Michael N. Gubanov

54 papers A* 6A 6B 5C 2Misc 5Journal 9Unranked 21

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	CONE: Embeddings for Complex Numerical Data Preserving Unit and Variable Semantics. CoRR Gyanendra Shrestha, Anna Pyayt, Michael N. Gubanov
2025	J	`jnl`	CancerKG.ORG A Web-scale, Interactive, Verifiable Knowledge Graph-LLM Hybrid for Assisting with Optimal Cancer Treatment and Care. CoRR Michael N. Gubanov, Anna Pyayt, Aleksandra Karolak
2025	A*	`conf`	Scalable Tabular Hierarchical Metadata Classification in Heterogeneous Structured Large-Scale Datasets Using Contrastive Learning. ICDE Bhimesh Kandibedala, Gyanendra Shrestha, Anna Pyayt, Todor Ivanov, Michael N. Gubanov
2025	B	`conf`	Tabular Embeddings for Tables with Bi-Dimensional Hierarchical Metadata and Nesting. EDBT Gyanendra Shrestha, Chutian Jiang, Sai Akula, Vivek Yannam, Anna Pyayt, Michael N. Gubanov
2025	J	`jnl`	Tabular Embeddings for Tables with Bi-Dimensional Hierarchical Metadata and Nesting. CoRR Gyanendra Shrestha, Chutain Jiang, Sai Akula, Vivek Yannam, Anna Pyayt, Michael N. Gubanov
2024	A	`conf`	CancerKG.ORG - A Web-scale, Interactive, Verifiable Knowledge Graph-LLM Hybrid for Assisting with Optimal Cancer Treatment and Care. CIKM Michael N. Gubanov, Anna Pyayt, Aleksandra Karolak
2023	B	`conf`	COVIDKG.ORG - a Web-scale COVID-19 Interactive, Trustworthy Knowledge Graph, Constructed and Interrogated for Bias using Deep-Learning. EDBT Bhimesh Kandibedala, Anna Pyayt, Nickolas Piraino, Chris Caballero, Michael N. Gubanov
2023	C	`conf`	Learning Circular Tabular Embeddings for Heterogeneous Large-scale Structured Datasets. DOLAP Michael N. Gubanov, Anna Pyayt, Sophie Pavia
2023	—	`conf`	Learning Topical Structured Interfaces from Medical Research Literature. WWW (Companion Volume) Maitry Chauhan, Anna Pyayt, Michael N. Gubanov
2023	C	`conf`	Scalable Hierarchical Metadata Classification in Heterogeneous Large-scale Datasets. DOLAP Bhimesh Kandibedala, Anna Pyayt, Chris Caballero, Michael N. Gubanov
2022	J	`jnl`	Hybrid Metadata Classification in Large-scale Structured Datasets. J. Data Intell. Sophie Pavia, Nickolas Piraino, Kazi Islam, Anna Pyayt, Michael N. Gubanov
2022	A	`conf`	Leveraging Scalable Profiling to Learn and Visualize the Latest Trustworthy COVID-19 Medical Research Findings. CIKM Michael N. Gubanov, Sophie Pavia, Anna Pyayt, William Goble
2022	—	`conf`	Simplifying Access to Large-scale Structured Datasets by Meta-Profiling with Scalable Training Set Enrichment. SIGMOD Conference Sophie Pavia, Rituparna Khan, Anna Pyayt, Michael N. Gubanov
2022	B	`conf`	Visualizing and Querying Large-scale Structured Datasets by Learning Multi-layered 3D Meta-Profiles. IEEE Big Data Michael N. Gubanov, Anna Pyayt, Sophie Pavia
2021	—	`conf`	Learning Tabular Embeddings at Web Scale. IEEE BigData Sophie Pavia, Montasir Shams, Rituparna Khan, Anna Pyayt, Michael N. Gubanov
2021	—	`conf`	Scalable Tabular Metadata Location and Classification in Large-Scale Structured Datasets. DEXA (1) Kazi Islam, Michael N. Gubanov
2021	—	`conf`	Towards Unveiling Dark Web Structured Data. IEEE BigData Montasir Shams, Sophie Pavia, Rituparna Khan, Anna Pyayt, Michael N. Gubanov
2020	—	`conf`	Rapid Antibiotic Susceptibility Analysis Using Microscopy and Machine Learning. IEEE BigData Anna Pyayt, Rituparna Khan, Robert Brzozowski, Prahathees Eswara, Michael N. Gubanov
2020	J	`jnl`	Scalable linear algebra on a relational database system. Commun. ACM Shangyu Luo, Zekai J. Gao, Michael N. Gubanov, Luis Leopoldo Perez, Dimitrije Jankov, Christopher M. Jermaine
2020	—	`conf`	Towards Tabular Embeddings, Training the Relational Models. IEEE BigData Rituparna Khan, Michael N. Gubanov
2020	A	`conf`	WebLens: Towards Interactive Large-scale Structured Data Profiling. CIKM Rituparna Khan, Michael N. Gubanov
2020	—	`conf`	WebLens: Towards Web-scale Data Integration, Training the Models. IEEE BigData Rituparna Khan, Michael N. Gubanov
2019	A*	`conf`	Hybrid.Poly: A Consolidated Interactive Analytical Polystore System. ICDE Maksim Podkorytov, Michael N. Gubanov
2019	J	`jnl`	Scalable Linear Algebra on a Relational Database System. IEEE Trans. Knowl. Data Eng. Shangyu Luo, Zekai J. Gao, Michael N. Gubanov, Luis Leopoldo Perez, Christopher M. Jermaine
