AIMC Topic: Classification

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Clinical Document Classification Using Labeled and Unlabeled Data Across Hospitals.

AMIA ... Annual Symposium proceedings. AMIA Symposium Dec 5, 2018
Reviewing radiology reports in emergency departments is an essential but laborious task. Timely follow-up of patients with abnormal cases in their radiology reports may dramatically affect the patient's outcome, especially if they have been discharge...
Supervised Machine Learning Information Storage and Retrieval Radiology Information Systems Classification Natural Language Processing Neural Networks, Computer Emergency Service, Hospital Algorithms
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Machine-Learning Approach to Optimize SMOTE Ratio in Class Imbalance Dataset for Intrusion Detection.

Computational intelligence and neuroscience Nov 1, 2018
The KDD CUP 1999 intrusion detection dataset was introduced at the third international knowledge discovery and data mining tools competition, and it has been widely used for many studies. The attack types of KDD CUP 1999 dataset are divided into four...
Data Mining Classification Algorithms Computer Simulation ROC Curve Humans Machine Learning
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RDE: A novel approach to improve the classification performance and expressivity of KDB.

PloS one Jul 23, 2018
Bayesian network classifiers (BNCs) have demonstrated competitive classification performance in a variety of real-world applications. A highly scalable BNC with high expressivity is extremely desirable. This paper proposes Redundant Dependence Elimin...
Classification Bayes Theorem Data Mining Software Machine Learning Bias
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Reproducibility of importance extraction methods in neural network based fMRI classification.

NeuroImage Jun 30, 2018
Recent advances in machine learning allow faster training, improved performance and increased interpretability of classification techniques. Consequently, their application in neuroscience is rapidly increasing. While classification approaches have p...
Image Processing, Computer-Assisted Magnetic Resonance Imaging Neural Networks, Computer Emotions Humans Adult Classification Brain Male Pattern Recognition, Visual Computer Simulation Female Brain Mapping Social Perception Young Adult Pattern Recognition, Automated
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Self-supervised sparse coding scheme for image classification based on low rank representation.

PloS one Jun 20, 2018
Recently, sparse representation, which relies on the underlying assumption that samples can be sparsely represented by their labeled neighbors, has been applied with great success to image classification problems. Through sparse representation-based ...
Algorithms Image Processing, Computer-Assisted Classification Artificial Intelligence
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Possible world based consistency learning model for clustering and classifying uncertain data.

Neural networks : the official journal of the International Neural Network Society Feb 27, 2018
Possible world has shown to be effective for handling various types of data uncertainty in uncertain data management. However, few uncertain data clustering and classification algorithms are proposed based on possible world. Moreover, existing possib...
Machine Learning Cluster Analysis Classification Uncertainty
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Enhanced prediction of recombination hotspots using input features extracted by class specific autoencoders.

Journal of theoretical biology Feb 17, 2018
In yeast and in some mammals the frequencies of recombination are high in some genomic locations which are known as recombination hotspots and in the locations where the recombination is below average are consequently known as coldspots. Knowledge of...
Algorithms Deep Learning Base Sequence Neural Networks, Computer Recombination, Genetic Classification Saccharomyces cerevisiae
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OpenBiodiv-O: ontology of the OpenBiodiv knowledge management system.

Journal of biomedical semantics Jan 18, 2018
BACKGROUND: The biodiversity domain, and in particular biological taxonomy, is moving in the direction of semantization of its research outputs. The present work introduces OpenBiodiv-O, the ontology that serves as the basis of the OpenBiodiv Knowled...
Biological Ontologies Classification Biodiversity Semantics
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Comparison of machine learning techniques to predict all-cause mortality using fitness data: the Henry ford exercIse testing (FIT) project.

BMC medical informatics and decision making Dec 19, 2017
BACKGROUND: Prior studies have demonstrated that cardiorespiratory fitness (CRF) is a strong marker of cardiovascular health. Machine learning (ML) can enhance the prediction of outcomes through classification techniques that classify the data into p...
Classification Female Mortality Aged Datasets as Topic Machine Learning Humans Cardiorespiratory Fitness Prognosis Middle Aged Adult Follow-Up Studies Male Exercise Test
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FuzzyID2: A software package for large data set species identification via barcoding and metabarcoding using hidden Markov models and fuzzy set methods.

Molecular ecology resources Dec 10, 2017
Species identification through DNA barcoding or metabarcoding has become a key approach for biodiversity evaluation and ecological studies. However, the rapid accumulation of barcoding data has created some difficulties: for instance, global enquirie...
Software Fuzzy Logic DNA Barcoding, Taxonomic Classification Markov Chains
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