Data Mining and XML Documents. - Richi Nayak; Rebecca Witt; Anton Tonev (International Conference on Internet Computing, 2002)

Automatic integration of Heterogenous XML-schemas. - Richi Nayak; Fu Bo Xia (iiWAS, 2004)

Applications of Data Mining in Web Services. - Richi Nayak; Cindy Tong (WISE, 2004)

Data Mining and Mobile Business Data. - Richi Nayak (Encyclopedia of Information Science and Technology (II), 2005)

Wireless Technologies to Enable Electronic Business. - Richi Nayak (Encyclopedia of Information Science and Technology (V), 2005)

An Improvement to Collaborative Filtering for Recommender Systems. - Li-Tung Weng; Yue Xu 001; Yuefeng Li; Richi Nayak (CIMCA/IAWTIC, 2005)

Generating Predicate Rules from Neural Networks. - Richi Nayak (IDEAL, 2005)

XML Documents Clustering by Structures. - Richi Nayak; Sumei Xu (INEX, 2005)

A Data Mining Application Analysis of Problems Occurring during a Software Project Development Process. - Richi Nayak; Tian Qiu (Int. J. Softw. Eng. Knowl. Eng., 2005)

Process of applying data mining techniques to XML data. - Richi Nayak (AMT, 2006)

A Web data extraction approach to harvesting data from online sources. - Richi Nayak; Magnus Haugaasen (AMT, 2006)

A Fair Peer Selection Algorithm for an Ecommerce-Oriented Distributed Recommender System. - Li-Tung Weng; Yue Xu 001; Yuefeng Li; Richi Nayak (AMT, 2006)

XMine: A Methodology for Mining XML Structure. - Richi Nayak; Wina Iryadi (APWeb, 2006)

Data Mining For Lifetime Prediction of Metallic Components. - Esther Ge; Richi Nayak; Yue Xu 001; Yuefeng Li (AusDM, 2006)

Data Mining in Conceptualising Active Ageing. - Richi Nayak; Laurie Buys; Jan Lovie-Kitchin (AusDM, 2006)

Use of Data Mining in System Development Life Cycle. - Richi Nayak; Tian Qiu (Selected Papers from AusDM, 2006)

Influencing Factors in Achieving Active Ageing. - Richi Nayak; Laurie Buys; Jan Lovie-Kitchin (ICDM Workshops, 2006)

Evaluating the Performance of XML Document Clustering by Structure Only. - Tien Tran; Richi Nayak (INEX, 2006)

XCLS: A Fast and Effective Clustering Algorithm for Heterogenous XML Documents. - Richi Nayak; Sumei Xu (PAKDD, 2006)

Investigating Semantic Measures in XML Clustering. - Richi Nayak (Web Intelligence, 2006)

Automatically Acquiring Training Sets for Web Information Gathering. - Xiaohui Tao 001; Yuefeng Li; Ning Zhong 001; Richi Nayak (Web Intelligence, 2006)

Distributed Recommender Profiling and Selection with Gittins Indices. - Li-Tung Weng; Yue Xu 001; Yuefeng Li; Richi Nayak (Web Intelligence, 2006)

A Case Study of Failure Mode Analysis with Text Mining Methods. - Lin Chen 012; Richi Nayak (AIDM, 2007)

PCITMiner- Prefix-based Closed Induced Tree Miner for finding closed induced frequent subtrees. - Sangeetha Kutty; Richi Nayak; Yuefeng Li (AusDM, 2007)

Temporal Pattern Matching for the Prediction of Stock Prices. - Richi Nayak; Paul te Braak (AIDM, 2007)

The Use of Various Data Mining and Feature Selection Methods in the Analysis of a Population Survey Dataset. - Ellen Pitt; Richi Nayak (AIDM, 2007)

A Novel Cluster Center Estimation Algorithm with Hybrid Partitional Clustering. - Li-Tung Weng; Yue Xu 001; Yuefeng Li; Richi Nayak (DMIN, 2007)

Improving Recommendation Novelty Based on Topic Taxonomy. - Li-Tung Weng; Yue Xu 001; Yuefeng Li; Richi Nayak (Web Intelligence/IAT Workshops, 2007)

Clustering XML Documents Using Closed Frequent Subtrees: A Structural Similarity Approach. - Sangeetha Kutty; Tien Tran; Richi Nayak; Yuefeng Li (INEX, 2007)

Document Clustering Using Incremental and Pairwise Approaches. - Tien Tran; Richi Nayak; Peter Bruza (INEX, 2007)

Ontology Mining for Semantic Interpretation of Information Needs. - Xiaohui Tao 001; Yuefeng Li; Richi Nayak (KSEM, 2007)

Web Service Discovery with additional Semantics and Clustering. - Richi Nayak; Bryan Lee (Web Intelligence, 2007)

Ontology Mining for PersonalizedWeb Information Gathering. - Xiaohui Tao 001; Yuefeng Li; Ning Zhong 001; Richi Nayak (Web Intelligence, 2007)

A Progressive Clustering Algorithm to Group the XML Data by Structural and Semantic Similarity. - Richi Nayak; Tien Tran (Int. J. Pattern Recognit. Artif. Intell., 2007)

XML schema clustering with semantic and hierarchical similarity measures. - Richi Nayak; Wina Iryadi (Knowl. Based Syst., 2007)

Mining world knowledge for analysis of search engine content. - John D. King; Yuefeng Li; Xiaohui Tao 001; Richi Nayak (Web Intell. Agent Syst., 2007)

