https://repository.lib.umassd.edu/esploro/outputs/conferenceProceeding/Learning-and-knowledge-extraction-from-a/9914519212201301
Learning and knowledge extraction from a potential based neural network - University of...
In this paper, we present a strategy of shape-adaptive radial basis functions (RBF) based on potential functions. We also propose a neural network topology,...
knowledge extractionneural networkuniversity oflearningpotential
https://deepwiki.com/yuanxiaosc/Schema-based-Knowledge-Extraction/3.3-training-optimization
Training Optimization | yuanxiaosc/Schema-based-Knowledge-Extraction | DeepWiki
This document covers the training optimization components that form the foundation for BERT model training and fine-tuning. The optimization system implements...
knowledge extractiontrainingoptimizationschemabased
https://cris.fbk.eu/handle/11582/305213
A 2-phase frame-based knowledge extraction framework
knowledge extractionphaseframebased
https://repositorio.inesctec.pt/items/965d288b-5f92-4add-bb6d-09874efdd876/full
Improving the IEC Table for Transformer Failure Diagnosis with Knowledge Extraction from Neural...
knowledge extractionimprovingiectabletransformer
https://wos-journal.info/journalid/6017
Machine Learning and Knowledge Extraction - Impact Factor, Quartile, Ranking
machine learningknowledge extractionimpact factorquartileranking
https://sure.sunderland.ac.uk/id/eprint/5147/
Knowledge extraction and insertion from radial basis function networks - SURE
knowledge extractioninsertionradialbasisfunction
https://bjopm.org.br/bjopm/article/view/767
Knowledge extraction on international markets from patent bases: a study on green patents |...
knowledge extractioninternational marketsstudy greenpatentbases
https://www.ipam.ucla.edu/programs/workshops/cyber-enabled-discovery-and-innovation-knowledge-extraction/
Cyber-Enabled Discovery and Innovation: Knowledge Extraction - IPAM
Apr 5, 2026 - Cyber-Enabled Discovery and Innovation: Knowledge Extraction
discovery and innovationknowledge extractioncyberenabledipam
https://ricerca.uniba.it/handle/11586/117819
A Hybrid Strategy for Knowledge Extraction from Biomedical Documents
knowledge extractionhybridstrategybiomedicaldocuments
https://research.cbs.dk/en/publications/the-danterm-project-automatic-knowledge-extraction-and-knowledge-/
The DanTerm Project: Automatic Knowledge Extraction and Knowledge Structuring for a National Team...
knowledge extractionnational teamprojectautomaticstructuring
https://openreview.net/forum?id=cPsn9AcOYh&referrer=%5Bthe%20profile%20of%20Gaurav%20Rohit%20Ghosal%5D(%2Fprofile%3Fid%3D~Gaurav_Rohit_Ghosal1)
Understanding Finetuning for Factual Knowledge Extraction | OpenReview
In this work, we study the impact of QA fine-tuning data on downstream factuality. We show that fine-tuning on lesser-known facts that are poorly stored during...
knowledge extractionunderstandingfinetuningfactualopenreview
https://www.ijisae.org/index.php/IJISAE/article/view/8165
Reliable Multimodal AI for Structured Knowledge Extraction and Study Material Generation in Real...
multimodal aiknowledge extractionstudy materialreliablestructured
https://dspace.rpi.edu/items/11a021ed-f7bb-4fac-867e-bf244600ed29
Knowledge Extraction of Cohort Characteristics in Research Publications
When healthcare providers review the results of a clinical trial study to understand its applicability to their practice, they typically analyze how well the...
knowledge extractionin researchcohortcharacteristicspublications
https://mediacenter.ibm.com/media/IBM+helps+boost+Hondas+efficiency+with+AI-driven+knowledge+extraction%2C+expecting+to+slash+documentation+modeling+time+by+67/1_vw66tbbh
IBM helps boost Honda's efficiency with AI-driven knowledge extraction, expecting to slash...
