Linda R. Petzold

ORCID

Publication Activity (10 Years)

Years Active: 1992-2024
Publications (10 Years): 69

Top Venues

Publications

Xianjun Yang, Stephen D. Wilson, Linda R. Petzold
Quokka: An Open-source Large Language Model ChatBot for Material Science. CoRR (2024)
Yuqing Wang, Yun Zhao, Linda R. Petzold
An empirical study on the robustness of the segment anything model (SAM). Pattern Recognit. 155 (2024)
Zhiyu Zoey Chen, Jing Ma, Xinlu Zhang, Nan Hao, An Yan, Armineh Nourbakhsh, Xianjun Yang, Julian J. McAuley, Linda R. Petzold, William Yang Wang
A Survey on Large Language Models for Critical Societal Domains: Finance, Healthcare, and Law. CoRR (2024)
Xianjun Yang, Xiao Wang, Qi Zhang, Linda R. Petzold, William Yang Wang, Xun Zhao, Dahua Lin
Shadow Alignment: The Ease of Subverting Safely-Aligned Language Models. CoRR (2023)
Xianjun Yang, Yujie Lu, Linda R. Petzold
Few-Shot Document-Level Event Argument Extraction. ACL (1) (2023)
Xianjun Yang, Kaiqiang Song, Sangwoo Cho, Xiaoyang Wang, Xiaoman Pan, Linda R. Petzold, Dong Yu
OASum: Large-Scale Open Domain Aspect-based Summarization. ACL (Findings) (2023)
Xianjun Yang, Wei Cheng, Xujiang Zhao, Linda R. Petzold, Haifeng Chen
Dynamic Prompting: A Unified Framework for Prompt Tuning. CoRR (2023)
Xianjun Yang, Wei Cheng, Linda R. Petzold, William Yang Wang, Haifeng Chen
DNA-GPT: Divergent N-Gram Analysis for Training-Free Detection of GPT-Generated Text. CoRR (2023)
Xianjun Yang, Kexun Zhang, Haifeng Chen, Linda R. Petzold, William Yang Wang, Wei Cheng
Zero-Shot Detection of Machine-Generated Codes. CoRR (2023)
Yuqing Wang, Yun Zhao, Linda R. Petzold
Are Large Language Models Ready for Healthcare? A Comparative Study on Clinical Language Understanding. MLHC (2023)
Xianjun Yang, Stephen Wilson, Linda R. Petzold
MatKB: Semantic Search for Polycrystalline Materials Synthesis Procedures. CoRR (2023)
Xianjun Yang, Liangming Pan, Xuandong Zhao, Haifeng Chen, Linda R. Petzold, William Yang Wang, Wei Cheng
A Survey on Detection of LLMs-Generated Content. CoRR (2023)
Colby Fronk, Jaewoong Yun, Prashant Singh, Linda R. Petzold
Bayesian polynomial neural networks and polynomial neural ordinary differential equations. CoRR (2023)
Yuqing Wang, Yun Zhao, Linda R. Petzold
An Empirical Study on the Robustness of the Segment Anything Model (SAM). CoRR (2023)
Xianjun Yang, Ya Zhuo, Julia Zuo, Xinlu Zhang, Stephen Wilson, Linda R. Petzold
PcMSP: A Dataset for Scientific Action Graphs Extraction from Polycrystalline Materials Synthesis Procedure Text. CoRR (2022)
Haotian Xia, Rhys Tracy, Yun Zhao, Erwan Fraisse, Yuan-Fang Wang, Linda R. Petzold
VREN: Volleyball Rally Dataset with Expression Notation Language. CoRR (2022)
Xianjun Yang, Yujie Lu, Linda R. Petzold
Few-Shot Document-Level Event Argument Extraction. CoRR (2022)
Yuqing Wang, Yun Zhao, Rachael Callcut, Linda R. Petzold
Integrating Physiological Time Series and Clinical Notes with Transformer for Early Prediction of Sepsis. CoRR (2022)
Colby Fronk, Linda R. Petzold
Interpretable Polynomial Neural Ordinary Differential Equations. CoRR (2022)
