Bahman Moraffah
According to our database1,
Bahman Moraffah
authored at least 22 papers
between 2015 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024
2022
Bayesian Nonparametric Modeling for Predicting Dynamic Dependencies in Multiple Object Tracking.
Sensors, 2022
Interference Mitigation in Spectrum Sharing Environments Using Time- Frequency Processing and Feature Clustering.
Proceedings of the 56th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2022, Pacific Grove, CA, USA, October 31, 2022
Proceedings of the 56th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2022, Pacific Grove, CA, USA, October 31, 2022
2021
Bayesian Nonparametric Modelling for Model-Free Reinforcement Learning in LTE-LAA and Wi-Fi Coexistence.
CoRR, 2021
Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021
Bayesian Nonparametric Derivation of Spawning in Multi-Object Tracking: from Association to Tracking.
Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021
2020
Use of Bayesian Nonparametric methods for Estimating the Measurements in High Clutter.
CoRR, 2020
CAN: A Causal Adversarial Network for Learning Observational and Interventional Distributions.
CoRR, 2020
Bayesian nonparametric modeling for predicting dynamic dependencies in multiple object tracking.
CoRR, 2020
METRIC-Bayes: Measurements Estimation for Tracking in High Clutter using Bayesian Nonparametrics.
Proceedings of the 54th Asilomar Conference on Signals, Systems, and Computers, 2020
2019
CoRR, 2019
Random Infinite Tree and Dependent Poisson Diffusion Process for Nonparametric Bayesian Modeling in Multiple Object Tracking.
Proceedings of the IEEE International Conference on Acoustics, 2019
Nonparametric Bayesian Methods and the Dependent Pitman-Yor Process for Modeling Evolution in Multiple Object Tracking.
Proceedings of the 22th International Conference on Information Fusion, 2019
Use of Hierarchical Dirichlet Processes to Integrate Dependent Observations From Multiple Disparate Sensors for Tracking.
Proceedings of the 22th International Conference on Information Fusion, 2019
Tracking Multiple Objects with Multimodal Dependent Measurements: Bayesian Nonparametric Modeling.
Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019
Bradycardia Prediction in Preterm Infants Using Nonparametric Kernel Density Estimation.
Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019
2018
Dependent Dirichlet Process Modeling and Identity Learning for Multiple Object Tracking.
Proceedings of the 52nd Asilomar Conference on Signals, Systems, and Computers, 2018
2017
IEEE Trans. Inf. Forensics Secur., 2017
2015
Proceedings of the 53rd Annual Allerton Conference on Communication, 2015