Russel Pears - RankMe

92 papers A* 3B 11C 4Misc 5Journal 38Unranked 29

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Fingerprinting Concepts in Data Streams with Supervised and Unsupervised Meta-Information. CoRR Ben Halstead, Yun Sing Koh, Patricia Riddle, Mykola Pechenizkiy, Albert Bifet, Russel Pears
2025	J	`jnl`	Generating Human-Interpretable Rules from Convolutional Neural Networks. Inf. Russel Pears, Ashwini Kumar Sharma
2022	J	`jnl`	Analyzing and repairing concept drift adaptation in data stream classification. Mach. Learn. Ben Halstead, Yun Sing Koh, Patricia Riddle, Russel Pears, Mykola Pechenizkiy, Albert Bifet, Gustavo Olivares, Guy Coulson
2022	J	`jnl`	Novel method for optimizing performance in resource constrained distributed data streams. Appl. Intell. Rashi Bhalla, Russel Pears, Muhammad Asif Naeem, Farhaan Mirza
2021	B	`conf`	Analyzing and Repairing Concept Drift Adaptation in Data Stream Classification. DSAA Ben Halstead, Yun Sing Koh, Patricia Riddle, Russel Pears, Mykola Pechenizkiy, Albert Bifet, Gustavo Olivares, Guy Coulson
2021	A*	`conf`	Fingerprinting Concepts in Data Streams with Supervised and Unsupervised Meta-Information. ICDE Ben Halstead, Yun Sing Koh, Patricia Riddle, Mykola Pechenizkiy, Albert Bifet, Russel Pears
2021	J	`jnl`	Multi-interest semantic changes over time in short-text microblogs. Knowl. Based Syst. Herman Masindano Wandabwa, Muhammad Asif Naeem, Farhaan Mirza, Russel Pears
2021	J	`jnl`	Recurring concept memory management in data streams: exploiting data stream concept evolution to improve performance and transparency. Data Min. Knowl. Discov. Ben Halstead, Yun Sing Koh, Patricia Riddle, Russel Pears, Mykola Pechenizkiy, Albert Bifet
2021	J	`jnl`	Topical affinity in short text microblogs. Inf. Syst. Herman Masindano Wandabwa, Muhammad Asif Naeem, Farhaan Mirza, Russel Pears
2020	—	`conf`	Automating Inspection of Moveable Lane Barrier for Auckland Harbour Bridge Traffic Safety. ICONIP (1) Boris Bacic, Munish Rathee, Russel Pears
2020	J	`jnl`	Enhancing random projection with independent and cumulative additive noise for privacy-preserving data stream mining. Expert Syst. Appl. Benjamin Denham, Russel Pears, Muhammad Asif Naeem
2020	—	`conf`	Follow-back Recommendations for Sports Bettors: A Twitter-based Approach. HICSS Herman Masindano Wandabwa, Muhammad Asif Naeem, Farhaan Mirza, Russel Pears
2020	J	`jnl`	HDSM: A distributed data mining approach to classifying vertically distributed data streams. Knowl. Based Syst. Benjamin Denham, Russel Pears, Muhammad Asif Naeem
2020	—	`conf`	Multi-interest User Profiling in Short Text Microblogs. DESRIST Herman Masindano Wandabwa, Muhammad Asif Naeem, Farhaan Mirza, Russel Pears, Andy Nguyen
2020	A*	`conf`	Null-Labelling: A Generic Approach for Learning in the Presence of Class Noise. ICDM Benjamin Denham, Russel Pears, Muhammad Asif Naeem
2019	J	`jnl`	A smart system for short-term price prediction using time series models. Comput. Electr. Eng. Huy Vuong Nguyen, Muhammad Asif Naeem, Nuttanan Wichitaksorn, Russel Pears
2019	J	`jnl`	SENTIPEDE: A Smart System for Sentiment-based Personality Detection from Short Texts. J. Univers. Comput. Sci. Adi Darliansyah, Muhammad Asif Naeem, Farhaan Mirza, Russel Pears
2019	—	`conf`	Topical Expressivity in Short Texts. CONF-IRM Herman Masindano Wandabwa, Muhammad Asif Naeem, Farhaan Mirza, Russel Pears
2018	J	`jnl`	A Metamodel Enabled Approach for Discovery of Coherent Topics in Short Text Microblogs. IEEE Access Herman Masindano Wandabwa, Muhammad Asif Naeem, Russel Pears, Farhaan Mirza