Bilal Shaikh, Lucian P. Smith, Dan Vasilescu, Gnaneswara Marupilla, Michael Wilson, Eran Agmon, Henry Agnew, Steven S. Andrews, Azraf Anwar, Moritz E. Beber, Frank T. Bergmann, David Brooks, Lutz Brusch, Laurence Calzone, Kiri Choi, Joshua Cooper, John Detloff, Brian Drawert, Michel Dumontier, G. Bard Ermentrout, James R. Faeder, Andrew P. Freiburger, Fabian Fröhlich, Akira Funahashi, Alan Garny, John H. Gennari, Padraig Gleeson, Anne Goelzer, Zachary Haiman, Jan Hasenauer, Joseph L. Hellerstein, Henning Hermjakob, Stefan Hoops, Jon C. Ison, Diego Jahn, Henry V. Jakubowski, Ryann Jordan, Matús Kalas, Matthias König, Wolfram Liebermeister, Rahuman S. Malik-Sheriff, Synchon Mandal, Robert McDougal, J. Kyle Medley, Pedro Mendes, Robert Müller, Chris J. Myers, Aurélien Naldi, Tung V. N. Nguyen, David P. Nickerson, Brett G. Olivier, Drashti Patoliya, Loïc Paulevé, Linda R. Petzold, Ankita Priya, Anand K. Rampadarath, Johann M. Rohwer, Ali S. Saglam, Dilawar Singh, Ankur Sinha, Jacky L. Snoep, Hugh Sorby, Ryan K. Spangler, Jörn Starruß, Payton J. Thomas, David van Niekerk, Daniel Weindl, Fengkai Zhang, Anna Zhukova, Arthur P. Goldberg, James C. Schaff, Michael L. Blinov, Herbert M. Sauro, Ion I. Moraru, Jonathan R. Karr
BioSimulators: a central registry of simulation engines and services for recommending specific tools. Nucleic Acids Res. 50 (W1) (2022)
Bilal Shaikh, Lucian P. Smith, Dan Vasilescu, Gnaneswara Marupilla, Michael Wilson, Eran Agmon, Henry Agnew, Steven S. Andrews, Azraf Anwar, Moritz E. Beber, Frank T. Bergmann, David Brooks, Lutz Brusch, Laurence Calzone, Kiri Choi, Joshua Cooper, John Detloff, Brian Drawert, Michel Dumontier, G. Bard Ermentrout, James R. Faeder, Andrew P. Freiburger, Fabian Fröhlich, Akira Funahashi, Alan Garny, John H. Gennari, Padraig Gleeson, Anne Goelzer, Zachary Haiman, Joseph L. Hellerstein, Stefan Hoops, Jon C. Ison, Diego Jahn, Henry V. Jakubowski, Ryann Jordan, Matús Kalas, Matthias König, Wolfram Liebermeister, Synchon Mandal, Robert McDougal, J. Kyle Medley, Pedro Mendes, Robert Müller, Chris J. Myers, Aurélien Naldi, Tung V. N. Nguyen, David P. Nickerson, Brett G. Olivier, Drashti Patoliya, Loïc Paulevé, Linda R. Petzold, Ankita Priya, Anand K. Rampadarath, Johann M. Rohwer, Ali S. Saglam, Dilawar Singh, Ankur Sinha, Jacky Snoep, Hugh Sorby, Ryan K. Spangler, Jörn Starruß, Payton J. Thomas, David van Niekerk, Daniel Weindl, Fengkai Zhang, Anna Zhukova, Arthur P. Goldberg, Michael L. Blinov, Herbert M. Sauro, Ion I. Moraru, Jonathan R. Karr
BioSimulators: a central registry of simulation engines and services for recommending specific tools. CoRR (2022)
Fredrik Wrede, Robin Eriksson, Richard M. Jiang, Linda R. Petzold, Stefan Engblom, Andreas Hellander, Prashant Singh
Robust and integrative Bayesian neural networks for likelihood-free parameter inference. IJCNN (2022)
Xianjun Yang, Ya Zhuo, Julia Zuo, Xinlu Zhang, Stephen Wilson, Linda R. Petzold
PcMSP: A Dataset for Scientific Action Graphs Extraction from Polycrystalline Materials Synthesis Procedure Text. EMNLP (Findings) (2022)
Richard M. Jiang, Prashant Singh, Fredrik Wrede, Andreas Hellander, Linda R. Petzold
