Shahadat Uddin

106 papers B 7C 2Journal 68Unranked 28

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Bias Mitigation in Large Language Models for Tabular Data Classification. Mach. Learn. Haohui Lu, Zhiqi Shao, Junbin Gao, Shahadat Uddin
2026	J	`jnl`	FG-DDI: Functional group-aware graph neural networks for drug-drug interaction prediction. J. Biomed. Informatics Fangyu Zhou, Shahadat Uddin
2026	J	`jnl`	Fairness-preserving framework for machine learning: data bias quantification, model evaluation, and robustness across multiple datasets. AI Ethics Shahadat Uddin, Haohui Lu, Farshid Hajati
2026	J	`jnl`	Gender-based data bias and model fairness evaluation in benchmarked open-access disease prediction datasets. Comput. Biol. Medicine Shahadat Uddin, Huan Liang, Haolan Guo
2025	—	`conf`	Assessing Algorithmic Fairness in Socioeconomic Predictions Using Australian Census Data. AI (1) Shahadat Uddin, Yajie Huang, Shanshan Fang, Haohui Lu
2025	J	`jnl`	Classification of direct microscopic fungi images using optimized graph networks. Biomed. Signal Process. Control. Pooya Sajjadi, Farshid Hajati, Alireza Rezaee, Shahadat Uddin
2025	J	`jnl`	Early Prediction of Sepsis using Heart Rate Signals and Genetic Optimized LSTM Algorithm. CoRR Alireza Rafiei, Farshid Hajati, Alireza Rezaee, Amirhossien Panahi, Shahadat Uddin
2025	—	`conf`	Enhancing Drug-Drug Interaction Prediction with Functional Group-Weighted Graph Neural Networks. HIKM Fangyu Zhou, Shahadat Uddin
2025	J	`jnl`	Identifying the factors influencing the development of bilateral investment treaties with health safeguards: a Machine Learning-based link prediction approach. J. Comput. Soc. Sci. Haohui Lu, Anne Marie Thow, Dori Patay, Takwa Tissaoui, Nicholas Frank, Holly Rippin, Tien Dat Hoang, Fabio Gomes, Wolfgang Alschner, Shahadat Uddin
2025	—	`conf`	Suburban community characteristics and pandemic spread: Australian retrospectives and machine learning-based insights. HIKM Fangyu Zhou, Tasadduq Imam, Shahadat Uddin, Shakir Karim
2025	—	`conf`	TIME 2025: 1st International Workshop on Transformative Insights in Multi-faceted Evaluation. WWW (Companion Volume) Lei Wang, Md. Zakir Hossain, Syed M. S. Islam, Tom Gedeon, Sharifa Alghowinem, Isabella Yu, Serena Bono, Xuanying Zhu, Gennie Nguyen, Nur Al Hasan Haldar, Seyed Mohammad Jafar Jalali, Md. Abdur Razzaque, Imran Razzak, Md. Rafiqul Islam, Shahadat Uddin, Naeem Janjua, Aneesh Krishna, Manzur Ashraf
2025	J	`jnl`	Toward fair medical advice: Addressing and mitigating bias in large language model-based healthcare applications. Artif. Intell. Medicine Haohui Lu, Ye Lin, Zhidong Li, Man Lung Yiu, Yu Gao, Shahadat Uddin
2024	J	`jnl`	A Robust Deep-Learning Model to Detect Major Depressive Disorder Utilizing EEG Signals. IEEE Trans. Artif. Intell. Israq Ahmed Anik, A. H. M. Kamal, Muhammad Ashad Kabir, Shahadat Uddin, Mohammad Ali Moni
2024	J	`jnl`	A parameterised model for link prediction using node centrality and similarity measure based on graph embedding. Neurocomputing Haohui Lu, Shahadat Uddin
2024	—	`conf`	Fusion of Graph and Natural Language Processing in Predictive Analytics for Adverse Drug Reactions. ACSW Fangyu Zhou, Shahadat Uddin
2024	J	`jnl`	Graph neural network-based subgraph analysis for predicting adverse drug events. Comput. Biol. Medicine Fangyu Zhou, Matloob Khushi, Jonathan Brett, Shahadat Uddin
