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ORCIDNeal Wagner
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2020 – today
- 2024
[j10]Neal Wagner:
Comparing the Complexity and Efficiency of Composable Modeling Techniques for Multi-Scale and Multi-Domain Complex System Modeling and Simulation Applications: A Probabilistic Analysis. Syst. 12(3): 96 (2024)- 2023
- [c20]Susan S. M. Hanson, Noah Mecikalski, Alex Tobias, Jack Morris, Neal Wagner, Rebecca S. Widrick, Damon Bayer:
A Discrete-Event Simulation to Explore Disaggregation of Biotechnology Research and Development Workflows. WSC 2023: 2789-2800 - 2021
- [j9]Neal Wagner, Sundhararajan, Le Hoang Son, Meng Joo:
Complex evolutionary artificial intelligence in cognitive digital twinning. J. Intell. Fuzzy Syst. 40(2): 2013-2016 (2021) - 2020
- [c19]Noah Demoes, Trang Nguyen, Jaime Peña, Neal Wagner:
Assessing Mission Performance for Technology Reliant Missions. HICSS 2020: 1-9
2010 – 2019
- 2019
- [c18]Allan B. Wollaber
, Jaime Peña, Benjamin Blease, Leslie Shing, Kenneth Alperin, Serge Vilvovsky, Pierre C. Trepagnier, Neal Wagner, Leslie Leonard:
Proactive Cyber Situation Awareness via High Performance Computing. HPEC 2019: 1-7 - 2018
- [j8]Bruno Bouchard, Kevin Bouchard, Noam Brown, Niyati Chhaya, Eitan Farchi, Sébastien Gaboury, Christopher W. Geib, Amelie Gyrard, Kokil Jaidka, Sarah Keren, Roni Khardon, Parisa Kordjamshidi, David R. Martinez, Nicholas Mattei, Martin Michalowski, Reuth Mirsky, Joseph C. Osborn, Cem Sahin, Onn Shehory, Arash Shaban-Nejad, Amit P. Sheth, Ilan Shimshoni, Howard E. Shrobe, Arunesh Sinha, Atanu R. Sinha, Biplav Srivastava, William W. Streilein, Georgios Theocharous, Kristen Brent Venable, Neal Wagner, Anna Zamansky:
Reports of the Workshops of the 32nd AAAI Conference on Artificial Intelligence. AI Mag. 39(4): 45-56 (2018) - [c17]Erik Hemberg, Joseph R. Zipkin, Richard William Skowyra, Neal Wagner, Una-May O'Reilly:
Adversarial co-evolution of attack and defense in a segmented computer network environment. GECCO (Companion) 2018: 1648-1655 - [c16]Sambit Bhattacharya, Rajeev Agrawal, Neal Wagner:
Application of deep learning and geo-knowledge bases to scene understanding. MEDES 2018: 74-79 - [c15]Brian Yarbrough, Neal Wagner:
Assessing security risk for wireless sensor networks under cyber attack. SpringSim (ANSS) 2018: 1:1-1:12 - 2017
- [j7]Monica Anderson, Roman Barták, John S. Brownstein, David L. Buckeridge, Hoda Eldardiry, Christopher W. Geib, Maria L. Gini, Aaron Isaksen, Sarah Keren, Robert Laddaga, Viliam Lisý, Rodney Martin, David R. Martinez, Martin Michalowski, Loizos Michael, Reuth Mirsky, Thanh Hai Nguyen, Michael J. Paul, Enrico Pontelli, Scott Sanner, Arash Shaban-Nejad, Arunesh Sinha, Shirin Sohrabi, Kumar Sricharan, Biplav Srivastava, Mark Stefik, William W. Streilein, Nathan R. Sturtevant, Kartik Talamadupula, Michael Thielscher, Julian Togelius, Tran Cao Son, Long Tran-Thanh, Neal Wagner, Byron C. Wallace, Szymon Wilk, Jichen Zhu:
Reports of the Workshops of the Thirty-First AAAI Conference on Artificial Intelligence. AI Mag. 38(3): 72-82 (2017) - [j6]Vikas Agrawal, Constance A. Lightner, Carin A. Lightner-Laws, Neal Wagner:
A bi-criteria evolutionary algorithm for a constrained multi-depot vehicle routing problem. Soft Comput. 21(17): 5159-5178 (2017) - [c14]Neal Wagner, Cem Safak Sahin, Jaime Peña, James Riordan, Sebastian Neumayer:
Capturing the security effects of network segmentation via a continuous-time markov chain model. SpringSim (ANSS) 2017: 17:1-17:12 - [c13]Neal Wagner, Cem Safak Sahin, Jaime Peña, William W. Streilein:
A nature-inspired decision system for secure cyber network architecture. SSCI 2017: 1-8 - 2016
- [j5]Carin A. Lightner-Laws, Vikas Agrawal, Constance A. Lightner, Neal Wagner:
An evolutionary algorithm approach for the constrained multi-depot vehicle routing problem. Int. J. Intell. Comput. Cybern. 9(1): 2-22 (2016) - [c12]Michael L. Winterrose, Kevin M. Carter, Neal Wagner, William W. Streilein:
Balancing Security and Performance for Agility in Dynamic Threat Environments. DSN 2016: 607-617 - [c11]Neal Wagner, Cem Safak Sahin, Diana Hanson, Jaime Peña, Era Vuksani, Brady Tello:
Quantitative analysis of the mission impact for host-level cyber defensive mitigations. SpringSim (ANSS) 2016: 2 - [c10]Neal Wagner, Cem Safak Sahin, Michael L. Winterrose, James Riordan, Jaime Peña, Diana Hanson, William W. Streilein:
Towards automated cyber decision support: A case study on network segmentation for security. SSCI 2016: 1-10 - 2015
- [c9]Ben W. Priest, Era Vuksani, Neal Wagner, Brady Tello, Kevin M. Carter, William W. Streilein:
Agent-based simulation in support of moving target cyber defense technology development and evaluation. SpringSim (CNS) 2015: 16-23 - [c8]Neal Wagner, Richard Lippmann, Michael L. Winterrose, James Riordan, Tamara Yu, William W. Streilein:
Agent-based simulation for assessing network security risk due to unauthorized hardware. SpringSim (ADS) 2015: 18-26 - [i2]Cem Safak Sahin, Robert Lychev, Neal Wagner:
General Framework for Evaluating Password Complexity and Strength. CoRR abs/1512.05814 (2015) - 2014
- [j4]Neal Wagner, Vikas Agrawal:
An agent-based simulation system for concert venue crowd evacuation modeling in the presence of a fire disaster. Expert Syst. Appl. 41(6): 2807-2815 (2014) - [i1]Michael L. Winterrose, Kevin M. Carter, Neal Wagner, William W. Streilein:
Adaptive Attacker Strategy Development Against Moving Target Cyber Defenses. CoRR abs/1407.8540 (2014) - 2013
- [j3]Neal Wagner, Vikas Agrawal:
Using an evolutionary algorithm to solve the weighted view materialisation problem for data warehouses. Int. J. Intell. Inf. Database Syst. 7(2): 163-179 (2013) - 2012
- [c7]Neal Wagner, Vikas Agrawal:
Emergency decision support using an agent-based modeling approach. ISI 2012: 186 - [p4]Arvind Mohais, Sven Schellenberg, Maksud Ibrahimov, Neal Wagner, Zbigniew Michalewicz:
An Evolutionary Approach to Practical Constraints in Scheduling: A Case-Study of the Wine Bottling Problem. Variants of Evolutionary Algorithms for Real-World Applications 2012: 31-58 - [p3]Sven Schellenberg, Arvind Mohais, Maksud Ibrahimov, Neal Wagner, Zbigniew Michalewicz:
A Fuzzy-Evolutionary Approach to the Problem of Optimisation and Decision-Support in Supply Chain Networks. Variants of Evolutionary Algorithms for Real-World Applications 2012: 143-166 - 2011
- [j2]Neal Wagner, Zbigniew Michalewicz, Sven Schellenberg, Constantin Chiriac, Arvind Mohais:
Intelligent techniques for forecasting multiple time series in real-world systems. Int. J. Intell. Comput. Cybern. 4(3): 284-310 (2011) - 2010
- [c6]Maksud Ibrahimov, Neal Wagner, Arvind Mohais, Sven Schellenberg, Zbigniew Michalewicz:
Comparison of cooperative and classical evolutionary algorithms for global supply chain optimisation. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c5]Arvind Mohais, Maksud Ibrahimov, Sven Schellenberg, Neal Wagner, Zbigniew Michalewicz:
Time-varying constraints and other practical problems in real-world scheduling applications. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c4]Sven Schellenberg, Arvind Mohais, Neal Wagner, Maksud Ibrahimov, Zbigniew Michalewicz:
Optimising supply chain networks by means of a hybridised simulation-based approach. IEEE Congress on Evolutionary Computation 2010: 1-6
2000 – 2009
- 2009
- [p2]Neal Wagner, Zbigniew Michalewicz:
Adaptive and Self-adaptive Techniques for Evolutionary Forecasting Applications Set in Dynamic and Uncertain Environments. Foundations of Computational Intelligence (4) 2009: 3-21 - 2008
- [c3]Neal Wagner, Zbigniew Michalewicz:
An analysis of adaptive windowing for time series forecasting in dynamic environments: further tests of the DyFor GP model. GECCO 2008: 1657-1664 - 2007
- [j1]Neal Wagner, Zbigniew Michalewicz, Moutaz J. Khouja, Rob Roy McGregor:
Time Series Forecasting for Dynamic Environments: The DyFor Genetic Program Model. IEEE Trans. Evol. Comput. 11(4): 433-452 (2007) - [c2]Emiliano Carreño Jara, Guillermo Leguizamón, Neal Wagner:
Evolution of classification rules for comprehensible knowledge discovery. IEEE Congress on Evolutionary Computation 2007: 1261-1268 - [p1]Neal Wagner, Zbigniew Michalewicz:
Parameter Adaptation for GP Forecasting Applications. Parameter Setting in Evolutionary Algorithms 2007: 295-309 - 2004
- [c1]Neal Wagner, Zbigniew Michalewicz, Moutaz J. Khouja, Rob Roy McGregor:
Forecasting with a Dynamic Window of Time: The DyFor Genetic Program Model. IMTCI 2004: 205-215
Coauthor Index
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last updated on 2024-10-07 21:23 CEST by the dblp team
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