Results 31 to 40 of about 1,611,945 (272)
Tile-Level Annotation of Satellite Images Using Multi-Level Max-Margin Discriminative Random Field
Remote Sensing, 2013 This paper proposes a multi-level max-margin discriminative analysis (M3DA) framework, which takes both coarse and fine semantics into consideration, for the annotation of high-resolution satellite images.
Hong Sun, Jiayu Chen, Fan Hu, Wen Yang
doaj +1 more source
Mining Review Unit Model for Online Review Analysis
IEEE Access, 2020 An increasing number of people are choosing to shop online; hence, online reviews are an increasingly influential factor in consumer purchasing decisions.
Qingxi Peng +3 more
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Applied Sciences, 2023 As the main driving force for the digital transformation of the construction industry, the uncertainty of digital technology in the application process has seriously hindered the high-quality development of the construction industry.
Hui Li +5 more
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Topic Taxonomy Expansion via Hierarchy-Aware Topic Phrase Generation [PDF]
arXiv, 2022 Topic taxonomies display hierarchical topic structures of a text corpus and provide topical knowledge to enhance various NLP applications. To dynamically incorporate new topic information, several recent studies have tried to expand (or complete) a topic taxonomy by inserting emerging topics identified in a set of new documents.
arxiv
GLTM: A Global and Local Word Embedding-Based Topic Model for Short Texts
IEEE Access, 2018 Short texts have become a kind of prevalent source of information, and discovering topical information from short text collections is valuable for many applications.
Wenxin Liang +4 more
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Improved Parsimonious Topic Modeling Based on the Bayesian Information Criterion
Entropy, 2020 In a previous work, a parsimonious topic model (PTM) was proposed for text corpora. In that work, unlike LDA, the modeling determined a subset of salient words for each topic, with topic-specific probabilities, with the rest of the words in the ...
Hang Wang, David Miller
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BERTopic: Neural topic modeling with a class-based TF-IDF procedure [PDF]
arXiv, 2022 Topic models can be useful tools to discover latent topics in collections of documents. Recent studies have shown the feasibility of approach topic modeling as a clustering task. We present BERTopic, a topic model that extends this process by extracting coherent topic representation through the development of a class-based variation of TF-IDF.
arxiv
FEBS Letters, EarlyView.In vivo IL‐10 produced by tissue‐resident tolDC is involved in maintaining/inducing tolerance. Depending on the agent used for ex vivo tolDC generation, cells acquire common features but prime T cells towards anergy, FOXP3+ Tregs, or Tr1 cells according to the levels of IL‐10 produced. Ex vivo‐induced tolDC were administered to patients to re‐establish/
Konstantina Morali +3 more
wiley +1 more source
FoxO1 signaling in B cell malignancies and its therapeutic targeting
FEBS Letters, EarlyView.FoxO1 has context‐specific tumor suppressor or oncogenic character in myeloid and B cell malignancies. This includes tumor‐promoting properties such as stemness maintenance and DNA damage tolerance in acute leukemias, or regulation of cell proliferation and survival, or migration in mature B cell malignancies.
Krystof Hlavac +3 more
wiley +1 more source
Semantic Recognition of Ship Motion Patterns Entering and Leaving Port Based on Topic Model
Journal of Marine Science and Engineering, 2022 Recognition and understanding of ship motion patterns have excellent application value for ship navigation and maritime supervision, i.e., route planning and maritime risk assessment.
Gaocai Li +5 more
doaj +1 more source