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Douglas Burdick
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- affiliation: IBM Research
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2020 – today
- 2022
- [c31]Ani Nenkova, Douglas Burdick, Benjamin Han, Dave Lewis, Sandeep Tata, Dan Tecuci:
DI-2022: The Third Document Intelligence Workshop. KDD 2022: 4890-4891 - 2021
- [c30]Nicolas R. Fauceglia, Mustafa Canim, Alfio Gliozzo, Jennifer J. Liang, Nancy Xin Ru Wang, Douglas Burdick, Nandana Mihindukulasooriya, Vittorio Castelli, Guy Feigenblat, David Konopnicki, Yannis Katsis, Radu Florian, Yunyao Li, Salim Roukos, Avirup Sil:
KAAPA: Knowledge Aware Answers from PDF Analysis. AAAI 2021: 16029-16031 - [c29]Antonio Jimeno-Yepes, Peter Zhong, Douglas Burdick:
ICDAR 2021 Competition on Scientific Literature Parsing. ICDAR (4) 2021: 605-617 - [c28]Nancy Xin Ru Wang, Douglas Burdick, Yunyao Li:
TableLab: An Interactive Table Extraction System with Adaptive Deep Learning. IUI Companion 2021: 87-89 - [c27]Benjamin Han, Douglas Burdick, Dave Lewis, Yijuan Lu, Hamid Motahari, Sandeep Tata:
DI-2021: The Second Document Intelligence Workshop. KDD 2021: 4127-4128 - [c26]Xinyi Zheng, Douglas Burdick, Lucian Popa, Xu Zhong, Nancy Xin Ru Wang:
Global Table Extractor (GTE): A Framework for Joint Table Identification and Cell Structure Recognition Using Visual Context. WACV 2021: 697-706 - [i4]Nancy Xin Ru Wang, Douglas Burdick, Yunyao Li:
TableLab: An Interactive Table Extraction System with Adaptive Deep Learning. CoRR abs/2102.08445 (2021) - [i3]Antonio Jimeno-Yepes, Xu Zhong, Douglas Burdick:
ICDAR 2021 Competition on Scientific Literature Parsing. CoRR abs/2106.14616 (2021) - 2020
- [j8]Doug Burdick, Marina Danilevsky, Alexandre V. Evfimievski, Yannis Katsis, Nancy Xin Ru Wang:
Table Extraction and Understanding for Scientific and Enterprise Applications. Proc. VLDB Endow. 13(12): 3433-3436 (2020) - [e1]Douglas Burdick, Jay Pujara:
Proceedings of the Sixth International Workshop on Data Science for Macro-Modeling, DSMM 2020, In conjunction with the ACM SIGMOD/PODS Conference, Portland, OR, USA, June 14, 2020. ACM 2020, ISBN 978-1-4503-8030-0 [contents] - [i2]Xinyi Zheng, Douglas Burdick, Lucian Popa, Nancy Xin Ru Wang:
Global Table Extractor (GTE): A Framework for Joint Table Identification and Cell Structure Recognition Using Visual Context. CoRR abs/2005.00589 (2020)
2010 – 2019
- 2019
- [j7]Douglas Burdick, Ronald Fagin, Phokion G. Kolaitis, Lucian Popa, Wang-Chiew Tan:
Expressive power of entity-linking frameworks. J. Comput. Syst. Sci. 100: 44-69 (2019) - [c25]Shashank Mujumdar, Nitin Gupta, Abhinav Jain, Douglas Burdick:
Simultaneous Optimisation of Image Quality Improvement and Text Content Extraction from Scanned Documents. ICDAR 2019: 1169-1174 - [c24]Louiqa Raschid, Douglas Burdick, Cesar de Pablo, Mark D. Flood, John Grant, Joe Langsam, Jay Pujara, Elena Tomas, Ian Soboroff:
Financial Entity Identification and Information Integration (FEIII) 2019 Challenge: The Report of the Organizing Committee. DSMM@SIGMOD 2019: 6:1-6:3 - [c23]Kun Qian, Douglas Burdick, Sairam Gurajada, Lucian Popa:
