Praveen Rao

Orcid: 0000-0002-1859-0438

Affiliations:
  • University of Missouri, Columbia, MO, USA
  • University of Missouri-Kansas City, USA


According to our database1, Praveen Rao authored at least 83 papers between 2001 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Bibliography

2024
Report on the Fifth International Workshop on Health Data Management in the Era of AI (HeDAI 2023).
SIGMOD Rec., June, 2024

A Scalable Tool For Analyzing Genomic Variants Of Humans Using Knowledge Graphs and Machine Learning.
CoRR, 2024

Seventeenth-Century Spanish American Notary Records for Fine-Tuning Spanish Large Language Models.
CoRR, 2024

A Scalable Tool for Democratizing Variant Calling on Human Genomes Using Commodity Clusters.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Impact of the Networking Infrastructure on the Performance of Variant Calling on Human Genomes in Commodity Clusters.
Proceedings of the 15th ACM International Conference on Bioinformatics, 2024

A Technique for Secure Variant Calling on Human Genome Sequences Using SmartNICs.
Proceedings of the 17th IEEE International Conference on Cloud Computing, 2024

2023
A Dataset of Network Traffic Collected During Large-Scale Human Genome Sequence Analysis.
Dataset, May, 2023

Special issue on Semantic Web Meets Health Data Management.
Semantic Web, 2023

Scalable Knowledge Graph Construction and Inference on Human Genome Variants.
CoRR, 2023

Few-Shot Learning for Word Recognition in Handwritten Seventeenth-Century Spanish American Notary Records.
Proceedings of the ACM Multimedia Asia 2023, 2023

Video Retrieval for Everyday Scenes With Common Objects.
Proceedings of the 2023 ACM International Conference on Multimedia Retrieval, 2023

Efficient Variant Calling on Human Genome Sequences Using a GPU-Enabled Commodity Cluster.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Evaluating the Effectiveness of Synthetic Datasets for Dementia Diagnosis Using Deep Learning.
Proceedings of the 52nd IEEE Applied Imagery Pattern Recognition Workshop, 2023


Evaluation of Federated Learning Techniques on Edge Devices Using Synthetic Medical Imaging Datasets.
Proceedings of the 52nd IEEE Applied Imagery Pattern Recognition Workshop, 2023

2022
Zero Shot Learning for Predicting Energy Usage of Buildings in Sustainable Design.
CoRR, 2022

KGSAR: A Knowledge Graph-Based Tool for Managing Spanish Colonial Notary Records.
Proceedings of the ISWC 2022 Posters, 2022

Enabling Large-Scale Human Genome Sequence Analysis on CloudLab.
Proceedings of the IEEE INFOCOM 2022, 2022

Mapping Clinical Notes to LOINC Document Ontology Using EHR Data.
Proceedings of the AMIA 2022, 2022

An Evaluation of Federated Learning Techniques for Secure and Privacy-Preserving Machine Learning on Medical Datasets.
Proceedings of the 51st IEEE Applied Imagery Pattern Recognition Workshop, 2022

2021
Variant Analysis of Human Genome Sequences for COVID-19 Research.
Dataset, December, 2021

Report on the Third International Workshop on Semantic Web Meets Health Data Management (SWH 2020).
SIGMOD Rec., 2021

Character Recognition Of Seventeenth-Century Spanish American Notary Records Using Deep Learning.
Digit. Humanit. Q., 2021

Evaluation of Deep Learning Techniques for Content Extraction in Spanish Colonial Notary Records.
Proceedings of the SUMAC'21: Proceedings of the 3rd Workshop on Structuring and Understanding of Multimedia heritAge Contents, 2021

C3HSB: A Transparent Supply Chain for Multi-cloud and Hybrid Cloud Assets Powered by Blockchain.
Proceedings of the 37th IEEE International Conference on Data Engineering Workshops, 2021

Accelerating Variant Calling on Human Genomes Using a Commodity Cluster.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

FederatedTree: A Secure Serverless Algorithm for Federated Learning to Reduce Data Leakage.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

