Multicausal Prior Families, Randomisation and Essential Graphs. - Alireza Daneshkhah; Jim Q. Smith (Probabilistic Graphical Models, 2002)

On the robustness of Bayesian networks to learning from non-conjugate sampling. - Jim Q. Smith; Alireza Daneshkhah (Int. J. Approx. Reason., 2010)

Probabilistic sensitivity analysis of system availability using Gaussian processes. - Alireza Daneshkhah; Tim Bedford (Reliab. Eng. Syst. Saf., 2013)

Robustness of maintenance decisions: Uncertainty modelling and value of information. - Athena Zitrou; Tim Bedford; Alireza Daneshkhah (Reliab. Eng. Syst. Saf., 2013)

Assessing parameter uncertainty on coupled models using minimum information methods. - Tim Bedford; Kevin J. Wilson; Alireza Daneshkhah (Reliab. Eng. Syst. Saf., 2014)

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)

Probabilistic sensitivity analysis of optimised preventive maintenance strategies for deteriorating infrastructure assets. - Alireza Daneshkhah; Nigel G. Stocks; Paul Jeffrey (Reliab. Eng. Syst. Saf., 2017)

Probabilistic Modeling of Financial Uncertainties. - Alireza Daneshkhah; Amin Hosseinian Far; Omid Chatrabgoun; Tabassom Sedighi; Maryam Farsi (Int. J. Organ. Collect. Intell., 2018)

Approximating non-Gaussian Bayesian networks using minimum information vine model with applications in financial modelling. - Omid Chatrabgoun; Amin Hosseinian Far; Victor Chang 001; Nigel G. Stocks; Alireza Daneshkhah (J. Comput. Sci., 2018)

Generation of Pedestrian Pose Structures using Generative Adversarial Networks. - James Spooner; Madeline Cheah; Vasile Palade; Stratis Kanarachos; Alireza Daneshkhah (ICMLA, 2019)

Performance Boundary Identification for the Evaluation of Automated Vehicles using Gaussian Process Classification. - Felix Batsch; Alireza Daneshkhah; Madeline Cheah; Stratis Kanarachos; Anthony Baxendale (ITSC, 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)

Classification of a Pedestrian's Behaviour Using Dual Deep Neural Networks. - James Spooner; Madeline Cheah; Vasile Palade; Stratis Kanarachos; Alireza Daneshkhah (SAI (3), 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)

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)

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)

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)

Using Generative Adversarial Networks and Non-Roadside Video Data to Generate Pedestrian Crossing Scenarios. - James Spooner; Vasile Palade; Alireza Daneshkhah; Stratis Kanarachos (ICMLA, 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)

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)

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)

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)

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)

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)

Assessing Risks in Dairy Supply Chain Systems: A System Dynamics Approach. - Maryam Azizsafaei; Amin Hosseinian Far; Rasoul Khandan; Dilshad Sarwar; Alireza Daneshkhah (Syst., 2022)

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., 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, 2023)

On the impact of prior distributions on efficiency of sparse Gaussian process regression. - Mohsen Esmaeilbeigi; Omid Chatrabgoun; Alireza Daneshkhah; Maryam Shafa (Eng. Comput., 2023)

Deep Learning Techniques for Radar-Based Continuous Human Activity Recognition. - Ruchita Mehta; Sara Sharifzadeh; Vasile Palade; Bo Tan 003; Alireza Daneshkhah; Yordanka Karayaneva (Mach. Learn. Knowl. Extr., 2023)

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)

Forecasting global climate drivers using Gaussian processes and convolutional autoencoders. - James Donnelly; Alireza Daneshkhah; Soroush Abolfathi (Eng. Appl. Artif. Intell., 2024)

A novel algorithm for classification using a low rank approximation of kernel-based support vector machines with applications. - Omid Chatrabgoun; Mohsen Esmaeilbeigi; Alireza Daneshkhah; Ahmad Kamandi; N. Salimi (Commun. Stat. Simul. Comput., 2024)

Leveraging physics-informed neural networks for efficient modelling of coastal ecosystems dynamics: A case study of Sundarbans mangrove forest. - Majdi Fanous; Jonathan M. Eden; Juntao Yang; Simon See; Vasile Palade; Alireza Daneshkhah (Ecol. Informatics, 2025)