AIMC Topic: Pattern Recognition, Automated
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Scaling up graph-based semisupervised learning via prototype vector machines.
IEEE transactions on neural networks and learning systems
Mar 1, 2015
When the amount of labeled data are limited, semisupervised learning can improve the learner's performance by also using the often easily available unlabeled data. In particular, a popular approach requires the learned function to be smooth on the un...
An enhanced fuzzy min-max neural network for pattern classification.
IEEE transactions on neural networks and learning systems
Mar 1, 2015
An enhanced fuzzy min-max (EFMM) network is proposed for pattern classification in this paper. The aim is to overcome a number of limitations of the original fuzzy min-max (FMM) network and improve its classification performance. The key contribution...
Backstepping fuzzy-neural-network control design for hybrid maglev transportation system.
IEEE transactions on neural networks and learning systems
Feb 1, 2015
This paper focuses on the design of a backstepping fuzzy-neural-network control (BFNNC) for the online levitated balancing and propulsive positioning of a hybrid magnetic levitation (maglev) transportation system. The dynamic model of the hybrid magl...
A Random Forest-based ensemble method for activity recognition.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Jan 1, 2015
This paper presents a multi-sensor ensemble approach to human physical activity (PA) recognition, using random forest. We designed an ensemble learning algorithm, which integrates several independent Random Forest classifiers based on different senso...
Segmentation of acne lesion using fuzzy C-means technique with intelligent selection of the desired cluster.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Jan 1, 2015
Segmentation is the basic and important step for digital image analysis and understanding. Segmentation of acne lesions in the visual spectrum of light is very challenging due to factors such as varying skin tones due to ethnicity, camera calibration...
Predicting Protein-Protein Interaction Sites with a Novel Membership Based Fuzzy SVM Classifier.
IEEE/ACM transactions on computational biology and bioinformatics
Jan 1, 2015
Predicting residues that participate in protein-protein interactions (PPI) helps to identify, which amino acids are located at the interface. In this paper, we show that the performance of the classical support vector machine (SVM) algorithm can furt...
Using Semantic Association to Extend and Infer Literature-Oriented Relativity Between Terms.
IEEE/ACM transactions on computational biology and bioinformatics
Jan 1, 2015
Relative terms often appear together in the literature. Methods have been presented for weighting relativity of pairwise terms by their co-occurring literature and inferring new relationship. Terms in the literature are also in the directed acyclic g...
Mining Gene Regulatory Networks by Neural Modeling of Expression Time-Series.
IEEE/ACM transactions on computational biology and bioinformatics
Jan 1, 2015
Discovering gene regulatory networks from data is one of the most studied topics in recent years. Neural networks can be successfully used to infer an underlying gene network by modeling expression profiles as times series. This work proposes a novel...
BMExpert: Mining MEDLINE for Finding Experts in Biomedical Domains Based on Language Model.
IEEE/ACM transactions on computational biology and bioinformatics
Jan 1, 2015
With the rapid development of biomedical sciences, a great number of documents have been published to report new scientific findings and advance the process of knowledge discovery. By the end of 2013, the largest biomedical literature database, MEDLI...
A Machine Learning Based Approach to de novo Sequencing of Glycans from Tandem Mass Spectrometry Spectrum.
IEEE/ACM transactions on computational biology and bioinformatics
Jan 1, 2015
Recently, glycomics has been actively studied and various technologies for glycomics have been rapidly developed. Currently, tandem mass spectrometry (MS/MS) is one of the key experimental tools for identification of structures of oligosaccharides. M...
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