AIMC Topic:
Databases, Factual

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Improving fold resistance prediction of HIV-1 against protease and reverse transcriptase inhibitors using artificial neural networks.

BMC bioinformatics Aug 15, 2017
BACKGROUND: Drug resistance in HIV treatment is still a worldwide problem. Predicting resistance to antiretrovirals (ARVs) before starting any treatment is important. Prediction accuracy is essential, as low-accuracy predictions increase the risk of ...
HIV Infections HIV-1 Reverse Transcriptase Inhibitors Drug Resistance, Viral HIV Protease HIV Protease Inhibitors Humans Neural Networks, Computer Databases, Factual HIV Reverse Transcriptase
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Photorealistic Monocular Gaze Redirection Using Machine Learning.

IEEE transactions on pattern analysis and machine intelligence Aug 14, 2017
We propose a general approach to the gaze redirection problem in images that utilizes machine learning. The idea is to learn to re-synthesize images by training on pairs of images with known disparities between gaze directions. We show that such lear...
Databases, Factual Female Male Neural Networks, Computer Machine Learning Decision Trees Face Facial Expression Deep Learning Eye Movements Image Processing, Computer-Assisted Humans Videoconferencing Fixation, Ocular
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Lung disease stratification using amalgamation of Riesz and Gabor transforms in machine learning framework.

Computers in biology and medicine Aug 14, 2017
Lung disease risk stratification is important for both diagnosis and treatment planning, particularly in biopsies and radiation therapy. Manual lung disease risk stratification is challenging because of: (a) large lung data sizes, (b) inter- and intr...
Humans Image Processing, Computer-Assisted Female Machine Learning Lung Diseases Databases, Factual Male Tomography, X-Ray Computed Risk Assessment
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Faceness-Net: Face Detection through Deep Facial Part Responses.

IEEE transactions on pattern analysis and machine intelligence Aug 11, 2017
We propose a deep convolutional neural network (CNN) for face detection leveraging on facial attributes based supervision. We observe a phenomenon that part detectors emerge within CNN trained to classify attributes from uncropped face images, withou...
Deep Learning Supervised Machine Learning Face Pattern Recognition, Automated Humans Neural Networks, Computer Artificial Intelligence Databases, Factual
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Heterogeneous Face Attribute Estimation: A Deep Multi-Task Learning Approach.

IEEE transactions on pattern analysis and machine intelligence Aug 10, 2017
Face attribute estimation has many potential applications in video surveillance, face retrieval, and social media. While a number of methods have been proposed for face attribute estimation, most of them did not explicitly consider the attribute corr...
Deep Learning Adolescent Face Facial Expression Biometric Identification Young Adult Adult Male Databases, Factual Female Humans Neural Networks, Computer
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Automated Breast Ultrasound Lesions Detection Using Convolutional Neural Networks.

IEEE journal of biomedical and health informatics Aug 7, 2017
Breast lesion detection using ultrasound imaging is considered an important step of computer-aided diagnosis systems. Over the past decade, researchers have demonstrated the possibilities to automate the initial lesion detection. However, the lack of...
Databases, Factual Female Humans Breast Neoplasms Ultrasonography, Mammary Neural Networks, Computer Breast Algorithms Image Interpretation, Computer-Assisted
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SiNC: Saliency-injected neural codes for representation and efficient retrieval of medical radiographs.

PloS one Aug 3, 2017
Medical image collections contain a wealth of information which can assist radiologists and medical experts in diagnosis and disease detection for making well-informed decisions. However, this objective can only be realized if efficient access is pro...
Humans Databases, Factual Neural Networks, Computer Image Processing, Computer-Assisted Radiography
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Two-Stream Transformer Networks for Video-Based Face Alignment.

IEEE transactions on pattern analysis and machine intelligence Aug 1, 2017
In this paper, we propose a two-stream transformer networks (TSTN) approach for video-based face alignment. Unlike conventional image-based face alignment approaches which cannot explicitly model the temporal dependency in videos and motivated by the...
Pattern Recognition, Automated Databases, Factual Facial Expression Deep Learning Regression Analysis Humans Biometric Identification Image Processing, Computer-Assisted Video Recording Neural Networks, Computer Face
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Combining sparse coding and time-domain features for heart sound classification.

Physiological measurement Jul 31, 2017
OBJECTIVE: This paper builds upon work submitted as part of the 2016 PhysioNet/CinC Challenge, which used sparse coding as a feature extraction tool on audio PCG data for heart sound classification.
Heart Sounds Humans Phonocardiography Databases, Factual Support Vector Machine Signal Processing, Computer-Assisted
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Efficient dynamic graph construction for inductive semi-supervised learning.

Neural networks : the official journal of the International Neural Network Society Jul 24, 2017
Most of graph construction techniques assume a transductive setting in which the whole data collection is available at construction time. Addressing graph construction for inductive setting, in which data are coming sequentially, has received much le...
Databases, Factual Least-Squares Analysis Supervised Machine Learning Pattern Recognition, Automated
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