AIMC Topic: Probability

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Survival prediction for oral tongue cancer patients via probabilistic genetic algorithm optimized neural network models.

The British journal of radiology Jun 19, 2020
OBJECTIVES: High throughput pre-treatment imaging features may predict radiation treatment outcome and guide individualized treatment in radiotherapy (RT). Given relatively small patient sample (as compared with high dimensional imaging features), id...
Tomography, X-Ray Computed Carcinoma, Squamous Cell Reproducibility of Results Algorithms Prognosis Tongue Neoplasms Probability Tongue Neural Networks, Computer Principal Component Analysis Machine Learning Mouth Neoplasms Humans
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DeepDistance: A multi-task deep regression model for cell detection in inverted microscopy images.

Medical image analysis May 11, 2020
This paper presents a new deep regression model, which we call DeepDistance, for cell detection in images acquired with inverted microscopy. This model considers cell detection as a task of finding most probable locations that suggest cell centers in...
Microscopy Probability Neural Networks, Computer Algorithms Humans
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Multi-projection of unequal dimension optimal transport theory for Generative Adversary Networks.

Neural networks : the official journal of the International Neural Network Society May 4, 2020
As a major step forward in machine learning, generative adversarial networks (GANs) employ the Wasserstein distance as a metric between the generative distribution and target data distribution, and thus can be viewed as optimal transport (OT) problem...
Machine Learning Probability Image Processing, Computer-Assisted
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Prediction of Intracranial Aneurysm Risk using Machine Learning.

Scientific reports Apr 24, 2020
An efficient method for identifying subjects at high risk of an intracranial aneurysm (IA) is warranted to provide adequate radiological screening guidelines and effectively allocate medical resources. We developed a model for pre-diagnosis IA predic...
Humans Risk Factors Male Middle Aged Machine Learning Female Databases as Topic Intracranial Aneurysm Area Under Curve Models, Biological Incidence Probability ROC Curve
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A probabilistic approach for calibration time reduction in hybrid EEG-fTCD brain-computer interfaces.

Biomedical engineering online Apr 16, 2020
BACKGROUND: Generally, brain-computer interfaces (BCIs) require calibration before usage to ensure efficient performance. Therefore, each BCI user has to attend a certain number of calibration sessions to be able to use the system. However, such cali...
Calibration Brain-Computer Interfaces Humans Machine Learning Signal Processing, Computer-Assisted Electrodes Time Factors Probability Electroencephalography
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Deep learning for survival outcomes.

Statistics in medicine Apr 13, 2020
Deep learning is a class of machine learning algorithms that are popular for building risk prediction models. When observations are censored, the outcomes are only partially observed and standard deep learning algorithms cannot be directly applied. W...
Software Algorithms Probability Survival Analysis Deep Learning Humans Machine Learning
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Generative Adversarial Networks are special cases of Artificial Curiosity (1990) and also closely related to Predictability Minimization (1991).

Neural networks : the official journal of the International Neural Network Society Apr 13, 2020
I review unsupervised or self-supervised neural networks playing minimax games in game-theoretic settings: (i) Artificial Curiosity (AC, 1990) is based on two such networks. One network learns to generate a probability distribution over outputs, the ...
Goals Humans Artificial Intelligence Forecasting Neural Networks, Computer Unsupervised Machine Learning Probability
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Noise can speed backpropagation learning and deep bidirectional pretraining.

Neural networks : the official journal of the International Neural Network Society Apr 11, 2020
We show that the backpropagation algorithm is a special case of the generalized Expectation-Maximization (EM) algorithm for iterative maximum likelihood estimation. We then apply the recent result that carefully chosen noise can speed the average con...
Probability Deep Learning Neural Networks, Computer Neurons Algorithms
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Extracting boolean and probabilistic rules from trained neural networks.

Neural networks : the official journal of the International Neural Network Society Apr 3, 2020
This paper presents two approaches to extracting rules from a trained neural network consisting of linear threshold functions. The first one leads to an algorithm that extracts rules in the form of Boolean functions. Compared with an existing one, th...
Probability Algorithms Animals Neurons Humans Neural Networks, Computer
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Common Audiological Functional Parameters (CAFPAs) for single patient cases: deriving statistical models from an expert-labelled data set.

International journal of audiology Feb 24, 2020
Statistical knowledge about many patients could be exploited using machine learning to provide supporting information to otolaryngologists and other hearing health care professionals, but needs to be made accessible. The Common Audiological Function...
Models, Statistical Data Interpretation, Statistical Expert Systems Datasets as Topic Probability Humans Correction of Hearing Impairment Databases, Factual Hearing Tests Reproducibility of Results Audiology
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