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Adam Prügel-Bennett
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- affiliation: University of Southampton, UK
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2020 – today
- 2024
- [j40]Halil Ibrahim Aysel
, Xiaohao Cai
Multilevel Explainable Artificial Intelligence: Visual and Linguistic Bonded Explanations. IEEE Trans. Artif. Intell. 5(5): 2055-2066 (2024) - [c49]Ruixiao Zhang, Yihong Wu, Juheon Lee, Xiaohao Cai, Adam Prügel-Bennett:
Detect Closer Surfaces That Can be Seen: New Modeling and Evaluation in Cross-Domain 3D Object Detection. ECAI 2024: 65-72 - [i24]Ruixiao Zhang, Yihong Wu, Juheon Lee, Adam Prügel-Bennett, Xiaohao Cai:
Detect Closer Surfaces that can be Seen: New Modeling and Evaluation in Cross-domain 3D Object Detection. CoRR abs/2407.04061 (2024) - [i23]Yabin Wang, Zhiwu Huang, Zhou Su, Adam Prügel-Bennett, Xiaopeng Hong:
Penny-Wise and Pound-Foolish in Deepfake Detection. CoRR abs/2408.08412 (2024) - [i22]Ruixiao Zhang, Juheon Lee, Xiaohao Cai, Adam Prügel-Bennett:
Revisiting Cross-Domain Problem for LiDAR-based 3D Object Detection. CoRR abs/2408.12708 (2024) - 2023
- [j39]Takaki Yamada
Guiding Labelling Effort for Efficient Learning With Georeferenced Images. IEEE Trans. Pattern Anal. Mach. Intell. 45(1): 593-607 (2023) - [i21]Halil Ibrahim Aysel, Xiaohao Cai, Adam Prügel-Bennett:
Semantic Segmentation by Semantic Proportions. CoRR abs/2305.15608 (2023) - 2022
- [j38]Takaki Yamada
GeoCLR: Georeference Contrastive Learning for Efficient Seafloor Image Interpretation. Field Robotics 2(1): 1134-1155 (2022) - [c48]Antonia Marcu, Adam Prügel-Bennett:
On the Effects of Artificial Data Modification. ICML 2022: 15050-15069 - [c47]Zezhen Zeng, Jonathon S. Hare, Adam Prügel-Bennett:
Compositing Foreground and Background Using Variational Autoencoders. ICPRAI (1) 2022: 553-566 - [c46]Zezhen Zeng, Jonathon S. Hare, Adam Prügel-Bennett:
Unsupervised Representation Learning via Information Compression. ICPRAI (1) 2022: 567-578 - [i20]Mark Tuddenham, Adam Prügel-Bennett, Jonathan Hare:
Orthogonalising gradients to speed up neural network optimisation. CoRR abs/2202.07052 (2022) - [i19]Dominic Belcher, Antonia Marcu, Adam Prügel-Bennett:
Generalisation and the Risk-Entropy Curve. CoRR abs/2202.07350 (2022) - 2021
- [j37]Takaki Yamada
Learning features from georeferenced seafloor imagery with location guided autoencoders. J. Field Robotics 38(1): 52-67 (2021) - [j36]Takaki Yamada
Leveraging Metadata in Representation Learning With Georeferenced Seafloor Imagery. IEEE Robotics Autom. Lett. 6(4): 7815-7822 (2021) - [i18]Vlad Velici, Adam Prügel-Bennett:
RotLSTM: Rotating Memories in Recurrent Neural Networks. CoRR abs/2105.00357 (2021) - [i17]Vlad Velici, Adam Prügel-Bennett:
Object detection for crabs in top-view seabed imagery. CoRR abs/2105.02964 (2021) - [i16]Yue Jiao, Jonathon S. Hare, Adam Prügel-Bennett:
What Remains of Visual Semantic Embeddings. CoRR abs/2107.11991 (2021) - [i15]Yue Jiao, Jonathon Hare, Adam Prügel-Bennett:
Language Models as Zero-shot Visual Semantic Learners. CoRR abs/2107.12021 (2021) - [i14]Takaki Yamada, Adam Prügel-Bennett, Stefan B. Williams, Oscar Pizarro, Blair Thornton:
GeoCLR: Georeference Contrastive Learning for Efficient Seafloor Image Interpretation. CoRR abs/2108.06421 (2021) - [i13]Antonia Marcu, Adam Prügel-Bennett:
