Automated classification and characterization of the mitotic spindle following knockdown of a mitosis-related protein. - Matloob Khushi; Imraan M. Dean; Erdahl T. Teber; Megan Chircop; Jonathan W. Arthur; Neftali Flores-Rodriguez (BMC Bioinform., 2017)

Predicting Functional Interactions Among DNA-Binding Proteins. - Matloob Khushi; Nazim Choudhury; Jonathan W. Arthur; Christine L. Clarke; J. Dinny Graham (ICONIP (5), 2018)

Machine Learning Based Method for Huntington's Disease Gait Pattern Recognition. - Xiuyu Huang; Matloob Khushi; Mark Latt; Clement Loy; Simon K. Poon (ICONIP (4), 2019)

Semi-supervised Regularized Coplanar Discriminant Analysis. - Rakesh Kumar Sanodiya; Michelle Davies Thalakottur; Jimson Mathew; Matloob Khushi (ICONIP (5), 2019)

IMDB-Attire: A Novel Dataset for Attire Detection and Localization. - Saad Bin Yousuf; Hasan Sajid; Simon K. Poon; Matloob Khushi (ICONIP (2), 2019)

Towards an LSTM-based Predictive Framework for Literature-based Knowledge Discovery. - Nazim Choudhury; Fahim Faisal; Matloob Khushi (CoRR, 2019)

Predicting High-Risk Prostate Cancer Using Machine Learning Methods. - Henry Barlow; Shunqi Mao; Matloob Khushi (Data, 2019)

Reinforcement Learning in Financial Markets. - Terry Lingze Meng; Matloob Khushi (Data, 2019)

Wavelet Denoised-ResNet CNN and LightGBM Method to Predict Forex Rate of Change. - Yiqi Zhao; Matloob Khushi (ICDM (Workshops), 2020)

Protein-Protein Interactions Prediction Based on Bi-directional Gated Recurrent Unit and Multimodal Representation. - Kanchan Jha; Sriparna Saha 001; Matloob Khushi (ICONIP (5), 2020)

Data Mining ENCODE Data Predicts a Significant Role of SINA3 in Human Liver Cancer. - Matloob Khushi; Usman Naseem; Jonathan Du; Anis Khan; Simon K. Poon (ICONIP (3), 2020)

Machine Learned Pulse Transit Time (MLPTT) Measurements from Photoplethysmography. - Philip Mehrgardt; Matloob Khushi; Anusha I. Withana; Simon K. Poon (ICONIP (3), 2020)

Diabetic Retinopathy Detection Using Multi-layer Neural Networks and Split Attention with Focal Loss. - Usman Naseem; Matloob Khushi; Shah Khalid Khan; Nazar Waheed; Adnan Mir; Atika Qazi; Bandar Alshammari; Simon K. Poon (ICONIP (3), 2020)

Classification of Neuroblastoma Histopathological Images Using Machine Learning. - Adhish Panta; Matloob Khushi; Usman Naseem; Paul J. Kennedy; Daniel R. Catchpoole (ICONIP (3), 2020)

Statistical and Geometrical Alignment using Metric Learning in Domain Adaptation. - Rakesh Kumar Sanodiya; Alwyn Mathew; Jimson Mathew; Matloob Khushi (IJCNN, 2020)

Wavelet Denoising and Attention-based RNN- ARIMA Model to Predict Forex Price. - Zhiwen Zeng; Matloob Khushi (IJCNN, 2020)

GA-MSSR: Genetic Algorithm Maximizing Sharpe and Sterling Ratio Method for RoboTrading. - Zezheng Zhang; Matloob Khushi (IJCNN, 2020)

An Investigation of Credit Card Default Prediction in the Imbalanced Datasets. - Talha Mahboob Alam; Kamran Shaukat; Ibrahim A. Hameed; Suhuai Luo; Muhammad Umer Sarwar; Shakir Shabbir; Jiaming Li 001; Matloob Khushi (IEEE Access, 2020)

Benchmarking database performance for genomic data. - Matloob Khushi (CoRR, 2020)

Open source tools for management and archiving of digital microscopy data to allow integration with patient pathology and treatment information. - Matloob Khushi; Georgina Edwards; Diego Alonso de Marcos; Jane E. Carpenter; J. Dinny Graham; Christine L. Clarke (CoRR, 2020)

U-Net Segmented Adjacent Angle Detection (USAAD) for Automatic Analysis of Corneal Nerve Structures. - Philip Mehrgardt; Seid Miad Zandavi; Simon K. Poon; Juno Kim; Maria Markoulli; Matloob Khushi (Data, 2020)