Clustering and Classification of Maintenance Logs using Text Data Mining. - Brett Edwards; Michael Zatorsky; Richi Nayak (AusDM, 2008)

Combining Structure and Content Similarities for XML Document Clustering. - Tien Tran; Richi Nayak; Peter Bruza (AusDM, 2008)

An Interactive Predictive Data Mining System for Informed Decision. - Esther Ge; Richi Nayak (DASFAA, 2008)

A User Driven Data Mining Process Model and Learning System. - Esther Ge; Richi Nayak; Yue Xu 001; Yuefeng Li (DASFAA, 2008)

Collaborative Filtering Recommender Systems Using Tag Information. - Huizhi Liang; Yue Xu 001; Yuefeng Li; Richi Nayak (Web Intelligence/IAT Workshops, 2008)

Web Information Recommendation Making Based on Item Taxonomy. - Li-Tung Weng; Yue Xu 001; Yuefeng Li; Richi Nayak (ICEIS (4), 2008)

Efficient Neighbourhood Estimation for Recommendation Making. - Li-Tung Weng; Yue Xu 001; Yuefeng Li; Richi Nayak (ICEIS (4), 2008)

An Efficient Neighbourhood Estimation Technique for Making Recommendations. - Li-Tung Weng; Yue Xu 001; Yuefeng Li; Richi Nayak (ICEIS, 2008)

Improve Recommendation Quality with Item Taxonomic Information. - Li-Tung Weng; Yue Xu 001; Yuefeng Li; Richi Nayak (ICEIS, 2008)

Exploiting Item Taxonomy for Solving Cold-Start Problem in Recommendation Making. - Li-Tung Weng; Yue Xu 001; Yuefeng Li; Richi Nayak (ICTAI (2), 2008)

Link-the-Wiki: Performance Evaluation Based on Frequent Phrases. - Mao-Lung (Edward) Chen; Richi Nayak; Shlomo Geva (INEX, 2008)

Clustering XML Documents Using Frequent Subtrees. - Sangeetha Kutty; Tien Tran; Richi Nayak; Yuefeng Li (INEX, 2008)

Utilizing the Structure and Content Information for XML Document Clustering. - Tien Tran; Sangeetha Kutty; Richi Nayak (INEX, 2008)

Expertise Analysis in a Question Answer Portal for Author Ranking. - Lin Chen 012; Richi Nayak (Web Intelligence, 2008)

An Ontology-Based Framework for Knowledge Retrieval. - Xiaohui Tao 001; Yuefeng Li; Ning Zhong 001; Richi Nayak (Web Intelligence, 2008)

Improving Web Service Discovery by Using Semantic Models. - Aishwarya Bose; Richi Nayak; Peter Bruza (WISE, 2008)

A knowledge retrieval model using ontology mining and user profiling. - Xiaohui Tao 001; Yuefeng Li; Richi Nayak (Integr. Comput. Aided Eng., 2008)

Data Mining in Web Services Discovery and Monitoring. - Richi Nayak (Int. J. Web Serv. Res., 2008)

Fast and effective clustering of XML data using structural information. - Richi Nayak (Knowl. Inf. Syst., 2008)

Towards Information Enrichment through Recommendation Sharing. - Li-Tung Weng; Yue Xu 001; Yuefeng Li; Richi Nayak (Data Mining and Multi-agent Integration, 2009)

XCFS: an XML documents clustering approach using both the structure and the content. - Sangeetha Kutty; Richi Nayak; Yuefeng Li (CIKM, 2009)

Knowledge Discovery over the Deep Web, Semantic Web and XML. - Aparna S. Varde; Fabian M. Suchanek; Richi Nayak; Pierre Senellart (DASFAA, 2009)

HCX: an efficient hybrid clustering approach for XML documents. - Sangeetha Kutty; Richi Nayak; Yuefeng Li (ACM Symposium on Document Engineering, 2009)

Utilising Semantic Tags in XML Clustering. - Sangeetha Kutty; Richi Nayak; Yuefeng Li (INEX, 2009)

Overview of the INEX 2009 XML Mining Track: Clustering and Classification of XML Documents. - Richi Nayak; Christopher M. De Vries; Sangeetha Kutty; Shlomo Geva; Ludovic Denoyer; Patrick Gallinari (INEX, 2009)

XML Schema Element Similarity Measures: A Schema Matching Context. - Alsayed Algergawy; Richi Nayak; Gunter Saake (OTM Conferences (2), 2009)

Thai Word Segmentation with Hidden Markov Model and Decision Tree. - Poramin Bheganan; Richi Nayak; Yue Xu 001 (PAKDD, 2009)

Tag Based Collaborative Filtering for Recommender Systems. - Huizhi Liang; Yue Xu 001; Yuefeng Li; Richi Nayak (RSKT, 2009)

Personalized Recommender Systems Integrating Social Tags and Item Taxonomy. - Huizhi Liang; Yue Xu 001; Yuefeng Li; Richi Nayak; Li-Tung Weng (Web Intelligence, 2009)

Generating rules with predicates, terms and variables from the pruned neural networks. - Richi Nayak (Neural Networks, 2009)

Discovering Knowledge from XML Documents. - Richi Nayak (Encyclopedia of Data Warehousing and Mining, 2009)

Evaluation of a hybrid approach of personalized web information retrieval using the FIRE data set. - Namita Mittal; Richi Nayak; Mahesh Chandra Govil; Kamal Chand Jain (A2CWiC, 2010)

