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Optimal Joint Defense and Monitoring for Networks Security under Uncertainty: A POMDP-Based Approach

IET information security, 2024-05, Vol.2024, p.1-20

2024

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Gene regulatory network state estimation from arbitrary correlated measurements

EURASIP journal on advances in signal processing, 2018-04, Vol.2018 (1), p.1-10, Article 22

2018

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Bayesian reinforcement learning for navigation planning in unknown environments

Frontiers in artificial intelligence, 2024-07, Vol.7, p.1308031

2024

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Optimal monitoring and attack detection of networks modeled by Bayesian attack graphs

Cybersecurity (Singapore), 2023-12, Vol.6 (1), p.22-15, Article 22

2023

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Modeling the structural relationships between trauma exposure with substance use tendency, depression symptoms, and suicidal thoughts in individuals with earthquake trauma experience: the mediatory role of peritraumatic dissociation and experiential avoidance

BMC psychiatry, 2024-03, Vol.24 (1), p.171-171, Article 171

2024

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Validation of a Semiautomatic Image Analysis Software for the Quantification of Musculoskeletal Tissues

Calcified tissue international, 2022-03, Vol.110 (3), p.294-302

2022

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Scalable optimal Bayesian classification of single-cell trajectories under regulatory model uncertainty

BMC genomics, 2019-06, Vol.20 (Suppl 6), p.435-435, Article 435

2019

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Deep Reinforcement Learning Sensor Scheduling for Effective Monitoring of Dynamical Systems

Systems science & control engineering, 2024, Vol.12 (1)

2024

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BoolFilter: an R package for estimation and identification of partially-observed Boolean dynamical systems

BMC bioinformatics, 2017-11, Vol.18 (1), p.519-519, Article 519

2017

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Practical Bloom filter based epidemic forwarding and congestion control in DTNs: A comparative analysis

Computer communications, 2014-07, Vol.48, p.98-110

2014

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The Investigation of Psychometric Properties of the Metacognitions Questionnaire in 9-13-Year-Old Children

Majallah-i dānishgāh-í ulūm-i pizishkī-i Qum, 2022-10, Vol.16 (7), p.592-601

2022

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Intermittent fasting and continuous energy restriction result in similar changes in body composition and muscle strength when combined with a 12 week resistance training program

European journal of nutrition, 2022-06, Vol.61 (4), p.2183-2199

2022

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Sequential Experimental Design for Optimal Structural Intervention in Gene Regulatory Networks Based on the Mean Objective Cost of Uncertainty

Cancer Informatics, 2018, Vol.17, p.1176935118790247-1176935118790247

2018

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Obsessive-Compulsive Disorder Traits and Preventive Behaviors during COVID-19 Pandemic: The Role of Self-Regulation Strategies

International journal of school health (Online), 2022-07, Vol.9 (3), p.135-142

2022

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Graph-Based Bayesian Optimization for Large-Scale Objective-Based Experimental Design

IEEE transaction on neural networks and learning systems, 2022-10, Vol.33 (10), p.5913-5925

2022

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Two-Stage Bayesian Optimization for Scalable Inference in State-Space Models

IEEE transaction on neural networks and learning systems, 2022-10, Vol.33 (10), p.5138-5149

2022

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Classification of Fracture Risk in Fallers Using Dual‐Energy X‐Ray Absorptiometry (DXA) Images and Deep Learning‐Based Feature Extraction

JBMR plus, 2023-12, Vol.7 (12), p.e10828-n/a

2023

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Relationship Between Self-Compassion, Emotional Quotient and Maternal Styles with Well-Being in Shiraz School Students

International journal of school health (Online), 2018-10, Vol.In Press (In Press), p.1-5

2018

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Bayesian Lookahead Perturbation Policy for Inference of Regulatory Networks

IEEE/ACM transactions on computational biology and bioinformatics, 2024-05, Vol.PP, p.1-14

2024

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An optimal Bayesian intervention policy in response to unknown dynamic cell stimuli

Information sciences, 2024-05, Vol.666, p.120440, Article 120440

2024

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Maximum-Likelihood Adaptive Filter for Partially Observed Boolean Dynamical Systems

IEEE transactions on signal processing, 2017-01, Vol.65 (2), p.359-371

2017

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Optimal Finite-Horizon Perturbation Policy for Inference of Gene Regulatory Networks

IEEE intelligent systems, 2021-01, Vol.36 (1), p.54-63

2021

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Scalable Inverse Reinforcement Learning Through Multifidelity Bayesian Optimization

IEEE transaction on neural networks and learning systems, 2022-08, Vol.33 (8), p.4125-4132

2022

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Boolean Kalman filter and smoother under model uncertainty

Automatica (Oxford), 2020-01, Vol.111, p.108609, Article 108609

2020

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Modeling Defensive Response of Cells to Therapies: Equilibrium Interventions for Regulatory Networks

IEEE/ACM transactions on computational biology and bioinformatics, 2024-04, Vol.PP, p.1-13

2024

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Optimal Joint Defense and Monitoring for Networks Security under Uncertainty: A POMDP-Based Approach

Gene regulatory network state estimation from arbitrary correlated measurements

Bayesian reinforcement learning for navigation planning in unknown environments

Optimal monitoring and attack detection of networks modeled by Bayesian attack graphs

Modeling the structural relationships between trauma exposure with substance use tendency, depression symptoms, and suicidal thoughts in individuals with earthquake trauma experience: the mediatory role of peritraumatic dissociation and experiential avoidance

Validation of a Semiautomatic Image Analysis Software for the Quantification of Musculoskeletal Tissues

Scalable optimal Bayesian classification of single-cell trajectories under regulatory model uncertainty

Deep Reinforcement Learning Sensor Scheduling for Effective Monitoring of Dynamical Systems

BoolFilter: an R package for estimation and identification of partially-observed Boolean dynamical systems

Practical Bloom filter based epidemic forwarding and congestion control in DTNs: A comparative analysis

The Investigation of Psychometric Properties of the Metacognitions Questionnaire in 9-13-Year-Old Children

Intermittent fasting and continuous energy restriction result in similar changes in body composition and muscle strength when combined with a 12 week resistance training program

Sequential Experimental Design for Optimal Structural Intervention in Gene Regulatory Networks Based on the Mean Objective Cost of Uncertainty

Obsessive-Compulsive Disorder Traits and Preventive Behaviors during COVID-19 Pandemic: The Role of Self-Regulation Strategies

Graph-Based Bayesian Optimization for Large-Scale Objective-Based Experimental Design

Two-Stage Bayesian Optimization for Scalable Inference in State-Space Models

Classification of Fracture Risk in Fallers Using Dual‐Energy X‐Ray Absorptiometry (DXA) Images and Deep Learning‐Based Feature Extraction

Relationship Between Self-Compassion, Emotional Quotient and Maternal Styles with Well-Being in Shiraz School Students

Bayesian Lookahead Perturbation Policy for Inference of Regulatory Networks

An optimal Bayesian intervention policy in response to unknown dynamic cell stimuli

Maximum-Likelihood Adaptive Filter for Partially Observed Boolean Dynamical Systems

Optimal Finite-Horizon Perturbation Policy for Inference of Gene Regulatory Networks

Scalable Inverse Reinforcement Learning Through Multifidelity Bayesian Optimization

Boolean Kalman filter and smoother under model uncertainty

Modeling Defensive Response of Cells to Therapies: Equilibrium Interventions for Regulatory Networks

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