Research output per year
Research output per year
Organization profile
Organisation profile
The faculty of engineering at Bar Ilan university has several researchers and labs collaborating on research in the realm of Signal Processing:
Signal Processing, Information Networks & Radio Astronomy Lab (SPIRAL)
The group is headed by Prof. Amir Leshem at the Faculty of Engineering, Bar-Ilan University. The group studies several topics, including signal processing for communication and networking, radio astronomical image formation, applications of game theory for networks and information processing in social networks.
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Profiles
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Fetaya Ethan
- Bar-Ilan University, Bar-Ilan University - The Alexander Kofkin Faculty of Engineering - Senior Lecturer
- Bar-Ilan University, Signal Processing (BIU Engineering)
Person: Researcher, Academic
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Goldberger Jacob
- Bar-Ilan University, Department of Computer Science - Full Professor
- Bar-Ilan University, Bar-Ilan University - The Alexander Kofkin Faculty of Engineering - Full Professor
- Bar-Ilan University, DSAI - Data Science & AI Institute
- Bar-Ilan University, The BIU Center for Research in Applied Cryptography and Cyber Security
- Bar-Ilan University, Signal Processing (BIU Engineering)
Person: Researcher, Academic
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Keller Yosi
- Bar-Ilan University, Bar-Ilan University - The Alexander Kofkin Faculty of Engineering - Associate Professor
- Bar-Ilan University, Signal Processing (BIU Engineering)
Person: Researcher, Academic
Research output
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Electromyographic typing gesture classification dataset for neurotechnological human-machine interfaces
Eby, J., Beutel, M., Koivisto, D., Achituve, I., Fetaya, E. & Zariffa, J., 15 Mar 2025, In: Scientific data. 12, 1, 440.Research output: Contribution to journal › Article › peer-review
Open Access -
Bayesian Uncertainty for Gradient Aggregation in Multi-Task Learning
Achituve, I., Diamant, I., Netzer, A., Chechik, G. & Fetaya, E., 2024, In: Proceedings of Machine Learning Research. 235, p. 117-134 18 p.Research output: Contribution to journal › Conference article › peer-review
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Deep Convolutional Tables: Deep Learning Without Convolutions
Dekel, S., Keller, Y. & Bar-Hillel, A., Oct 2024, In: IEEE Transactions on Neural Networks and Learning Systems. 35, 10, p. 1-13 13 p.Ben-Gurion University of the Negev, Bar-Ilan University
Research output: Contribution to journal › Article › peer-review
Open Access