Lior Rokach - RankMe

379 papers A* 13A 34B 7C 10Misc 4Journal 209Unranked 59

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	DFPE: A Diverse Fingerprint Ensemble for Enhancing LLM Performance. EACL (Findings) Seffi Cohen, Nurit Cohen-Inger, Niv Goldshlager, Bracha Shapira, Lior Rokach
2025	J	`jnl`	Adversarial evasion attacks detection for tree-based ensembles: A representation learning approach. Inf. Fusion Gal Braun, Seffi Cohen, Lior Rokach
2025	J	`jnl`	BiasGuard: Guardrailing Fairness in Machine Learning Production Systems. CoRR Nurit Cohen-Inger, Seffi Cohen, Neomi Rabaev, Lior Rokach, Bracha Shapira
2025	J	`jnl`	DFPE: A Diverse Fingerprint Ensemble for Enhancing LLM Performance. CoRR Seffi Cohen, Niv Goldshlager, Nurit Cohen-Inger, Bracha Shapira, Lior Rokach
2025	J	`jnl`	Dark LLMs: The Growing Threat of Unaligned AI Models. CoRR Michael Fire, Yitzhak Elbazis, Adi Wasenstein, Lior Rokach
2025	A	`conf`	DiFair-LLM: Evaluating Fairness Disparities in LLMs Toward Demographic Groups. ECAI Nurit Cohen-Inger, Roei Zaady, Adir Solomon, Lior Rokach, Bracha Shapira
2025	J	`jnl`	FairTTTS: A Tree Test Time Simulation Method for Fairness-Aware Classification. CoRR Nurit Cohen-Inger, Lior Rokach, Bracha Shapira, Seffi Cohen
2025	A*	`conf`	Forget What You Know about LLMs Evaluations - LLMs are Like a Chameleon. EMNLP Nurit Cohen-Inger, Yehonatan Elisha, Bracha Shapira, Lior Rokach, Seffi Cohen
2025	J	`jnl`	Forget What You Know about LLMs Evaluations - LLMs are Like a Chameleon. CoRR Nurit Cohen-Inger, Yehonatan Elisha, Bracha Shapira, Lior Rokach, Seffi Cohen
2025	J	`jnl`	GNNs and ensemble models enhance the prediction of new sRNA-mRNA interactions in unseen conditions. BMC Bioinform. Shani Cohen, Lior Rokach, Isana Veksler-Lublinsky
2025	C	`conf`	IDAT: An Interactive Data Exploration Tool. DATA Nir Regev, Asaf Shabtai, Lior Rokach
2025	—	`conf`	Improving Pricing Recommendations Using Nearest Neighbors Retrieval Via Contrastive Learning and Hard Negatives Mining. ECML/PKDD (8) Eyal Mazuz, Gilad Fuchs, Alexander Nus, Lior Rokach, Bracha Shapira
2025	J	`jnl`	SHAPoint: Task-Agnostic, Efficient, and Interpretable Point-Based Risk Scoring via Shapley Values. CoRR Tomer D. Meirman, Bracha Shapira, Noa Dagan, Lior Rokach
2025	A*	`conf`	X-Cross: Dynamic Integration of Language Models for Cross-Domain Sequential Recommendation. SIGIR Guy Hadad, Haggai Roitman, Yotam Eshel, Bracha Shapira, Lior Rokach
2025	J	`jnl`	X-Cross: Dynamic Integration of Language Models for Cross-Domain Sequential Recommendation. CoRR Guy Hadad, Haggai Roitman, Yotam Eshel, Bracha Shapira, Lior Rokach
2024	J	`jnl`	A Novel Method for News Article Event-Based Embedding. CoRR Koren Ishlach, Itzhak Ben-David, Michael Fire, Lior Rokach
2024	J	`jnl`	Automated algorithm selection using meta-learning and pre-trained deep convolution neural networks. Inf. Fusion Itai Dagan, Roman Vainshtein, Gilad Katz, Lior Rokach
2024	J	`jnl`	BagStacking: An Integrated Ensemble Learning Approach for Freezing of Gait Detection in Parkinson's Disease. CoRR Seffi Cohen, Lior Rokach
2024	J	`jnl`	BagStacking: An Integrated Ensemble Learning Approach for Freezing of Gait Detection in Parkinson's Disease. Inf. Seffi Cohen, Nurit Cohen-Inger, Lior Rokach
2024	—	`book`	Cluster Analysis - A Primer Using R Cluster Analysis Lior Rokach
2024	J	`jnl`	Eravacycline, an antibacterial drug, repurposed for pancreatic cancer therapy: insights from a molecular-based deep learning model. Briefings Bioinform. Adi Jabarin, Guy Shtar, Valeria Feinshtein, Eyal Mazuz, Bracha Shapira, Shimon Ben-Shabat, Lior Rokach
