Results 61 to 70 of about 154,491 (119)

Automated scoring of nematode nictation on a textured background. [PDF]

PLoS One, 2023
McClanahan PD, Golinelli L, Le TA, Temmerman L.   +3 more
europepmc   +1 more source

Empirical Study of Large Language Models as Automated Essay Scoring Tools in English Composition__Taking TOEFL Independent Writing Task for Example [PDF]

arXiv
Large language models have demonstrated exceptional capabilities in tasks involving natural language generation, reasoning, and comprehension. This study aims to construct prompts and comments grounded in the diverse scoring criteria delineated within the official TOEFL guide.
arxiv  

Sleep scoring moving from visual scoring towards automated scoring. [PDF]

Sleep, 2022
Penzel T.
europepmc   +1 more source

Automatic Essay Multi-dimensional Scoring with Fine-tuning and Multiple Regression [PDF]

arXiv
Automated essay scoring (AES) involves predicting a score that reflects the writing quality of an essay. Most existing AES systems produce only a single overall score. However, users and L2 learners expect scores across different dimensions (e.g., vocabulary, grammar, coherence) for English essays in real-world applications.
arxiv  

Domain-specific transfer learning in the automated scoring of tumor-stroma ratio from histopathological images of colorectal cancer. [PDF]

PLoS One, 2023
Petäinen L, Väyrynen JP, Ruusuvuori P, Pölönen I, Äyrämö S, Kuopio T.   +5 more
europepmc   +1 more source

Teach-to-Reason with Scoring: Self-Explainable Rationale-Driven Multi-Trait Essay Scoring [PDF]

arXiv
Multi-trait automated essay scoring (AES) systems provide a fine-grained evaluation of an essay's diverse aspects. While they excel in scoring, prior systems fail to explain why specific trait scores are assigned. This lack of transparency leaves instructors and learners unconvinced of the AES outputs, hindering their practical use. To address this, we
arxiv  

Automated Scoring of Respiratory Events in Sleep With a Single Effort Belt and Deep Neural Networks. [PDF]

IEEE Trans Biomed Eng, 2022
Nassi TE, Ganglberger W, Sun H, Bucklin AA, Biswal S, van Putten MJAM, Thomas RJ, Westover MB.   +7 more
europepmc   +1 more source

Can LLMs Classify CVEs? Investigating LLMs Capabilities in Computing CVSS Vectors [PDF]

arXiv
Common Vulnerability and Exposure (CVE) records are fundamental to cybersecurity, offering unique identifiers for publicly known software and system vulnerabilities. Each CVE is typically assigned a Common Vulnerability Scoring System (CVSS) score to support risk prioritization and remediation.
arxiv  

Deep convolutional neural networks for automated scoring of pentagon copying test results. [PDF]

Sci Rep, 2022
Maruta J, Uchida K, Kurozumi H, Nogi S, Akada S, Nakanishi A, Shinoda M, Shiba M, Inoue K.   +8 more
europepmc   +1 more source

What's the score? Automated Denoising Score Matching for Nonlinear Diffusions [PDF]

arXiv
Reversing a diffusion process by learning its score forms the heart of diffusion-based generative modeling and for estimating properties of scientific systems. The diffusion processes that are tractable center on linear processes with a Gaussian stationary distribution.
arxiv