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Michael N. Gubanov
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- affiliation: University of Texas at San Antonio
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2020 – today
- 2025
- [c43]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]Bhimesh Kandibedala, Anna Pyayt, Chris Caballero, Michael N. Gubanov:
Scalable Hierarchical Metadata Classification in Heterogeneous Large-scale Datasets. DOLAP 2023: 81-85 - [c41]Michael N. Gubanov, Anna Pyayt, Sophie Pavia:
Learning Circular Tabular Embeddings for Heterogeneous Large-scale Structured Datasets. DOLAP 2023: 86-90 - [c40]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]Maitry Chauhan
, Anna Pyayt
, Michael N. Gubanov
:
Learning Topical Structured Interfaces from Medical Research Literature. WWW (Companion Volume) 2023: 225-228 - 2022
- [j5]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]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]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]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]Sophie Pavia
, Montasir Shams, Rituparna Khan, Anna Pyayt
, Michael N. Gubanov:
Learning Tabular Embeddings at Web Scale. IEEE BigData 2021: 4936-4944 - [c34]Montasir Shams, Sophie Pavia
, Rituparna Khan, Anna Pyayt
, Michael N. Gubanov:
Towards Unveiling Dark Web Structured Data. IEEE BigData 2021: 5275-5282 - [c33]Kazi Islam, Michael N. Gubanov:
Scalable Tabular Metadata Location and Classification in Large-Scale Structured Datasets. DEXA (1) 2021: 35-50 - 2020
- [j4]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]Rituparna Khan, Michael N. Gubanov:
Towards Tabular Embeddings, Training the Relational Models. IEEE BigData 2020: 5724-5726 - [c31]Rituparna Khan, Michael N. Gubanov:
WebLens: Towards Web-scale Data Integration, Training the Models. IEEE BigData 2020: 5727-5729 - [c30]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]Rituparna Khan, Michael N. Gubanov:
WebLens: Towards Interactive Large-scale Structured Data Profiling. CIKM 2020: 3425-3428
2010 – 2019
- 2019
- [j3]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]Maksim Podkorytov
, Michael N. Gubanov:
Hybrid.Poly: A Consolidated Interactive Analytical Polystore System. ICDE 2019: 1996-1999 - 2018
- [j2]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]Rituparna Khan, Michael N. Gubanov:
Nested Dolls: Towards Unsupervised Clustering of Web Tables. IEEE BigData 2018: 5357-5359 - [c26]Maksim Podkorytov
, Michael N. Gubanov:
Hybrid.Poly: Performance Evaluation of Linear Algebra Analytical Extensions. IEEE BigData 2018: 5430-5432 - [c25]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]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]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]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]Santiago Villasenor, Tom Nguyen, Anusha Kola, Sean Soderman, Michael N. Gubanov:
Scalable spam classifier for web tables. IEEE BigData 2017: 4849-4851 - [c20]Michael N. Gubanov:
Hybrid: A Large-scale In-memory Image Analytics Engine. CIDR 2017 - [c19]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]Michael N. Gubanov:
PolyFuse: A Large-Scale Hybrid Data Fusion System. ICDE 2017: 1575-1578 - [c17]Maksim Podkorytov
, Dylan Soderman, Michael N. Gubanov:
Hybrid.poly: An Interactive Large-Scale In-memory Analytical Polystore. ICDM Workshops 2017: 43-50 - [c16]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]Michael N. Gubanov, Anna Pyayt
:
Type-aware Web-search. EDBT 2016: 656-657 - [c14]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]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]Michael N. Gubanov, Michael Stonebraker:
Large-scale Semantic Profile Extraction. EDBT 2014: 644-647 - [c11]Michael N. Gubanov, Michael Stonebraker, Daniel Bruckner:
Text and structured data fusion in data tamer at scale. ICDE 2014: 1258-1261 - 2013
- [c10]Michael N. Gubanov, Anna Pyayt
:
READFAST: high-relevance search-engine for big text. CIKM 2013: 2465-2468 - [c9]Michael N. Gubanov, Anna Pyayt
:
ReadFast: Optimizing structural search relevance for big biomedical text. IRI 2013: 717-719 - [c8]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]Anna Pyayt, Michael N. Gubanov:
BigDB: Automatic Machine Learning Optimizer. CoRR abs/1301.1575 (2013) - 2012
- [c7]Michael N. Gubanov, Anna Pyayt
:
MEDREADFAST: A structural information retrieval engine for big clinical text. IRI 2012: 371-376 - 2011
- [c6]Michael N. Gubanov, Linda G. Shapiro:
Using unified famous objects (UFO) to automate Alzheimer's disease diagnostics. BIBM Workshops 2011: 901-903 - [c5]Michael N. Gubanov, Linda G. Shapiro, Anna Pyayt
:
Learning Unified Famous Objects (UFO) to bootstrap information integration. IRI 2011: 177-180 - [c4]Michael N. Gubanov, Anna Pyayt
, Linda G. Shapiro:
READFAST: Browsing large documents through unified famous objects (UFO). IRI 2011: 321-326
2000 – 2009
- 2009
- [j1]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
- [c3]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 - [c2]Michael N. Gubanov, Philip A. Bernstein, Alexander Moshchuk:
Model Management Engine for Data Integration with Reverse-Engineering Support. ICDE 2008: 1319-1321 - 2006
- [c1]Michael N. Gubanov, Philip A. Bernstein:
Structural text search and comparison using automatically extracted schema. WebDB 2006
Coauthor Index
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last updated on 2024-07-15 00:12 CEST by the dblp team
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