Stock market prediction using machine learning classifiers and social media, news
Accurate stock market prediction is of great interest to investors; however, stock markets are
driven by volatile factors such as microblogs and news that make it hard to predict stock …
driven by volatile factors such as microblogs and news that make it hard to predict stock …
[HTML][HTML] A review on automatic analysis techniques for color fundus photographs
In this paper, we give a review on automatic image processing tools to recognize diseases
causing specific distortions in the human retina. After a brief summary of the biology of the …
causing specific distortions in the human retina. After a brief summary of the biology of the …
Big data analytics for dynamic energy management in smart grids
The smart electricity grid enables a two-way flow of power and data between suppliers and
consumers in order to facilitate the power flow optimization in terms of economic efficiency …
consumers in order to facilitate the power flow optimization in terms of economic efficiency …
Computerized retinal image analysis-a survey
K Mittal, VMA Rajam - Multimedia tools and Applications, 2020 - Springer
The speedy development of digital imaging and computer vision has extended the potential
of using these technologies in ophthalmology. Image processing systems are increasingly …
of using these technologies in ophthalmology. Image processing systems are increasingly …
Identification of crop type in crowdsourced road view photos with deep convolutional neural network
In situ ground truth data are an important requirement for producing accurate cropland type
map, and this is precisely what is lacking at vast scales. Although volunteered geographic …
map, and this is precisely what is lacking at vast scales. Although volunteered geographic …
On-device lumbar-pelvic movement detection using dual-IMU: a DNN-based approach
Lumbar-pelvic movements (LPMs) are generally performed in the clinical setting to identify
limitations in a range of movements. Continuous monitoring of these movements can …
limitations in a range of movements. Continuous monitoring of these movements can …
Decision tree integration using dynamic regions of competence
J Biedrzycki, R Burduk - Entropy, 2020 - mdpi.com
A vital aspect of the Multiple Classifier Systems construction process is the base model
integration. For example, the Random Forest approach used the majority voting rule to fuse …
integration. For example, the Random Forest approach used the majority voting rule to fuse …
Research contributions with algorithmic comparison on the diagnosis of diabetic retinopathy
AT Nair, K Muthuvel - International Journal of Image and Graphics, 2020 - World Scientific
The medical field has been revolutionized by the medical imaging system, which plays a key
role in providing information on the early life-saving detection of dreadful diseases. Diabetic …
role in providing information on the early life-saving detection of dreadful diseases. Diabetic …
Clustering and weighted scoring in geometric space support vector machine ensemble for highly imbalanced data classification
P Ksieniewicz, R Burduk - … , Amsterdam, The Netherlands, June 3–5, 2020 …, 2020 - Springer
Learning from imbalanced datasets is a challenging task for standard classification
algorithms. In general, there are two main approaches to solve the problem of imbalanced …
algorithms. In general, there are two main approaches to solve the problem of imbalanced …
Detection of regions of interest in retinal images using artificial neural networks and K-means clustering
T Caramihale, D Popescu… - 2016 22nd International …, 2016 - ieeexplore.ieee.org
The paper presents a new method for detecting and localizing regions of interest (ROI) in
retinal images. In the learning phase, the focus is on an efficient feature selection based on …
retinal images. In the learning phase, the focus is on an efficient feature selection based on …