Dionisios N. Sotiropoulos

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We explore the use of objective audio signal features to model the individualized (subjective) perception of similarity between music files. We present MUSIPER, a content-based music retrieval system which constructs music similarity perception models of its users by associating different music similarity measures to different users. Specifically, a(More)
* 0-7803-8566-7/04/$20.00 © 2004 IEEE. Abstract We address the problem of modeling the subjective perception of similarity between two music files that have been extracted from a music database with use of objective features. We propose the importation of user models in Content-Based Music Retrieval systems, which embody the ability of evolving and using(More)
In this paper, we compare the performance of Artificial Immune System (AIS)-based classification algorithms to the performance of Gaussian kernel-based Support Vector Machines (SVM) in problems with a high degree of class imbalance. Our experimentation indicates that the AIS-based classification paradigm has the intrinsic properly of dealing more(More)
We investigate the effect of the Class Imbalance Problem on the performance of an Artificial Immune System(AIS)-based classification algorithm. Our motivation stems from the fact that the Adaptive Immune System constitutes one of the most sophisticated biological systems which is particularly evolved in order to continuously address an extremely unbalanced(More)
This paper decomposes the problem of recommendation into a two level cascade recommendation scheme which benefits from both content-based and collaborative filtering methodologies. The first level utilizes the content-based features of items in order to incorporate the individualized (subjective) user preferences within the recommendation process. This is(More)