Identification of dynamic mass-action biochemical reaction networks using sparse Bayesian methods. PLoS Comput. Biol. 18 (1) (2022)
Xinlu Zhang, Shiyang Li, Zhiyu Chen, Xifeng Yan, Linda R. Petzold
Improving Medical Predictions by Irregular Multimodal Electronic Health Records Modeling. CoRR (2022)
Yuqing Wang, Yun Zhao, Linda R. Petzold
Predicting the Need for Blood Transfusion in Intensive Care Units with Reinforcement Learning. CoRR (2022)
Yuqing Wang, Yun Zhao, Linda R. Petzold
Enhancing Transformer Efficiency for Multivariate Time Series Classification. CoRR (2022)
Xianjun Yang, Kaiqiang Song, Sangwoo Cho, Xiaoyang Wang, Xiaoman Pan, Linda R. Petzold, Dong Yu
OASum: Large-Scale Open Domain Aspect-based Summarization. CoRR (2022)
Haotian Xia, Rhys Tracy, Yun Zhao, Erwan Fraisse, Yuan-Fang Wang, Linda R. Petzold
VREN: Volleyball Rally Dataset with Expression Notation Language. ICKG (2022)
Yuqing Wang, Yun Zhao, Linda R. Petzold
Predicting the need for blood transfusion in intensive care units with reinforcement learning. BCB (2022)
Fredrik Wrede, Robin Eriksson, Richard M. Jiang, Linda R. Petzold, Stefan Engblom, Andreas Hellander, Prashant Singh
Robust and integrative Bayesian neural networks for likelihood-free parameter inference. CoRR (2021)
Xinlu Zhang, Yun Zhao, Rachael Callcut, Linda R. Petzold
Multiple Organ Failure Prediction with Classifier-Guided Generative Adversarial Imputation Networks. CoRR (2021)
Yun Zhao, Yuqing Wang, Junfeng Liu, Haotian Xia, Zhenni Xu, Qinghang Hong, Zhiyang Zhou, Linda R. Petzold
Empirical Quantitative Analysis of COVID-19 Forecasting Models. ICDM (Workshops) (2021)
Richard M. Jiang, Fredrik Wrede, Prashant Singh, Andreas Hellander, Linda R. Petzold
Accelerated regression-based summary statistics for discrete stochastic systems via approximate simulators. BMC Bioinform. 22 (1) (2021)
Richard M. Jiang, Arya A. Pourzanjani, Mitchell J. Cohen, Linda R. Petzold
Associations of longitudinal D-Dimer and Factor II on early trauma survival risk. BMC Bioinform. 22 (1) (2021)
Samhita P. Banavar, Michael Trogdon, Brian Drawert, Tau-Mu Yi, Linda R. Petzold, Otger Campàs
Coordinating cell polarization and morphogenesis through mechanical feedback. PLoS Comput. Biol. 17 (1) (2021)
Yun Zhao, Qinghang Hong, Xinlu Zhang, Yu Deng, Yuqing Wang, Linda R. Petzold
BERTSurv: BERT-Based Survival Models for Predicting Outcomes of Trauma Patients. CoRR (2021)
Xianjun Yang, Xinlu Zhang, Julia Zuo, Stephen Wilson, Linda R. Petzold
An Analysis of Relation Extraction within Sentences from Wet Lab Protocols. IEEE BigData (2021)
Yun Zhao, Yuqing Wang, Junfeng Liu, Haotian Xia, Zhenni Xu, Qinghang Hong, Zhiyang Zhou, Linda R. Petzold
Empirical Quantitative Analysis of COVID-19 Forecasting Models. CoRR (2021)
Xinlu Zhang, Shiyang Liy, Zhuowei Chengy, Rachael Callcut, Linda R. Petzold
Domain Adaptation for Trauma Mortality Prediction in EHRs with Feature Disparity. BIBM (2021)
Yuqing Wang, Yun Zhao, Rachael Callcut, Linda R. Petzold
Empirical Analysis of Machine Learning Configurations for Prediction of Multiple Organ Failure in Trauma Patients. CoRR (2021)
