Results 51 to 60 of about 44,902,161 (285)
FEBS Letters, EarlyView.How do genomes gain new functional parts? In eukaryotes, which tend to evolve under weak selection, much of the genome is junk. Palazzo and Qiu borrow the logic of Markov chains to show how non‐functional DNA becomes functional through the appearance of intermediate states, which arise due to epistasis, buffering, and biochemical messiness, allowing ...
Alexander F. Palazzo, Yi Qiu
wiley +1 more source
Automatic Arabic Text Classification
, 2008 Automated document classification is an important text mining task especially with the rapid growth of the number of online documents present in Arabic language.
Khorsheed, M. S. +4 more
core +1 more source
Short Text Classification via Term Graph
CoRR, 2020 9 pages, 15 figures, Short Text Classification, Term ...
openaire +2 more sources
Deep Learning Classification of Traffic-Related Tweets: An Advanced Framework Using Deep Learning for Contextual Understanding and Traffic-Related Short Text Classification [PDF]
Classifying social media (SM) messages into relevant or irrelevant categories is challenging due to data sparsity, imbalance, and ambiguity. This study aims to improve Intelligent Transport Systems (ITS) by enhancing short text classification of traffic ...
Abdi, A. +5 more
core +1 more source
Molecular Oncology, EarlyView.Extracellular vesicle (EV) lipidomic profiling of plasma and ascites from patients with high‐grade serous ovarian cancer and of ovarian cancer cell lines reveals enrichment of triglycerides (TGs), diacylglycerols (DGs), phosphatidylcholine (PCs), sphingomyelins (SMs), reflecting tumor metabolic reprogramming.
Shikha Rani +9 more
wiley +1 more source
Frontiers in Genetics, 2023 With the exponential growth in the daily publication of scientific articles, automatic classification and categorization can assist in assigning articles to a predefined category.
Daniel Voskergian +3 more
doaj +1 more source
Multi-value Classification of Very Short Texts [PDF]
, 2008 We introduce a new stacking-like approach for multi-value classification. We apply this classification scheme using Naive Bayes, Rocchio and kNN classifiers on the well-known Reuters dataset. We use part-of-speech tagging for stopword removal. We show that our setup performs almost as well as other approaches that use the full article text even though ...
Andreas Heß 0002 +2 more
openaire +1 more source
text-classification: pre-release
, 2016 A presentation/tutorial on text classification from the basics to ...
Zichen Wang
core +1 more source
Short Text Classification Based on Hierarchical Heterogeneous Graph and LDA Fusion
, 2023 The proliferation of short texts resulting from the rapid advancements of social networks, online communication, and e-commerce has created a pressing need for short text classification in various applications.
Xinlan Xu +5 more
core +1 more source
An interpretable method for automated classification of spoken transcripts and written text [PDF]
, 2023 We investigate the differences between spoken language (in the form of radio show transcripts) and written language (Wikipedia articles) in the context of text classification.
Wahde, Mattias +15 more
core +1 more source