过去一年中添加的文章,按日期排序

Unraveling the nature of adsorbed isobutene in H-SSZ-13 with operando simulations at the top of Jacob's ladder

M Bocus, S Vandenhaute, V Van Speybroeck - 2024 - chemrxiv.org
2 天前 - … Herein, we propose a transfer learning approach to perform … We show that the
tert-butyl carbenium ion formation is … -873 K), being therefore a short-lived reaction intermediate …

[PDF][PDF] Performance of ChatGPT 3.5 and 4 on US dental examinations: the INBDE, ADAT, and DAT

M Dashti, S Ghasemi, N Ghadimi, D Hefzi, A Karimian… - 2024 - researchgate.net
2 天前 - … , and comprehension questions, with ChatGPT 4 being more … and dental students
toward artificial intelligence: a systematic … artificial intelligence. J Dent Educ 2021; 85: 60-8. 3. …

It's Not What You Say, It's How You Say It: Investigating GDPR Enforcement Variation in the EU

JP Lalor, S Somanchi, F Nwanganga… - Academy of …, 2024 - journals.aom.org
2 天前 - summary) by a neutral third party, diverges from the GDPR legal articles it cites as
a basis for enforcement. We … bloc-level legislation is not being applied consistently, and our …

Using Machine Learning and Natural Language Processing in Triage for Prediction of Clinical Disposition in the Emergency Department

YH Chang, YC Lin, FW Huang, DM Chen, YT Chung… - 2024 - researchsquare.com
2 天前 - … Triage decisions are often subjective and vary by provider, leading to patients
being over-triaged or under-triaged. This study developed machine learning models that …

Fundamental Limits of Learning for Generalizability, Data Resilience, and Resource Efficiency

M Blanchard - 2024 - dspace.mit.edu
2 天前 - … resilient to imperfect data, all while being resource efficient. This thesis explores …
We aim to understand the limits of learning algorithms across a wide range of machine learning

Diagnostic and Prognostic Models Based on Electrocardiograms for Rapid Clinical Applications

MS Islam, SV Kalmady, A Hindle, R Sandhu… - Canadian Journal of …, 2024 - Elsevier
3 天前 - … , with about half of them being for mobile or wearable … of the use of artificial
intelligence/machine learning (AI/ML) … We hope this review highlights the combined potential of …

An adversarial sample detection method based on heterogeneous denoising

L Zhu, C Liu, Z Zhang, Y Cheng, B Jie… - Machine Vision and …, 2024 - Springer
3 天前 - … system while being imperceptible to humans. In this paper, we propose a detection
defense method based on heterogeneous denoising on foreground and background (HDFB)…

Interpretable Machine Learning-Based Clinical Predictive Model for Early Readmission in Patients with Cardiogenic Shock

X Tieliwaerdi, A Abuduweili, E Mutabi, K Manalo… - medRxiv, 2024 - medrxiv.org
3 天前 - … Reducing the feature dimensionality, which results in more patient cases being
categorized under each general disease category, enables the machine learning models to …

[HTML][HTML] Assessing the Accuracy of Artificial Intelligence Models in Scoliosis Classification and Suggested Therapeutic Approaches

A Fabijan, A Zawadzka-Fabijan, R Fabijan… - Journal of Clinical …, 2024 - mdpi.com
3 天前 - … use of open-source artificial intelligence models (OSAIMs) in medical support
contexts [1]. Data concerning scoliosis are increasingly being utilized in artificial intelligence (AI) …

[HTML][HTML] Research Trends and Evolution in Radiogenomics (2005-2023): Bibliometric Analysis

M Wang, Y Peng, Y Wang, D Luo - Interactive Journal of Medical …, 2024 - i-jmr.org
3 天前 - … growth factor receptor mutation, late radiotherapy toxicity, and artificial intelligence.
… and the Netherlands being the most influential countries. Exploration of artificial intelligence