2023	J	`jnl`	A parameterised model for link prediction using node centrality and similarity measure based on graph embedding. CoRR Haohui Lu, Shahadat Uddin
2023	J	`jnl`	Embedding-based link predictions to explore latent comorbidity of chronic diseases. Health Inf. Sci. Syst. Haohui Lu, Shahadat Uddin
2023	J	`jnl`	GRU-INC: An inception-attention based approach using GRU for human activity recognition. Expert Syst. Appl. Taima Rahman Mim, Maliha Amatullah, Sadia Afreen, Mohammad Abu Yousuf, Shahadat Uddin, Salem A. Alyami, Khondokar Fida Hasan, Mohammad Ali Moni
2023	J	`jnl`	HARDC : A novel ECG-based heartbeat classification method to detect arrhythmia using hierarchical attention based dual structured RNN with dilated CNN. CoRR Md. Shofiqul Islam, Khondokar Fida Hasan, Sunjida Sultana, Shahadat Uddin, Pietro Liò, Julian M. W. Quinn, Mohammad Ali Moni
2023	J	`jnl`	HARDC : A novel ECG-based heartbeat classification method to detect arrhythmia using hierarchical attention based dual structured RNN with dilated CNN. Neural Networks Md. Shofiqul Islam, Khondokar Fida Hasan, Sunjida Sultana, Shahadat Uddin, Pietro Lio', Julian M. W. Quinn, Mohammad Ali Moni
2023	J	`jnl`	Hospital Readmission and Length-of-Stay Prediction Using an Optimized Hybrid Deep Model. Future Internet Alireza Tavakolian, Alireza Rezaee, Farshid Hajati, Shahadat Uddin
2023	—	`conf`	How could a weighted drug-drug network help improve adverse drug reaction predictions? Machine learning reveals the importance of edge weights. ACSW Fangyu Zhou, Shahadat Uddin
2023	J	`jnl`	Impact of COVID-19 on Journal Impact Factor. J. Informetrics Shahadat Uddin, Arif Khan, Haohui Lu
2023	C	`conf`	KNN-Based Patient Network and Ensemble Machine Learning for Disease Prediction. HIS Haohui Lu, Shahadat Uddin
2023	—	`conf`	Mining adverse drug events from patients' disease histories via a GNN-based subgraph prediction method. ACSW Fangyu Zhou, Shahadat Uddin
2022	J	`jnl`	A disease network-based recommender system framework for predictive risk modelling of chronic diseases and their comorbidities. Appl. Intell. Haohui Lu, Shahadat Uddin
2022	J	`jnl`	A machine learning software tool for multiclass classification. Softw. Impacts Shangzhou Wang, Haohui Lu, Arif Khan, Farshid Hajati, Matloob Khushi, Shahadat Uddin
2022	J	`jnl`	A patient network-based machine learning model for disease prediction: The case of type 2 diabetes mellitus. Appl. Intell. Haohui Lu, Shahadat Uddin, Farshid Hajati, Mohammad Ali Moni, Matloob Khushi
2022	—	`conf`	Analysis of patient-sharing provider network in Macarthur region, New South Wales, Australia using administrative claim data. ACSW Shakir Karim, Shahadat Uddin
2022	J	`jnl`	Comorbidity and multimorbidity prediction of major chronic diseases using machine learning and network analytics. Expert Syst. Appl. Shahadat Uddin, Shangzhou Wang, Haohui Lu, Arif Khan, Farshid Hajati, Matloob Khushi
2022	J	`jnl`	Explainable Stacking-Based Model for Predicting Hospital Readmission for Diabetic Patients. Inf. Haohui Lu, Shahadat Uddin
2022	J	`jnl`	Fast COVID-19 versus H1N1 screening using Optimized Parallel Inception. Expert Syst. Appl. Alireza Tavakolian, Farshid Hajati, Alireza Rezaee, Amirhossein Oliaei Fasakhodi, Shahadat Uddin
2022	—	`conf`	Predictive risk modelling in mental health issues using machine learning on graphs. ACSW Haohui Lu, Shahadat Uddin, Farshid Hajati, Matloob Khushi, Mohammad Ali Moni
