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2020 – today
- 2023
[j10]Maria Mahbub
, Edmon Begoli, Susana B. Martins, Alina Peluso, Suzanne Tamang, Gregory D. Peterson:
cpgQA: A Benchmark Dataset for Machine Reading Comprehension Tasks on Clinical Practice Guidelines and a Case Study Using Transfer Learning. IEEE Access 11: 3691-3705 (2023)- [j9]Jun Wen, Xiang Zhang, Everett Neil Rush, Vidul Ayakulangara Panickan, Xingyu Li, Tianrun Cai, Doudou Zhou, Yuk-Lam Ho, Lauren Costa, Edmon Begoli, Chuan Hong, J. Michael Gaziano, Kelly Cho, Junwei Lu, Katherine P. Liao, Marinka Zitnik, Tianxi Cai:
Multimodal representation learning for predicting molecule-disease relations. Bioinform. 39(2) (2023) - [c25]Edmon Begoli, Edmon Meyer, Pablo Moriano, Sean Oesch:
Poster: Cognitive Cyber - Dynamic, Adaptive Cyber Defense Systems for Massively Distributed, Autonomous, and Ad-hoc Computing Environments. DEBS 2023: 177-179 - [c24]Edmon Begoli:
Poster: StreamToxWatch - Data Poisoning Detector in Distributed, Event-based Environments. DEBS 2023: 182-184 - [i8]Farhin Farhad Riya, Shahinul Hoque, Md. Saif Hassan Onim, Edward Michaud, Edmon Begoli:
Effects of Real-Life Traffic Sign Alteration on YOLOv7- an Object Recognition Model. CoRR abs/2305.05499 (2023) - [i7]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:
Question-Answering System Extracts Information on Injection Drug Use from Clinical Progress Notes. CoRR abs/2305.08777 (2023) - 2022
- [j8]Maria Mahbub, Sudarshan Srinivasan, Edmon Begoli, Gregory D. Peterson:
BioADAPT-MRC: adversarial learning-based domain adaptation improves biomedical machine reading comprehension task. Bioinform. 38(18): 4369-4379 (2022) - [c23]Edmon Begoli, Sudarshan Srinivasan, Maria Mahbub:
Improving Efficiency and Robustness of Transformer-based Information Retrieval Systems. SIGIR 2022: 3433-3435 - [i6]Maria Mahbub, Sudarshan Srinivasan, Edmon Begoli, Gregory D. Peterson:
BioADAPT-MRC: Adversarial Learning-based Domain Adaptation Improves Biomedical Machine Reading Comprehension Task. CoRR abs/2202.13174 (2022) - 2021
- [j7]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, Nicholas B. Link, Ronald G. Hauser, J. Michael Gaziano, Shawn N. Murphy, George Ostrouchov, Yuk-Lam Ho, Edmon Begoli, Junwei Lu, Kelly Cho, Katherine P. Liao, Tianxi Cai:
Clinical knowledge extraction via sparse embedding regression (KESER) with multi-center large scale electronic health record data. npj Digit. Medicine 4 (2021) - [j6]Edmon Begoli, Tyler Akidau, Slava Chernyak, Fabian Hueske, Kathryn Knight, Kenneth L. Knowles, Daniel Mills, Dan Sotolongo:
Watermarks in Stream Processing Systems: Semantics and Comparative Analysis of Apache Flink and Google Cloud Dataflow. Proc. VLDB Endow. 14(12): 3135-3147 (2021) - [c22]Edmon Begoli, Seung-Hwan Lim, Sudarshan Srinivasan:
Performance Profile of Transformer Fine-Tuning in Multi-GPU Cloud Environments. IEEE BigData 2021: 3095-3100 - [c21]Edmon Begoli, Ian Goethert, Kathryn Knight:
A Lakehouse Architecture for the Management and Analysis of Heterogeneous Data for Biomedical Research and Mega-biobanks. IEEE BigData 2021: 4643-4651 - [c20]Sudarshan Srinivasan, Edmon Begoli, Maria Mahbub, Kathryn Knight:
