In this work, we present a novel scheme for affect prediction in music using a Boosted Ensemble of Single feature Filters (BESiF) model. Given a set of frame-�...

In this work, we present a novel scheme for affect prediction in music using a Boosted Ensemble of Single feature Filters (BESiF) model. Given a set of frame-�...

Affect Prediction in Music using Boosted Ensemble of Filters. In Proceedings of 2015 European Signal Processing Conference (EUSIPCO 2015), sep 2015�...

Bibliographic details on Affect prediction in music using boosted ensemble of filters.

This work presents a novel scheme for affect prediction in music using a Boosted Ensemble of Single feature Filters (BESiF) model, given a set of frame-wise�...

Sep 15, 2015 � Affect prediction in music using boosted ensemble of filters. In The 2015 European Signal. Processing Conference, Nice, France, 2015. [8]�...

Jun 29, 2024 � This article introduces ensemble learning algorithms in recommender systems, and in boosting algorithm framework of this article,�...

This paper proposes an ensemble scheme based on a co-training approach, named ECoRec, that drives two or more recommenders to agree with each others'�...

This work presents a novel scheme for affect prediction in music using a Boosted Ensemble of Single feature Filters (BESiF) model, given a set of frame-wise�...

Affect prediction is a classical problem and has recently garnered special interest in multimedia applications. Affect prediction in movies is one such�...