Results 61 to 70 of about 498,835 (163)
Artificial Intelligence Models and Tools for the Assessment of Drug–Herb Interactions
Artificial intelligence (AI) has emerged as a powerful tool in medical sciences that is revolutionizing various fields of drug research. AI algorithms can analyze large-scale biological data and identify molecular targets and pathways advancing ...
Marios Spanakis +6 more
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Collective relational inference for learning heterogeneous interactions
Interacting systems are ubiquitous in nature and engineering, ranging from particle dynamics in physics to functionally connected brain regions. Revealing interaction laws is of fundamental importance but also particularly challenging due to underlying ...
Zhichao Han, Olga Fink, David S. Kammer
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Semi-supervised meta-learning elucidates understudied molecular interactions
Many biological problems are understudied due to experimental limitations and human biases. Although deep learning is promising in accelerating scientific discovery, its power compromises when applied to problems with scarcely labeled data and data ...
You Wu, Li Xie, Yang Liu, Lei Xie
doaj +1 more source
Learning interactions via hierarchical group-lasso regularization. [PDF]
Lim M, Hastie T.
europepmc +1 more source
Reframing learning interactions: transforming professional identity among students of traditional Korean medicine. [PDF]
Park GM, Hong AJ.
europepmc +1 more source
Interactive Learning of Algorithms
Visualization is believed to be an effective technique for learning and understanding algorithms in traditional computer science. In this paper, we focus on parallel computing and algorithms. An inherent difficulty with parallel programming is that it requires synchronization and coordination of the concurrent activities.
openaire +1 more source
Language attitudes of Generation Z in responding to teacher questions in learning interactions. [PDF]
Suyitno I, Fawzi A, Arista HD.
europepmc +1 more source

