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2020 – today
- 2024
[j21]Fangyu Zhou, Matloob Khushi, Jonathan Brett, Shahadat Uddin:
Graph neural network-based subgraph analysis for predicting adverse drug events. Comput. Biol. Medicine 183: 109282 (2024)- [j20]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): 4663-4672 (2024) - [j19]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): 1886-1895 (2024) - [c27]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: 529-537 - 2023
- [j18]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): 49 (2023) - [j17]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): 362-372 (2023) - [j16]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): 2325-2334 (2023) - [j15]Usman Naseem, Matloob Khushi, Jinman Kim:
Vision-Language Transformer for Interpretable Pathology Visual Question Answering. IEEE J. Biomed. Health Informatics 27(4): 1681-1690 (2023) - [c26]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: 1055-1060 - [c25]Usman Naseem, Jinman Kim, Matloob Khushi, Adam G. Dunn:
A Multimodal Framework for the Identification of Vaccine Critical Memes on Twitter. WSDM 2023: 706-714 - [c24]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: 995-1003 - 2022
- [j14]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): 2411-2422 (2022) - [j13]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): 144 (2022) - [j12]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: 117761 (2022) - [j11]Shangzhou Wang, Haohui Lu, Arif Khan, Farshid Hajati, Matloob Khushi, Shahadat Uddin:
A machine learning software tool for multiclass classification. Softw. Impacts 13: 100383 (2022) - [j10]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): 778-787 (2022) - [c23]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: 168-175 - [c22]Jiayu He, Nguyen Hoang Tran, Matloob Khushi:
Stock Predictor with Graph Laplacian-Based Multi-task Learning. ICCS (1) 2022: 541-553 - [c21]Usman Naseem, Adam G. Dunn, Jinman Kim, Matloob Khushi:
Early Identification of Depression Severity Levels on Reddit Using Ordinal Classification. WWW 2022: 2563-2572 - [c20]Usman Naseem, Jinman Kim, Matloob Khushi, Adam G. Dunn:
Identification of Disease or Symptom terms in Reddit to Improve Health Mention Classification. WWW 2022: 2573-2581 - [i15]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 abs/2204.04521 (2022) - 2021
- [j9]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: 109960-109975 (2021) - [j8]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): 1731-1746 (2021) - [j7]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): 1003-1015 (2021) - [c19]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: 1-9 - [c18]Jackson Zhou, Matloob Khushi, Mohammad Ali Moni, Shahadat Uddin, Simon K. Poon:
Lung Cancer Prediction Using Curriculum Learning Based Deep Neural Networks. ICDH 2021: 11-18 - [c17]Andrew Lee, Matloob Khushi, Patrick Hao, Shahadat Uddin, Simon K. Poon:
Grading Diabetic Retinopathy Severity Using Modern Convolution Neural Networks (CNN). ICDH 2021: 19-26 - [c16]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: 1-8 - [c15]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: 1-7 - [c14]Jiayu He, Matloob Khushi, Nguyen Hoang Tran, Tongliang Liu:
Robust Dual Recurrent Neural Networks for Financial Time Series Prediction. SDM 2021: 747-755 - [i14]Tae Wan Kim, Matloob Khushi:
Portfolio Optimization with 2D Relative-Attentional Gated Transformer. CoRR abs/2101.03138 (2021) - [i13]Mimi Mukherjee, Matloob Khushi:
SMOTE-ENC: A novel SMOTE-based method to generate synthetic data for nominal and continuous features. CoRR abs/2103.07612 (2021) - [i12]Jaideep Singh, Matloob Khushi:
Feature Learning for Stock Price Prediction Shows a Significant Role of Analyst Rating. CoRR abs/2103.09106 (2021) - [i11]Mukul Jaggi, Priyanka Mandal, Shreya Narang, Usman Naseem, Matloob Khushi:
