ד"ר אמיר אדלר

Dr. Amir Adler

מוסד עיקרי

האקדמית להנדסה בראודה כרמיאל

Braude College Of Engineering Carmiel

דוא״ל

adleram@braude.ac.il

דיסציפלינות ראשיותMain Disciplines

Computer Sciences, Engineering, Electrical and Systems

דיסציפלינות משניותSecondary Disciplines

Artificial Intelligence, Deep Learning, Machine Learning, Natural Language Processing, Signal Processing

פרסומים ויצירות עיקריים / עדכנייםMain / Recent Publications

Mati Wax, Amir Adler, FIR-SIMO channel order determination by invariant-signal-subspace matching, Digital Signal Processing, Volume 134, 2023, 103914
M. Wax and A. Adler, "Vector Set Classification by Signal Subspace Matching," in IEEE Transactions on Information Theory, vol. 69, no. 3, pp. 1853-1865, March 2023
Luciano Drozda, Pavanakumar Mohanamuraly, Lionel Cheng, Corentin Lapeyre, Guillaume Daviller, Yuval Realpe, Amir Adler, Gabriel Staffelbach, Thierry Poinsot,
Learning an optimised stable Taylor-Galerkin convection scheme based on a local spectral model for the numerical error dynamics, Journal of Computational Physics, Volume 493, 2023, 112430
Gelboim, M.; Adler, A.; Sun, Y.; Araya-Polo, M. Encoder–Decoder Architecture for 3D Seismic Inversion. Sensors 2023, 23, 61.
Tomer Wullach, Amir Adler, Einat Minkov, Character-level HyperNetworks for Hate Speech Detection, Expert Systems with Applications, Volume 205, 2022, 117571
Mati Wax, Amir Adler, Direction of arrival estimation in the presence of model errors by signal subspace matching, Signal Processing, Volume 181, 2021
T. Wullach, A. Adler and E. Minkov, "Towards Hate Speech Detection at Large via Deep Generative Modeling," in IEEE Internet Computing, vol. 25, no. 2, pp. 48-57, 1 March-April 2021,
Pantazis, D.; Adler, A. MEG Source Localization via Deep Learning. Sensors 2021, 21, 4278.
M. Wax and A. Adler, "Subspace-Constrained Array Response Estimation in the Presence of Model Errors," in IEEE Transactions on Signal Processing, vol. 69, pp. 417-427, 2021,
M. Wax and A. Adler, "Localization of Multiple Sources in the Presence of Model Errors by Total Least Squares," in IEEE Transactions on Aerospace and Electronic Systems, vol. 57, no. 3, pp. 1949-1955, June 2021
M. Wax and A. Adler, "Detection of the Number of Signals by Signal Subspace Matching," in IEEE Transactions on Signal Processing, vol. 69, pp. 973-985, 2021
A. Adler, M. Araya-Polo and T. Poggio, "Deep Learning for Seismic Inverse Problems: Toward the Acceleration of Geophysical Analysis Workflows," in IEEE Signal Processing Magazine, vol. 38, no. 2, pp. 89-119, March 2021
M. Wax, A. Adler, "Localization of multiple sources with known waveforms by array response matching", Signal Processing, Volume 177, 2020.
Araya-Polo M., Adler A., Farris S., Jennings J. (2020) Fast and Accurate Seismic Tomography via Deep Learning. In: Pedrycz W., Chen SM. (eds) Deep Learning: Algorithms and Applications. Studies in Computational Intelligence, vol 865. Springer, Cham.
A. Adler and M. Wax, "Blind Constant Modulus Multiuser Detection via Low-Rank Approximation," in IEEE Signal Processing Letters, vol. 26, no. 9, pp. 1290-1294, Sept. 2019.
M. Araya-Polo, J. Jennings, A. Adler, T. Dahlke, "Deep Learning Tomography", The Leading Edge, 37(1), pp. 58-66, 2018.
A. Adler, V. Emiya, M. G. Jafari, M. Elad, R. Gribonval and M. D. Plumbley, "Audio Inpainting," in IEEE Transactions on Audio, Speech, and Language Processing, vol. 20, no. 3, pp. 922-932, March 2012.

מענקים ופרסים | Grants and Awards

Facebook Research

Hate Speech Detection via Deep Learning from Very Large Datasets

Total Exploration & Production

Deep Learning for Inverse Problems