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Michael N. Gubanov

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affiliation: University of Texas at San Antonio

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2020 – today

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2025
[c43]
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Gyanendra Shrestha, Chutian Jiang, Sai Akula, Vivek Yannam, Anna Pyayt, Michael N. Gubanov:
Tabular Embeddings for Tables with Bi-Dimensional Hierarchical Metadata and Nesting. EDBT 2025: 92-105
2023
[c42]
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Bhimesh Kandibedala, Anna Pyayt, Chris Caballero, Michael N. Gubanov:
Scalable Hierarchical Metadata Classification in Heterogeneous Large-scale Datasets. DOLAP 2023: 81-85
[c41]
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Michael N. Gubanov, Anna Pyayt, Sophie Pavia:
Learning Circular Tabular Embeddings for Heterogeneous Large-scale Structured Datasets. DOLAP 2023: 86-90
[c40]
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Bhimesh Kandibedala, Anna Pyayt, Nickolas Piraino, Chris Caballero, Michael N. Gubanov:
COVIDKG.ORG - a Web-scale COVID-19 Interactive, Trustworthy Knowledge Graph, Constructed and Interrogated for Bias using Deep-Learning. EDBT 2023: 757-764
[c39]
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Maitry Chauhan, Anna Pyayt, Michael N. Gubanov:
Learning Topical Structured Interfaces from Medical Research Literature. WWW (Companion Volume) 2023: 225-228
2022
[j5]
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Sophie Pavia, Nickolas Piraino, Kazi Islam, Anna Pyayt, Michael N. Gubanov:
Hybrid Metadata Classification in Large-scale Structured Datasets. J. Data Intell. 3(4): 460-473 (2022)
[c38]
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Michael N. Gubanov, Anna Pyayt, Sophie Pavia:
Visualizing and Querying Large-scale Structured Datasets by Learning Multi-layered 3D Meta-Profiles. IEEE Big Data 2022: 734-739
[c37]
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Michael N. Gubanov, Sophie Pavia, Anna Pyayt, William Goble:
Leveraging Scalable Profiling to Learn and Visualize the Latest Trustworthy COVID-19 Medical Research Findings. CIKM 2022: 4857-4861
[c36]
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Sophie Pavia, Rituparna Khan, Anna Pyayt, Michael N. Gubanov:
Simplifying Access to Large-scale Structured Datasets by Meta-Profiling with Scalable Training Set Enrichment. SIGMOD Conference 2022: 2377-2380
2021
[c35]
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Sophie Pavia, Montasir Shams, Rituparna Khan, Anna Pyayt, Michael N. Gubanov:
Learning Tabular Embeddings at Web Scale. IEEE BigData 2021: 4936-4944
[c34]
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Montasir Shams, Sophie Pavia, Rituparna Khan, Anna Pyayt, Michael N. Gubanov:
Towards Unveiling Dark Web Structured Data. IEEE BigData 2021: 5275-5282
[c33]
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Kazi Islam, Michael N. Gubanov:
Scalable Tabular Metadata Location and Classification in Large-Scale Structured Datasets. DEXA (1) 2021: 35-50
2020
[j4]
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Shangyu Luo, Zekai J. Gao, Michael N. Gubanov, Luis Leopoldo Perez, Dimitrije Jankov, Christopher M. Jermaine:
Scalable linear algebra on a relational database system. Commun. ACM 63(8): 93-101 (2020)
[c32]
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Rituparna Khan, Michael N. Gubanov:
Towards Tabular Embeddings, Training the Relational Models. IEEE BigData 2020: 5724-5726
[c31]
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Rituparna Khan, Michael N. Gubanov:
WebLens: Towards Web-scale Data Integration, Training the Models. IEEE BigData 2020: 5727-5729
[c30]
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Anna Pyayt, Rituparna Khan, Robert Brzozowski, Prahathees Eswara, Michael N. Gubanov:
Rapid Antibiotic Susceptibility Analysis Using Microscopy and Machine Learning. IEEE BigData 2020: 5804-5806
[c29]
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Rituparna Khan, Michael N. Gubanov:
WebLens: Towards Interactive Large-scale Structured Data Profiling. CIKM 2020: 3425-3428

