Using Smoothed Data Histograms for Cluster Visualization in Self-Organizing Maps
ICANN '02 Proceedings of the International Conference on Artificial Neural Networks
A comparative study on content-based music genre classification
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
Warping indexes with envelope transforms for query by humming
Proceedings of the 2003 ACM SIGMOD international conference on Management of data
MARSYAS: a framework for audio analysis
Organised Sound
MARSYAS: a framework for audio analysis
Organised Sound
Proceedings of the 5th ACM/IEEE-CS joint conference on Digital libraries
A Large-Scale Evaluation of Acoustic and Subjective Music-Similarity Measures
Computer Music Journal
A knowledge environment for the biodiversity and ecological sciences
Journal of Intelligent Information Systems
Meandre: Semantic-Driven Data-Intensive Flows in the Clouds
ESCIENCE '08 Proceedings of the 2008 Fourth IEEE International Conference on eScience
Multimodal Music Mood Classification Using Audio and Lyrics
ICMLA '08 Proceedings of the 2008 Seventh International Conference on Machine Learning and Applications
Future Generation Computer Systems
The chuck audio programming language. "a strongly-timed and on-the-fly environ/mentality"
The chuck audio programming language. "a strongly-timed and on-the-fly environ/mentality"
The WEKA data mining software: an update
ACM SIGKDD Explorations Newsletter
The Networked Environment for Music Analysis (NEMA)
SERVICES '10 Proceedings of the 2010 6th World Congress on Services
SMALLbox - an evaluation framework for sparse representations and dictionary learning algorithms
LVA/ICA'10 Proceedings of the 9th international conference on Latent variable analysis and signal separation
Semantics for Music Analysis through Linked Data: How Country is My Country?
ESCIENCE '10 Proceedings of the 2010 IEEE Sixth International Conference on e-Science
Automatic music classification with jmir
Automatic music classification with jmir
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Many solutions for the reuse and re-purposing of Music Information Retrieval (MIR) methods, and the tools implementing those methods, have been introduced over recent years. Proposals for achieving interoperability between systems have ranged from shared software libraries and interfaces, through common frameworks and portals, to standardised file formats and metadata. Here we assess these solutions for their suitability to be reused and combined as repurposable components within assemblies (or workflows) that can be used in novel and possibly more ambitious ways. Reuse and repeatability also have great implications for the process of MIR research: the encapsulation of any algorithm and its operation--including inputs, parameters, and outputs--is fundamental to the repeatability and reproducibility of an experiment. This is desirable both for the open and reliable evaluation of algorithms and for the advancement of MIR by building more effectively upon prior research. At present there is no clear best practice widely adopted by the field. Based upon our analysis of contemporary systems and their adoption we reflect as to whether this should be considered a failure. Are there limits to interoperability unique to MIR, and how might they be overcome? Beyond workflows how much research context can, and should, be captured? We frame our assessment within the emerging notion of Research Objects for reproducible research in other domains, and describe how their adoption could serve as a route to reuse in MIR.