| 2026 | EACL | DFPE: A Diverse Fingerprint Ensemble for Enhancing LLM Performance. | Seffi Cohen, Nurit Cohen-Inger, Niv Goldshlager, Bracha Shapira, Lior Rokach |
| 2025 | DATA | IDAT: An Interactive Data Exploration Tool. | Nir Regev, Asaf Shabtai, Lior Rokach |
| 2025 | ECAI | DiFair-LLM: Evaluating Fairness Disparities in LLMs Toward Demographic Groups. | Nurit Cohen-Inger, Roei Zaady, Adir Solomon, Lior Rokach, Bracha Shapira |
| 2025 | EMNLP | Forget What You Know about LLMs Evaluations - LLMs are Like a Chameleon. | Nurit Cohen-Inger, Yehonatan Elisha, Bracha Shapira, Lior Rokach, Seffi Cohen |
| 2025 | SIGIR | X-Cross: Dynamic Integration of Language Models for Cross-Domain Sequential Recommendation. | Guy Hadad, Haggai Roitman, Yotam Eshel, Bracha Shapira, Lior Rokach |
| 2024 | AAAI | TTTS: Tree Test Time Simulation for Enhancing Decision Tree Robustness against Adversarial Examples. | Seffi Cohen, Ofir Arbili, Yisroel Mirsky, Lior Rokach |
| 2024 | ECAI | FairUS - UpSampling Optimized Method for Boosting Fairness. | Nurit Cohen-Inger, Guy Rozenblatt, Seffi Cohen, Lior Rokach, Bracha Shapira |
| 2023 | CIKM | GraphERT- Transformers-based Temporal Dynamic Graph Embedding. | Moran Beladev, Gilad Katz, Lior Rokach, Uriel Singer, Kira Radinsky |
| 2022 | AAAI | Q-Ball: Modeling Basketball Games Using Deep Reinforcement Learning. | Chen Yanai, Adir Solomon, Gilad Katz, Bracha Shapira, Lior Rokach |
| 2021 | CIKM | BNN: Boosting Neural Network Framework Utilizing Limited Amount of Data. | Amit Livne, Roy Dor, Bracha Shapira, Lior Rokach |
| 2021 | ICDM | TRIO: Task-agnostic dataset representation optimized for automatic algorithm selection. | Noy Cohen-Shapira, Lior Rokach |
| 2021 | IJCNN | Pay Attention: Improving Classification of PE Malware Using Attention Mechanisms Based on System Call Analysis. | Ori Or-Meir, Aviad Cohen, Yuval Elovici, Lior Rokach, Nir Nissim |
| 2021 | IJCNN | Approximating Aggregated SQL Queries with LSTM Networks. | Nir Regev, Lior Rokach, Asaf Shabtai |
| 2021 | IJCNN | Sequence Squeezing: A Defense Method Against Adversarial Examples for API Call-Based RNN Variants. | Ishai Rosenberg, Asaf Shabtai, Yuval Elovici, Lior Rokach |
| 2020 | ACSAC | Query-Efficient Black-Box Attack Against Sequence-Based Malware Classifiers. | Ishai Rosenberg, Asaf Shabtai, Yuval Elovici, Lior Rokach |
| 2020 | CIKM | tdGraphEmbed: Temporal Dynamic Graph-Level Embedding. | Moran Beladev, Lior Rokach, Gilad Katz, Ido Guy, Kira Radinsky |
| 2020 | CIKM | MetaTPOT: Enhancing A Tree-based Pipeline Optimization Tool Using Meta-Learning. | Doron Laadan, Roman Vainshtein, Yarden Curiel, Gilad Katz, Lior Rokach |
| 2020 | CIKM | Crime Linkage Based on Textual Hebrew Police Reports Utilizing Behavioral Patterns. | Adir Solomon, Amit Magen, Simo Hanouna, Mor Kertis, Bracha Shapira, Lior Rokach |
| 2020 | KDD | DeepLine: AutoML Tool for Pipelines Generation using Deep Reinforcement Learning and Hierarchical Actions Filtering. | Yuval Heffetz, Roman Vainshtein, Gilad Katz, Lior Rokach |