Nomen est Omen - The Role of Signatures in Ascribing Email Author Identity with Transformer Neural Networks. SP (Workshops) 2021: 291-297 - [i5]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, Quan Zhou, Edmon Begoli:
The Sensitivity of Word Embeddings-based Author Detection Models to Semantic-preserving Adversarial Perturbations. CoRR abs/2102.11917 (2021) - [i4]Edmon Begoli, Robert A. Bridges, Sean Oesch, Kathryn Knight:
What Clinical Trials Can Teach Us about the Development of More Resilient AI for Cybersecurity. CoRR abs/2105.06545 (2021) - 2020
- [j5]Dongfang Xu, Manoj Gopale, Jiacheng Zhang, Kris Brown, Edmon Begoli, Steven Bethard:
Unified Medical Language System resources improve sieve-based generation and Bidirectional Encoder Representations from Transformers (BERT)-based ranking for concept normalization. J. Am. Medical Informatics Assoc. 27(10): 1510-1519 (2020) - [j4]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, Przemyslaw Palka, Paolo Torroni, Shannon Wongvibulsin, Edmon Begoli, Gisbert Schneider, Stephen Cave, Mona Sloane, Emanuel Moss, Iyad Rahwan, Ken Goldberg, David Howard, Luciano Floridi, Jack Stilgoe:
AI reflections in 2019. Nat. Mach. Intell. 2(1): 2-9 (2020) - [c19]Edmon Begoli, Sudarshan Srinivasan, Maria Mahbub:
The Transformers for Polystores - The Next Frontier for Polystore Research. Poly/DMAH@VLDB 2020: 72-77
2010 – 2019
- 2019
- [j3]Franco van Wyk, Anahita Khojandi, Akram Mohammed, Edmon Begoli, Robert L. Davis, Rishikesan Kamaleswaran:
A minimal set of physiomarkers in continuous high frequency data streams predict adult sepsis onset earlier. Int. J. Medical Informatics 122: 55-62 (2019) - [j2]Edmon Begoli, Tanmoy Bhattacharya, Dimitri Kusnezov:
The need for uncertainty quantification in machine-assisted medical decision making. Nat. Mach. Intell. 1(1): 20-23 (2019) - [c18]Edmon Begoli, Tyler Akidau, Fabian Hueske, Julian Hyde, Kathryn Knight, Kenneth L. Knowles:
One SQL to Rule Them All - an Efficient and Syntactically Idiomatic Approach to Management of Streams and Tables. SIGMOD Conference 2019: 1757-1772 - [i3]Edmon Begoli, Tyler Akidau, Fabian Hueske, Julian Hyde, Kathryn Knight, Kenneth L. Knowles:
One SQL to Rule Them All. CoRR abs/1905.12133 (2019) - 2018
- [c17]Edmon Begoli, Kris Brown, Sudarshan Srinivas, Suzanne Tamang:
SynthNotes: A Generator Framework for High-volume, High-fidelity Synthetic Mental Health Notes. IEEE BigData 2018: 951-958 - [c16]Benjamin Mayer, Joshua Arnold, Edmon Begoli, Everett Neil Rush, Michael Drewry, Kris Brown, Eduardo Ponce, Sudarshan Srinivas:
Evaluating Text Analytic Frameworks for Mental Health Surveillance. ICDE Workshops 2018: 39-47 - [c15]Michael Bowie, Edmon Begoli, Byung H. Park:
Improving Quality of Observational Streaming Medical Data by Using Long Short-Term Memory Networks (LSTMs). ICDE Workshops 2018: 48-53 - [c14]Edmon Begoli, Jesús Camacho-Rodríguez, Julian Hyde, Michael J. Mior, Daniel Lemire:
Apache Calcite: A Foundational Framework for Optimized Query Processing Over Heterogeneous Data Sources. SIGMOD Conference 2018: 221-230 - [i2]Edmon Begoli, Jesús Camacho-Rodríguez, Julian Hyde, Michael J. Mior, Daniel Lemire:
