Non-Linear Statistical Analysis and Self-Organizing Hebbian Networks. - Jonathan L. Shapiro; Adam Prügel-Bennett (NIPS, 1993)

A Statistical Mechanical Formulation of the Dynamics of Genetic Algorithms. - Jonathan Shapiro; Adam Prügel-Bennett; Magnus Rattray (Evolutionary Computing, AISB Workshop, 1994)

Maximum Entropy Analysis of Genetic Algorithm Operators. - Jonathan L. Shapiro; Adam Prügel-Bennett (Evolutionary Computing, AISB Workshop, 1995)

Genetic Algorithm Dynamics in a Two-well Potential. - Jonathan Shapiro; Adam Prügel-Bennett (FOGA, 1996)

Learning Synfire Chains: Turning Noise into Signal. - John Hertz; Adam Prügel-Bennett (Int. J. Neural Syst., 1996)

The Dynamics of a Genetic Algorithm on a Model Hard Optimization Problem. - Alex Rogers; Adam Prügel-Bennett (Complex Syst., 1997)

On the Limit of Long Strings. - Adam Prügel-Bennett (FOGA, 1998)

Modelling the Dynamics of a Steady State Genetic Algorithm. - Alex Rogers; Adam Prügel-Bennett (FOGA, 1998)

Genetic drift in genetic algorithm selection schemes. - Alex Rogers; Adam Prügel-Bennett (IEEE Trans. Evol. Comput., 1999)

The Mixing Rate of Different Crossover Operators. - Adam Prügel-Bennett (FOGA, 2000)

Finite Population Effects for Ranking and Tournament Selection. - Adam Prügel-Bennett (Complex Syst., 2000)

New Area Based Metrics for Gait Recognition. - Jeff P. Foster; Mark S. Nixon; Adam Prügel-Bennett (AVBPA, 2001)

New Area Based Metrics for Automatic Gait Recognition. - Jeff P. Foster; Mark S. Nixon; Adam Prügel-Bennett (BMVC, 2001)

Modeling crossover-induced linkage in genetic algorithms. - Adam Prügel-Bennett (IEEE Trans. Evol. Comput., 2001)

Modeling Finite Populations. - Adam Prügel-Bennett (FOGA, 2002)

A first order Lagrangian based variational approach for 3D flow vector field restoration. - Yin-Heung Pauline Ng; Bernardo Silva Carmo; Adam Prügel-Bennett; Guang-Zhong Yang (CARS, 2003)

Barrier Trees For Search Analysis. - Jonathan Hallam; Adam Prügel-Bennett (GECCO, 2003)

CBS: a concept-based sequencer for soundtrack composition. - Michael O. Jewell; Mark S. Nixon; Adam Prügel-Bennett (WEDELMUSIC, 2003)

Genetic Algorithm for Graph Coloring: Exploration of Galinier and Hao's Algorithm. - Celia A. Glass; Adam Prügel-Bennett (J. Comb. Optim., 2003)

Automatic gait recognition using area-based metric. - Jeff P. Foster; Mark S. Nixon; Adam Prügel-Bennett (Pattern Recognit. Lett., 2003)

An adaptive bidding agent for multiple English auctions: a neuro-fuzzy approach. - Minghua He; Nicholas R. Jennings; Adam Prügel-Bennett (FUZZ-IEEE, 2004)

The Block Hidden Markov Model for Biological Sequence Analysis. - Kyoung-Jae Won; Adam Prügel-Bennett; Anders Krogh (KES, 2004)

A Data Clustering and Streamline Reduction Method for 3D MR Flow Vector Field Simplification. - Bernardo Silva Carmo; Yin-Heung Pauline Ng; Adam Prügel-Bennett; Guang-Zhong Yang (MICCAI (1), 2004)

Training HMM structure with genetic algorithm for biological sequence analysis. - Kyoung-Jae Won; Adam Prügel-Bennett; Anders Krogh (Bioinform., 2004)

