Patricia J. Riddle

According to our database, Patricia J. Riddle authored at least 83 papers between 1989 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Forecasting severe respiratory disease hospitalizations using machine learning algorithms.

Steffen Albrecht, David Broderick, Katharina Dost, Isabella Cheung, Nhung Nghiem, Milton Wu, Johnny Zhu, Nooriyan Poonawala-Lohani, Sarah Jamison, Damayanthi Rasanathan, Sue Huang, Adrian Trenholme, Alicia Stanley, Shirley Lawrence, Samantha Marsh, Lorraine Castelino, Janine Paynter, Nikki Turner, Peter McIntyre, Patricia Riddle, Cameron Grant, Gillian Dobbie, Jörg Simon Wicker

BMC Medical Informatics Decis. Mak., December, 2024

Attacking the Loop: Adversarial Attacks on Graph-Based Loop Closure Detection.

Jonathan J. Y. Kim, Martin Urschler, Patricia J. Riddle, Jörg S. Wicker

Proceedings of the 19th International Joint Conference on Computer Vision, 2024

Periormer: Periodic Transformer for Seasonal and Irregularly Sampled Time Series.

Xiaobin Ren, Kaiqi Zhao, Katerina Taskova, Patricia Riddle, Lianyan Li

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

Combatting over-specialization bias in growing chemical databases.

Katharina Dost, Zac Pullar-Strecker, Liam Brydon, Kunyang Zhang, Jasmin Hafner, Patricia J. Riddle, Jörg S. Wicker

J. Cheminformatics, December, 2023

Teaching Smaller Language Models To Generalise To Unseen Compositional Questions.

Tim Hartill, Neset Tan, Michael Witbrock, Patricia J. Riddle

Trans. Mach. Learn. Res., 2023

Combining Diverse Meta-Features to Accurately Identify Recurring Concept Drift in Data Streams.

Ben Halstead, Yun Sing Koh, Patricia Riddle, Mykola Pechenizkiy, Albert Bifet

ACM Trans. Knowl. Discov. Data, 2023

DAMR: Dynamic Adjacency Matrix Representation Learning for Multivariate Time Series Imputation.

Xiaobin Ren, Kaiqi Zhao, Patricia J. Riddle, Katerina Taskova, Qingyi Pan, Lianyan Li

Proc. ACM Manag. Data, 2023

Do Smaller Language Models Answer Contextualised Questions Through Memorisation Or Generalisation?

Tim Hartill, Joshua Bensemann, Michael Witbrock, Patricia J. Riddle

CoRR, 2023

Answering Unseen Questions With Smaller Language Models Using Rationale Generation and Dense Retrieval.

Tim Hartill, Diana Benavides-Prado, Michael Witbrock, Patricia J. Riddle

CoRR, 2023

FALL: A Modular Adaptive Learning Platform for Streaming Data.

Ben Halstead, Yun Sing Koh, Patricia Riddle, Mykola Pechenizkiy, Albert Bifet

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

2022

Analyzing and repairing concept drift adaptation in data stream classification.

Ben Halstead, Yun Sing Koh, Patricia Riddle, Russel Pears, Mykola Pechenizkiy, Albert Bifet, Gustavo Olivares, Guy Coulson

Mach. Learn., 2022

Medication adherence prediction through temporal modelling in cardiovascular disease management.

William Hsu, James R. Warren, Patricia J. Riddle

BMC Medical Informatics Decis. Mak., 2022

Divide and Imitate: Multi-cluster Identification and Mitigation of Selection Bias.

Katharina Dost, Hamish Duncanson, Ioannis Ziogas, Patricia Riddle, Jörg Wicker

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022

Closing the Loop: Graph Networks to Unify Semantic Objects and Visual Features for Multi-object Scenes.

Jonathan J. Y. Kim, Martin Urschler, Patricia J. Riddle, Jörg S. Wicker

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Interpretable AMR-Based Question Decomposition for Multi-hop Question Answering.

Zhenyun Deng, Yonghua Zhu, Yang Chen, Michael Witbrock, Patricia Riddle

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

A Probabilistic Framework for Adapting to Changing and Recurring Concepts in Data Streams.

Ben Halstead, Yun Sing Koh, Patricia Riddle, Mykola Pechenizkiy, Albert Bifet

Proceedings of the 9th IEEE International Conference on Data Science and Advanced Analytics, 2022

A Theory for Knowledge Transfer in Continual Learning.

