AIMC Topic: Computer Simulation

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The Balance Super Learner: A robust adaptation of the Super Learner to improve estimation of the average treatment effect in the treated based on propensity score matching.

Statistical methods in medical research Dec 15, 2016
Consistency of the propensity score estimators rely on correct specification of the propensity score model. The propensity score is frequently estimated using a main effect logistic regression. It has recently been shown that the use of ensemble mach...
Computer Simulation Logistic Models Propensity Score Humans Machine Learning Algorithms
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Mirnacle: machine learning with SMOTE and random forest for improving selectivity in pre-miRNA ab initio prediction.

BMC bioinformatics Dec 15, 2016
BACKGROUND: MicroRNAs (miRNAs) are key gene expression regulators in plants and animals. Therefore, miRNAs are involved in several biological processes, making the study of these molecules one of the most relevant topics of molecular biology nowadays...
Computer Simulation Humans Computational Biology Nucleic Acid Conformation Animals Machine Learning MicroRNAs Eukaryota Genomics Plants Genome
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Equivalent Neural Network Optimal Coefficients Using Forgetting Factor with Sliding Modes.

Computational intelligence and neuroscience Dec 13, 2016
The Artificial Neural Network (ANN) concept is familiar in methods whose task is, for example, the identification or approximation of the outputs of complex systems difficult to model. In general, the objective is to determine online the adequate par...
Computer Simulation Models, Theoretical Signal Processing, Computer-Assisted Stochastic Processes Humans Neural Networks, Computer
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Reaction times in visual search can be explained by a simple model of neural synchronization.

Neural networks : the official journal of the International Neural Network Society Dec 10, 2016
We present an oscillatory neural network model that can account for reaction times in visual search experiments. The model consists of a central oscillator that represents the central executive of the attention system and a number of peripheral oscil...
Computer Simulation Reaction Time Attention Visual Perception Humans Neural Networks, Computer
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Targeted Maximum Likelihood Estimation for Causal Inference in Observational Studies.

American journal of epidemiology Dec 9, 2016
Estimation of causal effects using observational data continues to grow in popularity in the epidemiologic literature. While many applications of causal effect estimation use propensity score methods or G-computation, targeted maximum likelihood esti...
Data Interpretation, Statistical Bias Propensity Score Likelihood Functions Confounding Factors, Epidemiologic Epidemiologic Research Design Depression Causality Observational Studies as Topic Computer Simulation Exercise Humans Machine Learning
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Towards Assessing the Human Trajectory Planning Horizon.

PloS one Dec 9, 2016
Mobile robots are envisioned to cooperate closely with humans and to integrate seamlessly into a shared environment. For locomotion, these environments resemble traversable areas which are shared between multiple agents like humans and robots. The se...
Robotics Artificial Intelligence Motion Locomotion Computer Simulation Data Collection Humans Movement Models, Theoretical
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On the Use of Self-Organizing Map for Text Clustering in Engineering Change Process Analysis: A Case Study.

Computational intelligence and neuroscience Dec 4, 2016
In modern industry, the development of complex products involves engineering changes that frequently require redesigning or altering the products or their components. In an engineering change process, engineering change requests (ECRs) are documents ...
Industry Algorithms Computer Simulation Cluster Analysis Humans Neural Networks, Computer
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On global exponential stability of positive neural networks with time-varying delay.

Neural networks : the official journal of the International Neural Network Society Dec 1, 2016
This paper presents a new result on the existence, uniqueness and global exponential stability of a positive equilibrium of positive neural networks in the presence of bounded time-varying delay. Based on some novel comparison techniques, a testable ...
Neural Networks, Computer Time Factors Algorithms Computer Simulation
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What do we learn about development from baby robots?

Wiley interdisciplinary reviews. Cognitive science Dec 1, 2016
Understanding infant development is one of the great scientific challenges of contemporary science. In addressing this challenge, robots have proven useful as they allow experimenters to model the developing brain and body and understand the processe...
Learning Infant Robotics Humans Computer Simulation Exploratory Behavior Psychology, Child Walking Models, Biological Child Development
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Computational prediction of multidisciplinary team decision-making for adjuvant breast cancer drug therapies: a machine learning approach.

BMC cancer Dec 1, 2016
BACKGROUND: Multidisciplinary team (MDT) meetings are used to optimise expert decision-making about treatment options, but such expertise is not digitally transferable between centres. To help standardise medical decision-making, we developed a machi...
Humans Supervised Machine Learning Chemotherapy, Adjuvant Patient Care Team Antineoplastic Combined Chemotherapy Protocols Combined Modality Therapy Aged Aged, 80 and over Adult Breast Neoplasms Middle Aged Models, Theoretical Machine Learning Computer Simulation Algorithms Clinical Decision-Making Female
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