Results 71 to 80 of about 592,124 (303)
Supervised Text Classification using Text Search
CoRR, 2020 Supervised text classification is a classical and active area of ML research. In large enterprise, solutions to this problem has significant importance. This is specifically true in ticketing systems where prediction of the type and subtype of tickets given new incoming ticket text to find out optimal routing is a multi billion dollar industry. In this
Nabarun Mondal, Mrunal Lohia
openaire +2 more sources
Screening and epitope characterization of Nidogen‐2‐specific nanobodies
FEBS Open Bio, EarlyView.Camel immunization and phage display were employed to generate high‐affinity VHH nanobodies against Nidogen‐2. After library construction, biopanning, ELISA screening, sequencing, and recombinant expression, selected nanobodies were purified and characterized, leading to the preliminary exploration of a nanobody‐based sandwich ELISA for specific ...
Jianchuan Wen +9 more
wiley +1 more source
Variation of word frequencies across genre classification tasks [PDF]
, 2007 This paper examines automated genre classification of text documents and its role in enabling the effective management of digital documents by digital libraries and other repositories.
Ross, S., Kim, Y.
core
FEBS Open Bio, EarlyView.UiO‐66(Zr) metal–organic frameworks are chemically stable, biocompatible, and highly tunable nanomaterials. Their modular structure enables controlled drug delivery, multimodal bioimaging, and light‐activated photodynamic therapy, supporting integrated diagnostic and therapeutic (theranostic) applications in cancer and biomedical research.
Veronika Huntošová +2 more
wiley +1 more source
Variations of word frequencies in Genre classification tasks. [PDF]
, 2007 This paper examines automated genre classification of text documents and its role in enabling the effective management of digital documents by digital libraries and other repositories.
Kim, Dr Yunhyong, Ross, Seamus
core
Key technology research and model validation of text classification system based on deep learning
Dianxin kexue, 2018 Text classification is very important to text data mining and value exploration.The traditional text classification system has problems of weak feature extraction ability and low classification accuracy.Compared with the traditional text classification ...
Shaomin WANG, Di YANG, Hua REN
doaj +2 more sources
MagmaFlow: A desktop platform for artificial intelligence‐driven expression analysis
FEBS Open Bio, EarlyView.MagmaFlow is a free, no‐code platform for gene expression analysis. It generates interactive volcano plots, links genes to literature, pathways, and diseases, prioritizes candidates using millions of publications, identifies affected biological processes, builds network diagrams, and exports publication‐ready figures and reports for macOS and Windows ...
Carlos E. Buss +7 more
wiley +1 more source
Polyseme-Aware Vector Representation for Text Classification
IEEE Access, 2020 Representation models for text classification have recently shown impressive performance. However, these models neglect the importance of polysemous words in text.
Shun Guo, Nianmin Yao
doaj +1 more source
Aging and Cancer, EarlyView.This systematic review synthesizes prognostic models for survival and recurrence in resected non‐small cell lung cancer. While many models demonstrate moderate to good discrimination, few are externally validated and reporting quality is variable, limiting clinical applicability and highlighting the need for robust, transparent model development ...
Evangeline Samuel +4 more
wiley +1 more source
Rough set based approach to text classification [PDF]
, 2013 Textual document set has become an important and rapidly growing information source in the web. Text classification is one of the crucial technologies for information organisation and management. Text classification has become more and more important and
Nadee, Wanvimol +7 more
core +1 more source