Anna Pyayt

According to our database, Anna Pyayt authored at least 21 papers between 2011 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Learning Topical Structured Interfaces from Medical Research Literature.

Maitry Chauhan, Anna Pyayt, Michael N. Gubanov

Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 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

Proceedings of the Proceedings 26th International Conference on Extending Database Technology, 2023

Scalable Hierarchical Metadata Classification in Heterogeneous Large-scale Datasets.

Bhimesh Kandibedala, Anna Pyayt, Chris Caballero, Michael N. Gubanov

Proceedings of the 25th International Workshop on Design, 2023

Learning Circular Tabular Embeddings for Heterogeneous Large-scale Structured Datasets.

Michael N. Gubanov, Anna Pyayt, Sophie Pavia

Proceedings of the 25th International Workshop on Design, 2023

2022

Hybrid Metadata Classification in Large-scale Structured Datasets.

Sophie Pavia, Nickolas Piraino, Kazi Islam, Anna Pyayt, Michael N. Gubanov

J. Data Intell., 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

Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 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

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Visualizing and Querying Large-scale Structured Datasets by Learning Multi-layered 3D Meta-Profiles.

Michael N. Gubanov, Anna Pyayt, Sophie Pavia

Proceedings of the IEEE International Conference on Big Data, 2022

2021

Towards Unveiling Dark Web Structured Data.

Montasir Shams, Sophie Pavia, Rituparna Khan, Anna Pyayt, Michael N. Gubanov

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

Learning Tabular Embeddings at Web Scale.

Sophie Pavia, Montasir Shams, Rituparna Khan, Anna Pyayt, Michael N. Gubanov

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020

Rapid Antibiotic Susceptibility Analysis Using Microscopy and Machine Learning.

Anna Pyayt, Rituparna Khan, Robert Brzozowski, Prahathees Eswara, Michael N. Gubanov

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019

Tactile Visualization and 3D Printing for Education.

Howard Kaplan, Anna Pyayt

Proceedings of the Encyclopedia of Computer Graphics and Games., 2019

2016

mHealth dipstick analyzer for monitoring of pregnancy complications.

Karthik Raj Konnaiyan, Surya Cheemalapati, Anna Pyayt, Michael N. Gubanov

Proceedings of the 2016 IEEE SENSORS, Orlando, FL, USA, October 30 - November 3, 2016, 2016

Type-aware Web-search.

Michael N. Gubanov, Anna Pyayt

Proceedings of the 19th International Conference on Extending Database Technology, 2016

2013

BigDB: Automatic Machine Learning Optimizer

Anna Pyayt, Michael N. Gubanov

CoRR, 2013

ReadFast: Optimizing structural search relevance for big biomedical text.

Michael N. Gubanov, Anna Pyayt

Proceedings of the IEEE 14th International Conference on Information Reuse & Integration, 2013

A real-time classification algorithm for emotion detection using portable EEG.

Surya Cheemalapati, Michael N. Gubanov, Michael Del Vale, Anna Pyayt

Proceedings of the IEEE 14th International Conference on Information Reuse & Integration, 2013

READFAST: high-relevance search-engine for big text.

Michael N. Gubanov, Anna Pyayt

Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

2012

MEDREADFAST: A structural information retrieval engine for big clinical text.

Michael N. Gubanov, Anna Pyayt

Proceedings of the IEEE 13th International Conference on Information Reuse & Integration, 2012

2011

Learning Unified Famous Objects (UFO) to bootstrap information integration.

Michael N. Gubanov, Linda G. Shapiro, Anna Pyayt

Proceedings of the IEEE International Conference on Information Reuse and Integration, 2011

READFAST: Browsing large documents through unified famous objects (UFO).

Michael N. Gubanov, Anna Pyayt, Linda G. Shapiro

Proceedings of the IEEE International Conference on Information Reuse and Integration, 2011