- Y. Yankelevsky and M. Elad, Dual Graph Regularized Dictionary Learning, IEEE Transactions on Signal and Information Processing over Networks, vol. 2, no. 4, p. 611-624, 2016. [pdf][code]
- Y. Yankelevsky, I. Shvartz, T. Avraham and A. M. Bruckstein, Depth Perception in Autostereograms: 1/f-Noise is Best, Journal of the Optical Society of America A, vol. 33, no. 2, p. 149-159, 2016. [pdf]
- Y. Yankelevsky and A. M. Bruckstein, On Optimal Disc Covers and a New Characterization of the Steiner Center, Computational Geometry: Theory and Applications, vol. 52, p. 1-8, 2016. [pdf]
- Y. Yankelevsky, Z. Friedman and A. Feuer , Component-Based Modeling and Processing of Medical Ultrasound Signals, IEEE Transactions on Signal Processing, vol. 65, no. 21, p. 5743-5755, 2017. [pdf]
- Y. Yankelevsky and M. Elad, Dictionary Learning for High Dimensional Graph Signals, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Calgary, Canada, April 2018.
- Y. Yankelevsky and M. Elad, Structure-Aware Classification using Supervised Dictionary Learning, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), New-Orleans, USA, March 2017, p. 4421-4425. [pdf]
- Y. Yankelevsky and M. Elad, Graph-Constrained Supervised Dictionary Learning for Multi-Label Classification, IEEE International Conference on the Science of Electrical Engineering (ICSEE), Nov. 2016. [pdf]
- Y. Yankelevsky, A. Feuer and Z. Friedman, Decomposition-Based Compression of Ultrasound Raw-Data, 12th International Conference on Latent Variable Analysis and Signal Separation (LVA/ICA), Springer International Publishing, Liberec, Czech Republic, Aug. 2015, p. 522-529. [pdf]