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Neural Networks : the Official Journal of the International Neural Network Society|November 13, 2022
Improving malicious email detection through novel designated deep-learning architectures utilizing entire emailTrivikram Muralidharan, Nir NissimArtificial Intelligence in Medicine|September 20, 2025
Mining multi-electrode and multi-wave electroencephalogram based time-interval temporal patterns for improved classification capabilities and explainabilityOfir Landau, Nir NissimJournal of Biomedical Informatics|June 16, 2019
Keep an eye on your personal belongings! The security of personal medical devices and their ecosystemsMatan Kintzlinger, Nir NissimComputers in Biology and Medicine|July 15, 2025
Can your brain signals reveal your romantic emotions?Dor Zazon, Nir NissimComputers in Biology and Medicine|August 17, 2025
Improving speech emotion recognition capabilities in the short and long term using temporal bucketing and active learningItzik Gurowiec, Nir NissimNeural Networks : the Official Journal of the International Neural Network Society|October 17, 2021
Deep-Hook: A trusted deep learning-based framework for unknown malware detection and classification in Linux cloud environmentsTom Landman, Nir NissimNeural Networks : the Official Journal of the International Neural Network Society|August 8, 2020
ASSAF: Advanced and Slim StegAnalysis Detection Framework for JPEG images based on deep convolutional denoising autoencoder and Siamese networksAssaf Cohen, Aviad Cohen, Nir NissimNeural Networks : the Official Journal of the International Neural Network Society|February 7, 2020
Deep feature transfer learning for trusted and automated malware signature generation in private cloud environmentsDaniel Nahmias, Aviad Cohen, Nir Nissim, et al.Artificial Intelligence in Medicine|November 26, 2021
Cardio-ML: Detection of malicious clinical programmings aimed at cardiac implantable electronic devices based on machine learning and a missing values resemblance frameworkTamar Levy-Loboda, Moshe Rav-Acha, Amos Katz, 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.Pageof 2