AIMC Topic: Datasets as Topic

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Detection of ground parrot vocalisation: A multiple instance learning approach.

The Journal of the Acoustical Society of America Sep 1, 2017
Ground parrot vocalisation can be considered as an audio event. Test-based diverse density multiple instance learning (TB-DD-MIL) is proposed for detecting this event in audio files recorded in the field. The proposed method is motivated by the advan...
Machine Learning Algorithms Pattern Recognition, Automated Behavior, Animal Vocalization, Animal Parrots Animals Australia Sound Spectrography Datasets as Topic
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Malignancy Detection on Mammography Using Dual Deep Convolutional Neural Networks and Genetically Discovered False Color Input Enhancement.

Journal of digital imaging Aug 1, 2017
Breast cancer is the most prevalent malignancy in the US and the third highest cause of cancer-related mortality worldwide. Regular mammography screening has been attributed with doubling the rate of early cancer detection over the past three decades...
Algorithms Female Sensitivity and Specificity Breast Neoplasms Humans Neural Networks, Computer Mammography Datasets as Topic Image Enhancement
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Deep Convolutional Neural Networks for Endotracheal Tube Position and X-ray Image Classification: Challenges and Opportunities.

Journal of digital imaging Aug 1, 2017
The goal of this study is to evaluate the efficacy of deep convolutional neural networks (DCNNs) in differentiating subtle, intermediate, and more obvious image differences in radiography. Three different datasets were created, which included presenc...
Humans Neural Networks, Computer ROC Curve Area Under Curve Datasets as Topic Intubation, Intratracheal Radiography, Thoracic Radiography, Abdominal
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Performance of an Artificial Multi-observer Deep Neural Network for Fully Automated Segmentation of Polycystic Kidneys.

Journal of digital imaging Aug 1, 2017
Deep learning techniques are being rapidly applied to medical imaging tasks-from organ and lesion segmentation to tissue and tumor classification. These techniques are becoming the leading algorithmic approaches to solve inherently difficult image pr...
Kidney Humans Polycystic Kidney Diseases Datasets as Topic Machine Learning Observer Variation Image Processing, Computer-Assisted
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Medical Image Data and Datasets in the Era of Machine Learning-Whitepaper from the 2016 C-MIMI Meeting Dataset Session.

Journal of digital imaging Aug 1, 2017
At the first annual Conference on Machine Intelligence in Medical Imaging (C-MIMI), held in September 2016, a conference session on medical image data and datasets for machine learning identified multiple issues. The common theme from attendees was t...
Medical Informatics Humans Congresses as Topic Artificial Intelligence Machine Learning Diagnostic Imaging Data Collection Datasets as Topic
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Identification of microRNA precursors using reduced and hybrid features.

Molecular bioSystems Jul 25, 2017
MicroRNAs (also called miRNAs) are a group of short non-coding RNA molecules. They play a vital role in the gene expression of transcriptional and post-transcriptional processes. However, abnormality of their expression has been observed in cancer, h...
RNA Precursors Multifactor Dimensionality Reduction MicroRNAs Least-Squares Analysis Benchmarking Datasets as Topic Humans Sequence Analysis, RNA Support Vector Machine
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iMulti-HumPhos: a multi-label classifier for identifying human phosphorylated proteins using multiple kernel learning based support vector machines.

Molecular bioSystems Jul 25, 2017
Protein phosphorylation plays a potential role in regulating protein conformation and functions. As a result, identifying an uncharacterized protein sequence as a phosphorylated protein is a very meaningful problem and an urgent issue for both basic ...
Threonine Humans Benchmarking Proteins Datasets as Topic Software Tyrosine Computational Biology Phosphorylation Serine Support Vector Machine Internet Protein Processing, Post-Translational
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An integrative machine learning strategy for improved prediction of essential genes in Escherichia coli metabolism using flux-coupled features.

Molecular bioSystems Jul 25, 2017
Prediction of essential genes helps to identify a minimal set of genes that are absolutely required for the appropriate functioning and survival of a cell. The available machine learning techniques for essential gene prediction have inherent problems...
Helicobacter pylori Caulobacteraceae Datasets as Topic Escherichia coli K12 Machine Learning Base Composition Genotype Codon Phenotype Genes, Essential Metabolic Networks and Pathways Benchmarking
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Automated classification of eligibility criteria in clinical trials to facilitate patient-trial matching for specific patient populations.

Journal of the American Medical Informatics Association : JAMIA Jul 1, 2017
OBJECTIVE: To develop automated classification methods for eligibility criteria in ClinicalTrials.gov to facilitate patient-trial matching for specific populations such as persons living with HIV or pregnant women.
HIV Seropositivity Machine Learning Neoplasms Natural Language Processing Patient Selection Datasets as Topic Clinical Trials as Topic Eligibility Determination Humans
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The 'time machine' reconstructing ancient Venice's social networks.

Nature Jun 14, 2017
Manuscripts as Topic Banking, Personal History, 17th Century Books Automation Archives Robotics Famous Persons History, 18th Century Commerce History, 19th Century Humans Maps as Topic Italy History, Medieval History, 20th Century Handwriting Social Networking Machine Learning Datasets as Topic Plague Reading Democracy Social Change History, 21st Century Animals History, 15th Century History, 16th Century
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