Analysis of genetic algorithms using statistical mechanics A Prügel-Bennett, JL Shapiro Physical review letters 72 (9), 1305, 1994 | 284 | 1994 |
Automatic gait recognition using area-based metrics JP Foster, MS Nixon, A Prügel-Bennett Pattern Recognition Letters 24 (14), 2489-2497, 2003 | 207 | 2003 |
A scalable, accurate hybrid recommender system MA Ghazanfar, A Prugel-Bennett 2010 Third International Conference on Knowledge Discovery and Data Mining …, 2010 | 157 | 2010 |
An analysis of the feasibility of short read sequencing N Whiteford, N Haslam, G Weber, A Prügel-Bennett, JW Essex, PL Roach, ... Nucleic acids research 33 (19), e171-e171, 2005 | 156 | 2005 |
Analysis of synfire chains M Herrmann, JA Hertz, A Prügel-Bennett Network: computation in neural systems 6 (3), 403-414, 1995 | 154 | 1995 |
Novel centroid selection approaches for KMeans-clustering based recommender systems S Zahra, MA Ghazanfar, A Khalid, MA Azam, U Naeem, A Prugel-Bennett Information sciences 320, 156-189, 2015 | 147 | 2015 |
Genetic drift in genetic algorithm selection schemes A Rogers, A Prugel-Bennett IEEE Transactions on Evolutionary Computation 3 (4), 298-303, 1999 | 141 | 1999 |
The dynamics of a genetic algorithm for simple random Ising systems A Prügel-Bennett, JL Shapiro Physica D: Nonlinear Phenomena 104 (1), 75-114, 1997 | 130 | 1997 |
Leveraging clustering approaches to solve the gray-sheep users problem in recommender systems MA Ghazanfar, A Prügel-Bennett Expert Systems with Applications 41 (7), 3261-3275, 2014 | 128 | 2014 |
Unsupervised clustering approach for network anomaly detection I Syarif, A Prugel-Bennett, G Wills International conference on networked digital technologies, 135-145, 2012 | 125 | 2012 |
Learning to count objects in natural images for visual question answering Y Zhang, J Hare, A Prügel-Bennett arXiv preprint arXiv:1802.05766, 2018 | 119 | 2018 |
Modelling the dynamics of a steady-state genetic algorithm A Rogers, A Prügel-Bennett Foundations of genetic algorithms 5, 57-68, 1999 | 96 | 1999 |
Modelling evolving populations A Prügel-Bennett Journal of Theoretical Biology 185 (1), 81-95, 1997 | 92 | 1997 |
SVM parameter optimization using grid search and genetic algorithm to improve classification performance I Syarif, A Prugel-Bennett, G Wills Telkomnika 14 (4), 1502, 2016 | 84 | 2016 |
Application of bagging, boosting and stacking to intrusion detection I Syarif, E Zaluska, A Prugel-Bennett, G Wills International Workshop on Machine Learning and Data Mining in Pattern …, 2012 | 82 | 2012 |
An improved switching hybrid recommender system using Naive Bayes classifier and collaborative filtering M Ghazanfar, A Prugel-Bennett | 77 | 2010 |
Benefits of a population: Five mechanisms that advantage population-based algorithms A Prügel-Bennett IEEE Transactions on Evolutionary Computation 14 (4), 500-517, 2010 | 77 | 2010 |
Training HMM structure with genetic algorithm for biological sequence analysis KJ Won, A Prügel-Bennett, A Krogh Bioinformatics 20 (18), 3613-3619, 2004 | 77 | 2004 |
A statistical mechanical formulation of the dynamics of genetic algorithms J Shapiro, A Prügel-Bennett, M Rattray AISB Workshop on Evolutionary Computing, 17-27, 1994 | 74 | 1994 |
When a genetic algorithm outperforms hill-climbing A Prügel-Bennett Theoretical Computer Science 320 (1), 135-153, 2004 | 64 | 2004 |