2024	A	`conf`	FairUS - UpSampling Optimized Method for Boosting Fairness. ECAI Nurit Cohen-Inger, Guy Rozenblatt, Seffi Cohen, Lior Rokach, Bracha Shapira
2024	J	`jnl`	Improving severity classification of Hebrew PET-CT pathology reports using test-time augmentation. J. Biomed. Informatics Seffi Cohen, Edo Lior, Moshe Bocher, Lior Rokach
2024	J	`jnl`	Iterative Feature eXclusion (IFX): Mitigating feature starvation in gradient boosted decision trees. Knowl. Based Syst. Amiel Meiseles, Lior Rokach
2024	J	`jnl`	Machine learning-based stock picking using value investing and quality features. Neural Comput. Appl. Ronen Priel, Lior Rokach
2024	J	`jnl`	PnT: Born-again tree-based model via fused decision path encoding. Inf. Fusion Noy Cohen-Shapira, Lior Rokach
2024	A*	`conf`	TTTS: Tree Test Time Simulation for Enhancing Decision Tree Robustness against Adversarial Examples. AAAI Seffi Cohen, Ofir Arbili, Yisroel Mirsky, Lior Rokach
2024	J	`jnl`	The Branch Not Taken: Predicting Branching in Online Conversations. CoRR Shai Meital, Lior Rokach, Roman Vainshtein, Nir Grinberg
2023	J	`jnl`	AMFPMC - An improved method of detecting multiple types of drug-drug interactions using only known drug-drug interactions. CoRR Bar Vered, Guy Shtar, Lior Rokach, Bracha Shapira
2023	J	`jnl`	Automatic Feature Engineering for Learning Compact Decision Trees. Expert Syst. Appl. Inbal Roshanski, Meir Kalech, Lior Rokach
2023	J	`jnl`	Boosting anomaly detection using unsupervised diverse test-time augmentation. Inf. Sci. Seffi Cohen, Niv Goldshlager, Lior Rokach, Bracha Shapira
2023	J	`jnl`	Context aware Markov chains models. Knowl. Based Syst. Ariel Bar, Bracha Shapira, Lior Rokach
2023	J	`jnl`	DeepCAN: Hybrid Method for Road Type Classification Using Vehicle Sensor Data for Smart Autonomous Mobility. IEEE Trans. Intell. Transp. Syst. Adva Hadrian, Roman Vainshtein, Bracha Shapira, Lior Rokach
2023	J	`jnl`	Enhancing social network hate detection using back translation and GPT-3 augmentations during training and test-time. Inf. Fusion Seffi Cohen, Dan Presil, Or Katz, Ofir Arbili, Shvat Messica, Lior Rokach
2023	A	`conf`	GraphERT- Transformers-based Temporal Dynamic Graph Embedding. CIKM Moran Beladev, Gilad Katz, Lior Rokach, Uriel Singer, Kira Radinsky
2023	J	`jnl`	Pretrained transformer models for predicting the withdrawal of drugs from the market. Bioinform. Eyal Mazuz, Guy Shtar, Nir Kutsky, Lior Rokach, Bracha Shapira
2023	A	`conf`	Promoting Tail Item Recommendations in E-Commerce. UMAP Tamar Didi, Ido Guy, Amit Livne, Arnon Dagan, Lior Rokach, Bracha Shapira
2023	J	`jnl`	Shapley-based feature augmentation. Inf. Fusion Liat Antwarg, Chen Galed, Nathaniel Shimoni, Lior Rokach, Bracha Shapira
2023	J	`jnl`	Silent Killer: Optimizing Backdoor Trigger Yields a Stealthy and Powerful Data Poisoning Attack. CoRR Tzvi Lederer, Gallil Maimon, Lior Rokach
2023	J	`jnl`	TLTD: Transfer Learning for Tabular Data. Appl. Soft Comput. Maxim Bragilovski, Zahi Kapri, Lior Rokach, Shelly Levy-Tzedek
2023	J	`jnl`	TTANAD: Test-Time Augmentation for Network Anomaly Detection. Entropy Seffi Cohen, Niv Goldshlager, Bracha Shapira, Lior Rokach
2023	J	`jnl`	Vulnerability of pangolin SARS-CoV-2 lineage assignment to adversarial attack. Artif. Intell. Medicine Amiel Meiseles, Yair Motro, Lior Rokach, Jacob Moran-Gilad
2022	J	`jnl`	A Universal Adversarial Policy for Text Classifiers. CoRR Gallil Maimon, Lior Rokach
2022	J	`jnl`	A deep learning framework for predicting burglaries based on multiple contextual factors. Expert Syst. Appl. Adir Solomon, Mor Kertis, Bracha Shapira, Lior Rokach
