L. Rokach

Rami Puzis, Lior Rokach, Yuval Elovici, 2011, 2011 IEEE Third Int'l Conference on Privacy, Security, Risk and Trust and 2011 IEEE Third Int'l Conference on Social Computing.

Clustering Wi-Fi fingerprints for indoor–outdoor detection

Lior Rokach, Bracha Shapira, Guy Shtar, 2018, Wireless Networks.

Pattern Classification Using Ensemble Methods

Lior Rokach, L. Rokach, 2009, Series in Machine Perception and Artificial Intelligence.

Using Fuzzy Logic in Data Mining

Lior Rokach, L. Rokach, 2010, Data Mining and Knowledge Discovery Handbook.

Information Retrieval System for Medical Narrative Reports

Lior Rokach, Oded Maimon, Mordechai Averbuch, 2004, FQAS.

Assessing the Quality of Scientific Papers pdf

Lior Rokach, Bracha Shapira, Gilad Katz, 2019, ArXiv.

Facebook single and cross domain data for recommendation systems

L. Rokach, Bracha Shapira, Sh. Freilikhman, 2013, User Modeling and User-Adapted Interaction.

Context-Sensitive Medical Information Retrieval

Lior Rokach, Tom H. Karson, Oded Maimon, 2004, MedInfo.

Fast Randomized Model Generation for Shapelet-Based Time Series Classification pdf

Lior Rokach, Danny Hendler, Daniel Gordon, 2012, ArXiv.

Using Wikipedia to boost collaborative filtering techniques

Guy Shani, Lior Rokach, Bracha Shapira, 2011, RecSys '11.

Predicting molecular mechanisms of hereditary diseases by using their tissue‐selective manifestation

Chanan M. Argov, L. Rokach, H. Im, 2023, Molecular systems biology.

Approximating Aggregated SQL Queries with LSTM Networks

Lior Rokach, Asaf Shabtai, Nir Regev, 2020, 2021 International Joint Conference on Neural Networks (IJCNN).

Defense Methods Against Adversarial Examples for Recurrent Neural Networks pdf

Lior Rokach, Yuval Elovici, Asaf Shabtai, 2019, ArXiv.

ICU Survival Prediction Incorporating Test-Time Augmentation to Improve the Accuracy of Ensemble-Based Models

Lior Rokach, Noa Dagan, Dan Ofer, 2021, IEEE Access.

Initial Profile Generation in Recommender Systems Using Pairwise Comparison

Slava Kisilevich, Lior Rokach, L. Rokach, 2012, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).

Decomposition Methodology for Knowledge Discovery and Data Mining

Lior Rokach, Oded Maimon, L. Rokach, 2005, The Data Mining and Knowledge Discovery Handbook.

Eliciting domain expert misuseability conceptions

Lior Rokach, Amir Harel, Yuval Elovici, 2011, K-CAP '11.

Machine-learning analysis of factors that shape cancer aneuploidy landscapes reveals an important role for negative selection

L. Rokach, Esti Yeger-Lotem, U. Ben-David, 2023, bioRxiv.

Silent Killer: Optimizing Backdoor Trigger Yields a Stealthy and Powerful Data Poisoning Attack

L. Rokach, Gallil Maimon, Tzvi Lederer, 2023, ArXiv.

Personal price aware multi-seller recommender system: Evidence from eBay

Lior Rokach, Asnat Greenstein-Messica, L. Rokach, 2018, Knowl. Based Syst..

Entity Matching in Online Social Networks

Lior Rokach, Yuval Elovici, Michael Fire, 2013, 2013 International Conference on Social Computing.

Enhancing real-world adversarial patches through 3D modeling of complex target scenes

Lior Rokach, Yuval Elovici, Yael Mathov, 2021, Neurocomputing.

Lessons Learned from Applying off-the-shelf BERT: There is no Silver Bullet pdf

Lior Rokach, Victor Makarenkov, L. Rokach, 2020, ArXiv.

A deep learning framework for predicting burglaries based on multiple contextual factors

L. Rokach, Bracha Shapira, Adir Solomon, 2022, Expert Syst. Appl..

Crime Linkage Based on Textual Hebrew Police Reports Utilizing Behavioral Patterns

L. Rokach, Bracha Shapira, Adir Solomon, 2020, CIKM.

Optimizing Data Misuse Detection

Lior Rokach, Yuval Elovici, Asaf Shabtai, 2014, ACM Trans. Knowl. Discov. Data.

Integrated prediction intervals and specific value predictions for regression problems using neural networks

L. Rokach, Gilad Katz, Eli Simhayev, 2022, Knowl. Based Syst..

Recommender System from Personal Social Networks

Amnon Meisels, Guy Shani, Lior Rokach, 2007, AWIC.

