Alireza Daneshkhah
Orcid: 0000-0001-7751-4307
  According to our database1,
  Alireza Daneshkhah
  authored at least 33 papers
  between 2002 and 2025.
  
  
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
- 
    on orcid.org
 
On csauthors.net:
Bibliography
  2025
Leveraging physics-informed neural networks for efficient modelling of coastal ecosystems dynamics: A case study of Sundarbans mangrove forest.
    
  
    Ecol. Informatics, 2025
    
  
  2024
A novel algorithm for classification using a low rank approximation of kernel-based support vector machines with applications.
    
  
    Commun. Stat. Simul. Comput., December, 2024
    
  
Forecasting global climate drivers using Gaussian processes and convolutional autoencoders.
    
  
    Eng. Appl. Artif. Intell., 2024
    
  
LightPRA: A Lightweight Temporal Convolutional Network for Automatic Physical Rehabilitation Exercise Assessment.
    
  
    Comput. Biol. Medicine, 2024
    
  
  2023
    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
    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
    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
    
  
    Int. J. Organ. Collect. Intell., 2020
    
  
    Int. J. Electron. Secur. Digit. Forensics, 2020
    
  
Uncertainty Quantification of Darcy Flow through Porous Media using Deep Gaussian Process.
    
  
    CoRR, 2020
    
  
    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
    
  
    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
    
  
    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
    Reliab. Eng. Syst. Saf., 2014
    
  
  2013
    Reliab. Eng. Syst. Saf., 2013
    
  
    Reliab. Eng. Syst. Saf., 2013
    
  
  2010
    Int. J. Approx. Reason., 2010
    
  
  2002
    Proceedings of the First European Workshop on Probabilistic Graphical Models, 6-8 November - 2002, 2002