 more
doaj   +1 more source

Implementation of a graph-embedded topic model for analysis of population-level electronic health records. [PDF]

STAR Protoc, 2023
Wang Y, Grant AV, Li Y.
europepmc   +1 more source

Heterozygous loss‐of‐function alleles associate the conserved 3′‐5′ exoribonuclease EXOSC10 with hypersensitivity to the anticancer drug 5‐fluorouracil

Molecular Oncology, EarlyView.
EXOSC10, an essential nuclear RNA exosome‐associated 3′‐5′ exoribonuclease, is inhibited by the anticancer drug 5‐fluorouracil (5‐FU), and EXOSC10 depletion increases 5‐FU sensitivity. The colon‐cancer variant EXOSC10S402T, located in a proteolysis motif, is stable and nuclear but nonfunctional in vivo.
Radhika Sain, Yann Le Page, Frédéric Percevault, Emmanuelle Becker, Luc Negroni, Almudena Fernandez, Marta Cantero, Diego Muñoz‐Santos, Lluís Montoliu, Cyrille Garnier, Michael Primig   +10 more
wiley   +1 more source

Continuous-time infinite dynamic topic models

Doctor of PhilosophyDepartment of Computing and Information SciencesWilliam Henry HsuTopic models are probabilistic models for discovering topical themes in collections of documents.
Elshamy, Wesam Samy
core  

Transcriptional profiling of circulating extracellular vesicles from prebiopsy prostate cancer patients

Molecular Oncology, EarlyView.
RNA profiling of circulating extracellular vesicles (EVs) from blood samples of men undergoing prostate biopsy identifies transcripts associated with clinically significant prostate cancer. Integrative analysis with public tumor datasets links EV‐derived gene signatures to tumor stage and progression‐free survival, highlighting CASP3, XRCC2, and RIT1 ...
Stefan Werner, Pierre Tennstedt, Randi C. Pose, Christian Müller, Katharina Besler, Svenja Schneegans, Malik Alawi, Marie C. Roesch, Sven Peine, Desiree Bonci, Joanna Budna‐Tukan, Evi Lianidou, Catherine Alix‐Panabières, Derya Tilki, Klaus Pantel   +14 more
wiley   +1 more source

The Role of VR in Education: A Two-Phase Review of Umbrella Reviews and Recent Primary Studies

IEEE Access
The use of virtual reality (VR) in research and development has increased dramatically across various fields over the past decade, and education is no exception.
Jeri Varjosalo, Paavo Raty, Ville Heilala, Raija Hamalainen, Tommi Karkkainen   +4 more
doaj   +1 more source

Imputation method for single-cell RNA-seq data using neural topic model. [PDF]

Gigascience, 2022
Qi Y, Han S, Tang L, Liu L.
europepmc   +1 more source

Neural Topic Modelling of Short Text Survey Responses in Italian Market Research

reservedThis research introduces a novel model architecture designed to tackle the challenges of short-text topic modelling on corpora of open-ended survey questions.
CASARELLA, CECILIA
core