Matloob Khushi

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 62

Top Topics

Machine Learning

Top Venues

Publications

Usman Naseem, Jinman Kim, Matloob Khushi, Adam G. Dunn
A Linguistic Grounding-Infused Contrastive Learning Approach for Health Mention Classification on Social Media. WSDM (2024)
Usman Naseem, Matloob Khushi, Adam G. Dunn, Jinman Kim
K-PathVQA: Knowledge-Aware Multimodal Representation for Pathology Visual Question Answering. IEEE J. Biomed. Health Informatics 28 (4) (2024)
Usman Naseem, Matloob Khushi, Jinman Kim, Adam G. Dunn
Hybrid Text Representation for Explainable Suicide Risk Identification on Social Media. IEEE Trans. Comput. Soc. Syst. 11 (4) (2024)
Usman Naseem, Jinman Kim, Matloob Khushi, Adam G. Dunn
Robust Identification of Figurative Language in Personal Health Mentions on Twitter. IEEE Trans. Artif. Intell. 4 (2) (2023)
Usman Naseem, Matloob Khushi, Jinman Kim, Adam G. Dunn
RHMD: A Real-World Dataset for Health Mention Classification on Reddit. IEEE Trans. Comput. Soc. Syst. 10 (5) (2023)
Usman Naseem, Jinman Kim, Matloob Khushi, Adam G. Dunn
A Multimodal Framework for the Identification of Vaccine Critical Memes on Twitter. WSDM (2023)
Usman Naseem, Jinman Kim, Matloob Khushi, Adam G. Dunn
Graph-Based Hierarchical Attention Network for Suicide Risk Detection on Social Media. WWW (Companion Volume) (2023)
Mikhail Gudkov, Loïc Thibaut, Matloob Khushi, Gillian M. Blue, David S. Winlaw, Sally L. Dunwoodie, Eleni Giannoulatou
ConanVarvar: a versatile tool for the detection of large syndromic copy number variation from whole-genome sequencing data. BMC Bioinform. 24 (1) (2023)
Jiayu He, Matloob Khushi, Tung-Anh Nguyen, Nguyen Hoang Tran
Fed-mSSA: A Federated Approach for Spatio-Temporal Data Modeling Using Multivariate Singular Spectrum Analysis. ICDM (2023)
Usman Naseem, Matloob Khushi, Jinman Kim
Vision-Language Transformer for Interpretable Pathology Visual Question Answering. IEEE J. Biomed. Health Informatics 27 (4) (2023)
Haohui Lu, Shahadat Uddin, Farshid Hajati, Mohammad Ali Moni, Matloob Khushi
A patient network-based machine learning model for disease prediction: The case of type 2 diabetes mellitus. Appl. Intell. 52 (3) (2022)
Haohui Lu, Shahadat Uddin, Farshid Hajati, Matloob Khushi, Mohammad Ali Moni
Predictive risk modelling in mental health issues using machine learning on graphs. ACSW (2022)
Jiayu He, Nguyen Hoang Tran, Matloob Khushi
Stock Predictor with Graph Laplacian-Based Multi-task Learning. ICCS (1) (2022)
Usman Naseem, Adam G. Dunn, Jinman Kim, Matloob Khushi
Early Identification of Depression Severity Levels on Reddit Using Ordinal Classification. WWW (2022)
Shahadat Uddin, Shangzhou Wang, Haohui Lu, Arif Khan, Farshid Hajati, Matloob Khushi
Comorbidity and multimorbidity prediction of major chronic diseases using machine learning and network analytics. Expert Syst. Appl. 205 (2022)
Usman Naseem, Adam G. Dunn, Matloob Khushi, Jinman Kim
Benchmarking for biomedical natural language processing tasks with a domain specific ALBERT. BMC Bioinform. 23 (1) (2022)
Xipei Wang, Haoyu Zhang, Yuanbo Zhang, Meng Wang, Jiarui Song, Tin Lai, Matloob Khushi
Learning Nonstationary Time-Series With Dynamic Pattern Extractions. IEEE Trans. Artif. Intell. 3 (5) (2022)
Shangzhou Wang, Haohui Lu, Arif Khan, Farshid Hajati, Matloob Khushi, Shahadat Uddin
A machine learning software tool for multiclass classification. Softw. Impacts 13 (2022)
Usman Naseem, Byoung-Chan Lee, Matloob Khushi, Jinman Kim, Adam G. Dunn
Benchmarking for Public Health Surveillance tasks on Social Media with a Domain-Specific Pretrained Language Model. CoRR (2022)
