AIMC Topic: Probability

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Impact of chart image characteristics on stock price prediction with a convolutional neural network.

PloS one Jun 23, 2021
Stock price prediction has long been the subject of research because of the importance of accuracy of prediction and the difficulty in forecasting. Traditionally, forecasting has involved linear models such as AR and MR or nonlinear models such as AN...
Image Processing, Computer-Assisted Algorithms Commerce Probability Forecasting Investments Models, Economic Humans Neural Networks, Computer
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Application of stacking hybrid machine learning algorithms in delineating multi-type flooding in Bangladesh.

Journal of environmental management Jun 18, 2021
Floods are among the most devastating natural hazards in Bangladesh. The country experiences multi-type floods (i.e., fluvial, flash, pluvial, and surge floods) every year. However, areas prone to multi-type floods have not yet been assessed on a nat...
Probability Bangladesh Floods Machine Learning Algorithms
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A new deep learning algorithm of 12-lead electrocardiogram for identifying atrial fibrillation during sinus rhythm.

Scientific reports Jun 17, 2021
Atrial fibrillation (AF) is the most prevalent arrhythmia and is associated with increased morbidity and mortality. Its early detection is challenging because of the low detection yield of conventional methods. We aimed to develop a deep learning-bas...
Aged Probability Artificial Intelligence Male Algorithms Humans Models, Cardiovascular Deep Learning Female Neural Networks, Computer Sinoatrial Node ROC Curve Middle Aged Electrocardiography Atrial Fibrillation
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Identifying factors associated with roadside work zone collisions using machine learning techniques.

Accident; analysis and prevention Jun 1, 2021
Identifying factors that are associated with the probability of roadside work zone collisions enables decision makers to better assess and control the risk of scheduling a particular maintenance or construction activity by modifying the characteristi...
Accidents, Traffic Probability Police Humans Machine Learning
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Unsupervised multi-sense language models for natural language processing tasks.

Neural networks : the official journal of the International Neural Network Society May 25, 2021
Existing language models (LMs) represent each word with only a single representation, which is unsuitable for processing words with multiple meanings. This issue has often been compounded by the lack of availability of large-scale data annotated with...
Natural Language Processing Probability Language Cluster Analysis
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Cost-sensitive learning for semi-supervised hit-and-run analysis.

Accident; analysis and prevention May 25, 2021
Hit-and-run crashes not only degrade the morality, but also result in delays of medical services provided to victims. However, class imbalance problem exists as the number of hit-and-run crashes is much smaller than that of non-hit-and-run crashes. T...
Probability Australia Accidents, Traffic Machine Learning Logistic Models Humans
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Probabilistic robustness estimates for feed-forward neural networks.

Neural networks : the official journal of the International Neural Network Society May 14, 2021
Robustness of deep neural networks is a critical issue in practical applications. In the general case of feed-forward neural networks (including convolutional deep neural network architectures), under random noise attacks, we propose to study the pro...
Neural Networks, Computer Probability
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Multi-periodicity of switched neural networks with time delays and periodic external inputs under stochastic disturbances.

Neural networks : the official journal of the International Neural Network Society Apr 8, 2021
This paper presents new theoretical results on the multi-periodicity of recurrent neural networks with time delays evoked by periodic inputs under stochastic disturbances and state-dependent switching. Based on the geometric properties of activation ...
Stochastic Processes Periodicity Time Factors Neural Networks, Computer Probability
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Identification and evaluation of maintenance error in catalyst replacement using the HEART technique under a fuzzy environment.

International journal of occupational safety and ergonomics : JOSE Mar 19, 2021
. A necessity for this study was felt in the catalyst replacement process as a maintenance operation, because some fatal incidents have occurred due to human error in process industries during catalyst replacement operation. Identification and evalua...
Accidents Probability Humans Reproducibility of Results Fuzzy Logic
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Distant metastasis time to event analysis with CNNs in independent head and neck cancer cohorts.

Scientific reports Mar 19, 2021
Deep learning models based on medical images play an increasingly important role for cancer outcome prediction. The standard approach involves usage of convolutional neural networks (CNNs) to automatically extract relevant features from the patient's...
Neck Female Lymphatic Metastasis Reproducibility of Results Probability Aged Netherlands Middle Aged Lymph Nodes Tumor Burden Humans Italy Biomarkers, Tumor Risk Assessment Time Factors Head and Neck Neoplasms Quebec Prognosis Image Processing, Computer-Assisted Deep Learning Follow-Up Studies Male
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