2022	J	`jnl`	Source Code for Optimized Parallel Inception: A Fast COVID-19 Screening Software. Softw. Impacts Alireza Tavakolian, Farshid Hajati, Alireza Rezaee, Amirhossein Oliaei Fasakhodi, Shahadat Uddin
2021	J	`jnl`	A Comparative Performance Analysis of Data Resampling Methods on Imbalance Medical Data. IEEE Access Matloob Khushi, Kamran Shaukat, Talha Mahboob Alam, Ibrahim A. Hameed, Shahadat Uddin, Suhuai Luo, Xiaoyan Yang, Maranatha Consuelo Reyes
2021	J	`jnl`	A deep learning approach using effective preprocessing techniques to detect COVID-19 from chest CT-scan and X-ray images. Comput. Biol. Medicine Khabir Uddin Ahamed, Manowarul Islam, Ashraf Uddin, Arnisha Akhter, Bikash Kumar Paul, Mohammad Abu Yousuf, Shahadat Uddin, Julian M. W. Quinn, Mohammad Ali Moni
2021	J	`jnl`	Emotion Recognition From EEG Signal Focusing on Deep Learning and Shallow Learning Techniques. IEEE Access Md. Rabiul Islam, Mohammad Ali Moni, Md. Milon Islam, Md Rashed-Al-Mahfuz, Md. Saiful Islam, Md. Kamrul Hasan, Md. Sabir Hossain, Mohiuddin Ahmad, Shahadat Uddin, A. K. M. Azad, Salem A. Alyami, Md. Atiqur Rahman Ahad, Pietro Lió
2021	—	`conf`	Grading Diabetic Retinopathy Severity Using Modern Convolution Neural Networks (CNN). ICDH Andrew Lee, Matloob Khushi, Patrick Hao, Shahadat Uddin, Simon K. Poon
2021	J	`jnl`	Identifying molecular insight of synergistic complexities for SARS-CoV-2 infection with pre-existing type 2 diabetes. Comput. Biol. Medicine M. Babul Islam, Utpala Nanda Chowdhury, Zulkar Nain, Shahadat Uddin, Mohammad Boshir Ahmed, Mohammad Ali Moni
2021	—	`conf`	Lung Cancer Prediction Using Curriculum Learning Based Deep Neural Networks. ICDH Jackson Zhou, Matloob Khushi, Mohammad Ali Moni, Shahadat Uddin, Simon K. Poon
2021	J	`jnl`	Machine learning and network-based models to identify genetic risk factors to the progression and survival of colorectal cancer. Comput. Biol. Medicine Md. Jakir Hossain, Utpala Nanda Chowdhury, M. Babul Islam, Shahadat Uddin, Mohammad Boshir Ahmed, Julian M. W. Quinn, Mohammad Ali Moni
2021	J	`jnl`	Network analytics and machine learning for predictive risk modelling of cardiovascular disease in patients with type 2 diabetes. Expert Syst. Appl. Md Ekramul Hossain, Shahadat Uddin, Arif Khan
2021	J	`jnl`	Research interdisciplinarity: STEM versus non-STEM. Scientometrics Shahadat Uddin, Tasadduq Imam, Mohammad Mozumdar
2021	J	`jnl`	TClustVID: A novel machine learning classification model to investigate topics and sentiment in COVID-19 tweets. Knowl. Based Syst. Md. Shahriare Satu, Md. Imran Khan, Mufti Mahmud, Shahadat Uddin, Matthew A. Summers, Julian M. W. Quinn, Mohammad Ali Moni
2021	—	`conf`	The implementation of public health and economic measures during the first wave of COVID-19 by different countries with respect to time, infection rate and death rate. ACSW Shahadat Uddin, Tasadduq Imam, Mohammad Ali Moni
2021	J	`jnl`	Use of Electronic Health Data for Disease Prediction: A Comprehensive Literature Review. IEEE ACM Trans. Comput. Biol. Bioinform. Md Ekramul Hossain, Arif Khan, Mohammad Ali Moni, Shahadat Uddin
2020	J	`jnl`	A machine learning model to identify early stage symptoms of SARS-Cov-2 infected patients. Expert Syst. Appl. Md. Martuza Ahamad, Sakifa Aktar, Md Rashed-Al-Mahfuz, Shahadat Uddin, Pietro Liò, Haoming Xu, Matthew A. Summers, Julian M. W. Quinn, Mohammad Ali Moni