On the Effects of Data Distortion on Model Analysis and Training. CoRR abs/2110.13968 (2021) - [i12]Antonia Marcu, Adam Prügel-Bennett:
On Data-centric Myths. CoRR abs/2111.11514 (2021) - 2020
- [c45]Yan Zhang, Jonathon S. Hare, Adam Prügel-Bennett:
FSPool: Learning Set Representations with Featurewise Sort Pooling. ICLR 2020 - [c44]Matthew Painter, Adam Prügel-Bennett, Jonathon S. Hare:
Linear Disentangled Representations and Unsupervised Action Estimation. NeurIPS 2020 - [i11]Ethan Harris
Understanding and Enhancing Mixed Sample Data Augmentation. CoRR abs/2002.12047 (2020) - [i10]Matthew Painter, Jonathon S. Hare, Adam Prügel-Bennett:
Linear Disentangled Representations and Unsupervised Action Estimation. CoRR abs/2008.07922 (2020) - [i9]Mark Tuddenham, Adam Prügel-Bennett, Jonathan Hare:
Quasi-Newton's method in the class gradient defined high-curvature subspace. CoRR abs/2012.01938 (2020)
2010 – 2019
- 2019
- [c43]Guillermo Romero Moreno
Saliency Map on Cnns for Protein Secondary Structure Prediction. ICASSP 2019: 1249-1253 - [c42]Yan Zhang, Jonathon S. Hare, Adam Prügel-Bennett:
Learning Representations of Sets through Optimized Permutations. ICLR (Poster) 2019 - [c41]Yan Zhang, Jonathon S. Hare, Adam Prügel-Bennett:
Deep Set Prediction Networks. NeurIPS 2019: 3207-3217 - [i8]Steven Squires, Adam Prügel-Bennett, Mahesan Niranjan:
Minimum description length as an objective function for non-negative matrix factorization. CoRR abs/1902.01632 (2019) - [i7]Yan Zhang, Jonathon S. Hare, Adam Prügel-Bennett:
FSPool: Learning Set Representations with Featurewise Sort Pooling. CoRR abs/1906.02795 (2019) - [i6]Steven Squires, Adam Prügel-Bennett, Mahesan Niranjan:
A Variational Autoencoder for Probabilistic Non-Negative Matrix Factorisation. CoRR abs/1906.05912 (2019) - [i5]Yan Zhang, Jonathon S. Hare, Adam Prügel-Bennett:
Deep Set Prediction Networks. CoRR abs/1906.06565 (2019) - [i4]Antonia Marcu, Adam Prügel-Bennett:
Rethinking Generalisation. CoRR abs/1911.04301 (2019) - 2018
- [c40]Yan Zhang, Jonathon S. Hare, Adam Prügel-Bennett:
Learning to Count Objects in Natural Images for Visual Question Answering. ICLR (Poster) 2018 - [i3]Yan Zhang
Learning to Count Objects in Natural Images for Visual Question Answering. CoRR abs/1802.05766 (2018) - [i2]Yan Zhang, Jonathon S. Hare, Adam Prügel-Bennett:
Learning Representations of Sets through Optimized Permutations. CoRR abs/1812.03928 (2018) - 2017
- [j35]Steven Squires
Rank Selection in Nonnegative Matrix Factorization using Minimum Description Length. Neural Comput. 29(8): 2164-2176 (2017) - [c39]Steven Squires
A Method of Integrating Spatial Proteomics and Protein-Protein Interaction Network Data. ICONIP (5) 2017: 782-790 - [c38]Steven Squires
Non-Negative Matrix Factorization with Exogenous Inputs for Modeling Financial Data. ICONIP (2) 2017: 873-881 - 2016
- [j34]Mohammad-H. Tayarani-N., Adam Prügel-Bennett:
An Analysis of the Fitness Landscape of Travelling Salesman Problem. Evol. Comput. 24(2): 347-384 (2016) - [j33]An Nguyen, Adam Prügel-Bennett, Srinandan Dasmahapatra
A Low Dimensional Approximation For Competence In Bacillus Subtilis. IEEE ACM Trans. Comput. Biol. Bioinform. 13(2): 272-280 (2016) - [c37]Mohammad-H. Tayarani-N., Adam Prügel-Bennett, Hongming Xu
Improving the performance of evolutionary engine calibration algorithms with principal component analysis. CEC 2016: 5128-5137 - [c36]Shaona Ghosh
