Wajdi Alghamdi

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 15

Top Topics

Symmetry Detection

Single Image Super Resolution

Top Venues

Publications

Farman Ali, Majdi Khalid, Abdullah Almuhaimeed, Atef Masmoudi, Wajdi Alghamdi, Ayman Yafoz
IP-GCN: A deep learning model for prediction of insulin using graph convolutional network for diabetes drug design. J. Comput. Sci. 81 (2024)
Saddam Hussain Khan, Tahani Jaser Alahmadi, Wasi Ullah, Javed Iqbal, Azizur Rahim, Hend Khalid Alkahtani, Wajdi Alghamdi, Alaa Omran Almagrabi
A new deep boosted CNN and ensemble learning based IoT malware detection. Comput. Secur. 133 (2023)
Adnan Khan, Jamal Uddin, Farman Ali, Harish Kumar, Wajdi Alghamdi, Aftab Ahmad
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. 63 (3) (2023)
Omar Barukab, Farman Ali, Wajdi Alghamdi, Yoosef Bassam, Sher Afzal Khan
DBP-CNN: Deep learning-based prediction of DNA-binding proteins by coupling discrete cosine transform with two-dimensional convolutional neural network. Expert Syst. Appl. 197 (2022)
Naman Tuli, Suresh Chandra Raikwar, Mohammad Alahmadi, Wajdi Alghamdi, Harpreet Singh, Prashant Singh Rana
Structure preserving loss function for single image super resolution. Displays 75 (2022)
Mohammad Alahmadi, Wajdi Alghamdi
Semi-Supervised Skin Lesion Segmentation With Coupling CNN and Transformer Features. IEEE Access 10 (2022)
Wajdi Alghamdi, Muhammad Attique, Ebraheem Alzahrani, Malik Zaka Ullah, Yaser Daanial Khan
LBCEPred: a machine learning model to predict linear B-cell epitopes. Briefings Bioinform. 23 (3) (2022)
Daniel Stamate, Wajdi Alghamdi, Daniel Stahl, Ida M. Pu, Fionn Murtagh, Danielle Belgrave, Robin M. Murray, Marta Di Forti
Predicting First-Episode Psychosis Associated with Cannabis Use with Artificial Neural Networks and Deep Learning. IPMU (3) (2018)
Wajdi Alghamdi, Daniel Stamate, Daniel Stahl, Alexander Zamyatin, Robin M. Murray, Marta Di Forti
A New Machine Learning Framework for Understanding the Link Between Cannabis Use and First-Episode Psychosis. eHealth (2018)
Daniel Stamate, Wajdi Alghamdi, Jeremy Ogg, Richard Hoile, Fionn Murtagh
A Machine Learning Framework for Predicting Dementia and Mild Cognitive Impairment. ICMLA (2018)
Daniel Stamate, Wajdi Alghamdi, Daniel Stahl, Alexander Zamyatin, Robin M. Murray, Marta Di Forti
Can Artificial Neural Networks Predict Psychiatric Conditions Associated with Cannabis Use? AIAI (2018)
Daniel Stamate, Wajdi Alghamdi, Daniel Stahl, Doina Logofatu, Alexander Zamyatin
PIDT: A Novel Decision Tree Algorithm Based on Parameterised Impurities and Statistical Pruning Approaches. AIAI (2018)
Daniel Stamate, Andrea Katrinecz, Wajdi Alghamdi, Daniel Stahl, Philippe Delespaul, Jim van Os, Sinan Guloksuz
Predicting Psychosis Using the Experience Sampling Method with Mobile Apps. ICMLA (2017)
Mohammad Ali Javaheri Javid, Wajdi Alghamdi, Anna Ursyn, Robert Zimmer, Mohammad Majid al-Rifaie
Swarmic approach for symmetry detection of cellular automata behaviour. Soft Comput. 21 (19) (2017)
Wajdi Alghamdi, Daniel Stamate, Katherine Vang, Daniel Stahl, Marco Colizzi, Giada Tripoli, Diego Quattrone, Olesya Ajnakina, Robin M. Murray, Marta Di Forti
A Prediction Modelling and Pattern Detection Approach for the First-Episode Psychosis Associated to Cannabis Use. ICMLA (2016)