Lior Rokach

ORCID

Publication Activity (10 Years)

Years Active: 2001-2024
Publications (10 Years): 174

Top Venues

Publications

Seffi Cohen, Edo Lior, Moshe Bocher, Lior Rokach
Improving severity classification of Hebrew PET-CT pathology reports using test-time augmentation. J. Biomed. Informatics 149 (2024)
Itai Dagan, Roman Vainshtein, Gilad Katz, Lior Rokach
Automated algorithm selection using meta-learning and pre-trained deep convolution neural networks. Inf. Fusion 105 (2024)
Moran Beladev, Gilad Katz, Lior Rokach, Uriel Singer, Kira Radinsky
GraphERT- Transformers-based Temporal Dynamic Graph Embedding. CIKM (2023)
Seffi Cohen, Niv Goldshlager, Bracha Shapira, Lior Rokach
TTANAD: Test-Time Augmentation for Network Anomaly Detection. Entropy 25 (5) (2023)
Maxim Bragilovski, Zahi Kapri, Lior Rokach, Shelly Levy-Tzedek
TLTD: Transfer Learning for Tabular Data. Appl. Soft Comput. 147 (2023)
Inbal Roshanski, Meir Kalech, Lior Rokach
Automatic Feature Engineering for Learning Compact Decision Trees. Expert Syst. Appl. 229 (Part A) (2023)
Seffi Cohen, Niv Goldshlager, Lior Rokach, Bracha Shapira
Boosting anomaly detection using unsupervised diverse test-time augmentation. Inf. Sci. 626 (2023)
Tamar Didi, Ido Guy, Amit Livne, Arnon Dagan, Lior Rokach, Bracha Shapira
Promoting Tail Item Recommendations in E-Commerce. UMAP (2023)
Seffi Cohen, Dan Presil, Or Katz, Ofir Arbili, Shvat Messica, Lior Rokach
Enhancing social network hate detection using back translation and GPT-3 augmentations during training and test-time. Inf. Fusion 99 (2023)
Tzvi Lederer, Gallil Maimon, Lior Rokach
Silent Killer: Optimizing Backdoor Trigger Yields a Stealthy and Powerful Data Poisoning Attack. CoRR (2023)
Liat Antwarg, Chen Galed, Nathaniel Shimoni, Lior Rokach, Bracha Shapira
Shapley-based feature augmentation. Inf. Fusion 96 (2023)
Adva Hadrian, Roman Vainshtein, Bracha Shapira, Lior Rokach
DeepCAN: Hybrid Method for Road Type Classification Using Vehicle Sensor Data for Smart Autonomous Mobility. IEEE Trans. Intell. Transp. Syst. 24 (11) (2023)
Bar Vered, Guy Shtar, Lior Rokach, Bracha Shapira
AMFPMC - An improved method of detecting multiple types of drug-drug interactions using only known drug-drug interactions. CoRR (2023)
Ariel Bar, Bracha Shapira, Lior Rokach
Context aware Markov chains models. Knowl. Based Syst. 282 (2023)
Amiel Meiseles, Yair Motro, Lior Rokach, Jacob Moran-Gilad
Vulnerability of pangolin SARS-CoV-2 lineage assignment to adversarial attack. Artif. Intell. Medicine 146 (2023)
Amiel Meiseles, Denis Paley, Mira Ziv, Yarin Hadid, Lior Rokach, Tamar Tadmor
Explainable machine learning for chronic lymphocytic leukemia treatment prediction using only inexpensive tests. Comput. Biol. Medicine 145 (2022)
Chen Yanai, Adir Solomon, Gilad Katz, Bracha Shapira, Lior Rokach
Q-Ball: Modeling Basketball Games Using Deep Reinforcement Learning. AAAI (2022)
Moti Cohen, Lior Rokach, Rami Puzis
Cross Version Defect Prediction with Class Dependency Embeddings. CoRR (2022)
Ben Nassi, Jacob Shams, Lior Rokach, Yuval Elovici
Virtual Breathalyzer: Towards the Detection of Intoxication Using Motion Sensors of Commercial Wearable Devices. Sensors 22 (9) (2022)