Diana Benavides Prado, Patricia Riddle

Proceedings of the Conference on Lifelong Learning Agents, 2022

Prompt-based Conservation Learning for Multi-hop Question Answering.

Zhenyun Deng, Yonghua Zhu, Yang Chen, Qianqian Qi, Michael Witbrock, Patricia Riddle

Proceedings of the 29th International Conference on Computational Linguistics, 2022

Geographic ensembles of observations using randomised ensembles of autoregression chains: ensemble methods for spatio-temporal time series forecasting of influenza-like illness.

Nooriyan Poonawala-Lohani, Patricia Riddle, Mehnaz Adnan, Jörg Wicker

Proceedings of the BCB '22: 13th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics, Northbrook, Illinois, USA, August 7, 2022

2021

A mental models approach for defining explainable artificial intelligence.

Michael Merry, Patricia J. Riddle, Jim Warren

BMC Medical Informatics Decis. Mak., 2021

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

Ben Halstead, Yun Sing Koh, Patricia Riddle, Russel Pears, Mykola Pechenizkiy, Albert Bifet

Data Min. Knowl. Discov., 2021

SymbioLCD: Ensemble-Based Loop Closure Detection using CNN-Extracted Objects and Visual Bag-of-Words.

Jonathan J. Y. Kim, Martin Urschler, Patricia J. Riddle, Jörg S. Wicker

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

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

Ben Halstead, Yun Sing Koh, Patricia Riddle, Mykola Pechenizkiy, Albert Bifet, Russel Pears

Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

2020

Towards Knowledgeable Supervised Lifelong Learning Systems.

Diana Benavides Prado, Yun Sing Koh, Patricia Riddle

J. Artif. Intell. Res., 2020

Your Best Guess When You Know Nothing: Identification and Mitigation of Selection Bias.

Katharina Dost, Katerina Taskova, Patricia Riddle, Jörg Wicker

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

A Unifying View on Individual Bounds and Heuristic Inaccuracies in Bidirectional Search.

Vidal Alcázar, Patricia J. Riddle, Mike Barley

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

A Theoretical Comparison of the Bounds of MM, NBS, and GBFHS.

Vidal Alcázar, Mike Barley, Patricia J. Riddle

Proceedings of the Twelfth International Symposium on Combinatorial Search, 2019

Selective Hypothesis Transfer for Lifelong Learning.

Diana Benavides Prado, Yun Sing Koh, Patricia Riddle

Proceedings of the International Joint Conference on Neural Networks, 2019

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

Devipriyaa Nagappan, Jim Warren, Patricia Riddle

Proceedings of the Australasian Computer Science Week Multiconference, 2019

Multivariate Sequential Analytics for Treatment Trajectory Forecasting.

William Hsu, Jim Warren, Patricia Riddle

Proceedings of the Australasian Computer Science Week Multiconference, 2019

Investigating the effect of novel classes in semi-supervised learning.

Alex Yuxuan Peng, Yun Sing Koh, Patricia Riddle, Bernhard Pfahringer

Proceedings of The 11th Asian Conference on Machine Learning, 2019

2018

GBFHS: A Generalized Breadth-First Heuristic Search Algorithm.

Michael W. Barley, Patricia J. Riddle, Carlos Linares López, Sean Dobson, Ira Pohl

Proceedings of the Eleventh International Symposium on Combinatorial Search, 2018

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

Alex Yuxuan Peng, Yun Sing Koh, Patricia Riddle, Bernhard Pfahringer

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

Predicting Air Quality from Low-Cost Sensor Measurements.

Hamish Huggard, Yun Sing Koh, Patricia Riddle, Gustavo Olivares

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.

Raquel Fuentetaja, Michael W. Barley, Daniel Borrajo, Jordan Douglas, Santiago Franco, Patricia J. Riddle

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

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

Alex Yuxuan Peng, Yun Sing Koh, Patricia Riddle

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2017

AccGenSVM: Selectively Transferring from Previous Hypotheses.

Diana Benavides Prado, Yun Sing Koh, Patricia Riddle

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

2016

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

Ralph Versteegen, Georgy L. Gimel'farb, Patricia Riddle

Comput. Vis. Image Underst., 2016

Markov-Gibbs Texture Modelling with Learnt Freeform Filters.

Ralph Versteegen, Georgy L. Gimel'farb, Patricia Riddle

Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2016

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

Kylie Chen, Yun Sing Koh, Patricia Riddle

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

2015

Automated Transformation of PDDL Representations.

