Michael N. Gubanov

Publication Activity (10 Years)

Years Active: 2006-2025
Publications (10 Years): 34

Top Topics

Unsupervised Clustering

Relational Models

Structured Data

Top Venues

WWW (Companion Volume)

Publications

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)
Maitry Chauhan, Anna Pyayt, Michael N. Gubanov
Learning Topical Structured Interfaces from Medical Research Literature. WWW (Companion Volume) (2023)
Michael N. Gubanov, Anna Pyayt, Sophie Pavia
Learning Circular Tabular Embeddings for Heterogeneous Large-scale Structured Datasets. DOLAP (2023)
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)
Bhimesh Kandibedala, Anna Pyayt, Chris Caballero, Michael N. Gubanov
Scalable Hierarchical Metadata Classification in Heterogeneous Large-scale Datasets. DOLAP (2023)
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)
Michael N. Gubanov, Anna Pyayt, Sophie Pavia
Visualizing and Querying Large-scale Structured Datasets by Learning Multi-layered 3D Meta-Profiles. Big Data (2022)
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)
Sophie Pavia, Nick Piraino, Kazi Islam, Anna Pyayt, Michael N. Gubanov
Hybrid Metadata Classification in Large-scale Structured Datasets. J. Data Intell. 3 (4) (2022)
Montasir Shams, Sophie Pavia, Rituparna Khan, Anna Pyayt, Michael N. Gubanov
Towards Unveiling Dark Web Structured Data. IEEE BigData (2021)
Sophie Pavia, Montasir Shams, Rituparna Khan, Anna Pyayt, Michael N. Gubanov
Learning Tabular Embeddings at Web Scale. IEEE BigData (2021)
Kazi Islam, Michael N. Gubanov
Scalable Tabular Metadata Location and Classification in Large-Scale Structured Datasets. DEXA (1) (2021)
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) (2020)
Anna Pyayt, Rituparna Khan, Robert Brzozowski, Prahathees Eswara, Michael N. Gubanov
Rapid Antibiotic Susceptibility Analysis Using Microscopy and Machine Learning. IEEE BigData (2020)
Rituparna Khan, Michael N. Gubanov
WebLens: Towards Interactive Large-scale Structured Data Profiling. CIKM (2020)
Rituparna Khan, Michael N. Gubanov
WebLens: Towards Web-scale Data Integration, Training the Models. IEEE BigData (2020)
Rituparna Khan, Michael N. Gubanov
Towards Tabular Embeddings, Training the Relational Models. IEEE BigData (2020)
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) (2019)
Maksim Podkorytov, Michael N. Gubanov
Hybrid.Poly: A Consolidated Interactive Analytical Polystore System. ICDE (2019)
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) (2018)
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)
Rituparna Khan, Michael N. Gubanov
Nested Dolls: Towards Unsupervised Clustering of Web Tables. IEEE BigData (2018)
Maksim Podkorytov, Michael N. Gubanov
Hybrid.Poly: Performance Evaluation of Linear Algebra Analytical Extensions. IEEE BigData (2018)
Michael N. Gubanov, Manju Priya, Maksim Podkorytov
CognitiveDB: An Intelligent Navigator for Large-scale Dark Structured Data. WWW (Companion Volume) (2017)
Anusha Kola, Harshal More, Sean Soderman, Michael N. Gubanov
Generating Unified Famous Objects (UFOs) from the classified object tables. IEEE BigData (2017)
Michael N. Gubanov
Hybrid: A Large-scale In-memory Image Analytics Engine. CIDR (2017)
Maksim Podkorytov, Dylan Soderman, Michael N. Gubanov
Hybrid.poly: An Interactive Large-Scale In-memory Analytical Polystore. ICDM Workshops (2017)
Shangyu Luo, Zekai J. Gao, Michael N. Gubanov, Luis Leopoldo Perez, Christopher M. Jermaine
Scalable Linear Algebra on a Relational Database System. ICDE (2017)
Steven Ortiz, Caner Enbatan, Maksim Podkorytov, Dylan Soderman, Michael N. Gubanov
Hybrid.JSON: High-velocity parallel in-memory polystore JSON ingest. IEEE BigData (2017)
Michael N. Gubanov
PolyFuse: A Large-Scale Hybrid Data Fusion System. ICDE (2017)
Santiago Villasenor, Tom Nguyen, Anusha Kola, Sean Soderman, Michael N. Gubanov
Scalable spam classifier for web tables. IEEE BigData (2017)
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)
Michael N. Gubanov, Anna Pyayt
Type-aware Web-search. EDBT (2016)
Karthik Raj Konnaiyan, Surya Cheemalapati, Anna Pyayt, Michael N. Gubanov
mHealth dipstick analyzer for monitoring of pregnancy complications. IEEE SENSORS (2016)
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)
Michael N. Gubanov, Michael Stonebraker, Daniel Bruckner
Text and structured data fusion in data tamer at scale. ICDE (2014)
Michael N. Gubanov, Michael Stonebraker
Large-scale Semantic Profile Extraction. EDBT (2014)
Michael N. Gubanov, Anna Pyayt
READFAST: high-relevance search-engine for big text. CIKM (2013)
Anna Pyayt, Michael N. Gubanov
BigDB: Automatic Machine Learning Optimizer CoRR (2013)
Surya Cheemalapati, Michael N. Gubanov, Michael Del Vale, Anna Pyayt
A real-time classification algorithm for emotion detection using portable EEG. IRI (2013)
Michael N. Gubanov, Anna Pyayt
ReadFast: Optimizing structural search relevance for big biomedical text. IRI (2013)
Michael N. Gubanov, Anna Pyayt
MEDREADFAST: A structural information retrieval engine for big clinical text. IRI (2012)
Michael N. Gubanov, Anna Pyayt, Linda G. Shapiro
READFAST: Browsing large documents through unified famous objects (UFO). IRI (2011)
Michael N. Gubanov, Linda G. Shapiro, Anna Pyayt
Learning Unified Famous Objects (UFO) to bootstrap information integration. IRI (2011)
Michael N. Gubanov, Linda G. Shapiro
Using unified famous objects (UFO) to automate Alzheimer's disease diagnostics. BIBM Workshops (2011)
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) (2009)
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)
Michael N. Gubanov, Philip A. Bernstein, Alexander Moshchuk
Model Management Engine for Data Integration with Reverse-Engineering Support. ICDE (2008)
Michael N. Gubanov, Philip A. Bernstein
Structural text search and comparison using automatically extracted schema. WebDB (2006)