Adir Solomon, Michael Michaelshvili, Ron Bitton, Bracha Shapira, Lior Rokach, Rami Puzis, Asaf Shabtai
Contextual security awareness: A context-based approach for assessing the security awareness of users. Knowl. Based Syst. 246 (2022)
Adir Solomon, Mor Kertis, Bracha Shapira, Lior Rokach
A deep learning framework for predicting burglaries based on multiple contextual factors. Expert Syst. Appl. 199 (2022)
Guy Shtar, Asnat Greenstein-Messica, Eyal Mazuz, Lior Rokach, Bracha Shapira
Predicting drug characteristics using biomedical text embedding. BMC Bioinform. 23 (1) (2022)
Yael Mathov, Lior Rokach, Yuval Elovici
Enhancing real-world adversarial patches through 3D modeling of complex target scenes. Neurocomputing 499 (2022)
Yarden Rotem, Nathaniel Shimoni, Lior Rokach, Bracha Shapira
Transfer learning for time series classification using synthetic data generation. CoRR (2022)
Shir Chorev, Philip Tannor, Dan Ben Israel, Noam Bressler, Itay Gabbay, Nir Hutnik, Jonatan Liberman, Matan Perlmutter, Yurii Romanyshyn, Lior Rokach
Deepchecks: A Library for Testing and Validating Machine Learning Models and Data. J. Mach. Learn. Res. 23 (2022)
Noy Cohen-Shapira, Lior Rokach
Learning dataset representation for automatic machine learning algorithm selection. Knowl. Inf. Syst. 64 (10) (2022)
Guy Shtar, Lior Rokach, Bracha Shapira, Elkana Kohn, Matitiahu Berkovitch, Maya Berlin
Explainable multimodal machine learning model for classifying pregnancy drug safety. Bioinform. 38 (4) (2022)
Gal Rozenfeld, Meir Kalech, Lior Rokach
Active-learning-based reconstruction of circuit model. Appl. Intell. 52 (5) (2022)
Eli Simhayev, Gilad Katz, Lior Rokach
Integrated prediction intervals and specific value predictions for regression problems using neural networks. Knowl. Based Syst. 247 (2022)
Gallil Maimon, Lior Rokach
A universal adversarial policy for text classifiers. Neural Networks 153 (2022)
Adir Solomon, Bracha Shapira, Lior Rokach
Predicting application usage based on latent contextual information. Comput. Commun. 192 (2022)
Gallil Maimon, Lior Rokach
A Universal Adversarial Policy for Text Classifiers. CoRR (2022)
Shir Chorev, Philip Tannor, Dan Ben Israel, Noam Bressler, Itay Gabbay, Nir Hutnik, Jonatan Liberman, Matan Perlmutter, Yurii Romanyshyn, Lior Rokach
Deepchecks: A Library for Testing and Validating Machine Learning Models and Data. CoRR (2022)
Yarden Rotem, Nathaniel Shimoni, Lior Rokach, Bracha Shapira
Transfer Learning for Time Series Classification Using Synthetic Data Generation. CSCML (2022)
Amit Livne, Eliad Shem Tov, Adir Solomon, Achiya Elyasaf, Bracha Shapira, Lior Rokach
Evolving context-aware recommender systems with users in mind. Expert Syst. Appl. 189 (2022)
Ori Or-Meir, Aviad Cohen, Yuval Elovici, Lior Rokach, Nir Nissim
Pay Attention: Improving Classification of PE Malware Using Attention Mechanisms Based on System Call Analysis. IJCNN (2021)
Ishai Rosenberg, Asaf Shabtai, Yuval Elovici, Lior Rokach
Adversarial Machine Learning Attacks and Defense Methods in the Cyber Security Domain. ACM Comput. Surv. 54 (5) (2021)
Shani Cohen, Lior Rokach, Yair Motro, Jacob Moran-Gilad, Isana Veksler-Lublinsky
minMLST: machine learning for optimization of bacterial strain typing. Bioinform. 37 (3) (2021)