Personalized recommender system based on item taxonomy and folksonomy. - Huizhi Liang; Yue Xu 001; Yuefeng Li; Richi Nayak (CIKM, 2010)

Connecting users and items with weighted tags for personalized item recommendations. - Huizhi Liang; Yue Xu 001; Yuefeng Li; Richi Nayak; Xiaohui Tao 001 (HT, 2010)

Improving Matching Process in Social Network. - Lin Chen 012; Richi Nayak; Yue Xu 001 (ICDM Workshops, 2010)

XML Documents Clustering Using Tensor Space Model – A Preliminary Study. - Sangeetha Kutty; Richi Nayak; Yuefeng Li (ICDM Workshops, 2010)

A Social Matching System for an Online Dating Network: A Preliminary Study. - Richi Nayak; Meng Zhang; Lin Chen 012 (ICDM Workshops, 2010)

Recommender System Framework Using Clustering and Collaborative Filtering. - Namita Mittal; Richi Nayak; Mahesh Chandra Govil; Kamal Chand Jain (ICETET, 2010)

Combining Schema and Level-Based Matching for Web Service Discovery. - Alsayed Algergawy; Richi Nayak; Norbert Siegmund; Veit Köppen; Gunter Saake (ICWE, 2010)

Theoretical Model of User Acceptance: In the View of Measuring Success in Web Personalization. - Mohd Afandi Md Amin; Richi Nayak (HCIS, 2010)

Semantics-Based Web Service Discovery Using Information Retrieval Techniques. - Jun Hou; Jinglan Zhang; Richi Nayak; Aishwarya Bose (INEX, 2010)

Overview of the INEX 2010 XML Mining Track: Clustering and Classification of XML Documents. - Christopher M. De Vries; Richi Nayak; Sangeetha Kutty; Shlomo Geva; Andrea Tagarelli (INEX, 2010)

A Hybrid Approach of Personalized Web Information Retrieval. - Namita Mittal; Richi Nayak; Mahesh Chandra Govil; Kamal Chand Jain (Web Intelligence, 2010)

Element similarity measures in XML schema matching. - Alsayed Algergawy; Richi Nayak; Gunter Saake (Inf. Sci., 2010)

Report on INEX 2009. - Thomas Beckers 002; Patrice Bellot; Gianluca Demartini; Ludovic Denoyer; Christopher M. De Vries; Antoine Doucet; Khairun Nisa Fachry; Norbert Fuhr; Patrick Gallinari; Shlomo Geva; Wei Chi Huang; Tereza Iofciu; et al. (SIGIR Forum, 2010)

Improving Matching Process in Social Network Using Implicit and Explicit User Information. - Slah Alsaleh; Richi Nayak; Yue Xu 001; Lin Chen 012 (APWeb, 2011)

Effective Hybrid Recommendation Combining Users-Searches Correlations Using Tensors. - Rakesh Rawat; Richi Nayak; Yuefeng Li (APWeb, 2011)

Aggregate Distance Based Clustering Using Fibonacci Series-FIBCLUS. - Rakesh Rawat; Richi Nayak; Yuefeng Li; Slah Alsaleh (APWeb, 2011)

Finding and Matching Communities in Social Networks Using Data Mining. - Slah Alsaleh; Richi Nayak; Yue Xu 001 (ASONAM, 2011)

A Recommendation Method for Online Dating Networks Based on Social Relations and Demographic Information. - Lin Chen 012; Richi Nayak; Yue Xu 001 (ASONAM, 2011)

Social network analysis of an online dating network. - Lin Chen 012; Richi Nayak (C&T, 2011)

Assessment of Cardiovascular Disease Risk Prediction Models: Evaluation Methods. - Richi Nayak; Ellen Pitt (DASFAA (2), 2011)

Road crash proneness prediction using data mining. - Richi Nayak; Daniel Emerson; Justin Weligamage; Noppadol Piyatrapoomi (EDBT, 2011)

The hidden web, XML and the Semantic Web: scientific data management perspectives. - Fabian M. Suchanek; Aparna S. Varde; Richi Nayak; Pierre Senellart (EDBT, 2011)

XML Documents Clustering Using a Tensor Space Model. - Sangeetha Kutty; Richi Nayak; Yuefeng Li (PAKDD (1), 2011)

Utilizing Past Relations and User Similarities in a Social Matching System. - Richi Nayak (PAKDD (2), 2011)

Improving web database search incorporating users query information. - Rakesh Rawat; Richi Nayak; Yuefeng Li (WIMS, 2011)

The Hidden Web, XML and Semantic Web: A Scientific Data Management Perspective - Fabian M. Suchanek; Aparna S. Varde; Richi Nayak; Pierre Senellart (CoRR, 2011)

XML data clustering: An overview. - Alsayed Algergawy; Marco Mesiti; Richi Nayak; Gunter Saake (ACM Comput. Surv., 2011)

Personalised search - a hybrid approach for web information retrieval and its evaluation. - Namita Mittal; Richi Nayak; Mahesh Chandra Govil; Kamal Chand Jain (Int. J. Knowl. Web Intell., 2011)

Report on INEX 2010. - David Alexander; Paavo Arvola; Thomas Beckers 002; Patrice Bellot; Timothy Chappell; Christopher M. De Vries; Antoine Doucet; Norbert Fuhr; Shlomo Geva; Jaap Kamps; Gabriella Kazai; Marijn Koolen; et al. (SIGIR Forum, 2011)

