@conference {2026,
	title = {Generative AI in Education for SDG 4: Insights from Indonesia and Kazakhstan},
	booktitle = {Proceedings of the Pacific Asia Conference on Information Systems (PACIS).},
	year = {2026},
	author = {A. Mesha Putri and S. Saide and D. Kasim Riau and D. Herremans}
}
@article {2024,
	title = {Gamification and skills tree},
	year = {2024},
	url = {https://sutd.edu.sg/SUTD/media/SUTD/SUTD-campusX_CPL-Foresight-Report.pdf},
	author = {D. Chow and D. Herremans}
}
@conference {2022,
	title = {A Gaussian mixture classifier model to differentiate respiratory symptoms using phonated /ɑ:/ sounds},
	booktitle = {The 18th Australasian International Conference on Speech Science and Technology (SST)},
	year = {2022},
	month = {12/2022},
	publisher = {ASSTA},
	organization = {ASSTA},
	address = {Canberra, Australia},
	abstract = {An audio-based classification model that differentiates between healthy vs pathological respiratory symptoms using acoustic features extracted from phonated /ɑ:/ sounds is presented. For this, a new dataset of phonated /ɑ:/ sounds, together with a clinician{\textquoteright}s diagnosis, was compiled and a Gaussian Mixture Model (GMM) using Mel-Frequency Cepstral Coefficients (MFCCs) classifier was used. Despite no significant differences in mean values of the fundamental and formant frequency (F0, F1, F2, and F3) distribution for /ɑ:/ sounds retrieved from healthy vs pathological populations, our /ɑ:/ sound model trained using MFCCs resulted in an accuracy of 81.92\% when compared against clinician{\textquoteright}s diagnosis.},
	url = {https://sst2022.com/a-gaussian-mixture-classifier-model-to-differentiate-respiratory-symptoms-using-phonated-a\%cb\%90-sounds/},
	author = {Balamurali BT and H.I. Hee and C. Ming and Y. Lin and P. Priyadarshinee and C.J. Clarke and D. Herremans and J.M. Chen}
}
@conference {2021,
	title = {Generating Lead Sheets with Affect: A Novel Conditional seq2seq Framework},
	booktitle = {Proceedings of the International Joint Conference on Neural Networks (IJCNN)},
	year = {2021},
	publisher = {IEEE},
	organization = {IEEE},
	address = {Virtual},
	url = {https://arxiv.org/abs/2104.13056},
	author = {D. Makris and K. Agres and D. Herremans}
}
@proceedings {2020,
	title = {Generative Modelling for Controllable Audio Synthesis of Expressive Piano Performance},
	year = {2020},
	month = {07/2020},
	publisher = {arXiv:2006.09833},
	abstract = {We present a controllable neural audio synthesizer based on Gaussian Mixture Variational Autoencoders (GM-VAE), which can generate realistic piano performances in the audio domain that closely follows temporal conditions of two essential style features for piano performances: articulation and dynamics. We demonstrate how the model is able to apply fine-grained style morphing over the course of synthesizing the audio. This is based on conditions which are latent variables that can be sampled from the prior or inferred from other pieces. One of the envisioned use cases is to inspire creative and brand new interpretations for existing pieces of piano music.},
	url = {https://arxiv.org/abs/2006.09833},
	author = {Hao Hao Tan and Y.J. Luo and D. Herremans}
}
@article {97,
	title = {Generating guitar solos by integer programming},
	journal = {Journal of the Operational Research Society},
	year = {2017},
	pages = {971-985},
	doi = {https://doi.org/10.1080/01605682.2017.1390528},
	url = {http://www.tandfonline.com/eprint/Prks6BcYNEivw87vSu86/full},
	author = {Cunha, N. and Subramanian A. and Herremans, D}
}
@inbook {35,
	title = {Generating Fingerings for Polyphonic Piano Music with a Tabu Search Algorithm},
	booktitle = {Mathematics and Computation in Music},
	series = {Lecture Notes in Computer Science},
	volume = {9110},
	year = {2015},
	pages = {149-160},
	publisher = {Springer International Publishing},
	organization = {Springer International Publishing},
	keywords = {Combinatorial optimisation, Metaheuristics, OR in Music, Piano fingering, Tabu search},
	isbn = {978-3-319-20602-8},
	doi = {10.1007/978-3-319-20603-5_15},
	url = {http://dx.doi.org/10.1007/978-3-319-20603-5_15},
	author = {M. Balliauw and D. Herremans and Palhazi Cuervo, D. and K. S{\"o}rensen},
	editor = {Collins, Tom and Meredith, David and Volk, Anja}
}
@proceedings {30,
	title = {Generating music with an optimization algorithm using a Markov based objective function},
	year = {2015},
	author = {D. Herremans and S. Weisser and K. S{\"o}rensen and D. Conklin}
}
@article {31,
	title = {Generating structured music for bagana using quality metrics based on Markov models},
	journal = {Expert Systems With Applications},
	volume = {42 (21)},
	year = {2015},
	pages = {424{\textendash}7435},
	author = {D. Herremans and S. Weisser and K. S{\"o}rensen and D. Conklin}
}
@article {243,
	title = {Generating structured music using quality metrics based on Markov models},
	number = {2014019},
	year = {2014},
	institution = {University of Antwerp},
	type = {Technical Report 2014:019- UA, Faculty of Applied Economics},
	address = {Antwerp},
	url = {https://ideas.repec.org/p/ant/wpaper/2014019.html},
	author = {D. Herremans and S. Weisser and K. S{\"o}rensen and D. Conklin}
}
