Kuo-Chu Chang

65 papers A* 2A 4B 2C 30Misc 1Journal 21Unranked 5
YearRankTypeTitle / Venue / Authors
2025 J jnl
Probabilistic GOSPA: A Metric for Performance Evaluation of Multiobject Filters With Uncertainties.
IEEE Trans. Aerosp. Electron. Syst.
Yuxuan Xia, Ángel F. García-Fernández, Johan Karlsson, Kuo-Chu Chang, Ting Yuan, Lennart Svensson
2024 J jnl
A Two-Stage Attention-Based Hierarchical Transformer for Turbofan Engine Remaining Useful Life Prediction.
Sensors
Zhengyang Fan, Wanru Li, Kuo-Chu Chang
2024 J jnl
Investigation of Phishing Susceptibility with Explainable Artificial Intelligence.
Future Internet
Zhengyang Fan, Wanru Li, Kathryn Blackmond Laskey, Kuo-Chu Chang
2024 — conf
Joint Detection and Classification of Communication and Radar Signals in Congested RF Environments Using YOLOv8.
MILCOM
Xiwen Kang, Huamei Chen, Genshe Chen, Kuo-Chu Chang, Thomas M. Clemons
2024 — conf
Multi-Sensor Track-to-Track Fusion Using Dynamic Consensus.
SDF
Shuqi Zhang, Ting Yuan, Wenqi Cao, Kuo-Chu Chang, Krishanth Krishnan
2024 J jnl
Novel integer L-shaped method for parallel machine scheduling problem under uncertain sequence-dependent setups.
Comput. Ind. Eng.
Zhengyang Fan, Ran Ji, Shi-Chung Chang, Kuo-Chu Chang
2024 C conf
Regression Model Bias Evaluation by Estimating Conditional Densities with Gaussian Mixtures.
FUSION
Wei Sun, Xuning Tang, Kuo-Chu Chang
2024 B conf
Towards Personalized Anti-Phishing: Counterfactual Explanation Approach - Extended Abstract.
DSAA
Zhengyang Fan, Wanru Li, Kathryn Blackmond Laskey, Kuo-Chu Chang
2023 C conf
Scheduling Condition-based Maintenance: An Explainable Deep Reinforcement Learning Approach via Reward Decomposition.
FUSION
Huong N. Dang, Kuo-Chu Chang, Genshe Chen, Hua-mei Chen, Simon Khan, Milvio Franco, Erik Blasch
2021 C conf
Bridging Heuristic and Deep Learning Approaches to Sensor Tasking.
FUSION
Ashton E. Harvey, Kathryn B. Laskey, Kuo-Chu Chang
2019 C conf
Heterogeneous Track-to-Track Fusion in 2D Using Sonar and Radar Sensors.
FUSION
Mahendra Mallick, Kuo-Chu Chang, Sanjeev Arulampalam, Yanjun Yan, Barbara F. La Scala
2019 J jnl
Heterogeneous Track-to-Track Fusion in 3-D Using IRST Sensor and Air MTI Radar.
IEEE Trans. Aerosp. Electron. Syst.
Mahendra Mallick, Kuo-Chu Chang, Sanjeev Arulampalam, Yanjun Yan
2019 C conf
Information Matrix Fusion for Nonlinear, Asynchronous and Heterogeneous Systems.
FUSION
Kaipei Yang, Yaakov Bar-Shalom, Kuo-Chu Chang
2018 C conf
A Review of Forty Years of Distributed Estimation.
FUSION
Chee-Yee Chong, Kuo-Chu Chang, Shozo Mori
2018 C conf
Pattern Discovery and Anomaly Detection via Knowledge Graph.
FUSION
Bin Jia, Cailing Dong, Zhijiang Chen, Kuo-Chu Chang, Nichole Sullivan, Genshe Chen
2017 — conf
Probabilistic reasoning and risk-constrained dynamic spectrum access.
DySPAN
Todd W. Martin, Kuo-Chu Chang
2017 C conf
Risk-based pricing for secondary spectrum access.
FUSION
Todd W. Martin, Kuo-Chu Chang
2016 C conf
Assessing user decision behaviors for Dynamic Spectrum Sharing and pricing models.
