Alireza Daneshkhah

According to our database, Alireza Daneshkhah authored at least 31 papers between 2002 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Forecasting global climate drivers using Gaussian processes and convolutional autoencoders.

James Donnelly, Alireza Daneshkhah, Soroush Abolfathi

Eng. Appl. Artif. Intell., 2024

LightPRA: A Lightweight Temporal Convolutional Network for Automatic Physical Rehabilitation Exercise Assessment.

Sara Sardari, Sara Sharifzadeh, Alireza Daneshkhah, Seng W. Loke, Vasile Palade, Michael Duncan, Bahareh Nakisa

Comput. Biol. Medicine, 2024

2023

Deep Learning Techniques for Radar-Based Continuous Human Activity Recognition.

Ruchita Mehta, Sara Sharifzadeh, Vasile Palade, Bo Tan, Alireza Daneshkhah, Yordanka Karayaneva

Mach. Learn. Knowl. Extr., December, 2023

On the impact of prior distributions on efficiency of sparse Gaussian process regression.

Mohsen Esmaeilbeigi, Omid Chatrabgoun, Alireza Daneshkhah, Maryam Shafa

Eng. Comput., August, 2023

Artificial Intelligence for skeleton-based physical rehabilitation action evaluation: A systematic review.

Sara Sardari, Sara Sharifzadeh, Alireza Daneshkhah, Bahareh Nakisa, Seng W. Loke, Vasile Palade, Michael Duncan

Comput. Biol. Medicine, May, 2023

Challenges and prospects of climate change impact assessment on mangrove environments through mathematical models.

Majdi Fanous, Jonathan M. Eden, Renji Remesan, Alireza Daneshkhah

Environ. Model. Softw., April, 2023

2022

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

Maryam Azizsafaei, Amin Hosseinian Far, Rasoul Khandan, Dilshad Sarwar, Alireza Daneshkhah

Syst., 2022

Exploring dynamical properties of a Type 1 diabetes model using sensitivity approaches.

Hannah Al Ali, Alireza Daneshkhah, Abdesslam Boutayeb, Noble Jahalamajaha Malunguza, Zindoga Mukandavire

Math. Comput. Simul., 2022

Detection of sleep apnea using Machine learning algorithms based on ECG Signals: A comprehensive systematic review.

Nader Salari, Amin Hosseinian Far, Masoud Mohammadi, Hooman Ghasemi, Habibolah Khazaie, Alireza Daneshkhah, Arash Ahmadi

Expert Syst. Appl., 2022

Topic modelling in precision medicine with its applications in personalized diabetes management.

Chong Ni Ki, Amin Hosseinian Far, Alireza Daneshkhah, Nader Salari

Expert Syst. J. Knowl. Eng., 2022

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

Omid Chatrabgoun, Alireza Daneshkhah, Mohsen Esmaeilbeigi, Nader Sohrabi Safa, Ali Hamdan Alenezi, Arafatur Rahman

IEEE Access, 2022

Improving the Pedestrian Detection Performance in the Absence of Rich Training Datasets: A UK Case Study.

Juliana Negrini de Araujo, Vasile Palade, Tabassom Sedighi, Alireza Daneshkhah

Adv. Artif. Intell. Mach. Learn., 2022

2021

Network and hypervisor-based attacks in cloud computing environments.

Reza Montasari, Stuart Macdonald, Amin Hosseinian Far, Fiona Carroll, Alireza Daneshkhah

Int. J. Electron. Secur. Digit. Forensics, 2021

Using Generative Adversarial Networks and Non-Roadside Video Data to Generate Pedestrian Crossing Scenarios.

James Spooner, Vasile Palade, Alireza Daneshkhah, Stratis Kanarachos

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.

Omid Chatrabgoun, Amin Hosseinian Far, Alireza Daneshkhah

J. Bioinform. Comput. Biol., 2020

Digital Forensics: Challenges and Opportunities for Future Studies.

Reza Montasari, Richard Hill, Simon Parkinson, Pekka Peltola, Amin Hosseinian Far, Alireza Daneshkhah

Int. J. Organ. Collect. Intell., 2020

Hardware-based cyber threats: attack vectors and defence techniques.

Reza Montasari, Richard Hill, Simon Parkinson, Alireza Daneshkhah, Amin Hosseinian Far

Int. J. Electron. Secur. Digit. Forensics, 2020

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

Alireza Daneshkhah, Omid Chatrabgoun, Mohsen Esmaeilbeigi, Tabassom Sedighi, S. Abolfathi

CoRR, 2020

Classification of a Pedestrian's Behaviour Using Dual Deep Neural Networks.

James Spooner, Madeline Cheah, Vasile Palade, Stratis Kanarachos, Alireza Daneshkhah

Proceedings of the Intelligent Computing, 2020

2019

Optimizing minimum information pair-copula using genetic algorithm to select optimal basis functions.

Omid Chatrabgoun, Alireza Daneshkhah, Mohsen Esmaeilbeigi

Commun. Stat. Simul. Comput., 2019

Performance Boundary Identification for the Evaluation of Automated Vehicles using Gaussian Process Classification.

Felix Batsch, Alireza Daneshkhah, Madeline Cheah, Stratis Kanarachos, Anthony Baxendale

Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

Generation of Pedestrian Pose Structures using Generative Adversarial Networks.

James Spooner, Madeline Cheah, Vasile Palade, Stratis Kanarachos, Alireza Daneshkhah

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.

Omid Chatrabgoun, Amin Hosseinian Far, Victor Chang, Nigel G. Stocks, Alireza Daneshkhah

J. Comput. Sci., 2018

Probabilistic Modeling of Financial Uncertainties.

Alireza Daneshkhah, Amin Hosseinian Far, Omid Chatrabgoun, Tabassom Sedighi, Maryam Farsi

Int. J. Organ. Collect. Intell., 2018

2017

Probabilistic sensitivity analysis of optimised preventive maintenance strategies for deteriorating infrastructure assets.

Alireza Daneshkhah, Nigel G. Stocks, Paul Jeffrey

Reliab. Eng. Syst. Saf., 2017

2016

Approximation Multivariate Distribution with Pair Copula Using the Orthonormal Polynomial and Legendre Multiwavelets Basis Functions.

Alireza Daneshkhah, G. Parham, Omid Chatrabgoun, M. Jokar

Commun. Stat. Simul. Comput., 2016

2014

Assessing parameter uncertainty on coupled models using minimum information methods.

Tim Bedford, Kevin J. Wilson, Alireza Daneshkhah

Reliab. Eng. Syst. Saf., 2014

2013

Robustness of maintenance decisions: Uncertainty modelling and value of information.

Athena Zitrou, Tim Bedford, Alireza Daneshkhah

Reliab. Eng. Syst. Saf., 2013

Probabilistic sensitivity analysis of system availability using Gaussian processes.

Alireza Daneshkhah, Tim Bedford

Reliab. Eng. Syst. Saf., 2013

2010

On the robustness of Bayesian networks to learning from non-conjugate sampling.

Jim Q. Smith, Alireza Daneshkhah

Int. J. Approx. Reason., 2010

2002

Multicausal Prior Families, Randomisation and Essential Graphs.

Alireza Daneshkhah, Jim Q. Smith

Proceedings of the First European Workshop on Probabilistic Graphical Models, 6-8 November - 2002, 2002