Alireza Daneshkhah

Orcid: 0000-0001-7751-4307

According to our database1, Alireza Daneshkhah authored at least 29 papers between 2002 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2023
Deep Learning Techniques for Radar-Based Continuous Human Activity Recognition.
Mach. Learn. Knowl. Extr., December, 2023

On the impact of prior distributions on efficiency of sparse Gaussian process regression.
Eng. Comput., August, 2023

Artificial Intelligence for skeleton-based physical rehabilitation action evaluation: A systematic review.
Comput. Biol. Medicine, May, 2023

Challenges and prospects of climate change impact assessment on mangrove environments through mathematical models.
Environ. Model. Softw., April, 2023

2022
Assessing Risks in Dairy Supply Chain Systems: A System Dynamics Approach.
Syst., 2022

Exploring dynamical properties of a Type 1 diabetes model using sensitivity approaches.
Math. Comput. Simul., 2022

Detection of sleep apnea using Machine learning algorithms based on ECG Signals: A comprehensive systematic review.
Expert Syst. Appl., 2022

Topic modelling in precision medicine with its applications in personalized diabetes management.
Expert Syst. J. Knowl. Eng., 2022

Predicting Primary Sequence-Based Protein-Protein Interactions Using a Mercer Series Representation of Nonlinear Support Vector Machine.
IEEE Access, 2022

Improving the Pedestrian Detection Performance in the Absence of Rich Training Datasets: A UK Case Study.
Adv. Artif. Intell. Mach. Learn., 2022

2021
Network and hypervisor-based attacks in cloud computing environments.
Int. J. Electron. Secur. Digit. Forensics, 2021

Using Generative Adversarial Networks and Non-Roadside Video Data to Generate Pedestrian Crossing Scenarios.
Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021

2020
Constructing gene regulatory networks from microarray data using non-Gaussian pair-copula Bayesian networks.
J. Bioinform. Comput. Biol., 2020

Digital Forensics: Challenges and Opportunities for Future Studies.
Int. J. Organ. Collect. Intell., 2020

Hardware-based cyber threats: attack vectors and defence techniques.
Int. J. Electron. Secur. Digit. Forensics, 2020

Uncertainty Quantification of Darcy Flow through Porous Media using Deep Gaussian Process.
CoRR, 2020

Classification of a Pedestrian's Behaviour Using Dual Deep Neural Networks.
Proceedings of the Intelligent Computing, 2020

2019
Optimizing minimum information pair-copula using genetic algorithm to select optimal basis functions.
Commun. Stat. Simul. Comput., 2019

Performance Boundary Identification for the Evaluation of Automated Vehicles using Gaussian Process Classification.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

Generation of Pedestrian Pose Structures using Generative Adversarial Networks.
Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019

2018
Approximating non-Gaussian Bayesian networks using minimum information vine model with applications in financial modelling.
J. Comput. Sci., 2018

Probabilistic Modeling of Financial Uncertainties.
Int. J. Organ. Collect. Intell., 2018

2017
Probabilistic sensitivity analysis of optimised preventive maintenance strategies for deteriorating infrastructure assets.
Reliab. Eng. Syst. Saf., 2017

2016
Approximation Multivariate Distribution with Pair Copula Using the Orthonormal Polynomial and Legendre Multiwavelets Basis Functions.
Commun. Stat. Simul. Comput., 2016

2014
Assessing parameter uncertainty on coupled models using minimum information methods.
Reliab. Eng. Syst. Saf., 2014

2013
Robustness of maintenance decisions: Uncertainty modelling and value of information.
Reliab. Eng. Syst. Saf., 2013

Probabilistic sensitivity analysis of system availability using Gaussian processes.
Reliab. Eng. Syst. Saf., 2013

2010
On the robustness of Bayesian networks to learning from non-conjugate sampling.
Int. J. Approx. Reason., 2010

2002
Multicausal Prior Families, Randomisation and Essential Graphs.
Proceedings of the First European Workshop on Probabilistic Graphical Models, 6-8 November - 2002, 2002


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