Patricia J. Riddle, Michael W. Barley, Santiago Franco, Jordan Douglas

Proceedings of the Eighth Annual Symposium on Combinatorial Search, 2015

Texture modelling with non-contiguous filters.

Ralph Versteegen, Georgy L. Gimel'farb, Patricia Riddle

Proceedings of the 2015 International Conference on Image and Vision Computing New Zealand, 2015

Tracking Drift Severity in Data Streams.

Kylie Chen, Yun Sing Koh, Patricia Riddle

Proceedings of the AI 2015: Advances in Artificial Intelligence, 2015

2014

Web usage mining based recommender systems using implicit heterogeneous data: - A Particle Swarm Optimization based clustering approach.

Shafiq Alam, Gillian Dobbie, Yun Sing Koh, Patricia Riddle

Web Intell. Agent Syst., 2014

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

Shafiq Alam, Gillian Dobbie, Yun Sing Koh, Patricia Riddle, Saeed Ur Rehman

Swarm Evol. Comput., 2014

Learning High-order Generative Texture Models.

Ralph Versteegen, Georgy L. Gimel'farb, Patricia Riddle

Proceedings of the 29th International Conference on Image and Vision Computing New Zealand, 2014

Web bots detection using Particle Swarm Optimization based clustering.

Shafiq Alam, Gillian Dobbie, Yun Sing Koh, Patricia Riddle

Proceedings of the IEEE Congress on Evolutionary Computation, 2014

Profiling Cardiovascular Disease Event Risk through Clustering of Classification Association Rules.

Shen Song, Jim Warren, Patricia Riddle

Proceedings of the 2014 IEEE 27th International Symposium on Computer-Based Medical Systems, 2014

Overcoming the Utility Problem in Heuristic Generation: Why Time Matters.

Michael W. Barley, Santiago Franco, Patricia J. Riddle

Proceedings of the Twenty-Fourth International Conference on Automated Planning and Scheduling, 2014

2013

Clustering heterogeneous web usage data using Hierarchical Particle Swarm Optimization.

Shafiq Alam, Gillian Dobbie, Yun Sing Koh, Patricia Riddle

Proceedings of the 2013 IEEE Symposium on Swarm Intelligence, 2013

Analysis of Web Usage Data for Clustering Based Recommender System.

Shafiq Alam, Gillian Dobbie, Patricia Riddle, Yun Sing Koh

Proceedings of the Trends in Practical Applications of Agents and Multiagent Systems, 2013

Learning generic third-order MGRF texture models.

Ralph Versteegen, Georgy L. Gimel'farb, Patricia Riddle

Proceedings of the 28th International Conference on Image and Vision Computing New Zealand, 2013

Using Ensembles for Web Effort Estimation.

Damir Azhar, Patricia Riddle, Emilia Mendes, Nikolaos Mittas, Lefteris Angelis

Proceedings of the 2013 ACM / IEEE International Symposium on Empirical Software Engineering and Measurement, 2013

Evaluating the Seeding Genetic Algorithm.

Ben Leon Meadows, Patricia J. Riddle, Cameron Skinner, Mike Barley

Proceedings of the AI 2013: Advances in Artificial Intelligence, 2013

A New Efficient In Situ Sampling Model for Heuristic Selection in Optimal Search.

Santiago Franco, Michael W. Barley, Patricia J. Riddle

Proceedings of the AI 2013: Advances in Artificial Intelligence, 2013

2012

Solving the traveling tournament problem with iterative-deepening A∗.

David C. Uthus, Patricia J. Riddle, Hans W. Guesgen

J. Sched., 2012

A systematic review of web resource estimation.

Damir Azhar, Emilia Mendes, Patricia Riddle

Proceedings of the 8th International Conference on Predictive Models in Software Engineering, 2012

Hierarchical PSO clustering based recommender system.

Shafiq Alam, Gillian Dobbie, Patricia Riddle, Yun Sing Koh

Proceedings of the IEEE Congress on Evolutionary Computation, 2012

2011

Does Representation Matter in the Planning Competition?

Patricia J. Riddle, Robert C. Holte, Michael W. Barley

Proceedings of the Ninth Symposium on Abstraction, Reformulation, and Approximation, 2011

Towards Recommender System Using Particle Swarm Optimization Based Web Usage Clustering.

