Melechovsky J., Novotny M., Tykalova T., Klempir J., Herremans D..  2026.  Development of Interpretable Deep Learning-based Segmentation Algorithm for Automated Assessment of Oral Diadochokinesis in Progressive Neurological Diseases. Journal of Speech, Language, and Hearing Research.

• Google Scholar
• BibTeX

Puri G., Socklingam N., Herremans D..  2026.  Digital Lifelong Learning in the Age of AI: Trends and Insights .

• Google Scholar
• BibTeX

Song M., Liu R., Wang X, Jiang Y, Xie P, Huang F, Zhou J, Herremans D., Poria S..  2025.  Demystifying deep search: a holistic evaluation with hint-free multi-hop questions and factorised metrics. arXiv:2510.05137.

• Google Scholar
• BibTeX

Melechovsky J., Mehrish A., Sisman B., Herremans D..  2024.  DART: Disentanglement of Accent and Speaker Representation in Multispeaker Text-to-Speech. Audio Imagination: NeurIPS 2024 Workshop.

• Google Scholar
• BibTeX

Ong J., Herremans D..  2024.  DeepUnifiedMom: Unified Time-series Momentum Portfolio Construction via Multi-Task Learning with Multi-Gate Mixture of Experts. arXiv:2406.08742.

• Google Scholar
• BibTeX

2406.08742v1.pdf (1.06 MB)

Wang K., Herremans D..  2024.  DisfluencySpeech -- Single-Speaker Conversational Speech Dataset with Paralanguage. Proc. of IEEE Tencon, Singapore.

• Google Scholar
• BibTeX

Cheuk K.W., Sawata R, Uesaka T, Murata N, Takahashi N, Takahashi S, Herremans D., Mitsufuji Y.  2023.  DiffRoll: Diffusion-based Generative Music Transcription with Unsupervised Pretraining Capability. ICASSP.

• Google Scholar
• BibTeX

diffroll.pdf (2.2 MB)

Guo Z, Kang J., Herremans D..  2023.  A Domain-Knowledge-Inspired Music Embedding Space and a Novel Attention Mechanism for Symbolic Music Modeling. Proceedings of the 37th AAAI Conference on Artificial Intelligence.

• Google Scholar
• BibTeX

2212.00973.pdf (1.74 MB)

Levers O.D, Herremans D., Dipankar A., Blessing L..  2022.  Downscaling using Deep Convolutional Autoencoders, a case study for South East Asia. Egusphere preprint.

• Google Scholar
• BibTeX

egusphere-2022-234.pdf (8.99 MB)

Nahar F., Agres K., BT B, Herremans D..  2020.  A dataset and classification model for Malay, Hindi, Tamil and Chinese music. 13th Workshop on music and machine learning (MML) as part of ECML/PKDD.

• Google Scholar
• BibTeX

2009.04459.pdf (234.8 KB)

Hee H.I., BT B, Karunakaran A., Herremans D., Teoh O.H., Lee K.P., Teng S.S., Lui S., Chen J.M..  2019.  Development of Machine Learning for asthmatic and healthy voluntary cough - a proof of concept study. Applied Sciences. 9(14)

• Google Scholar
• BibTeX

applsci-09-02833.pdf (2.06 MB)

Lee-Leon A., Yuen C., Herremans D..  2019.  Doppler Invariant Demodulation for Shallow Water Acoustic Communications Using Deep Belief Networks. 16th IEEE Asia Pacific Wireless Communications Symposium (APWCS).

• Google Scholar
• BibTeX

1909.02850.pdf (790.54 KB)

Herremans D., Martens D, Sörensen K..  2014.  Dance hit song prediction. Journal of New music Research. 43:302.

• Google Scholar
• BibTeX

wp_hit.pdf (689.07 KB)

Herremans D., Martens D, Sörensen K..  2013.  Dance Hit Song Science. International Workshop on Music and Machine Learning.

• Google Scholar
• BibTeX

abstract_preprint_MML2013_DH.pdf (194.82 KB)

Herremans D..  2010.  Drupal 6: Ultimate Community Site Guide.

• Google Scholar
• BibTeX