Mining Temporal Evolution of Knowledge Graphs and Genealogical Features for Literature-based Discovery Prediction. - Nazim Choudhury; Fahim Faisal; Matloob Khushi (J. Informetrics, 2020)

A Multi-view Classification Framework for Falls Prediction: Multiple-domain Assessments in Parkinson's Disease. - Xiuyu Huang; Mark Latt; Matloob Khushi; Paulo Pelicioni; Matthew A. Brodie; Stephen R. Lord; Clement Loy; Simon K. Poon (HICSS, 2021)

Grading Diabetic Retinopathy Severity Using Modern Convolution Neural Networks (CNN). - Andrew Lee; Matloob Khushi; Patrick Hao; Shahadat Uddin; Simon K. Poon (ICDH, 2021)

Lung Cancer Prediction Using Curriculum Learning Based Deep Neural Networks. - Jackson Zhou; Matloob Khushi; Mohammad Ali Moni; Shahadat Uddin; Simon K. Poon (ICDH, 2021)

Classifying vaccine sentiment tweets by modelling domain-specific representation and commonsense knowledge into context-aware attentive GRU. - Usman Naseem; Matloob Khushi; Jinman Kim; Adam G. Dunn (IJCNN, 2021)

BioALBERT: A Simple and Effective Pre-trained Language Model for Biomedical Named Entity Recognition. - Usman Naseem; Matloob Khushi; Vinay Reddy; Sakthivel Rajendran; Imran Razzak; Jinman Kim (IJCNN, 2021)

Robust Dual Recurrent Neural Networks for Financial Time Series Prediction. - Jiayu He; Matloob Khushi; Nguyen Hoang Tran; Tongliang Liu (SDM, 2021)

A Comparative Performance Analysis of Data Resampling Methods on Imbalance Medical Data. - Matloob Khushi; Kamran Shaukat; Talha Mahboob Alam; Ibrahim A. Hameed; Shahadat Uddin; Suhuai Luo; Xiaoyan Yang; Maranatha Consuelo Reyes (IEEE Access, 2021)

Corporate Bankruptcy Prediction: An Approach Towards Better Corporate World. - Talha Mahboob Alam; Kamran Shaukat; Mubbashar Mushtaq; Yasir Ali; Matloob Khushi; Suhuai Luo; Abdul Wahab (Comput. J., 2021)

Portfolio Optimization with 2D Relative-Attentional Gated Transformer. - Tae Wan Kim; Matloob Khushi (CoRR, 2021)

SMOTE-ENC: A novel SMOTE-based method to generate synthetic data for nominal and continuous features. - Mimi Mukherjee; Matloob Khushi (CoRR, 2021)

Feature Learning for Stock Price Prediction Shows a Significant Role of Analyst Rating. - Jaideep Singh; Matloob Khushi (CoRR, 2021)

Text Mining of Stocktwits Data for Predicting Stock Prices. - Mukul Jaggi; Priyanka Mandal; Shreya Narang; Usman Naseem; Matloob Khushi (CoRR, 2021)

Clustering and attention model based for Intelligent Trading. - Mimansa Rana; Nanxiang Mao; Ming Ao; Xiaohui Wu; Poning Liang; Matloob Khushi (CoRR, 2021)

Learning Non-Stationary Time-Series with Dynamic Pattern Extractions. - Xipei Wang; Haoyu Zhang; Yuanbo Zhang; Meng Wang; Jiarui Song; Tin Lai; Matloob Khushi (CoRR, 2021)

COVIDSenti: A Large-Scale Benchmark Twitter Data Set for COVID-19 Sentiment Analysis. - Usman Naseem; Imran Razzak; Matloob Khushi; Peter W. Eklund; Jinman Kim (IEEE Trans. Comput. Soc. Syst., 2021)

Predictive risk modelling in mental health issues using machine learning on graphs. - Haohui Lu; Shahadat Uddin; Farshid Hajati; Matloob Khushi; Mohammad Ali Moni (ACSW, 2022)

Stock Predictor with Graph Laplacian-Based Multi-task Learning. - Jiayu He; Nguyen Hoang Tran; Matloob Khushi (ICCS (1), 2022)

Early Identification of Depression Severity Levels on Reddit Using Ordinal Classification. - Usman Naseem; Adam G. Dunn; Jinman Kim; Matloob Khushi (WWW, 2022)

Identification of Disease or Symptom terms in Reddit to Improve Health Mention Classification. - Usman Naseem; Jinman Kim; Matloob Khushi; Adam G. Dunn (WWW, 2022)

A patient network-based machine learning model for disease prediction: The case of type 2 diabetes mellitus. - Haohui Lu; Shahadat Uddin; Farshid Hajati; Mohammad Ali Moni; Matloob Khushi (Appl. Intell., 2022)