FUSION
Todd W. Martin, Kuo-Chu Chang
2016 C conf
Comparison of optimal distributed estimation and consensus filtering.
FUSION
Chee-Yee Chong, Kuo-Chu Chang, Shozo Mori
2016 C conf
Three formalisms of multiple hypothesis tracking.
FUSION
Shozo Mori, Chee-Yee Chong, Kuo-Chu Chang
2015 C conf
An application of interacting multiple model tracking method to financial modeling and asset allocation.
FUSION
Shozo Mori, Kuo-Chu Chang, Hajime Takahashi, Chee-Yee Chong
2015 C conf
Development and analysis of a probabilistic reasoning methodology for spectrum situational awareness and parameter estimation in uncertain environments.
FUSION
Todd W. Martin, Kuo-Chu Chang
2014 J jnl
Performance prediction of feature-aided track-to-track association.
IEEE Trans. Aerosp. Electron. Syst.
Shozo Mori, Kuo-Chu Chang, Chee-Yee Chong
2014 C conf
Situational awareness uncertainty impacts on Dynamic Spectrum Access performance.
FUSION
Todd W. Martin, Kuo-Chu Chang
2013 C conf
A causal reasoning approach to DSA situational awareness and decision-making.
FUSION
Todd W. Martin, Kuo-Chu Chang
2013 Misc conf
An initial study of DSA cost and capacity trades under imperfect awareness.
ICNC
Todd W. Martin, Kuo-Chu Chang
2013 J jnl
Refinement and Coarsening of Bayesian Networks
CoRR
Kuo-Chu Chang, Robert M. Fung
2013 J jnl
Symbolic Probabilistic Inference with Continuous Variables
CoRR
Kuo-Chu Chang, Robert M. Fung
2013 J jnl
Symbolic Probabilistic Inference with Evidence Potential
CoRR
Kuo-Chu Chang, Robert M. Fung
2013 J jnl
UAV Path Planning with Tangent-plus-Lyapunov Vector Field Guidance and Obstacle Avoidance.
IEEE Trans. Aerosp. Electron. Syst.
Hongda Chen, Kuo-Chu Chang, Craig S. Agate
2013 J jnl
Weighing and Integrating Evidence for Stochastic Simulation in Bayesian Networks
CoRR
Robert M. Fung, Kuo-Chu Chang
2012 J jnl
A Fusion Analysis and Evaluation Tool for Multi-Sensor Classification Systems.
J. Adv. Inf. Fusion
Rommel N. Carvalho, Kuo-Chu Chang
2012 C conf
Comparison of track fusion rules and track association metrics.
FUSION
Shozo Mori, Kuo-Chu Chang, Chee-Yee Chong
2012 — conf
High-Level Information Fusion with Bayesian Semantics.
BMA
Paulo Cesar G. da Costa, Kathryn B. Laskey, Kuo-Chu Chang, Wei Sun, Cheol Young Park, Shou Matsumoto
2012 J jnl
Sensor Calibration using In-Situ Celestial Observations to Estimate Bias in Space-Based Missile Tracking.
IEEE Trans. Aerosp. Electron. Syst.
Thomas M. Clemons, Kuo-Chu Chang
2011 C conf
Modeling a probabilistic ontology for Maritime Domain Awareness.
FUSION
Rommel N. Carvalho, Richard Haberlin, Paulo Cesar G. da Costa, Kathryn B. Laskey, Kuo-Chu Chang
2011 C conf
Performance prediction of feature aided track-to-track association.
FUSION
Shozo Mori, Chee-Yee Chong, Kuo-Chu Chang
2010 C conf
High-level fusion: Issues in developing a formal theory.
FUSION
Paulo Cesar G. da Costa, Kuo-Chu Chang, Kathryn B. Laskey, Tod S. Levitt, Wei Sun
2010 C conf
PROGNOS: Predictive situational awareness with probabilistic ontologies.
FUSION
Rommel N. Carvalho, Paulo Cesar G. da Costa, Kathryn B. Laskey, Kuo-Chu Chang
2010 C conf
Scalable fusion with mixture distributions in sensor networks.
ICARCV
Kuo-Chu Chang, Wei Sun
2010 C conf
Scalable inference for hybrid Bayesian networks with full density estimations.