Omer Sagi, Lior Rokach
Approximating XGBoost with an interpretable decision tree. Inf. Sci. 572 (2021)
Seffi Cohen, Noa Dagan, Nurit Cohen-Inger, Dan Ofer, Lior Rokach
ICU Survival Prediction Incorporating Test-Time Augmentation to Improve the Accuracy of Ensemble-Based Models. IEEE Access 9 (2021)
Yoni Cohen, Gilad Katz, Lior Rokach
F-PENN - Forest path encoding for neural networks. Inf. Fusion 75 (2021)
Itay Hazan, Oded Margalit, Lior Rokach
Supporting unknown number of users in keystroke dynamics models. Knowl. Based Syst. 221 (2021)
Shir Kashi, Ronit Feingold Polak, Boaz Lerner, Lior Rokach, Shelly Levy-Tzedek
A Machine-Learning Model for Automatic Detection of Movement Compensations in Stroke Patients. IEEE Trans. Emerg. Top. Comput. 9 (3) (2021)
Nir Regev, Lior Rokach, Asaf Shabtai
Approximating Aggregated SQL Queries with LSTM Networks. IJCNN (2021)
Noy Cohen-Shapira, Lior Rokach
Automatic selection of clustering algorithms using supervised graph embedding. Inf. Sci. 577 (2021)
Adir Solomon, Amit Livne, Gilad Katz, Bracha Shapira, Lior Rokach
Analyzing movement predictability using human attributes and behavioral patterns. Comput. Environ. Urban Syst. 87 (2021)
Yael Mathov, Lior Rokach, Yuval Elovici
Enhancing Real-World Adversarial Patches with 3D Modeling Techniques. CoRR (2021)
Seffi Cohen, Niv Goldshlager, Lior Rokach, Bracha Shapira
Boosting Anomaly Detection Using Unsupervised Diverse Test-Time Augmentation. CoRR (2021)
Amit Livne, Roy Dor, Bracha Shapira, Lior Rokach
BNN: Boosting Neural Network Framework Utilizing Limited Amount of Data. CIKM (2021)
Itay Gabbay, Bracha Shapira, Lior Rokach
Isolation forests and landmarking-based representations for clustering algorithm recommendation using meta-learning. Inf. Sci. 574 (2021)
Liat Antwarg, Ronnie Mindlin Miller, Bracha Shapira, Lior Rokach
Explaining anomalies detected by autoencoders using Shapley Additive Explanations. Expert Syst. Appl. 186 (2021)
Ishai Rosenberg, Asaf Shabtai, Yuval Elovici, Lior Rokach
Sequence Squeezing: A Defense Method Against Adversarial Examples for API Call-Based RNN Variants. IJCNN (2021)
Noy Cohen-Shapira, Lior Rokach
TRIO: Task-agnostic dataset representation optimized for automatic algorithm selection. ICDM (2021)
Asnat Greenstein-Messica, Roman Vainshtein, Gilad Katz, Bracha Shapira, Lior Rokach
Automatic Machine Learning Derived from Scholarly Big Data. CoRR (2020)
Amit Livne, Eliad Shem Tov, Adir Solomon, Achiya Elyasaf, Bracha Shapira, Lior Rokach
Evolving Context-Aware Recommender Systems With Users in Mind. CoRR (2020)
Nir Regev, Lior Rokach, Asaf Shabtai
Approximating Aggregated SQL Queries With LSTM Networks. CoRR (2020)
Adir Solomon, Amit Magen, Simo Hanouna, Mor Kertis, Bracha Shapira, Lior Rokach
Crime Linkage Based on Textual Hebrew Police Reports Utilizing Behavioral Patterns. CIKM (2020)
Ishai Rosenberg, Asaf Shabtai, Yuval Elovici, Lior Rokach
Adversarial Learning in the Cyber Security Domain. CoRR (2020)
Noy Cohen-Shapira, Lior Rokach
Automatic selection of clustering algorithms using supervised graph embedding. CoRR (2020)
Asnat Greenstein-Messica, Lior Rokach
