| The use of mel-frequency cepstral coefficients in musical instrument identification R Loughran, J Walker, M O'Neill, M O'Farrell ICMC, 2008 | 58 | 2008 |
| Application Domains Considered in Computational Creativity. R Loughran, M O'Neill ICCC, 197-204, 2017 | 32 | 2017 |
| A survey of statistical machine learning elements in genetic programming A Agapitos, R Loughran, M Nicolau, S Lucas, M O’Neill, A Brabazon IEEE Transactions on Evolutionary Computation 23 (6), 1029-1048, 2019 | 31 | 2019 |
| Tonality driven piano compositions with grammatical evolution R Loughran, J McDermott, M O'Neill 2015 IEEE Congress on Evolutionary Computation (CEC), 2168-2175, 2015 | 28 | 2015 |
| Evolutionary music: applying evolutionary computation to the art of creating music R Loughran, M O’Neill Genetic Programming and Evolvable Machines 21, 55-85, 2020 | 25 | 2020 |
| Generative Music Evaluation: Why do We Limit to ‘Human’? R Loughran, M O’Neill Computer Simulation of Musical Creativity, 2016 | 22 | 2016 |
| Musical instrument identification using principal component analysis and multi-layered perceptrons R Loughran, J Walker, M O'Neill, M O'Farrell 2008 International Conference on Audio, Language and Image Processing, 643-648, 2008 | 16 | 2008 |
| Feature selection for speaker verification using genetic programming R Loughran, A Agapitos, A Kattan, A Brabazon, M O’Neill Evolutionary Intelligence 10, 1-21, 2017 | 13 | 2017 |
| Grammatical music composition with dissimilarity driven hill climbing R Loughran, J McDermott, M O’Neill Evolutionary and Biologically Inspired Music, Sound, Art and Design: 5th …, 2016 | 12 | 2016 |
| Grammatical evolution with zipf’s law based fitness for melodic composition R Loughran, J McDermott, M O’Neill Sound and Music Computing Conference, Maynooth, 2015 | 11 | 2015 |
| An exploration of genetic algorithms for efficient musical instrument identification R Loughran, J Walker, M O'Neill IET Digital Library, 2009 | 8 | 2009 |
| Limitations from Assumptions in Generative Music Evaluation R Loughran, M O’Neill Journal of Creative Music Systems 2 (1), 2017 | 7 | 2017 |
| Clustering agents for the evolution of autonomous musical fitness R Loughran, M O’Neill Computational Intelligence in Music, Sound, Art and Design: 6th …, 2017 | 6 | 2017 |
| The Popular Critic: Evolving Melodies with Popularity Driven Fitness R Loughran, M O’Neill Musical Metacreation (MuMe), 2016 | 6 | 2016 |
| Bias and Creativity. R Loughran ICCC, 354-358, 2022 | 5 | 2022 |
| On the suitability of evolutionary computing to developing tools for intelligent music production AD Wilson, R Loughran, BM Fazenda | 5 | 2017 |
| Genetic programming for musical sound analysis R Loughran, J Walker, M O’Neill, J McDermott Evolutionary and Biologically Inspired Music, Sound, Art and Design: First …, 2012 | 5 | 2012 |
| Comparison of features for musical instrument identification using artificial neural networks R Loughran, J Walker, M O’Neill, M O’Farrell CMMR, Copenhagen, Denmark, 19-33, 2008 | 5 | 2008 |
| Is Computational Creativity Domain-General? R Loughran, M O'Neill ICCC, 112-119-, 2018 | 4 | 2018 |
| Musical instrument identification with feature selection using evolutionary methods RB Loughran Ph. D. thesis, University of Limerick, 2009 | 4 | 2009 |