2022	J	`jnl`	A universal adversarial policy for text classifiers. Neural Networks Gallil Maimon, Lior Rokach
2022	J	`jnl`	Active-learning-based reconstruction of circuit model. Appl. Intell. Gal Rozenfeld, Meir Kalech, Lior Rokach
2022	J	`jnl`	Adversarial Machine Learning Attacks and Defense Methods in the Cyber Security Domain. ACM Comput. Surv. Ishai Rosenberg, Asaf Shabtai, Yuval Elovici, Lior Rokach
2022	J	`jnl`	Contextual security awareness: A context-based approach for assessing the security awareness of users. Knowl. Based Syst. Adir Solomon, Michael Michaelshvili, Ron Bitton, Bracha Shapira, Lior Rokach, Rami Puzis, Asaf Shabtai
2022	J	`jnl`	Cross Version Defect Prediction with Class Dependency Embeddings. CoRR Moti Cohen, Lior Rokach, Rami Puzis
2022	J	`jnl`	Deepchecks: A Library for Testing and Validating Machine Learning Models and Data. CoRR Shir Chorev, Philip Tannor, Dan Ben Israel, Noam Bressler, Itay Gabbay, Nir Hutnik, Jonatan Liberman, Matan Perlmutter, Yurii Romanyshyn, Lior Rokach
2022	J	`jnl`	Deepchecks: A Library for Testing and Validating Machine Learning Models and Data. J. Mach. Learn. Res. Shir Chorev, Philip Tannor, Dan Ben Israel, Noam Bressler, Itay Gabbay, Nir Hutnik, Jonatan Liberman, Matan Perlmutter, Yurii Romanyshyn, Lior Rokach
2022	J	`jnl`	Enhancing real-world adversarial patches through 3D modeling of complex target scenes. Neurocomputing Yael Mathov, Lior Rokach, Yuval Elovici
2022	J	`jnl`	Evolving context-aware recommender systems with users in mind. Expert Syst. Appl. Amit Livne, Eliad Shem Tov, Adir Solomon, Achiya Elyasaf, Bracha Shapira, Lior Rokach
2022	J	`jnl`	Explainable machine learning for chronic lymphocytic leukemia treatment prediction using only inexpensive tests. Comput. Biol. Medicine Amiel Meiseles, Denis Paley, Mira Ziv, Yarin Hadid, Lior Rokach, Tamar Tadmor
2022	J	`jnl`	Explainable multimodal machine learning model for classifying pregnancy drug safety. Bioinform. Guy Shtar, Lior Rokach, Bracha Shapira, Elkana Kohn, Matitiahu Berkovitch, Maya Berlin
2022	J	`jnl`	Integrated prediction intervals and specific value predictions for regression problems using neural networks. Knowl. Based Syst. Eli Simhayev, Gilad Katz, Lior Rokach
2022	J	`jnl`	Learning dataset representation for automatic machine learning algorithm selection. Knowl. Inf. Syst. Noy Cohen-Shapira, Lior Rokach
2022	J	`jnl`	Predicting application usage based on latent contextual information. Comput. Commun. Adir Solomon, Bracha Shapira, Lior Rokach
2022	J	`jnl`	Predicting drug characteristics using biomedical text embedding. BMC Bioinform. Guy Shtar, Asnat Greenstein-Messica, Eyal Mazuz, Lior Rokach, Bracha Shapira
2022	A*	`conf`	Q-Ball: Modeling Basketball Games Using Deep Reinforcement Learning. AAAI Chen Yanai, Adir Solomon, Gilad Katz, Bracha Shapira, Lior Rokach
2022	—	`book`	Recommender Systems Handbook Recommender Systems Handbook Francesco Ricci, Lior Rokach, Bracha Shapira
2022	—	`ch.`	Recommender Systems: Techniques, Applications, and Challenges. Recommender Systems Handbook Francesco Ricci, Lior Rokach, Bracha Shapira
2022	—	`conf`	Transfer Learning for Time Series Classification Using Synthetic Data Generation. CSCML Yarden Rotem, Nathaniel Shimoni, Lior Rokach, Bracha Shapira
2022	J	`jnl`	Transfer learning for time series classification using synthetic data generation. CoRR Yarden Rotem, Nathaniel Shimoni, Lior Rokach, Bracha Shapira
2022	J	`jnl`	Virtual Breathalyzer: Towards the Detection of Intoxication Using Motion Sensors of Commercial Wearable Devices. Sensors Ben Nassi, Jacob Shams, Lior Rokach, Yuval Elovici