Data Mining for Improving the Quality of Manufacturing: A Feature Set Decomposition Approach

Lior Rokach, Oded Maimon, L. Rokach, 2006, J. Intell. Manuf..

Feature set decomposition for decision trees

Lior Rokach, Oded Maimon, L. Rokach, 2005, Intell. Data Anal..

Preference Elicitation for Group Decisions Using the Borda Voting Rule

L. Rokach, Meir Kalech, Lihi Naamani-Dery, 2015, Group Decision and Negotiation.

Preference Elicitation for Group Decisions

Meir Kalech, Lior Rokach, Lihi Naamani Dery, 2014, GDN.

Meta-learning for Selecting a Multi-label Classification Algorithm

Lior Rokach, Bracha Shapira, Lena Tenenboim-Chekina, 2011, 2011 IEEE 11th International Conference on Data Mining Workshops.

Session-Based Recommendations Using Item Embedding

Lior Rokach, Michael Friedmann, Asnat Greenstein-Messica, 2017, IUI.

Reaction to New Security Threat Class pdf

Lior Rokach, Yuval Elovici, L. Rokach, 2014, ArXiv.

Introduction to Knowledge Discovery and Data Mining

Lior Rokach, Oded Maimon, L. Rokach, 2010, Data Mining and Knowledge Discovery Handbook.

Exploiting label dependencies for improved sample complexity

Lior Rokach, Aryeh Kontorovich, Bracha Shapira, 2013, Machine Learning.

Reaching a joint decision with minimal elicitation of voter preferences

Meir Kalech, Lior Rokach, Bracha Shapira, 2014, Inf. Sci..

Artificial Intelligence - Game Changer in the Teratology Information Service.

L. Rokach, Bracha Shapira, M. Berkovitch, 2020, Reproductive Toxicology.

Tltd: Transfer Learning for Tabular Data

L. Rokach, Maxim Bragilovski, Zahi Kapri, 2023, SSRN Electronic Journal.

Improving malware detection by applying multi-inducer ensemble

Lior Rokach, Yuval Elovici, Asaf Shabtai, 2009, Comput. Stat. Data Anal..

Modeling Graph Database Schema

Lior Rokach, Peretz Shoval, Bracha Shapira, 2017, IT Professional.

Ensemble of Feature Chains for Anomaly Detection

Lior Rokach, Bracha Shapira, Lena Tenenboim-Chekina, 2013, MCS.

Genetic algorithm-based feature set partitioning for classification problems

Lior Rokach, L. Rokach, 2008, Pattern Recognit..

Sec-Lib: Protecting Scholarly Digital Libraries From Infected Papers Using Active Machine Learning Framework

Lior Rokach, Yuval Elovici, Nir Nissim, 2019, IEEE Access.

Scholarly Digital Libraries as a Platform for Malware Distribution

Lior Rokach, Yuval Elovici, C. Lee Giles, 2017, SG-CRC.

Explainable multimodal machine learning model for classifying pregnancy drug safety

L. Rokach, Bracha Shapira, M. Berkovitch, 2021, Bioinform..

Wikipedia-based query performance prediction

Lior Rokach, Oren Kurland, Bracha Shapira, 2014, SIGIR.

RecSys Challenge 2015 and the YOOCHOOSE Dataset

Lior Rokach, Bracha Shapira, Michael Friedmann, 2015, RecSys.

Probability-Based Algorithm for Bearing Diagnosis with Untrained Spall Sizes

Meir Kalech, Lior Rokach, Ido Tam, 2020, Sensors.

HoneyGen: An automated honeytokens generator

Lior Rokach, Yuval Elovici, Asaf Shabtai, 2011, Proceedings of 2011 IEEE International Conference on Intelligence and Security Informatics.

Predicting Student Exam's Scores by Analyzing Social Network Data

Lior Rokach, Yuval Elovici, Bracha Shapira, 2012, AMT.

A classifier to determine which Wikipedia biographies will be accepted

Lior Rokach, Nir Ofek, L. Rokach, 2015, J. Assoc. Inf. Sci. Technol..

Promoting Tail Item Recommendations in E-Commerce

L. Rokach, Bracha Shapira, Ido Guy, 2023, UMAP.

Automatic Feature Engineering for Learning Compact Decision Trees

L. Rokach, Meir Kalech, Inbal Roshanski, 2023, Expert systems with applications.

Cross Version Defect Prediction with Class Dependency Embeddings

L. Rokach, Rami Puzis, Moti Cohen, 2022, ArXiv.

Link Prediction in Social Networks Using Computationally Efficient Topological Features

L. Rokach, Y. Elovici, Rami Puzis, 2011, 2011 IEEE Third Int'l Conference on Privacy, Security, Risk and Trust and 2011 IEEE Third Int'l Conference on Social Computing.