FedSmarteum: Secure Federated Matrix Factorization Using Smart Contracts for Multi-Cloud Supply Chain.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020
Report on the Second International Workshop on Semantic Web Meets Health Data Management (SWH 2019).
SIGMOD Rec., 2020

Corrigendum: FoodKG: A Tool to Enrich Knowledge Graphs Using Machine Learning Techniques.
Frontiers Big Data, 2020

FoodKG: A Tool to Enrich Knowledge Graphs Using Machine Learning Techniques.
Frontiers Big Data, 2020

Link Prediction for Temporally Consistent Networks.
CoRR, 2020

A large-scale image retrieval system for everyday scenes.
Proceedings of the MMAsia 2020: ACM Multimedia Asia, 2020

QIK: A System for Large-Scale Image Retrieval on Everyday Scenes With Common Objects.
Proceedings of the 2020 on International Conference on Multimedia Retrieval, 2020

RefinedFed: A Refining Algorithm for Federated Learning.
Proceedings of the 49th IEEE Applied Imagery Pattern Recognition Workshop, 2020

Deepfakes for Histopathology Images: Myth or Reality?
Proceedings of the 49th IEEE Applied Imagery Pattern Recognition Workshop, 2020

2019
Fast Approximate Score Computation on Large-Scale Distributed Data for Learning Multinomial Bayesian Networks.
ACM Trans. Knowl. Discov. Data, 2019

Report on the First International Workshop on Semantic Web Technologies for Health Data Management (SWH 2018).
SIGMOD Rec., 2019

Extracting Meaningful Insights on City and Zone Levels Utilizing US Open Government Data.
Proceedings of the Companion of The 2019 World Wide Web Conference, 2019

A system for one-shot learning of cervical cancer cell classification in histopathology images.
Proceedings of the Medical Imaging 2019: Digital Pathology, 2019

A Gossip-Based System for Fast Approximate Score Computation in Multinomial Bayesian Networks.
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

A Method for Scalable First-Order Rule Learning on Twitter Data.
Proceedings of the 35th IEEE International Conference on Data Engineering Workshops, 2019

2018
Semantic Web Technologies for Health Data Management.
Proceedings of the First International Workshop on Semantic Web Technologies for Health Data Management, 2018

RichRDF: A Tool for Enriching Food, Energy, and Water Datasets with Semantically Related Facts and Images.
Proceedings of the ISWC 2018 Posters & Demonstrations, Industry and Blue Sky Ideas Tracks co-located with 17th International Semantic Web Conference (ISWC 2018), Monterey, USA, October 8th - to, 2018

The Case for Designing Data-Intensive Cloud-Based Healthcare Applications.
Proceedings of the First International Workshop on Semantic Web Technologies for Health Data Management, 2018

Scalable storage of whole slide images and fast retrieval of tiles using Apache Spark.
Proceedings of the Medical Imaging 2018: Digital Pathology, 2018

Teaching Parallel Programming with Active Learning.
Proceedings of the 2018 IEEE International Parallel and Distributed Processing Symposium Workshops, 2018

Mobile Computing, IoT and Big Data for Urban Informatics: Challenges and Opportunities.
Proceedings of the Handbook of Smart Cities, Software Services and Cyber Infrastructure., 2018

2017
<i>DISPAQ</i>: Distributed Profitable-Area Query from Big Taxi Trip Data.
Sensors, 2017

A Tool for Efficiently Processing SPARQL Queries on RDF Quads.
Proceedings of the ISWC 2017 Posters & Demonstrations and Industry Tracks co-located with 16th International Semantic Web Conference (ISWC 2017), Vienna, Austria, October 23rd - to, 2017

Scalable Score Computation for Learning Multinomial Bayesian Networks over Distributed Data.
Proceedings of the Workshops of the The Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
RIQ: Fast processing of SPARQL queries on RDF quadruples.
J. Web Semant., 2016

Querying and Extracting Timeline Information from Road Traffic Sensor Data.
Sensors, 2016

Fast processing of graph queries on a large database of small and medium-sized data graphs.
J. Comput. Syst. Sci., 2016

