| Neuro-Symbolic Inductive Logic Programming with Logical Neural Networks. | 0 | 0.34 | 2022 |
| Learning Explainable Linguistic Expressions with Neural Inductive Logic Programming for Sentence Classification. | 0 | 0.34 | 2020 |
| Exploiting Node Content for Multiview Graph Convolutional Network and Adversarial Regularization. | 0 | 0.34 | 2020 |
| A Comprehensive Benchmark Framework for Active Learning Methods in Entity Matching | 0 | 0.34 | 2020 |
| A Survey of the State of Explainable AI for Natural Language Processing | 0 | 0.34 | 2020 |
| Learning Electronic Health Records through Hyperbolic Embedding of Medical Ontologies. | 0 | 0.34 | 2019 |
| A Study on Interaction in Human-in-the-Loop Machine Learning for Text Analytics. | 0 | 0.34 | 2019 |
| SystemER: A Human-in-the-loop System for Explainable Entity Resolution. | 0 | 0.34 | 2019 |
| SystemER: A Human-in-the-loop System for Explainable Entity Resolution. | 0 | 0.34 | 2019 |
| HEIDL: Learning Linguistic Expressions with Deep Learning and Human-in-the-Loop. | 0 | 0.34 | 2019 |
| Learning-Based Methods with Human-in-the-Loop for Entity Resolution | 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 |
| Deep Learning with Apache SystemML. | 0 | 0.34 | 2018 |
| Creation and interaction with large-scale domain-specific knowledge bases | 0 | 0.34 | 2017 |
| Active Learning for Large-Scale Entity Resolution. | 6 | 0.41 | 2017 |
| Creation and Interaction with Large-scale Domain-Specific Knowledge Bases. | 0 | 0.34 | 2017 |
| 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 |
| SystemML: Declarative Machine Learning on Spark. | 38 | 0.91 | 2016 |
| SystemML's Optimizer: Plan Generation for Large-Scale Machine Learning Programs. | 11 | 0.60 | 2014 |
| Hybrid parallelization strategies for large-scale machine learning in SystemML | 33 | 1.14 | 2014 |
| Hybrid Parallelization Strategies for Large-Scale Machine Learning in SystemML. | 0 | 0.34 | 2014 |
| Community detection in content-sharing social networks | 15 | 0.91 | 2013 |
| Collective context-aware topic models for entity disambiguation | 26 | 0.98 | 2012 |
| Entity disambiguation with hierarchical topic models | 36 | 1.23 | 2011 |
| Web information extraction using Markov logic networks | 8 | 0.48 | 2011 |
| Read-Once Functions and Query Evaluation in Probabilistic Databases. | 0 | 0.34 | 2010 |
| Representing Large-Scale Uncertainty through Probabilistic Databases. | 0 | 0.34 | 2010 |
| Read-once functions and query evaluation in probabilistic databases | 22 | 0.73 | 2010 |
| PrDB: managing and exploiting rich correlations in probabilistic databases | 63 | 1.62 | 2009 |
| Bisimulation-based Approximate Lifted Inference | 22 | 1.02 | 2009 |
| Collective Classification in Network Data | 313 | 10.98 | 2008 |
| Exploiting shared correlations in probabilistic databases. | 0 | 0.34 | 2008 |
| Exploiting shared correlations in probabilistic databases | 49 | 1.67 | 2008 |
| Representing Tuple and Attribute Uncertainty in Probabilistic Databases | 15 | 0.84 | 2007 |
| Representing And Querying Correlated Tuples In Probabilistic Databases | 164 | 6.28 | 2007 |
| Cost-sensitive learning with conditional Markov networks | 11 | 0.62 | 2006 |