Text Mining of Stocktwits Data for Predicting Stock Prices. CoRR abs/2103.16388 (2021) - [i10]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 abs/2106.09589 (2021) - [i9]Usman Naseem, Adam G. Dunn, Matloob Khushi, Jinman Kim:
Benchmarking for Biomedical Natural Language Processing Tasks with a Domain Specific ALBERT. CoRR abs/2107.04374 (2021) - [i8]Mimansa Rana, Nanxiang Mao, Ming Ao, Xiaohui Wu, Poning Liang, Matloob Khushi:
Clustering and attention model based for Intelligent Trading. CoRR abs/2107.06782 (2021) - [i7]Xipei Wang, Haoyu Zhang, Yuanbo Zhang, Meng Wang, Jiarui Song, Tin Lai, Matloob Khushi:
Learning Non-Stationary Time-Series with Dynamic Pattern Extractions. CoRR abs/2111.10559 (2021) - 2020
- [j6]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: 201173-201198 (2020) - [j5]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): 37 (2020) - [j4]Nazim Choudhury, Fahim Faisal, Matloob Khushi:
Mining Temporal Evolution of Knowledge Graphs and Genealogical Features for Literature-based Discovery Prediction. J. Informetrics 14(3): 101057 (2020) - [c13]Yiqi Zhao, Matloob Khushi:
Wavelet Denoised-ResNet CNN and LightGBM Method to Predict Forex Rate of Change. ICDM (Workshops) 2020: 385-391 - [c12]Adhish Panta, Matloob Khushi, Usman Naseem, Paul J. Kennedy, Daniel R. Catchpoole:
Classification of Neuroblastoma Histopathological Images Using Machine Learning. ICONIP (3) 2020: 3-14 - [c11]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: 15-25 - [c10]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: 26-37 - [c9]Philip Mehrgardt, Matloob Khushi, Anusha I. Withana, Simon K. Poon:
Machine Learned Pulse Transit Time (MLPTT) Measurements from Photoplethysmography. ICONIP (3) 2020: 49-62 - [c8]Kanchan Jha, Sriparna Saha, Matloob Khushi:
Protein-Protein Interactions Prediction Based on Bi-directional Gated Recurrent Unit and Multimodal Representation. ICONIP (5) 2020: 164-171 - [c7]Rakesh Kumar Sanodiya, Alwyn Mathew, Jimson Mathew, Matloob Khushi:
Statistical and Geometrical Alignment using Metric Learning in Domain Adaptation. IJCNN 2020: 1-8 - [c6]Zhiwen Zeng, Matloob Khushi:
Wavelet Denoising and Attention-based RNN- ARIMA Model to Predict Forex Price. IJCNN 2020: 1-7 - [c5]Zezheng Zhang, Matloob Khushi:
GA-MSSR: Genetic Algorithm Maximizing Sharpe and Sterling Ratio Method for RoboTrading. IJCNN 2020: 1-8 - [i6]Matloob Khushi:
Benchmarking database performance for genomic data. CoRR abs/2008.06835 (2020) - [i5]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 abs/2008.06837 (2020) - [i4]Zhiwen Zeng, Matloob Khushi:
Wavelet Denoising and Attention-based RNN-ARIMA Model to Predict Forex Price. CoRR abs/2008.06841 (2020) - [i3]Zezheng Zhang, Matloob Khushi:
GA-MSSR: Genetic Algorithm Maximizing Sharpe and Sterling Ratio Method for RoboTrading. CoRR abs/2008.09471 (2020) - [i2]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 abs/2009.09223 (2020)
2010 – 2019
- 2019
- [j3]Terry Lingze Meng, Matloob Khushi:
Reinforcement Learning in Financial Markets. Data 4(3): 110 (2019) - [j2]Henry Barlow, Shunqi Mao, Matloob Khushi:
Predicting High-Risk Prostate Cancer Using Machine Learning Methods. Data 4(3): 129 (2019) - [c4]Rakesh Kumar Sanodiya, Michelle Davies Thalakottur, Jimson Mathew, Matloob Khushi:
Semi-supervised Regularized Coplanar Discriminant Analysis. ICONIP (5) 2019: 198-205 - [c3]Saad Bin Yousuf, Hasan Sajid, Simon K. Poon, Matloob Khushi:
IMDB-Attire: A Novel Dataset for Attire Detection and Localization. ICONIP (2) 2019: 543-553 - [c2]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: 607-614 - [i1]Nazim Choudhury, Fahim Faisal, Matloob Khushi:
Towards an LSTM-based Predictive Framework for Literature-based Knowledge Discovery. CoRR abs/1907.09395 (2019) - 2018
- [c1]Matloob Khushi, Nazim Choudhury, Jonathan W. Arthur, Christine L. Clarke, J. Dinny Graham:
Predicting Functional Interactions Among DNA-Binding Proteins. ICONIP (5) 2018: 70-80 - 2017
- [j1]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): 149-159 (2017)
Coauthor Index
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