Finding additional semantic entity information for search engines. - Jun Hou; Richi Nayak; Jinglan Zhang (ADCS, 2012)

Grouping people in social networks using a weighted multi-constraints clustering method. - Slah Alsaleh; Richi Nayak; Yue Xu 001 (FUZZ-IEEE, 2012)

A data analytics application assessing pavement deflection factors for a road network. - Richi Nayak; Rakesh Rawat; Justin Weligamage (iiWAS, 2012)

A common neighbour based two-way collaborative recommendation method. - Lin Chen 012; Richi Nayak; Yue Xu 001 (SAC, 2012)

A people-to-people recommendation system using tensor space models. - Sangeetha Kutty; Lin Chen 012; Richi Nayak (SAC, 2012)

Analyzing the Effectiveness of Graph Metrics for Anomaly Detection in Online Social Networks. - Reza Hassanzadeh; Richi Nayak; Douglas Stebila (WISE, 2012)

Discovering interesting information with advances in web technology. - Richi Nayak; Pierre Senellart; Fabian M. Suchanek; Aparna S. Varde (SIGKDD Explor., 2012)

Leveraging the network information for evaluating answer quality in a collaborative question answering portal. - Lin Chen 012; Richi Nayak (Soc. Netw. Anal. Min., 2012)

A Rule-Based Hybrid Method for Anomaly Detection in Online-Social-Network Graphs. - Reza Hassanzadeh; Richi Nayak (ICTAI, 2013)

A data mining driven risk profiling method for road asset management. - Daniel Emerson; Justin Weligamage; Richi Nayak (KDD, 2013)

ADMRG @ MediaEval 2013 Social Event Detection. - Taufik Sutanto; Richi Nayak (MediaEval, 2013)

Users segmentations for recommendation. - Lin Chen 012; Richi Nayak; Sangeetha Kutty; Yue Xu 001 (SAC, 2013)

A semi-supervised graph-based algorithm for detecting outliers in online-social-networks. - Reza Hassanzadeh; Richi Nayak (SAC, 2013)

A Recommendation Approach Dealing with Multiple Market Segments. - Lin Chen 012; Richi Nayak (Web Intelligence, 2013)

A Reciprocal Collaborative Method Using Relevance Feedback and Feature Importance. - Lin Chen 012; Richi Nayak (Web Intelligence, 2013)

A Novel Method for Finding Similarities between Unordered Trees Using Matrix Data Model. - Israt Jahan Chowdhury; Richi Nayak (WISE (1), 2013)

The Heterogeneous Cluster Ensemble Method Using Hubness for Clustering Text Documents. - Jun Hou; Richi Nayak (WISE (1), 2013)

A data analytics case study assessing factors affecting pavement deflection values. - Majid Seyfi; Rakesh Rawat; Justin Weligamage; Richi Nayak (Int. J. Bus. Intell. Data Min., 2013)

Identifying Product Families Using Data Mining Techniques in Manufacturing Paradigm. - Israt Jahan Chowdhury; Richi Nayak (AusDM, 2014)

An Efficient Tagging Data Interpretation and Representation Scheme for Item Recommendation. - Noor Ifada; Richi Nayak (AusDM, 2014)

Detecting Digital Newspaper Duplicates with Focus on eliminating OCR errors. - Yeshey Peden; Richi Nayak (AusDM, 2014)

A Case Study of Utilising Concept Knowledge in a Topic Specific Document Collection. - Gavin Shaw; Richi Nayak (AusDM, 2014)

Injury Narrative Text Classification: A Preliminary Study. - Lin Chen 012; Kirsten Vallmuur; Richi Nayak (DTMBIO@CIKM, 2014)

Two-way Recommendation Methods for Social Networks. - Richi Nayak (PIKM@CIKM, 2014)

Clustering and Labeling a Web Scale Document Collection using Wikipedia clusters. - Richi Nayak; Rachel Mills; Christopher M. De Vries; Shlomo Geva (Web-KRM@CIKM, 2014)

The Ranking Based Constrained Document Clustering Method and Its Application to Social Event Detection. - Taufik Sutanto; Richi Nayak (DASFAA (2), 2014)

Ranking Based Clustering for Social Event Detection. - Taufik Sutanto; Richi Nayak (MediaEval, 2014)

BEST: An Efficient Algorithm for Mining Frequent Unordered Embedded Subtrees. - Israt Jahan Chowdhury; Richi Nayak (PRICAI, 2014)

A Two-Stage Item Recommendation Method Using Probabilistic Ranking with Reconstructed Tensor Model. - Noor Ifada; Richi Nayak (UMAP, 2014)

BOSTER: An Efficient Algorithm for Mining Frequent Unordered Induced Subtrees. - Israt Jahan Chowdhury; Richi Nayak (WISE (1), 2014)

Mining Discriminative Itemsets in Data Streams. - Majid Seyfi; Shlomo Geva; Richi Nayak (WISE (1), 2014)

Tensor-based item recommendation using probabilistic ranking in social tagging systems. - Noor Ifada; Richi Nayak (WWW (Companion Volume), 2014)

A people-to-people matching system using graph mining techniques. - Sangeetha Kutty; Richi Nayak; Lin Chen 012 (World Wide Web, 2014)

Finding Within-Organisation Spatial Information on the Web. - Jun Hou; Ruth Schulz; Gordon F. Wyeth; Richi Nayak (Australasian Conference on Artificial Intelligence, 2015)