FUSION
Wei Sun, Kuo-Chu Chang, Kathryn B. Laskey
2009 C conf
A multi-disciplinary approach to high level fusion in predictive situational awareness.
FUSION
Paulo Cesar G. da Costa, Kuo-Chu Chang, Kathryn B. Laskey, Rommel N. Carvalho
2009 C conf
A performance evaluation tool for multi-sensor classification systems.
FUSION
Rommel N. Carvalho, Kuo-Chu Chang
2009 C conf
Bias correction using background stars for space-based IR tracking.
FUSION
Thomas M. Clemons, Kuo-Chu Chang
2009 C conf
Track association and fusion using Janossy measure density functions.
FUSION
Shozo Mori, Chee-Yee Chong, Kuo-Chu Chang
2009 C conf
Tracking with UAV using tangent-plus-Lyapunov vector field guidance.
FUSION
Hongda Chen, Kuo-Chu Chang, Craig S. Agate
2008 C conf
On scalable distributed sensor fusion.
FUSION
Kuo-Chu Chang, Chee-Yee Chong, Shozo Mori
2007 C conf
Hybrid message passing for mixed bayesian networks.
FUSION
Wei Sun, Kuo-Chu Chang
2007 A* conf
Unscented Message Passing for Arbitrary Continuous Variables in Bayesian Networks.
AAAI
Wei Sun, Kuo-Chu Chang
2006 C conf
A Data Fusion Formulation for Decentralized Estimation Predictions under Communications Uncertainty.
FUSION
Todd W. Martin, Kuo-Chu Chang
2006 J jnl
Level I and Level II Target Valuations for Sensor Management.
J. Adv. Inf. Fusion
Kuo-Chu Chang, Joe P. Hill
2002 J jnl
Comparison of score metrics for Bayesian network learning.
IEEE Trans. Syst. Man Cybern. Part A
Shulin Yang, Kuo-Chu Chang
2000 J jnl
Evaluating a linear predictive algorithm for bandwidth conservation.
IEEE Trans. Aerosp. Electron. Syst.
Kuo-Chu Chang, Xiaoyan Yin, Rajat K. Saha
1999 J jnl
Learning Bayesian networks with a hybrid convergent method.
IEEE Trans. Syst. Man Cybern. Part A
Jun Liu, Kuo-Chu Chang, Jing Zhou
1998 — conf
A Hybrid Convergent Method for Learning Probabilistic Networks.
Canadian AI
Jun Liu, Kuo-Chu Chang, Jing Zhou
1997 J jnl
Polarimetric fusion for synthetic aperture radar target classification.
Pattern Recognit.
Andrew Hauter, Kuo-Chu Chang, Sherman Karp
1995 J jnl
Prediction of track purity and track accuracy in dense target environments.
IEEE Trans. Autom. Control.
Shozo Mori, Kuo-Chu Chang, Chee-Yee Chong, Keh-Ping Dunn
1995 J jnl
Symbolic probabilistic inference with both discrete and continuous variables.
IEEE Trans. Syst. Man Cybern.
Kuo-Chu Chang, Robert M. Fung
1991 A conf
Symbolic Probabilistic Inference with Continuous Variables.
UAI
Kuo-Chu Chang, Robert M. Fung
1991 A conf
Symbolic Probabilistic Inference with Evidence Potential.
UAI
Kuo-Chu Chang, Robert M. Fung
1990 A conf
Refinement and coarsening of Bayesian networks.
UAI
Kuo-Chu Chang, Robert M. Fung
1989 J jnl
Distributed adaptive estimation with probabilistic data association.
Autom.
Kuo-Chu Chang, Yaakov Bar-Shalom
1989 A* conf
Node Aggregation for Distributed Inference in Bayesian Networks.
IJCAI
Kuo-Chu Chang, Robert M. Fung
1989 B conf
Performance evaluation of a cascaded logic for track formation in clutter.
SMC
Yaakov Bar-Shalom, Kuo-Chu Chang, Hemchandra M. Shertukde
1989 A conf
Weighing and Integrating Evidence for Stochastic Simulation in Bayesian Networks.
UAI
Robert M. Fung, Kuo-Chu Chang