AIMC Topic: Algorithms

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DeepFix: A Fully Convolutional Neural Network for Predicting Human Eye Fixations.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society Sep 1, 2017
Understanding and predicting the human visual attention mechanism is an active area of research in the fields of neuroscience and computer vision. In this paper, we propose DeepFix, a fully convolutional neural network, which models the bottom-up mec...
Neural Networks, Computer Machine Learning Algorithms Image Processing, Computer-Assisted Humans Models, Statistical Attention Fixation, Ocular
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Learning the Personalized Intransitive Preferences of Images.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society Sep 1, 2017
Most of the previous studies on the user preferences assume that there is a personal transitive preference ranking of the consumable media like images. For example, the transitivity of preferences is one of the most important assumptions in the recom...
Male ROC Curve Image Processing, Computer-Assisted Video Recording Models, Statistical Humans Algorithms Consumer Behavior Machine Learning Female
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Machine Learning, Sentiment Analysis, and Tweets: An Examination of Alzheimer's Disease Stigma on Twitter.

The journals of gerontology. Series B, Psychological sciences and social sciences Sep 1, 2017
OBJECTIVES: Social scientists need practical methods for harnessing large, publicly available datasets that inform the social context of aging. We describe our development of a semi-automated text coding method and use a content analysis of Alzheimer...
Aged Aged, 80 and over Male United States Machine Learning Humans Algorithms Female Alzheimer Disease Social Media Public Opinion Social Stigma Disability Evaluation Ageism Data Mining
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How machine learning could help to improve climate forecasts.

Nature Aug 23, 2017
Global Warming Meteorology Machine Learning Models, Theoretical Weather Algorithms Climate Forecasting
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A deep boosting based approach for capturing the sequence binding preferences of RNA-binding proteins from high-throughput CLIP-seq data.

Nucleic acids research Aug 21, 2017
Characterizing the binding behaviors of RNA-binding proteins (RBPs) is important for understanding their functional roles in gene expression regulation. However, current high-throughput experimental methods for identifying RBP targets, such as CLIP-s...
Gene Expression Regulation Base Sequence Binding Sites Nucleotide Motifs Mutation Internet High-Throughput Nucleotide Sequencing Binding, Competitive 3' Untranslated Regions Humans Machine Learning Algorithms Computational Biology RNA-Binding Proteins Reproducibility of Results Protein Binding
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Swarm Intelligence-Enhanced Detection of Non-Small-Cell Lung Cancer Using Tumor-Educated Platelets.

Cancer cell Aug 14, 2017
Blood-based liquid biopsies, including tumor-educated blood platelets (TEPs), have emerged as promising biomarker sources for non-invasive detection of cancer. Here we demonstrate that particle-swarm optimization (PSO)-enhanced algorithms enable effi...
Male Middle Aged Gene Expression Profiling Diagnosis, Computer-Assisted Aged, 80 and over Support Vector Machine Cohort Studies Humans Adult Female Carcinoma, Non-Small-Cell Lung High-Throughput Nucleotide Sequencing Lung Neoplasms Aged Biomarkers, Tumor Inflammation Blood Platelets Artificial Intelligence Algorithms
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Unintended Consequences of Machine Learning in Medicine.

JAMA Aug 8, 2017
Humans Physicians Hospitalization Machine Learning Algorithms Pneumonia Expert Systems Asthma Clinical Competence Decision Support Systems, Clinical
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T-GOWler: Discovering Generalized Process Models Within Texts.

Journal of computational biology : a journal of computational molecular cell biology Aug 1, 2017
Contemporary workflow management systems are driven by explicit process models specifying the interdependencies between tasks. Creating these models is a challenging and time-consuming task. Existing approaches to mining concrete workflows into model...
Semantics Gene Ontology Computational Biology Workflow Data Mining Humans Algorithms Phylogeny
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Malignancy Detection on Mammography Using Dual Deep Convolutional Neural Networks and Genetically Discovered False Color Input Enhancement.

Journal of digital imaging Aug 1, 2017
Breast cancer is the most prevalent malignancy in the US and the third highest cause of cancer-related mortality worldwide. Regular mammography screening has been attributed with doubling the rate of early cancer detection over the past three decades...
Algorithms Female Sensitivity and Specificity Datasets as Topic Image Enhancement Breast Neoplasms Humans Mammography Neural Networks, Computer
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Deep Learning for Brain MRI Segmentation: State of the Art and Future Directions.

Journal of digital imaging Aug 1, 2017
Quantitative analysis of brain MRI is routine for many neurological diseases and conditions and relies on accurate segmentation of structures of interest. Deep learning-based segmentation approaches for brain MRI are gaining interest due to their sel...
Forecasting Brain Magnetic Resonance Imaging Humans Machine Learning Algorithms
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