Results 131 to 140 of about 6,753,811 (352)
Kind Types in knowledge representation [PDF]
Kathleen Dahlgren, J. McDowell
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Cell‐free DNA aneuploidy score as a dynamic early response marker in prostate cancer
mFast‐SeqS‐based genome‐wide aneuploidy scores are concordant with aneuploidy scores obtained by whole genome sequencing from tumor tissue and can predict response to ARSI treatment at baseline and, at an early time point, to ARSI and taxanes. This assay can be easily performed at low cost and requires little input of cfDNA. Cell‐free circulating tumor
Khrystany T. Isebia+17 more
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Abstract The past two decades have produced extensive evidence on the manifold and severe outcomes for victims of aggression exposure in the workplace. However, due to the dominating individual‐centered approach, most findings miss a social network perspective.
Alexander Herrmann+2 more
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Imperative Formal Knowledge Representation for Control Engineering: Examples from Lyapunov Theory
In this paper, we introduce a novel method to formally represent elements of control engineering knowledge in a suitable data structure. To this end, we first briefly review existing representation methods (RDF, OWL, Wikidata, ORKG).
Carsten Knoll+2 more
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Legal linguistic templates and the tension between legal knowledge representation and reasoning. [PDF]
Libal T.
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Learning Robust Data Representation: A Knowledge Flow Perspective [PDF]
It is always demanding to learn robust visual representation for various learning problems; however, this learning and maintenance process usually suffers from noise, incompleteness or knowledge domain mismatch. Thus, robust representation learning by removing noisy features or samples, complementing incomplete data, and mitigating the distribution ...
arxiv
Book Review: Approaches to Knowledge Representation - An Introduction. Edited by G. A. Ringland & D. A. Duce (Research Studies Press Ltd., John Wiley & Sons Inc.( [PDF]
Simon Ross
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Representation Levels Within Knowledge Representation [PDF]
Representation of knowledge is used to store and retrieve informational data in a machine. Since meaningcannot be directly stored in the computer; this work proposes a series of levels of representation. The meaning of the data is transformed to a format that the machine can use to store and retrieve knowledge.
Joseph J. Pfeiffer, Heather D. Pfeiffer
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Using mass cytometry, we analyzed serial blood samples from patients with relapsed epithelial ovarian cancer (EOC) treated with oleclumab–durvalumab combination immunotherapy in the NSGO‐OV‐UMB1/ENGOT‐OV30 trial. Our analysis identified potential predictive, monitoring, and response biomarkers detectable through liquid biopsy. These findings facilitate
Luka Tandaric+11 more
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Semi‐supervised classification of fundus images combined with CNN and GCN
Abstract Purpose Diabetic retinopathy (DR) is one of the most serious complications of diabetes, which is a kind of fundus lesion with specific changes. Early diagnosis of DR can effectively reduce the visual damage caused by DR. Due to the variety and different morphology of DR lesions, automatic classification of fundus images in mass screening can ...
Sixu Duan+8 more
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