| 2020 | PAKDD | Using Bandits for Effective Database Activity Monitoring. | Hagit Grushka-Cohen, Ofer Biller, Oded Sofer, Lior Rokach, Bracha Shapira |
| 2020 | SIGIR | Product Bundle Identification using Semi-Supervised Learning. | Hen Tzaban, Ido Guy, Asnat Greenstein-Messica, Arnon Dagan, Lior Rokach, Bracha Shapira |
| 2019 | CIKM | AutoGRD: Model Recommendation Through Graphical Dataset Representation. | Noy Cohen-Shapira, Lior Rokach, Bracha Shapira, Gilad Katz, Roman Vainshtein |
| 2019 | IJCAI | AugBoost: Gradient Boosting Enhanced with Step-Wise Feature Augmentation. | Philip Tannor, Lior Rokach |
| 2018 | CaiSE | Evaluation of a Design Method for Graph Database. | Noa Roy-Hubara, Lior Rokach, Bracha Shapira, Peretz Shoval |
| 2018 | CIKM | A Hybrid Approach for Automatic Model Recommendation. | Roman Vainshtein, Asnat Greenstein-Messica, Gilad Katz, Bracha Shapira, Lior Rokach |
| 2018 | ESORICS | Simulating User Activity for Assessing Effect of Sampling on DB Activity Monitoring Anomaly Detection. | Hagit Grushka-Cohen, Ofer Biller, Oded Sofer, Lior Rokach, Bracha Shapira |
| 2018 | PAKDD | Utilizing Sequences of Touch Gestures for User Verification on Mobile Devices. | Liron Ben Kimon, Yisroel Mirsky, Lior Rokach, Bracha Shapira |
| 2018 | RAID | Generic Black-Box End-to-End Attack Against State of the Art API Call Based Malware Classifiers. | Ishai Rosenberg, Asaf Shabtai, Lior Rokach, Yuval Elovici |
| 2018 | WSDM | Identifying Informational vs. Conversational Questions on Community Question Answering Archives. | Ido Guy, Victor Makarenkov, Niva Hazon, Lior Rokach, Bracha Shapira |
| 2017 | ICISSP | Application Marketplace Malware Detection by User Feedback Analysis. | Tal Hadad, Rami Puzis, Bronislav Sidik, Nir Ofek, Lior Rokach |
| 2017 | ICISSP | User Feedback Analysis for Mobile Malware Detection. | Tal Hadad, Bronislav Sidik, Nir Ofek, Rami Puzis, Lior Rokach |
| 2017 | IUI | Session-Based Recommendations Using Item Embedding. | Asnat Greenstein-Messica, Lior Rokach, Michael Friedmann |
| 2016 | CCS | SherLock vs Moriarty: A Smartphone Dataset for Cybersecurity Research. | Yisroel Mirsky, Asaf Shabtai, Lior Rokach, Bracha Shapira, Yuval Elovici |
| 2016 | CIKM | CyberRank: Knowledge Elicitation for Risk Assessment of Database Security. | Hagit Grushka-Cohen, Oded Sofer, Ofer Biller, Bracha Shapira, Lior Rokach |
| 2016 | RecSys | RecSys'16 Workshop on Deep Learning for Recommender Systems (DLRS). | Alexandros Karatzoglou, Balzs Hidasi, Domonkos Tikk, Oren Sar Shalom, Haggai Roitman, Bracha Shapira, Lior Rokach |
| 2016 | RecSys | Deep Auto-Encoding for Context-Aware Inference of Preferred Items' Categories. | Moshe Unger, Bracha Shapira, Lior Rokach, Ariel Bar |
| 2015 | ICAART | Fast Item-Based Collaborative Filtering. | David Ben-Shimon, Lior Rokach, Bracha Shapira, Guy Shani |
| 2015 | ICTIR | Theoretical Categorization of Query Performance Predictors. | Victor Makarenkov, Bracha Shapira, Lior Rokach |