Social Network Based Search for Experts pdf

Lior Rokach, Judit Bar-Ilan, Bracha Shapira, 2012, ArXiv.

Links Reconstruction Attack

Lior Rokach, Yuval Elovici, Michael Fire, 2013 .

Scheduling Meetings by Agents

Amnon Meisels, Lior Rokach, Roie Zivan, 2008 .

Theoretical Categorization of Query Performance Predictors

Lior Rokach, Bracha Shapira, Victor Makarenkov, 2015, ICTIR.

Dependency Tree-Based Rules for Concept-Level Aspect-Based Sentiment Analysis

Lior Rokach, Alexander F. Gelbukh, Amir Hussain, 2014, SemWebEval@ESWC.

Continuous Verification Using Keystroke Dynamics

Lior Rokach, Yuval Elovici, Robert Moskovitch, 2010, 2010 International Conference on Computational Intelligence and Security.

Virtual Breathalyzer: Towards the Detection of Intoxication Using Motion Sensors of Commercial Wearable Devices pdf

Lior Rokach, Yuval Elovici, Ben Nassi, 2016, Sensors.

Recommender Systems: Techniques, Applications, and Challenges

L. Rokach, F. Ricci, Bracha Shapira, 2022, Recommender Systems Handbook.

Low Resource Black-Box End-to-End Attack Against State of the Art API Call Based Malware Classifiers pdf

Lior Rokach, Yuval Elovici, Asaf Shabtai, 2018, ArXiv.

Volatile memory analysis using the MinHash method for efficient and secured detection of malware in private cloud

Lior Rokach, Yuval Elovici, Nir Nissim, 2019, Comput. Secur..

AugBoost: Gradient Boosting Enhanced with Step-Wise Feature Augmentation

Lior Rokach, Philip Tannor, L. Rokach, 2019, IJCAI.

TRIO: Task-agnostic dataset representation optimized for automatic algorithm selection

L. Rokach, Noy Cohen-Shapira, 2021, 2021 IEEE International Conference on Data Mining (ICDM).

Introduction to Information Security

Lior Rokach, Yuval Elovici, Asaf Shabtai, 2012 .

RankML: a Meta Learning-Based Approach for Pre-Ranking Machine Learning Pipelines pdf

Lior Rokach, Gilad Katz, Roman Vainshtein, 2019, ArXiv.

Using Bandits for Effective Database Activity Monitoring

Lior Rokach, Bracha Shapira, Hagit Grushka-Cohen, 2020, PAKDD.

Machine learning and operation research based method for promotion optimization of products with no price elasticity history

Lior Rokach, Asnat Greenstein-Messica, L. Rokach, 2020, Electron. Commer. Res. Appl..

Adapted Features and Instance Selection for Improving Co-training

Lior Rokach, Asaf Shabtai, Gilad Katz, 2014, Interactive Knowledge Discovery and Data Mining in Biomedical Informatics.

An evolutionary algorithm for constructing a decision forest: Combining the classification of disjoints decision trees

Lior Rokach, L. Rokach, 2008, Int. J. Intell. Syst..

Fast and space-efficient shapelets-based time-series classification

Lior Rokach, Danny Hendler, Daniel Gordon, 2015, Intell. Data Anal..

Active learning using pessimistic expectation estimators

Lior Rokach, Armin Shmilovici, Lihi Naamani Dery, 2009, Control. Cybern..

Enhancing social network hate detection using back translation and GPT-3 augmentations during training and test-time

L. Rokach, Dan Presil, Seffi Cohen, 2023, Inf. Fusion.

Using the confusion matrix for improving ensemble classifiers

Lior Rokach, Armin Shmilovici, Nadav David Marom, 2010, 2010 IEEE 26-th Convention of Electrical and Electronics Engineers in Israel.

BNN: Boosting Neural Network Framework Utilizing Limited Amount of Data

Lior Rokach, Bracha Shapira, Amit Livne, 2021, CIKM.

Iterative Boosting Deep Neural Networks for Predicting Click-Through Rate pdf

Lior Rokach, Bracha Shapira, Amit Livne, 2020, ArXiv.

Decision-tree instance-space decomposition with grouped gain-ratio

Lior Rokach, Shahar Cohen, Oded Maimon, 2007, Inf. Sci..

