Deterministic Leader Election in Programmable Matter
(2019)
Presentation / Conference Contribution
Emek, Y., Kutten, S., Lavi, R., & Moses Jr., W. K. (2019). Deterministic Leader Election in Programmable Matter. In C. Baier, I. Chatzigiannakis, P. Flocchini, & S. Leonardi (Eds.), . https://doi.org/10.4230/lipics.icalp.2019.140
Outputs (237)
Mobile Phone-Based Device for Personalised Tutorials of 3D Printer Assembly (2019)
Book Chapter
Li, X., Chen, W., Zhou, Y., Athalye, S., Chin, W. K. D., Goh Wei Kit, R., …Hansen, P. (2019). Mobile Phone-Based Device for Personalised Tutorials of 3D Printer Assembly. In Human-Computer Interaction. Recognition and Interaction Technologies. https://doi.org/10.1007/978-3-030-22643-5_4
ECG-based affective computing for difficulty level prediction in Intelligent Tutoring Systems (2019)
Presentation / Conference Contribution
Alqahtani, F., Katsigiannis, S., & Ramzan, N. (2019). ECG-based affective computing for difficulty level prediction in Intelligent Tutoring Systems. . https://doi.org/10.1109/ucet.2019.8881872
An Arbitrary Precision Scaling and Squaring Algorithm for the Matrix Exponential (2019)
Journal Article
Fasi, M., & Higham, N. J. (2019). An Arbitrary Precision Scaling and Squaring Algorithm for the Matrix Exponential. SIAM Journal on Matrix Analysis and Applications, 40(4), https://doi.org/10.1137/18m1228876
A General Transductive Regularizer for Zero-Shot Learning (2019)
Presentation / Conference Contribution
Mao, H., Zhang, H., Long, Y., Wang, S., & Yang, L. (2019). A General Transductive Regularizer for Zero-Shot Learning.
ARRoW: automatic runtime reappraisal of weights for self-adaptation (2019)
Presentation / Conference Contribution
Paucar, L. H. G., Bencomo, N., & Yuen, K. K. F. (2019). ARRoW: automatic runtime reappraisal of weights for self-adaptation. In C. Hung, & G. A. Papadopoulos (Eds.), . https://doi.org/10.1145/3297280.3299743
Optimality of the Paterson-Stockmeyer Method for Evaluating Matrix Polynomials and Rational Matrix Functions (2019)
Journal Article
Fasi, M. (2019). Optimality of the Paterson-Stockmeyer Method for Evaluating Matrix Polynomials and Rational Matrix Functions. Linear Algebra and its Applications, 574, https://doi.org/10.1016/j.laa.2019.04.001
FAT-WSN: A Non Destructive and Secure Aggregation Strategy for Energy Saving in WSN (2019)
Presentation / Conference Contribution
Ma, D., Han, G., Xiao, A., Hu, Y., Ahmed, S. H., Aujla, G. S., & Cao, H. (2019). FAT-WSN: A Non Destructive and Secure Aggregation Strategy for Energy Saving in WSN. . https://doi.org/10.1109/gcwkshps45667.2019.9024492
Computing Primary Solutions of Equations Involving Primary Matrix Functions (2019)
Journal Article
Fasi, M., & Iannazzo, B. (2019). Computing Primary Solutions of Equations Involving Primary Matrix Functions. Linear Algebra and its Applications, 560, 17-42. https://doi.org/10.1016/j.laa.2018.09.010
Apparel-based deep learning system design for apparel style recommendation (2019)
Journal Article
Guan, C., Qin, S., & Long, Y. (2019). Apparel-based deep learning system design for apparel style recommendation. International Journal of Clothing Science and Technology, 31(3), 376-389. https://doi.org/10.1108/ijcst-02-2018-0019