AIMC Topic:
Computer Simulation

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A dataset of human and robot approach behaviors into small free-standing conversational groups.

PloS one Feb 25, 2021
The analysis and simulation of the interactions that occur in group situations is important when humans and artificial agents, physical or virtual, must coordinate when inhabiting similar spaces or even collaborate, as in the case of human-robot team...
Computer Simulation Interpersonal Relations Robotics Communication Choice Behavior Humans
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Intraoral radiograph anatomical region classification using neural networks.

International journal of computer assisted radiology and surgery Feb 24, 2021
PURPOSE: Dental radiography represents 13% of all radiological diagnostic imaging. Eliminating the need for manual classification of digital intraoral radiographs could be especially impactful in terms of time savings and metadata quality. However, a...
Radiographic Image Interpretation, Computer-Assisted Pattern Recognition, Automated Middle Aged Software Radiography, Dental Models, Statistical Computer Simulation Adult Female Humans Reproducibility of Results Male Neural Networks, Computer Retrospective Studies
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Dynamics of a Large-Scale Spiking Neural Network with Quadratic Integrate-and-Fire Neurons.

Neural plasticity Feb 23, 2021
Since the high dimension and complexity of the large-scale spiking neural network, it is difficult to research the network dynamics. In recent decades, the mean-field approximation has been a useful method to reduce the dimension of the network. In t...
Neurons Models, Neurological Neural Networks, Computer Neural Inhibition Nerve Net Synapses Action Potentials Computer Simulation
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On kernel machine learning for propensity score estimation under complex confounding structures.

Pharmaceutical statistics Feb 22, 2021
Post marketing data offer rich information and cost-effective resources for physicians and policy-makers to address some critical scientific questions in clinical practice. However, the complex confounding structures (e.g., nonlinear and nonadditive ...
Propensity Score Research Design Computer Simulation Machine Learning Algorithms
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Modeling complex particles phase space with GAN for Monte Carlo SPECT simulations: a proof of concept.

Physics in medicine and biology Feb 20, 2021
A method is proposed to model by a generative adversarial network the distribution of particles exiting a patient during Monte Carlo simulation of emission tomography imaging devices. The resulting compact neural network is then able to generate part...
Humans Neural Networks, Computer Computer Simulation Monte Carlo Method Phantoms, Imaging Tomography, Emission-Computed, Single-Photon Tomography, X-Ray Computed Neoplasms
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DTI-SNNFRA: Drug-target interaction prediction by shared nearest neighbors and fuzzy-rough approximation.

PloS one Feb 19, 2021
In-silico prediction of repurposable drugs is an effective drug discovery strategy that supplements de-nevo drug discovery from scratch. Reduced development time, less cost and absence of severe side effects are significant advantages of using drug r...
Computational Biology Drug Development Artificial Intelligence Drug Repositioning Computer Simulation Fuzzy Logic
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Driving success in personalized medicine through AI-enabled computational modeling.

Drug discovery today Feb 17, 2021
The development of successful drugs is expensive and time-consuming because of high clinical attrition rates. This is caused partially by the rupture seen in the translatability of the drug from the bench to the clinic in the context of personalized ...
Humans Artificial Intelligence Animals Drug Development Translational Research, Biomedical Computer Simulation Precision Medicine
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Unsupervised anomaly detection using generative adversarial networks in H-MRS of the brain.

Journal of magnetic resonance (San Diego, Calif. : 1997) Feb 13, 2021
The applicability of generative adversarial networks (GANs) capable of unsupervised anomaly detection (AnoGAN) was investigated in the management of quality of H-MRS human brain spectra at 3.0 T. The AnoGAN was trained in an unsupervised manner solel...
Humans Deep Learning Proton Magnetic Resonance Spectroscopy Computer Simulation Artifacts Signal-To-Noise Ratio Brain Chemistry
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TranSynergy: Mechanism-driven interpretable deep neural network for the synergistic prediction and pathway deconvolution of drug combinations.

PLoS computational biology Feb 12, 2021
Drug combinations have demonstrated great potential in cancer treatments. They alleviate drug resistance and improve therapeutic efficacy. The fast-growing number of anti-cancer drugs has caused the experimental investigation of all drug combinations...
Drug Evaluation, Preclinical Drug Synergism Drug Discovery Algorithms Humans Antineoplastic Agents Computer Simulation Neural Networks, Computer Computational Biology Precision Medicine Drug Combinations Deep Learning
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A reservoir computing approach for forecasting and regenerating both dynamical and time-delay controlled financial system behavior.

PloS one Feb 12, 2021
Significant research in reservoir computing over the past two decades has revived interest in recurrent neural networks. Owing to its ingrained capability of performing high-speed and low-cost computations this has become a panacea for multi-variate ...
Nonlinear Dynamics Forecasting Computer Simulation Financial Management Neural Networks, Computer
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