Adam Prügel-Bennett

Orcid: 0000-0002-1329-5077

Affiliations:
  • University of Southampton, UK


According to our database1, Adam Prügel-Bennett authored at least 107 papers between 1993 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Multilevel Explainable Artificial Intelligence: Visual and Linguistic Bonded Explanations.
IEEE Trans. Artif. Intell., May, 2024

Rethinking Deep Thinking: Stable Learning of Algorithms using Lipschitz Constraints.
CoRR, 2024

Revisiting Cross-Domain Problem for LiDAR-based 3D Object Detection.
CoRR, 2024

Penny-Wise and Pound-Foolish in Deepfake Detection.
CoRR, 2024

Detect Closer Surfaces That Can be Seen: New Modeling and Evaluation in Cross-Domain 3D Object Detection.
Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

2023
Guiding Labelling Effort for Efficient Learning With Georeferenced Images.
IEEE Trans. Pattern Anal. Mach. Intell., 2023

Semantic Segmentation by Semantic Proportions.
CoRR, 2023

2022
GeoCLR: Georeference Contrastive Learning for Efficient Seafloor Image Interpretation.
Field Robotics, March, 2022

Generalisation and the Risk-Entropy Curve.
CoRR, 2022

Orthogonalising gradients to speed up neural network optimisation.
CoRR, 2022

Unsupervised Representation Learning via Information Compression.
Proceedings of the Pattern Recognition and Artificial Intelligence, 2022

Compositing Foreground and Background Using Variational Autoencoders.
Proceedings of the Pattern Recognition and Artificial Intelligence, 2022

On the Effects of Artificial Data Modification.
Proceedings of the International Conference on Machine Learning, 2022

2021
Leveraging Metadata in Representation Learning With Georeferenced Seafloor Imagery.
IEEE Robotics Autom. Lett., 2021

Learning features from georeferenced seafloor imagery with location guided autoencoders.
J. Field Robotics, 2021

On Data-centric Myths.
CoRR, 2021

On the Effects of Data Distortion on Model Analysis and Training.
CoRR, 2021

Language Models as Zero-shot Visual Semantic Learners.
CoRR, 2021

What Remains of Visual Semantic Embeddings.
CoRR, 2021

Object detection for crabs in top-view seabed imagery.
CoRR, 2021

RotLSTM: Rotating Memories in Recurrent Neural Networks.
CoRR, 2021

2020
Quasi-Newton's method in the class gradient defined high-curvature subspace.
CoRR, 2020

Understanding and Enhancing Mixed Sample Data Augmentation.
CoRR, 2020

Linear Disentangled Representations and Unsupervised Action Estimation.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

FSPool: Learning Set Representations with Featurewise Sort Pooling.
Proceedings of the 8th International Conference on Learning Representations, 2020

2019
Rethinking Generalisation.
CoRR, 2019

A Variational Autoencoder for Probabilistic Non-Negative Matrix Factorisation.
CoRR, 2019

Minimum description length as an objective function for non-negative matrix factorization.
CoRR, 2019

Deep Set Prediction Networks.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Learning Representations of Sets through Optimized Permutations.
Proceedings of the 7th International Conference on Learning Representations, 2019

Saliency Map on Cnns for Protein Secondary Structure Prediction.
Proceedings of the IEEE International Conference on Acoustics, 2019

2018
Learning to Count Objects in Natural Images for Visual Question Answering.
Proceedings of the 6th International Conference on Learning Representations, 2018

2017
Rank Selection in Nonnegative Matrix Factorization using Minimum Description Length.
Neural Comput., 2017

Non-Negative Matrix Factorization with Exogenous Inputs for Modeling Financial Data.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

A Method of Integrating Spatial Proteomics and Protein-Protein Interaction Network Data.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

2016
A Low Dimensional Approximation For Competence In Bacillus Subtilis.
IEEE ACM Trans. Comput. Biol. Bioinform., 2016

An Analysis of the Fitness Landscape of Travelling Salesman Problem.
Evol. Comput., 2016

Extended Formulations for Online Action Selection on Big Action Sets.
Proceedings of the Advances in Big Data, 2016

