Douglas Burdick

Affiliations:
  • IBM Research


According to our database1, Douglas Burdick authored at least 39 papers between 2001 and 2022.

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Bibliography

2022
DI-2022: The Third Document Intelligence Workshop.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

2021
ICDAR 2021 Competition on Scientific Literature Parsing.
CoRR, 2021

Global Table Extractor (GTE): A Framework for Joint Table Identification and Cell Structure Recognition Using Visual Context.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

DI-2021: The Second Document Intelligence Workshop.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

TableLab: An Interactive Table Extraction System with Adaptive Deep Learning.
Proceedings of the IUI '21: 26th International Conference on Intelligent User Interfaces, 2021

ICDAR 2021 Competition on Scientific Literature Parsing.
Proceedings of the 16th International Conference on Document Analysis and Recognition, 2021

KAAPA: Knowledge Aware Answers from PDF Analysis.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Table Extraction and Understanding for Scientific and Enterprise Applications.
Proc. VLDB Endow., 2020

Global Table Extractor (GTE): A Framework for Joint Table Identification and Cell Structure Recognition Using Visual Context.
CoRR, 2020

2019
Expressive power of entity-linking frameworks.
J. Comput. Syst. Sci., 2019

Financial Entity Identification and Information Integration (FEIII) 2019 Challenge: The Report of the Organizing Committee.
Proceedings of the 5th Workshop on Data Science for Macro-modeling with Financial and Economic Datasets, 2019

DSMM'19: The 5<sup>th</sup> Workshop on Data Science for Macro-modeling with Financial and Economic Datasets.
Proceedings of the 2019 International Conference on Management of Data, 2019

Learning Explainable Entity Resolution Algorithms for Small Business Data using SystemER.
Proceedings of the 5th Workshop on Data Science for Macro-modeling with Financial and Economic Datasets, 2019

Simultaneous Optimisation of Image Quality Improvement and Text Content Extraction from Scanned Documents.
Proceedings of the 2019 International Conference on Document Analysis and Recognition, 2019

2018
Financial Entity Identification and Information Integration (FEIII) 2018 Challenge: The Report of the Organizing Committee.
Proceedings of the Fourth International Workshop on Data Science for Macro-Modeling with Financial and Economic Datasets, 2018

Defining and Capturing the Competitor Relationship across Financial Datasets.
Proceedings of the Fourth International Workshop on Data Science for Macro-Modeling with Financial and Economic Datasets, 2018

2017
Towards Re-defining Relation Understanding in Financial Domain.
Proceedings of the 3rd International Workshop on Data Science for Macro-Modeling with Financial and Economic Datasets, 2017

Financial Entity Identification and Information Integration (FEIII) 2017 Challenge: The Report of the Organizing Committee.
Proceedings of the 3rd International Workshop on Data Science for Macro-Modeling with Financial and Economic Datasets, 2017

2016
A Declarative Framework for Linking Entities.
ACM Trans. Database Syst., 2016

Exploiting Lists of Names for Named Entity Identification of Financial Institutions from Unstructured Documents.
CoRR, 2016

Towards High-Precision and Reusable Entity Resolution Algorithms over Sparse Financial Datasets.
Proceedings of the Second International Workshop on Data Science for Macro-Modeling, 2016

resMBS: Constructing a Financial Supply Chain from Prospectus.
Proceedings of the Second International Workshop on Data Science for Macro-Modeling, 2016

2015
Efficient sample generation for scalable meta learning.
Proceedings of the 31st IEEE International Conference on Data Engineering, 2015

2014
Hybrid Parallelization Strategies for Large-Scale Machine Learning in SystemML.
Proc. VLDB Endow., 2014

SystemML's Optimizer: Plan Generation for Large-Scale Machine Learning Programs.
IEEE Data Eng. Bull., 2014

Data Science Challenges in Real Estate Asset and Capital Markets.
Proceedings of the International Workshop on Data Science for Macro-Modeling, 2014

Financial Analytics from Public Data.
Proceedings of the International Workshop on Data Science for Macro-Modeling, 2014

2013
Compiling machine learning algorithms with SystemML.
Proceedings of the ACM Symposium on Cloud Computing, SOCC '13, 2013

High-Level Rules for Integration and Analysis of Data: New Challenges.
Proceedings of the In Search of Elegance in the Theory and Practice of Computation, 2013

2011
Extracting, Linking and Integrating Data from Public Sources: A Financial Case Study.
IEEE Data Eng. Bull., 2011

2010
Exploring schema similarity at multiple resolutions.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2010

OpenII: an open source information integration toolkit.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2010

2007
OLAP over uncertain and imprecise data.
VLDB J., 2007

OLAP over Imprecise Data with Domain Constraints.
Proceedings of the 33rd International Conference on Very Large Data Bases, 2007

DBLife: A Community Information Management Platform for the Database Research Community (Demo).
Proceedings of the Third Biennial Conference on Innovative Data Systems Research, 2007

2006
Efficient Allocation Algorithms for OLAP Over Imprecise Data.
Proceedings of the 32nd International Conference on Very Large Data Bases, 2006

2005
MAFIA: A Maximal Frequent Itemset Algorithm.
IEEE Trans. Knowl. Data Eng., 2005

2003
MAFIA: A Performance Study of Mining Maximal Frequent Itemsets.
Proceedings of the FIMI '03, 2003

2001
MAFIA: A Maximal Frequent Itemset Algorithm for Transactional Databases.
Proceedings of the 17th International Conference on Data Engineering, 2001


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