Developing a Data Driven Prognostic System with Limited System Information. - Laura Pullum; Marjorie Darrah; Spiro T. Skias; Kam S. Tso; Ann T. Tai (HASE, 2004)

A Stigmergy Approach for Open Source Software Developer Community Simulation. - Xiaohui Cui; Justin M. Beaver; Jim N. Treadwell; Thomas E. Potok; Laura Pullum (CSE (4), 2009)

Architecture-level dependability analysis of a medical decision support system. - Laura L. Pullum; Christopher T. Symons; Robert M. Patton; Barbara G. Beckerman (SEHC@ICSE, 2010)

The Swarm Model in Open Source Software Developer Communities. - Xiaohui Cui; Justin M. Beaver; Everett Stiles; Laura Pullum; Brian A. Klump; Jim N. Treadwell; Thomas E. Potok (SocialCom/PASSAT, 2010)

Detecting Emergence in Social Networks. - Peter Haglich; Christopher A. Rouff; Laura Pullum (SocialCom/PASSAT, 2010)

Failure Analysis of a Complex Learning Framework Incorporating Multi-modal and Semi-supervised Learning. - Laura L. Pullum; Christopher T. Symons (PRDC, 2011)

Poster: a novel architecture for biothreat situation awareness. - Thomas S. Brettin; Laura Pullum; Daniel Quest; Xiaohui Cui; Songhua Xu; Richard Stouder (SC Companion, 2011)

The AdaptiV approach to verification of adaptive systems. - Christopher A. Rouff; Richard W. Buskens; Laura Pullum; Xiaohui Cui; Mike Hinchey (C3S2E, 2012)

Verification of Adaptive Systems. - Laura Pullum; Xiaohui Cui; Emil Vassev; Michael G. Hinchey; Christopher A. Rouff; Richard W. Buskens (Infotech@Aerospace, 2012)

EpiSpec: A formal specification language for parameterized agent-based models against epidemiological ground truth. - Faraz Hussain 001; Arvind Ramanathan; Laura L. Pullum; Sumit Kumar Jha 001 (ICCABS, 2014)

Oak Ridge Biosurveillance Toolkit: Scalable machine learning for public health surveillance. - Laura L. Pullum; Arvind Ramanathan (ICCABS, 2014)

Sequential pattern mining of electronic healthcare reimbursement claims: Experiences and challenges in uncovering how patients are treated by physicians. - Kunal Malhotra; Tanner C. Hobson; Silvia Valkova; Laura L. Pullum; Arvind Ramanathan (IEEE BigData, 2015)

ORBiT: Oak Ridge biosurveillance toolkit for public health dynamics. - Arvind Ramanathan; Laura L. Pullum; Tanner C. Hobson; Chad A. Steed; Shannon P. Quinn; Chakra S. Chennubhotla; Silvia Valkova (BMC Bioinform., 2015)

Integrating symbolic and statistical methods for testing intelligent systems: Applications to machine learning and computer vision. - Arvind Ramanathan; Laura L. Pullum; Faraz Hussain 001; Dwaipayan Chakrabarty; Sumit Kumar Jha 001 (DATE, 2016)

Analyzing the impact of modeling choices and assumptions in compartmental epidemiological models. - Özgür Özmen; James J. Nutaro; Laura L. Pullum; Arvind Ramanathan (Simul., 2016)

Testing autonomous cyber-physical systems using fuzzing features from convolutional neural networks: work-in-progress. - Sunny Raj; Sumit Kumar Jha 001; Arvind Ramanathan; Laura L. Pullum (EMSOFT Companion, 2017)

SATYA : Defending Against Adversarial Attacks Using Statistical Hypothesis Testing. - Sunny Raj; Laura Pullum; Arvind Ramanathan; Sumit Kumar Jha 001 (FPS, 2017)

Adversarial attacks on computer vision algorithms using natural perturbations. - Arvind Ramanathan; Laura L. Pullum; Zubir Husein; Sunny Raj; Neslisah Torosdagli; Sumanta N. Pattanaik; Sumit Kumar Jha 001 (IC3, 2017)

Data-Driven Immunization. - Yao Zhang 003; Arvind Ramanathan; Anil Vullikanti; Laura L. Pullum; B. Aditya Prakash (ICDM, 2017)

MET 2017 Workshop Summary. - Laura L. Pullum; Dave Towey; Upulee Kanewala; Chang-Ai Sun; Márcio Eduardo Delamaro (MET@ICSE, 2017)