Yun Zhao, Franklin Ly, Qinghang Hong, Zhuowei Cheng, Tyler Santander, Henry T. Yang, Paul K. Hansma, Linda R. Petzold
How Much Does It Hurt: A Deep Learning Framework for Chronic Pain Score Assessment. CoRR (2020)
Yun Zhao, Richard M. Jiang, Zhenni Xu, Elmer Guzman, Paul K. Hansma, Linda R. Petzold
Scalable Bayesian Functional Connectivity Inference for Multi-Electrode Array Recordings. CoRR (2020)
Yun Zhao, Franklin Ly, Qinghang Hong, Zhuowei Cheng, Tyler Santander, Henry T. Yang, Paul K. Hansma, Linda R. Petzold
How Much Does It Hurt: A Deep Learning Framework for Chronic Pain Score Assessment. ICDM (Workshops) (2020)
James Bird, Linda R. Petzold, Philip Lubin, Dulia Deacon
Advances in Deep Space Exploration via Simulators & Deep Learning. CoRR (2020)
James Bird, Kellan Colburn, Linda R. Petzold, Philip Lubin
Model Optimization for Deep Space Exploration via Simulators and Deep Learning. CoRR (2020)
Hamed O. Ghaffari, Samuel C. Grant, Linda R. Petzold, Michael G. Harrington
Regulation of CSF and Brain Tissue Sodium Levels by the Blood-CSF and Blood-Brain Barriers During Migraine. Frontiers Comput. Neurosci. 14 (2020)
Yun Zhao, Elmer Guzman, Morgane Audouard, Zhuowei Cheng, Paul K. Hansma, Kenneth S. Kosik, Linda R. Petzold
A Deep Learning Framework for Classification of in vitro Multi-Electrode Array Recordings. CoRR (2019)
Brian Drawert, Bruno Jacob, Zhen Li, Tau-Mu Yi, Linda R. Petzold
A hybrid smoothed dissipative particle dynamics (SDPD) spatial stochastic simulation algorithm (sSSA) for advection-diffusion-reaction problems. J. Comput. Phys. 378 (2019)
Mark S. Alber, Adrian Buganza Tepole, William R. Cannon, Suvranu De, Salvador Dura-Bernal, Krishna C. Garikipati, George E. Karniadakis, William W. Lytton, Paris Perdikaris, Linda R. Petzold, Ellen Kuhl
Integrating machine learning and multiscale modeling - perspectives, challenges, and opportunities in the biological, biomedical, and behavioral sciences. npj Digit. Medicine 2 (2019)
Brian A. Mitchell, Nina Lauharatanahirun, Javier O. Garcia, Nicholas F. Wymbs, Scott T. Grafton, Jean M. Vettel, Linda R. Petzold
A Minimum Free Energy Model of Motor Learning. Neural Comput. 31 (10) (2019)
Yun Zhao, Elmer Guzman, Morgane Audouard, Zhuowei Cheng, Paul K. Hansma, Kenneth S. Kosik, Linda R. Petzold
A Deep Learning Framework for Classification of in vitro Multi-Electrode Array Recordings. ICDM (Posters) (2019)
Mahnaz Koupaee, Yuanyang Zhang, Tie Bo Wu, Mitchell J. Cohen, Linda R. Petzold
Identification of Disease States for Trauma Patients using Commonly Available Hospital Data. ICCABS (2018)
Michael Trogdon, Brian Drawert, Carlos Gomez, Samhita P. Banavar, Tau-Mu Yi, Otger Campàs, Linda R. Petzold
The effect of cell geometry on polarization in budding yeast. PLoS Comput. Biol. 14 (6) (2018)
Samhita P. Banavar, Carlos Gomez, Michael Trogdon, Linda R. Petzold, Tau-Mu Yi, Otger Campàs
Mechanical feedback coordinates cell wall expansion and assembly in yeast mating morphogenesis. PLoS Comput. Biol. 14 (1) (2018)
Abolfazl Doostparast Torshizi, Linda R. Petzold
