Extraction of semantic biomedical relations from text using conditional random fieldsDiscovering Similarity and Dissimilarity Relations for Knowledge Propagation in Web OntologiesEmbedding Learning for Declarative MemoriesFactorizing YAGOClassification of rheumatoid joint inflammation based on laser imaging.Assessment of proximal finger joint inflammation in patients with rheumatoid arthritis, using a novel laser-based imaging technique.A Review of Relational Machine Learning for Knowledge GraphsA Three-Way Model for Collective Learning on Multi-Relational DataPredicting Visual Acuity by Using Machine Learning in Patients Treated for Neovascular Age-Related Macular Degeneration.Improving Visual Relationship Detection Using Semantic Modeling of Scene DescriptionsTowards LarKC: A Platform for Web-Scale ReasoningDigging for knowledge with information extractionMining the Semantic WebBOTTARI: An augmented reality mobile application to deliver personalized and location-based recommendations by continuous analysis of social media streamsTowards BOTTARI: Using Stream Reasoning to Make Sense of Location-Based Micro-postsSemantic Traffic-Aware Routing Using the LarKC PlatformBig Data: Practical Applications [Scanning the Issue]A Recommender System for Complex Real-World Applications with Nonlinear Dependencies and Knowledge Graph ContextA Neural Network Approach for Three-Dimensional Object RecognitionNeural Control for Rolling Mills: Incorporating Domain Theories to Overcome Data DeficiencySome Solutions to the Missing Feature Problem in VisionNetwork Structuring and Training Using Rule-based KnowledgeTraining Neural Networks with Deficient DataCombining Estimators Using Non-Constant Weighting FunctionsEfficient Methods for Dealing with Missing Data in Supervised LearningDiscovering Structure in Continuous Variables Using Bayesian NetworksImproved Gaussian Mixture Density Estimates Using Bayesian Penalty Terms and Network AveragingReducing the Rank in Relational Factorization Models by Including Observable PatternsStochastic Relational Models for Discriminative Link PredictionSoft Clustering on GraphsLearning Gaussian Process Kernels via Hierarchical BayesGPPS: A Gaussian Process Positioning System for Cellular NetworksTransductive and Inductive Methods for Approximate Gaussian Process RegressionThe RA Scanner: Prediction of Rheumatoid Joint Inflammation Based on Laser ImagingMixtures of Gaussian ProcessesRobust Neural Network Regression for Offline and Online LearningFisher Scoring and a Mixture of Modes Approach for Approximate Inference and Learning in Nonlinear State Space ModelsCall-Based Fraud Detection in Mobile Communication Networks Using a Hierarchical Regime-Switching ModelNonlinear Markov Networks for Continuous VariablesA Solution for Missing Data in Recurrent Neural Networks with an Application to Blood Glucose Prediction
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