Big Data Platforms as a Service: Challenges and Approach. - James L. Horey; Edmon Begoli; Raghul Gunasekaran; Seung-Hwan Lim; James J. Nutaro (HotCloud, 2012)

Architectures and platforms for knowledge discovery from data: workshop at WICSA/ECSA 2012. - Edmon Begoli (WICSA/ECSA Companion Volume, 2012)

A short survey on the state of the art in architectures and platforms for large scale data analysis and knowledge discovery from data. - Edmon Begoli (WICSA/ECSA Companion Volume, 2012)

Design Principles for Effective Knowledge Discovery from Big Data. - Edmon Begoli; James L. Horey (WICSA/ECSA, 2012)

Towards an Integrative Computational Foundation for Applied Behavior Analysis in Early Autism Interventions. - Edmon Begoli; Cristi L. Ogle; David F. Cihak; Bruce J. MacLennan (AIED, 2013)

Performance Implications from Sizing a VM on Multi-core Systems: A Data Analytic Application's View. - Seung-Hwan Lim; James L. Horey; Yanjun Yao; Edmon Begoli; Qing Cao 001 (IPDPS Workshops, 2013)

Scenario-driven architecture assessment methodology for large data analysis systems. - Edmon Begoli; Theodore F. Chila; William H. Inmon (SysCon, 2013)

Integrating apache spark into PBS-Based HPC environments. - Troy Baer; Paul Peltz Jr.; Junqi Yin; Edmon Begoli (XSEDE, 2015)

Towards a heterogeneous, polystore-like data architecture for the US Department of Veteran Affairs (VA) enterprise analytics. - Edmon Begoli; Derek Kistler; Jack Bates (IEEE BigData, 2016)

Real-Time Discovery Services over Large, Heterogeneous and Complex Healthcare Datasets Using Schema-Less, Column-Oriented Methods. - Edmon Begoli; Ted Dunning; Charlie Frasure (BigDataService, 2016)

An apache calcite-based polystore variation for federated querying of heterogeneous healthcare sources. - Ashwin Kumar Vajantri; Kunwar Deep Singh Toor; Edmon Begoli; Jack Bates (IEEE BigData, 2017)

Towards an LSTM-based Approach for Detection of Temporally Anomalous Data in Medical Datasets. - Michael Bowie; Edmon Begoli; Byung H. Park; Jeevith Bopaiah (ICIQ, 2017)

An Emerging Role for Polystores in Precision Medicine. - Edmon Begoli; James Blair Christian; Vijay Gadepally; Stavros Papadopoulos 001 (DMAH@VLDB, 2017)

The Heidelberg Laureate Forum on the moving frontier between mathematics and computer science. - Edmon Begoli; Vincent Schlegel; Michael Francis Atiyah; Praise Adeyemo; Tim Baarslag (XRDS, 2017)

SynthNotes: A Generator Framework for High-volume, High-fidelity Synthetic Mental Health Notes. - Edmon Begoli; Kris Brown; Sudarshan Srinivasan; Suzanne Tamang (IEEE BigData, 2018)

Improving Quality of Observational Streaming Medical Data by Using Long Short-Term Memory Networks (LSTMs). - Michael Bowie; Edmon Begoli; Byung H. Park (ICDE Workshops, 2018)

Evaluating Text Analytic Frameworks for Mental Health Surveillance. - Benjamin Mayer; Joshua Arnold; Edmon Begoli; Everett Neil Rush; Michael Drewry; Kris Brown; Eduardo Ponce; Sudarshan Srinivasan (ICDE Workshops, 2018)

Apache Calcite: A Foundational Framework for Optimized Query Processing Over Heterogeneous Data Sources. - Edmon Begoli; Jesús Camacho-Rodríguez; Julian Hyde; Michael J. Mior; Daniel Lemire (SIGMOD Conference, 2018)

Precision Medicine as an Accelerator for Next Generation Cognitive Supercomputing. - Edmon Begoli; Jim Brase; Bambi DeLaRosa; Penelope Jones; Dimitri Kusnezov; Jason Paragas; Rick Stevens; Frederick H. Streitz; Georgia D. Tourassi (CoRR, 2018)

