Structural text search and comparison using automatically extracted schema. - Michael N. Gubanov; Philip A. Bernstein (WebDB, 2006)

Simplifying Information Integration: Object-Based Flow-of-Mappings Framework for Integration. - Bogdan Alexe; Michael N. Gubanov; Mauricio A. Hernández; C. T. Howard Ho; Jen-Wei Huang; Yannis Katsis; Lucian Popa 001; Barna Saha; Ioana Stanoi (BIRTE, 2008)

Model Management Engine for Data Integration with Reverse-Engineering Support. - Michael N. Gubanov; Philip A. Bernstein; Alexander Moshchuk (ICDE, 2008)

IBM UFO Repository. - Michael N. Gubanov; Lucian Popa 001; C. T. Howard Ho; Hamid Pirahesh; Jeng-Yih Chang; Shr-Chang Chen (Proc. VLDB Endow., 2009)

Using unified famous objects (UFO) to automate Alzheimer's disease diagnostics. - Michael N. Gubanov; Linda G. Shapiro (BIBM Workshops, 2011)

READFAST: Browsing large documents through unified famous objects (UFO). - Michael N. Gubanov; Anna Pyayt; Linda G. Shapiro (IRI, 2011)

Learning Unified Famous Objects (UFO) to bootstrap information integration. - Michael N. Gubanov; Linda G. Shapiro; Anna Pyayt (IRI, 2011)

MEDREADFAST: A structural information retrieval engine for big clinical text. - Michael N. Gubanov; Anna Pyayt (IRI, 2012)

READFAST: high-relevance search-engine for big text. - Michael N. Gubanov; Anna Pyayt (CIKM, 2013)

A real-time classification algorithm for emotion detection using portable EEG. - Surya Cheemalapati; Michael N. Gubanov; Michael Del Vale; Anna Pyayt (IRI, 2013)

ReadFast: Optimizing structural search relevance for big biomedical text. - Michael N. Gubanov; Anna Pyayt (IRI, 2013)

BigDB: Automatic Machine Learning Optimizer - Anna Pyayt; Michael N. Gubanov (CoRR, 2013)

Large-scale Semantic Profile Extraction. - Michael N. Gubanov; Michael Stonebraker (EDBT, 2014)

Text and structured data fusion in data tamer at scale. - Michael N. Gubanov; Michael Stonebraker; Daniel Bruckner (ICDE, 2014)

Dataxformer: Leveraging the Web for Semantic Transformations. - Ziawasch Abedjan; John Morcos; Michael N. Gubanov; Ihab F. Ilyas; Michael Stonebraker; Paolo Papotti; Mourad Ouzzani (CIDR, 2015)

Type-aware Web-search. - Michael N. Gubanov; Anna Pyayt (EDBT, 2016)

mHealth dipstick analyzer for monitoring of pregnancy complications. - Karthik Raj Konnaiyan; Surya Cheemalapati; Anna Pyayt; Michael N. Gubanov (IEEE SENSORS, 2016)

Generating Unified Famous Objects (UFOs) from the classified object tables. - Anusha Kola; Harshal More; Sean Soderman; Michael N. Gubanov (IEEE BigData, 2017)

Hybrid.JSON: High-velocity parallel in-memory polystore JSON ingest. - Steven Ortiz; Caner Enbatan; Maksim Podkorytov; Dylan Soderman; Michael N. Gubanov (IEEE BigData, 2017)

Hybrid.media: High velocity video ingestion in an in-memory scalable analytical polystore. - Mark Simmons; Daniel Armstrong; Dylan Soderman; Michael N. Gubanov (IEEE BigData, 2017)

Scalable spam classifier for web tables. - Santiago Villasenor; Tom Nguyen; Anusha Kola; Sean Soderman; Michael N. Gubanov (IEEE BigData, 2017)

Hybrid: A Large-scale In-memory Image Analytics Engine. - Michael N. Gubanov (CIDR, 2017)

PolyFuse: A Large-Scale Hybrid Data Fusion System. - Michael N. Gubanov (ICDE, 2017)

Hybrid.poly: An Interactive Large-Scale In-memory Analytical Polystore. - Maksim Podkorytov; Dylan Soderman; Michael N. Gubanov (ICDM Workshops, 2017)

CognitiveDB: An Intelligent Navigator for Large-scale Dark Structured Data. - Michael N. Gubanov; Manju Priya; Maksim Podkorytov (WWW (Companion Volume), 2017)

Nested Dolls: Towards Unsupervised Clustering of Web Tables. - Rituparna Khan; Michael N. Gubanov (IEEE BigData, 2018)

Hybrid.Poly: Performance Evaluation of Linear Algebra Analytical Extensions. - Maksim Podkorytov; Michael N. Gubanov (IEEE BigData, 2018)