2020	J	`jnl`	Predicting Patient COVID-19 Disease Severity by means of Statistical and Machine Learning Analysis of Blood Cell Transcriptome Data. CoRR Sakifa Aktar, Md. Martuza Ahamad, Md Rashed-Al-Mahfuz, A. K. M. Azad, Shahadat Uddin, A. H. M. Kamal, Salem A. Alyami, Ping-I Lin, Sheikh Mohammed Shariful Islam, Julian M. W. Quinn, Valsamma Eapen, Mohammad Ali Moni
2019	J	`jnl`	A research framework to explore knowledge evolution and scholarly quantification of collaborative research. Scientometrics Shahadat Uddin, Nazim Choudhury, Md Ekramul Hossain
2019	J	`jnl`	Actor-Level Dynamicity: Its Distribution Analysis Eases Anomaly Detection in Longitudinal Networks. IEEE Access Shahadat Uddin, Nazim Choudhury
2019	J	`jnl`	Bioinformatics Methodologies to Identify Interactions Between Type 2 Diabetes and Neurological Comorbidities. IEEE Access Md. Habibur Rahman, Silong Peng, Xiyuan Hu, Chen Chen, Shahadat Uddin, Julian M. W. Quinn, Mohammad Ali Moni
2019	J	`jnl`	Chronic disease prediction using administrative data and graph theory: The case of type 2 diabetes. Expert Syst. Appl. Arif Khan, Shahadat Uddin, Uma Srinivasan
2019	J	`jnl`	Comparing different supervised machine learning algorithms for disease prediction. BMC Medical Informatics Decis. Mak. Shahadat Uddin, Arif Khan, Md Ekramul Hossain, Mohammad Ali Moni
2019	—	`conf`	Development and exploration of polymedication network from Pharmaceutical and Medicare Benefits Scheme data. ACSW Arif Khan, Uma Srinivasan, Shahadat Uddin
2019	J	`jnl`	Few research fields play major role in interdisciplinary grant success. Scientometrics Arif Khan, Nazim Choudhury, Shahadat Uddin
2019	J	`jnl`	Machine Learning-Based Models for Early Stage Detection of Autism Spectrum Disorders. IEEE Access Tania Akter, Md. Shahriare Satu, Md. Imran Khan, Mohammad Hanif Ali, Shahadat Uddin, Pietro Lió, Julian M. W. Quinn, Mohammad Ali Moni
2019	—	`conf`	Understanding the Comorbidity of Multiple Chronic Diseases Using a Network Approach. ACSW Md Ekramul Hossain, Arif Khan, Shahadat Uddin
2019	—	`conf`	Understanding the Progression of Congestive Heart Failure of Type 2 Diabetes Patient Using Disease Network and Hospital Claim Data. COMPLEX NETWORKS (2) Md Ekramul Hossain, Arif Khan, Shahadat Uddin
2018	J	`jnl`	Comorbidity network for chronic disease: A novel approach to understand type 2 diabetes progression. Int. J. Medical Informatics Arif Khan, Shahadat Uddin, Uma Srinivasan
2018	—	`ch.`	Exploring Actor-Level Dynamics in Longitudinal Networks: The State of the Art. Encyclopedia of Social Network Analysis and Mining. 2nd Ed. Shahadat Uddin, Nazim Choudhury, Mahendra Piraveenan, Kon Shing Kenneth Chung
2018	J	`jnl`	Triad Census and Subgroup Analysis of Patient-Sharing Physician Collaborations. IEEE Access Shahadat Uddin, Md Ekramul Hossain, Arif Khan
2017	B	`conf`	Anomaly Detection on Big Data in Financial Markets. ASONAM Mohiuddin Ahmed, Nazim Choudhury, Shahadat Uddin
2017	—	`conf`	Evolutionary Community Mining for Link Prediction in Dynamic Networks. COMPLEX NETWORKS Nazim Choudhury, Shahadat Uddin
2017	B	`conf`	Mining Actor-level Structural and Neighborhood Evolution for Link Prediction in Dynamic Networks. ASONAM Nazim Choudhury, Shahadat Uddin
