Reformation from State Space to Reduction Space. - Patricia J. Riddle (ML, 1989)

Representation design and brut-force induction in a Boeing manufacturing domain. - Patricia J. Riddle; Richard B. Segal; Oren Etzioni (Appl. Artif. Intell., 1994)

Framework for a Generic Knowledge Discovery Toolkit. - Patricia J. Riddle; Roman Fresnedo; David Newman (AISTATS, 1995)

Evolving Logic Programs to Classify Chess-Endgame Positions. - Philip G. K. Reiser; Patricia J. Riddle (SEAL, 1998)

Evolution of logic programs: part-of-speech tagging. - Philip G. K. Reiser; Patricia J. Riddle (CEC, 1999)

Scaling Up Inductive Logic Programming: An Evolutionary Wrapper Approach. - Philip G. K. Reiser; Patricia J. Riddle (Appl. Intell., 2001)

A Unified Decomposition of Ensemble Loss for Predicting Ensemble Performance. - Michael Goebel; Patricia J. Riddle; Mike Barley (ICML, 2002)

Evolving controllers for virtual creature locomotion. - Michael Sanders; Richard Lobb; Patricia Riddle (GRAPHITE, 2003)

Expected Rates of Building Block Discovery, Retention and Combination Under 1-Point and Uniform Crossover. - Cameron Skinner; Patricia J. Riddle (PPSN, 2004)

Mathematics prevents bloat [genetic programming]. - Cameron Skinner; Patricia J. Riddle; Chris Triggs (Congress on Evolutionary Computation, 2005)

Generalized Unified Decomposition of Ensemble Loss. - Remco R. Bouckaert; Michael Goebel; Patricia J. Riddle (Australian Conference on Artificial Intelligence, 2006)

Random search can outperform mutation. - Cameron Skinner; Patricia J. Riddle (IEEE Congress on Evolutionary Computation, 2007)

Ant Colony Optimization and the Single Round Robin Maximum Value Problem. - David C. Uthus; Patricia J. Riddle; Hans W. Guesgen (ANTS Conference, 2008)

Particle Swarm Optimization Based Clustering of Web Usage Data. - Shafiq Alam; Gillian Dobbie; Patricia Riddle (Web Intelligence/IAT Workshops, 2008)

Modelling and synthesising F0 contours with the discrete cosine transform. - Jonathan Teutenberg; Catherine Inez Watson; Patricia Riddle (ICASSP, 2008)

An Evolutionary Particle Swarm Optimization algorithm for data clustering. - Shafiq Alam; Gillian Dobbie; Patricia Riddle (SIS, 2008)

Exploiting Swarm Behaviour of Simple Agents for Clustering Web Users' Session Data. - Shafiq Alam; Gillian Dobbie; Patricia Riddle (Data Mining and Multi-agent Integration, 2009)

DFS* and the Traveling Tournament Problem. - David C. Uthus; Patricia J. Riddle; Hans W. Guesgen (CPAIOR, 2009)

An ant colony optimization approach to the traveling tournament problem. - David C. Uthus; Patricia J. Riddle; Hans W. Guesgen (GECCO, 2009)

Constraint Optimisation for Robust Image Matching with Inhomogeneous Photometric Variations and Affine Noise. - Al Shorin; Georgy L. Gimel'farb; Patrice Delmas; Patricia Riddle (ACIVS (1), 2010)

A swarm intelligence based clustering approach for outlier detection. - Shafiq Alam; Gillian Dobbie; Patricia Riddle; M. Asif Naeem (IEEE Congress on Evolutionary Computation, 2010)

Particle Swarm Optimization Based Hierarchical Agglomerative Clustering. - Shafiq Alam; Gillian Dobbie; Patricia Riddle; M. Asif Naeem (IAT, 2010)

Semantic Space models for classification of consumer webpages on metadata attributes. - Guocai Chen; Jim Warren 001; Patricia Riddle (J. Biomed. Informatics, 2010)

Towards Recommender System Using Particle Swarm Optimization Based Web Usage Clustering. - Shafiq Alam; Gillian Dobbie; Patricia Riddle (PAKDD Workshops, 2011)

Does Representation Matter in the Planning Competition? - Patricia J. Riddle; Robert C. Holte; Michael W. Barley (SARA, 2011)

Hierarchical PSO clustering based recommender system. - Shafiq Alam; Gillian Dobbie; Patricia Riddle; Yun Sing Koh (IEEE Congress on Evolutionary Computation, 2012)

A systematic review of web resource estimation. - Damir Azhar; Emilia Mendes; Patricia Riddle (PROMISE, 2012)