Understanding People Relationship: Analysis of Digitised Historical Newspaper Articles. - Sharon Torao-Pingi; Richi Nayak (Australasian Conference on Artificial Intelligence, 2015)

Robust clustering of multi-type relational data via a heterogeneous manifold ensemble. - Jun Hou; Richi Nayak (ICDE, 2015)

Do-Rank: DCG Optimization for Learning-to-Rank in Tag-Based Item Recommendation Systems. - Noor Ifada; Richi Nayak (PAKDD (2), 2015)

FreeS: A Fast Algorithm to Discover Frequent Free Subtrees Using a Novel Canonical Form. - Israt Jahan Chowdhury; Richi Nayak (WISE (1), 2015)

Semi-supervised Document Clustering via Loci. - Taufik Sutanto; Richi Nayak (WISE (2), 2015)

Parallel Streaming Signature EM-tree: A Clustering Algorithm for Web Scale Applications. - Christopher Michael De Vries; Lance De Vine; Shlomo Geva; Richi Nayak (WWW, 2015)

Injury narrative text classification using factorization model. - Lin Chen 012; Kirsten Vallmuur; Richi Nayak (BMC Medical Informatics Decis. Mak., 2015)

Using parallel hierarchical clustering to address spatial big data challenges. - Alan Woodley; Ling-Xiang Tang; Shlomo Geva; Richi Nayak; Timothy Chappell (IEEE BigData, 2016)

Efficient Feature Selection and Nearest Neighbour Search for Hyperspectral Image Classification. - Alan Woodley; Timothy Chappell; Shlomo Geva; Richi Nayak (DICTA, 2016)

Introducing the Sky and the Social Eye. - Alan Woodley; Shlomo Geva; Richi Nayak; Timothy Chappell (MediaEval, 2016)

WIMBY: What's in My Backyard? - Michael Dorkhom; Alan Woodley; Shlomo Geva; Richi Nayak (ACM Multimedia, 2016)

How Relevant is the Irrelevant Data: Leveraging the Tagging Data for a Learning-to-Rank Model. - Noor Ifada; Richi Nayak (WSDM, 2016)

Using web services to fuse remote sensing and multimedia data repositories. - Alan Woodley; Timothy Chappell; Shlomo Geva; Richi Nayak (ACSW, 2017)

Extracting point of interest and classifying environment for low sampling crowd sensing smartphone sensor data. - Billy Pik Lik Lau; Marakkalage Sumudu Hasala; Sanjana Kadaba Viswanath; Balasubramaniam Thirunavukarasu; Chau Yuen; Belinda Yuen; Richi Nayak (PerCom Workshops, 2017)

Identifying Points of Interest for Elderly in Singapore through Mobile Crowdsensing. - Marakkalage Sumudu Hasala; Billy Pik Lik Lau; Sanjana Kadaba Viswanath; Balasubramaniam Thirunavukarasu; Chau Yuen; Belinda Yuen; Richi Nayak (SMARTGREENS, 2017)

Efficient mining of discriminative itemsets. - Majid Seyfi; Richi Nayak; Yue Xu 001; Shlomo Geva (WI, 2017)

Spatial Information Recognition in Web Documents Using a Semi-supervised Machine Learning Method. - Hendi Lie; Richi Nayak; Gordon F. Wyeth (WISE (1), 2017)

A Novel Load Forecasting System Leveraging Database Technology. - Chee Keong Wee; Richi Nayak (ACIIDS (Extended Posters), 2018)

A Novel Database Exploitation Detection and Privilege Control System Using Data Mining. - Chee Keong Wee; Richi Nayak (ACIIDS (Extended Posters), 2018)

Discovering Influence Hierarchy Based on Frequent Social Interactions. - T. M. G. Tennakoon; Richi Nayak (ASONAM, 2018)

Misogynistic Tweet Detection: Modelling CNN with Small Datasets. - Md. Abul Bashar; Richi Nayak; Nicolas Suzor; Bridget Weir (AusDM, 2018)

A Novel Learning-to-Rank Method for Automated Camera Movement Control in E-Sports Spectating. - Hendi Lie; Darren Lukas; Jonathan Liebig; Richi Nayak (AusDM, 2018)

An Approach to Compress and Represents Time Series Data and Its Application in Electric Power Utilities. - Chee Keong Wee; Richi Nayak (AusDM, 2018)

Learning Association Relationship and Accurate Geometric Structures for Multi-Type Relational Data. - Khanh Luong; Richi Nayak (ICDE, 2018)

Understanding Urban Spatio-Temporal Usage Patterns Using Matrix Tensor Factorization. - Balasubramaniam Thirunavukarasu; Richi Nayak; Chau Yuen (ICDM Workshops, 2018)

Organizing Visions in Online Social Networks: The Role of Community Heterogeneity and Real-time Engagement. - Malmi Amadoru; Erwin Fielt; Marek Kowalkiewicz; Richi Nayak (ICIS, 2018)

Contextual Anomaly Detection in Spatio-Temporal Data Using Locally Dense Regions. - Gaurangi Anand; Richi Nayak (ICTAI, 2018)

Corpus-Based Augmented Media Posts with Density-Based Clustering for Community Detection. - Wathsala Anupama Mohotti; Richi Nayak (ICTAI, 2018)

A Concise Social Network Representation with Flow Hierarchy Using Frequent Interactions. - T. M. G. Tennakoon; Richi Nayak (ICTAI, 2018)