When a genetic algorithm outperforms hill-climbing. - Adam Prügel-Bennett (Theor. Comput. Sci., 2004)

Symmetry breaking in population-based optimization. - Adam Prügel-Bennett (IEEE Trans. Evol. Comput., 2004)

Optimal simulated annealing schedules for larger problems. - William Benfold; Jonathan Hallam; Adam Prügel-Bennett (Congress on Evolutionary Computation, 2005)

Barrier-based models of hard problems and crossover. - Jonathan Hallam; Adam Prügel-Bennett (Congress on Evolutionary Computation, 2005)

Evolving hidden Markov models for protein secondary structure prediction. - Kyoung-Jae Won; Thomas Hamelryck; Adam Prügel-Bennett; Anders Krogh (Congress on Evolutionary Computation, 2005)

State-Based sequencing: Directing the Evolution of Music. - Michael O. Jewell; Mark S. Nixon; Adam Prügel-Bennett (ICMC, 2005)

A Distributed Approach to Musical Composition. - Michael O. Jewell; Lee Middleton; Mark S. Nixon; Adam Prügel-Bennett; Sylvia C. Wong (KES (3), 2005)

A polynomially searchable exponential neighbourhood for graph colouring. - Celia A. Glass; Adam Prügel-Bennett (J. Oper. Res. Soc., 2005)

Large Barrier Trees for Studying Search. - Jonathan Hallam; Adam Prügel-Bennett (IEEE Trans. Evol. Comput., 2005)

Model SelectionWithin a Bayesian Approach to Extraction of Walker Motion. - Ziheng Zhou; Robert I. Damper; Adam Prügel-Bennett (CVPR Workshops, 2006)

A Bayesian Framework for Extracting Human Gait Using Strong Prior Knowledge. - Ziheng Zhou; Adam Prügel-Bennett; Robert I. Damper (IEEE Trans. Pattern Anal. Mach. Intell., 2006)

Phase transitions and symmetry breaking in genetic algorithms with crossover. - Alex Rogers; Adam Prügel-Bennett; Nicholas R. Jennings (Theor. Comput. Sci., 2006)

Evolving the structure of hidden Markov models. - Kyoung-Jae Won; Adam Prügel-Bennett; Anders Krogh (IEEE Trans. Evol. Comput., 2006)

A heuristic bidding strategy for buying multiple goods in multiple english auctions. - Minghua He; Nicholas R. Jennings; Adam Prügel-Bennett (ACM Trans. Internet Techn., 2006)

Finding critical backbone structures with genetic algorithms. - Adam Prügel-Bennett (GECCO, 2007)

An evolutionary method for learning HMM structure: prediction of protein secondary structure. - Kyoung-Jae Won; Thomas Hamelryck; Adam Prügel-Bennett; Anders Krogh (BMC Bioinform., 2007)

Optimal parameters for search using a barrier tree Markov model. - William Benfold; Jonathan Hallam; Adam Prügel-Bennett (Theor. Comput. Sci., 2007)

Complexity of Max-SAT using stochastic algorithms. - Mohamed Qasem; Adam Prügel-Bennett (GECCO, 2008)

Visualizing the Repeat Structure of Genomic Sequences. - Nava Whiteford; Niall J. Haslam; Gerald Weber; Adam Prügel-Bennett; Jonathan W. Essex; Cameron Neylon (Complex Syst., 2008)

Improving Performance in Combinatorial Optimisation Using Averaging and Clustering. - Mohamed Qasem; Adam Prügel-Bennett (EvoCOP, 2009)

Novel Significance Weighting Schemes for Collaborative Filtering: Generating Improved Recommendations in Sparse Environments. - Mustansar Ali Ghazanfar; Adam Prügel-Bennett (DMIN, 2010)

A Scalable, Accurate Hybrid Recommender System. - Mustansar Ali Ghazanfar; Adam Prügel-Bennett (WKDD, 2010)

Benefits of a Population: Five Mechanisms That Advantage Population-Based Algorithms. - Adam Prügel-Bennett (IEEE Trans. Evol. Comput., 2010)