| 2015 | PAKDD | pcStream: A Stream Clustering Algorithm for Dynamically Detecting and Managing Temporal Contexts. | Yisroel Mirsky, Bracha Shapira, Lior Rokach, Yuval Elovici |
| 2015 | RecSys | Recommender Systems for Product Bundling. | Moran Beladev, Bracha Shapira, Lior Rokach |
| 2015 | RecSys | RecSys Challenge 2015 and the YOOCHOOSE Dataset. | David Ben-Shimon, Alexander Tsikinovsky, Michael Friedmann, Bracha Shapira, Lior Rokach, Johannes Hoerle |
| 2015 | RecSys | "Please, Not Now!": A Model for Timing Recommendations. | Nofar Dali Betzalel, Bracha Shapira, Lior Rokach |
| 2015 | RecSys | In-House Solution for the RecSys Challenge 2015. | Nadav Cohen, Adi Gerzi, David Ben-Shimon, Bracha Shapira, Lior Rokach, Michael Friedmann |
| 2015 | WWW | The Importance of Pronouns to Sentiment Analysis: Online Cancer Survivor Network Case Study. | Nir Ofek, Lior Rokach, Cornelia Caragea, John Yen |
| 2015 | SoCS | Search Problems in the Domain of Multiplication: Case Study on Anomaly Detection Using Markov Chains. | Yisroel Mirsky, Aviad Cohen, Roni Stern, Ariel Felner, Lior Rokach, Yuval Elovici, Bracha Shapira |
| 2014 | CICLING | Methodology for Connecting Nouns to Their Modifying Adjectives. | Nir Ofek, Lior Rokach, Prasenjit Mitra |
| 2014 | RecSys | Preference elicitation for narrowing the recommended list for groups. | Lihi Naamani Dery, Meir Kalech, Lior Rokach, Bracha Shapira |
| 2014 | SIGIR | Wikipedia-based query performance prediction. | Gilad Katz, Anna Shtok, Oren Kurland, Bracha Shapira, Lior Rokach |
| 2013 | BigData | IP2User - Identifying the Username of an IP Address in Network-Related Events. | Asaf Shabtai, Idan Morad, Eyal Kolman, Ereli Eran, Alex Vaystikh, Eyal Gruss, Lior Rokach, Yuval Elovici |
| 2013 | CIKM | 2013 international workshop on computational scientometrics: theory and applications. | Cornelia Caragea, C. Lee Giles, Lior Rokach, Xiaozhong Liu |
| 2013 | CIKM | Combining one-class classifiers via meta learning. | Eitan Menahem, Lior Rokach, Yuval Elovici |
| 2013 | IJCAI | Machine-Learning-Based Circuit Synthesis. | Lior Rokach, Meir Kalech, Gregory M. Provan, Alexander Feldman |
| 2013 | RecSys | Leveraging the citation graph to recommend keywords. | Ido Blank, Lior Rokach, Guy Shani |
| 2013 | RecSys | Using geospatial metadata to boost collaborative filtering. | Alexander Ostrikov, Lior Rokach, Bracha Shapira |
| 2013 | SAC | Recommending insurance riders. | Lior Rokach, Guy Shani, Bracha Shapira, Eyal Chapnik, Gali Siboni |
| 2012 | CIKM | Recommending citations: translating papers into references. | Wenyi Huang, Saurabh Kataria, Cornelia Caragea, Prasenjit Mitra, C. Lee Giles, Lior Rokach |
| 2012 | CIKM | TALMUD: transfer learning for multiple domains. | Orly Moreno, Bracha Shapira, Lior Rokach, Guy Shani |
| 2012 | ESANN | Introducing diversity among the models of multi-label classification ensemble. | Lena Chekina, Lior Rokach, Bracha Shapira |
| 2012 | ESANN | An Exploration of Research Directions in Machine Ensemble Theory and Applications. | Anbal R. Figueiras-Vidal, Lior Rokach |