Usman Naseem, Jinman Kim, Matloob Khushi, Adam G. Dunn
Identification of Disease or Symptom terms in Reddit to Improve Health Mention Classification. WWW (2022)
Xipei Wang, Haoyu Zhang, Yuanbo Zhang, Meng Wang, Jiarui Song, Tin Lai, Matloob Khushi
Learning Non-Stationary Time-Series with Dynamic Pattern Extractions. CoRR (2021)
Mimansa Rana, Nanxiang Mao, Ming Ao, Xiaohui Wu, Poning Liang, Matloob Khushi
Clustering and attention model based for Intelligent Trading. CoRR (2021)
Jackson Zhou, Matloob Khushi, Mohammad Ali Moni, Shahadat Uddin, Simon K. Poon
Lung Cancer Prediction Using Curriculum Learning Based Deep Neural Networks. ICDH (2021)
Usman Naseem, Matloob Khushi, Jinman Kim, Adam G. Dunn
Classifying vaccine sentiment tweets by modelling domain-specific representation and commonsense knowledge into context-aware attentive GRU. IJCNN (2021)
Tae Wan Kim, Matloob Khushi
Portfolio Optimization with 2D Relative-Attentional Gated Transformer. CoRR (2021)
Jiayu He, Matloob Khushi, Nguyen H. Tran, Tongliang Liu
Robust Dual Recurrent Neural Networks for Financial Time Series Prediction. SDM (2021)
Mukul Jaggi, Priyanka Mandal, Shreya Narang, Usman Naseem, Matloob Khushi
Text Mining of Stocktwits Data for Predicting Stock Prices. CoRR (2021)
Usman Naseem, Imran Razzak, Matloob Khushi, Peter W. Eklund, Jinman Kim
COVIDSenti: A Large-Scale Benchmark Twitter Data Set for COVID-19 Sentiment Analysis. IEEE Trans. Comput. Soc. Syst. 8 (4) (2021)
Mimi Mukherjee, Matloob Khushi
SMOTE-ENC: A novel SMOTE-based method to generate synthetic data for nominal and continuous features. CoRR (2021)
Matloob Khushi, Kamran Shaukat, Talha Mahboob Alam, Ibrahim A. Hameed, Shahadat Uddin, Suhuai Luo, Xiaoyan Yang, Maranatha Consuelo Reyes
A Comparative Performance Analysis of Data Resampling Methods on Imbalance Medical Data. IEEE Access 9 (2021)
Usman Naseem, Matloob Khushi, Vinay Reddy, Sakthivel Rajendran, Imran Razzak, Jinman Kim
BioALBERT: A Simple and Effective Pre-trained Language Model for Biomedical Named Entity Recognition. IJCNN (2021)
Talha Mahboob Alam, Kamran Shaukat, Mubbashar Mushtaq, Yasir Ali, Matloob Khushi, Suhuai Luo, Abdul Wahab
Corporate Bankruptcy Prediction: An Approach Towards Better Corporate World. Comput. J. 64 (11) (2021)
Usman Naseem, Adam G. Dunn, Matloob Khushi, Jinman Kim
Benchmarking for Biomedical Natural Language Processing Tasks with a Domain Specific ALBERT. CoRR (2021)
Andrew Lee, Matloob Khushi, Patrick Hao, Shahadat Uddin, Simon K. Poon
Grading Diabetic Retinopathy Severity Using Modern Convolution Neural Networks (CNN). ICDH (2021)
Usman Naseem, Matloob Khushi, Jinman Kim, Adam G. Dunn
Classifying vaccine sentiment tweets by modelling domain-specific representation and commonsense knowledge into context-aware attentive GRU. CoRR (2021)
Xiuyu Huang, Mark Latt, Matloob Khushi, Paulo Pelicioni, Matthew A. Brodie, Stephen R. Lord, Clement Loy, Simon K. Poon
A Multi-view Classification Framework for Falls Prediction: Multiple-domain Assessments in Parkinson's Disease. HICSS (2021)
Jaideep Singh, Matloob Khushi
Feature Learning for Stock Price Prediction Shows a Significant Role of Analyst Rating. CoRR (2021)
Philip Mehrgardt, Matloob Khushi, Anusha I. Withana, Simon K. Poon
Machine Learned Pulse Transit Time (MLPTT) Measurements from Photoplethysmography. ICONIP (3) (2020)
Nazim Choudhury, Fahim Faisal, Matloob Khushi
Mining Temporal Evolution of Knowledge Graphs and Genealogical Features for Literature-based Discovery Prediction. J. Informetrics 14 (3) (2020)
Zezheng Zhang, Matloob Khushi
GA-MSSR: Genetic Algorithm Maximizing Sharpe and Sterling Ratio Method for RoboTrading. CoRR (2020)
Yiqi Zhao, Matloob Khushi