A Direct Learning Approach for Neural Network Based Pre-Distortion for Coherent Nonlinear Optical Transmitter

Lior Rokach, Dan Sadot, Hananel Faig, 2020, Journal of Lightwave Technology.

Recurrent Neural Network for Pre-distortion of Combined Nonlinear Optical Transmitter Impairments with Memory

Lior Rokach, Dan Sadot, Hananel Faig, 2018 .

Machine-learning-based circuit synthesis

Meir Kalech, Gregory M. Provan, Lior Rokach, 2012, 2012 IEEE 27th Convention of Electrical and Electronics Engineers in Israel.

Local-shapelets for fast classification of spectrographic measurements

Lior Rokach, Danny Hendler, Aryeh Kontorovich, 2015, Expert Syst. Appl..

Utilizing transfer learning for in-domain collaborative filtering

Lior Rokach, Bracha Shapira, Ariel Bar, 2016, Knowl. Based Syst..

Correction: CaSTLe - Classification of single cells by transfer learning: Harnessing the power of publicly available single cell RNA sequencing experiments to annotate new experiments

L. Rokach, T. Shay, Yuval Lieberman, 2018, PloS one.

CyberRank: Knowledge Elicitation for Risk Assessment of Database Security

Lior Rokach, Bracha Shapira, Hagit Grushka-Cohen, 2016, CIKM.

Reducing preference elicitation in group decision making

Meir Kalech, Lior Rokach, Bracha Shapira, 2016, Expert Syst. Appl..

minMLST: machine learning for optimization of bacterial strain typing

Lior Rokach, Isana Veksler-Lublinsky, Jacob Moran-Gilad, 2020, Bioinform..

Combining one-class classifiers via meta learning

Lior Rokach, Yuval Elovici, Eitan Menahem, 2011, CIKM.

Data Mining with Decision Trees - Theory and Applications

L. Rokach, O. Maimon, 2007, Series in Machine Perception and Artificial Intelligence.

Pretrained transformer models for predicting the withdrawal of drugs from the market

L. Rokach, Bracha Shapira, Guy Shtar, 2023, Bioinform..

Molecule generation using transformers and policy gradient reinforcement learning

L. Rokach, Bracha Shapira, Guy Shtar, 2023, Scientific reports.

Keystroke dynamics obfuscation using key grouping

Lior Rokach, Itay Hazan, Oded Margalit, 2020, Expert Syst. Appl..

TTANAD: Test-Time Augmentation for Network Anomaly Detection

L. Rokach, Bracha Shapira, Seffi Cohen, 2023, Entropy.

Diversifying Database Activity Monitoring with Bandits pdf

Lior Rokach, Bracha Shapira, Hagit Grushka-Cohen, 2019, ArXiv.

A hybrid approach for improving unsupervised fault detection for robotic systems

Meir Kalech, Lior Rokach, Eliahu Khalastchi, 2017, Expert Syst. Appl..

Sampling High Throughput Data for Anomaly Detection of Data-Base Activity pdf

Lior Rokach, Bracha Shapira, Hagit Grushka-Cohen, 2017, ArXiv.

A hybrid approach for fault detection in autonomous physical agents

Meir Kalech, Lior Rokach, Eliahu Khalastchi, 2014, AAMAS.

Sensor fault detection and diagnosis for autonomous systems

Meir Kalech, Lior Rokach, Eliahu Khalastchi, 2013, AAMAS.

Detection of Deviations in Mobile Applications Network Behavior pdf

Lior Rokach, Yuval Elovici, Bracha Shapira, 2012, ArXiv.

Simulating User Activity for Assessing Effect of Sampling on DB Activity Monitoring Anomaly Detection

Lior Rokach, Bracha Shapira, Hagit Grushka-Cohen, 2018, PADG@ESORICS.

Multi-Layered Model Based Diagnosis in Robots

L. Rokach, Eliahu Khalastchi, Meir Kalech, 2012 .

Random Projection Ensemble Classifiers

Lior Rokach, Alon Schclar, L. Rokach, 2009, ICEIS.

Boosting Simple Collaborative Filtering Models Using Ensemble Methods pdf

Guy Shani, Lior Rokach, Bracha Shapira, 2012, ArXiv.

Applying the Publication Power Approach to Artificial Intelligence Journals

Lior Rokach, L. Rokach, 2012, J. Assoc. Inf. Sci. Technol..

Establishing User Profiles in the MediaScout Recommender System

Amnon Meisels, Guy Shani, Nischal M. Piratla, 2007, 2007 IEEE Symposium on Computational Intelligence and Data Mining.

A Stereotypes-Based Hybrid Recommender System for Media Items

Guy Shani, Lior Rokach, David Ben-Shimon, 2007 .