Learning the Large-Scale Structure of the MAX-SAT Landscape Using Populations. - Mohamed Qasem; Adam Prügel-Bennett (IEEE Trans. Evol. Comput., 2010)

Experiments in Bayesian Recommendation. - Thomas Charles Barnard; Adam Prügel-Bennett (AWIC, 2011)

Incremental Kernel Mapping Algorithms for Scalable Recommender Systems. - Mustansar Ali Ghazanfar; Sándor Szedmák; Adam Prügel-Bennett (ICTAI, 2011)

Application of Bagging, Boosting and Stacking to Intrusion Detection. - Iwan Syarif; Ed Zaluska; Adam Prügel-Bennett; Gary B. Wills (MLDM, 2012)

Unsupervised Clustering Approach for Network Anomaly Detection. - Iwan Syarif; Adam Prügel-Bennett; Gary B. Wills (NDT (1), 2012)

Kernel-Mapping Recommender system algorithms. - Mustansar Ali Ghazanfar; Adam Prügel-Bennett; Sándor Szedmák (Inf. Sci., 2012)

Maximum Satisfiability: Anatomy of the Fitness Landscape for a Hard Combinatorial Optimization Problem. - Adam Prügel-Bennett; Mohammad-Hassan Tayarani-Najaran (IEEE Trans. Evol. Comput., 2012)

Extended Formulations for Online Linear Bandit Optimization. - Shaona Ghosh; Adam Prügel-Bennett (CoRR, 2013)

Evolving Fisher Kernels for Biological Sequence Classification. - Kyoung-Jae Won; Craig Saunders; Adam Prügel-Bennett (Evol. Comput., 2013)

The Advantage of Careful Imputation Sources in Sparse Data-Environment of Recommender Systems: Generating Improved SVD-based Recommendations. - Mustansar Ali Ghazanfar; Adam Prügel-Bennett (Informatica (Slovenia), 2013)

Stability for Network Flow Control against Disturbances and Time Delays. - Wenming Bian; Mark French; Adam Prügel-Bennett (SIAM J. Control. Optim., 2013)

Constructing smart portfolios from data driven quantitative investment models. - Chetan Saran Mehra; Adam Prügel-Bennett; Enrico H. Gerding; Valentin Robu (CIFEr, 2014)

Leveraging clustering approaches to solve the gray-sheep users problem in recommender systems. - Mustansar Ali Ghazanfar; Adam Prügel-Bennett (Expert Syst. Appl., 2014)

On the Landscape of Combinatorial Optimization Problems. - Mohammad-Hassan Tayarani-Najaran; Adam Prügel-Bennett (IEEE Trans. Evol. Comput., 2014)

Run-Time Analysis of Population-Based Evolutionary Algorithm in Noisy Environments. - Adam Prügel-Bennett; Jonathan E. Rowe; Jonathan Shapiro (FOGA, 2015)

Online Mean Field Approximation for Automated Experimentation. - Shaona Ghosh; Adam Prügel-Bennett (MLIS@ICML, 2015)

Ising Bandits with Side Information. - Shaona Ghosh; Adam Prügel-Bennett (ECML/PKDD (1), 2015)

Renormalization group approach to 1D cellular automata with large updating neighborhoods. - Iain S. Weaver; Adam Prügel-Bennett (Complex., 2015)

Quadratic assignment problem: a landscape analysis. - Mohammad-H. Tayarani-N.; Adam Prügel-Bennett (Evol. Intell., 2015)

Novel centroid selection approaches for KMeans-clustering based recommender systems. - Sobia Zahra; Mustansar Ali Ghazanfar; Asra Khalid; Muhammad Awais Azam; Usman Naeem; Adam Prügel-Bennett (Inf. Sci., 2015)

Anatomy of the fitness landscape for dense graph-colouring problem. - Mohammad-Hassan Tayarani-Najaran; Adam Prügel-Bennett (Swarm Evol. Comput., 2015)

