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ORCIDAnna L. Buczak
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2020 – today
- 2023
[c18]Benjamin D. Kraske, Anshu Saksena, Anna L. Buczak, Zachary N. Sunberg:
Explanation Through Reward Model Reconciliation using POMDP Tree Search. ICAA 2023: 137-140- [i1]Benjamin D. Kraske, Anshu Saksena, Anna L. Buczak, Zachary N. Sunberg:
Explanation through Reward Model Reconciliation using POMDP Tree Search. CoRR abs/2305.00931 (2023) - 2022
- [j11]Anna L. Buczak, Benjamin D. Baugher, Christine S. Martin, Meg W. Keiley-Listermann, James Howard, Nathan H. Parrish, Anton Q. Stalick, Daniel S. Berman, Mark Dredze:
Crystal Cube: Forecasting Disruptive Events. Appl. Artif. Intell. 36(1) (2022) - [c17]Anna L. Buczak, Benjamin D. Baugher, Adam J. Berlier, Kayla E. Scharfstein, Christine S. Martin:
Explainable Forecasts of Disruptive Events using Recurrent Neural Networks. ICAA 2022: 64-73 - 2021
- [c16]Abhinav Chinta, Jingyu Zhang, Alexandra DeLucia
, Mark Dredze, Anna L. Buczak:
Study of Manifestation of Civil Unrest on Twitter. W-NUT 2021: 396-409 - 2020
- [c15]Justin Sech, Alexandra DeLucia, Anna L. Buczak, Mark Dredze:
Civil Unrest on Twitter (CUT): A Dataset of Tweets to Support Research on Civil Unrest. W-NUT@EMNLP 2020: 215-221 - [c14]Jeffrey S. Chavis, Anna L. Buczak, Aviel D. Rubin, Lanier A. Watkins:
Connected Home Automated Security Monitor (CHASM): Protecting IoT Through Application of Machine Learning. CCWC 2020: 684-690 - [c13]Jeffrey S. Chavis, Anna L. Buczak, Aaron Kunz, Aviel D. Rubin, Lanier A. Watkins:
A Capability for Autonomous IoT System Security: Pushing IoT Assurance to the Edge. SP (Workshops) 2020: 256-261
2010 – 2019
- 2019
- [j10]Daniel S. Berman, Anna L. Buczak, Jeffrey S. Chavis, Cherita L. Corbett:
A Survey of Deep Learning Methods for Cyber Security. Inf. 10(4): 122 (2019) - 2017
- [c12]Lanier A. Watkins, Sean Beck, Jared Zook, Anna L. Buczak, Jeffrey S. Chavis, William H. Robinson, Jose Andre Morales, Samuel Mishra:
Using semi-supervised machine learning to address the Big Data problem in DNS networks. CCWC 2017: 1-6 - [c11]Anna L. Buczak, Daniel S. Berman, Sean W. Yen, Lanier A. Watkins, Lien T. Duong, Jeffrey S. Chavis:
Using sequential pattern mining for common event format (CEF) cyber data. CISRC 2017: 2:1-2:4 - 2016
- [j9]Anna L. Buczak, Erhan Guven:
A Survey of Data Mining and Machine Learning Methods for Cyber Security Intrusion Detection. IEEE Commun. Surv. Tutorials 18(2): 1153-1176 (2016) - [j8]Linda J. Moniz, Anna L. Buczak, Benjamin Baugher, Erhan Guven, Jean-Paul Chretien:
Predicting influenza with dynamical methods. BMC Medical Informatics Decis. Mak. 16: 134 (2016) - [c10]Anna L. Buczak, Paul A. Hanke, George J. Cancro, Michael K. Toma, Lanier A. Watkins, Jeffrey S. Chavis:
Detection of Tunnels in PCAP Data by Random Forests. CISRC 2016: 16:1-16:4 - 2015
- [j7]Anna L. Buczak, Benjamin Baugher, Erhan Guven, Liane Ramac-Thomas, Yevgeniy Elbert, Steven M. Babin, Sheri Lewis:
Fuzzy association rule mining and classification for the prediction of malaria in South Korea. BMC Medical Informatics Decis. Mak. 15: 47 (2015) - 2013
- [c9]Erhan Guven, Anna L. Buczak:
An OpenCL Framework for Fuzzy Associative Classification and its Application to Disease Prediction. Complex Adaptive Systems 2013: 362-367 - 2012
- [j6]Anna L. Buczak, Phillip T. Koshute, Steven M. Babin, Brian H. Feighner, Sheryl H. Lewis:
A data-driven epidemiological prediction method for dengue outbreaks using local and remote sensing data. BMC Medical Informatics Decis. Mak. 12: 124 (2012) - 2010
- [j5]Anna L. Buczak, Steven M. Babin, Linda J. Moniz:
Data-driven approach for creating synthetic electronic medical records. BMC Medical Informatics Decis. Mak. 10: 59 (2010)
2000 – 2009
- 2009
- [c8]Anna L. Buczak, Linda J. Moniz, Brian H. Feighner, Joseph S. Lombardo:
Mining electronic medical records for patient care patterns. CIDM 2009: 146-153 - 2007
- [c7]Anna L. Buczak, Charles Wan, Glenn Petry:
SmartPortal for Biomedical Data Mining. CIDM 2007: 221-227 - 2006
- [j4]Anna L. Buczak, David G. Cooper, Martin O. Hofmann:
Evolutionary agent learning. Int. J. Gen. Syst. 35(2): 231-254 (2006) - [c6]Robert Kozma, Anna L. Buczak:
Biomedical Hypothesis Generation and Testing by Evolutionary Computation. DMIN 2006: 97-106 - 2005
- [c5]Anna L. Buczak, Benjamin Grooters, Paul Kogut, Eren Manavoglu, C. Lee Giles:
Recommender Systems for Intelligence Analysts. AAAI Spring Symposium: AI Technologies for Homeland Security 2005: 25-31 - [c4]Kshanti A. Greene, David G. Cooper, Anna L. Buczak, Michael Czajkowski, Jeffrey L. Vagle, Martin O. Hofmann:
Cognitive Agents for Sense and Respond Logistics. DAMAS 2005: 104-120 - 2004
- [c3]Henry (Hui) Wang, Anna L. Buczak, Hong Jin, Hongan Wang, Baosen Li:
Sensor Network Optimization by a Novel Genetic Algorithm. NPC 2004: 536-543 - [c2]Michael Czajkowski, Anna L. Buczak, Martin O. Hofmann:
Dynamic Agent Composition from Semantic Web Services. SWDB 2004: 27-40 - [p1]John Zimmerman, Kaushal Kauapati, Anna L. Buczak, Dave Schaffer, Srinivas Gutta, Jacquelyn Martino:
TV Personalization System. Personalized Digital Television 2004: 27-51 - 2003
- [j3]Houshang Darabi, Mohsen A. Jafari, Anna L. Buczak:
A control switching theory for supervisory control of discrete event systems. IEEE Trans. Robotics Autom. 19(1): 131-137 (2003) - 2001
- [j2]Anna L. Buczak, Henry (Hui) Wang, Houshang Darabi, Mohsen A. Jafari:
Genetic algorithm convergence study for sensor network optimization. Inf. Sci. 133(3-4): 267-282 (2001) - [c1]Anna L. Buczak, Henry (Hui) Wang:
Optimization of fitness functions with non-ordered parameters by genetic algorithms. CEC 2001: 199-206
1990 – 1999
- 1996
- [j1]Anna L. Buczak, Robert E. Uhrig:
Hybrid Fuzzy - Genetic Technique for Multisensor Fusion. Inf. Sci. 93(3): 265-281 (1996)
Coauthor Index
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