Hybrid.AI: A Learning Search Engine for Large-scale Structured Data. - Sean Soderman; Anusha Kola; Maksim Podkorytov; Michael Geyer; Michael N. Gubanov (WWW (Companion Volume), 2018)

Scalable Linear Algebra on a Relational Database System. - Shangyu Luo; Zekai J. Gao; Michael N. Gubanov; Luis Leopoldo Perez; Christopher M. Jermaine (SIGMOD Rec., 2018)

Hybrid.Poly: A Consolidated Interactive Analytical Polystore System. - Maksim Podkorytov; Michael N. Gubanov (ICDE, 2019)

Towards Tabular Embeddings, Training the Relational Models. - Rituparna Khan; Michael N. Gubanov (IEEE BigData, 2020)

WebLens: Towards Web-scale Data Integration, Training the Models. - Rituparna Khan; Michael N. Gubanov (IEEE BigData, 2020)

Rapid Antibiotic Susceptibility Analysis Using Microscopy and Machine Learning. - Anna Pyayt; Rituparna Khan; Robert Brzozowski; Prahathees Eswara; Michael N. Gubanov (IEEE BigData, 2020)

WebLens: Towards Interactive Large-scale Structured Data Profiling. - Rituparna Khan; Michael N. Gubanov (CIKM, 2020)

Scalable linear algebra on a relational database system. - Shangyu Luo; Zekai J. Gao; Michael N. Gubanov; Luis Leopoldo Perez; Dimitrije Jankov; Christopher M. Jermaine (Commun. ACM, 2020)

Learning Tabular Embeddings at Web Scale. - Sophie Pavia; Montasir Shams; Rituparna Khan; Anna Pyayt; Michael N. Gubanov (IEEE BigData, 2021)

Towards Unveiling Dark Web Structured Data. - Montasir Shams; Sophie Pavia; Rituparna Khan; Anna Pyayt; Michael N. Gubanov (IEEE BigData, 2021)

Scalable Tabular Metadata Location and Classification in Large-Scale Structured Datasets. - Kazi Islam 002; Michael N. Gubanov (DEXA (1), 2021)

Visualizing and Querying Large-scale Structured Datasets by Learning Multi-layered 3D Meta-Profiles. - Michael N. Gubanov; Anna Pyayt; Sophie Pavia (IEEE Big Data, 2022)

Leveraging Scalable Profiling to Learn and Visualize the Latest Trustworthy COVID-19 Medical Research Findings. - Michael N. Gubanov; Sophie Pavia; Anna Pyayt; William Goble (CIKM, 2022)

Simplifying Access to Large-scale Structured Datasets by Meta-Profiling with Scalable Training Set Enrichment. - Sophie Pavia; Rituparna Khan; Anna Pyayt; Michael N. Gubanov (SIGMOD Conference, 2022)

Hybrid Metadata Classification in Large-scale Structured Datasets. - Sophie Pavia; Nickolas Piraino; Kazi Islam 002; Anna Pyayt; Michael N. Gubanov (J. Data Intell., 2022)

Learning Circular Tabular Embeddings for Heterogeneous Large-scale Structured Datasets. - Michael N. Gubanov; Anna Pyayt; Sophie Pavia (DOLAP, 2023)

Scalable Hierarchical Metadata Classification in Heterogeneous Large-scale Datasets. - Bhimesh Kandibedala; Anna Pyayt; Chris Caballero; Michael N. Gubanov (DOLAP, 2023)

COVIDKG.ORG - a Web-scale COVID-19 Interactive, Trustworthy Knowledge Graph, Constructed and Interrogated for Bias using Deep-Learning. - Bhimesh Kandibedala; Anna Pyayt; Nickolas Piraino; Chris Caballero; Michael N. Gubanov (EDBT, 2023)

Learning Topical Structured Interfaces from Medical Research Literature. - Maitry Chauhan; Anna Pyayt; Michael N. Gubanov (WWW (Companion Volume), 2023)

CancerKG.ORG - A Web-scale, Interactive, Verifiable Knowledge Graph-LLM Hybrid for Assisting with Optimal Cancer Treatment and Care. - Michael N. Gubanov; Anna Pyayt; Aleksandra Karolak (CIKM, 2024)

Tabular Embeddings for Tables with Bi-Dimensional Hierarchical Metadata and Nesting. - Gyanendra Shrestha; Chutian Jiang; Sai Akula; Vivek Yannam; Anna Pyayt; Michael N. Gubanov (EDBT, 2025)

Tabular Embeddings for Tables with Bi-Dimensional Hierarchical Metadata and Nesting. - Gyanendra Shrestha; Chutain Jiang; Sai Akula; Vivek Yannam; Anna Pyayt; Michael N. Gubanov (CoRR, 2025)