default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDMatloob Khushi
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
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) - [c28]Usman Naseem, Adam G. Dunn, Matloob Khushi, Jinman Kim:
Vaccine Misinformation Detection in X using Cooperative Multimodal Framework. ACM Multimedia 2024: 4034-4042 - [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
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-12-10 21:44 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