Apache Calcite: A Foundational Framework for Optimized Query Processing Over Heterogeneous Data Sources. CoRR abs/1802.10233 (2018) - [i1]Edmon Begoli, Jim Brase, Bambi DeLaRosa, Penelope Jones, Dimitri Kusnezov, Jason Paragas, Rick Stevens, Frederick H. Streitz, Georgia D. Tourassi:
Precision Medicine as an Accelerator for Next Generation Cognitive Supercomputing. CoRR abs/1804.11002 (2018) - 2017
- [j1]Edmon Begoli, Vincent Schlegel, Michael Francis Atiyah, Praise Adeyemo, Tim Baarslag:
The Heidelberg Laureate Forum on the moving frontier between mathematics and computer science. XRDS 23(3): 46-49 (2017) - [c13]Ashwin Kumar Vajantri, Kunwar Deep Singh Toor, Edmon Begoli, Jack Bates:
An apache calcite-based polystore variation for federated querying of heterogeneous healthcare sources. IEEE BigData 2017: 3221-3227 - [c12]Michael Bowie, Edmon Begoli, Byung H. Park, Jeevith Bopaiah:
Towards an LSTM-based Approach for Detection of Temporally Anomalous Data in Medical Datasets. ICIQ 2017 - [c11]Edmon Begoli, James Blair Christian, Vijay Gadepally, Stavros Papadopoulos:
An Emerging Role for Polystores in Precision Medicine. DMAH@VLDB 2017: 41-52 - [e1]Edmon Begoli, Fusheng Wang, Gang Luo:
Data Management and Analytics for Medicine and Healthcare - Third International Workshop, DMAH 2017, Held at VLDB 2017, Munich, Germany, September 1, 2017, Proceedings. Lecture Notes in Computer Science 10494, Springer 2017, ISBN 978-3-319-67185-7 [contents] - 2016
- [c10]Edmon Begoli, Derek Kistler, Jack Bates:
Towards a heterogeneous, polystore-like data architecture for the US Department of Veteran Affairs (VA) enterprise analytics. IEEE BigData 2016: 2550-2554 - [c9]Edmon Begoli, Ted Dunning, Charlie Frasure:
Real-Time Discovery Services over Large, Heterogeneous and Complex Healthcare Datasets Using Schema-Less, Column-Oriented Methods. BigDataService 2016: 257-264 - 2015
- [c8]Troy Baer, Paul Peltz Jr., Junqi Yin, Edmon Begoli:
Integrating apache spark into PBS-Based HPC environments. XSEDE 2015: 34:1-34:7 - 2013
- [c7]Edmon Begoli, Cristi L. Ogle, David F. Cihak, Bruce J. MacLennan:
Towards an Integrative Computational Foundation for Applied Behavior Analysis in Early Autism Interventions. AIED 2013: 888-891 - [c6]Seung-Hwan Lim, James L. Horey, Yanjun Yao, Edmon Begoli, Qing Cao:
Performance Implications from Sizing a VM on Multi-core Systems: A Data Analytic Application's View. IPDPS Workshops 2013: 1001-1008 - [c5]Edmon Begoli, Theodore F. Chila, William H. Inmon:
Scenario-driven architecture assessment methodology for large data analysis systems. SysCon 2013: 51-55 - 2012
- [c4]James L. Horey, Edmon Begoli, Raghul Gunasekaran, Seung-Hwan Lim, James J. Nutaro:
Big Data Platforms as a Service: Challenges and Approach. HotCloud 2012 - [c3]Edmon Begoli:
Architectures and platforms for knowledge discovery from data: workshop at WICSA/ECSA 2012. WICSA/ECSA Companion Volume 2012: 167-168 - [c2]Edmon Begoli:
A short survey on the state of the art in architectures and platforms for large scale data analysis and knowledge discovery from data. WICSA/ECSA Companion Volume 2012: 177-183 - [c1]Edmon Begoli, James L. Horey:
Design Principles for Effective Knowledge Discovery from Big Data. WICSA/ECSA 2012: 215-218
Coauthor Index
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