2018	J	`jnl`	An evolving spatio-temporal approach for gender and age group classification with Spiking Neural Networks. Evol. Syst. Fahad Bashir Alvi, Russel Pears, Nikola K. Kasabov
2018	J	`jnl`	Evaluating the Quality of Drupal Software Modules. Int. J. Softw. Eng. Knowl. Eng. Benjamin Denham, Russel Pears, Andy M. Connor
2018	—	`conf`	Long-Term Trends in Public Sentiment in Indian Demonetisation Policy. INTAP Adi Darliansyah, Herman Masindano Wandabwa, Muhammad Asif Naeem, Farhaan Mirza, Russel Pears
2018	J	`jnl`	The incremental Fourier classifier: Leveraging the discrete Fourier transform for classifying high speed data streams. Expert Syst. Appl. Chamari I. Kithulgoda, Russel Pears, Muhammad Asif Naeem
2017	J	`jnl`	A composite spatio-temporal modeling approach for age invariant face recognition. Expert Syst. Appl. Fahad Bashir Alvi, Russel Pears
2017	C	`conf`	Detecting precursor patterns for frequency fluctuation in an electrical grid. SNPD Md. Shahidul Islam, Russel Pears, Boris Bacic
2017	Misc	`conf`	Identifying Precursors to Frequency Fluctuation Events in Electrical Power Generation Data. AusDM Md. Shahidul Islam, Russel Pears, Boris Bacic
2016	J	`jnl`	Capturing recurring concepts using discrete Fourier transform. Concurr. Comput. Pract. Exp. Sripirakas Sakthithasan, Russel Pears
2016	J	`jnl`	Data stream mining for predicting software build outcomes using source code metrics. CoRR Jacqui Finlay, Russel Pears, Andy M. Connor
2016	B	`conf`	Staged Online Learning: A new approach to classification in high speed data streams. IJCNN Chamari I. Kithulgoda, Russel Pears
2015	J	`jnl`	A graph based approach to inferring item weights for pattern mining. Expert Syst. Appl. Russel Pears, Songwut Pisalpanus, Yun Sing Koh
2015	J	`jnl`	Goal-oriented dynamic test generation. Inf. Softw. Technol. TheAnh Do, Siau-Cheng Khoo, Alvis Cheuk Ming Fong, Russel Pears, Tho Thanh Quan
2015	B	`conf`	HI-Tree: Mining High Influence Patterns Using External and Internal Utility Values. DaWaK Yun Sing Koh, Russel Pears
2015	—	`conf`	Measuring Cascading Failures for Smart Grids Vulnerability Assessment. DSDIS Sotharith Tauch, William Liu, Russel Pears
2015	—	`conf`	Measuring cascade effects in interdependent networks by using effective graph resistance. INFOCOM Workshops Sotharith Tauch, William Liu, Russel Pears
2015	J	`jnl`	Use of Ensembles of Fourier Spectra in Capturing Recurrent Concepts in Data Streams. CoRR Sripirakas Sakthithasan, Russel Pears, Albert Bifet, Bernhard Pfahringer
2015	B	`conf`	Use of ensembles of Fourier spectra in capturing recurrent concepts in data streams. IJCNN Sripirakas Sakthithasan, Russel Pears, Albert Bifet, Bernhard Pfahringer
2015	Misc	`conf`	Use of spatio-temporal modeling for age invariant face recognition. IVCNZ Fahad Bashir Alvi, Russel Pears
2014	J	`jnl`	Data stream mining for predicting software build outcomes using source code metrics. Inf. Softw. Technol. Jacqui Finlay, Russel Pears, Andy M. Connor
2014	—	`conf`	Detecting Changes in Rare Patterns from Data Streams. PAKDD (2) David Tse Jung Huang, Yun Sing Koh, Gillian Dobbie, Russel Pears
2014	A*	`conf`	Detecting Volatility Shift in Data Streams. ICDM David Tse Jung Huang, Yun Sing Koh, Gillian Dobbie, Russel Pears
2014	J	`jnl`	Detecting concept change in dynamic data streams - A sequential approach based on reservoir sampling. Mach. Learn. Russel Pears, Sripirakas Sakthithasan, Yun Sing Koh
2014	J	`jnl`	Efficient negative association rule mining based on chance thresholds. Intell. Data Anal. Yun Sing Koh, Russel Pears
2014	B	`conf`	Extracting temporal knowledge from time series: A case study in ecological data. IJCNN Reggio N. Hartono, Russel Pears, Nikola K. Kasabov, Susan P. Worner