Solving the traveling tournament problem with iterative-deepening A∗. - David C. Uthus; Patricia J. Riddle; Hans W. Guesgen (J. Sched., 2012)

A New Efficient In Situ Sampling Model for Heuristic Selection in Optimal Search. - Santiago Franco; Michael W. Barley; Patricia J. Riddle (Australasian Conference on Artificial Intelligence, 2013)

Evaluating the Seeding Genetic Algorithm. - Ben Leon Meadows; Patricia J. Riddle; Cameron Skinner; Mike Barley (Australasian Conference on Artificial Intelligence, 2013)

Using Ensembles for Web Effort Estimation. - Damir Azhar; Patricia Riddle; Emilia Mendes; Nikolaos Mittas; Lefteris Angelis (ESEM, 2013)

Learning generic third-order MGRF texture models. - Ralph Versteegen; Georgy L. Gimel'farb; Patricia Riddle (IVCNZ, 2013)

Analysis of Web Usage Data for Clustering Based Recommender System. - Shafiq Alam; Gillian Dobbie; Patricia Riddle; Yun Sing Koh (PAAMS (Special Sessions), 2013)

Clustering heterogeneous web usage data using Hierarchical Particle Swarm Optimization. - Shafiq Alam; Gillian Dobbie; Yun Sing Koh; Patricia Riddle (SIS, 2013)

Overcoming the Utility Problem in Heuristic Generation: Why Time Matters. - Michael W. Barley; Santiago Franco; Patricia J. Riddle (ICAPS, 2014)

Profiling Cardiovascular Disease Event Risk through Clustering of Classification Association Rules. - Shen Song; Jim Warren 001; Patricia Riddle (CBMS, 2014)

Web bots detection using Particle Swarm Optimization based clustering. - Shafiq Alam; Gillian Dobbie; Yun Sing Koh; Patricia Riddle (IEEE Congress on Evolutionary Computation, 2014)

Learning High-order Generative Texture Models. - Ralph Versteegen; Georgy L. Gimel'farb; Patricia Riddle (IVCNZ, 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)

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)

Tracking Drift Severity in Data Streams. - Kylie Chen; Yun Sing Koh; Patricia Riddle (Australasian Conference on Artificial Intelligence, 2015)

Texture modelling with non-contiguous filters. - Ralph Versteegen; Georgy L. Gimel'farb; Patricia Riddle (IVCNZ, 2015)

Automated Transformation of PDDL Representations. - Patricia J. Riddle; Michael W. Barley; Santiago Franco; Jordan Douglas (SOCS, 2015)

Proactive drift detection: Predicting concept drifts in data streams using probabilistic networks. - Kylie Chen; Yun Sing Koh; Patricia Riddle (IJCNN, 2016)

Markov-Gibbs Texture Modelling with Learnt Freeform Filters. - Ralph Versteegen; Georgy L. Gimel'farb; Patricia Riddle (S+SSPR, 2016)

Texture modelling with nested high-order Markov-Gibbs random fields. - Ralph Versteegen; Georgy L. Gimel'farb; Patricia Riddle (Comput. Vis. Image Underst., 2016)

AccGenSVM: Selectively Transferring from Previous Hypotheses. - Diana Benavides Prado; Yun Sing Koh; Patricia Riddle (IJCAI, 2017)

mHUIMiner: A Fast High Utility Itemset Mining Algorithm for Sparse Datasets. - Alex Yuxuan Peng; Yun Sing Koh; Patricia Riddle (PAKDD (2), 2017)

Meta-Search Through the Space of Representations and Heuristics on a Problem by Problem Basis. - Raquel Fuentetaja 001; Michael W. Barley; Daniel Borrajo; Jordan Douglas; Santiago Franco; Patricia J. Riddle (AAAI, 2018)

Predicting Air Quality from Low-Cost Sensor Measurements. - Hamish Huggard; Yun Sing Koh; Patricia Riddle; Gustavo Olivares (AusDM, 2018)

Using Supervised Pretraining to Improve Generalization of Neural Networks on Binary Classification Problems. - Alex Yuxuan Peng; Yun Sing Koh; Patricia Riddle; Bernhard Pfahringer (ECML/PKDD (1), 2018)

GBFHS: A Generalized Breadth-First Heuristic Search Algorithm. - Michael W. Barley; Patricia J. Riddle; Carlos Linares López; Sean Dobson; Ira Pohl (SOCS, 2018)

Investigating the effect of novel classes in semi-supervised learning. - Alex Yuxuan Peng; Yun Sing Koh; Patricia Riddle; Bernhard Pfahringer (ACML, 2019)

Multivariate Sequential Analytics for Treatment Trajectory Forecasting. - William Hsu; Jim Warren 001; Patricia Riddle (ACSW, 2019)