A Knowledge Ecosystem for the Food, Energy, and Water System.
CoRR, 2016

Mobile Computing, Internet of Things, and Big Data for Urban Informatics.
Proceedings of the IEEE 17th International Conference on Mobile Data Management, 2016

Probabilistic Inference on Twitter Data to Discover Suspicious Users and Malicious Content.
Proceedings of the 2016 IEEE International Conference on Computer and Information Technology, 2016

2015
An alternative database approach for management of SNOMED CT and improved patient data queries.
J. Biomed. Informatics, 2015

Advanced Big Data Management and Analytics for Ubiquitous Sensors.
Int. J. Distributed Sens. Networks, 2015

Fast Processing of SPARQL Queries on RDF Quadruples.
CoRR, 2015

A prototype of a novel cell phone application for tracking the vaccination coverage of children in rural communities.
Comput. Methods Programs Biomed., 2015

2014
A gossip-based approach for Internet-scale cardinality estimation of XPath queries over distributed semistructured data.
VLDB J., 2014

A tool for Internet-scale cardinality estimation of XPath queries over distributed semistructured data.
Proceedings of the IEEE 30th International Conference on Data Engineering, Chicago, 2014

2013
SAVEUS: SAving Victims in Earthquakes through Unified Systems.
Int. J. Commun. Networks Distributed Syst., 2013

A new tool for sharing and querying of clinical documents modeled using HL7 Version 3 standard.
Comput. Methods Programs Biomed., 2013

Jeev: A Low-Cost Cell Phone Application for Tracking the Vaccination Coverage of Children in Rural Communities.
Proceedings of the IEEE International Conference on Healthcare Informatics, 2013

2012
Performance of RDF Query Processing on the Intel SCC.
Proceedings of the 6th Many-core Applications Research Community (MARC) Symposium. Proceedings of the 6th MARC Symposium, 2012

A software tool for large-scale sharing and querying of clinical documents modeled using HL7 version 3 standard.
Proceedings of the ACM International Health Informatics Symposium, 2012

2011
A tool for fast indexing and querying of graphs.
Proceedings of the 20th International Conference on World Wide Web, 2011

2010
Towards large-scale sharing of electronic health records of cancer patients.
Proceedings of the ACM International Health Informatics Symposium, 2010

2009
Fast XML document filtering by sequencing twig patterns.
ACM Trans. Internet Techn., 2009

Locating XML Documents in a Peer-to-Peer Network Using Distributed Hash Tables.
IEEE Trans. Knowl. Data Eng., 2009

A Data Parallel Algorithm for XML DOM Parsing.
Proceedings of the Database and XML Technologies, 6th International XML Database Symposium, 2009

An Internet-Scale Service for Publishing and Locating XML Documents.
Proceedings of the 25th International Conference on Data Engineering, 2009

2008
Value-based predicate filtering of XML documents.
Data Knowl. Eng., 2008

2007
Indexing XML Data for Efficient Twig Pattern Matching.
PhD thesis, 2007

Net-X: Unified Data-Centric Internet Services.
Proceedings of the Third International Workshop on Networking Meets Databases, 2007

Value-based Predicate Filtering of Streaming XML Data.
Proceedings of the 2007 International Conference on Multimedia and Ubiquitous Engineering (MUE 2007), 2007

2006
Sequencing XML data and query twigs for fast pattern matching.
ACM Trans. Database Syst., 2006

SketchTree: Approximate Tree Pattern Counts over Streaming Labeled Trees.
Proceedings of the 22nd International Conference on Data Engineering, 2006

2005
FiST: Scalable XML Document Filtering by Sequencing Twig Patterns.
Proceedings of the 31st International Conference on Very Large Data Bases, Trondheim, Norway, August 30, 2005

2004
PRIX: Indexing And Querying XML Using Prüfer Sequences.
Proceedings of the 20th International Conference on Data Engineering, 2004

2001
Program Execution-Based Module Cohesion Measurement.
Proceedings of the 16th IEEE International Conference on Automated Software Engineering (ASE 2001), 2001


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