Results 71 to 80 of about 10,003,521 (346)

Concerning the Erickson Educational Foundation

, 1964
A booklet describing the purpose, goals, and activities of the Erickson Educational ...
Erickson Educational Foundation
core   +1 more source

Assessing Time Series Foundation Models for Probabilistic Electricity Price Forecasting: Toward a Unified Benchmark

Energies
Probabilistic electricity price forecasting (PEPF) is a highly complex task with broad economic and operational impact. Recent advances in time series foundation models (TSFMs) offer promising tools to improve PEPF performance. In contrast, PEPF provides
Gabriele Marchesi, Andrea Ballarino, Alessandro Brusaferri   +2 more
doaj   +1 more source

On the foundations of Earth foundation models

Communications Earth & Environment
Abstract Foundation models have enormous potential in advancing Earth sciences. However, current approaches may not be optimal, as they focus only on a few basic features of a desirable Earth foundation model. Crafting the ideal Earth foundation model, we define eleven features which would allow such a foundation model to be ...
Xiao Xiang Zhu, Zhitong Xiong, Yi Wang, Adam J. Stewart, Konrad Heidler, Yuanyuan Wang, Zhenghang Yuan, Thomas Dujardin, Qingsong Xu, Yilei Shi   +9 more
openaire   +1 more source

Identifying Patterns of Hospitalizations Among Childhood Cancer Survivors: A Population‐Based Study

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Childhood cancer survivors (CCSs) experience more hospitalizations than the general population. We aimed to identify distinct hospitalization patterns among Queensland CCSs and the associated characteristics. Methods Cases (aged ≤14 years) diagnosed between 1995 and 2019 while residents of Queensland were identified through the ...
Hai Pham, Teyl Engstrom, Peter Baade, Natalie Bradford, Sarah Pont, Louise Marquart‐Wilson, Natasha Nassar, Jason D. Pole   +7 more
wiley   +1 more source

Cross‐Domain Foundation Model Adaptation: Pioneering Computer Vision Models for Geophysical Data Analysis

Journal of Geophysical Research: Machine Learning and Computation
We explore adapting foundation models (FMs) from the computer vision domain to geoscience. FMs, which are large neural networks trained on massive data sets, excel in diverse tasks with remarkable adaptability and generality.
Zhixiang Guo, Xinming Wu, Luming Liang, Hanlin Sheng, Nuo Chen, Zhengfa Bi   +5 more
doaj   +1 more source

Balancing speed and precision in protein folding: a comparison of AlphaFold2, ESMFold, and OmegaFold

Frontiers in Genetics
The rapid development of protein structure prediction tools has created a need for systematic performance comparisons to guide method selection for different applications, particularly given the trade-offs between computational speed and prediction ...
Anna Hýsková, Anna Hýsková, Eva Maršálková, Eva Maršálková, Petr Šimeček   +4 more
doaj   +1 more source

Relational Programming with Foundational Models

Proceedings of the AAAI Conference on Artificial Intelligence
Foundation models have vast potential to enable diverse AI applications. The powerful yet incomplete nature of these models has spurred a wide range of mechanisms to augment them with capabilities such as in-context learning, information retrieval, and code interpreting.
Ziyang Li 0002, Jiani Huang, Jason Liu, Felix Zhu, Eric Zhao 0007, William Dodds, Neelay Velingker, Rajeev Alur, Mayur Naik   +8 more
openaire   +2 more sources

Naval Postgraduate School Foundation Impact on Programs and Facilities

, 2014
Screenshot of the Naval Postgraduate School Foundation website.The NPS Foundation is proud to help maintain a high standard of excellence in campus facilities as well as in on-campus programming.
Naval Postgraduate School Foundation
core  

Evidence‐Based Clinical Practice Guidelines for the Management of Pediatric Febrile Neutropenia: Resource‐Sensitive Recommendations for the Asian Continent

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Febrile neutropenia (FN) is a frequent and serious complication in children receiving cancer therapy. Standardizing FN management across Asia is challenging due to variable healthcare infrastructure, diagnostic capacity, and infection patterns; however, it could improve resource use and patient outcomes.
Joliza Patricia Cañeba, Shweta Bansal, Tea Reljic, Allyne Montecillo‐Aguelo, Hamidah Alias, Farrah Amaranto, Maria Stella Aquino‐Calingasan, Bambang Ardianto, Eggi Arguni, Sally Blair, Thi Tam Dang, Maria Beatriz Gepte, Samanmalee Gunasekara, Andini Handayani, Miriam Kimpo, Catherine G. Lam, Nawachai Lertvivatpong, Sergio Licona, Ana Loseo, Ratha Mlis, Vivian Moreno Berrio, Nguyen Hoai Anh, Anna Lisa Ong‐Lim, Ha Thu Pham, Krishna Sagar Sharma, Bun Sereyleak, Sally Jane G. Velasco‐Aro, Su Yadana, Ambuj Kumar, Sheena Mukkada   +29 more
wiley   +1 more source

Causality-driven feature selection and domain adaptation for enhancing chemical foundation models in downstream tasks

Machine Learning: Science and Technology
Recent advancements in large foundation models have revealed impressive capabilities in mastering complex chemical language representations. These models undergo a task-agnostic learning phase, characterized by pre-training on extensive unlabeled corpora
Eduardo Soares, Victor Yukio Shirasuna, Emilio Vital Brazil, Karen Fiorella Aquino Gutierrez, Renato Cerqueira, Dmitry Zubarev, Kristin Schmidt, Daniel P Sanders   +7 more
doaj   +1 more source