Health Consumer Usage Patterns in Management of CVD using Data Mining Techniques. - Devipriyaa Nagappan; Jim Warren 001; Patricia Riddle (ACSW, 2019)

Selective Hypothesis Transfer for Lifelong Learning. - Diana Benavides Prado; Yun Sing Koh; Patricia Riddle (IJCNN, 2019)

A Theoretical Comparison of the Bounds of MM, NBS, and GBFHS. - Vidal Alcázar; Mike Barley; Patricia J. Riddle (SOCS, 2019)

A Unifying View on Individual Bounds and Heuristic Inaccuracies in Bidirectional Search. - Vidal Alcázar; Patricia J. Riddle; Mike Barley (AAAI, 2020)

Your Best Guess When You Know Nothing: Identification and Mitigation of Selection Bias. - Katharina Dost; Katerina Taskova; Patricia Riddle; Jörg Wicker (ICDM, 2020)

Towards Knowledgeable Supervised Lifelong Learning Systems. - Diana Benavides Prado; Yun Sing Koh; Patricia Riddle (J. Artif. Intell. Res., 2020)

Fingerprinting Concepts in Data Streams with Supervised and Unsupervised Meta-Information. - Ben Halstead; Yun Sing Koh; Patricia Riddle; Mykola Pechenizkiy; Albert Bifet; Russel Pears (ICDE, 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 (IROS, 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)

A mental models approach for defining explainable artificial intelligence. - Michael Merry; Patricia J. Riddle; Jim Warren 001 (BMC Medical Informatics Decis. Mak., 2021)

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 (BCB, 2022)

Prompt-based Conservation Learning for Multi-hop Question Answering. - Zhenyun Deng; Yonghua Zhu; Yang Chen 028; Qianqian Qi 001; Michael Witbrock; Patricia Riddle (COLING, 2022)

A Theory for Knowledge Transfer in Continual Learning. - Diana Benavides Prado; Patricia Riddle (CoLLAs, 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 (DSAA, 2022)

Interpretable AMR-Based Question Decomposition for Multi-hop Question Answering. - Zhenyun Deng; Yonghua Zhu; Yang Chen 028; Michael Witbrock; Patricia Riddle (IJCAI, 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 (IROS, 2022)

Divide and Imitate: Multi-cluster Identification and Mitigation of Selection Bias. - Katharina Dost; Hamish Duncanson; Ioannis Ziogas; Patricia Riddle; Jörg Wicker (PAKDD (2), 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)

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)

FALL: A Modular Adaptive Learning Platform for Streaming Data. - Ben Halstead; Yun Sing Koh; Patricia Riddle; Mykola Pechenizkiy; Albert Bifet (ICDE, 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)

Do Smaller Language Models Answer Contextualised Questions Through Memorisation Or Generalisation? - Tim Hartill; Joshua Bensemann; Michael Witbrock; Patricia J. Riddle (CoRR, 2023)

DAMR: Dynamic Adjacency Matrix Representation Learning for Multivariate Time Series Imputation. - Xiaobin Ren; Kaiqi Zhao 001; Patricia J. Riddle; Katerina Taskova; Qingyi Pan; Lianyan Li (Proc. ACM Manag. Data, 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)

Teaching Smaller Language Models To Generalise To Unseen Compositional Questions. - Tim Hartill; Neset Tan; Michael Witbrock; Patricia J. Riddle (Trans. Mach. Learn. Res., 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, 2023)

Periormer: Periodic Transformer for Seasonal and Irregularly Sampled Time Series. - Xiaobin Ren; Kaiqi Zhao 001; Katerina Taskova; Patricia Riddle; Lianyan Li (CIKM, 2024)

Attacking the Loop: Adversarial Attacks on Graph-Based Loop Closure Detection. - Jonathan J. Y. Kim; Martin Urschler; Patricia J. Riddle; Jörg S. Wicker (VISIGRAPP (4): VISAPP, 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; et al. (BMC Medical Informatics Decis. Mak., 2024)

PropNEAT - Efficient GPU-Compatible Backpropagation over NeuroEvolutionary Augmenting Topology Networks. - Michael Merry; Patricia Riddle; James R. Warren (GECCO, 2025)

Large Language Models as Common-Sense Heuristics. - Andrey Borro; Patricia J. Riddle; Michael W. Barley; Michael J. Witbrock (CoRR, 2025)

Bridging the Reasoning Gap: Small LLMs Can Plan with Generalised Strategies. - Andrey Borro; Patricia J. Riddle; Michael W. Barley; Michael J. Witbrock (CoRR, 2025)