AIMC Topic: Computer Simulation

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Knockoff boosted tree for model-free variable selection.

Bioinformatics (Oxford, England) May 17, 2021
MOTIVATION: The recently proposed knockoff filter is a general framework for controlling the false discovery rate (FDR) when performing variable selection. This powerful new approach generates a 'knockoff' of each variable tested for exact FDR contro...
Algorithms Computer Simulation Genome Machine Learning
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Noise Robust Projection Rule for Klein Hopfield Neural Networks.

Neural computation May 13, 2021
Multistate Hopfield models, such as complex-valued Hopfield neural networks (CHNNs), have been used as multistate neural associative memories. Quaternion-valued Hopfield neural networks (QHNNs) reduce the number of weight parameters of CHNNs. The CHN...
Neural Networks, Computer Computer Simulation
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Co-designing hardware and control for robot hands.

Science robotics May 12, 2021
Policy gradient methods can be used for mechanical and computational co-design of robot manipulators.
Humans Mechanical Phenomena Computer Simulation Hand Robotics Motor Skills Equipment Design
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Grasping with kirigami shells.

Science robotics May 12, 2021
The ability to grab, hold, and manipulate objects is a vital and fundamental operation in biological and engineering systems. Here, we present a soft gripper using a simple material system that enables precise and rapid grasping, and can be miniaturi...
Robotics Equipment Design Microtechnology Biomimetic Materials Bioengineering Computer Simulation Polyethylene Terephthalates Hand Strength Smart Materials Humans Stimuli Responsive Polymers Magnetic Fields Mechanical Phenomena Tensile Strength Finite Element Analysis
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Complex manipulation with a simple robotic hand through contact breaking and caging.

Science robotics May 12, 2021
Humans use all surfaces of the hand for contact-rich manipulation. Robot hands, in contrast, typically use only the fingertips, which can limit dexterity. In this work, we leveraged a potential energy-based whole-hand manipulation model, which does n...
Fingers Haptic Interfaces Robotics Equipment Design Hand Motion Biomechanical Phenomena Hand Strength Humans Computer Simulation
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Instability of Variable-selection Algorithms Used to Identify True Predictors of an Outcome in Intermediate-dimension Epidemiologic Studies.

Epidemiology (Cambridge, Mass.) May 1, 2021
BACKGROUND: Machine-learning algorithms are increasingly used in epidemiology to identify true predictors of a health outcome when many potential predictors are measured. However, these algorithms can provide different outputs when repeatedly applied...
Humans Machine Learning Reproducibility of Results Epidemiologic Studies Algorithms Computer Simulation
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Machine Learning for Causal Inference: On the Use of Cross-fit Estimators.

Epidemiology (Cambridge, Mass.) May 1, 2021
BACKGROUND: Modern causal inference methods allow machine learning to be used to weaken parametric modeling assumptions. However, the use of machine learning may result in complications for inference. Doubly robust cross-fit estimators have been prop...
Models, Statistical Bias Probability Computer Simulation Humans Causality Machine Learning
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Deep Learning-based Propensity Scores for Confounding Control in Comparative Effectiveness Research: A Large-scale, Real-world Data Study.

Epidemiology (Cambridge, Mass.) May 1, 2021
BACKGROUND: Due to the non-randomized nature of real-world data, prognostic factors need to be balanced, which is often done by propensity scores (PSs). This study aimed to investigate whether autoencoders, which are unsupervised deep learning archit...
Humans Deep Learning Propensity Score Databases, Factual Comparative Effectiveness Research Computer Simulation
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Pinning control of complex networks with time-varying inner and outer coupling.

Mathematical biosciences and engineering : MBE Apr 19, 2021
This paper addresses the pinning synchronization of nonlinear multiple time-varying coupling complex networks. Time-varying inner coupling in the single node state space and time-varying outer coupling among nodes in an entire complex network are tak...
Neural Networks, Computer Time Factors Computer Simulation
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Better-than-chance classification for signal detection.

Biostatistics (Oxford, England) Apr 10, 2021
The estimated accuracy of a classifier is a random quantity with variability. A common practice in supervised machine learning, is thus to test if the estimated accuracy is significantly better than chance level. This method of signal detection is pa...
Computer Simulation Supervised Machine Learning Probability Neuroimaging Humans
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