| Autotext: An End-To-End Autoai Framework For Text | 0 | 0.34 | 2021 |
| Table extraction and understanding for scientific and enterprise applications | 1 | 0.43 | 2020 |
| Table Extraction and Understanding for Scientific and Enterprise Applications. | 0 | 0.34 | 2020 |
| Efficient Data-Parallel Cumulative Aggregates for Large-Scale Machine Learning. | 0 | 0.34 | 2019 |
| MNC: Structure-Exploiting Sparsity Estimation for Matrix Expressions | 0 | 0.34 | 2019 |
| On Optimizing Operator Fusion Plans for Large-Scale Machine Learning in SystemML. | 0 | 0.34 | 2018 |
| On Optimizing Operator Fusion Plans for Large-Scale Machine Learning in SystemML. | 0 | 0.34 | 2018 |
| A Rectangle Mining Method for Understanding the Semantics of Financial Tables | 0 | 0.34 | 2017 |
| SPOOF: Sum-Product Optimization and Operator Fusion for Large-Scale Machine Learning. | 5 | 0.39 | 2017 |
| SystemML: Declarative Machine Learning on Spark. | 0 | 0.34 | 2016 |
| Declarative Machine Learning - A Classification of Basic Properties and Types. | 5 | 0.41 | 2016 |
| SystemML: Declarative Machine Learning on Spark. | 38 | 0.91 | 2016 |
| Efficient sample generation for scalable meta learning | 5 | 0.43 | 2015 |
| Financial Analytics from Public Data | 1 | 0.35 | 2014 |
| SystemML's Optimizer: Plan Generation for Large-Scale Machine Learning Programs. | 11 | 0.60 | 2014 |
| Privacy preserving mining of association rules | 431 | 35.03 | 2004 |
| A probabilistic algorithm for updating files over a communication link | 4 | 0.50 | 2000 |
