Matloob Khushi

According to our database, Matloob Khushi authored at least 56 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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, April, 2024

A Linguistic Grounding-Infused Contrastive Learning Approach for Health Mention Classification on Social Media.

Usman Naseem, Jinman Kim, Matloob Khushi, Adam G. Dunn

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

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., December, 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., October, 2023

Vision-Language Transformer for Interpretable Pathology Visual Question Answering.

Usman Naseem, Matloob Khushi, Jinman Kim

IEEE J. Biomed. Health Informatics, April, 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., April, 2023

Graph-Based Hierarchical Attention Network for Suicide Risk Detection on Social Media.

Usman Naseem, Jinman Kim, Matloob Khushi, Adam G. Dunn

Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

A Multimodal Framework for the Identification of Vaccine Critical Memes on Twitter.

Usman Naseem, Jinman Kim, Matloob Khushi, Adam G. Dunn

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

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

Proceedings of the IEEE International Conference on Data Mining, 2023

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

A machine learning software tool for multiclass classification.

Shangzhou Wang, Haohui Lu, Arif Khan, Farshid Hajati, Matloob Khushi, Shahadat Uddin

Softw. Impacts, 2022

Comorbidity and multimorbidity prediction of major chronic diseases using machine learning and network analytics.

Shahadat Uddin, Shangzhou Wang, Haohui Lu, Arif Khan, Farshid Hajati, Matloob Khushi

Expert Syst. Appl., 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

Benchmarking for biomedical natural language processing tasks with a domain specific ALBERT.

Usman Naseem, Adam G. Dunn, Matloob Khushi, Jinman Kim

BMC Bioinform., 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

Identification of Disease or Symptom terms in Reddit to Improve Health Mention Classification.

Usman Naseem, Jinman Kim, Matloob Khushi, Adam G. Dunn

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Early Identification of Depression Severity Levels on Reddit Using Ordinal Classification.

Usman Naseem, Adam G. Dunn, Jinman Kim, Matloob Khushi

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Stock Predictor with Graph Laplacian-Based Multi-task Learning.

Jiayu He, Nguyen Hoang Tran, Matloob Khushi

Proceedings of the Computational Science - ICCS 2022, 2022

Predictive risk modelling in mental health issues using machine learning on graphs.

Haohui Lu, Shahadat Uddin, Farshid Hajati, Matloob Khushi, Mohammad Ali Moni

Proceedings of the ACSW 2022: Australasian Computer Science Week 2022, Brisbane, Australia, February 14, 2022

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

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

Clustering and attention model based for Intelligent Trading.

Mimansa Rana, Nanxiang Mao, Ming Ao, Xiaohui Wu, Poning Liang, 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

Feature Learning for Stock Price Prediction Shows a Significant Role of Analyst Rating.

Jaideep Singh, 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

Portfolio Optimization with 2D Relative-Attentional Gated Transformer.

Tae Wan Kim, Matloob Khushi

CoRR, 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

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

Robust Dual Recurrent Neural Networks for Financial Time Series Prediction.

Jiayu He, Matloob Khushi, Nguyen Hoang Tran, Tongliang Liu

Proceedings of the 2021 SIAM International Conference on Data Mining, 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

Proceedings of the International Joint Conference on Neural Networks, 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

Proceedings of the International Joint Conference on Neural Networks, 2021

Lung Cancer Prediction Using Curriculum Learning Based Deep Neural Networks.

Jackson Zhou, Matloob Khushi, Mohammad Ali Moni, Shahadat Uddin, Simon K. Poon

Proceedings of the IEEE International Conference on Digital Health, 2021

Grading Diabetic Retinopathy Severity Using Modern Convolution Neural Networks (CNN).

Andrew Lee, Matloob Khushi, Patrick Hao, Shahadat Uddin, Simon K. Poon

Proceedings of the IEEE International Conference on Digital Health, 2021

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

Proceedings of the 54th Hawaii International Conference on System Sciences, 2021

2020

Mining Temporal Evolution of Knowledge Graphs and Genealogical Features for Literature-based Discovery Prediction.

Nazim Choudhury, Fahim Faisal, Matloob Khushi

J. Informetrics, 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

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

Benchmarking database performance for genomic data.

Matloob Khushi

CoRR, 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, Matloob Khushi

IEEE Access, 2020

GA-MSSR: Genetic Algorithm Maximizing Sharpe and Sterling Ratio Method for RoboTrading.

Zezheng Zhang, Matloob Khushi

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Wavelet Denoising and Attention-based RNN- ARIMA Model to Predict Forex Price.

Zhiwen Zeng, Matloob Khushi

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Statistical and Geometrical Alignment using Metric Learning in Domain Adaptation.

Rakesh Kumar Sanodiya, Alwyn Mathew, Jimson Mathew, Matloob Khushi

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Classification of Neuroblastoma Histopathological Images Using Machine Learning.

Adhish Panta, Matloob Khushi, Usman Naseem, Paul J. Kennedy, Daniel R. Catchpoole

Proceedings of the Neural Information Processing - 27th International Conference, 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

Proceedings of the Neural Information Processing - 27th International Conference, 2020

Machine Learned Pulse Transit Time (MLPTT) Measurements from Photoplethysmography.

Philip Mehrgardt, Matloob Khushi, Anusha I. Withana, Simon K. Poon

Proceedings of the Neural Information Processing - 27th International Conference, 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

Proceedings of the Neural Information Processing - 27th International Conference, 2020

Protein-Protein Interactions Prediction Based on Bi-directional Gated Recurrent Unit and Multimodal Representation.

Kanchan Jha, Sriparna Saha, Matloob Khushi

Proceedings of the Neural Information Processing - 27th International Conference, 2020

Wavelet Denoised-ResNet CNN and LightGBM Method to Predict Forex Rate of Change.

Yiqi Zhao, Matloob Khushi

Proceedings of the 20th International Conference on Data Mining Workshops, 2020

2019

Reinforcement Learning in Financial Markets.

Terry Lingze Meng, Matloob Khushi

Data, 2019

Predicting High-Risk Prostate Cancer Using Machine Learning Methods.

Henry Barlow, Shunqi Mao, Matloob Khushi

Data, 2019

Towards an LSTM-based Predictive Framework for Literature-based Knowledge Discovery.

Nazim Choudhury, Fahim Faisal, Matloob Khushi

CoRR, 2019

IMDB-Attire: A Novel Dataset for Attire Detection and Localization.

Saad Bin Yousuf, Hasan Sajid, Simon K. Poon, Matloob Khushi

Proceedings of the Neural Information Processing - 26th International Conference, 2019

Semi-supervised Regularized Coplanar Discriminant Analysis.

Rakesh Kumar Sanodiya, Michelle Davies Thalakottur, Jimson Mathew, Matloob Khushi

Proceedings of the Neural Information Processing - 26th International Conference, 2019

Machine Learning Based Method for Huntington's Disease Gait Pattern Recognition.

Xiuyu Huang, Matloob Khushi, Mark Latt, Clement Loy, Simon K. Poon

Proceedings of the Neural Information Processing - 26th International Conference, 2019

2018

Predicting Functional Interactions Among DNA-Binding Proteins.

Matloob Khushi, Nazim Choudhury, Jonathan W. Arthur, Christine L. Clarke, J. Dinny Graham

Proceedings of the Neural Information Processing - 25th International Conference, 2018

2017

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