Improving the performance of evolutionary engine calibration algorithms with principal component analysis.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015
Anatomy of the fitness landscape for dense graph-colouring problem.
Swarm Evol. Comput., 2015

Novel centroid selection approaches for KMeans-clustering based recommender systems.
Inf. Sci., 2015

Quadratic assignment problem: a landscape analysis.
Evol. Intell., 2015

Renormalization group approach to 1D cellular automata with large updating neighborhoods.
Complex., 2015

Ising Bandits with Side Information.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015

Online Mean Field Approximation for Automated Experimentation.
Proceedings of the 4th Workshop on Machine Learning for Interactive Systems, 2015

Run-Time Analysis of Population-Based Evolutionary Algorithm in Noisy Environments.
Proceedings of the 2015 ACM Conference on Foundations of Genetic Algorithms XIII, Aberystwyth, United Kingdom, January 17, 2015

2014
On the Landscape of Combinatorial Optimization Problems.
IEEE Trans. Evol. Comput., 2014

Leveraging clustering approaches to solve the gray-sheep users problem in recommender systems.
Expert Syst. Appl., 2014

Constructing smart portfolios from data driven quantitative investment models.
Proceedings of the IEEE Conference on Computational Intelligence for Financial Engineering & Economics, 2014

2013
Stability for Network Flow Control against Disturbances and Time Delays.
SIAM J. Control. Optim., 2013

The Advantage of Careful Imputation Sources in Sparse Data-Environment of Recommender Systems: Generating Improved SVD-based Recommendations.
Informatica (Slovenia), 2013

Evolving Fisher Kernels for Biological Sequence Classification.
Evol. Comput., 2013

Extended Formulations for Online Linear Bandit Optimization.
CoRR, 2013

2012
Maximum Satisfiability: Anatomy of the Fitness Landscape for a Hard Combinatorial Optimization Problem.
IEEE Trans. Evol. Comput., 2012

Kernel-Mapping Recommender system algorithms.
Inf. Sci., 2012

Unsupervised Clustering Approach for Network Anomaly Detection.
Proceedings of the Networked Digital Technologies - 4th International Conference, 2012

Application of Bagging, Boosting and Stacking to Intrusion Detection.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2012

2011
Incremental Kernel Mapping Algorithms for Scalable Recommender Systems.
Proceedings of the IEEE 23rd International Conference on Tools with Artificial Intelligence, 2011

Experiments in Bayesian Recommendation.
Proceedings of the Advances in Intelligent Web Mastering - 3, 2011

2010
Learning the Large-Scale Structure of the MAX-SAT Landscape Using Populations.
IEEE Trans. Evol. Comput., 2010

Benefits of a Population: Five Mechanisms That Advantage Population-Based Algorithms.
IEEE Trans. Evol. Comput., 2010

A Scalable, Accurate Hybrid Recommender System.
Proceedings of the Third International Conference on Knowledge Discovery and Data Mining, 2010

Novel Significance Weighting Schemes for Collaborative Filtering: Generating Improved Recommendations in Sparse Environments.
Proceedings of The 2010 International Conference on Data Mining, 2010

2009
Improving Performance in Combinatorial Optimisation Using Averaging and Clustering.
Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2009

2008
Visualizing the Repeat Structure of Genomic Sequences.
Complex Syst., 2008

Complexity of Max-SAT using stochastic algorithms.
Proceedings of the Genetic and Evolutionary Computation Conference, 2008

2007
Optimal parameters for search using a barrier tree Markov model.
Theor. Comput. Sci., 2007

An evolutionary method for learning HMM structure: prediction of protein secondary structure.
BMC Bioinform., 2007

Finding critical backbone structures with genetic algorithms.
Proceedings of the Genetic and Evolutionary Computation Conference, 2007

2006
A heuristic bidding strategy for buying multiple goods in multiple english auctions.
ACM Trans. Internet Techn., 2006

Evolving the structure of hidden Markov models.
IEEE Trans. Evol. Comput., 2006

Phase transitions and symmetry breaking in genetic algorithms with crossover.
Theor. Comput. Sci., 2006