One SQL to Rule Them All - an Efficient and Syntactically Idiomatic Approach to Management of Streams and Tables. - Edmon Begoli; Tyler Akidau; Fabian Hueske; Julian Hyde; Kathryn Knight; Kenneth L. Knowles (SIGMOD Conference, 2019)

One SQL to Rule Them All. - Edmon Begoli; Tyler Akidau; Fabian Hueske; Julian Hyde; Kathryn Knight; Kenneth L. Knowles (CoRR, 2019)

A minimal set of physiomarkers in continuous high frequency data streams predict adult sepsis onset earlier. - Franco van Wyk; Anahita Khojandi; Akram Mohammed; Edmon Begoli; Robert L. Davis; Rishikesan Kamaleswaran (Int. J. Medical Informatics, 2019)

The need for uncertainty quantification in machine-assisted medical decision making. - Edmon Begoli; Tanmoy Bhattacharya 001; Dimitri Kusnezov (Nat. Mach. Intell., 2019)

The Transformers for Polystores - The Next Frontier for Polystore Research. - Edmon Begoli; Sudarshan Srinivasan; Maria Mahbub (Poly/DMAH@VLDB, 2020)

Unified Medical Language System resources improve sieve-based generation and Bidirectional Encoder Representations from Transformers (BERT)-based ranking for concept normalization. - Dongfang Xu; Manoj Gopale; Jiacheng Zhang; Kris Brown; Edmon Begoli; Steven Bethard (J. Am. Medical Informatics Assoc., 2020)

AI reflections in 2019. - Alexander S. Rich; Cynthia Rudin; David M. P. Jacoby; Robin Freeman; Oliver R. Wearn; Henry Shevlin; Kanta Dihal; Seán S. ÓhÉigeartaigh; James Butcher; Marco Lippi 001; Przemyslaw Palka; Paolo Torroni; et al. (Nat. Mach. Intell., 2020)

A Lakehouse Architecture for the Management and Analysis of Heterogeneous Data for Biomedical Research and Mega-biobanks. - Edmon Begoli; Ian Goethert; Kathryn Knight (IEEE BigData, 2021)

Performance Profile of Transformer Fine-Tuning in Multi-GPU Cloud Environments. - Edmon Begoli; Seung-Hwan Lim; Sudarshan Srinivasan (IEEE BigData, 2021)

Nomen est Omen - The Role of Signatures in Ascribing Email Author Identity with Transformer Neural Networks. - Sudarshan Srinivasan; Edmon Begoli; Maria Mahbub; Kathryn Knight (SP (Workshops), 2021)

The Sensitivity of Word Embeddings-based Author Detection Models to Semantic-preserving Adversarial Perturbations. - Jeremiah Duncan; Fabian Fallas; Chris Gropp; Emily Herron; Maria Mahbub; Paula Olaya; Eduardo Ponce; Tabitha K. Samuel; Daniel Schultz; Sudarshan Srinivasan; Maofeng Tang; Viktor Zenkov; et al. (CoRR, 2021)

What Clinical Trials Can Teach Us about the Development of More Resilient AI for Cybersecurity. - Edmon Begoli; Robert A. Bridges; Sean Oesch; Kathryn Knight (CoRR, 2021)

Clinical knowledge extraction via sparse embedding regression (KESER) with multi-center large scale electronic health record data. - Chuan Hong; Everett Neil Rush; Molei Liu; Doudou Zhou; Jiehuan Sun; Aaron Sonabend W.; Victor M. Castro; Petra Schubert; Vidul Ayakulangara Panickan; Tianrun Cai; Lauren Costa; Zeling He; et al. (npj Digit. Medicine, 2021)

Watermarks in Stream Processing Systems: Semantics and Comparative Analysis of Apache Flink and Google Cloud Dataflow. - Edmon Begoli; Tyler Akidau; Slava Chernyak; Fabian Hueske; Kathryn Knight; Kenneth L. Knowles; Daniel Mills; Dan Sotolongo (Proc. VLDB Endow., 2021)

