Wajdi Alghamdi

23 papers C 3Misc 2Journal 15Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	DeepPFT-GANCap: An explainable attention-based hybrid deep learning framework integrating protein language models and wavelet denoising-based evolutionary features for photosystem-II core protein prediction. Ecol. Informatics Wajdi Alghamdi, Farman Ali, Abdulmohsen Algarni, Omar Alghushairy, Majdi Khalid, Meng-Ze Du
2025	J	`jnl`	Accelerating Prediction of Antiviral Peptides Using Genetic Algorithm-Based Weighted Multiperspective Descriptors with Self-Normalized Deep Networks. J. Chem. Inf. Model. Shahid Akbar, Ali Raza, Quan Zou, Wajdi Alghamdi, Xiaorui Kang, Hashim Ali, Ximei Luo
2025	J	`jnl`	Deep-CABPred: Deep learning model for predicting functional chlorophyll a-b binding proteins in trait-based plant ecology using hybrid embedding with semi-normalized temporal convolutional networks. Ecol. Informatics Farman Ali, Raed Alsini, Tamim Alkhalifah, Fahad Alturise, Wajdi Alghamdi, Majdi Khalid
2025	J	`jnl`	Leveraging deep learning for epigenetic protein prediction: a novel approach for early lung cancer diagnosis and drug discovery. Health Inf. Sci. Syst. Farman Ali, Abdullah Almuhaimeed, Wajdi Alghamdi, Haya Aldossary, Othman Asiry, Atef Masmoudi
2025	J	`jnl`	pACPs-DNN: Predicting anticancer peptides using novel peptide transformation into evolutionary and structure matrix-based images with self-attention deep learning model. Comput. Biol. Chem. Shahid, Maqsood Hayat, Ali Raza, Shahid Akbar, Wajdi Alghamdi, Nadeem Iqbal, Quan Zou
2024	J	`jnl`	DeepAIPs-Pred: Predicting Anti-Inflammatory Peptides Using Local Evolutionary Transformation Images and Structural Embedding-Based Optimal Descriptors with Self-Normalized BiTCNs. J. Chem. Inf. Model. Shahid Akbar, Matee Ullah, Ali Raza, Quan Zou, Wajdi Alghamdi
2024	J	`jnl`	IP-GCN: A deep learning model for prediction of insulin using graph convolutional network for diabetes drug design. J. Comput. Sci. Farman Ali, Majdi Khalid, Abdullah Almuhaimeed, Atef Masmoudi, Wajdi Alghamdi, Ayman Yafoz
2024	J	`jnl`	VEGF-ERCNN: A deep learning-based model for prediction of vascular endothelial growth factor using ensemble residual CNN. J. Comput. Sci. Farman Ali, Majdi Khalid, Atef Masmoudi, Wajdi Alghamdi, Ayman Yafoz, Raed Alsini
2023	J	`jnl`	A new deep boosted CNN and ensemble learning based IoT malware detection. Comput. Secur. Saddam Hussain Khan, Tahani Jaser Alahmadi, Wasi Ullah, Javed Iqbal, Azizur Rahim, Hend Khalid Alkahtani, Wajdi Alghamdi, Alaa Omran Almagrabi
2023	J	`jnl`	AFP-SPTS: An Accurate Prediction of Antifreeze Proteins Using Sequential and Pseudo-Tri-Slicing Evolutionary Features with an Extremely Randomized Tree. J. Chem. Inf. Model. Adnan Khan, Jamal Uddin, Farman Ali, Harish Kumar, Wajdi Alghamdi, Aftab Ahmad
2022	J	`jnl`	DBP-CNN: Deep learning-based prediction of DNA-binding proteins by coupling discrete cosine transform with two-dimensional convolutional neural network. Expert Syst. Appl. Omar Barukab, Farman Ali, Wajdi Alghamdi, Yoosef Bassam, Sher Afzal Khan
2022	J	`jnl`	LBCEPred: a machine learning model to predict linear B-cell epitopes. Briefings Bioinform. Wajdi Alghamdi, Muhammad Attique, Ebraheem Alzahrani, Malik Zaka Ullah, Yaser Daanial Khan
2022	J	`jnl`	Semi-Supervised Skin Lesion Segmentation With Coupling CNN and Transformer Features. IEEE Access Mohammad Alahmadi, Wajdi Alghamdi
2022	J	`jnl`	Structure preserving loss function for single image super resolution. Displays Naman Tuli, Suresh Chandra Raikwar, Mohammad Alahmadi, Wajdi Alghamdi, Harpreet Singh, Prashant Singh Rana
2018	C	`conf`	A Machine Learning Framework for Predicting Dementia and Mild Cognitive Impairment. ICMLA Daniel Stamate, Wajdi Alghamdi, Jeremy Ogg, Richard Hoile, Fionn Murtagh
2018	—	`conf`	A New Machine Learning Framework for Understanding the Link Between Cannabis Use and First-Episode Psychosis. eHealth Wajdi Alghamdi, Daniel Stamate, Daniel Stahl, Alexander Zamyatin, Robin M. Murray, Marta Di Forti
2018	Misc	`conf`	Can Artificial Neural Networks Predict Psychiatric Conditions Associated with Cannabis Use? AIAI Daniel Stamate, Wajdi Alghamdi, Daniel Stahl, Alexander Zamyatin, Robin M. Murray, Marta Di Forti
2018	Misc	`conf`	PIDT: A Novel Decision Tree Algorithm Based on Parameterised Impurities and Statistical Pruning Approaches. AIAI Daniel Stamate, Wajdi Alghamdi, Daniel Stahl, Doina Logofatu, Alexander Zamyatin
2018	—	`conf`	Predicting First-Episode Psychosis Associated with Cannabis Use with Artificial Neural Networks and Deep Learning. IPMU (3) Daniel Stamate, Wajdi Alghamdi, Daniel Stahl, Ida M. Pu, Fionn Murtagh, Danielle Belgrave, Robin M. Murray, Marta Di Forti
2018	—	`—`	Predictive modelling approach to data-driven computational psychiatry. Wajdi Alghamdi
2017	C	`conf`	Predicting Psychosis Using the Experience Sampling Method with Mobile Apps. ICMLA Daniel Stamate, Andrea Katrinecz, Wajdi Alghamdi, Daniel Stahl, Philippe Delespaul, Jim van Os, Sinan Guloksuz
2017	J	`jnl`	Swarmic approach for symmetry detection of cellular automata behaviour. Soft Comput. Mohammad Ali Javaheri Javid, Wajdi Alghamdi, Anna Ursyn, Robert Zimmer, Mohammad Majid al-Rifaie
2016	C	`conf`	A Prediction Modelling and Pattern Detection Approach for the First-Episode Psychosis Associated to Cannabis Use. ICMLA Wajdi Alghamdi, Daniel Stamate, Katherine Vang, Daniel Stahl, Marco Colizzi, Giada Tripoli, Diego Quattrone, Olesya Ajnakina, Robin M. Murray, Marta Di Forti