AIMC Topic: Algorithms

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A New Hybrid Model FPA-SVM Considering Cointegration for Particular Matter Concentration Forecasting: A Case Study of Kunming and Yuxi, China.

Computational intelligence and neuroscience
Air pollution in China is becoming more serious especially for the particular matter (PM) because of rapid economic growth and fast expansion of urbanization. To solve the growing environment problems, daily PM2.5 and PM10 concentration data form Jan...

Vascular tree tracking and bifurcation points detection in retinal images using a hierarchical probabilistic model.

Computer methods and programs in biomedicine
BACKGROUND AND OBJECTIVE: Retinal vascular tree extraction plays an important role in computer-aided diagnosis and surgical operations. Junction point detection and classification provide useful information about the structure of the vascular network...

Discriminatively Trained Latent Ordinal Model for Video Classification.

IEEE transactions on pattern analysis and machine intelligence
We address the problem of video classification for facial analysis and human action recognition. We propose a novel weakly supervised learning method that models the video as a sequence of automatically mined, discriminative sub-events (e.g., onset a...

Word2Vec inversion and traditional text classifiers for phenotyping lupus.

BMC medical informatics and decision making
BACKGROUND: Identifying patients with certain clinical criteria based on manual chart review of doctors' notes is a daunting task given the massive amounts of text notes in the electronic health records (EHR). This task can be automated using text cl...

Scene text detection via extremal region based double threshold convolutional network classification.

PloS one
In this paper, we present a robust text detection approach in natural images which is based on region proposal mechanism. A powerful low-level detector named saliency enhanced-MSER extended from the widely-used MSER is proposed by incorporating salie...

Reinforcement learning-based control of drug dosing for cancer chemotherapy treatment.

Mathematical biosciences
The increasing threat of cancer to human life and the improvement in survival rate of this disease due to effective treatment has promoted research in various related fields. This research has shaped clinical trials and emphasized the necessity to pr...

Discrimination of plant root zone water status in greenhouse production based on phenotyping and machine learning techniques.

Scientific reports
Plant-based sensing on water stress can provide sensitive and direct reference for precision irrigation system in greenhouse. However, plant information acquisition, interpretation, and systematical application remain insufficient. This study develop...

A New Method for Automatic Sleep Stage Classification.

IEEE transactions on biomedical circuits and systems
Traditionally, automatic sleep stage classification is quite a challenging task because of the difficulty in translating open-textured standards to mathematical models and the limitations of handcrafted features. In this paper, a new system for autom...

A Grey Wolf Optimizer for Modular Granular Neural Networks for Human Recognition.

Computational intelligence and neuroscience
A grey wolf optimizer for modular neural network (MNN) with a granular approach is proposed. The proposed method performs optimal granulation of data and design of modular neural networks architectures to perform human recognition, and to prove its e...