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Yuval Elovici

Showing results (11-20 of 20) with videos related to

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Sensors (Basel, Switzerland)|April 28, 2023
Information Security Threats and Working from Home Culture: Taxonomy, Risk Assessment and SolutionsJaidip Kotak, Edan Habler, Oleg Brodt, et al.
Sensors (Basel, Switzerland)|November 3, 2020
Spoofing Attack on Ultrasonic Distance Sensors Using a Continuous SignalTomer Gluck, Moshe Kravchik, Samuel Chocron, et al.
Nature Biotechnology|November 28, 2020
Increased cyber-biosecurity for DNA synthesisRami Puzis, Dor Farbiash, Oleg Brodt, et al.
Artificial Intelligence in Medicine|May 1, 2017
Inter-labeler and intra-labeler variability of condition severity classification models using active and passive learning methodsNir Nissim, Yuval Shahar, Yuval Elovici, et al.
Data in Brief|September 19, 2019
Memory snapshot dataset of a compromised host with malware using obfuscation evasion techniquesIbrahim Sadek, Penny Chong, Shafiq Ul Rehman, et al.
Sensors (Basel, Switzerland)|June 10, 2022
RadArnomaly: Protecting Radar Systems from Data Manipulation AttacksShai Cohen, Efrat Levy, Avi Shaked, et al.
IEEE Transactions on Neural Networks and Learning Systems|May 11, 2022
BENN: Bias Estimation Using a Deep Neural NetworkAmit Giloni, Edita Grolman, Tanja Hagemann, et al.
Data in Brief|August 3, 2019
Datasets of RT spoofing attacks on MIL-STD-1553 communication trafficRan Yahalom, David Barishev, Alon Steren, et al.
Journal of Biomedical Informatics|March 27, 2016
Improving condition severity classification with an efficient active learning based frameworkNir Nissim, Mary Regina Boland, Nicholas P Tatonetti, et al.
Communications Biology|June 27, 2019
Combined network analysis and machine learning allows the prediction of metabolic pathways from tomato metabolomics dataDavid Toubiana, Rami Puzis, Lingling Wen, et al.
Pageof 2

Showing results (11-20 of 20) with videos related to

Sort By:
Pageof 2
You have reached the last page of results.This site can display upto 20 results.
Sensors (Basel, Switzerland)|April 28, 2023
Information Security Threats and Working from Home Culture: Taxonomy, Risk Assessment and SolutionsJaidip Kotak, Edan Habler, Oleg Brodt, et al.
Sensors (Basel, Switzerland)|November 3, 2020
Spoofing Attack on Ultrasonic Distance Sensors Using a Continuous SignalTomer Gluck, Moshe Kravchik, Samuel Chocron, et al.
Nature Biotechnology|November 28, 2020
Increased cyber-biosecurity for DNA synthesisRami Puzis, Dor Farbiash, Oleg Brodt, et al.
Artificial Intelligence in Medicine|May 1, 2017
Inter-labeler and intra-labeler variability of condition severity classification models using active and passive learning methodsNir Nissim, Yuval Shahar, Yuval Elovici, et al.
Data in Brief|September 19, 2019
Memory snapshot dataset of a compromised host with malware using obfuscation evasion techniquesIbrahim Sadek, Penny Chong, Shafiq Ul Rehman, et al.
Sensors (Basel, Switzerland)|June 10, 2022
RadArnomaly: Protecting Radar Systems from Data Manipulation AttacksShai Cohen, Efrat Levy, Avi Shaked, et al.
IEEE Transactions on Neural Networks and Learning Systems|May 11, 2022
BENN: Bias Estimation Using a Deep Neural NetworkAmit Giloni, Edita Grolman, Tanja Hagemann, et al.
Data in Brief|August 3, 2019
Datasets of RT spoofing attacks on MIL-STD-1553 communication trafficRan Yahalom, David Barishev, Alon Steren, et al.
Journal of Biomedical Informatics|March 27, 2016
Improving condition severity classification with an efficient active learning based frameworkNir Nissim, Mary Regina Boland, Nicholas P Tatonetti, et al.
Communications Biology|June 27, 2019
Combined network analysis and machine learning allows the prediction of metabolic pathways from tomato metabolomics dataDavid Toubiana, Rami Puzis, Lingling Wen, et al.
Pageof 2