AIMC Topic: Forecasting

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Prediction of telephone calls load using Echo State Network with exogenous variables.

Neural networks : the official journal of the International Neural Network Society Sep 7, 2015
We approach the problem of forecasting the load of incoming calls in a cell of a mobile network using Echo State Networks. With respect to previous approaches to the problem, we consider the inclusion of additional telephone records regarding the act...
Machine Learning Algorithms Forecasting Models, Theoretical Neural Networks, Computer Computer Communication Networks Cell Phone
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Predicting protein function and other biomedical characteristics with heterogeneous ensembles.

Methods (San Diego, Calif.) Sep 2, 2015
Prediction problems in biomedical sciences, including protein function prediction (PFP), are generally quite difficult. This is due in part to incomplete knowledge of the cellular phenomenon of interest, the appropriateness and data quality of the va...
Databases, Protein Machine Learning Algorithms Forecasting Proteins
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Improvement in the Prediction of Ventilator Weaning Outcomes by an Artificial Neural Network in a Medical ICU.

Respiratory care Sep 1, 2015
BACKGROUND: Twenty-five to 40% of patients pass a spontaneous breathing trial (SBT) but fail to wean from mechanical ventilation. There is no single appropriate and convenient predictor or method that can help clinicians to accurately predict weaning...
Respiration, Artificial Lung ROC Curve Aged, 80 and over Male Middle Aged Respiration Respiratory Function Tests Airway Extubation Ventilator Weaning Predictive Value of Tests Models, Biological Random Allocation Humans Female Aged Neural Networks, Computer Forecasting Intensive Care Units
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Enhancing protein function prediction with taxonomic constraints--The Argot2.5 web server.

Methods (San Diego, Calif.) Aug 28, 2015
Argot2.5 (Annotation Retrieval of Gene Ontology Terms) is a web server designed to predict protein function. It is an updated version of the previous Argot2 enriched with new features in order to enhance its usability and its overall performance. The...
Web Browser Algorithms Forecasting Proteins Databases, Protein Internet Gene Ontology
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A novel multivariate performance optimization method based on sparse coding and hyper-predictor learning.

Neural networks : the official journal of the International Neural Network Society Aug 4, 2015
In this paper, we investigate the problem of optimization of multivariate performance measures, and propose a novel algorithm for it. Different from traditional machine learning methods which optimize simple loss functions to learn prediction functio...
Algorithms Forecasting Reproducibility of Results Neural Networks, Computer Machine Learning Pattern Recognition, Automated Multivariate Analysis
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Forecasting Seizures Using Intracranial EEG Measures and SVM in Naturally Occurring Canine Epilepsy.

PloS one Aug 4, 2015
Management of drug resistant focal epilepsy would be greatly assisted by a reliable warning system capable of alerting patients prior to seizures to allow the patient to adjust activities or medication. Such a system requires successful identificatio...
Dog Diseases Models, Animal Electrodes, Implanted Telemetry Electroencephalography Epilepsy Dogs Humans Animals ROC Curve Forecasting Support Vector Machine Aged, 80 and over
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Complex Rotation Quantum Dynamic Neural Networks (CRQDNN) using Complex Quantum Neuron (CQN): Applications to time series prediction.

Neural networks : the official journal of the International Neural Network Society Jul 31, 2015
Quantum Neural Networks (QNN) models have attracted great attention since it innovates a new neural computing manner based on quantum entanglement. However, the existing QNN models are mainly based on the real quantum operations, and the potential of...
Machine Learning Algorithms Neural Networks, Computer Computers, Hybrid Rotation Forecasting Neurons Quantum Theory Computer Simulation Prognosis
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Impact of Noise on a Dynamical System: Prediction and Uncertainties from a Swarm-Optimized Neural Network.

Computational intelligence and neuroscience Jul 30, 2015
An artificial neural network (ANN) based on particle swarm optimization (PSO) was developed for the time series prediction. The hybrid ANN+PSO algorithm was applied on Mackey-Glass chaotic time series in the short-term x(t + 6). The performance predi...
Uncertainty Forecasting Computer Simulation Neural Networks, Computer Time Factors Artificial Intelligence Algorithms
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Towards a Food Safety Knowledge Base Applicable in Crisis Situations and Beyond.

BioMed research international Jul 13, 2015
In case of contamination in the food chain, fast action is required in order to reduce the numbers of affected people. In such situations, being able to predict the fate of agents in foods would help risk assessors and decision makers in assessing th...
Food Contamination Models, Statistical Foodborne Diseases Computer Simulation Risk Assessment Bioterrorism Humans Incidence Software Pandemics Knowledge Bases Forecasting Food Safety Databases, Factual Hazard Analysis and Critical Control Points
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Using wavelet-feedforward neural networks to improve air pollution forecasting in urban environments.

Environmental monitoring and assessment Jul 1, 2015
The paper presents the screening of various feedforward neural networks (FANN) and wavelet-feedforward neural networks (WFANN) applied to time series of ground-level ozone (O3), nitrogen dioxide (NO2), and particulate matter (PM10 and PM2.5 fractions...
Particulate Matter Romania Nitrogen Dioxide Air Pollutants Air Pollution Ozone Neural Networks, Computer Forecasting Models, Theoretical Environmental Monitoring Sensitivity and Specificity Cities
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