Graph-based semi-supervised learning with genomic data integration using condition-responsive genes applied to phenotype classification. J. Am. Medical Informatics Assoc. 25 (1) (2018)
Abolfazl Doostparast Torshizi, Linda R. Petzold
Sparse Pathway-Induced Dynamic Network Biomarker Discovery for Early Warning Signal Detection in Complex Diseases. IEEE ACM Trans. Comput. Biol. Bioinform. 15 (3) (2018)
Yuanyang Zhang, Richard M. Jiang, Linda R. Petzold
Survival Topic Models for Predicting Outcomes for Trauma Patients. ICDE (2017)
Abolfazl Doostparast Torshizi, Linda R. Petzold, Mitchell J. Cohen
Multivariate soft repulsive system identification for constructing rule-based classification systems: Application to trauma clinical data. Neurocomputing 245 (2017)
Arya A. Pourzanjani, Tie Bo Wu, Richard M. Jiang, Mitchell J. Cohen, Linda R. Petzold
Understanding Coagulopathy using Multi-view Data in the Presence of Sub-Cohorts: A Hierarchical Subspace Approach. MLHC (2017)
Rone Kwei Lim, Linda R. Petzold, Çetin Kaya Koç
Bitsliced High-Performance AES-ECB on GPUs. The New Codebreakers (2016)
Yuanyang Zhang, Tie Bo Wu, Bernie J. Daigle Jr., Mitchell J. Cohen, Linda R. Petzold
Identification of disease states associated with coagulopathy in trauma. BMC Medical Informatics Decis. Mak. 16 (2016)
Ulrich Rüde, Karen Willcox, Lois Curfman McInnes, Hans De Sterck, George Biros, Hans-Joachim Bungartz, James Corones, Evin Cramer, James Crowley, Omar Ghattas, Max D. Gunzburger, Michael Hanke, Robert J. Harrison, Michael A. Heroux, Jan S. Hesthaven, Peter K. Jimack, Chris Johnson, Kirk E. Jordan, David E. Keyes, Rolf H. Krause, Vipin Kumar, Stefan Mayer, Juan Meza, Knut Martin Mørken, J. Tinsley Oden, Linda R. Petzold, Padma Raghavan, Suzanne M. Shontz, Anne E. Trefethen, Peter R. Turner, Vladimir V. Voevodin, Barbara I. Wohlmuth, Carol S. Woodward
Research and Education in Computational Science and Engineering. CoRR (2016)
Brian Drawert, Andreas Hellander, Benjamin B. Bales, Debjani Banerjee, Giovanni Bellesia, Bernie J. Daigle Jr., Geoffrey Douglas, Mengyuan Gu, Anand Gupta, Stefan Hellander, Christopher B. Horuk, Dibyendu Nath, Aviral Takkar, Sheng Wu, Per Lötstedt, Chandra Krintz, Linda R. Petzold
Stochastic Simulation Service: Bridging the Gap between the Computational Expert and the Biologist. PLoS Comput. Biol. 12 (12) (2016)
Kasturi Bhattacharjee, Linda R. Petzold
What Drives Consumer Choices? Mining Aspects and Opinions on Large Scale Review Data Using Distributed Representation of Words. ICDM Workshops (2016)
Brian A. Mitchell, Linda R. Petzold
Multi-View Treelet Transform. CoRR (2016)
Brian Drawert, Michael Trogdon, Salman Zubair Toor, Linda R. Petzold, Andreas Hellander
MOLNs: A Cloud Platform for Interactive, Reproducible, and Scalable Spatial Stochastic Computational Experiments in Systems Biology Using PyURDME. SIAM J. Sci. Comput. 38 (3) (2016)
Rone Kwei Lim, J. William Pro, Matthew R. Begley, Marcel Utz, Linda R. Petzold
High-performance simulation of fracture in idealized 'brick and mortar' composites using adaptive Monte Carlo minimization on the GPU. Int. J. High Perform. Comput. Appl. 30 (2) (2016)