Learning Explainable Entity Resolution Algorithms for Small Business Data using SystemER. DSMM@SIGMOD 2019: 8:1-8:6 - [c22]Douglas Burdick, Rajasekar Krishnamurthy, Louiqa Raschid:
DSMM'19: The 5th Workshop on Data Science for Macro-modeling with Financial and Economic Datasets. SIGMOD Conference 2019: 2068-2069 - 2018
- [c21]Louiqa Raschid, Douglas Burdick, John Grant, Joe Langsam, Jay Pujara, Elizabeth Roman, Ian Soboroff, Mohammed J. Zaki, Elena Zotkina:
Financial Entity Identification and Information Integration (FEIII) 2018 Challenge: The Report of the Organizing Committee. DSMM@SIGMOD 2018: 9:1-9:3 - [c20]Min Li, Douglas Burdick, Rajasekar Krishnamurthy, Lucian Popa:
Defining and Capturing the Competitor Relationship across Financial Datasets. DSMM@SIGMOD 2018: 10:1-10:6 - 2017
- [c19]Douglas Burdick, Ronald Fagin, Phokion G. Kolaitis, Lucian Popa, Wang Chiew Tan:
Expressive Power of Entity-Linking Frameworks. ICDT 2017: 10:1-10:18 - [c18]Louiqa Raschid, Douglas Burdick, Mark D. Flood, John Grant, Joe Langsam, Ian Soboroff:
Financial Entity Identification and Information Integration (FEIII) 2017 Challenge: The Report of the Organizing Committee. DSMM@SIGMOD 2017: 1:1-1:4 - [c17]Chenguang Wang, Douglas Burdick, Laura Chiticariu, Rajasekar Krishnamurthy, Yunyao Li, Huaiyu Zhu:
Towards Re-defining Relation Understanding in Financial Domain. DSMM@SIGMOD 2017: 8:1-8:6 - 2016
- [j6]Douglas Burdick, Ronald Fagin, Phokion G. Kolaitis, Lucian Popa, Wang-Chiew Tan:
A Declarative Framework for Linking Entities. ACM Trans. Database Syst. 41(3): 17:1-17:38 (2016) - [c16]Douglas Burdick, Soham De, Louiqa Raschid, Mingchao Shao, Zheng Xu, Elena Zotkina:
resMBS: Constructing a Financial Supply Chain from Prospectus. DSMM@SIGMOD 2016: 7:1-7:6 - [c15]Douglas Burdick, Lucian Popa, Rajasekar Krishnamurthy:
Towards High-Precision and Reusable Entity Resolution Algorithms over Sparse Financial Datasets. DSMM@SIGMOD 2016: 18:1-18:4 - [i1]Zheng Xu, Douglas Burdick, Louiqa Raschid:
Exploiting Lists of Names for Named Entity Identification of Financial Institutions from Unstructured Documents. CoRR abs/1602.04427 (2016) - 2015
- [c14]Sebastian Schelter, Juan Soto, Volker Markl, Douglas Burdick, Berthold Reinwald, Alexandre V. Evfimievski:
Efficient sample generation for scalable meta learning. ICDE 2015: 1191-1202 - [c13]Douglas Burdick, Ronald Fagin, Phokion G. Kolaitis, Lucian Popa, Wang Chiew Tan:
A Declarative Framework for Linking Entities. ICDT 2015: 25-43 - 2014
- [j5]Matthias Böhm, Douglas R. Burdick, Alexandre V. Evfimievski, Berthold Reinwald, Frederick R. Reiss, Prithviraj Sen, Shirish Tatikonda, Yuanyuan Tian:
SystemML's Optimizer: Plan Generation for Large-Scale Machine Learning Programs. IEEE Data Eng. Bull. 37(3): 52-62 (2014) - [j4]Matthias Boehm, Shirish Tatikonda, Berthold Reinwald, Prithviraj Sen, Yuanyuan Tian, Douglas Burdick, Shivakumar Vaithyanathan:
Hybrid Parallelization Strategies for Large-Scale Machine Learning in SystemML. Proc. VLDB Endow. 7(7): 553-564 (2014) - [c12]Douglas Burdick, Alexandre V. Evfimievski, Rajasekar Krishnamurthy, Neal Lewis, Lucian Popa, Scott Rickards, Peter R. Williams:
