Information-theoretic private interactive mechanism. - Bahman Moraffah; Lalitha Sankar (Allerton, 2015)

Privacy-Guaranteed Two-Agent Interactions Using Information-Theoretic Mechanisms. - Bahman Moraffah; Lalitha Sankar (IEEE Trans. Inf. Forensics Secur., 2017)

Dependent Dirichlet Process Modeling and Identity Learning for Multiple Object Tracking. - Bahman Moraffah; Antonia Papandreou-Suppappola (ACSSC, 2018)

Bradycardia Prediction in Preterm Infants Using Nonparametric Kernel Density Estimation. - Subhasish Das; Bahman Moraffah; Ayan Banerjee 001; Sandeep K. S. Gupta; Antonia Papandreou-Suppappola (ACSSC, 2019)

Tracking Multiple Objects with Multimodal Dependent Measurements: Bayesian Nonparametric Modeling. - Bahman Moraffah; Cesar Brito; Bindya Venkatesh; Antonia Papandreou-Suppappola (ACSSC, 2019)

Use of Hierarchical Dirichlet Processes to Integrate Dependent Observations From Multiple Disparate Sensors for Tracking. - Bahman Moraffah; Cesar Brito; Bindya Venkatesh; Antonia Papandreou-Suppappola (FUSION, 2019)

Nonparametric Bayesian Methods and the Dependent Pitman-Yor Process for Modeling Evolution in Multiple Object Tracking. - Bahman Moraffah; Antonia Papandreou-Suppappola; Muralidhar Rangaswamy (FUSION, 2019)

Random Infinite Tree and Dependent Poisson Diffusion Process for Nonparametric Bayesian Modeling in Multiple Object Tracking. - Bahman Moraffah; Antonia Papandreou-Suppappola (ICASSP, 2019)

Inference for multiple object tracking: A Bayesian nonparametric approach. - Bahman Moraffah (CoRR, 2019)

METRIC-Bayes: Measurements Estimation for Tracking in High Clutter using Bayesian Nonparametrics. - Bahman Moraffah; Christ Richmond; Raha Moraffah; Antonia Papandreou-Suppappola (ACSSC, 2020)

Bayesian nonparametric modeling for predicting dynamic dependencies in multiple object tracking. - Bahman Moraffah; Antonia Papndreou-Suppopola (CoRR, 2020)

CAN: A Causal Adversarial Network for Learning Observational and Interventional Distributions. - Raha Moraffah; Bahman Moraffah; Mansooreh Karami; Adrienne Raglin; Huan Liu 001 (CoRR, 2020)

Use of Bayesian Nonparametric methods for Estimating the Measurements in High Clutter. - Bahman Moraffah; Christ Richmond; Raha Moraffah; Antonia Papandreou-Suppappola (CoRR, 2020)

Bayesian Nonparametric Derivation of Spawning in Multi-Object Tracking: from Association to Tracking. - Bahman Moraffah (ACSCC, 2021)

Sequential Bayesian Inference Using Stochastic Models of Gene Regulatory Networks. - Nayely Vélez-Cruz; Bahman Moraffah; Antonia Papandreou-Suppappola (ACSCC, 2021)

Bayesian Nonparametric Modelling for Model-Free Reinforcement Learning in LTE-LAA and Wi-Fi Coexistence. - Po-Kan Shih; Bahman Moraffah (CoRR, 2021)

Bayesian Nonparametric View to Spawning. - Bahman Moraffah (CoRR, 2021)

Switching Langevin Dynamics for Gene Regulatory Networks. - Nayely Vélez-Cruz; Bahman Moraffah; Antonia Papandreou-Suppappola (IEEECONF, 2022)

Interference Mitigation in Spectrum Sharing Environments Using Time- Frequency Processing and Feature Clustering. - Yiming Zhang; Bahman Moraffah; Antonia Papandreou-Suppappola (IEEECONF, 2022)

A Complete Recipe for Bayesian Knowledge Transfer: Object Tracking. - Bahman Moraffah; Antonia Papandreou-Suppappola (CoRR, 2022)

Bayesian Nonparametric Modeling for Predicting Dynamic Dependencies in Multiple Object Tracking. - Bahman Moraffah; Antonia Papandreou-Suppappola (Sensors, 2022)

Nested Inheritance Dynamics. - Bahman Moraffah (IEEECONF, 2024)

Multiple Target Tracking in Unknown and Time-Varying Measurement Noise Intensity. - Yongho Seo; Bahman Moraffah; Antonia Papandreou-Suppappola (IEEECONF, 2024)

Exploiting Class Probabilities for Black-box Sentence-level Attacks. - Bahman Moraffah; Huan Liu 001 (EACL (Findings), 2024)

Bayesian Nonparametrics: An Alternative to Deep Learning. - Bahman Moraffah (CoRR, 2024)