Extended Formulations for Online Action Selection on Big Action Sets. INNS Conference on Big Data 2016: 160-168 - 2015
- [j32]Iain S. Weaver, Adam Prügel-Bennett:
Renormalization group approach to 1D cellular automata with large updating neighborhoods. Complex. 21(1): 206-213 (2015) - [j31]Mohammad-H. Tayarani-N., Adam Prügel-Bennett:
Quadratic assignment problem: a landscape analysis. Evol. Intell. 8(4): 165-184 (2015) - [j30]Sobia Zahra, Mustansar Ali Ghazanfar, Asra Khalid
Novel centroid selection approaches for KMeans-clustering based recommender systems. Inf. Sci. 320: 156-189 (2015) - [j29]Mohammad-Hassan Tayarani-Najaran, Adam Prügel-Bennett:
Anatomy of the fitness landscape for dense graph-colouring problem. Swarm Evol. Comput. 22: 47-65 (2015) - [c35]Adam Prügel-Bennett, Jonathan E. Rowe, Jonathan Shapiro:
Run-Time Analysis of Population-Based Evolutionary Algorithm in Noisy Environments. FOGA 2015: 69-75 - [c34]Shaona Ghosh, Adam Prügel-Bennett:
Online Mean Field Approximation for Automated Experimentation. MLIS@ICML 2015: 31-35 - [c33]Shaona Ghosh
Ising Bandits with Side Information. ECML/PKDD (1) 2015: 448-463 - 2014
- [j28]Mustansar Ali Ghazanfar, Adam Prügel-Bennett:
Leveraging clustering approaches to solve the gray-sheep users problem in recommender systems. Expert Syst. Appl. 41(7): 3261-3275 (2014) - [j27]Mohammad-Hassan Tayarani-Najaran, Adam Prügel-Bennett:
On the Landscape of Combinatorial Optimization Problems. IEEE Trans. Evol. Comput. 18(3): 420-434 (2014) - [c32]Chetan Saran Mehra, Adam Prügel-Bennett, Enrico H. Gerding
Constructing smart portfolios from data driven quantitative investment models. CIFEr 2014: 166-173 - 2013
- [j26]Kyoung-Jae Won
Evolving Fisher Kernels for Biological Sequence Classification. Evol. Comput. 21(1): 83-105 (2013) - [j25]Mustansar Ali Ghazanfar, Adam Prügel-Bennett:
The Advantage of Careful Imputation Sources in Sparse Data-Environment of Recommender Systems: Generating Improved SVD-based Recommendations. Informatica (Slovenia) 37(1): 61-92 (2013) - [j24]Wenming Bian, Mark French, Adam Prügel-Bennett:
Stability for Network Flow Control against Disturbances and Time Delays. SIAM J. Control. Optim. 51(2): 1063-1098 (2013) - [i1]Shaona Ghosh, Adam Prügel-Bennett:
Extended Formulations for Online Linear Bandit Optimization. CoRR abs/1311.5022 (2013) - 2012
- [j23]Mustansar Ali Ghazanfar, Adam Prügel-Bennett, Sándor Szedmák:
Kernel-Mapping Recommender system algorithms. Inf. Sci. 208: 81-104 (2012) - [j22]Adam Prügel-Bennett, Mohammad-Hassan Tayarani-Najaran:
Maximum Satisfiability: Anatomy of the Fitness Landscape for a Hard Combinatorial Optimization Problem. IEEE Trans. Evol. Comput. 16(3): 319-338 (2012) - [c31]Iwan Syarif, Ed Zaluska, Adam Prügel-Bennett, Gary B. Wills:
Application of Bagging, Boosting and Stacking to Intrusion Detection. MLDM 2012: 593-602 - [c30]Iwan Syarif, Adam Prügel-Bennett, Gary B. Wills:
Unsupervised Clustering Approach for Network Anomaly Detection. NDT (1) 2012: 135-145 - 2011
- [c29]Thomas Charles Barnard, Adam Prügel-Bennett:
Experiments in Bayesian Recommendation. AWIC 2011: 39-48 - [c28]Mustansar Ali Ghazanfar, Sándor Szedmák, Adam Prügel-Bennett:
Incremental Kernel Mapping Algorithms for Scalable Recommender Systems. ICTAI 2011: 1077-1084 - 2010
- [j21]Adam Prügel-Bennett:
Benefits of a Population: Five Mechanisms That Advantage Population-Based Algorithms. IEEE Trans. Evol. Comput. 14(4): 500-517 (2010) - [j20]Mohamed Qasem, Adam Prügel-Bennett:
Learning the Large-Scale Structure of the MAX-SAT Landscape Using Populations. IEEE Trans. Evol. Comput. 14(4): 518-529 (2010) - [c27]Mustansar Ali Ghazanfar, Adam Prügel-Bennett:
Novel Significance Weighting Schemes for Collaborative Filtering: Generating Improved Recommendations in Sparse Environments. DMIN 2010: 334-342 - [c26]Mustansar Ali Ghazanfar, Adam Prügel-Bennett:
A Scalable, Accurate Hybrid Recommender System. WKDD 2010: 94-98
2000 – 2009
- 2009
- [c25]Mohamed Qasem, Adam Prügel-Bennett:
Improving Performance in Combinatorial Optimisation Using Averaging and Clustering. EvoCOP 2009: 180-191 - 2008
- [j19]Nava Whiteford, Niall J. Haslam, Gerald Weber, Adam Prügel-Bennett, Jonathan W. Essex, Cameron Neylon:
Visualizing the Repeat Structure of Genomic Sequences. Complex Syst. 17(4) (2008) - [c24]Mohamed Qasem, Adam Prügel-Bennett:
Complexity of Max-SAT using stochastic algorithms. GECCO 2008: 615-616 - 2007
- [j18]Kyoung-Jae Won
An evolutionary method for learning HMM structure: prediction of protein secondary structure. BMC Bioinform. 8 (2007) - [j17]William Benfold, Jonathan Hallam, Adam Prügel-Bennett:
Optimal parameters for search using a barrier tree Markov model. Theor. Comput. Sci. 386(1-2): 94-113 (2007) - [c23]Adam Prügel-Bennett:
Finding critical backbone structures with genetic algorithms. GECCO 2007: 1343-1348 - 2006
- [j16]Ziheng Zhou, Adam Prügel-Bennett, Robert I. Damper:
A Bayesian Framework for Extracting Human Gait Using Strong Prior Knowledge. IEEE Trans. Pattern Anal. Mach. Intell. 28(11): 1738-1752 (2006) - [j15]Alex Rogers, Adam Prügel-Bennett, Nicholas R. Jennings
Phase transitions and symmetry breaking in genetic algorithms with crossover. Theor. Comput. Sci. 358(1): 121-141 (2006) - [j14]Kyoung-Jae Won
Evolving the structure of hidden Markov models. IEEE Trans. Evol. Comput. 10(1): 39-49 (2006) - [j13]Minghua He, Nicholas R. Jennings
A heuristic bidding strategy for buying multiple goods in multiple english auctions. ACM Trans. Internet Techn. 6(4): 465-496 (2006) - [c22]Ziheng Zhou, Robert I. Damper, Adam Prügel-Bennett:
Model SelectionWithin a Bayesian Approach to Extraction of Walker Motion. CVPR Workshops 2006: 44 - 2005
- [j12]Celia A. Glass
A polynomially searchable exponential neighbourhood for graph colouring. J. Oper. Res. Soc. 56(3): 324-330 (2005) - [j11]Jonathan Hallam, Adam Prügel-Bennett:
Large Barrier Trees for Studying Search. IEEE Trans. Evol. Comput. 9(4): 385-397 (2005) - [c21]Kyoung-Jae Won
Evolving hidden Markov models for protein secondary structure prediction. Congress on Evolutionary Computation 2005: 33-40 - [c20]William Benfold, Jonathan Hallam, Adam Prügel-Bennett:
Optimal simulated annealing schedules for larger problems. Congress on Evolutionary Computation 2005: 1119-1126 - [c19]Jonathan Hallam, Adam Prügel-Bennett:
Barrier-based models of hard problems and crossover. Congress on Evolutionary Computation 2005: 1661-1666 - [c18]Michael O. Jewell, Mark S. Nixon, Adam Prügel-Bennett:
State-Based sequencing: Directing the Evolution of Music. ICMC 2005 - [c17]Michael O. Jewell, Lee Middleton, Mark S. Nixon, Adam Prügel-Bennett, Sylvia C. Wong:
A Distributed Approach to Musical Composition. KES (3) 2005: 642-648 - 2004
- [j10]Kyoung-Jae Won
Training HMM structure with genetic algorithm for biological sequence analysis. Bioinform. 20(18): 3613-3619 (2004) - [j9]Adam Prügel-Bennett:
When a genetic algorithm outperforms hill-climbing. Theor. Comput. Sci. 320(1): 135-153 (2004) - [j8]Adam Prügel-Bennett:
Symmetry breaking in population-based optimization. IEEE Trans. Evol. Comput. 8(1): 63-79 (2004) - [c16]Minghua He, Nicholas R. Jennings
An adaptive bidding agent for multiple English auctions: a neuro-fuzzy approach. FUZZ-IEEE 2004: 1519-1524 - [c15]Kyoung-Jae Won
The Block Hidden Markov Model for Biological Sequence Analysis. KES 2004: 64-70 - [c14]Bernardo Silva Carmo, Yin-Heung Pauline Ng, Adam Prügel-Bennett, Guang-Zhong Yang:
A Data Clustering and Streamline Reduction Method for 3D MR Flow Vector Field Simplification. MICCAI (1) 2004: 451-458 - 2003
- [j7]Celia A. Glass
Genetic Algorithm for Graph Coloring: Exploration of Galinier and Hao's Algorithm. J. Comb. Optim. 7(3): 229-236 (2003) - [j6]Jeff P. Foster, Mark S. Nixon, Adam Prügel-Bennett:
Automatic gait recognition using area-based metric. Pattern Recognit. Lett. 24(14): 2489-2497 (2003) - [c13]Yin-Heung Pauline Ng, Bernardo Silva Carmo, Adam Prügel-Bennett, Guang-Zhong Yang:
A first order Lagrangian based variational approach for 3D flow vector field restoration. CARS 2003: 1185-1190 - [c12]Jonathan Hallam, Adam Prügel-Bennett:
Barrier Trees For Search Analysis. GECCO 2003: 1586-1587 - [c11]Michael O. Jewell, Mark S. Nixon
CBS: a concept-based sequencer for soundtrack composition. WEDELMUSIC 2003: 105-108 - 2002
- [c10]Adam Prügel-Bennett:
Modeling Finite Populations. FOGA 2002: 99-114 - 2001
- [j5]Adam Prügel-Bennett:
Modeling crossover-induced linkage in genetic algorithms. IEEE Trans. Evol. Comput. 5(4): 376-387 (2001) - [c9]Jeff P. Foster, Mark S. Nixon, Adam Prügel-Bennett:
New Area Based Metrics for Gait Recognition. AVBPA 2001: 312-317 - [c8]Jeff P. Foster, Mark S. Nixon, Adam Prügel-Bennett:
New Area Based Metrics for Automatic Gait Recognition. BMVC 2001: 1-10 - 2000
- [j4]Adam Prügel-Bennett:
Finite Population Effects for Ranking and Tournament Selection. Complex Syst. 12(2) (2000) - [c7]Adam Prügel-Bennett:
The Mixing Rate of Different Crossover Operators. FOGA 2000: 261-274
1990 – 1999
- 1999
- [j3]Alex Rogers, Adam Prügel-Bennett:
Genetic drift in genetic algorithm selection schemes. IEEE Trans. Evol. Comput. 3(4): 298-303 (1999) - 1998
- [c6]Adam Prügel-Bennett:
On the Limit of Long Strings. FOGA 1998: 45-56 - [c5]Alex Rogers, Adam Prügel-Bennett:
Modelling the Dynamics of a Steady State Genetic Algorithm. FOGA 1998: 57-68 - 1997
- [j2]Alex Rogers, Adam Prügel-Bennett:
The Dynamics of a Genetic Algorithm on a Model Hard Optimization Problem. Complex Syst. 11(6) (1997) - 1996
- [j1]John Hertz, Adam Prügel-Bennett:
Learning Synfire Chains: Turning Noise into Signal. Int. J. Neural Syst. 7(4): 445-450 (1996) - [c4]Jonathan Shapiro, Adam Prügel-Bennett:
Genetic Algorithm Dynamics in a Two-well Potential. FOGA 1996: 101-116 - 1995
- [c3]Jonathan L. Shapiro, Adam Prügel-Bennett:
Maximum Entropy Analysis of Genetic Algorithm Operators. Evolutionary Computing, AISB Workshop 1995: 14-24 - 1994
- [c2]Jonathan Shapiro, Adam Prügel-Bennett, Magnus Rattray:
A Statistical Mechanical Formulation of the Dynamics of Genetic Algorithms. Evolutionary Computing, AISB Workshop 1994: 17-27 - 1993
- [c1]Jonathan L. Shapiro, Adam Prügel-Bennett:
Non-Linear Statistical Analysis and Self-Organizing Hebbian Networks. NIPS 1993: 407-414
Coauthor Index
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