Publications
How Do We Want to Interact with Robotic Environments? User Preferences for Embodied Interactions, from Pushbuttons to AI
Yixiao Wang and Keith Evan Green, 2022, A Book Chapter in “Springer Series in Adaptive Environments” (SSAE), accepted
Computationally Efficient Physics Approximating Neural Networks for Highly Nonlinear Maps
Christopher Johann Clarke, Jatin Chowdhury, Balamurali B T, Prachee Priyadarshinee, Cindy Ming Ying Lim, Ivan Fu Xing Tan, Dorien Herremans and Jer Ming Chen, 2022, Proc. of the 2022 International Conference on Research in Adaptive and Convergent Systems (RACS)
Forecasting Bitcoin Volatility Spikes from Whale Transactions and Cryptoquant Data Using Synthesizer Transformer Models
Herremans D., Low K.W., 2022, SSRN, arXiv:2211.08281, https://ssrn.com/abstract=4247684
EmoMV: Affective Music-Video Correspondence Learning Datasets for Classification and Retrieval
Pham Q-H, Herremans D., Roig G., 2022, Information Fusion, 91 (2023), 64-79
REACT: A Heterogeneous Reconfigurable Neural Network Accelerator with Software-Configurable NoCs for Training and Inference on wearables
Mohit Upadhyay, Rohan Juneja, Bo Wang, Jun Zhou, Weng-Fai Wong, Li-Shiuan Peh, 2022, Design Automation Conference, 2022 (accepted)
Designing Socially Interactive, Robotic Environments through Pattern Languages
Yixiao Wang and Keith Evan Green, 2022, In proceedings of Fourteenth IEEE International Conference on Intelligent Environment (IE), accepted., Fourteenth IEEE International Conference on Intelligent Environments (IE)
A Machine Learning Approach for MIDI to Guitar Tablature Conversion
Kaliakatsos-Papakostas N., Bastas G., Makris D., Herremans D., Katsouros V., Maragos P., 2022, Sound and Music Computing Conference (SMC)
HEAR 2021: Holistic Evaluation of Audio Representations
oseph Turian, Jordie Shier, Humair Raj Khan, Bhiksha Raj, Björn W. Schuller, Christian J. Steinmetz, Colin Malloy, George Tzanetakis, Gissel Velarde, Kirk McNally, Max Henry, Nicolas Pinto, Camille Noufi, Christian Clough, Dorien Herremans, Eduardo Fonseca, Jesse Engel, Justin Salamon, Philippe Esling, Pranay Manocha, Shinji Watanabe, Zeyu Jin, Yonatan Bisk, 2022, Proceedings of Machine Learning Research (PMLR): NeurIPS 2021 Competition Track, https://arxiv.org/abs/2203.03022
Reliability assessment of patched SCADA EMS/DMS servers through similarity matching
J. Biswas, D.K.Y. Yau, Z. Li, M. Yu, I.L. Koh, K.N. Tan, Z. Zhang, J. Chua, W.A. Tso, Y.K. Heng, 2022, IEEE Innovative Smart Grid Technologies (ISGT, New Orleans, LA, USA
Worst-case Rigidity Analysis and Optimization for Assemblies with Mechanical Joints
Zhenyuan Liu, Jingyu Hu, Hao Xu, Peng Song, Ran Zhang, Bernd Bickel, and Chi-Wing Fu, 2022, Computer Graphics Forum (Proc. of Eurographics), accepted