Items Authored/Edited by Wiggins, Geraint A.
Up a level |
Number of items: 12.
2019
Xiao, Ping; Toivonen, Hannu; Gross, Oskar; Cardoso, Amílcar; Correia, João; Machado, Penousal; Martins, Pedro; Goncalo Oliveira, Hugo; Sharma, Rahul; Pinto, Alexandre Miguel; Díaz, Alberto; Francisco, Virginia; Gervás, Pablo; Hervás, Raquel; León, Carlos; Forth, Jamie; Purver, Matthew; Wiggins, Geraint A.; Miljković, Dragana; Podpečan, Vid; Pollak, Senja; Kralj, Jan; Žnidaršič, Martin; Bohanec, Marko; Lavrač, Nada; Urbančič, Tanja; van der Velde, Frank and Battersby, Stuart.
2019.
Conceptual Representations for Concept Creation.
ACM Computing Surveys, 52(1),
ISSN 0360-0300
[Article]
2018
Wiggins, Geraint A. and Forth, Jamie.
2018.
Computational Creativity and Live Algorithms.
In: Alex McLean and Roger Dean, eds.
The Oxford Handbook of Algorithmic Music.
Oxford, UK: Oxford University Press.
ISBN 9780190226992
[Book Section]
2017
van der Velde, Frank; Forth, Jamie; Nazareth, Deniece S. and Wiggins, Geraint A..
2017.
Linking neural and symbolic representation and processing of conceptual structures.
Frontiers in Psychology, 8,
1297.
ISSN 1664-1078
[Article]
2016
Agres, Kathleen; Forth, Jamie and Wiggins, Geraint A..
2016.
Evaluation of Musical Creativity and Musical Metacreation Systems.
Computers in Entertainment, 14(3),
pp. 1-33.
[Article]
2015
2012
2010
2009
Forth, Jamie and Wiggins, Geraint A..
2009.
An approach for identifying salient repetition in multidimensional representations of polyphonic music.
In: Joseph Chan; Jacqueline W. Daykin and M. Sohel Rahman, eds.
London Algorithmics 2008: Theory and Practice.
London: College Publications, pp. 44-58.
ISBN 9781904987970
[Book Section]
Ewert, Sebastian; Müller, Meinard; Müllensiefen, Daniel; Clausen, Michael and Wiggins, Geraint A..
2009.
Case Study ``Beatles Songs'' — What can be Learned from Unreliable Music Alignments?
Dagstuhl Seminar Proceedings,
pp. 1-16.
ISSN 1862 - 4405
[Article]
2008
2006
Wiggins, Geraint A. and Pearce, Marcus T..
2006.
Expectation in Melody: The Influence of Context and Learning.
Music Perception, 23(5),
pp. 377-405.
ISSN 0730-7829
[Article]