2014	J	`jnl`	Improving web search using contextual retrieval. CoRR Dilip Kumar Limbu, Andy M. Connor, Russel Pears, Stephen G. MacDonell
2014	B	`conf`	Mining Recurrent Concepts in Data Streams Using the Discrete Fourier Transform. DaWaK Sripirakas Sakthithasan, Russel Pears
2014	J	`jnl`	Mining Recurrent Concepts in Data Streams using the Discrete Fourier Transform. CoRR Sripirakas Sakthithasan, Russel Pears
2014	J	`jnl`	Mining Software Metrics from Jazz. CoRR Jacqui Finlay, Andy M. Connor, Russel Pears
2014	J	`jnl`	Mining developer communication data streams. CoRR Andy M. Connor, Jacqui Finlay, Russel Pears
2014	C	`conf`	Synthetic Minority Over-sampling TEchnique (SMOTE) for Predicting Software Build Outcomes. SEKE Jacqui Finlay, Russel Pears, Andy M. Connor
2014	J	`jnl`	Synthetic Minority Over-sampling TEchnique(SMOTE) for Predicting Software Build Outcomes. CoRR Russel Pears, Jacqui Finlay, Andy M. Connor
2014	—	`conf`	Web Materialization Formulation: Modelling Feasible Solutions. DEXA (2) Srdan Zagorac, Russel Pears
2013	J	`jnl`	A data mining approach to knowledge discovery from multidimensional cube structures. Knowl. Based Syst. Muhammad Usman, Russel Pears, Alvis Cheuk M. Fong
2013	—	`conf`	Cascade effects of load shedding in coupled networks. ICON Sotharith Tauch, William Liu, Russel Pears
2013	J	`jnl`	Discovering diverse association rules from multidimensional schema. Expert Syst. Appl. Muhammad Usman, Russel Pears, Alvis Cheuk M. Fong
2013	J	`jnl`	Evolving integrated multi-model framework for on line multiple time series prediction. Evol. Syst. Russel Pears, Harya Widiputra, Nikola K. Kasabov
2013	—	`conf`	One Pass Concept Change Detection for Data Streams. PAKDD (2) Sripirakas Sakthithasan, Russel Pears, Yun Sing Koh
2013	—	`conf`	Tracking Drift Types in Changing Data Streams. ADMA (1) David Tse Jung Huang, Yun Sing Koh, Gillian Dobbie, Russel Pears
2013	J	`jnl`	Weighted association rule mining via a graph based connectivity model. Inf. Sci. Russel Pears, Yun Sing Koh, Gillian Dobbie, Wai K. Yeap
2012	Misc	`conf`	Data Guided Approach to Generate Multi-dimensional Schema for Targeted Knowledge Discovery. AusDM Muhammad Usman, Russel Pears, Alvis Cheuk M. Fong
2012	—	`conf`	Dynamic Symbolic Execution Guided by Data Dependency Analysis for High Structural Coverage. ENASE (Selected Papers) TheAnh Do, Alvis Cheuk M. Fong, Russel Pears
2012	B	`conf`	Extrapolation Prefix Tree for Data Stream Mining Using a Landmark Model. DaWaK Yun Sing Koh, Russel Pears, Gillian Dobbie
2012	—	`conf`	Kernel-Tree: Mining Frequent Patterns in a Data Stream Based on Forecast Support. Australasian Conference on Artificial Intelligence David Tse Jung Huang, Yun Sing Koh, Gillian Dobbie, Russel Pears
2012	B	`conf`	Precise Guidance to Dynamic Test Generation. ENASE TheAnh Do, Alvis Cheuk M. Fong, Russel Pears
2012	—	`conf`	Scalable automated test generation using coverage guidance and random search. AST@ICSE TheAnh Do, Alvis Cheuk M. Fong, Russel Pears
2012	—	`conf`	WeightTransmitter: Weighted Association Rule Mining Using Landmark Weights. PAKDD (2) Yun Sing Koh, Russel Pears, Gillian Dobbie
2011	—	`conf`	Automatic Assignment of Item Weights for Pattern Mining on Data Streams. PAKDD (1) Yun Sing Koh, Russel Pears, Gillian Dobbie
2011	J	`jnl`	Automatic Item Weight Generation for Pattern Mining and its Application. Int. J. Data Warehous. Min. Yun Sing Koh, Russel Pears, Gillian Dobbie
2011	—	`conf`	Discriminatory Confidence Analysis in Pattern Mining. ADMA (1) Russel Pears, Yun Sing Koh, Gillian Dobbie