Nonnegative Coupled Matrix Tensor Factorization for Smart City Spatiotemporal Pattern Mining. - Balasubramaniam Thirunavukarasu; Richi Nayak; Chau Yuen (LOD, 2018)

An Efficient Ranking-Centered Density-Based Document Clustering Method. - Wathsala Anupama Mohotti; Richi Nayak (PAKDD (3), 2018)

A Novel Technique of Using Coupled Matrix and Greedy Coordinate Descent for Multi-view Data Representation. - Khanh Luong; Balasubramaniam Thirunavukarasu; Richi Nayak (WISE (2), 2018)

Fine-grained document clustering via ranking and its application to social media analytics. - Taufik Sutanto; Richi Nayak (Soc. Netw. Anal. Min., 2018)

Data Replication Optimization Using Simulated Annealing. - Chee Keong Wee; Richi Nayak (AusDM, 2019)

QutNocturnal@HASOC'19: CNN for Hate Speech and Offensive Content Identification in Hindi Language. - Md. Abul Bashar; Richi Nayak (FIRE (Working Notes), 2019)

Adaptive Database's Performance Tuning Based on Reinforcement Learning. - Chee Keong Wee; Richi Nayak (PKAW, 2019)

Concept Mining in Online Forums Using Self-corpus-Based Augmented Text Clustering. - Wathsala Anupama Mohotti; Darren Christopher Lukas; Richi Nayak (PRICAI (1), 2019)

Multi-type Relational Data Clustering for Community Detection by Exploiting Content and Structure Information in Social Networks. - Tennakoon Mudiyanselage Gayani Tennakoon; Khanh Luong; Wathsala Anupama Mohotti; Sharma Chakravarthy; Richi Nayak (PRICAI (2), 2019)

Sparsity Constraint Nonnegative Tensor Factorization for Mobility Pattern Mining. - Balasubramaniam Thirunavukarasu; Richi Nayak; Chau Yuen (PRICAI (2), 2019)

Transfer Learning via Feature Selection Based Nonnegative Matrix Factorization. - Balasubramaniam Thirunavukarasu; Richi Nayak; Chau Yuen (WISE, 2019)

Fine-grained Type Inference in Knowledge Graphs via Probabilistic and Tensor Factorization Methods. - A. B. M. Moniruzzaman; Richi Nayak; Maolin Tang; Balasubramaniam Thirunavukarasu (WWW, 2019)

Parallel K-Tree: A multicore, multinode solution to extreme clustering. - Alan Woodley; Ling-Xiang Tang; Shlomo Geva; Richi Nayak; Timothy Chappell (Future Gener. Comput. Syst., 2019)

A novel machine learning approach for database exploitation detection and privilege control. - Chee Keong Wee; Richi Nayak (J. Inf. Telecommun., 2019)

Adaptive load forecasting using reinforcement learning with database technology. - Chee Keong Wee; Richi Nayak (J. Inf. Telecommun., 2019)

MH-DAGMiner: maximal hierarchical sub-DAG mining in directed weighted networks. - T. M. G. Tennakoon; Richi Nayak (Knowl. Inf. Syst., 2019)

FCMiner: mining functional communities in social networks. - T. M. G. Tennakoon; Richi Nayak (Soc. Netw. Anal. Min., 2019)

Understanding the Lifestyle of Older Population: Mobile Crowdsensing Approach. - Marakkalage Sumudu Hasala; Serhad Sarica; Billy Pik Lik Lau; Sanjana Kadaba Viswanath; Balasubramaniam Thirunavukarasu; Chau Yuen; Belinda Yuen; Jianxi Luo; Richi Nayak (IEEE Trans. Comput. Soc. Syst., 2019)

A Novel Approach to Learning Consensus and Complementary Information for Multi-View Data Clustering. - Khanh Luong; Richi Nayak (ICDE, 2020)

Unsupervised Visual Time-Series Representation Learning and Clustering. - Gaurangi Anand; Richi Nayak (ICONIP (5), 2020)

Deep Hierarchical Non-negative Matrix Factorization for Clustering Short Text. - Wathsala Anupama Mohotti; Richi Nayak (ICONIP (2), 2020)

Understanding the Spatio-temporal Topic Dynamics of Covid-19 using Nonnegative Tensor Factorization: A Case Study. - Thirunavukarasu Balasubramaniam; Richi Nayak; Md. Abul Bashar (SSCI, 2020)

TAnoGAN: Time Series Anomaly Detection with Generative Adversarial Networks. - Md. Abul Bashar; Richi Nayak (SSCI, 2020)

Discovering Communities with SGNS Modelling-based Network connections and Text communications Clustering. - Wathsala Anupama Mohotti; Richi Nayak (SSCI, 2020)

Adaptive Data Replication Optimization Based on Reinforcement Learning. - Chee Keong Wee; Richi Nayak (SSCI, 2020)

Columnwise Element Selection for Computationally Efficient Nonnegative Coupled Matrix Tensor Factorization. - Balasubramaniam Thirunavukarasu; Richi Nayak; Chau Yuen (CoRR, 2020)

Propensity-to-Pay: Machine Learning for Estimating Prediction Uncertainty. - Md. Abul Bashar; Kieren Astin-Walmsley; Kerina Heath; Richi Nayak (CoRR, 2020)

Topic, Sentiment and Impact Analysis: COVID19 Information Seeking on Social Media. - Md. Abul Bashar; Richi Nayak; Thirunavukarasu Balasubramaniam (CoRR, 2020)

