Results 61 to 70 of about 726,143 (311)
Classifying Web Exploits with Topic Modeling
, 2017 This short empirical paper investigates how well topic modeling and database meta-data characteristics can classify web and other proof-of-concept (PoC) exploits for publicly disclosed software vulnerabilities.
Ruohonen, Jukka
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Advanced Science, EarlyView.Human‐relevant methods are essential for modern chemical safety assessment. This study helps define the capabilities and boundaries of an in vitro testing battery for developmental neurotoxicity by exploring its biological applicability domain. By linking neurodevelopmental disease‐related pathways to key neurodevelopmental processes, the work enhances
Eliska Kuchovska +14 more
wiley +1 more source
Revstat Statistical Journal, 2020 This paper aims to analyze unstructured data using a text mining approach. The work was motivated in order to organize and structure research in Risk Theory.
Renata G. Alcoforado +1 more
doaj +1 more source
Advanced Science, EarlyView.An entity‐centric foundation model, GloPath, is introduced for comprehensive glomerular lesion assessment from routine renal biopsy images. Trained on over one million glomeruli, the framework enables robust lesion recognition, grading, and cross modality diag nosis, while uncovering large‐scale clinicopathological associations.
Qiming He +28 more
wiley +1 more source
Integrating Spatial Proteogenomics in Cancer Research
Advanced Science, EarlyView.Xx xx. ABSTRACT Background: Spatial proteogenomics marks a paradigm shift in oncology by integrating molecular analysis with spatial information from both spatial proteomics and other data modalities (e.g., spatial transcriptomics), thereby unveiling tumor heterogeneity and dynamic changes in the microenvironment.
Yida Wang +13 more
wiley +1 more source
Text mining methods: an answer to Chartier and Meunier [PDF]
, 2001 Almost 20 years ago, in a paper introducing the text mining (TM) technique to my fellow statisticians, I expressed the fear that: “it would be unfortunate that this technique, because it is apparently so easy to use, would be abused by incompetent ...
Lahlou, Saadi
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An Integrated NLP‐ML Framework for Property Prediction and Design of Steels
Advanced Science, EarlyView.This study presents a data‐driven framework that uses language‐processing techniques to interpret steel processing descriptions and machine‐learning models to predict mechanical properties. By organising complex process histories into meaningful groups and enabling rapid property forecasts, the work supports faster, more informed steel design through ...
Kiran Devraju +5 more
wiley +1 more source
Text mining for clinical support
Journal of the Medical Library Association, 2019 Background: In 2013, the Dahlgren Memorial Library (DML) at the Georgetown University Medical Center began using text mining software to enable its clinical informationists to quickly retrieve specific, relevant information from MEDLINE abstracts while ...
Jonathan Hartmann, Linda Van Keuren
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Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy
Advanced Science, EarlyView.Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu +4 more
wiley +1 more source
TEXT MINING – PREREQUISITE FOR KNOWLEDGE MANAGEMENT SYSTEMS [PDF]
Text mining is an interdisciplinary field with the main purpose of retrieving new knowledge from large collections of text documents. This paper presents the main techniques used for knowledge extraction through text mining and their main areas of ...
Dragoº Marcel VESPAN
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