2011	J	`jnl`	Dynamic Interaction Networks versus Local Trend Models for Multiple Time-Series Prediction. Cybern. Syst. Harya Widiputra, Russel Pears, Nikola K. Kasabov
2011	B	`conf`	How Effective is Model Checking in Practice? ENASE TheAnh Do, Alvis Cheuk M. Fong, Russel Pears
2011	C	`conf`	Mining Software Metrics from Jazz. SERA Jacqui Finlay, Andy M. Connor, Russel Pears
2011	—	`conf`	Multi Level Mining of Warehouse Schema. NDT Muhammad Usman, Russel Pears
2011	—	`conf`	Multiple Time-Series Prediction through Multiple Time-Series Relationships Profiling and Clustered Recurring Trends. PAKDD (2) Harya Widiputra, Russel Pears, Nikola K. Kasabov
2011	—	`conf`	Weighted Association Rule Mining Using Particle Swarm Optimization. PAKDD Workshops Russel Pears, Yun Sing Koh
2010	—	`conf`	EWGen: Automatic Generation of Item Weights for Weighted Association Rule Mining. ADMA (1) Russel Pears, Yun Sing Koh, Gillian Dobbie
2010	J	`jnl`	Integration of Data Mining and Data Warehousing: A Practical Methodology. Int. J. Adv. Comp. Techn. Muhammad Usman, Russel Pears
2010	—	`conf`	Valency Based Weighted Association Rule Mining. PAKDD (1) Yun Sing Koh, Russel Pears, Wai-Kiang Yeap
2009	—	`conf`	A Novel Evolving Clustering Algorithm with Polynomial Regression for Chaotic Time-Series Prediction. ICONIP (2) Harya Widiputra, Henry Kho, Lukas, Russel Pears, Nikola K. Kasabov
2009	B	`conf`	CBDT: A Concept Based Approach to Data Stream Mining. PAKDD Stefan Hoeglinger, Russel Pears, Yun Sing Koh
2009	J	`jnl`	Dynamic interaction networks in modelling and predicting the behaviour of multiple interactive stock markets. Intell. Syst. Account. Finance Manag. Harya Widiputra, Russel Pears, Antoaneta Serguieva, Nikola K. Kasabov
2009	—	`conf`	Improving Web Search Using Contextual Retrieval. ITNG Dilip Kumar Limbu, Andrew M. Connor, Russel Pears, Stephen G. MacDonell
2009	Misc	`conf`	Non-Redundant Rare Itemset Generation. AusDM Yun Sing Koh, Russel Pears
2009	—	`ch.`	Optimization of Multidimensional Aggregates in Data Warehouses. Database Technologies: Concepts, Methodologies, Tools, and Applications Russel Pears, Bryan Houliston
2008	—	`conf`	'Blast Those Sequences': A Gridified Framework for Bioinformatics Blast Using the A3pviGrid. BIOTECHNO Avinash Shankaranarayanan, Christine Amaldas, Russel Pears
2008	—	`ch.`	Integrating Local and Personalised Modelling with Global Ontology Knowledge Bases for Biomedical and Bioinformatics Decision Support. Computational Intelligence in Biomedicine and Bioinformatics Nikola K. Kasabov, Qun Song, Lubica Benuskova, Paulo C. M. Gottgtroy, Vishal Jain, Anju Verma, Ilkka Havukkala, Elaine Rush, Russel Pears, Alex Tjahjana, Yingjie Hu, Stephen G. MacDonell
2008	—	`conf`	Personalised Modelling for Multiple Time-Series Data Prediction: A Preliminary Investigation in Asia Pacific Stock Market Indexes Movement. ICONIP (1) Harya Widiputra, Russel Pears, Nikola K. Kasabov
2008	Misc	`conf`	Rare Association Rule Mining via Transaction Clustering. AusDM Yun Sing Koh, Russel Pears
2008	B	`conf`	Transaction Clustering Using a Seeds Based Approach. PAKDD Yun Sing Koh, Russel Pears
2007	—	`conf`	Efficiently Finding Negative Association Rules Without Support Threshold. Australian Conference on Artificial Intelligence Yun Sing Koh, Russel Pears
2007	C	`conf`	FGC: An Efficient Constraint Based Frequent Set Miner. AICCSA Russel Pears, Sangeetha Kutty
2007	J	`jnl`	Optimization of Multidimensional Aggregates in Data Warehouses. J. Database Manag. Russel Pears, Bryan Houliston
2006	—	`conf`	Contextual relevance feedback in web information retrieval. IIiX Dilip Kumar Limbu, Andy M. Connor, Russel Pears, Stephen G. MacDonell