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Flattening the Density Gradient for Eliminating Spatial Centrality to Reduce Hubness.

, , , , and . AAAI, page 1659-1665. AAAI Press, (2016)

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Target Evaluation for Neural Language Model using Japanese Case Frame., , and . KDIR, page 251-258. SCITEPRESS, (2020)Reducing Hubness for Kernel Regression., , , , and . SISAP, volume 9371 of Lecture Notes in Computer Science, page 339-344. Springer, (2015)A graph-based approach for biomedical thesaurus expansion., , , and . DTMBIO, page 79-82. ACM, (2009)Impact of Duplicating Small Training Data on GANs., , and . DATA, page 308-315. SCITEPRESS, (2021)Investigating the Effectiveness of Laplacian-Based Kernels in Hub Reduction., , , , and . AAAI, page 1112-1118. AAAI Press, (2012)Bayesian Optimization With an Auxiliary Classifier for the Development of Polymer Materials., , , , , and . IEEE BigData, page 6014-6016. IEEE, (2021)Walk-based Computation of Contextual Word Similarity., , , and . COLING, page 1081-1096. Indian Institute of Technology Bombay, (2012)Annotating Cohesive Statements of Anatomical Knowledge Toward Semi-automated Information Extraction., , , and . KDIR, page 342-347. SciTePress, (2014)Reducing Hubness: A Cause of Vulnerability in Recommender Systems., , , and . SIGIR, page 815-818. ACM, (2015)Semantic Entanglement on Verb Negation., , and . DATA, page 71-78. SCITEPRESS, (2021)