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04/25/2023
Fairness and Bias in Truth Discovery Algorithms: An Experimental Analysis
Machine learning (ML) based approaches are increasingly being used in a ...
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09/03/2019
Local Embeddings for Relational Data Integration
Integrating information from heterogeneous data sources is one of the fu...
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08/16/2019
AutoER: Automated Entity Resolution using Generative Modelling
Entity resolution (ER) refers to the problem of identifying records in o...
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07/31/2019
Are Outlier Detection Methods Resilient to Sampling?
Outlier detection is a fundamental task in data mining and has many appl...
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03/24/2019
Approximate Query Processing using Deep Generative Models
Data is generated at an unprecedented rate surpassing our ability to ana...
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03/24/2019
Multi-Attribute Selectivity Estimation Using Deep Learning
Selectivity estimation - the problem of estimating the result size of qu...
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09/28/2018
Reuse and Adaptation for Entity Resolution through Transfer Learning
Entity resolution (ER) is one of the fundamental problems in data integr...
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03/04/2018
Data Curation with Deep Learning [Vision]: Towards Self Driving Data Curation
Past. Data curation - the process of discovering, integrating, and clean...
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02/07/2018
Road Network Fusion for Incremental Map Updates
In the recent years a number of novel, automatic map-inference technique...
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10/02/2017
DeepER -- Deep Entity Resolution
Entity Resolution (ER) is a fundamental problem with many applications. ...
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02/20/2017
