@conference {2020,
	title = {A variational autoencoder for music generation controlled by tonal tension},
	booktitle = {Joint Conference on AI Music Creativity (CSMC + MuMe)},
	year = {2020},
	month = {11/2020},
	url = {https://arxiv.org/abs/2010.06230},
	author = {Rui Guo and Ivor Simpson and Thor Magnusson and C. Kiefer and D. Herremans}
}
@article {43,
	title = {A variable neighborhood search algorithm to generate piano fingerings for polyphonic sheet music},
	journal = {International Transactions in Operational Research, Special Issue on Variable Neighbourhood Search},
	volume = {24},
	year = {2017},
	month = {05/2017},
	pages = {509{\textendash}535},
	abstract = {A piano fingering indicates which finger should play each note in a piece. Such a guideline is very helpful for both amateur and experienced players in order to play a piece fluently. In this paper, we propose a variable neighborhood search algorithm to generate piano fingerings for complex polyphonic music, a frequently encountered case that was ignored in previous research. The algorithm takes into account the biomechanical properties of the pianist{\textquoteright}s hand in order to generate a fingering that is user-specific and as easy to play as possible. An extensive statistical analysis was carried out in order to tune the parameters of the algorithm and evaluate its performance. The results of computational experiments show that the algorithm generates good fingerings that are very similar to those published in sheet music books.},
	doi = {10.1111/itor.12211},
	url = {http://onlinelibrary.wiley.com/doi/10.1111/itor.12211/full},
	author = {M. Balliauw and D. Herremans and Palhazi Cuervo, D. and K. S{\"o}rensen}
}
@proceedings {100,
	title = {Visualizing the evolution of alternative hit charts},
	year = {2017},
	month = {10/2017},
	address = {Suzhou, China},
	author = {D. Herremans and W. Lauwers}
}
@article {99,
	title = {A Variable Neighborhood Search Algorithm for Composing First Species Counterpoint Musical Fragments},
	volume = {2011017},
	number = {Technical Report 2011:017- UA, Faculty of Applied Economics},
	year = {2011},
	month = {October},
	type = {Working paper, University of Antwerp, Faculty of Applied Economics},
	abstract = {In this paper a variable neighbourhood search (VNS) algorithm is developed that can generate musical fragments of arbitrary length consisting of a cantus firmus and a first species counterpoint melody. The objective function of the algorithm is based on a quantification of existing counterpoint rules. The VNS algorithm developed in this paper is a local search algorithm that starts from a randomly generated melody and improves it by changing one or two notes at a time. A thorough parametric analysis of the VNS reveals the significance of the algorithm{\textquoteright}s parameters on the quality of the composed fragment, as well as their optimal settings. The VNS algorithm has been implemented in a user-friendly software environment for composition, called Optimuse. Optimuse allows a user to specify a number of characteristics such as length, key, and mode. Based on this information, Optimuse {\textquotedblleft}composes{\textquotedblright} both a cantus firmus and a first species counterpoint melody. Alternatively, the user may specify a cantus firmus, and let Optimuse compose only an accompanying first species counterpoint melody.},
	issn = {Technical Report 2011:017- UA, Faculty of Applied Economics},
	url = {http://ideas.repec.org/p/ant/wpaper/2011017.html},
	author = {D. Herremans and K. S{\"o}rensen}
}