Reducing redundancy of test cases generation using code smell detection and refactoring. - Rosziati Ibrahim; Maryam Ahmed 003; Richi Nayak; Sapiee Jamel (J. King Saud Univ. Comput. Inf. Sci., 2020)

Regularising LSTM classifier by transfer learning for detecting misogynistic tweets with small training set. - Md. Abul Bashar; Richi Nayak; Nicolas Suzor (Knowl. Inf. Syst., 2020)

PaperMiner - a real-time spatiotemporal visualization for newspaper articles. - Sangeetha Kutty; Richi Nayak; Paul Turnbull; Ron Chernich; Gavin Kennedy; Kerry Raymond (Digit. Scholarsh. Humanit., 2020)

Efficient Outlier Detection in Text Corpus Using Rare Frequency and Ranking. - Wathsala Anupama Mohotti; Richi Nayak (ACM Trans. Knowl. Discov. Data, 2020)

Efficient Nonnegative Tensor Factorization via Saturating Coordinate Descent. - Balasubramaniam Thirunavukarasu; Richi Nayak; Chau Yuen (ACM Trans. Knowl. Discov. Data, 2020)

Nonnegative Matrix Factorization to Understand Spatio-Temporal Traffic Pattern Variations During COVID-19: A Case Study. - Anandkumar Balasubramaniam; Thirunavukarasu Balasubramaniam; Rathinaraja Jeyaraj; Anand Paul 001; Richi Nayak (AusDM, 2021)

Deep Learning for Bias Detection: From Inception to Deployment. - Md. Abul Bashar; Richi Nayak; Anjor Kothare; Vishal Sharma; Kesavan Kandadai (AusDM, 2021)

A Semi-automatic Data Extraction System for Heterogeneous Data Sources: a Case Study from Cotton Industry. - Richi Nayak; Thirunavukarasu Balasubramaniam; Sangeetha Kutty; Sachindra Banduthilaka; Erin E. Peterson (AusDM, 2021)

Investigation of Topic Modelling Methods for Understanding the Reports of the Mining Projects in Queensland. - Yasuko Okamoto; Thirunavukarasu Balasubramaniam; Richi Nayak (AusDM, 2021)

PostMatch: A Framework for Efficient Address Matching. - Darren Yates; Md Zahidul Islam 001; Yanchang Zhao; Richi Nayak; Vladimir Estivill-Castro; Salil S. Kanhere (AusDM, 2021)

Exploring Fusion Strategies in Deep Learning Models for Multi-Modal Classification. - Duoyi Zhang; Richi Nayak; Md. Abul Bashar (AusDM, 2021)

NOCOL - Nonnegative Orthogonal Constraint Outlier Learning. - Thirunavukarasu Balasubramaniam; Wathsala Anupama Mohotti; Richi Nayak; Chau Yuen (WISE (2), 2021)

Discovering cluster evolution patterns with the Cluster Association-aware matrix factorization. - Wathsala Anupama Mohotti; Richi Nayak (Knowl. Inf. Syst., 2021)

Mining discriminative itemsets in data streams using the tilted-time window model. - Majid Seyfi; Richi Nayak; Yue Xu 001; Shlomo Geva (Knowl. Inf. Syst., 2021)

DeLTa: Deep local pattern representation for time-series clustering and classification using visual perception. - Gaurangi Anand; Richi Nayak (Knowl. Based Syst., 2021)

Identifying Covid-19 misinformation tweets and learning their spatio-temporal topic dynamics using Nonnegative Coupled Matrix Tensor Factorization. - Thirunavukarasu Balasubramaniam; Richi Nayak; Khanh Luong; Md. Abul Bashar (Soc. Netw. Anal. Min., 2021)

Progressive domain adaptation for detecting hate speech on social media with small training set and its application to COVID-19 concerned posts. - Md. Abul Bashar; Richi Nayak; Khanh Luong; Thirunavukarasu Balasubramaniam (Soc. Netw. Anal. Min., 2021)

Active Learning for Effectively Fine-Tuning Transfer Learning to Downstream Task. - Md. Abul Bashar; Richi Nayak (ACM Trans. Intell. Syst. Technol., 2021)

Column-Wise Element Selection for Computationally Efficient Nonnegative Coupled Matrix Tensor Factorization. - Thirunavukarasu Balasubramaniam; Richi Nayak; Chau Yuen; Yu-Chu Tian (IEEE Trans. Knowl. Data Eng., 2021)

Machine Learning for Identifying Abusive Content in Text Data. - Richi Nayak; Hee Sook Baek (Advances in Selected Artificial Intelligence Areas, 2022)

Latent Pattern Identification Using Orthogonal-Constraint Coupled Nonnegative Matrix Factorization. - Anandkumar Balasubramaniam; Thirunavukarasu Balasubramaniam; Anand Paul 001; Richi Nayak (AI, 2022)

A Comparative Look at the Resilience of Discriminative and Generative Classifiers to Missing Data in Longitudinal Datasets. - Sharon Torao-Pingi; Md. Abul Bashar; Richi Nayak (AusDM, 2022)

DISSparse: Efficient Mining of Discriminative Itemsets. - Majid Seyfi; Richi Nayak; Yue Xu 001; Shlomo Geva (J. Inf. Knowl. Manag., 2022)

Multi-layer manifold learning for deep non-negative matrix factorization-based multi-view clustering. - Khanh Luong; Richi Nayak; Thirunavukarasu Balasubramaniam; Md. Abul Bashar (Pattern Recognit., 2022)