Improving the performance of evolutionary engine calibration algorithms with principal component analysis. - Mohammad-H. Tayarani-N.; Adam Prügel-Bennett; Hongming Xu 001; Xin Yao 001 (CEC, 2016)

Extended Formulations for Online Action Selection on Big Action Sets. - Shaona Ghosh; Adam Prügel-Bennett (INNS Conference on Big Data, 2016)

An Analysis of the Fitness Landscape of Travelling Salesman Problem. - Mohammad-H. Tayarani-N.; Adam Prügel-Bennett (Evol. Comput., 2016)

A Low Dimensional Approximation For Competence In Bacillus Subtilis. - An Nguyen 003; Adam Prügel-Bennett; Srinandan Dasmahapatra (IEEE ACM Trans. Comput. Biol. Bioinform., 2016)

A Method of Integrating Spatial Proteomics and Protein-Protein Interaction Network Data. - Steven Squires; Rob M. Ewing; Adam Prügel-Bennett; Mahesan Niranjan (ICONIP (5), 2017)

Non-Negative Matrix Factorization with Exogenous Inputs for Modeling Financial Data. - Steven Squires; Luis Montesdeoca; Adam Prügel-Bennett; Mahesan Niranjan (ICONIP (2), 2017)

Rank Selection in Nonnegative Matrix Factorization using Minimum Description Length. - Steven Squires; Adam Prügel-Bennett; Mahesan Niranjan (Neural Comput., 2017)

Learning to Count Objects in Natural Images for Visual Question Answering. - Yan Zhang 067; Jonathon S. Hare; Adam Prügel-Bennett (ICLR (Poster), 2018)

Saliency Map on Cnns for Protein Secondary Structure Prediction. - Guillermo Romero Moreno; Mahesan Niranjan; Adam Prügel-Bennett (ICASSP, 2019)

Learning Representations of Sets through Optimized Permutations. - Yan Zhang 067; Jonathon S. Hare; Adam Prügel-Bennett (ICLR (Poster), 2019)

Deep Set Prediction Networks. - Yan Zhang 067; Jonathon S. Hare; Adam Prügel-Bennett (NeurIPS, 2019)

Minimum description length as an objective function for non-negative matrix factorization. - Steven Squires; Adam Prügel-Bennett; Mahesan Niranjan (CoRR, 2019)

A Variational Autoencoder for Probabilistic Non-Negative Matrix Factorisation. - Steven Squires; Adam Prügel-Bennett; Mahesan Niranjan (CoRR, 2019)

Rethinking Generalisation. - Antonia Marcu; Adam Prügel-Bennett (CoRR, 2019)

FSPool: Learning Set Representations with Featurewise Sort Pooling. - Yan Zhang 067; Jonathon S. Hare; Adam Prügel-Bennett (ICLR, 2020)

Linear Disentangled Representations and Unsupervised Action Estimation. - Matthew Painter; Adam Prügel-Bennett; Jonathon S. Hare (NeurIPS, 2020)

Understanding and Enhancing Mixed Sample Data Augmentation. - Ethan Harris; Antonia Marcu; Matthew Painter; Mahesan Niranjan; Adam Prügel-Bennett; Jonathon S. Hare (CoRR, 2020)

Quasi-Newton's method in the class gradient defined high-curvature subspace. - Mark Tuddenham; Adam Prügel-Bennett; Jonathan Hare (CoRR, 2020)

RotLSTM: Rotating Memories in Recurrent Neural Networks. - Vlad Velici; Adam Prügel-Bennett (CoRR, 2021)

Object detection for crabs in top-view seabed imagery. - Vlad Velici; Adam Prügel-Bennett (CoRR, 2021)

What Remains of Visual Semantic Embeddings. - Yue Jiao; Jonathon S. Hare; Adam Prügel-Bennett (CoRR, 2021)

Language Models as Zero-shot Visual Semantic Learners. - Yue Jiao; Jonathon Hare; Adam Prügel-Bennett (CoRR, 2021)

