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The Organization of Behavior

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Electricity price forecasting: A review of the state-of-the-art with a look into the future

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The Matthews correlation coefficient (MCC) is more reliable than balanced accuracy, bookmaker informedness, and markedness in two-class confusion matrix evaluation

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Enforcing Analytic Constraints in Neural Networks Emulating Physical Systems

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Types of machine learning algorithms

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Big data analytics for dynamic energy management in smart grids

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Metasurface-enabled on-chip multiplexed diffractive neural networks in the visible

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Optimization of Conductance Change in Pr1–xCaxMnO3-Based Synaptic Devices for Neuromorphic Systems

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Computational chemistry for water-splitting electrocatalysis

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Empirical Study on Applications of Data Mining Techniques in Healthcare

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A systematic comparison of supervised classifiers

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Prediction of outcome in acute lower-gastrointestinal haemorrhage based on an artificial neural network: internal and external validation of a predictive model

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DeepFakE: improving fake news detection using tensor decomposition-based deep neural network

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Calibrating Models in Economic Evaluation: A Seven-Step Approach

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GWO: a review and applications

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Machine Learning for Security in Vehicular Networks: A Comprehensive Survey

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On User-Centric Modular QoE Prediction for VoIP Based on Machine-Learning Algorithms

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Using sentiment analysis to predict opinion inversion in Tweets of political communication

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Machine learning for glass science and engineering: A review

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Seasonal variation in onset and relapse of IBD and a model to predict the frequency of onset, relapse, and severity of IBD based on artificial neural network

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Predicting online shopping cart abandonment with machine learning approaches

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Possible contribution of advanced statistical methods (artificial neural networks and linear discriminant analysis) in recognition of patients with suspected atrophic body gastritis

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Bus Journey and Arrival Time Prediction based on Archived AVL/GPS data using Machine Learning

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KINNTREX: a neural network to unveil protein mechanisms from time-resolved X-ray crystallography

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