2018	—	`conf`	Hybrid.AI: A Learning Search Engine for Large-scale Structured Data. WWW (Companion Volume) Sean Soderman, Anusha Kola, Maksim Podkorytov, Michael Geyer, Michael N. Gubanov
2018	—	`conf`	Hybrid.Poly: Performance Evaluation of Linear Algebra Analytical Extensions. IEEE BigData Maksim Podkorytov, Michael N. Gubanov
2018	—	`conf`	Nested Dolls: Towards Unsupervised Clustering of Web Tables. IEEE BigData Rituparna Khan, Michael N. Gubanov
2018	J	`jnl`	Scalable Linear Algebra on a Relational Database System. SIGMOD Rec. Shangyu Luo, Zekai J. Gao, Michael N. Gubanov, Luis Leopoldo Perez, Christopher M. Jermaine
2017	—	`conf`	CognitiveDB: An Intelligent Navigator for Large-scale Dark Structured Data. WWW (Companion Volume) Michael N. Gubanov, Manju Priya, Maksim Podkorytov
2017	—	`conf`	Generating Unified Famous Objects (UFOs) from the classified object tables. IEEE BigData Anusha Kola, Harshal More, Sean Soderman, Michael N. Gubanov
2017	—	`conf`	Hybrid.JSON: High-velocity parallel in-memory polystore JSON ingest. IEEE BigData Steven Ortiz, Caner Enbatan, Maksim Podkorytov, Dylan Soderman, Michael N. Gubanov
2017	—	`conf`	Hybrid.media: High velocity video ingestion in an in-memory scalable analytical polystore. IEEE BigData Mark Simmons, Daniel Armstrong, Dylan Soderman, Michael N. Gubanov
2017	—	`conf`	Hybrid.poly: An Interactive Large-Scale In-memory Analytical Polystore. ICDM Workshops Maksim Podkorytov, Dylan Soderman, Michael N. Gubanov
2017	A	`conf`	Hybrid: A Large-scale In-memory Image Analytics Engine. CIDR Michael N. Gubanov
2017	A*	`conf`	PolyFuse: A Large-Scale Hybrid Data Fusion System. ICDE Michael N. Gubanov
2017	A*	`conf`	Scalable Linear Algebra on a Relational Database System. ICDE Shangyu Luo, Zekai J. Gao, Michael N. Gubanov, Luis Leopoldo Perez, Christopher M. Jermaine
2017	—	`conf`	Scalable spam classifier for web tables. IEEE BigData Santiago Villasenor, Tom Nguyen, Anusha Kola, Sean Soderman, Michael N. Gubanov
2016	B	`conf`	Type-aware Web-search. EDBT Michael N. Gubanov, Anna Pyayt
2016	—	`conf`	mHealth dipstick analyzer for monitoring of pregnancy complications. IEEE SENSORS Karthik Raj Konnaiyan, Surya Cheemalapati, Anna Pyayt, Michael N. Gubanov
2015	A	`conf`	Dataxformer: Leveraging the Web for Semantic Transformations. CIDR Ziawasch Abedjan, John Morcos, Michael N. Gubanov, Ihab F. Ilyas, Michael Stonebraker, Paolo Papotti, Mourad Ouzzani
2014	B	`conf`	Large-scale Semantic Profile Extraction. EDBT Michael N. Gubanov, Michael Stonebraker
2014	A*	`conf`	Text and structured data fusion in data tamer at scale. ICDE Michael N. Gubanov, Michael Stonebraker, Daniel Bruckner
2013	Misc	`conf`	A real-time classification algorithm for emotion detection using portable EEG. IRI Surya Cheemalapati, Michael N. Gubanov, Michael Del Vale, Anna Pyayt
2013	J	`jnl`	BigDB: Automatic Machine Learning Optimizer CoRR Anna Pyayt, Michael N. Gubanov
2013	A	`conf`	READFAST: high-relevance search-engine for big text. CIKM Michael N. Gubanov, Anna Pyayt
2013	Misc	`conf`	ReadFast: Optimizing structural search relevance for big biomedical text. IRI Michael N. Gubanov, Anna Pyayt
2012	Misc	`conf`	MEDREADFAST: A structural information retrieval engine for big clinical text. IRI Michael N. Gubanov, Anna Pyayt
2011	Misc	`conf`	Learning Unified Famous Objects (UFO) to bootstrap information integration. IRI Michael N. Gubanov, Linda G. Shapiro, Anna Pyayt
2011	Misc	`conf`	READFAST: Browsing large documents through unified famous objects (UFO). IRI Michael N. Gubanov, Anna Pyayt, Linda G. Shapiro
2011	—	`conf`	Using unified famous objects (UFO) to automate Alzheimer's disease diagnostics. BIBM Workshops Michael N. Gubanov, Linda G. Shapiro
2009	J	`jnl`	IBM UFO Repository. Proc. VLDB Endow. Michael N. Gubanov, Lucian Popa, C. T. Howard Ho, Hamid Pirahesh, Jeng-Yih Chang, Shr-Chang Chen
2008	A*	`conf`	Model Management Engine for Data Integration with Reverse-Engineering Support. ICDE Michael N. Gubanov, Philip A. Bernstein, Alexander Moshchuk
2008	—	`conf`	Simplifying Information Integration: Object-Based Flow-of-Mappings Framework for Integration. BIRTE Bogdan Alexe, Michael N. Gubanov, Mauricio A. Hernández, C. T. Howard Ho, Jen-Wei Huang, Yannis Katsis, Lucian Popa, Barna Saha, Ioana Stanoi
2006	—	`conf`	Structural text search and comparison using automatically extracted schema. WebDB Michael N. Gubanov, Philip A. Bernstein