Financial Analytics from Public Data. DSMM 2014: 4:1-4:6 - [c11]Douglas Burdick, Michael J. Franklin, Paulo Issler, Rajasekar Krishnamurthy, Lucian Popa, Louiqa Raschid, Richard Stanton, Nancy Wallace:
Data Science Challenges in Real Estate Asset and Capital Markets. DSMM 2014: 5:1-5:5 - 2013
- [c10]Bogdan Alexe, Douglas Burdick, Mauricio A. Hernández, Georgia Koutrika, Rajasekar Krishnamurthy, Lucian Popa, Ioana Stanoi, Ryan Wisnesky:
High-Level Rules for Integration and Analysis of Data: New Challenges. In Search of Elegance in the Theory and Practice of Computation 2013: 36-55 - [c9]Matthias Boehm, Douglas Burdick, Alexandre V. Evfimievski, Berthold Reinwald, Prithviraj Sen, Shirish Tatikonda, Yuanyuan Tian:
Compiling machine learning algorithms with SystemML. SoCC 2013: 57:1 - 2011
- [j3]Douglas Burdick, Mauricio A. Hernández, Howard Ho, Georgia Koutrika, Rajasekar Krishnamurthy, Lucian Popa, Ioana Stanoi, Shivakumar Vaithyanathan, Sanjiv R. Das:
Extracting, Linking and Integrating Data from Public Sources: A Financial Case Study. IEEE Data Eng. Bull. 34(3): 60-67 (2011) - 2010
- [c8]Len Seligman, Peter Mork, Alon Y. Halevy, Kenneth P. Smith, Michael J. Carey, Kuang Chen, Chris Wolf, Jayant Madhavan, Akshay Kannan, Doug Burdick:
OpenII: an open source information integration toolkit. SIGMOD Conference 2010: 1057-1060 - [c7]Kenneth P. Smith, Craig Bonaceto, Chris Wolf, Beth Yost, Michael Morse, Peter Mork, Doug Burdick:
Exploring schema similarity at multiple resolutions. SIGMOD Conference 2010: 1179-1182
2000 – 2009
- 2007
- [j2]Douglas Burdick, Prasad M. Deshpande, T. S. Jayram, Raghu Ramakrishnan, Shivakumar Vaithyanathan:
OLAP over uncertain and imprecise data. VLDB J. 16(1): 123-144 (2007) - [c6]Pedro DeRose, Warren Shen, Fei Chen, Yoonkyong Lee, Douglas Burdick, AnHai Doan, Raghu Ramakrishnan:
DBLife: A Community Information Management Platform for the Database Research Community (Demo). CIDR 2007: 169-172 - [c5]Douglas Burdick, AnHai Doan, Raghu Ramakrishnan, Shivakumar Vaithyanathan:
OLAP over Imprecise Data with Domain Constraints. VLDB 2007: 39-50 - 2006
- [c4]Douglas Burdick, Prasad M. Deshpande, T. S. Jayram, Raghu Ramakrishnan, Shivakumar Vaithyanathan:
Efficient Allocation Algorithms for OLAP Over Imprecise Data. VLDB 2006: 391-402 - 2005
- [j1]Douglas Burdick, Manuel Calimlim, Jason Flannick, Johannes Gehrke, Tomi Yiu:
MAFIA: A Maximal Frequent Itemset Algorithm. IEEE Trans. Knowl. Data Eng. 17(11): 1490-1504 (2005) - [c3]Douglas Burdick, Prasad Deshpande, T. S. Jayram, Raghu Ramakrishnan, Shivakumar Vaithyanathan:
OLAP Over Uncertain and Imprecise Data. VLDB 2005: 970-981 - 2003
- [c2]Douglas Burdick, Manuel Calimlim, Jason Flannick, Johannes Gehrke, Tomi Yiu:
MAFIA: A Performance Study of Mining Maximal Frequent Itemsets. FIMI 2003 - 2001
- [c1]Douglas Burdick, Manuel Calimlim, Johannes Gehrke:
MAFIA: A Maximal Frequent Itemset Algorithm for Transactional Databases. ICDE 2001: 443-452
Coauthor Index
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last updated on 2024-10-07 21:25 CEST by the dblp team
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