Mahdi Golkaram, Stefan Hellander, Brian Drawert, Linda R. Petzold
Macromolecular Crowding Regulates the Gene Expression Profile by Limiting Diffusion. PLoS Comput. Biol. 12 (11) (2016)
Abolfazl Doostparast Torshizi, Linda R. Petzold, Mitchell J. Cohen
Direct higher order fuzzy rule-based classification system: Application in mortality prediction. BIBM (2015)
Yuanyang Zhang, Bernie J. Daigle Jr., Mitchell J. Cohen, Linda R. Petzold
A Cure Time Model for Joint Prediction of Outcome and Time-to-Outcome. ICDM (2015)
Brian Drawert, Michael Trogdon, Salman Zubair Toor, Linda R. Petzold, Andreas Hellander
MOLNs: A cloud platform for interactive, reproducible and scalable spatial stochastic computational experiments in systems biology using PyURDME. CoRR (2015)
Bernie J. Daigle Jr., Mohammad Soltani, Linda R. Petzold, Abhyudai Singh
Inferring single-cell gene expression mechanisms using stochastic simulation. Bioinform. 31 (9) (2015)
Kasturi Bhattacharjee, Linda R. Petzold
Detecting Opinions in a Temporally Evolving Conversation on Twitter. SocInfo (2015)
Andreas Hellander, Michael J. Lawson, Brian Drawert, Linda R. Petzold
Local error estimates for adaptive simulation of the reaction-diffusion master equation via operator splitting. J. Comput. Phys. 266 (2014)
Andri Bezzola, Benjamin B. Bales, Richard C. Alkire, Linda R. Petzold
An exact and efficient first passage time algorithm for reaction-diffusion processes on a 2D-lattice. J. Comput. Phys. 256 (2014)
Marc Griesemer, Carissa Young, Anne S. Robinson, Linda R. Petzold
BiP Clustering Facilitates Protein Folding in the Endoplasmic Reticulum. PLoS Comput. Biol. 10 (7) (2014)
Kasturi Bhattacharjee, Linda R. Petzold
Probabilistic User-Level Opinion Detection on Online Social Networks. SocInfo (2014)
Christopher B. Horuk, Geoffrey Douglas, Anand Gupta, Chandra Krintz, Benjamin B. Bales, Giovanni Bellesia, Brian Drawert, Rich Wolski, Linda R. Petzold, Andreas Hellander
Automatic and portable cloud deployment for scientific simulations. HPCS (2014)
Jin Fu, Sheng Wu, Hong Li, Linda R. Petzold
The time dependent propensity function for acceleration of spatial stochastic simulation of reaction-diffusion systems. J. Comput. Phys. 274 (2014)
Ruoting Yang, Bernie J. Daigle Jr., Seid Y. Muhie, Rasha Hammamieh, Marti Jett, Linda R. Petzold, Francis J. Doyle III
Core modular blood and brain biomarkers in social defeat mouse model for post traumatic stress disorder. BMC Syst. Biol. 7 (2013)
Jin Fu, Sheng Wu, Linda R. Petzold
Time dependent solution for acceleration of tau-leaping. J. Comput. Phys. 235 (2013)
Andreas Hellander, Michael J. Lawson, Brian Drawert, Linda R. Petzold
Local error estimates for adaptive simulation of the Reaction-Diffusion Master Equation via operator splitting CoRR (2013)
Michael J. Lawson, Brian Drawert, Mustafa Khammash, Linda R. Petzold, Tau-Mu Yi
Spatial Stochastic Dynamics Enable Robust Cell Polarization. PLoS Comput. Biol. 9 (7) (2013)
Kathy Macropol, Petko Bogdanov, Ambuj K. Singh, Linda R. Petzold, Xifeng Yan
