Patricia J. Riddle

According to our database1, Patricia J. Riddle authored at least 59 papers between 1989 and 2021.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.



In proceedings 
PhD thesis 


Online presence:



Recurring concept memory management in data streams: exploiting data stream concept evolution to improve performance and transparency.
Data Min. Knowl. Discov., 2021

Towards Knowledgeable Supervised Lifelong Learning Systems.
J. Artif. Intell. Res., 2020

Your Best Guess When You Know Nothing: Identification and Mitigation of Selection Bias.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020

A Unifying View on Individual Bounds and Heuristic Inaccuracies in Bidirectional Search.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

A Theoretical Comparison of the Bounds of MM, NBS, and GBFHS.
Proceedings of the Twelfth International Symposium on Combinatorial Search, 2019

Selective Hypothesis Transfer for Lifelong Learning.
Proceedings of the International Joint Conference on Neural Networks, 2019

Health Consumer Usage Patterns in Management of CVD using Data Mining Techniques.
Proceedings of the Australasian Computer Science Week Multiconference, 2019

Multivariate Sequential Analytics for Treatment Trajectory Forecasting.
Proceedings of the Australasian Computer Science Week Multiconference, 2019

Investigating the effect of novel classes in semi-supervised learning.
Proceedings of The 11th Asian Conference on Machine Learning, 2019

GBFHS: A Generalized Breadth-First Heuristic Search Algorithm.
Proceedings of the Eleventh International Symposium on Combinatorial Search, 2018

Using Supervised Pretraining to Improve Generalization of Neural Networks on Binary Classification Problems.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

Predicting Air Quality from Low-Cost Sensor Measurements.
Proceedings of the Data Mining - 16th Australasian Conference, AusDM 2018, Bahrurst, NSW, 2018

Meta-Search Through the Space of Representations and Heuristics on a Problem by Problem Basis.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

mHUIMiner: A Fast High Utility Itemset Mining Algorithm for Sparse Datasets.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2017

AccGenSVM: Selectively Transferring from Previous Hypotheses.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Texture modelling with nested high-order Markov-Gibbs random fields.
Comput. Vis. Image Underst., 2016

Markov-Gibbs Texture Modelling with Learnt Freeform Filters.
Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2016

Proactive drift detection: Predicting concept drifts in data streams using probabilistic networks.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Automated Transformation of PDDL Representations.
Proceedings of the Eighth Annual Symposium on Combinatorial Search, 2015

Texture modelling with non-contiguous filters.
Proceedings of the 2015 International Conference on Image and Vision Computing New Zealand, 2015

Tracking Drift Severity in Data Streams.
Proceedings of the AI 2015: Advances in Artificial Intelligence, 2015

Web usage mining based recommender systems using implicit heterogeneous data: - A Particle Swarm Optimization based clustering approach.
Web Intell. Agent Syst., 2014

Research on particle swarm optimization based clustering: A systematic review of literature and techniques.
Swarm Evol. Comput., 2014

Learning High-order Generative Texture Models.
Proceedings of the 29th International Conference on Image and Vision Computing New Zealand, 2014

Web bots detection using Particle Swarm Optimization based clustering.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

Profiling Cardiovascular Disease Event Risk through Clustering of Classification Association Rules.
Proceedings of the 2014 IEEE 27th International Symposium on Computer-Based Medical Systems, 2014

Overcoming the Utility Problem in Heuristic Generation: Why Time Matters.
Proceedings of the Twenty-Fourth International Conference on Automated Planning and Scheduling, 2014

Clustering heterogeneous web usage data using Hierarchical Particle Swarm Optimization.
Proceedings of the 2013 IEEE Symposium on Swarm Intelligence, 2013

Analysis of Web Usage Data for Clustering Based Recommender System.
Proceedings of the Trends in Practical Applications of Agents and Multiagent Systems, 2013

Learning generic third-order MGRF texture models.
Proceedings of the 28th International Conference on Image and Vision Computing New Zealand, 2013

Using Ensembles for Web Effort Estimation.
Proceedings of the 2013 ACM / IEEE International Symposium on Empirical Software Engineering and Measurement, 2013

Evaluating the Seeding Genetic Algorithm.
Proceedings of the AI 2013: Advances in Artificial Intelligence, 2013

A New Efficient In Situ Sampling Model for Heuristic Selection in Optimal Search.
Proceedings of the AI 2013: Advances in Artificial Intelligence, 2013

Solving the traveling tournament problem with iterative-deepening A∗.
J. Sched., 2012

A systematic review of web resource estimation.
Proceedings of the 8th International Conference on Predictive Models in Software Engineering, 2012

Hierarchical PSO clustering based recommender system.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

Does Representation Matter in the Planning Competition?
Proceedings of the Ninth Symposium on Abstraction, Reformulation, and Approximation, 2011

Towards Recommender System Using Particle Swarm Optimization Based Web Usage Clustering.
Proceedings of the New Frontiers in Applied Data Mining, 2011

Semantic Space models for classification of consumer webpages on metadata attributes.
J. Biomed. Informatics, 2010

Particle Swarm Optimization Based Hierarchical Agglomerative Clustering.
Proceedings of the 2010 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, 2010

A swarm intelligence based clustering approach for outlier detection.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

Constraint Optimisation for Robust Image Matching with Inhomogeneous Photometric Variations and Affine Noise.
Proceedings of the Advanced Concepts for Intelligent Vision Systems, 2010

An ant colony optimization approach to the traveling tournament problem.
Proceedings of the Genetic and Evolutionary Computation Conference, 2009

DFS* and the Traveling Tournament Problem.
Proceedings of the Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems, 2009

Exploiting Swarm Behaviour of Simple Agents for Clustering Web Users' Session Data.
Proceedings of the Data Mining and Multi-agent Integration, 2009

An Evolutionary Particle Swarm Optimization algorithm for data clustering.
Proceedings of the 2008 IEEE Swarm Intelligence Symposium, 2008

Modelling and synthesising F0 contours with the discrete cosine transform.
Proceedings of the IEEE International Conference on Acoustics, 2008

Particle Swarm Optimization Based Clustering of Web Usage Data.
Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and International Conference on Intelligent Agent Technology, 2008

Ant Colony Optimization and the Single Round Robin Maximum Value Problem.
Proceedings of the Ant Colony Optimization and Swarm Intelligence, 2008

Random search can outperform mutation.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

Generalized Unified Decomposition of Ensemble Loss.
Proceedings of the AI 2006: Advances in Artificial Intelligence, 2006

Mathematics prevents bloat [genetic programming].
Proceedings of the IEEE Congress on Evolutionary Computation, 2005

Expected Rates of Building Block Discovery, Retention and Combination Under 1-Point and Uniform Crossover.
Proceedings of the Parallel Problem Solving from Nature, 2004

Evolving controllers for virtual creature locomotion.
Proceedings of the 1st International Conference on Computer Graphics and Interactive Techniques in Australasia and Southeast Asia 2003, 2003

A Unified Decomposition of Ensemble Loss for Predicting Ensemble Performance.
Proceedings of the Machine Learning, 2002

Scaling Up Inductive Logic Programming: An Evolutionary Wrapper Approach.
Appl. Intell., 2001

Evolving Logic Programs to Classify Chess-Endgame Positions.
Proceedings of the Simulated Evolution and Learning, 1998

Representation design and brut-force induction in a Boeing manufacturing domain.
Appl. Artif. Intell., 1994

Reformation from State Space to Reduction Space.
Proceedings of the Sixth International Workshop on Machine Learning (ML 1989), 1989