Wavelet Denoised-ResNet CNN and LightGBM Method to Predict Forex Rate of Change. ICDM (Workshops) (2020)
Matloob Khushi, Georgina Edwards, Diego Alonso de Marcos, Jane E. Carpenter, J. Dinny Graham, Christine L. Clarke
Open source tools for management and archiving of digital microscopy data to allow integration with patient pathology and treatment information. CoRR (2020)
Matloob Khushi
Benchmarking database performance for genomic data. CoRR (2020)
Philip Mehrgardt, Seid Miad Zandavi, Simon K. Poon, Juno Kim, Maria Markoulli, Matloob Khushi
U-Net Segmented Adjacent Angle Detection (USAAD) for Automatic Analysis of Corneal Nerve Structures. Data 5 (2) (2020)
Talha Mahboob Alam, Kamran Shaukat, Ibrahim A. Hameed, Suhuai Luo, Muhammad Umer Sarwar, Shakir Shabbir, Jiaming Li, Matloob Khushi
An Investigation of Credit Card Default Prediction in the Imbalanced Datasets. IEEE Access 8 (2020)
Zhiwen Zeng, Matloob Khushi
Wavelet Denoising and Attention-based RNN- ARIMA Model to Predict Forex Price. IJCNN (2020)
Kanchan Jha, Sriparna Saha, Matloob Khushi
Protein-Protein Interactions Prediction Based on Bi-directional Gated Recurrent Unit and Multimodal Representation. ICONIP (5) (2020)
Adhish Panta, Matloob Khushi, Usman Naseem, Paul J. Kennedy, Daniel R. Catchpoole
Classification of Neuroblastoma Histopathological Images Using Machine Learning. ICONIP (3) (2020)
Rakesh Kumar Sanodiya, Alwyn Mathew, Jimson Mathew, Matloob Khushi
Statistical and Geometrical Alignment using Metric Learning in Domain Adaptation. IJCNN (2020)
Usman Naseem, Matloob Khushi, Vinay Reddy, Sakthivel Rajendran, Imran Razzak, Jinman Kim
BioALBERT: A Simple and Effective Pre-trained Language Model for Biomedical Named Entity Recognition. CoRR (2020)
Matloob Khushi, Usman Naseem, Jonathan Du, Anis Khan, Simon K. Poon
Data Mining ENCODE Data Predicts a Significant Role of SINA3 in Human Liver Cancer. ICONIP (3) (2020)
Zezheng Zhang, Matloob Khushi
GA-MSSR: Genetic Algorithm Maximizing Sharpe and Sterling Ratio Method for RoboTrading. IJCNN (2020)
Zhiwen Zeng, Matloob Khushi
Wavelet Denoising and Attention-based RNN-ARIMA Model to Predict Forex Price. CoRR (2020)
Usman Naseem, Matloob Khushi, Shah Khalid Khan, Nazar Waheed, Adnan Mir, Atika Qazi, Bandar Alshammari, Simon K. Poon
Diabetic Retinopathy Detection Using Multi-layer Neural Networks and Split Attention with Focal Loss. ICONIP (3) (2020)
Terry Lingze Meng, Matloob Khushi
Reinforcement Learning in Financial Markets. Data 4 (3) (2019)
Saad Bin Yousuf, Hasan Sajid, Simon K. Poon, Matloob Khushi
IMDB-Attire: A Novel Dataset for Attire Detection and Localization. ICONIP (2) (2019)
Xiuyu Huang, Matloob Khushi, Mark Latt, Clement Loy, Simon K. Poon
Machine Learning Based Method for Huntington's Disease Gait Pattern Recognition. ICONIP (4) (2019)
Rakesh Kumar Sanodiya, Michelle Davies Thalakottur, Jimson Mathew, Matloob Khushi
Semi-supervised Regularized Coplanar Discriminant Analysis. ICONIP (5) (2019)
Henry Barlow, Shunqi Mao, Matloob Khushi
Predicting High-Risk Prostate Cancer Using Machine Learning Methods. Data 4 (3) (2019)
Nazim Choudhury, Fahim Faisal, Matloob Khushi
Towards an LSTM-based Predictive Framework for Literature-based Knowledge Discovery. CoRR (2019)
Matloob Khushi, Nazim Choudhury, Jonathan W. Arthur, Christine L. Clarke, J. Dinny Graham
Predicting Functional Interactions Among DNA-Binding Proteins. ICONIP (5) (2018)
Matloob Khushi, Imraan M. Dean, Erdahl T. Teber, Megan Chircop, Jonathan W. Arthur, Neftali Flores-Rodriguez
Automated classification and characterization of the mitotic spindle following knockdown of a mitosis-related protein. BMC Bioinform. 18 (16) (2017)