2017	—	`conf`	Understanding chronic disease comorbidities from baseline networks: knowledge discovery utilising administrative healthcare data. ACSW Arif Khan, Shahadat Uddin, Uma Srinivasan
2016	J	`jnl`	A set of measures to quantify the dynamicity of longitudinal social networks. Complex. Shahadat Uddin, Arif Khan, Mahendra Piraveenan
2016	—	`conf`	Adapting graph theory and social network measures on healthcare data: a new framework to understand chronic disease progression. ACSW Arif Khan, Shahadat Uddin, Uma Srinivasan
2016	J	`jnl`	Modeling networked systems using the topologically distributed bounded rationality framework. Complex. Dharshana Kasthurirathna, Mahendra Piraveenan, Shahadat Uddin
2016	J	`jnl`	The impact of author-selected keywords on citation counts. J. Informetrics Shahadat Uddin, Arif Khan
2016	J	`jnl`	Time-aware link prediction to explore network effects on temporal knowledge evolution. Scientometrics Nazim Choudhury, Shahadat Uddin
2015	J	`jnl`	A Framework to Explore the Knowledge Structure of Multidisciplinary Research Fields. CoRR Shahadat Uddin, Arif Khan, Louise A. Baur
2015	J	`jnl`	A Social Network Framework to Explore Healthcare Collaboration. CoRR Uma Srinivasan, Shahadat Uddin
2015	J	`jnl`	A topological framework to explore longitudinal social networks. Comput. Math. Organ. Theory Shahadat Uddin, Arif Khan, Liaquat Hossain, Mahendra Piraveenan, Sven A. Carlsson
2015	—	`conf`	Administrative Claim Data to Learn about Effective Healthcare Collaboration and Coordination through Social Network. HICSS Shahadat Uddin, Arif Khan, Mahendra Piraveenan
2015	J	`jnl`	Evolutionary Stable Strategies In Networked Games: The Influence Of Topology. J. Artif. Intell. Soft Comput. Res. Dharshana Kasthurirathna, Mahendra Piraveenan, Shahadat Uddin
2015	J	`jnl`	Evolutionary stable strategies in networked games: the influence of topology. CoRR Dharshana Kasthurirathna, Mahendra Piraveenan, Shahadat Uddin
2015	J	`jnl`	Statistical Network Topology for Crisis Informetrics. CoRR Liaquat Hossain, Rolf T. Wigand, Shahadat Uddin
2014	B	`conf`	Application of network analysis on healthcare. ASONAM Fei Wang, Uma Srinivasan, Shahadat Uddin, Sanjay Chawla
2014	J	`jnl`	Influence of vaccination strategies and topology on the herd immunity of complex networks. Soc. Netw. Anal. Min. Gnana Thedchanamoorthy, Mahendra Piraveenan, Shahadat Uddin, Upul Senanayake
2014	J	`jnl`	New Direction in Degree Centrality Measure: Towards a Time-Variant Approach. Int. J. Inf. Technol. Decis. Mak. Shahadat Uddin, Liaquat Hossain, Rolf T. Wigand
2014	—	`conf`	Optimisation of strategy placements for public good in complex networks. SocialCom Dharshana Kasthurirathna, Harrison Nguyen, Mahendra Piraveenan, Shahadat Uddin, Upul Senanayake
2014	—	`conf`	Optimisation of strategy placements for public good in complex networks. SocialCom Dharshana Kasthurirathna, Harrison Nguyen, Mahendra Piraveenan, Shahadat Uddin, Upul Senanayake
2014	J	`jnl`	The impact of study load on the dynamics of longitudinal email communications among students. Comput. Educ. Shahadat Uddin, Kate Thompson, Beat Schwendimann, Mahendra Piraveenan
2013	—	`conf`	Assessing Online Community-Building through Assortativity, Density and Centralization in Social Networks. HICSS Kon Shing Kenneth Chung, Mahendra Piraveenan, Andrew Vakarau Levula, Shahadat Uddin