Machine learning and operation research based method for promotion optimization of products with no price elasticity history. Electron. Commer. Res. Appl. 40 (2020)
Ishai Rosenberg, Asaf Shabtai, Yuval Elovici, Lior Rokach
Query-Efficient Black-Box Attack Against Sequence-Based Malware Classifiers. ACSAC (2020)
Hen Tzaban, Ido Guy, Asnat Greenstein-Messica, Arnon Dagan, Lior Rokach, Bracha Shapira
Product Bundle Identification using Semi-Supervised Learning. SIGIR (2020)
Hagit Grushka-Cohen, Ofer Biller, Oded Sofer, Lior Rokach, Bracha Shapira
Using Bandits for Effective Database Activity Monitoring. PAKDD (2) (2020)
Itay Hazan, Oded Margalit, Lior Rokach
Keystroke dynamics obfuscation using key grouping. Expert Syst. Appl. 143 (2020)
Doron Laadan, Roman Vainshtein, Yarden Curiel, Gilad Katz, Lior Rokach
MetaTPOT: Enhancing A Tree-based Pipeline Optimization Tool Using Meta-Learning. CIKM (2020)
Sigal Shaked, Amos Zamir, Roman Vainshtein, Moshe Unger, Lior Rokach, Rami Puzis, Bracha Shapira
Sequence Preserving Network Traffic Generation. CoRR (2020)
Moran Beladev, Lior Rokach, Gilad Katz, Ido Guy, Kira Radinsky
tdGraphEmbed: Temporal Dynamic Graph-Level Embedding. CIKM (2020)
Eli Simhayev, Gilad Katz, Lior Rokach
PIVEN: A Deep Neural Network for Prediction Intervals with Specific Value Prediction. CoRR (2020)
Ben Nassi, Lior Rokach, Yuval Elovici
The Age of Testifying Wearable Devices: The Case of Intoxication Detection. IACR Cryptol. ePrint Arch. 2020 (2020)
Omer Sagi, Lior Rokach
Explainable decision forest: Transforming a decision forest into an interpretable tree. Inf. Fusion 61 (2020)
Hagit Grushka-Cohen, Raphael Cohen, Bracha Shapira, Jacob Moran-Gilad, Lior Rokach
A framework for optimizing COVID-19 testing policy using a Multi Armed Bandit approach. CoRR (2020)
Amit Livne, Roy Dor, Eyal Mazuz, Tamar Didi, Bracha Shapira, Lior Rokach
Iterative Boosting Deep Neural Networks for Predicting Click-Through Rate. CoRR (2020)
Ido Tam, Meir Kalech, Lior Rokach, Eyal Madar, Jacob Bortman, Renata Klein
Probability-Based Algorithm for Bearing Diagnosis with Untrained Spall Sizes. Sensors 20 (5) (2020)
Sergio González, Salvador García, Javier Del Ser, Lior Rokach, Francisco Herrera
A practical tutorial on bagging and boosting based ensembles for machine learning: Algorithms, software tools, performance study, practical perspectives and opportunities. Inf. Fusion 64 (2020)
Sigal Shaked, Lior Rokach
PrivGen: Preserving Privacy of Sequences Through Data Generation. CoRR (2020)
Victor Makarenkov, Lior Rokach
Lessons Learned from Applying off-the-shelf BERT: There is no Silver Bullet. CoRR (2020)
Amiel Meiseles, Ishai Rosenberg, Yair Motro, Lior Rokach, Jacob Moran-Gilad
Adversarial Vulnerability of Deep Learning Models in Analyzing Next Generation Sequencing Data. BIBM (2020)
Amiel Meiseles, Lior Rokach
Source Model Selection for Deep Learning in the Time Series Domain. IEEE Access 8 (2020)
Yuval Heffetz, Roman Vainshtein, Gilad Katz, Lior Rokach
DeepLine: AutoML Tool for Pipelines Generation using Deep Reinforcement Learning and Hierarchical Actions Filtering. KDD (2020)
Adam Kubany, Shimon Ben Ishay, Ruben-sacha Ohayon, Armin Shmilovici, Lior Rokach, Tomer Doitshman