The automotive industry is shifting gears towards a future fuelled by electrification and intelligence. This acceleration is redefining knowledge modeling as...
knowledge extractionibmhelpsboosthonda
https://iris.enea.it/handle/20.500.12079/60865
"Knowledge Extraction from Social Media Web Sources: Elements affecting Web Crawling and Data...
knowledge extractionsocial mediawebsourceselements
https://journal.qubahan.com/index.php/qaj/article/view/43/27
View of The Concept of Data Mining and Knowledge Extraction Techniques
the conceptdata miningknowledge extractionviewtechniques
https://amsdottorato.unibo.it/id/eprint/11194/
Advancing digital healthcare research and machine learning-aided knowledge extraction amidst the...
digital healthcaremachine learningknowledge extractionadvancingresearch
https://www.jucs.org/jucs_17_7/knowledge_extraction_from_RDF/
Index of /jucs_17_7/knowledge_extraction_from_RDF
index ofknowledge extractionrdf
https://repositum.tuwien.at/handle/20.500.12708/67644
reposiTUm: Engineering Knowledge Extraction for Semantic Interoperability between CAD, KBE and PLM...
knowledge extractionsemantic interoperabilityengineeringcadkbe
https://bytez.com/docs/arxiv/1812.10315/paper
DBpedia NIF: Open, Large-Scale and Multilingual Knowledge Extraction Corpus | Read Paper on Bytez
Dec 26, 2018 - In the past decade, the DBpedia community has put significant amount of effort on developing technical infrastructure and methods for efficient extraction of...
large scalemultilingual knowledgeread paperdbpedianif
https://www.pharma-iq.com/informatics/podcasts/next-generation-knowledge-extraction-elns-beyond
Next Generation Knowledge Extraction - ELNS Beyond Productivity Improvement
next generationknowledge extractionproductivity improvementbeyond
https://dl.ifip.org/IFIP-LNCS-12279
Home - Machine Learning and Knowledge Extraction
machine learningknowledge extraction
https://wseas.com/journals/articles.php?id=3502
Knowledge Extraction from the Problem-Oriented Data Warehouses on Chemical Kinetics and...
This paper discusses the technology of extracting the chemical knowledge from the structured electronic sources, problem-oriented systems of science data...
knowledge extractionfrom thedata warehouseschemical kineticsproblem
https://www.mpi-inf.mpg.de/de/children-texts-for-commonsense
Children's texts for commonsense knowledge extraction
knowledge extractionchildrentexts
https://lrec.elra.info/lrec1998-main-101
A corpus-based method for lingnistic knowledge extraction and its evaluation - LREC 1998 | LREC -...
knowledge extractioncorpusbasedmethodevaluation
https://www.infovis.org/archives/list/infovis@infovis.org/thread/KBJTQOQ37TT2I6MTSWXQCSWCUW6J5BHR/
Call for Papers -- Workshop on Visualization For Machine Learning And Knowledge Extraction at...
call for papersmachine learningknowledge extractionworkshopvisualization
https://open.uni-marburg.de/entities/thesis/bc4594b3-20e9-47c9-b2e7-993847e11af6
Knowledge Extraction and Summarization for Textual Case-Based Reasoning: A Probabilistic Task...
Case-Based Reasoning (CBR) is an Artificial Intelligence (AI) technique that has been successfully used for building knowledge systems for tasks/domains where...
knowledge extractionsummarizationtextualcasebased
https://iris.unical.it/handle/20.500.11770/341785
From Archives Management to Knowledge Extraction: Tools and Impact Evaluation
knowledge extractionimpact evaluationarchivesmanagementtools
https://bibbase.org/network/publication/camacho-lpez-aler-semiautomaticparsingforwebknowledgeextraction-2003
Semi-Automatic Parsing for Web Knowledge Extraction
The easiest way to keep your publications page up to date
semi automaticfor webknowledge extractionparsing
https://goobi.tib.eu/viewer/fullscreen/856473650/4/LOG_0000/
Fusion of sensor data, knowledge sources and algorithms for extraction and classification of...
sensor dataknowledge sourcesfusionalgorithmsextraction
https://arxiv.org/abs/2406.18027
[2406.18027] Automated Clinical Data Extraction with Knowledge Conditioned LLMs
Abstract page for arXiv paper 2406.18027: Automated Clinical Data Extraction with Knowledge Conditioned LLMs
clinical dataautomatedextractionknowledgellms
https://nrc-publications.canada.ca/fra/voir/objet/?id=658d01cb-56fd-43c9-bd72-0aef60c53abe
Automatic Extraction of Component Models from Fault Knowledge: The Diagnostic Remodeler (DR)...
Automatic Extraction of Component Models from Fault Knowledge: The Diagnostic Remodeler (DR) Algorithm
automaticextractioncomponentmodelsfault