Adel Ardalan

Orcid: 0000-0001-5061-7832

According to our database1, Adel Ardalan authored at least 17 papers between 2010 and 2022.

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Bibliography

2022
Toward Data Cleaning with a Target Accuracy: A Case Study for Value Normalization.
Proceedings of the IEEE International Conference on Big Data, 2022

2021
Recurrent neural network models for working memory of continuous variables: activity manifolds, connectivity patterns, and dynamic codes.
CoRR, 2021

2019
Entity Matching Meets Data Science: A Progress Report from the Magellan Project.
Proceedings of the 2019 International Conference on Management of Data, 2019

2018
Technical Perspective: : Toward Building Entity Matching Management Systems.
SIGMOD Rec., 2018

In-RDBMS Hardware Acceleration of Advanced Analytics.
Proc. VLDB Endow., 2018

Smurf: Self-Service String Matching Using Random Forests.
Proc. VLDB Endow., 2018

Toward a System Building Agenda for Data Integration (and Data Science).
IEEE Data Eng. Bull., 2018

2017
Toward a System Building Agenda for Data Integration.
CoRR, 2017

Human-in-the-Loop Challenges for Entity Matching: A Midterm Report.
Proceedings of the 2nd Workshop on Human-In-the-Loop Data Analytics, 2017

2016
Magellan: Toward Building Entity Matching Management Systems over Data Science Stacks.
Proc. VLDB Endow., 2016

Magellan: Toward Building Entity Matching Management Systems.
Proc. VLDB Endow., 2016

2013
Social Media Analytics: The Kosmix Story.
IEEE Data Eng. Bull., 2013

2012
Mathematical Analysis and Computational Integration of Massive Heterogeneous Data from the Human Retina.
Proceedings of the Technological Innovation for Value Creation, 2012

2011
Design and Applications of Intelligent Systems in Identifying Future Occurrence of Tuberculosis Infection in Population at Risk.
Proceedings of the Technological Innovation for Sustainability, 2011

2010
Prediction of Protein Secondary Structure Based on NMR Chemical Shift Data Using Support Vector Machines.
Proceedings of the 12th UKSim, 2010

Pattern Recognition in Collective Cognitive Systems: Hybrid Human-Machine Learning (HHML) By Heterogeneous Ensembles.
Proceedings of the 2010 International Conference on Artificial Intelligence, 2010

Applications of Machine Learning Methods to Quantifying Phenotypic Traits that Distinguish the Wild Type from the Mutant Arabidopsis Thaliana Seedlings during Root Gravitropism.
Proceedings of the International Conference on Bioinformatics & Computational Biology, 2010


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