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)

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)

Tactile Visualization and 3D Printing for Education. - Howard Kaplan; Anna Pyayt (Encyclopedia of Computer Graphics and Games, 2019)

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

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)

Understanding Diffusion in a Single-Metal Organic Framework Crystal Used for Sensing Applications. - Surya Cheemalapati; Karthik Raj Konnaiyan; Yao Chen; Shengqian Ma; Anna Pyayt (Sensors, 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)