Benchmarking for biomedical natural language processing tasks with a domain specific ALBERT. - Usman Naseem; Adam G. Dunn; Matloob Khushi; Jinman Kim (BMC Bioinform., 2022)

Benchmarking for Public Health Surveillance tasks on Social Media with a Domain-Specific Pretrained Language Model. - Usman Naseem; Byoung-Chan Lee; Matloob Khushi; Jinman Kim; Adam G. Dunn (CoRR, 2022)

Comorbidity and multimorbidity prediction of major chronic diseases using machine learning and network analytics. - Shahadat Uddin; Shangzhou Wang; Haohui Lu; Arif Khan 001; Farshid Hajati; Matloob Khushi (Expert Syst. Appl., 2022)

A machine learning software tool for multiclass classification. - Shangzhou Wang; Haohui Lu; Arif Khan 001; Farshid Hajati; Matloob Khushi; Shahadat Uddin (Softw. Impacts, 2022)

Learning Nonstationary Time-Series With Dynamic Pattern Extractions. - Xipei Wang; Haoyu Zhang; Yuanbo Zhang; Meng Wang; Jiarui Song; Tin Lai; Matloob Khushi (IEEE Trans. Artif. Intell., 2022)

Fed-mSSA: A Federated Approach for Spatio-Temporal Data Modeling Using Multivariate Singular Spectrum Analysis. - Jiayu He; Matloob Khushi; Tung-Anh Nguyen; Nguyen Hoang Tran (ICDM, 2023)

A Multimodal Framework for the Identification of Vaccine Critical Memes on Twitter. - Usman Naseem; Jinman Kim; Matloob Khushi; Adam G. Dunn (WSDM, 2023)

Graph-Based Hierarchical Attention Network for Suicide Risk Detection on Social Media. - Usman Naseem; Jinman Kim; Matloob Khushi; Adam G. Dunn (WWW (Companion Volume), 2023)

Robust Identification of Figurative Language in Personal Health Mentions on Twitter. - Usman Naseem; Jinman Kim; Matloob Khushi; Adam G. Dunn (IEEE Trans. Artif. Intell., 2023)

Vision-Language Transformer for Interpretable Pathology Visual Question Answering. - Usman Naseem; Matloob Khushi; Jinman Kim (IEEE J. Biomed. Health Informatics, 2023)

RHMD: A Real-World Dataset for Health Mention Classification on Reddit. - Usman Naseem; Matloob Khushi; Jinman Kim; Adam G. Dunn (IEEE Trans. Comput. Soc. Syst., 2023)

ConanVarvar: a versatile tool for the detection of large syndromic copy number variation from whole-genome sequencing data. - Mikhail Gudkov; Loïc Thibaut; Matloob Khushi; Gillian M. Blue; David S. Winlaw; Sally L. Dunwoodie; Eleni Giannoulatou (BMC Bioinform., 2023)

Vaccine Misinformation Detection in X using Cooperative Multimodal Framework. - Usman Naseem; Adam G. Dunn; Matloob Khushi; Jinman Kim (ACM Multimedia, 2024)

A Linguistic Grounding-Infused Contrastive Learning Approach for Health Mention Classification on Social Media. - Usman Naseem; Jinman Kim; Matloob Khushi; Adam G. Dunn (WSDM, 2024)

Bridging the Gap Between Machine and Human in Stock Prediction: Addressing Heterogeneity in Stock Market. - Xiaobin Lu; Josiah Poon; Matloob Khushi (IEEE Access, 2024)

Graph neural network-based subgraph analysis for predicting adverse drug events. - Fangyu Zhou; Matloob Khushi; Jonathan Brett; Shahadat Uddin (Comput. Biol. Medicine, 2024)

K-PathVQA: Knowledge-Aware Multimodal Representation for Pathology Visual Question Answering. - Usman Naseem; Matloob Khushi; Adam G. Dunn; Jinman Kim (IEEE J. Biomed. Health Informatics, 2024)

Hybrid Text Representation for Explainable Suicide Risk Identification on Social Media. - Usman Naseem; Matloob Khushi; Jinman Kim; Adam G. Dunn (IEEE Trans. Comput. Soc. Syst., 2024)

KG-UQ: Knowledge Graph-Based Uncertainty Quantification for Long Text in Large Language Models. - Yingqing Yuan; Linwei Tao; Haohui Lu; Matloob Khushi; Imran Razzak; Mark Dras; Jian Yang 001; Usman Naseem (WWW (Companion Volume), 2025)

Leveraging BiLSTM-GAT for enhanced stock market prediction: a dual-graph approach to portfolio optimization. - Xiaobin Lu; Josiah Poon; Matloob Khushi (Appl. Intell., 2025)