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Anna Pyayt

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2020 – today

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2025
[c20]
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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: 92-105
2024
[j2]
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Surya Cheemalapati, Karthik Raj Konnaiyan, Yao Chen, Shengqian Ma, Anna Pyayt:
Understanding Diffusion in a Single-Metal Organic Framework Crystal Used for Sensing Applications. Sensors 24(12): 3842 (2024)
[c19]
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Michael N. Gubanov, Anna Pyayt, Aleksandra Karolak:
CancerKG.ORG - A Web-scale, Interactive, Verifiable Knowledge Graph-LLM Hybrid for Assisting with Optimal Cancer Treatment and Care. CIKM 2024: 4497-4505
2023
[c18]
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Bhimesh Kandibedala, Anna Pyayt, Chris Caballero, Michael N. Gubanov:
Scalable Hierarchical Metadata Classification in Heterogeneous Large-scale Datasets. DOLAP 2023: 81-85
[c17]
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Michael N. Gubanov, Anna Pyayt, Sophie Pavia:
Learning Circular Tabular Embeddings for Heterogeneous Large-scale Structured Datasets. DOLAP 2023: 86-90
[c16]
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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: 757-764
[c15]
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Maitry Chauhan, Anna Pyayt, Michael N. Gubanov:
Learning Topical Structured Interfaces from Medical Research Literature. WWW (Companion Volume) 2023: 225-228
2022
[j1]
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  - journals/rpjdi/PaviaPIPG22
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Sophie Pavia, Nickolas Piraino, Kazi Islam, Anna Pyayt, Michael N. Gubanov:
Hybrid Metadata Classification in Large-scale Structured Datasets. J. Data Intell. 3(4): 460-473 (2022)
[c14]
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Michael N. Gubanov, Anna Pyayt, Sophie Pavia:
Visualizing and Querying Large-scale Structured Datasets by Learning Multi-layered 3D Meta-Profiles. IEEE Big Data 2022: 734-739
[c13]
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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: 4857-4861
[c12]
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  - conf/sigmod/PaviaKPG22
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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: 2377-2380
2021
[c11]
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Sophie Pavia, Montasir Shams, Rituparna Khan, Anna Pyayt, Michael N. Gubanov:
Learning Tabular Embeddings at Web Scale. IEEE BigData 2021: 4936-4944
[c10]
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Montasir Shams, Sophie Pavia, Rituparna Khan, Anna Pyayt, Michael N. Gubanov:
Towards Unveiling Dark Web Structured Data. IEEE BigData 2021: 5275-5282
2020
[c9]
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Anna Pyayt, Rituparna Khan, Robert Brzozowski, Prahathees Eswara, Michael N. Gubanov:
Rapid Antibiotic Susceptibility Analysis Using Microscopy and Machine Learning. IEEE BigData 2020: 5804-5806

2010 – 2019

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2019
[r1]
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  - reference/ecgg/KaplanP19
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Howard Kaplan, Anna Pyayt:
Tactile Visualization and 3D Printing for Education. Encyclopedia of Computer Graphics and Games 2019
2016
[c8]
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Michael N. Gubanov, Anna Pyayt:
Type-aware Web-search. EDBT 2016: 656-657
[c7]
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  - conf/ieeesensors/KonnaiyanCPG16
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Karthik Raj Konnaiyan, Surya Cheemalapati, Anna Pyayt, Michael N. Gubanov:
mHealth dipstick analyzer for monitoring of pregnancy complications. IEEE SENSORS 2016: 1-3
2013
[c6]
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Michael N. Gubanov, Anna Pyayt:
READFAST: high-relevance search-engine for big text. CIKM 2013: 2465-2468
[c5]
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Michael N. Gubanov, Anna Pyayt:
ReadFast: Optimizing structural search relevance for big biomedical text. IRI 2013: 717-719
[c4]
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Surya Cheemalapati, Michael N. Gubanov, Michael Del Vale, Anna Pyayt:
A real-time classification algorithm for emotion detection using portable EEG. IRI 2013: 720-723
[i1]
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  - journals/corr/abs-1301-1575
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Anna Pyayt, Michael N. Gubanov:
BigDB: Automatic Machine Learning Optimizer. CoRR abs/1301.1575 (2013)
2012
[c3]
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Michael N. Gubanov, Anna Pyayt:
MEDREADFAST: A structural information retrieval engine for big clinical text. IRI 2012: 371-376
2011
[c2]
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  - conf/iri/GubanovSP11
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Michael N. Gubanov, Linda G. Shapiro, Anna Pyayt:
Learning Unified Famous Objects (UFO) to bootstrap information integration. IRI 2011: 177-180
[c1]
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Michael N. Gubanov, Anna Pyayt, Linda G. Shapiro:
READFAST: Browsing large documents through unified famous objects (UFO). IRI 2011: 321-326

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