AIMC Topic: Machine Learning

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Deep Learning for Computer Vision: A Brief Review.

Computational intelligence and neuroscience Feb 1, 2018
Over the last years deep learning methods have been shown to outperform previous state-of-the-art machine learning techniques in several fields, with computer vision being one of the most prominent cases. This review paper provides a brief overview o...
Neural Networks, Computer Humans Machine Learning Algorithms
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Vineyard water status assessment using on-the-go thermal imaging and machine learning.

PloS one Feb 1, 2018
The high impact of irrigation in crop quality and yield in grapevine makes the development of plant water status monitoring systems an essential issue in the context of sustainable viticulture. This study presents an on-the-go approach for the estima...
Vitis Dehydration Crops, Agricultural Algorithms Computer Simulation Agricultural Irrigation Wine Machine Learning
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Feature expansion by a continuous restricted Boltzmann machine for near-infrared spectrometric calibration.

Analytica chimica acta Jan 31, 2018
A modified algorithm for training a restricted Boltzmann machine (RBM) has been devised and demonstrated for improving the results for partial least squares (PLS) calibration of wheat and meat by near-infrared (NIR) spectroscopy. In all cases, the PL...
Machine Learning Least-Squares Analysis Meat Calibration Algorithms Spectroscopy, Near-Infrared Proteins Fats
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The rise of deep learning in drug discovery.

Drug discovery today Jan 31, 2018
Over the past decade, deep learning has achieved remarkable success in various artificial intelligence research areas. Evolved from the previous research on artificial neural networks, this technology has shown superior performance to other machine l...
Drug Discovery Diagnostic Imaging Datasets as Topic Neural Networks, Computer Machine Learning
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Learning-based classification of informative laryngoscopic frames.

Computer methods and programs in biomedicine Jan 31, 2018
BACKGROUND AND OBJECTIVE: Early-stage diagnosis of laryngeal cancer is of primary importance to reduce patient morbidity. Narrow-band imaging (NBI) endoscopy is commonly used for screening purposes, reducing the risks linked to a biopsy but at the co...
Pattern Recognition, Automated Diagnosis, Computer-Assisted Humans Laryngoscopy Support Vector Machine Machine Learning Laryngeal Neoplasms Early Detection of Cancer
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NiftyNet: a deep-learning platform for medical imaging.

Computer methods and programs in biomedicine Jan 31, 2018
BACKGROUND AND OBJECTIVES: Medical image analysis and computer-assisted intervention problems are increasingly being addressed with deep-learning-based solutions. Established deep-learning platforms are flexible but do not provide specific functional...
Ultrasonography Image Processing, Computer-Assisted Abdomen Databases, Factual Brain Computer Simulation Humans Magnetic Resonance Imaging Neural Networks, Computer Diagnostic Imaging Machine Learning
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Machine Learning on a Genome-wide Association Study to Predict Late Genitourinary Toxicity After Prostate Radiation Therapy.

International journal of radiation oncology, biology, physics Jan 31, 2018
PURPOSE: Late genitourinary (GU) toxicity after radiation therapy limits the quality of life of prostate cancer survivors; however, efforts to explain GU toxicity using patient and dose information have remained unsuccessful. We identified patients w...
Area Under Curve Prostatic Neoplasms Androgen Antagonists Confidence Intervals Machine Learning Genotyping Techniques Urogenital System Reproducibility of Results Nocturia Brachytherapy Male Polymorphism, Single Nucleotide Quality of Life Humans Urinary Retention Regression Analysis Genome-Wide Association Study Urination Predictive Value of Tests Urination Disorders Symptom Assessment Risk Lower Urinary Tract Symptoms
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A novel, fast and efficient single-sensor automatic sleep-stage classification based on complementary cross-frequency coupling estimates.

Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology Jan 31, 2018
OBJECTIVE: Limitations of the manual scoring of polysomnograms, which include data from electroencephalogram (EEG), electro-oculogram (EOG), electrocardiogram (ECG) and electromyogram (EMG) channels have long been recognized. Manual staging is resour...
Sleep Stages Time Factors Electroencephalography Polysomnography Humans Machine Learning
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Simultaneous detection and classification of breast masses in digital mammograms via a deep learning YOLO-based CAD system.

Computer methods and programs in biomedicine Jan 31, 2018
BACKGROUND AND OBJECTIVE: Automatic detection and classification of the masses in mammograms are still a big challenge and play a crucial role to assist radiologists for accurate diagnosis. In this paper, we propose a novel Computer-Aided Diagnosis (...
Probability Radiology Information Systems Breast Neoplasms Diagnosis, Computer-Assisted Mammography Humans Neural Networks, Computer Machine Learning Female Reproducibility of Results
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Deep neural network for traffic sign recognition systems: An analysis of spatial transformers and stochastic optimisation methods.

Neural networks : the official journal of the International Neural Network Society Jan 31, 2018
This paper presents a Deep Learning approach for traffic sign recognition systems. Several classification experiments are conducted over publicly available traffic sign datasets from Germany and Belgium using a Deep Neural Network which comprises Con...
Benchmarking Machine Learning Humans Automobile Driving Algorithms Location Directories and Signs Neural Networks, Computer Stochastic Processes Databases, Factual Pattern Recognition, Visual
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