Artificial Intelligence (Latest Articles)

Latest indexed articles for 'Artificial Intelligence'

Articles 161 to 170 of 200:

Statistics over features: EEG signals analysis.

22 Jun 2009 This paper presented the usage of statistics over the set of the features representing the electroencephalogram (EEG) signals. Since classification is more accurate when the pattern is simplified through representation by important features, feature ...
rec_pub_19555931-statistics-features-eeg-signals-analysis.htm

Gene-based multiclass cancer diagnosis with class-selective rejections.

22 Jun 2009 Supervised learning of microarray data is receiving much attention in recent years. Multiclass cancer diagnosis, based on selected gene profiles, are used as adjunct of clinical diagnosis. However, supervised diagnosis may hinder patient care, add ...
rec_pub_19584932-gene-based-multiclass-cancer-diagnosis-class-selective-rejections.htm

Understanding physiological and degenerative natural vision mechanisms to define contrast and contour operators.

21 Jun 2009 BACKGROUND: Dynamical systems like neural networks based on lateral inhibition have a large field of applications in image processing, robotics and morphogenesis modeling. In this paper, we will propose some examples of dynamical flows used in image ...
rec_pub_19547712-understanding-physiological-degenerative-natural-vision-mechanisms.htm

SOLpro: accurate sequence-based prediction of protein solubility.

21 Jun 2009 MOTIVATION: Protein insolubility is a major obstacle for many experimental studies. A sequence-based prediction method able to accurately predict the propensity of a protein to be soluble on overexpression could be used, for instance, to prioritize ...
rec_pub_19549632-solpro-accurate-sequence-based-prediction-protein-solubility.htm

Automatic particle selection from electron micrographs using machine learning techniques.

21 Jun 2009 The 3D reconstruction of biological specimens using Electron Microscopy is currently capable of achieving subnanometer resolution. Unfortunately, this goal requires gathering tens of thousands of projection images that are frequently selected ...
rec_pub_19555764-automatic-particle-selection-electron-micrographs-using-machine.htm

Developing prognostic systems of cancer patients by ensemble clustering.

21 Jun 2009 Accurate prediction of survival rates of cancer patients is often key to stratify patients for prognosis and treatment. Survival prediction is often accomplished by the TNM system that involves only three factors: tumor extent, lymph node ...
rec_pub_19584918-developing-prognostic-systems-cancer-patients-ensemble-clustering.htm

In silico log P prediction for a large data set with support vector machines, radial basis neural networks and multiple linear regression.

20 Jun 2009 Oil/water partition coefficient (log P) is one of the key points for lead compound to be drug. In silico log P models based solely on chemical structures have become an important part of modern drug discovery. Here, we report support vector ...
rec_pub_19549084-in-silico-log-p-prediction-large-data-set-support-vector-machines.htm

Spatio-temporal Hotelling observer for signal detection from image sequences.

20 Jun 2009 Detection of signals in noisy images is necessary in many applications, including astronomy and medical imaging. The optimal linear observer for performing a detection task, called the Hotelling observer in the medical literature, can be regarded as ...
rec_pub_19550494-spatio-temporal-hotelling-observer-signal-detection-image-sequences.htm

An intelligent model for liver disease diagnosis.

19 Jun 2009 OBJECTIVES: Liver disease, the most common disease in Taiwan, is not easily discovered in its initial stage; early diagnosis of this leading cause of mortality is therefore highly important. The design of an effective diagnosis model is therefore an ...
rec_pub_19540738-an-intelligent-model-liver-disease-diagnosis.htm

SVM-based computer-aided diagnosis of the Alzheimer's disease using t-test NMSE feature selection with feature correlation weighting.

19 Jun 2009 This letter shows a computer-aided diagnosis (CAD) technique for the early detection of the Alzheimer's disease (AD) based on single photon emission computed tomography (SPECT) image feature selection and a statistical learning theory classifier. ...
rec_pub_19549559-svm-based-computer-aided-diagnosis-alzheimer-s-disease-using-t-test.htm

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