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Embedding Learning for Declarative Memories.

, , , and . ESWC (1), volume 10249 of Lecture Notes in Computer Science, page 202-216. (2017)

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Predicting the co-evolution of event and Knowledge Graphs., , , , and . FUSION, page 98-105. IEEE, (2016)Embedding Learning for Declarative Memories., , , and . ESWC (1), volume 10249 of Lecture Notes in Computer Science, page 202-216. (2017)Learning representations for supervised information fusion using tensor decompositions and deep learning methods.. Ludwig Maximilian University of Munich, Germany, (2019)Improving Information Extraction from Images with Learned Semantic Models., , and . IJCAI, page 5214-5218. ijcai.org, (2018)Analyzing Customer Feedback for Product Fit Prediction.. CoRR, (2019)Improving Visual Relationship Detection Using Semantic Modeling of Scene Descriptions., , and . International Semantic Web Conference (1), volume 10587 of Lecture Notes in Computer Science, page 53-68. Springer, (2017)Type-Constrained Representation Learning in Knowledge Graphs., , and . International Semantic Web Conference (1), volume 9366 of Lecture Notes in Computer Science, page 640-655. Springer, (2015)Attention-based Information Fusion using Multi-Encoder-Decoder Recurrent Neural Networks., , and . ESANN, (2017)Predicting Clinical Events by Combining Static and Dynamic Information Using Recurrent Neural Networks., , , , and . ICHI, page 93-101. IEEE Computer Society, (2016)Learning with Memory Embeddings., , , , and . CoRR, (2015)