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ORCIDGalina L. Rogova
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2020 – today
- 2024
[c26]Galina L. Rogova, Judith D. Cohn, Kari Sentz:
Knowledge Ontology of Information Quality for Information Fusion. CogSIMA 2024: 39-46- 2023
- [c25]Michele Somero, Lauro Snidaro, Galina L. Rogova:
Deep Classifiers Evidential Fusion with Reliability. FUSION 2023: 1-7 - 2022
- [c24]Michele Somero, Lauro Snidaro, Galina L. Rogova:
Evidential Decision Fusion of Deep Neural Networks for Covid Diagnosis. FUSION 2022: 1-8 - 2020
- [c23]Galina L. Rogova, Roman Ilin:
Decision Making with "Gray Swan" events. CogSIMA 2020: 12-19 - [e6]Galina Rogova, Nicolette M. McGeorge, Alicia Ruvinsky, Scott Fouse, Mary D. Freiman:
IEEE Conference on Cognitive and Computational Aspects of Situation Management, CogSIMA 2020, Victoria, BC, Canada, August 24-29, 2020. IEEE 2020, ISBN 978-1-7281-6001-6 [contents]
2010 – 2019
- 2019
- [c22]Galina L. Rogova, Roman Ilin:
Reasoning and Decision Making under Uncertainty and Risk for Situation Management. CogSIMA 2019: 34-42 - [c21]Galina L. Rogova, Roman Ilin:
Multi-Agent System for Threat Assessment and Action Selection under Uncertainty and Ambiguity. FUSION 2019: 1-8 - [p9]Galina L. Rogova:
Information Quality in Fusion-Driven Human-Machine Environments. Information Quality in Information Fusion and Decision Making 2019: 3-29 - [p8]Galina L. Rogova, Lauro Snidaro:
Quality, Context, and Information Fusion. Information Quality in Information Fusion and Decision Making 2019: 219-242 - [e5]Éloi Bossé, Galina L. Rogova:
Information Quality in Information Fusion and Decision Making. Springer 2019, ISBN 978-3-030-03642-3 [contents] - [e4]Galina L. Rogova, Nicolette M. McGeorge, Odd Erik Gundersen, Kellyn Rein, Mary D. Freiman:
IEEE Conference on Cognitive and Computational Aspects of Situation Management, CogSIMA 2019, Las Vegas, NV, USA, April 8-11, 2019. IEEE 2019, ISBN 978-1-5386-9599-9 [contents] - 2018
- [c20]Galina L. Rogova, Roman Ilin:
Action Selection Under Uncertainty and Risk Involving High Consequence Rare Events. CogSIMA 2018: 8-14 - [c19]Roman Ilin, Galina L. Rogova:
Multi-Model Threat Assessment Involving Low Probability High Consequence Events. FUSION 2018: 1836-1843 - [c18]Galina L. Rogova, Lauro Snidaro:
Considerations of Context and Quality in Information Fusion. FUSION 2018: 1925-1932 - [e3]Galina L. Rogova, Christian Lebiere, Odd Erik Gundersen, Andrea Salfinger, Ken Baclawski:
IEEE Conference on Cognitive and Computational Aspects of Situation Management, CogSIMA 2018, Boston, MA, USA, June 11-14, 2018. IEEE 2018 [contents] - 2017
- [c17]Roman Ilin, Galina L. Rogova:
Decision-making involving low probability high consequence events under risk and uncertainty. CogSIMA 2017: 1-5 - [p7]James Llinas, Galina Rogova, Kevin Barry, Rachel Hingst, Peter Gerken, Alicia Ruvinsky:
Reexamining Computational Support for Intelligence Analysis: A Functional Design for a Future Capability. Autonomy and Artificial Intelligence 2017: 13-46 - 2016
- [c16]Galina Rogova, Ronald R. Yager:
Belief-based argumentation and golden rule for decision making with soft and hard information. FUSION 2016: 790-797 - [c15]James Llinas, Galina Rogova:
Belief-Based Argumentation in Intelligence Analysis and Decision Making. PAAMS (Workshops) 2016: 333-340 - [p6]Galina L. Rogova, Alan N. Steinberg:
Formalization of "Context" for Information Fusion. Context-Enhanced Information Fusion 2016: 27-43 - [p5]Alan N. Steinberg, Galina L. Rogova:
System-Level Use of Contextual Information. Context-Enhanced Information Fusion 2016: 157-183 - [p4]Galina Rogova, James Llinas:
Arguing About Uncertain Heterogeneous Information for Threat Assessment. Meeting Security Challenges Through Data Analytics and Decision Support 2016: 3-17 - [e2]Elisa Shahbazian, Galina Rogova:
Meeting Security Challenges Through Data Analytics and Decision Support. NATO Science for Peace and Security Series - D: Information and Communication Security 47, IOS Press 2016, ISBN 978-1-61499-715-3 [contents] - 2015
- [j6]Juan Gómez-Romero
, Miguel A. Serrano, Jesús García, José M. Molina, Galina L. Rogova:
Context-based multi-level information fusion for harbor surveillance. Inf. Fusion 21: 173-186 (2015) - [c14]Galina L. Rogova, James Llinas, Geoff A. Gross:
Belief-based hybrid argumentation for threat assessment. CogSIMA 2015: 179-185 - [c13]Galina L. Rogova, Marcus I. Bursik, Solene Pouget:
Learning under uncertainty for interpreting the pattern of volcanic eruptions. FUSION 2015: 375-382 - 2014
- [c12]Galina L. Rogova:
Adaptive real-time threat assessment under uncertainty and conflict. CogSIMA 2014: 59-65 - 2013
- [c11]Galina Rogova, Melita Hadzagic, Marie-Odette St-Hilaire, Mihai Cristian Florea, Pierre Valin:
Context-based information quality for sequential decision making. CogSIMA 2013: 16-21 - 2011
- [c10]Jesús García, Juan Gómez-Romero, Miguel A. Patricio, José M. Molina, Galina L. Rogova:
On the representation and exploitation of context knowledge in a harbor surveillance scenario. FUSION 2011: 1-8 - 2010
- [c9]Galina L. Rogova, Éloi Bossé:
Information quality in information fusion. FUSION 2010: 1-8 - [p3]Galina Rogova:
Information Quality and Decision Making in the Human-in-the-loop Environment. Human Systems Integration to Enhance Maritime Domain Awareness for Port/Harbour Security 2010: 103-111 - [p2]Valerio de Divitiis, Melissa R. Ho, Galina Rogova, Alexander Smirnov, Alan N. Steinberg, Ingrid Visentini, Hans Wehn:
A Methodology for Designing a Human/Machine Information System to Support Harbour Security: NATO ARW Group Two Report. Human Systems Integration to Enhance Maritime Domain Awareness for Port/Harbour Security 2010: 207-216 - [e1]Elisa Shahbazian, Galina Rogova:
Human Systems Integration to Enhance Maritime Domain Awareness for Port/Harbour Security. NATO Science for Peace and Security Series - D: Information and Communication Security 28, IOS Press 2010, ISBN 978-1-60750-620-1 [contents]
2000 – 2009
- 2009
- [j5]Eric G. Little, Galina L. Rogova:
Designing ontologies for higher level fusion. Inf. Fusion 10(1): 70-82 (2009) - 2008
- [j4]Galina L. Rogova, Marcus I. Bursik, Sara Hanson-Hedgecock:
Intelligent System for Interpreting the Pattern of Volcanic Eruptions. J. Adv. Inf. Fusion 3(2): 118-128 (2008) - [c8]Alan N. Steinberg, Galina Rogova:
Situation and context in data fusion and natural language understanding. FUSION 2008: 1-8 - [p1]Galina L. Rogova:
Combining the Results of Several Neural Network Classifiers. Classic Works of the Dempster-Shafer Theory of Belief Functions 2008: 683-692 - 2007
- [c7]Galina L. Rogova, Marcus I. Bursik, Sara Hanson-Hedgecock:
Interpreting the pattern of volcano eruptions: Intelligent system for tephra layer correlation. FUSION 2007: 1-7 - 2006
- [j3]Marcus I. Bursik, Galina L. Rogova:
Use of neural networks and decision fusion for lithostratigraphic correlation with sparse data, Mono-Inyo Craters, California. Comput. Geosci. 32(10): 1564-1572 (2006) - [c6]Eric G. Little, Galina L. Rogova:
An Ontological Analysis of Threat and Vulnerability. FUSION 2006: 1-8 - [c5]Galina L. Rogova, Peter D. Scott, Carlos Lollett, Rashmi Mudiyanur:
Reasoning about situations in the early post-disaster response environment. FUSION 2006: 1-8 - 2002
- [j2]Galina L. Rogova, Paul C. Stomper:
Information fusion approach to microcalcification characterization. Inf. Fusion 3(2): 91-102 (2002)
1990 – 1999
- 1999
- [c4]Galina L. Rogova, Chih-Chung Ke, Raj S. Acharya, Paul C. Stomper:
Feature choice for detection of cancerous masses by constrained optimization. Medical Imaging: Image Processing 1999 - [c3]Galina L. Rogova, Paul C. Stomper, Chih-Chung Ke:
Microcalcification texture analysis in a hybrid system for computer-aided mammography. Medical Imaging: Image Processing 1999 - 1998
- [c2]Galina L. Rogova, Paul C. Stomper, Scott Snowden, Chih-Chung Ke, Vivek Swarnakar, Tariq Hameed:
Evidential Approach to Improved Microcalcification Characterization. Digital Mammography / IWDM 1998: 245-248 - [c1]Galina L. Rogova, Chih-Chung Ke, Vivek Swarnakar, Raj S. Acharya, Paul C. Stomper:
Constrained-optimization framework for detection of masses. Medical Imaging: Image Processing 1998 - 1994
- [j1]Galina L. Rogova:
Combining the results of several neural network classifiers. Neural Networks 7(5): 777-781 (1994)
Coauthor Index
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