2010 – 2019

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2019
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Shangyu Luo, Zekai J. Gao, Michael N. Gubanov, Luis Leopoldo Perez, Christopher M. Jermaine:
Scalable Linear Algebra on a Relational Database System. IEEE Trans. Knowl. Data Eng. 31(7): 1224-1238 (2019)
[c28]
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Maksim Podkorytov, Michael N. Gubanov:
Hybrid.Poly: A Consolidated Interactive Analytical Polystore System. ICDE 2019: 1996-1999
2018
[j2]
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Shangyu Luo, Zekai J. Gao, Michael N. Gubanov, Luis Leopoldo Perez, Christopher M. Jermaine:
Scalable Linear Algebra on a Relational Database System. SIGMOD Rec. 47(1): 24-31 (2018)
[c27]
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Rituparna Khan, Michael N. Gubanov:
Nested Dolls: Towards Unsupervised Clustering of Web Tables. IEEE BigData 2018: 5357-5359
[c26]
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Maksim Podkorytov, Michael N. Gubanov:
Hybrid.Poly: Performance Evaluation of Linear Algebra Analytical Extensions. IEEE BigData 2018: 5430-5432
[c25]
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Sean Soderman, Anusha Kola, Maksim Podkorytov, Michael Geyer, Michael N. Gubanov:
Hybrid.AI: A Learning Search Engine for Large-scale Structured Data. WWW (Companion Volume) 2018: 1507-1514
2017
[c24]
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Anusha Kola, Harshal More, Sean Soderman, Michael N. Gubanov:
Generating Unified Famous Objects (UFOs) from the classified object tables. IEEE BigData 2017: 4771-4773
[c23]
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Steven Ortiz, Caner Enbatan, Maksim Podkorytov, Dylan Soderman, Michael N. Gubanov:
Hybrid.JSON: High-velocity parallel in-memory polystore JSON ingest. IEEE BigData 2017: 4807-4809
[c22]
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Mark Simmons, Daniel Armstrong, Dylan Soderman, Michael N. Gubanov:
Hybrid.media: High velocity video ingestion in an in-memory scalable analytical polystore. IEEE BigData 2017: 4832-4834
[c21]
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Santiago Villasenor, Tom Nguyen, Anusha Kola, Sean Soderman, Michael N. Gubanov:
Scalable spam classifier for web tables. IEEE BigData 2017: 4849-4851
[c20]
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Michael N. Gubanov:
Hybrid: A Large-scale In-memory Image Analytics Engine. CIDR 2017
[c19]
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Shangyu Luo, Zekai J. Gao, Michael N. Gubanov, Luis Leopoldo Perez, Christopher M. Jermaine:
Scalable Linear Algebra on a Relational Database System. ICDE 2017: 523-534
[c18]
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Michael N. Gubanov:
PolyFuse: A Large-Scale Hybrid Data Fusion System. ICDE 2017: 1575-1578
[c17]
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Maksim Podkorytov, Dylan Soderman, Michael N. Gubanov:
Hybrid.poly: An Interactive Large-Scale In-memory Analytical Polystore. ICDM Workshops 2017: 43-50
[c16]
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Michael N. Gubanov, Manju Priya, Maksim Podkorytov:
CognitiveDB: An Intelligent Navigator for Large-scale Dark Structured Data. WWW (Companion Volume) 2017: 207-211
2016
[c15]
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Michael N. Gubanov, Anna Pyayt:
Type-aware Web-search. EDBT 2016: 656-657
[c14]
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Karthik Raj Konnaiyan, Surya Cheemalapati, Anna Pyayt, Michael N. Gubanov:
mHealth dipstick analyzer for monitoring of pregnancy complications. IEEE SENSORS 2016: 1-3
2015
[c13]
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Ziawasch Abedjan, John Morcos, Michael N. Gubanov, Ihab F. Ilyas, Michael Stonebraker, Paolo Papotti, Mourad Ouzzani:
Dataxformer: Leveraging the Web for Semantic Transformations. CIDR 2015
2014
[c12]
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Michael N. Gubanov, Michael Stonebraker:
Large-scale Semantic Profile Extraction. EDBT 2014: 644-647
[c11]
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Michael N. Gubanov, Michael Stonebraker, Daniel Bruckner:
Text and structured data fusion in data tamer at scale. ICDE 2014: 1258-1261
2013
[c10]
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Michael N. Gubanov, Anna Pyayt:
READFAST: high-relevance search-engine for big text. CIKM 2013: 2465-2468
[c9]
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Michael N. Gubanov, Anna Pyayt:
ReadFast: Optimizing structural search relevance for big biomedical text. IRI 2013: 717-719
[c8]
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  - conf/iri/CheemalapatiGVP13
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Surya Cheemalapati, Michael N. Gubanov, Michael Del Vale, Anna Pyayt:
A real-time classification algorithm for emotion detection using portable EEG. IRI 2013: 720-723
[i1]
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Anna Pyayt, Michael N. Gubanov:
BigDB: Automatic Machine Learning Optimizer. CoRR abs/1301.1575 (2013)
2012
[c7]
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Michael N. Gubanov, Anna Pyayt:
MEDREADFAST: A structural information retrieval engine for big clinical text. IRI 2012: 371-376
2011
[c6]
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Michael N. Gubanov, Linda G. Shapiro:
Using unified famous objects (UFO) to automate Alzheimer's disease diagnostics. BIBM Workshops 2011: 901-903
[c5]
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Michael N. Gubanov, Linda G. Shapiro, Anna Pyayt:
Learning Unified Famous Objects (UFO) to bootstrap information integration. IRI 2011: 177-180
[c4]
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Michael N. Gubanov, Anna Pyayt, Linda G. Shapiro:
READFAST: Browsing large documents through unified famous objects (UFO). IRI 2011: 321-326

2000 – 2009

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2009
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Michael N. Gubanov, Lucian Popa, C. T. Howard Ho, Hamid Pirahesh, Jeng-Yih Chang, Shr-Chang Chen:
IBM UFO Repository. Proc. VLDB Endow. 2(2): 1598-1601 (2009)
2008
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Bogdan Alexe, Michael N. Gubanov, Mauricio A. Hernández, C. T. Howard Ho, Jen-Wei Huang, Yannis Katsis, Lucian Popa, Barna Saha, Ioana Stanoi:
Simplifying Information Integration: Object-Based Flow-of-Mappings Framework for Integration. BIRTE 2008: 108-121
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Michael N. Gubanov, Philip A. Bernstein, Alexander Moshchuk:
Model Management Engine for Data Integration with Reverse-Engineering Support. ICDE 2008: 1319-1321
2006
[c1]
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Michael N. Gubanov, Philip A. Bernstein:
Structural text search and comparison using automatically extracted schema. WebDB 2006

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