Topic Modeling to Discern Irregular Order Patterns in Unlabeled Electronic Health Records. - Özgür Özmen; Hilda B. Klasky; Olufemi A. Omitaomu; Mohammed M. Olama; P. Teja Kuruganti; Laura Pullum; Merry Ward; Jeanie M. Scott; Angela Laurio; Jonathan R. Nebeker (BHI, 2019)

On the Susceptibility of Deep Neural Networks to Natural Perturbations. - Mesut Ozdag; Sunny Raj; Steven Lawrence Fernandes; Alvaro Velasquez; Laura Pullum; Sumit Kumar Jha 001 (AISafety@IJCAI, 2019)

Data-driven efficient network and surveillance-based immunization. - Yao Zhang 003; Arvind Ramanathan; Anil Vullikanti; Laura Pullum; B. Aditya Prakash (Knowl. Inf. Syst., 2019)

Workshop Summary: 2019 IEEE / ACM Fourth International Workshop on Metamorphic Testing (MET 2019). - Xiaoyuan Xie; Pak-Lok Poon; Laura L. Pullum (ACM SIGSOFT Softw. Eng. Notes, 2019)

Adaptive Anomaly Detection for Dynamic Clinical Event Sequences. - Haoran Niu; Olufemi A. Omitaomu; Qing C. Cao; Mohammed M. Olama; Özgür Özmen; Hilda B. Klasky; Laura Pullum; Addi Thakur Malviya; P. Teja Kuruganti; Jeanie M. Scott; Angela Laurio; Frank Drews; et al. (IEEE BigData, 2020)

Automated detection of pitting and stress corrosion cracks in used nuclear fuel dry storage canisters using residual neural networks. - Theodore Papamarkou; Hayley Guy; Bryce Kroencke; Jordan Miller; Preston Robinette; Daniel Schultz; Jacob D. Hinkle; Laura Pullum; Catherine D. Schuman; Jeremy Renshaw; Stylianos Chatzidakis (CoRR, 2020)

An Extension of Fano's Inequality for Characterizing Model Susceptibility to Membership Inference Attacks. - Sumit Kumar Jha 001; Susmit Jha; Rickard Ewetz; Sunny Raj; Alvaro Velasquez; Laura L. Pullum; Ananthram Swami (CoRR, 2020)

Attacking NIST biometric image software using nonlinear optimization. - Sunny Raj; Jodh S. Pannu; Steven Lawrence Fernandes; Arvind Ramanathan; Laura L. Pullum; Sumit Kumar Jha 001 (Pattern Recognit. Lett., 2020)

Evolution of the IEEE P7009 Standard: Towards Fail-Safe Design of Autonomous Systems. - Marie Farrell; Matt Luckcuck; Laura Pullum; Michael Fisher 001; Ali Hessami; Danit Gal; Zvikomborero Murahwi; Ken R. Wallace (ISSRE Workshops, 2021)

A new methodological framework for hazard detection models in health information technology systems. - Olufemi A. Omitaomu; Hilda B. Klasky; Mohammed M. Olama; Özgür Özmen; Laura Pullum; Addi Thakur Malviya; P. Teja Kuruganti; Jeanie M. Scott; Angela Laurio; Frank Drews; Brian C. Sauer; Merry Ward; et al. (J. Biomed. Informatics, 2021)

Use of Event-Time Embeddings via RNN to Discern Novel Event Sequences in EHRs. - Özgür Özmen; Hilda B. Klasky; Olufemi A. Omitaomu; Mohammed M. Olama; P. Teja Kuruganti; Laura Pullum; Addi Thakur Malviya; Merry Ward; Jeanie M. Scott; Angela Laurio; Brian C. Sauer; Frank Drews; et al. (ICHI, 2022)

A Systematic Review of Healthcare Information Technology Anomaly Classification. - Laura Pullum; Olufemi A. Omitaomu; Mohammed M. Olama; Addi Thakur Malviya; Ozgur Ozmer; Hilda B. Klasky; P. Teja Kuruganti; Merry Ward; Jeanie M. Scott; Angela Laurio; Brian C. Sauer; Frank Drews; et al. (ICHI, 2022)

ExplainIt!: A Tool for Computing Robust Attributions of DNNs. - Sumit Kumar Jha 001; Alvaro Velasquez; Rickard Ewetz; Laura Pullum; Susmit Jha (IJCAI, 2022)

Review of Metrics to Measure the Stability, Robustness and Resilience of Reinforcement Learning. - Laura L. Pullum (CoRR, 2022)

Intelligence, Surveillance and Reconnaissance Task Specifications in Temporal Logics. - Laura L. Pullum; Sumit Kumar Jha 001; Rickard Ewetz (MILCOM, 2024)