Deep learning based topic and sentiment analysis: COVID19 information seeking on social media. - Md. Abul Bashar; Richi Nayak; Thirunavukarasu Balasubramaniam (Soc. Netw. Anal. Min., 2022)

Learning Inter- and Intra-Manifolds for Matrix Factorization-Based Multi-Aspect Data Clustering. - Khanh Luong; Richi Nayak (IEEE Trans. Knowl. Data Eng., 2022)

Enhanced Topic Modeling with Multi-modal Representation Learning. - Duoyi Zhang; Yue Wang 130; Md. Abul Bashar; Richi Nayak (PAKDD (1), 2023)

GAN-IE: Generative Adversarial Network for Information Extraction with Limited Annotated Data. - Ahmed Shoeb Talukder; Richi Nayak; Md. Abul Bashar (WISE, 2023)

Informed Machine Learning, Centrality, CNN, Relevant Document Detection, Repatriation of Indigenous Human Remains. - Md. Abul Bashar; Richi Nayak; Gareth Knapman; Paul Turnbull; Cressida Fforde (CoRR, 2023)

ALGAN: Time Series Anomaly Detection with Adjusted-LSTM GAN. - Md. Abul Bashar; Richi Nayak (CoRR, 2023)

Machine learning for predicting propensity-to-pay energy bills. - Md. Abul Bashar; Richi Nayak; Kieren Astin-Walmsley; Kerina Heath (Intell. Syst. Appl., 2023)

Multi-aspect Learning - Methods and Applications - Richi Nayak; Khanh Luong (Springer, 2023)

Explainability of the COVID-19 epidemiological model with nonnegative tensor factorization. - Thirunavukarasu Balasubramaniam; David J. Warne; Richi Nayak; Kerrie L. Mengersen (Int. J. Data Sci. Anal., 2023)

DAC: Discriminative Associative Classification. - Majid Seyfi; Yue Xu 001; Richi Nayak (SN Comput. Sci., 2023)

Mining Discriminative Itemsets Over Data Streams Using Efficient Sliding Window. - Majid Seyfi; Richi Nayak; Yue Xu 001 (SN Comput. Sci., 2023)

Exploring topic models to discern cyber threats on Twitter: A case study on Log4Shell. - Yue Wang 130; Md. Abul Bashar; Mahinthan Chandramohan; Richi Nayak (Intell. Syst. Appl., 2023)

Improved prediction of biomass gasification models through machine learning. - Aban Sakheta; Thomas Raj; Richi Nayak; Ian O'Hara; Jerome Ramirez (Comput. Chem. Eng., 2024)

DCCNMF: Deep Complementary and Consensus Non-negative Matrix Factorization for multi-view clustering. - Sohan Gunawardena; Khanh Luong; Thirunavukarasu Balasubramaniam; Richi Nayak (Knowl. Based Syst., 2024)

Pre-gating and contextual attention gate - A new fusion method for multi-modal data tasks. - Duoyi Zhang; Richi Nayak; Md. Abul Bashar (Neural Networks, 2024)

Joint Representation Learning with Generative Adversarial Imputation Network for Improved Classification of Longitudinal Data. - Sharon Torao-Pingi; Duoyi Zhang; Md. Abul Bashar; Richi Nayak (Data Sci. Eng., 2024)

Conditional Generative Adversarial Network for Early Classification of Longitudinal Datasets Using an Imputation Approach. - Sharon Torao-Pingi; Richi Nayak; Md. Abul Bashar (ACM Trans. Knowl. Discov. Data, 2024)

Ensemble Learning with Pre-Trained Transformers for Crash Severity Classification: A Deep NLP Approach. - Shadi Jaradat; Richi Nayak; Alexander Paz; Mohammed Elhenawy (Algorithms, 2024)

Twitter's pulse on hydrogen energy in 280 characters: a data perspective. - Deepak Uniyal; Richi Nayak (Soc. Netw. Anal. Min., 2024)

AIMSCheck: Leveraging LLMs for AI-Assisted Review of Modern Slavery Statements Across Jurisdictions. - Adriana Eufrosina Bora; Akshatha Arodi; Duoyi Zhang; Jordan Bannister; Mirko Bronzi; Arsène Fansi Tchango; Md. Abul Bashar; Richi Nayak; Kerrie L. Mengersen (ACL (1), 2025)

Feature engineering on climate data with machine learning to understand time-lagging effects in pasture yield prediction. - Thirunavukarasu Balasubramaniam; Wathsala Anupama Mohotti; Kenneth Sabir; Richi Nayak (Ecol. Informatics, 2025)

Leveraging Deep Learning and Multimodal Large Language Models for Near-Miss Detection Using Crowdsourced Videos. - Shadi Jaradat; Mohammed Elhenawy; Huthaifa I. Ashqar; Alexander Paz; Richi Nayak (IEEE Open J. Comput. Soc., 2025)

A novel multi-modal fusion method based on uncertainty-guided meta-learning. - Duoyi Zhang; Md. Abul Bashar; Richi Nayak (Pattern Recognit., 2025)

Imputation of Longitudinal Data Using GANs: Challenges and Implications for Classification. - Sharon Torao-Pingi; Md. Abul Bashar; Richi Nayak (CoRR, 2025)

Prototypical network based few shot learning to detect Hindi-English code-mixed offensive text. - Shikha Mundra; Namita Mittal; Richi Nayak (Soc. Netw. Anal. Min., 2025)