2013	J	`jnl`	Communication network dynamics during organizational crisis. J. Informetrics Liaquat Hossain, Shahriar Tanvir Hasan Murshed, Shahadat Uddin
2013	—	`conf`	Conceptual Quantification of the Dynamicity of Longitudinal Social Networks. SocialCom Shahadat Uddin, Mahendra Piraveenan, Arif Khan, Babak Amiri
2013	J	`jnl`	Conceptual quantification of the dynamicity of longitudinal social networks. CoRR Shahadat Uddin, Mahendra Piraveenan, Arif Khan, Babak Amiri
2013	J	`jnl`	Dynamics of email communications among university students throughout a semester. Comput. Educ. Shahadat Uddin, Michael J. Jacobson
2013	—	`conf`	Effect of Vaccination Strategies on the Herd Immunity of Growing Networks. SocialCom Mahendra Piraveenan, Shahadat Uddin, Gnana Thedchanamoorthy
2013	J	`jnl`	Exploring communication networks to understand organizational crisis using exponential random graph models. Comput. Math. Organ. Theory Shahadat Uddin, Jafar Hamra, Liaquat Hossain
2013	—	`conf`	Quantifying encircling behaviour in complex networks. CICS Mahendra Piraveenan, Shahadat Uddin, Kon Shing Kenneth Chung, Dharshana Kasthurirathna
2013	J	`jnl`	Quantifying topological robustness of networks under sustained targeted attacks. Soc. Netw. Anal. Min. Mahendra Piraveenan, Gnana Thedchanamoorthy, Shahadat Uddin, Kon Shing Kenneth Chung
2013	—	`conf`	Topological Analysis of Longitudinal Networks. HICSS Shahadat Uddin, Mahendra Piraveenan, Kon Shing Kenneth Chung, Liaquat Hossain
2012	B	`conf`	Capturing Actor-level Dynamics of Longitudinal Networks. ASONAM Shahadat Uddin, Kon Shing Kenneth Chung, Mahendra Piraveenan
2012	B	`conf`	Community Evolution and Engagement through Assortative Mixing in Online Social Networks. ASONAM Kon Shing Kenneth Chung, Piraveenan Mahendra, Shahadat Uddin
2012	B	`conf`	Measuring Topological Robustness of Networks under Sustained Targeted Attacks. ASONAM Piraveenan Mahendra, Shahadat Uddin, Kon Shing Kenneth Chung
2012	—	`conf`	New Directions in the Analysis of Social Network Dynamics. KDIR Shahadat Uddin, Simon Reay Atkinson, Liaquat Hossain
2012	J	`jnl`	Trend and efficiency analysis of co-authorship network. Scientometrics Shahadat Uddin, Liaquat Hossain, Alireza Abbasi, Kim J. R. Rasmussen
2011	J	`jnl`	Evolutionary Dynamics of Scientific Collaboration Networks: Multi-Levels and Cross-time Analysis CoRR Alireza Abbasi, Liaquat Hossain, Shahadat Uddin, Kim J. R. Rasmussen
2011	J	`jnl`	Evolutionary dynamics of scientific collaboration networks: multi-levels and cross-time analysis. Scientometrics Alireza Abbasi, Liaquat Hossain, Shahadat Uddin, Kim J. R. Rasmussen
2011	—	`conf`	Exponential random graph modeling of communication networks to understand organizational crisis. CPR Jafar Hamra, Shahadat Uddin, Liaquat Hossain
2011	J	`jnl`	Inter-Organizational Coordination Dynamics during Crisis. J. Decis. Syst. Liaquat Hossain, S. Khalili, Shahadat Uddin
2011	J	`jnl`	Static versus dynamic topology of complex communications network during organizational crisis. Complex. Shahadat Uddin, Liaquat Hossain, Shahriar Tanvir Hasan Murshed, John W. Crawford
2011	B	`conf`	Time Scale Degree Centrality: A Time-Variant Approach to Degree Centrality Measures. ASONAM Shahadat Uddin, Liaquat Hossain
2010	C	`conf`	Understanding Communication Network Cohesiveness during Organizational Crisis: Effects of Clique and Transitivity. ICIS Shahriar Tanvir Hasan Murshed, Shahadat Uddin, Liaquat Hossain