Patricia Riddle

发表

Research on particle swarm optimization based clustering: A systematic review of literature and techniques

Gillian Dobbie, Yun Sing Koh, Saeed Ur Rehman, 2014, Swarm Evol. Comput..

Knowledge repositories for multiple uses

Keith E. Williamson, Patricia Riddle, Keith Williamson, 1991 .

Web bots detection using Particle Swarm Optimization based clustering

Gillian Dobbie, Yun Sing Koh, Shafiq Alam, 2014, 2014 IEEE Congress on Evolutionary Computation (CEC).

Multivariate Sequential Analytics for Treatment Trajectory Forecasting

Patricia Riddle, Jim Warren, William Hsu, 2019, ACSW.

Evolving controllers for virtual creature locomotion

Patricia Riddle, Richard Lobb, Michael Sanders, 2003, GRAPHITE '03.

Texture modelling with nested high-order Markov-Gibbs random fields

Georgy L. Gimel'farb, Patricia Riddle, Ralph Versteegen, 2015, Comput. Vis. Image Underst..

Particle Swarm Optimization Based Hierarchical Agglomerative Clustering

Gillian Dobbie, M. Asif Naeem, Shafiq Alam, 2010, 2010 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology.

Using Supervised Pretraining to Improve Generalization of Neural Networks on Binary Classification Problems

Yun Sing Koh, Patricia Riddle, Bernhard Pfahringer, 2018, ECML/PKDD.

Clustering heterogeneous web usage data using Hierarchical Particle Swarm Optimization

Gillian Dobbie, Yun Sing Koh, Shafiq Alam, 2013, 2013 IEEE Symposium on Swarm Intelligence (SIS).

Semantic Space models for classification of consumer webpages on metadata attributes

Guocai Chen, Patricia Riddle, Jim Warren, 2010, J. Biomed. Informatics.

mHUIMiner: A Fast High Utility Itemset Mining Algorithm for Sparse Datasets

Yun Sing Koh, Patricia Riddle, Alex Yuxuan Peng, 2017, PAKDD.

AccGenSVM: Selectively Transferring from Previous Hypotheses

Yun Sing Koh, Patricia Riddle, Diana Benavides Prado, 2017, IJCAI.

Proactive drift detection: Predicting concept drifts in data streams using probabilistic networks

Yun Sing Koh, Patricia Riddle, Kylie Chen, 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

A systematic review of web resource estimation

Emilia Mendes, Patricia Riddle, Damir Azhar, 2012, PROMISE '12.

Tracking Drift Severity in Data Streams

Yun Sing Koh, Patricia Riddle, Kylie Chen, 2015, Australasian Conference on Artificial Intelligence.

Automating Problem Reformulation

Patricia Riddle, Pat Riddle, 1990 .

Markov-Gibbs Texture Modelling with Learnt Freeform Filters

Georgy L. Gimel'farb, Patricia Riddle, Ralph Versteegen, 2016, S+SSPR.

Towards Recommender System Using Particle Swarm Optimization Based Web Usage Clustering

Gillian Dobbie, Shafiq Alam, Patricia Riddle, 2011, PAKDD Workshops.

Profiling Cardiovascular Disease Event Risk through Clustering of Classification Association Rules

Patricia Riddle, Jim Warren, Shen Song, 2014, 2014 IEEE 27th International Symposium on Computer-Based Medical Systems.

An Evolutionary Particle Swarm Optimization algorithm for data clustering

Gillian Dobbie, Shafiq Alam, Patricia Riddle, 2008, 2008 IEEE Swarm Intelligence Symposium.

Exploiting Swarm Behaviour of Simple Agents for Clustering Web Users' Session Data

Gillian Dobbie, Shafiq Alam, Patricia Riddle, 2009, Data Mining and Multi-agent Integration.

Modelling and synthesising F0 contours with the discrete cosine transform

Patricia Riddle, Catherine I. Watson, Jonathan Teutenberg, 2008, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing.

Particle Swarm Optimization Based Clustering of Web Usage Data

Gillian Dobbie, Shafiq Alam, Patricia Riddle, 2008, 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology.

A swarm intelligence based clustering approach for outlier detection

Gillian Dobbie, M. Asif Naeem, Shafiq Alam, 2010, IEEE Congress on Evolutionary Computation.

Adaptive Problem Solving

Patricia Riddle, Mike Barley, 2017 .

Using Ensembles for Web Effort Estimation

Lefteris Angelis, Emilia Mendes, Patricia Riddle, 2013, 2013 ACM / IEEE International Symposium on Empirical Software Engineering and Measurement.

Health Consumer Usage Patterns in Management of CVD using Data Mining Techniques

Patricia Riddle, Jim Warren, Devipriyaa Nagappan, 2019, ACSW.

Constraint Optimisation for Robust Image Matching with Inhomogeneous Photometric Variations and Affine Noise

Georgy L. Gimel'farb, Patrice Delmas, Patricia Riddle, 2010, ACIVS.

Hierarchical PSO clustering based recommender system

Gillian Dobbie, Yun Sing Koh, Shafiq Alam, 2012, 2012 IEEE Congress on Evolutionary Computation.

Reformulation from state space of reduction space

Patricia Riddle, 1989, ICML 1989.

Predicting Air Quality from Low-Cost Sensor Measurements

Yun Sing Koh, Patricia Riddle, Gustavo Olivares, 2018, AusDM.

Analysis of Web Usage Data for Clustering Based Recommender System

Gillian Dobbie, Yun Sing Koh, Shafiq Alam, 2013, PAAMS.

Are Inductive Learning Algorithms Safe in a Continuous Learning Environment

Hans W. Guesgen, Patricia Riddle, Mike Barley, 2002 .

Recurring concept memory management in data streams: exploiting data stream concept evolution to improve performance and transparency

Mykola Pechenizkiy, Yun Sing Koh, Russel Pears, 2021, Data Mining and Knowledge Discovery.

Analyzing and Repairing Concept Drift Adaptation in Data Stream Classification

Mykola Pechenizkiy, Yun Sing Koh, Russel Pears, 2021, 2021 IEEE 8th International Conference on Data Science and Advanced Analytics (DSAA).

Fingerprinting Concepts in Data Streams with Supervised and Unsupervised Meta-Information

Mykola Pechenizkiy, Yun Sing Koh, Russel Pears, 2021, 2021 IEEE 37th International Conference on Data Engineering (ICDE).