| 2012 | ICDM | ConfDTree: Improving Decision Trees Using Confidence Intervals. | Gilad Katz, Asaf Shabtai, Lior Rokach, Nir Ofek |
| 2012 | IJCCI | Diffusion Ensemble Classifiers. | Alon Schclar, Lior Rokach, Amir Amit |
| 2011 | CCS | Poster: applying unsupervised context-based analysis for detecting unauthorized data disclosure. | Ma'ayan Gafny, Asaf Shabtai, Lior Rokach, Yuval Elovici |
| 2011 | ICDM | Meta-learning for Selecting a Multi-label Classification Algorithm. | Lena Chekina, Lior Rokach, Bracha Shapira |
| 2011 | ISI | HoneyGen: An automated honeytokens generator. | Maya Bercovitch, Meir Renford, Lior Hasson, Asaf Shabtai, Lior Rokach, Yuval Elovici |
| 2011 | ISI | Dynamic Sensitivity-Based Access Control. | Amir Harel, Asaf Shabtai, Lior Rokach, Yuval Elovici |
| 2011 | RecSys | Recommenders benchmark framework. | Aviram Dayan, Guy Katz, Naseem Biasdi, Lior Rokach, Bracha Shapira, Aykan Aydin, Roland Schwaiger, Radmila Fishel |
| 2011 | RecSys | Using Wikipedia to boost collaborative filtering techniques. | Gilad Katz, Nir Ofek, Bracha Shapira, Lior Rokach, Guy Shani |
| 2010 | CCS | Detecting data misuse by applying context-based data linkage. | Ma'ayan Gafny, Asaf Shabtai, Lior Rokach, Yuval Elovici |
| 2010 | CCS | M-score: estimating the potential damage of data leakage incident by assigning misuseability weight. | Amir Harel, Asaf Shabtai, Lior Rokach, Yuval Elovici |
| 2010 | CIS | Continuous Verification Using Keystroke Dynamics. | Tomer Shimshon, Robert Moskovitch, Lior Rokach, Yuval Elovici |
| 2010 | GRC | k-Anonymized Reducts. | Lior Rokach, Alon Schclar |
| 2010 | RecSys | Iterative voting under uncertainty for group recommender systems. | Lihi Naamani Dery, Meir Kalech, Lior Rokach, Bracha Shapira |
| 2009 | ISI | Identity theft, computers and behavioral biometrics. | Robert Moskovitch, Clint Feher, Arik Messerman, Niklas Kirschnick, Tarik Mustafic, Seyit Ahmet amtepe, Bernhard Lhlein, Ulrich Heister, Sebastian Mller, Lior Rokach, Yuval Elovici |
| 2009 | RecSys | Ensemble methods for improving the performance of neighborhood-based collaborative filtering. | Alon Schclar, Alexander Tsikinovsky, Lior Rokach, Amnon Meisels, Liat Antwarg |
| 2007 | CIDM | Establishing User Profiles in the MediaScout Recommender System. | Guy Shani, Lior Rokach, Amnon Meisels, Lihi Naamani, Nischal M. Piratla, David Ben-Shimon |
| 2006 | ICDM | Cascaded Data Mining Methods for Text Understanding, with medical case study. | Roni Romano, Lior Rokach, Oded Maimon |
| 2005 | GRC | Decomposition methodology for classification tasks. | Lior Rokach, Oded Maimon |
| 2004 | FQAS | Information Retrieval System for Medical Narrative Reports. | Lior Rokach, Oded Maimon, Mordechai Averbuch |
| 2003 | ISMIS | Space Decomposition in Data Mining: A Clustering Approach. | Lior Rokach, Oded Maimon, Inbal Lavi |
| 2001 | ICDM | Theory and Applications of Attribute Decomposition. | Lior Rokach, Oded Maimon |