"Please, Not Now!": A Model for Timing Recommendations

Lior Rokach, Bracha Shapira, Nofar Dali Betzalel, 2015, RecSys.

Ensemble Learning for Alcoholism Classification Using EEG Signals

L. Rokach, Dan Presil, Seffi Cohen, 2023, IEEE Sensors Journal.

Data Clustering Using Almost Parameter Free Differential Evolution Technique

Vinaya Babu, A. Govardhan, Suresh Chandra Satapathy, 2010 .

Auto-Sign: an automatic signature generator for high-speed malware filtering devices

Lior Rokach, Yuval Elovici, Chanan Glezer, 2009, Journal in Computer Virology.

BNN

L. Rokach, Bracha Shapira, Amit Livne, 2021, Proceedings of the 30th ACM International Conference on Information & Knowledge Management.

Sequence Squeezing: A Defense Method Against Adversarial Examples for API Call-Based RNN Variants

L. Rokach, A. Shabtai, Y. Elovici, 2021, IEEE International Joint Conference on Neural Network.

Adversarial Learning in the Cyber Security Domain pdf

ISHAI ROSENBERG, ASAF SHABTAI, YUVAL ELOVICI, 2020, ArXiv.

Limiting disclosure of sensitive data in sequential releases of databases

Lior Rokach, Tamir Tassa, Bracha Shapira, 2012, Inf. Sci..

Query-Efficient GAN Based Black-Box Attack Against Sequence Based Machine and Deep Learning Classifiers

Lior Rokach, Yuval Elovici, Asaf Shabtai, 2018, 1804.08778.

Improving severity classification of Hebrew PET-CT pathology reports using test-time augmentation.

L. Rokach, Seffi Cohen, Edo Lior, 2023, Journal of biomedical informatics.

Clustering Methods

L. Rokach, O. Maimon, 2005, The Data Mining and Knowledge Discovery Handbook.

Generic Black-Box End-to-End Attack against RNNs and Other API Calls Based Malware Classifiers pdf

Lior Rokach, Yuval Elovici, Asaf Shabtai, 2017, ArXiv.

Context based Recommendation Methods: A Brief Review

Arati R. Deshpande, M Emmanuel, L. Rokach, 2018 .

An ensemble method for top-N recommendations from the SVD

Lior Rokach, Bracha Shapira, David Ben-Shimon, 2016, Expert Syst. Appl..

Anytime Algorithms for Recommendation Service Providers

Guy Shani, Lior Rokach, Bracha Shapira, 2016, ACM Trans. Intell. Syst. Technol..

Fast Item-Based Collaborative Filtering

Guy Shani, Lior Rokach, Bracha Shapira, 2015, ICAART.

Neighborhood Evaluation in Recommender Systems Using the Realization Based Entropy Approach

Lior Rokach, Oded Maimon, Yossi Bukchin, 2014 .

Transfer Learning for Content-Based Recommender Systems Using Tree Matching pdf

Lior Rokach, Armin Shmilovici, Naseem Biadsy, 2013, CD-ARES.

Facebook single and cross domain data for recommendation systems

Lior Rokach, Bracha Shapira, Shirley Freilikhman, 2013, User Modeling and User-Adapted Interaction.

Detecting drug-drug interactions using artificial neural networks and classic graph similarity measures

L. Rokach, Bracha Shapira, Guy Shtar, 2019, PloS one.

Using multiplicative hybrid hedonic pricing model for improving revenue management in hotel business

L. Rokach, D. Keim, S. Kisilevich, 2010 .

Cyber security threats in the microbial genomics era: implications for public health

Lior Rokach, Yossi Oren, Jacob Moran-Gilad, 2020, Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin.

PrivGen: Preserving Privacy of Sequences Through Data Generation pdf

Lior Rokach, Sigal Shaked, L. Rokach, 2020, ArXiv.

Risk of atrial fibrillation and association with other diseases: protocol of the derivation and international external validation of a prediction model using nationwide population-based electronic health records

L. Rokach, R. Arbel, R. Nadarajah, 2023, BMJ Open.

Introduction to Ensemble Learning

Lior Rokach, L. Rokach, 2009 .

Matching entities across online social networks

Lior Rokach, Yuval Elovici, Michael Fire, 2014, Neurocomputing.

Ensemble Learning - Pattern Classification Using Ensemble Methods, 2nd Edition

Lior Rokach, L. Rokach, 2019, Ensemble Learning.

Behavioral Study of Users When Interacting with Active Honeytokens

Ya'akov Gal, Lior Rokach, Yuval Elovici, 2016, TSEC.