A Prediction Modelling and Pattern Detection Approach for the First-Episode Psychosis Associated to Cannabis Use. - Wajdi Alghamdi; Daniel Stamate; Katherine Vang; Daniel Stahl; Marco Colizzi; Giada Tripoli; Diego Quattrone; Olesya Ajnakina; Robin M. Murray; Marta Di Forti (ICMLA, 2016)

Predicting Psychosis Using the Experience Sampling Method with Mobile Apps. - Daniel Stamate; Andrea Katrinecz; Wajdi Alghamdi; Daniel Stahl; Philippe Delespaul; Jim van Os; Sinan Guloksuz (ICMLA, 2017)

Swarmic approach for symmetry detection of cellular automata behaviour. - Mohammad Ali Javaheri Javid; Wajdi Alghamdi; Anna Ursyn; Robert Zimmer; Mohammad Majid al-Rifaie (Soft Comput., 2017)

A New Machine Learning Framework for Understanding the Link Between Cannabis Use and First-Episode Psychosis. - Wajdi Alghamdi; Daniel Stamate; Daniel Stahl; Alexander Zamyatin; Robin M. Murray; Marta Di Forti (eHealth, 2018)

A Machine Learning Framework for Predicting Dementia and Mild Cognitive Impairment. - Daniel Stamate; Wajdi Alghamdi; Jeremy Ogg; Richard Hoile; Fionn Murtagh (ICMLA, 2018)

PIDT: A Novel Decision Tree Algorithm Based on Parameterised Impurities and Statistical Pruning Approaches. - Daniel Stamate; Wajdi Alghamdi; Daniel Stahl; Doina Logofatu; Alexander Zamyatin (AIAI, 2018)

Can Artificial Neural Networks Predict Psychiatric Conditions Associated with Cannabis Use? - Daniel Stamate; Wajdi Alghamdi; Daniel Stahl; Alexander Zamyatin; Robin M. Murray; Marta Di Forti (AIAI, 2018)

Predicting First-Episode Psychosis Associated with Cannabis Use with Artificial Neural Networks and Deep Learning. - Daniel Stamate; Wajdi Alghamdi; Daniel Stahl; Ida M. Pu; Fionn Murtagh; Danielle Belgrave; Robin M. Murray; Marta Di Forti (IPMU (3), 2018)

Predictive modelling approach to data-driven computational psychiatry. - Wajdi Alghamdi (2018)

Semi-Supervised Skin Lesion Segmentation With Coupling CNN and Transformer Features. - Mohammad Alahmadi 001; Wajdi Alghamdi (IEEE Access, 2022)

LBCEPred: a machine learning model to predict linear B-cell epitopes. - Wajdi Alghamdi; Muhammad Attique; Ebraheem Alzahrani; Malik Zaka Ullah; Yaser Daanial Khan (Briefings Bioinform., 2022)

Structure preserving loss function for single image super resolution. - Naman Tuli; Suresh Chandra Raikwar; Mohammad Alahmadi 001; Wajdi Alghamdi; Harpreet Singh; Prashant Singh Rana (Displays, 2022)

DBP-CNN: Deep learning-based prediction of DNA-binding proteins by coupling discrete cosine transform with two-dimensional convolutional neural network. - Omar Barukab; Farman Ali 002; Wajdi Alghamdi; Yoosef Bassam; Sher Afzal Khan (Expert Syst. Appl., 2022)

AFP-SPTS: An Accurate Prediction of Antifreeze Proteins Using Sequential and Pseudo-Tri-Slicing Evolutionary Features with an Extremely Randomized Tree. - Adnan Khan; Jamal Uddin; Farman Ali 002; Harish Kumar; Wajdi Alghamdi; Aftab Ahmad (J. Chem. Inf. Model., 2023)

A new deep boosted CNN and ensemble learning based IoT malware detection. - Saddam Hussain Khan; Tahani Jaser Alahmadi; Wasi Ullah; Javed Iqbal 002; Azizur Rahim; Hend Khalid Alkahtani; Wajdi Alghamdi; Alaa Omran Almagrabi (Comput. Secur., 2023)

DeepAIPs-Pred: Predicting Anti-Inflammatory Peptides Using Local Evolutionary Transformation Images and Structural Embedding-Based Optimal Descriptors with Self-Normalized BiTCNs. - Shahid Akbar; Matee Ullah; Ali Raza; Quan Zou 001; Wajdi Alghamdi (J. Chem. Inf. Model., 2024)

IP-GCN: A deep learning model for prediction of insulin using graph convolutional network for diabetes drug design. - Farman Ali 002; Majdi Khalid; Abdullah Almuhaimeed; Atef Masmoudi; Wajdi Alghamdi; Ayman Yafoz (J. Comput. Sci., 2024)

VEGF-ERCNN: A deep learning-based model for prediction of vascular endothelial growth factor using ensemble residual CNN. - Farman Ali 002; Majdi Khalid; Atef Masmoudi; Wajdi Alghamdi; Ayman Yafoz; Raed Alsini (J. Comput. Sci., 2024)

pACPs-DNN: Predicting anticancer peptides using novel peptide transformation into evolutionary and structure matrix-based images with self-attention deep learning model. - Shahid; Maqsood Hayat; Ali Raza; Shahid Akbar; Wajdi Alghamdi; Nadeem Iqbal 002; Quan Zou 001 (Comput. Biol. Chem., 2025)

Leveraging deep learning for epigenetic protein prediction: a novel approach for early lung cancer diagnosis and drug discovery. - Farman Ali 002; Abdullah Almuhaimeed; Wajdi Alghamdi; Haya Aldossary; Othman Asiry; Atef Masmoudi (Health Inf. Sci. Syst., 2025)