AIMC Topic: Computer Simulation

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Bayesian framework for simulation of dynamical systems from multidimensional data using recurrent neural network.

Chaos (Woodbury, N.Y.)
We suggest a new method for building data-driven dynamical models from observed multidimensional time series. The method is based on a recurrent neural network with specific structure, which allows for the joint reconstruction of both a low-dimension...

Averting robo-bees: why free-flying robotic bees are a bad idea.

Emerging topics in life sciences
Food security and the sustainability of native ecosystems depends on plant-insect interactions in countless ways. Recently reported rapid and immense declines in insect numbers due to climate change, the use of pesticides and herbicides, the introduc...

Recent advances and prospects of computational methods for metabolite identification: a review with emphasis on machine learning approaches.

Briefings in bioinformatics
Metabolomics involves studies of a great number of metabolites, which are small molecules present in biological systems. They play a lot of important functions such as energy transport, signaling, building block of cells and inhibition/catalysis. Und...

Cost-aware active learning for named entity recognition in clinical text.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVE: Active Learning (AL) attempts to reduce annotation cost (ie, time) by selecting the most informative examples for annotation. Most approaches tacitly (and unrealistically) assume that the cost for annotating each sample is identical. This ...

Applying machine learning to predict real-world individual treatment effects: insights from a virtual patient cohort.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVE: We aimed to investigate bias in applying machine learning to predict real-world individual treatment effects.

Artificial Intelligent Model With Neural Network Machine Learning for the Diagnosis of Orthognathic Surgery.

The Journal of craniofacial surgery
Diagnosis and treatment planning are the most important steps in the orthognathic surgery for the successful treatment. The purpose of this study was to develop a new artificial intelligent model for surgery/non-surgery decision and extraction determ...

Recent applications of deep learning and machine intelligence on in silico drug discovery: methods, tools and databases.

Briefings in bioinformatics
The identification of interactions between drugs/compounds and their targets is crucial for the development of new drugs. In vitro screening experiments (i.e. bioassays) are frequently used for this purpose; however, experimental approaches are insuf...

A review of computational models of basic rule learning: The neural-symbolic debate and beyond.

Psychonomic bulletin & review
We present a critical review of computational models of generalization of simple grammar-like rules, such as ABA and ABB. In particular, we focus on models attempting to account for the empirical results of Marcus et al. (Science, 283(5398), 77-80 19...