Edmon Begoli

Orcid: 0000-0002-2173-3663

According to our database1, Edmon Begoli authored at least 42 papers between 2012 and 2024.

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Bibliography

2024
Semantic Stealth: Crafting Covert Adversarial Patches for Sentiment Classifiers Using Large Language Models.
Proceedings of the 2024 Workshop on Artificial Intelligence and Security, 2024

2023
Multimodal representation learning for predicting molecule-disease relations.
Bioinform., February, 2023

Question-Answering System Extracts Information on Injection Drug Use from Clinical Progress Notes.
CoRR, 2023

Effects of Real-Life Traffic Sign Alteration on YOLOv7- an Object Recognition Model.
CoRR, 2023

cpgQA: A Benchmark Dataset for Machine Reading Comprehension Tasks on Clinical Practice Guidelines and a Case Study Using Transfer Learning.
IEEE Access, 2023

Poster: Cognitive Cyber - Dynamic, Adaptive Cyber Defense Systems for Massively Distributed, Autonomous, and Ad-hoc Computing Environments.
Proceedings of the 17th ACM International Conference on Distributed and Event-based Systems, 2023

Poster: StreamToxWatch - Data Poisoning Detector in Distributed, Event-based Environments.
Proceedings of the 17th ACM International Conference on Distributed and Event-based Systems, 2023

2022
BioADAPT-MRC: adversarial learning-based domain adaptation improves biomedical machine reading comprehension task.
Bioinform., 2022

Improving Efficiency and Robustness of Transformer-based Information Retrieval Systems.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

2021
Watermarks in Stream Processing Systems: Semantics and Comparative Analysis of Apache Flink and Google Cloud Dataflow.
Proc. VLDB Endow., 2021

Clinical knowledge extraction via sparse embedding regression (KESER) with multi-center large scale electronic health record data.
npj Digit. Medicine, 2021

What Clinical Trials Can Teach Us about the Development of More Resilient AI for Cybersecurity.
CoRR, 2021

The Sensitivity of Word Embeddings-based Author Detection Models to Semantic-preserving Adversarial Perturbations.
CoRR, 2021

Nomen est Omen - The Role of Signatures in Ascribing Email Author Identity with Transformer Neural Networks.
Proceedings of the IEEE Security and Privacy Workshops, 2021

Performance Profile of Transformer Fine-Tuning in Multi-GPU Cloud Environments.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

A Lakehouse Architecture for the Management and Analysis of Heterogeneous Data for Biomedical Research and Mega-biobanks.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020
AI reflections in 2019.
Nat. Mach. Intell., 2020

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., 2020

The Transformers for Polystores - The Next Frontier for Polystore Research.
Proceedings of the Heterogeneous Data Management, Polystores, and Analytics for Healthcare, 2020

2019
The need for uncertainty quantification in machine-assisted medical decision making.
Nat. Mach. Intell., 2019

A minimal set of physiomarkers in continuous high frequency data streams predict adult sepsis onset earlier.
Int. J. Medical Informatics, 2019

One SQL to Rule Them All.
CoRR, 2019

One SQL to Rule Them All - an Efficient and Syntactically Idiomatic Approach to Management of Streams and Tables.
Proceedings of the 2019 International Conference on Management of Data, 2019

2018
Precision Medicine as an Accelerator for Next Generation Cognitive Supercomputing.
CoRR, 2018

Apache Calcite: A Foundational Framework for Optimized Query Processing Over Heterogeneous Data Sources.
Proceedings of the 2018 International Conference on Management of Data, 2018

Evaluating Text Analytic Frameworks for Mental Health Surveillance.
Proceedings of the 34th IEEE International Conference on Data Engineering Workshops, 2018

Improving Quality of Observational Streaming Medical Data by Using Long Short-Term Memory Networks (LSTMs).
Proceedings of the 34th IEEE International Conference on Data Engineering Workshops, 2018

SynthNotes: A Generator Framework for High-volume, High-fidelity Synthetic Mental Health Notes.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017
The Heidelberg Laureate Forum on the moving frontier between mathematics and computer science.
XRDS, 2017

An Emerging Role for Polystores in Precision Medicine.
Proceedings of the Data Management and Analytics for Medicine and Healthcare, 2017

Towards an LSTM-based Approach for Detection of Temporally Anomalous Data in Medical Datasets.
Proceedings of the 22nd International Conference on Information Quality, 2017

An apache calcite-based polystore variation for federated querying of heterogeneous healthcare sources.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

2016
Real-Time Discovery Services over Large, Heterogeneous and Complex Healthcare Datasets Using Schema-Less, Column-Oriented Methods.
Proceedings of the Second IEEE International Conference on Big Data Computing Service and Applications, 2016

Towards a heterogeneous, polystore-like data architecture for the US Department of Veteran Affairs (VA) enterprise analytics.
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

2015
Integrating apache spark into PBS-Based HPC environments.
Proceedings of the 2015 XSEDE Conference: Scientific Advancements Enabled by Enhanced Cyberinfrastructure, St. Louis, MO, USA, July 26, 2015

2013
Scenario-driven architecture assessment methodology for large data analysis systems.
Proceedings of the IEEE International Systems Conference, 2013

Performance Implications from Sizing a VM on Multi-core Systems: A Data Analytic Application's View.
Proceedings of the 2013 IEEE International Symposium on Parallel & Distributed Processing, 2013

Towards an Integrative Computational Foundation for Applied Behavior Analysis in Early Autism Interventions.
Proceedings of the Artificial Intelligence in Education - 16th International Conference, 2013

2012
Design Principles for Effective Knowledge Discovery from Big Data.
Proceedings of the 2012 Joint Working IEEE/IFIP Conference on Software Architecture and European Conference on Software Architecture, 2012

A short survey on the state of the art in architectures and platforms for large scale data analysis and knowledge discovery from data.
Proceedings of the 2012 Joint Working IEEE/IFIP Conference on Software Architecture and European Conference on Software Architecture, 2012

Architectures and platforms for knowledge discovery from data: workshop at WICSA/ECSA 2012.
Proceedings of the 2012 Joint Working IEEE/IFIP Conference on Software Architecture and European Conference on Software Architecture, 2012

Big Data Platforms as a Service: Challenges and Approach.
Proceedings of the 4th USENIX Workshop on Hot Topics in Cloud Computing, 2012


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