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2020 – today
- 2024
[j16]Róisín Luo, James McDermott, Colm O'Riordan:
Interpreting Global Perturbation Robustness of Image Models using Axiomatic Spectral Importance Decomposition. Trans. Mach. Learn. Res. 2024 (2024)- [j15]Stefano Mauceri
, James Sweeney, Miguel Nicolau, James McDermott:
Dissimilarity-Preserving Representation Learning for One-Class Time Series Classification. IEEE Trans. Neural Networks Learn. Syst. 35(10): 13951-13962 (2024) - [i7]Róisín Luo, Alexandru Drimbarean, James McDermott, Colm O'Riordan:
Reclaiming Residual Knowledge: A Novel Paradigm to Low-Bit Quantization. CoRR abs/2408.00923 (2024) - [i6]Róisín Luo, James McDermott, Colm O'Riordan:
Interpreting Global Perturbation Robustness of Image Models using Axiomatic Spectral Importance Decomposition. CoRR abs/2408.01139 (2024) - [i5]Pushkar Jajoria, James McDermott:
Text Conditioned Symbolic Drumbeat Generation using Latent Diffusion Models. CoRR abs/2408.02711 (2024) - 2023
- [c52]Abdul Shahid, Danny Diamond, James McDermott, Mathieu d'Aquin:
Ensemble Machine Learning Models for Root Note Detection in Irish Instrumental Dance Music. AICS 2023: 1-8 - [c51]Maziar Kanani, Seán O'Leary, James McDermott:
Graph-Based Mutations for Music Generation. GECCO Companion 2023: 1916-1919 - [c50]Fitria Wulandari Ramlan, James McDermott:
Genetic Programming with Synthetic Data for Interpretable Regression Modelling and Limited Data. LOD (1) 2023: 142-157 - [c49]Abdul Shahid, Danny Diamond, James McDermott:
Patterns2KG: JAMS Pipeline for Modeling Music Patterns. SWODCH 2023 - 2022
- [c48]Mohd Ismail Lakhani, James McDermott, Frank G. Glavin, Sai Priya Nagarajan:
Facial Expression Recognition of Animated Characters using Deep Learning. IJCNN 2022: 1-9 - 2021
- [j14]Stefano Mauceri, James Sweeney, Miguel Nicolau, James McDermott:
Feature extraction by grammatical evolution for one-class time series classification. Genet. Program. Evolvable Mach. 22(3): 267-295 (2021) - [c47]Amrutha Ramanathan, James McDermott:
Fall detection with accelerometer data using Residual Networks adapted to multi-variate time series classification. IJCNN 2021: 1-8 - 2020
- [j13]Stefano Mauceri, James Sweeney, James McDermott:
Dissimilarity-based representations for one-class classification on time series. Pattern Recognit. 100: 107122 (2020) - [j12]James McDermott:
When and Why Metaheuristics Researchers can Ignore "No Free Lunch" Theorems. SN Comput. Sci. 1(1): 60 (2020) - [c46]Jake Grogan, Connor Mulready, James McDermott, Martynas Urbanavicius, Murat Yilmaz, Yalemisew M. Abgaz, Andrew McCarren, Silvana Togneri MacMahon, Vahid Garousi, Peter Elger, Paul M. Clarke:
A Multivocal Literature Review of Function-as-a-Service (FaaS) Infrastructures and Implications for Software Developers. EuroSPI 2020: 58-75 - [c45]David Lynch, James McDermott, Michael O'Neill:
Program Synthesis in a Continuous Space Using Grammars and Variational Autoencoders. PPSN (2) 2020: 33-47
2010 – 2019
- 2019
- [j11]William Rogers, Paula Carroll, James McDermott:
A genetic algorithm approach to the smart grid tariff design problem. Soft Comput. 23(4): 1393-1405 (2019) - [j10]Van Loi Cao, Miguel Nicolau, James McDermott:
Learning Neural Representations for Network Anomaly Detection. IEEE Trans. Cybern. 49(8): 3074-3087 (2019) - [c44]Eoghan Keany, James McDermott:
Investigating Company Logo Memorability with Convolutional Neural Embedding Models. AICS 2019: 164-175 - [c43]James McDermott:
Why Is Auto-Encoding Difficult for Genetic Programming? EuroGP 2019: 131-145 - [c42]James McDermott, Alberto Moraglio:
Program Trace Optimization with Constructive Heuristics for Combinatorial Problems. EvoCOP 2019: 196-212 - [c41]Miguel Nicolau, James McDermott:
Genetic Programming Symbolic Regression: What Is the Prior on the Prediction? GPTP 2019: 201-225 - [i4]James McDermott:
When and Why Metaheuristics Researchers Can Ignore "No Free Lunch" Theorems. CoRR abs/1906.03280 (2019) - 2018
- [c40]Alberto Moraglio, James McDermott:
Program Trace Optimization. PPSN (2) 2018: 334-346 - [p4]Alberto Moraglio, James McDermott, Michael O'Neill:
Geometric Semantic Grammatical Evolution. Handbook of Grammatical Evolution 2018: 163-188 - 2017
- [c39]Van Loi Cao, Miguel Nicolau, James McDermott:
Late-acceptance and step-counting hill-climbing GP for anomaly detection. GECCO (Companion) 2017: 221-222 - [c38]James McDermott, Miguel Nicolau:
Late-acceptance hill-climbing with a grammatical program representation. GECCO (Companion) 2017: 241-242 - [c37]Michael Fenton, James McDermott, David Fagan, Stefan Forstenlechner, Erik Hemberg, Michael O'Neill:
PonyGE2: grammatical evolution in Python. GECCO (Companion) 2017: 1194-1201 - [c36]Stefano Mauceri, Louis Smith, James Sweeney, James McDermott:
Subject Recognition Using Wrist-Worn Triaxial Accelerometer Data. MOD 2017: 574-585 - [e5]James McDermott, Mauro Castelli, Lukás Sekanina, Evert Haasdijk, Pablo García-Sánchez:
Genetic Programming - 20th European Conference, EuroGP 2017, Amsterdam, The Netherlands, April 19-21, 2017, Proceedings. Lecture Notes in Computer Science 10196, 2017, ISBN 978-3-319-55695-6 [contents] - [i3]Michael Fenton, James McDermott, David Fagan, Stefan Forstenlechner, Michael O'Neill, Erik Hemberg:
PonyGE2: Grammatical Evolution in Python. CoRR abs/1703.08535 (2017) - [i2]Loïc Bontemps, Van Loi Cao, James McDermott, Nhien-An Le-Khac:
Collective Anomaly Detection based on Long Short Term Memory Recurrent Neural Network. CoRR abs/1703.09752 (2017) - [i1]Van Loi Cao, Nhien-An Le-Khac, Miguel Nicolau, Michael O'Neill, James McDermott:
Improving Fitness Functions in Genetic Programming for Classification on Unbalanced Credit Card Datasets. CoRR abs/1704.03522 (2017) - 2016
- [j9]Quang Uy Nguyen, Tuan Anh Pham, Xuan Hoai Nguyen, James McDermott:
Subtree semantic geometric crossover for genetic programming. Genet. Program. Evolvable Mach. 17(1): 25-53 (2016) - [j8]James McDermott, Richard S. Forsyth:
Diagnosing a disorder in a classification benchmark. Pattern Recognit. Lett. 73: 41-43 (2016) - [j7]Michael Fenton, Ciaran McNally, Jonathan Byrne, Erik Hemberg, James McDermott, Michael O'Neill:
Discrete Planar Truss Optimization by Node Position Variation Using Grammatical Evolution. IEEE Trans. Evol. Comput. 20(4): 577-589 (2016) - [c35]Van Loi Cao, Miguel Nicolau, James McDermott:
One-Class Classification for Anomaly Detection with Kernel Density Estimation and Genetic Programming. EuroGP 2016: 3-18 - [c34]Van Loi Cao, Nhien-An Le-Khac, Michael O'Neill, Miguel Nicolau, James McDermott:
Improving Fitness Functions in Genetic Programming for Classification on Unbalanced Credit Card Data. EvoApplications (1) 2016: 35-45 - [c33]Róisín Loughran, James McDermott, Michael O'Neill:
Grammatical Music Composition with Dissimilarity Driven Hill Climbing. EvoMUSART 2016: 110-125 - [c32]Loïc Bontemps, Van Loi Cao, James McDermott, Nhien-An Le-Khac:
Collective Anomaly Detection Based on Long Short-Term Memory Recurrent Neural Networks. FDSE 2016: 141-152 - [c31]Van Loi Cao, Miguel Nicolau, James McDermott:
A Hybrid Autoencoder and Density Estimation Model for Anomaly Detection. PPSN 2016: 717-726 - [e4]Malcolm I. Heywood, James McDermott, Mauro Castelli, Ernesto Costa, Kevin Sim:
Genetic Programming - 19th European Conference, EuroGP 2016, Porto, Portugal, March 30 - April 1, 2016, Proceedings. Lecture Notes in Computer Science 9594, Springer 2016, ISBN 978-3-319-30667-4 [contents] - 2015
- [j6]Edgar Galván López, Tom Curran, James McDermott, Paula Carroll:
Design of an autonomous intelligent Demand-Side Management system using stochastic optimisation evolutionary algorithms. Neurocomputing 170: 270-285 (2015) - [j5]Jonathan Byrne, Michael Fenton, Erik Hemberg, James McDermott, Michael O'Neill:
Optimising complex pylon structures with grammatical evolution. Inf. Sci. 316: 582-597 (2015) - [c30]Róisín Loughran, James McDermott, Michael O'Neill:
Tonality driven piano compositions with Grammatical Evolution. CEC 2015: 2168-2175 - [p3]James McDermott, Una-May O'Reilly:
Genetic Programming. Handbook of Computational Intelligence 2015: 845-869 - [e3]Penousal Machado, Malcolm I. Heywood, James McDermott, Mauro Castelli, Pablo García-Sánchez, Paolo Burelli, Sebastian Risi, Kevin Sim:
Genetic Programming - 18th European Conference, EuroGP 2015, Copenhagen, Denmark, April 8-10, 2015, Proceedings. Lecture Notes in Computer Science 9025, Springer 2015, ISBN 978-3-319-16500-4 [contents] - 2014
- [c29]Alexandros Agapitos, James McDermott, Michael O'Neill, Ahmed Kattan, Anthony Brabazon:
Higher Order Functions for Kernel Regression. EuroGP 2014: 1-12 - [c28]James McDermott:
Measuring Mutation Operators' Exploration-Exploitation Behaviour and Long-Term Biases. EuroGP 2014: 100-111 - [c27]James McDermott, Alexandros Agapitos, Anthony Brabazon, Michael O'Neill:
Geometric Semantic Genetic Programming for Financial Data. EvoApplications 2014: 215-226 - [e2]Juan Romero, James McDermott, João Correia:
Evolutionary and Biologically Inspired Music, Sound, Art and Design - Third European Conference, EvoMUSART 2014, Granada, Spain, April 23-25, 2014, Revised Selected Papers. Lecture Notes in Computer Science 8601, Springer 2014, ISBN 978-3-662-44334-7 [contents] - 2013
- [j4]David Robert White, James McDermott, Mauro Castelli, Luca Manzoni, Brian W. Goldman, Gabriel Kronberger, Wojciech Jaskowski, Una-May O'Reilly, Sean Luke:
Better GP benchmarks: community survey results and proposals. Genet. Program. Evolvable Mach. 14(1): 3-29 (2013) - [j3]James McDermott:
Graph grammars for evolutionary 3D design. Genet. Program. Evolvable Mach. 14(3): 369-393 (2013) - [c26]James McDermott, Paula Carroll:
Program Optimisation with Dependency Injection. EuroGP 2013: 133-144 - [p2]James McDermott, Toby Gifford, Anders Bouwer, Mark Wagy:
Should Music Interaction Be Easy? Music and Human-Computer Interaction 2013: 29-47 - [p1]James McDermott, Dylan Sherry, Una-May O'Reilly:
Evolutionary and Generative Music Informs Music HCI - And Vice Versa. Music and Human-Computer Interaction 2013: 223-240 - [e1]Penousal Machado, James McDermott, Adrián Carballal:
Evolutionary and Biologically Inspired Music, Sound, Art and Design - Second International Conference, EvoMUSART 2013, Vienna, Austria, April 3-5, 2013. Proceedings. Lecture Notes in Computer Science 7834, Springer 2013, ISBN 978-3-642-36954-4 [contents] - 2012
- [c25]Róisín Loughran, Jacqueline Walker, Michael O'Neill, James McDermott:
Genetic Programming for Musical Sound Analysis. EvoMUSART 2012: 176-186 - [c24]James McDermott:
Graph Grammars as a Representation for Interactive Evolutionary 3D Design. EvoMUSART 2012: 199-210 - [c23]Pedro Fazenda, James McDermott, Una-May O'Reilly:
A Library to Run Evolutionary Algorithms in the Cloud Using MapReduce. EvoApplications 2012: 416-425 - [c22]Dylan Sherry, Kalyan Veeramachaneni, James McDermott, Una-May O'Reilly:
Flex-GP: Genetic Programming on the Cloud. EvoApplications 2012: 477-486 - [c21]Edgar Galván López, Leonardo Trujillo, James McDermott, Ahmed Kattan:
Locality in Continuous Fitness-Valued Cases and Genetic Programming Difficulty. EVOLVE 2012: 41-56 - [c20]Erik Hemberg, Kalyan Veeramachaneni, James McDermott, Constantin Berzan, Una-May O'Reilly:
An investigation of local patterns for estimation of distribution genetic programming. GECCO 2012: 767-774 - [c19]James McDermott, David Robert White, Sean Luke, Luca Manzoni, Mauro Castelli, Leonardo Vanneschi, Wojciech Jaskowski, Krzysztof Krawiec, Robin Harper, Kenneth A. De Jong, Una-May O'Reilly:
Genetic programming needs better benchmarks. GECCO 2012: 791-798 - 2011
- [j2]Edgar Galván López, James McDermott, Michael O'Neill, Anthony Brabazon:
Defining locality as a problem difficulty measure in genetic programming. Genet. Program. Evolvable Mach. 12(4): 365-401 (2011) - [c18]James McDermott, Una-May O'Reilly, Leonardo Vanneschi, Kalyan Veeramachaneni:
How Far Is It from Here to There? A Distance That Is Coherent with GP Operators. EuroGP 2011: 190-202 - [c17]Jonathan Byrne, Michael Fenton, Erik Hemberg, James McDermott, Michael O'Neill, Elizabeth Shotton, Ciaran McNally:
Combining Structural Analysis and Multi-Objective Criteria for Evolutionary Architectural Design. EvoApplications (2) 2011: 204-213 - [c16]James McDermott, Una-May O'Reilly:
An executable graph representation for evolutionary generative music. GECCO 2011: 403-410 - 2010
- [j1]James McDermott, Michael O'Neill, Niall J. L. Griffith:
Interactive EC Control of Synthesized Timbre. Evol. Comput. 18(2): 277-303 (2010) - [c15]Jonathan Byrne, James McDermott, Edgar Galván López, Michael O'Neill:
Implementing an intuitive mutation operator for interactive evolutionary 3D design. IEEE Congress on Evolutionary Computation 2010: 1-7 - [c14]Edgar Galván López, James McDermott, Michael O'Neill, Anthony Brabazon:
Defining locality in genetic programming to predict performance. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c13]James McDermott, Jonathan Byrne, John Mark Swafford, Michael O'Neill, Anthony Brabazon:
Higher-order functions in aesthetic EC encodings. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c12]James McDermott, Michael O'Neill, Anthony Brabazon:
Interactive interpolating crossover in grammatical evolution. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c11]Jonathan Byrne, Michael O'Neill, James McDermott, Anthony Brabazon:
An Analysis of the Behaviour of Mutation in Grammatical Evolution. EuroGP 2010: 14-25 - [c10]Jianhua Shao, James McDermott, Michael O'Neill, Anthony Brabazon:
Jive: A Generative, Interactive, Virtual, Evolutionary Music System. EvoApplications (2) 2010: 341-350 - [c9]Edgar Galván López, James McDermott, Michael O'Neill, Anthony Brabazon:
Towards an understanding of locality in genetic programming. GECCO 2010: 901-908 - [c8]James McDermott, Edgar Galván López, Michael O'Neill:
A Fine-Grained View of GP Locality with Binary Decision Diagrams as Ant Phenotypes. PPSN (1) 2010: 164-173
2000 – 2009
- 2009
- [c7]John Reddin, James McDermott, Michael O'Neill:
Elevated Pitch: Automated Grammatical Evolution of Short Compositions. EvoWorkshops 2009: 579-584 - [c6]Michael O'Neill, John Mark Swafford, James McDermott, Jonathan Byrne, Anthony Brabazon, Elizabeth Shotton, Ciaran McNally, Martin Hemberg:
Shape grammars and grammatical evolution for evolutionary design. GECCO 2009: 1035-1042 - 2008
- [c5]James McDermott, Niall J. L. Griffith, Michael O'Neill:
New-Generation Methods in an Interpolating EC Synthesizer Interface. EvoWorkshops 2008: 497-502 - [c4]James McDermott, Niall Griffith, Michael O'Neill:
Evolutionary Computation Applied to Sound Synthesis. The Art of Artificial Evolution 2008: 81-101 - 2007
- [c3]James McDermott, Niall J. L. Griffith, Michael O'Neill:
Evolutionary GUIs for Sound Synthesis. EvoWorkshops 2007: 547-556 - 2006
- [c2]James McDermott, Niall J. L. Griffith, Michael O'Neill:
Timbral, Perceptual, And Statistical Attributes for Synthesized Sound. ICMC 2006 - 2005
- [c1]James McDermott, Niall J. L. Griffith, Michael O'Neill:
Toward User-Directed Evolution of Sound Synthesis Parameters. EvoWorkshops 2005: 517-526
Coauthor Index
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last updated on 2024-10-23 20:35 CEST by the dblp team
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