Digging More in Neural World: An Efficient Approach for Hyperspectral Image Classification Using Convolutional Neural Network. - Adnan Iltaf; Matee Ullah; Junling Shen; Zebin Wu 001; Chuancai Liu; Zeeshan Ahmad (GSKI (2), 2017)

PScL-HDeep: image-based prediction of protein subcellular location in human tissue using ensemble learning of handcrafted and deep learned features with two-layer feature selection. - Matee Ullah; Ke Han; Fazal Hadi; Jian Xu 009; Jiangning Song; Dong-Jun Yu (Briefings Bioinform., 2021)

PScL-DDCFPred: an ensemble deep learning-based approach for characterizing multiclass subcellular localization of human proteins from bioimage data. - Matee Ullah; Fazal Hadi; Jiangning Song; Dong-Jun Yu (Bioinform., 2022)

DHCAE: Deep Hybrid Convolutional Autoencoder Approach for Robust Supervised Hyperspectral Unmixing. - Fazal Hadi; Jingxiang Yang; Matee Ullah; Irfan Ahmad 009; Ghulam Farooque; Liang Xiao 001 (Remote. Sens., 2022)

PScL-2LSAESM: bioimage-based prediction of protein subcellular localization by integrating heterogeneous features with the two-level SAE-SM and mean ensemble method. - Matee Ullah; Fazal Hadi; Jiangning Song; Dong-Jun Yu (Bioinform., 2023)

TargetCLP: clathrin proteins prediction combining transformed and evolutionary scale modeling-based multi-view features via weighted feature integration approach. - Matee Ullah; Shahid Akbar; Ali Raza; Kashif Ahmad Khan; Quan Zou 001 (Briefings Bioinform., 2024)

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)