Shafiq Alam, Gillian Dobbie, Patricia Riddle

Proceedings of the New Frontiers in Applied Data Mining, 2011

2010

Semantic Space models for classification of consumer webpages on metadata attributes.

Guocai Chen, Jim Warren, Patricia Riddle

J. Biomed. Informatics, 2010

Particle Swarm Optimization Based Hierarchical Agglomerative Clustering.

Shafiq Alam, Gillian Dobbie, Patricia Riddle, M. Asif Naeem

Proceedings of the 2010 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, 2010

A swarm intelligence based clustering approach for outlier detection.

Shafiq Alam, Gillian Dobbie, Patricia Riddle, M. Asif Naeem

Proceedings of the IEEE Congress on Evolutionary Computation, 2010

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

Al Shorin, Georgy L. Gimel'farb, Patrice Delmas, Patricia Riddle

Proceedings of the Advanced Concepts for Intelligent Vision Systems, 2010

2009

An ant colony optimization approach to the traveling tournament problem.

David C. Uthus, Patricia J. Riddle, Hans W. Guesgen

Proceedings of the Genetic and Evolutionary Computation Conference, 2009

DFS* and the Traveling Tournament Problem.

David C. Uthus, Patricia J. Riddle, Hans W. Guesgen

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.

Shafiq Alam, Gillian Dobbie, Patricia Riddle

Proceedings of the Data Mining and Multi-agent Integration, 2009

2008

An Evolutionary Particle Swarm Optimization algorithm for data clustering.

Shafiq Alam, Gillian Dobbie, Patricia Riddle

Proceedings of the 2008 IEEE Swarm Intelligence Symposium, 2008

Modelling and synthesising F0 contours with the discrete cosine transform.

Jonathan Teutenberg, Catherine Inez Watson, Patricia Riddle

Proceedings of the IEEE International Conference on Acoustics, 2008

Particle Swarm Optimization Based Clustering of Web Usage Data.

Shafiq Alam, Gillian Dobbie, Patricia Riddle

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.

David C. Uthus, Patricia J. Riddle, Hans W. Guesgen

Proceedings of the Ant Colony Optimization and Swarm Intelligence, 2008

2007

Random search can outperform mutation.

Cameron Skinner, Patricia J. Riddle

Proceedings of the IEEE Congress on Evolutionary Computation, 2007

2006

Generalized Unified Decomposition of Ensemble Loss.

Remco R. Bouckaert, Michael Goebel, Patricia J. Riddle

Proceedings of the AI 2006: Advances in Artificial Intelligence, 2006

2005

Mathematics prevents bloat [genetic programming].

Cameron Skinner, Patricia J. Riddle, Chris Triggs

Proceedings of the IEEE Congress on Evolutionary Computation, 2005

2004

Expected Rates of Building Block Discovery, Retention and Combination Under 1-Point and Uniform Crossover.

Cameron Skinner, Patricia J. Riddle

Proceedings of the Parallel Problem Solving from Nature, 2004

2003

Evolving controllers for virtual creature locomotion.

Michael Sanders, Richard Lobb, Patricia Riddle

Proceedings of the 1st International Conference on Computer Graphics and Interactive Techniques in Australasia and Southeast Asia 2003, 2003

2002

A Unified Decomposition of Ensemble Loss for Predicting Ensemble Performance.

Michael Goebel, Patricia J. Riddle, Mike Barley

Proceedings of the Machine Learning, 2002

2001

Scaling Up Inductive Logic Programming: An Evolutionary Wrapper Approach.

Philip G. K. Reiser, Patricia J. Riddle

Appl. Intell., 2001

1999

Evolution of logic programs: part-of-speech tagging.

Philip G. K. Reiser, Patricia J. Riddle

Proceedings of the 1999 Congress on Evolutionary Computation, 1999

1998

Evolving Logic Programs to Classify Chess-Endgame Positions.

Philip G. K. Reiser, Patricia J. Riddle

Proceedings of the Simulated Evolution and Learning, 1998

1995

Framework for a Generic Knowledge Discovery Toolkit.

Patricia J. Riddle, Roman Fresnedo, David Newman

Proceedings of the Learning from Data, 1995

1994

Representation design and brut-force induction in a Boeing manufacturing domain.

Patricia J. Riddle, Richard B. Segal, Oren Etzioni

Appl. Artif. Intell., 1994

1989

Reformation from State Space to Reduction Space.

Patricia J. Riddle

Proceedings of the Sixth International Workshop on Machine Learning (ML 1989), 1989