11 citations · 19 across the 4 of their papers we have counts for
4 papers
Efficiently Estimating Mutual Information Between Attributes Across Tables
Aécio Santos, Flip Korn, Juliana Freire
Relational data augmentation is a powerful technique for enhancing data analytics and improving machine learning models by incorporating columns from external datasets. However, it…
HexCNN: A Framework for Native Hexagonal Convolutional Neural Networks
Yunxiang Zhao, Qiuhong Ke, Flip Korn +2
Hexagonal CNN models have shown superior performance in applications such as IACT data analysis and aerial scene classification due to their better rotation symmetry and reduced an…
Investigating Rumor News Using Agreement-Aware Search
Jingbo Shang, Tianhang Sun, Jiaming Shen +6
Recent years have witnessed a widespread increase of rumor news generated by humans and machines. Therefore, tools for investigating rumor news have become an urgent necessity. One…
On Parsimonious Explanations for 2-D Tree- and Linearly-Ordered Data
Howard Karloff, Flip Korn, Konstantin Makarychev +1
This paper studies the "explanation problem" for tree- and linearly-ordered array data, a problem motivated by database applications and recently solved for the one-dimensional tre…