I act, therefore I judge: network sentiment dynamics based on user activity change. ASONAM (2013)
Bernie J. Daigle Jr., Min K. Roh, Linda R. Petzold, Jarad Niemi
Accelerated maximum likelihood parameter estimation for stochastic biochemical systems. BMC Bioinform. 13 (2012)
Chris Bunch, Brian Drawert, Navraj Chohan, Chandra Krintz, Linda R. Petzold, Khawaja S. Shams
Language and Runtime Support for Automatic Configuration and Deployment of Scientific Computing Software over Cloud Fabrics. J. Grid Comput. 10 (1) (2012)
Linda R. Petzold, Chandra Krintz
Stochastic Simulation Service: Towards an Integrated Development Environment for Modeling and Simulation of Stochastic Biochemical Systems. SC Companion (2012)
Per-Olov Östberg, Andreas Hellander, Brian Drawert, Erik Elmroth, Sverker Holmgren, Linda R. Petzold
Reducing Complexity in Management of eScience Computations. CCGRID (2012)
Per-Olov Östberg, Andreas Hellander, Brian Drawert, Erik Elmroth, Sverker Holmgren, Linda R. Petzold
Abstractions for Scaling eScience Applications to Distributed Computing Environments - A StratUm Integration Case Study in Molecular Systems Biology. BIOINFORMATICS (2012)
Ruoting Yang, Bernie J. Daigle Jr., Linda R. Petzold, Francis J. Doyle III
Core module biomarker identification with network exploration for breast cancer metastasis. BMC Bioinform. 13 (2012)
Kevin R. Sanft, Sheng Wu, Min K. Roh, Jin Fu, Rone Kwei Lim, Linda R. Petzold
StochKit2: software for discrete stochastic simulation of biochemical systems with events. Bioinform. 27 (17) (2011)
Peter R. Turner, Linda R. Petzold, Angela B. Shiflet, Ignatios Vakalis, Kirk E. Jordan, Samuel St. John
Undergraduate Computational Science and Engineering Education. SIAM Rev. 53 (3) (2011)
Hong Li, Linda R. Petzold
Efficient Parallelization of the Stochastic Simulation Algorithm for Chemically Reacting Systems On the Graphics Processing Unit. Int. J. High Perform. Comput. Appl. 24 (2) (2010)
Matthew Buoni, Linda R. Petzold
An algorithm for simulation of electrochemical systems with surface-bulk coupling strategies. J. Comput. Phys. 229 (2) (2010)
Camilla Luni, Jason E. Shoemaker, Kevin R. Sanft, Linda R. Petzold, Francis J. Doyle III
Confidence from uncertainty - A multi-target drug screening method from robust control theory. BMC Syst. Biol. 4 (2010)
Hong Li, Allison Kolpas, Linda R. Petzold, Jeff Moehlis
Parallel simulation for a fish schooling model on a general-purpose graphics processing unit. Concurr. Comput. Pract. Exp. 21 (6) (2009)
Sotiria Lampoudi, Daniel T. Gillespie, Linda R. Petzold
Effect of excluded volume on 2D discrete stochastic chemical kinetics. J. Comput. Phys. 228 (10) (2009)
Stephen L. Campbell, Vu Hoang Linh, Linda R. Petzold
Differential-algebraic equations. Scholarpedia 3 (8) (2008)
Stephanie R. Taylor, Rudiyanto Gunawan, Linda R. Petzold, Francis J. Doyle III
Sensitivity Measures for Oscillating Systems: Application to Mammalian Circadian Gene Network. IEEE Trans. Autom. Control. 53 (2008)

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Publication Activity (10 Years)

Top Topics

Top Venues

Linda R. Petzold