Results 91 to 100 of about 1,611,945 (272)
Using a topic model to map and analyze a large curriculum. [PDF]
PLoS One, 2023 Takizawa PA.
europepmc +1 more source
An Online Topic Modeling Framework with Topics Automatically Labeled [PDF]
arXiv, 2019 In this paper, we propose a novel online topic tracking framework, named IEDL, for tracking the topic changes related to deep learning techniques on Stack Exchange and automatically interpreting each identified topic. The proposed framework combines the prior topic distributions in a time window during inferring the topics in current time slice, and ...
arxiv
Molecular Oncology, EarlyView.Large multidimensional digital images of cancer tissue are becoming prolific, but many challenges exist to automatically extract relevant information from them using computational tools. We describe publicly available resources that have been developed jointly by expert and non‐expert computational biologists working together during a virtual hackathon
Sandhya Prabhakaran +16 more
wiley +1 more source
A computational approach to topic and focus in a production model [PDF]
, 1988 Vincenza Pignataro
openalex +1 more source
Targeted metabolomics reveals novel diagnostic biomarkers for colorectal cancer
Molecular Oncology, EarlyView.This study employed targeted metabolomic profiling to identify 302 distinct metabolites present in platelet‐rich plasma (PRP), revealing aberrant metabolic profiles amongst individuals diagnosed with colorectal cancer (CRC). Compared to carcinoembryonic antigen (CEA) and cancer antigen 19‐9 (CA199), our metabolite panel showed improved sensitivity ...
Zuojian Hu +7 more
wiley +1 more source
Molecular Oncology, EarlyView.CD226+CD8+ T cells express elevated levels of RUNX2, exhibit higher proliferation capacity, cytokines and cytolytic molecules expression, and migratory capacity. In contrast, CD226−CD8+ T cells display an exhausted phenotype associated with the increased expression of co‐inhibitory receptors and impaired effector functions.
Maryam Rezaeifar +4 more
wiley +1 more source
TCMHG: Topic-Based Cross-Modal Hypergraph Learning for Online Service Recommendations
IEEE Access, 2018 Online product reviews sentiment classification plays an important role on service recommendation, yet most of current researches on it only focus on single-modal information ignoring the complementary information, that results in unsatisfied accuracy of
Zhikui Chen +3 more
doaj +1 more source
Retracted: SDTM: A Novel Topic Model Framework for Syndrome Differentiation in Traditional Chinese Medicine. [PDF]
J Healthc Eng, 2023 Healthcare Engineering JO.
europepmc +1 more source
Addressing Topic Granularity and Hallucination in Large Language Models for Topic Modelling [PDF]
arXivLarge language models (LLMs) with their strong zero-shot topic extraction capabilities offer an alternative to probabilistic topic modelling and closed-set topic classification approaches. As zero-shot topic extractors, LLMs are expected to understand human instructions to generate relevant and non-hallucinated topics based on the given documents ...
arxiv