A Bayesian Framework for Extracting Human Gait Using Strong Prior Knowledge.
IEEE Trans. Pattern Anal. Mach. Intell., 2006

Model SelectionWithin a Bayesian Approach to Extraction of Walker Motion.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2006

2005
Large Barrier Trees for Studying Search.
IEEE Trans. Evol. Comput., 2005

A polynomially searchable exponential neighbourhood for graph colouring.
J. Oper. Res. Soc., 2005

A Distributed Approach to Musical Composition.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2005

State-Based sequencing: Directing the Evolution of Music.
Proceedings of the 2005 International Computer Music Conference, 2005

Evolving hidden Markov models for protein secondary structure prediction.
Proceedings of the IEEE Congress on Evolutionary Computation, 2005

Barrier-based models of hard problems and crossover.
Proceedings of the IEEE Congress on Evolutionary Computation, 2005

Optimal simulated annealing schedules for larger problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2005

2004
Symmetry breaking in population-based optimization.
IEEE Trans. Evol. Comput., 2004

When a genetic algorithm outperforms hill-climbing.
Theor. Comput. Sci., 2004

Training HMM structure with genetic algorithm for biological sequence analysis.
Bioinform., 2004

A Data Clustering and Streamline Reduction Method for 3D MR Flow Vector Field Simplification.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2004, 2004

The Block Hidden Markov Model for Biological Sequence Analysis.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2004

An adaptive bidding agent for multiple English auctions: a neuro-fuzzy approach.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2004

2003
Automatic gait recognition using area-based metric.
Pattern Recognit. Lett., 2003

Genetic Algorithm for Graph Coloring: Exploration of Galinier and Hao's Algorithm.
J. Comb. Optim., 2003

CBS: a concept-based sequencer for soundtrack composition.
Proceedings of the 3rd International Conference on WEB Delivering of Music (WEDELMUSIC 2003), 2003

Barrier Trees For Search Analysis.
Proceedings of the Genetic and Evolutionary Computation, 2003

A first order Lagrangian based variational approach for 3D flow vector field restoration.
Proceedings of the CARS 2003. Computer Assisted Radiology and Surgery. Proceedings of the 17th International Congress and Exhibition, 2003

2002
Modeling Finite Populations.
Proceedings of the Seventh Workshop on Foundations of Genetic Algorithms, 2002

2001
Modeling crossover-induced linkage in genetic algorithms.
IEEE Trans. Evol. Comput., 2001

New Area Based Metrics for Automatic Gait Recognition.
Proceedings of the British Machine Vision Conference 2001, 2001

New Area Based Metrics for Gait Recognition.
Proceedings of the Audio- and Video-Based Biometric Person Authentication, 2001

2000
Finite Population Effects for Ranking and Tournament Selection.
Complex Syst., 2000

The Mixing Rate of Different Crossover Operators.
Proceedings of the Sixth Workshop on Foundations of Genetic Algorithms, 2000

1999
Genetic drift in genetic algorithm selection schemes.
IEEE Trans. Evol. Comput., 1999

1998
Modelling the Dynamics of a Steady State Genetic Algorithm.
Proceedings of the Fifth Workshop on Foundations of Genetic Algorithms, 1998

On the Limit of Long Strings.
Proceedings of the Fifth Workshop on Foundations of Genetic Algorithms, 1998

1997
The Dynamics of a Genetic Algorithm on a Model Hard Optimization Problem.
Complex Syst., 1997

1996
Learning Synfire Chains: Turning Noise into Signal.
Int. J. Neural Syst., 1996

Genetic Algorithm Dynamics in a Two-well Potential.
Proceedings of the 4th Workshop on Foundations of Genetic Algorithms. San Diego, 1996

1995
Maximum Entropy Analysis of Genetic Algorithm Operators.
Proceedings of the Evolutionary Computing, 1995

1994
A Statistical Mechanical Formulation of the Dynamics of Genetic Algorithms.
Proceedings of the Evolutionary Computing, 1994

1993
Non-Linear Statistical Analysis and Self-Organizing Hebbian Networks.
Proceedings of the Advances in Neural Information Processing Systems 6, 1993


  Loading...