Comparison of state-of-the-art deep learning APIs for image multi-label classification using semantic metrics. Expert Syst. Appl. 161 (2020)
Adam Kubany, Shimon Ben Ishay, Ruben-sacha Ohayon, Armin Shmilovici, Lior Rokach, Tomer Doitshman
Semantic Comparison of State-of-the-Art Deep Learning Methods for Image Multi-Label Classification. CoRR (2019)
Nir Nissim, Aviad Cohen, Jian Wu, Andrea Lanzi, Lior Rokach, Yuval Elovici, C. Lee Giles
Sec-Lib: Protecting Scholarly Digital Libraries From Infected Papers Using Active Machine Learning Framework. IEEE Access 7 (2019)
Itay Hazan, Oded Margalit, Lior Rokach
Securing keystroke dynamics from replay attacks. Appl. Soft Comput. 85 (2019)
Guy Shtar, Bracha Shapira, Lior Rokach
Clustering Wi-Fi Fingerprints for Indoor-Outdoor Detection. CoRR (2019)
Victor Makarenkov, Ido Guy, Niva Hazon, Tamar Meisels, Bracha Shapira, Lior Rokach
Implicit dimension identification in user-generated text with LSTM networks. Inf. Process. Manag. 56 (5) (2019)
Victor Makarenkov, Ido Guy, Niva Hazon, Tamar Meisels, Bracha Shapira, Lior Rokach
Implicit Dimension Identification in User-Generated Text with LSTM Networks. CoRR (2019)
Philip Tannor, Lior Rokach
AugBoost: Gradient Boosting Enhanced with Step-Wise Feature Augmentation. IJCAI (2019)
Michael Shekasta, Gilad Katz, Asnat Greenstein-Messica, Lior Rokach, Bracha Shapira
New Item Consumption Prediction Using Deep Learning. CoRR (2019)
Guy Shtar, Bracha Shapira, Lior Rokach
Clustering Wi-Fi fingerprints for indoor-outdoor detection. Wirel. Networks 25 (3) (2019)
Eran Fainman, Bracha Shapira, Lior Rokach, Yisroel Mirsky
Online Budgeted Learning for Classifier Induction. CoRR (2019)
Ori Or-Meir, Nir Nissim, Yuval Elovici, Lior Rokach
Dynamic Malware Analysis in the Modern Era - A State of the Art Survey. ACM Comput. Surv. 52 (5) (2019)
Roman Vainshtein, Gilad Katz, Bracha Shapira, Lior Rokach
Assessing the Quality of Scientific Papers. CoRR (2019)
Ishai Rosenberg, Asaf Shabtai, Yuval Elovici, Lior Rokach
Defense Methods Against Adversarial Examples for Recurrent Neural Networks. CoRR (2019)
Victor Makarenkov, Lior Rokach, Bracha Shapira
Choosing the right word: Using bidirectional LSTM tagger for writing support systems. Eng. Appl. Artif. Intell. 84 (2019)
Abraham Israeli, Lior Rokach, Asaf Shabtai
Constraint learning based gradient boosting trees. Expert Syst. Appl. 128 (2019)
Liat Antwarg, Bracha Shapira, Lior Rokach
Explaining Anomalies Detected by Autoencoders Using SHAP. CoRR (2019)
Noy Cohen-Shapira, Lior Rokach, Bracha Shapira, Gilad Katz, Roman Vainshtein
AutoGRD: Model Recommendation Through Graphical Dataset Representation. CIKM (2019)
Nir Nissim, Omri Lahav, Aviad Cohen, Yuval Elovici, Lior Rokach
Volatile memory analysis using the MinHash method for efficient and secured detection of malware in private cloud. Comput. Secur. 87 (2019)
Victor Makarenkov, Lior Rokach, Bracha Shapira
Choosing the Right Word: Using Bidirectional LSTM Tagger for Writing Support Systems. CoRR (2019)
Saar Tal, Bracha Shapira, Lior Rokach
Personal Dynamic Cost-Aware Sensing for Latent Context Detection. CoRR (2019)

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Publication Activity (10 Years)

Top Topics

Top Venues

Lior Rokach