AIMC Topic: Machine Learning

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An Intelligent Robotic Hospital Bed for Safe Transportation of Critical Neurosurgery Patients Along Crowded Hospital Corridors.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Aug 15, 2014
We present a novel design of an intelligent robotic hospital bed, named Flexbed, with autonomous navigation ability. The robotic bed is developed for fast and safe transportation of critical neurosurgery patients without changing beds. Flexbed is mor...
Moving and Lifting Patients Equipment and Supplies, Hospital Transportation of Patients Neurosurgery Equipment Failure Analysis Beds Machine Learning Robotics Equipment Design Critical Care
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On Equivalence of FIS and ELM for Interpretable Rule-Based Knowledge Representation.

IEEE transactions on neural networks and learning systems Aug 13, 2014
This paper presents a fuzzy extreme learning machine (F-ELM) that embeds fuzzy membership functions and rules into the hidden layer of extreme learning machine (ELM). Similar to the concept of ELM that employed the random initialization technique, th...
Neural Networks, Computer Artificial Intelligence Machine Learning Neurons Classification Power Plants Algorithms Databases, Factual Reproducibility of Results Feedback Fuzzy Logic Models, Statistical Benchmarking
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A Deep Learning Network Approach to ab initio Protein Secondary Structure Prediction.

IEEE/ACM transactions on computational biology and bioinformatics Aug 7, 2014
Ab initio protein secondary structure (SS) predictions are utilized to generate tertiary structure predictions, which are increasingly demanded due to the rapid discovery of proteins. Although recent developments have slightly exceeded previous metho...
Neural Networks, Computer Machine Learning Proteins Databases, Protein Protein Structure, Secondary
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Feature selection in supervised saliency prediction.

IEEE transactions on cybernetics Aug 5, 2014
There is an increasing interest in learning mappings from features to saliency maps based on human fixation data on natural images. These models have achieved better results than most bottom-up (unsupervised) saliency models. However, they usually us...
Image Enhancement Subtraction Technique Machine Learning Algorithms Reproducibility of Results Sensitivity and Specificity Image Interpretation, Computer-Assisted Pattern Recognition, Automated
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Systematic Poisoning Attacks on and Defenses for Machine Learning in Healthcare.

IEEE journal of biomedical and health informatics Jul 30, 2014
Machine learning is being used in a wide range of application domains to discover patterns in large datasets. Increasingly, the results of machine learning drive critical decisions in applications related to healthcare and biomedicine. Such health-re...
Humans Neoplasms Models, Theoretical Medical Informatics Computer Security Machine Learning Algorithms Databases, Factual
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Kernel methods for large-scale genomic data analysis.

Briefings in bioinformatics Jul 22, 2014
Machine learning, particularly kernel methods, has been demonstrated as a promising new tool to tackle the challenges imposed by today's explosive data growth in genomics. They provide a practical and principled approach to learning how a large numbe...
Data Interpretation, Statistical Genome-Wide Association Study Humans Computational Biology Machine Learning Genomics Logistic Models Polymorphism, Single Nucleotide Support Vector Machine Models, Statistical
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Detection of temporal lobe epilepsy using support vector machines in multi-parametric quantitative MR imaging.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Jul 21, 2014
The detection of MRI abnormalities that can be associated to seizures in the study of temporal lobe epilepsy (TLE) is a challenging task. In many cases, patients with a record of epileptic activity do not present any discernible MRI findings. In this...
Algorithms Epilepsy, Temporal Lobe Female Diffusion Tensor Imaging Reproducibility of Results Multimodal Imaging Adult Sensitivity and Specificity Image Interpretation, Computer-Assisted Male Humans Pattern Recognition, Automated Support Vector Machine Machine Learning Image Enhancement
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Enhanced needle localization in ultrasound using beam steering and learning-based segmentation.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Jul 6, 2014
Segmentation of needles in ultrasound images remains a challenging problem. In this paper, we introduce a machine learning-based method for needle segmentation in 2D beam-steered ultrasound images. We used a statistical boosting approach to train a p...
Animals Swine In Vitro Techniques Imaging, Three-Dimensional Nerve Block Chickens Ultrasonography, Interventional Image Enhancement Machine Learning Needles Algorithms Humans Injections Reproducibility of Results Image Interpretation, Computer-Assisted Sensitivity and Specificity Pattern Recognition, Automated
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A data-driven approach to prostate cancer detection from dynamic contrast enhanced MRI.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Jul 5, 2014
Magnetic resonance imaging (MRI), particularly dynamic contrast enhanced (DCE) imaging, has shown great potential in prostate cancer diagnosis and staging. In the current practice of DCE-MRI, diagnosis is based on quantitative parameters extracted fr...
Image Enhancement Data Interpretation, Statistical Prostatic Neoplasms Image Interpretation, Computer-Assisted Pattern Recognition, Automated Magnetic Resonance Imaging Multimodal Imaging Principal Component Analysis Algorithms Computer Simulation Reproducibility of Results Humans Aged Machine Learning Sensitivity and Specificity Male Middle Aged
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Transfer learning for visual categorization: a survey.

IEEE transactions on neural networks and learning systems Jul 1, 2014
Regular machine learning and data mining techniques study the training data for future inferences under a major assumption that the future data are within the same feature space or have the same distribution as the training data. However, due to the ...
Neural Networks, Computer Machine Learning Algorithms Surveys and Questionnaires Humans Transfer, Psychology Models, Theoretical Knowledge Visual Perception
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