Results 61 to 70 of about 276,963 (333)
Statistical methods for tissue array images - algorithmic scoring and co-training [PDF]
, 2011 Recent advances in tissue microarray technology have allowed immunohistochemistry to become a powerful medium-to-high throughput analysis tool, particularly for the validation of diagnostic and prognostic biomarkers.
Knudsen, Beatrice +4 more
core +1 more source
AUTOMATED TOOLS FOR SUBJECT MATTER EXPERT EVALUATION OF AUTOMATED SCORING [PDF]
ETS Research Report Series, 2004 ABSTRACTAs automated scoring of complex constructed‐response examinations reaches operational status, the process of evaluating the quality of resultant scores, particularly in contrast to scores of expert human graders, becomes as complex as the data itself.
David M. Williamson +2 more
openaire +1 more source
Molecular Oncology, EarlyView.Combining PTEN protein assessment and transcriptomic profiling of prostate tumors, we uncovered a network enriched in senescence and extracellular matrix (ECM) programs associated with PTEN loss and conserved in a mouse model. We show that PTEN‐deficient cells trigger paracrine remodeling of the surrounding stroma and this information could help ...
Ivana Rondon‐Lorefice +16 more
wiley +1 more source
Towards a Comprehensible and Accurate Credit Management Model: Application of four Computational Intelligence Methodologies [PDF]
, 2006 The paper presents methods for classification of applicants into different categories of credit risk using four different computational intelligence techniques. The selected methodologies involved in the rule-based categorization task are (1) feedforward
Ampazis , Nikolaos +2 more
core +1 more source
LDAcoop: Integrating non‐linear population dynamics into the analysis of clonogenic growth in vitro
Molecular Oncology, EarlyView.Limiting dilution assays (LDAs) quantify clonogenic growth by seeding serial dilutions of cells and scoring wells for colony formation. The fraction of negative wells is plotted against cells seeded and analyzed using the non‐linear modeling of LDAcoop.
Nikko Brix +13 more
wiley +1 more source
Automated Essay Scoring: A Literature Review
Working Papers in Applied Linguistics and TESOL, 2015 In recent decades, large-scale English language proficiency testing and testing research have seen an increased interest in constructed-response essay-writing items (Aschbacher, 1991; Powers, Burstein, Chodorow, Fowles, & Kukich, 2001; Weigle, 2002). The
Ian Blood
doaj +1 more source
Validation Study on Automated Sleep Stage Scoring Using a Deep Learning Algorithm
Medicina, 2022 Background and Objectives: Polysomnography is manually scored by sleep experts. However, manual scoring is a time-consuming and labor-intensive task.
Jae Hoon Cho +5 more
doaj +1 more source
Molecular Oncology, EarlyView.Meta‐transcriptome analysis identified FGF19 as a peptide enteroendocrine hormone associated with colorectal cancer prognosis. In vivo xenograft models showed release of FGF19 into the blood at levels that correlated with tumor volumes. Tumoral‐FGF19 altered murine liver metabolism through FGFR4, thereby reducing bile acid synthesis and increasing ...
Jordan M. Beardsley +5 more
wiley +1 more source
Combining machine translation and automated scoring in international large-scale assessments
Large-scale Assessments in EducationBackground Artificial intelligence (AI) is rapidly changing communication and technology-driven content creation and is also being used more frequently in education.
Ji Yoon Jung +2 more
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AI-Based Automated Scoring Layer Using Large Language Models and Semantic Analysis
Applied SciencesAutomated scoring of open-ended questions is an important research direction in educational technology and artificial intelligence, as manual grading is time-consuming and often subject to inter-rater variation.
Anastasia Vangelova, Veska Gancheva
doaj +1 more source