Consumer-side fairness in recommender systems: a systematic survey of methods and evaluation |
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Applying Bayesian optimization to predict parameters in a time-domain model for cross-flow vortex-induced vibrations |
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Deep Contextual Grid Triplet Network for Context-Aware Recommendation |
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Machine Learning in Financial Market Surveillance: A Survey |
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Probabilistic Models with Deep Neural Networks |
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Variational Inference over Nonstationary Data Streams for Exponential Family Models |
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Analyzing concept drift: A case study in the financial sector |
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Application of data-driven models in the analysis of marine power systems |
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Learning similarity measures from data |
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AMIDST: A Java toolbox for scalable probabilistic machine learning |
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A review of inference algorithms for hybrid Bayesian networks |
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Effective hate-speech detection in Twitter data using recurrent neural networks |
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A deep network model for paraphrase detection in short text messages |
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Scalable importance sampling estimation of Gaussian mixture posteriors in Bayesian networks |
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A parallel algorithm for Bayesian network structure learning from large data sets |
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Scaling up Bayesian variational inference using distributed computing clusters |
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MAP inference in dynamic hybrid Bayesian networks |
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Short-Term Load Forecasting With Seasonal Decomposition Using Evolution for Parameter Tuning |
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Scalable learning of probabilistic latent models for collaborative filtering |
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Learning Mixtures of Truncated Basis Functions from Data |
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A classification-based approach to monitoring the safety of dynamic systems |
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A latent model for collaborative filtering |
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Frontiers in Artificial Intelligence and Applications: Preface |
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Parameter Estimation and Model Selection for Mixtures of Truncated Exponentials |
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Maximum Likelihood Learning of Conditional MTE Distributions |
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Latent Classification Models for Binary Data |
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Inference in hybrid Bayesian networks |
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Bayesian networks in reliability |
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Modelling of dependence between critical failure and preventive maintenance: The repair alert model |
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Competing risks for repairable systems: A data study |
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Classification using Hierarchical Naïve Bayes models |
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Latent classification models |
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Failure modeling and maintenance optimization for a railway line |
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Fusion of domain knowledge with data for structural learning in object oriented domains |
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Decision theoretic troubleshooting of coherent systems |
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The SACSO methodology for troubleshooting complex systems |
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Parameter learning in object-oriented Bayesian networks |
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Uncertainty bounds for a monotone multistate system |
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Analysis of OREDA data for maintenance optimisation |
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