On the Effects of Data Distortion on Model Analysis and Training. - Antonia Marcu; Adam Prügel-Bennett (CoRR, 2021)

On Data-centric Myths. - Antonia Marcu; Adam Prügel-Bennett (CoRR, 2021)

Learning features from georeferenced seafloor imagery with location guided autoencoders. - Takaki Yamada; Adam Prügel-Bennett; Blair Thornton (J. Field Robotics, 2021)

Leveraging Metadata in Representation Learning With Georeferenced Seafloor Imagery. - Takaki Yamada; Miquel Massot-Campos; Adam Prügel-Bennett; Stefan B. Williams; Oscar Pizarro; Blair Thornton (IEEE Robotics Autom. Lett., 2021)

On the Effects of Artificial Data Modification. - Antonia Marcu; Adam Prügel-Bennett (ICML, 2022)

Compositing Foreground and Background Using Variational Autoencoders. - Zezhen Zeng; Jonathon S. Hare; Adam Prügel-Bennett (ICPRAI (1), 2022)

Unsupervised Representation Learning via Information Compression. - Zezhen Zeng; Jonathon S. Hare; Adam Prügel-Bennett (ICPRAI (1), 2022)

Orthogonalising gradients to speed up neural network optimisation. - Mark Tuddenham; Adam Prügel-Bennett; Jonathan Hare (CoRR, 2022)

Generalisation and the Risk-Entropy Curve. - Dominic Belcher; Antonia Marcu; Adam Prügel-Bennett (CoRR, 2022)

GeoCLR: Georeference Contrastive Learning for Efficient Seafloor Image Interpretation. - Takaki Yamada; Adam Prügel-Bennett; Stefan B. Williams; Oscar Pizarro; Blair Thornton (Field Robotics, 2022)

Semantic Segmentation by Semantic Proportions. - Halil Ibrahim Aysel; Xiaohao Cai; Adam Prügel-Bennett (CoRR, 2023)

Guiding Labelling Effort for Efficient Learning With Georeferenced Images. - Takaki Yamada; Miquel Massot-Campos; Adam Prügel-Bennett; Oscar Pizarro; Stefan B. Williams; Blair Thornton (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Detect Closer Surfaces That Can be Seen: New Modeling and Evaluation in Cross-Domain 3D Object Detection. - Ruixiao Zhang; Yihong Wu 004; Juheon Lee; Xiaohao Cai; Adam Prügel-Bennett (ECAI, 2024)

Rethinking Deep Thinking: Stable Learning of Algorithms using Lipschitz Constraints. - Jay Bear; Adam Prügel-Bennett; Jonathon Hare (NeurIPS, 2024)

Penny-Wise and Pound-Foolish in Deepfake Detection. - Yabin Wang; Zhiwu Huang; Zhou Su; Adam Prügel-Bennett; Xiaopeng Hong (CoRR, 2024)

Revisiting Cross-Domain Problem for LiDAR-based 3D Object Detection. - Ruixiao Zhang; Juheon Lee; Xiaohao Cai; Adam Prügel-Bennett (CoRR, 2024)

Rethinking Deep Thinking: Stable Learning of Algorithms using Lipschitz Constraints. - Jay Bear; Adam Prügel-Bennett; Jonathon S. Hare (CoRR, 2024)

Multilevel Explainable Artificial Intelligence: Visual and Linguistic Bonded Explanations. - Halil Ibrahim Aysel; Xiaohao Cai; Adam Prügel-Bennett (IEEE Trans. Artif. Intell., 2024)

Concept-Based Explainable Artificial Intelligence: Metrics and Benchmarks. - Halil Ibrahim Aysel; Xiaohao Cai; Adam Prügel-Bennett (CoRR, 2025)

CornerPoint3D: Look at the Nearest Corner Instead of the Center. - Ruixiao Zhang; Runwei Guan; Xiangyu Chen; Adam Prügel-Bennett; Xiaohao Cai (CoRR, 2025)