Improving Efficiency and Robustness of Transformer-based Information Retrieval Systems. - Edmon Begoli; Sudarshan Srinivasan; Maria Mahbub (SIGIR, 2022)

BioADAPT-MRC: adversarial learning-based domain adaptation improves biomedical machine reading comprehension task. - Maria Mahbub; Sudarshan Srinivasan; Edmon Begoli; Gregory D. Peterson (Bioinform., 2022)

Poster: StreamToxWatch - Data Poisoning Detector in Distributed, Event-based Environments. - Edmon Begoli (DEBS, 2023)

Poster: Cognitive Cyber - Dynamic, Adaptive Cyber Defense Systems for Massively Distributed, Autonomous, and Ad-hoc Computing Environments. - Edmon Begoli; Edmon Meyer; Pablo Moriano; Sean Oesch (DEBS, 2023)

cpgQA: A Benchmark Dataset for Machine Reading Comprehension Tasks on Clinical Practice Guidelines and a Case Study Using Transfer Learning. - Maria Mahbub; Edmon Begoli; Susana B. Martins; Alina Peluso; Suzanne Tamang; Gregory D. Peterson (IEEE Access, 2023)

Effects of Real-Life Traffic Sign Alteration on YOLOv7- an Object Recognition Model. - Farhin Farhad Riya; Shahinul Hoque; Md. Saif Hassan Onim; Edward Michaud; Edmon Begoli (CoRR, 2023)

Question-Answering System Extracts Information on Injection Drug Use from Clinical Progress Notes. - Maria Mahbub; Ian Goethert; Ioana Danciu; Kathryn Knight; Sudarshan Srinivasan; Suzanne Tamang; Karine Rozenberg-Ben-Dror; Hugo Solares; Susana B. Martins; Edmon Begoli; Gregory D. Peterson (CoRR, 2023)

Multimodal representation learning for predicting molecule-disease relations. - Jun Wen; Xiang Zhang 012; Everett Neil Rush; Vidul Ayakulangara Panickan; Xingyu Li; Tianrun Cai; Doudou Zhou; Yuk-Lam Ho; Lauren Costa; Edmon Begoli; Chuan Hong; J. Michael Gaziano; et al. (Bioinform., 2023)

Semantic Stealth: Crafting Covert Adversarial Patches for Sentiment Classifiers Using Large Language Models. - Camila Roa; Maria Mahbub; Sudarshan Srinivasan; Edmon Begoli; Amir Sadovnik (AISec@CCS, 2024)

A Compound Data Poisoning Technique with Significant Adversarial Effects on Transformer-based Sentiment Classification Tasks. - Edmon Begoli; Maria Mahbub; Linsey Passarella; Sudarshan Srinivasan (ACM J. Data Inf. Qual., 2024)

ARCH: Large-scale knowledge graph via aggregated narrative codified health records analysis. - Ziming Gan; Doudou Zhou; Everett Neil Rush; Vidul Ayakulangara Panickan; Yuk-Lam Ho; George Ostrouchov; Zhiwei Xu; Shuting Shen; Xin Xiong; Kimberly F. Greco; Chuan Hong; Clara-Lea Bonzel; et al. (J. Biomed. Informatics, 2025)

DOME: Directional medical embedding vectors from Electronic Health Records. - Jun Wen; Hao Xue 005; Everett Neil Rush; Vidul Ayakulangara Panickan; Tianrun Cai; Doudou Zhou; Yuk-Lam Ho; Lauren Costa; Edmon Begoli; Chuan Hong; J. Michael Gaziano; Kelly Cho; et al. (J. Biomed. Informatics, 2025)

Reliability, Resiliency, and Responsibility: A Framework for Addressing Security Concerns in Large Language Models. - Linsey Passarella; Edmon Begoli; Colin Smith; Amir Sadovnik (SN Comput. Sci., 2025)

Adversarial Binaries: AI-guided Instrumentation Methods for Malware Detection Evasion. - Luke Koch; Edmon Begoli (ACM Comput. Surv., 2025)