2021	J	`jnl`	A Machine-Learning Model for Automatic Detection of Movement Compensations in Stroke Patients. IEEE Trans. Emerg. Top. Comput. Shir Kashi, Ronit Feingold Polak, Boaz Lerner, Lior Rokach, Shelly Levy-Tzedek
2021	J	`jnl`	Analyzing movement predictability using human attributes and behavioral patterns. Comput. Environ. Urban Syst. Adir Solomon, Amit Livne, Gilad Katz, Bracha Shapira, Lior Rokach
2021	B	`conf`	Approximating Aggregated SQL Queries with LSTM Networks. IJCNN Nir Regev, Lior Rokach, Asaf Shabtai
2021	J	`jnl`	Approximating XGBoost with an interpretable decision tree. Inf. Sci. Omer Sagi, Lior Rokach
2021	J	`jnl`	Automatic selection of clustering algorithms using supervised graph embedding. Inf. Sci. Noy Cohen-Shapira, Lior Rokach
2021	A	`conf`	BNN: Boosting Neural Network Framework Utilizing Limited Amount of Data. CIKM Amit Livne, Roy Dor, Bracha Shapira, Lior Rokach
2021	J	`jnl`	Boosting Anomaly Detection Using Unsupervised Diverse Test-Time Augmentation. CoRR Seffi Cohen, Niv Goldshlager, Lior Rokach, Bracha Shapira
2021	J	`jnl`	Enhancing Real-World Adversarial Patches with 3D Modeling Techniques. CoRR Yael Mathov, Lior Rokach, Yuval Elovici
2021	J	`jnl`	Explaining anomalies detected by autoencoders using Shapley Additive Explanations. Expert Syst. Appl. Liat Antwarg, Ronnie Mindlin Miller, Bracha Shapira, Lior Rokach
2021	J	`jnl`	F-PENN - Forest path encoding for neural networks. Inf. Fusion Yoni Cohen, Gilad Katz, Lior Rokach
2021	J	`jnl`	ICU Survival Prediction Incorporating Test-Time Augmentation to Improve the Accuracy of Ensemble-Based Models. IEEE Access Seffi Cohen, Noa Dagan, Nurit Cohen-Inger, Dan Ofer, Lior Rokach
2021	J	`jnl`	Isolation forests and landmarking-based representations for clustering algorithm recommendation using meta-learning. Inf. Sci. Itay Gabbay, Bracha Shapira, Lior Rokach
2021	B	`conf`	Pay Attention: Improving Classification of PE Malware Using Attention Mechanisms Based on System Call Analysis. IJCNN Ori Or-Meir, Aviad Cohen, Yuval Elovici, Lior Rokach, Nir Nissim
2021	B	`conf`	Sequence Squeezing: A Defense Method Against Adversarial Examples for API Call-Based RNN Variants. IJCNN Ishai Rosenberg, Asaf Shabtai, Yuval Elovici, Lior Rokach
2021	J	`jnl`	Supporting unknown number of users in keystroke dynamics models. Knowl. Based Syst. Itay Hazan, Oded Margalit, Lior Rokach
2021	A*	`conf`	TRIO: Task-agnostic dataset representation optimized for automatic algorithm selection. ICDM Noy Cohen-Shapira, Lior Rokach
2021	J	`jnl`	minMLST: machine learning for optimization of bacterial strain typing. Bioinform. Shani Cohen, Lior Rokach, Yair Motro, Jacob Moran-Gilad, Isana Veksler-Lublinsky
2020	J	`jnl`	A framework for optimizing COVID-19 testing policy using a Multi Armed Bandit approach. CoRR Hagit Grushka-Cohen, Raphael Cohen, Bracha Shapira, Jacob Moran-Gilad, Lior Rokach
2020	J	`jnl`	A practical tutorial on bagging and boosting based ensembles for machine learning: Algorithms, software tools, performance study, practical perspectives and opportunities. Inf. Fusion Sergio González, Salvador García, Javier Del Ser, Lior Rokach, Francisco Herrera
2020	J	`jnl`	Adversarial Learning in the Cyber Security Domain. CoRR Ishai Rosenberg, Asaf Shabtai, Yuval Elovici, Lior Rokach
2020	—	`conf`	Adversarial Vulnerability of Deep Learning Models in Analyzing Next Generation Sequencing Data. BIBM Amiel Meiseles, Ishai Rosenberg, Yair Motro, Lior Rokach, Jacob Moran-Gilad
2020	J	`jnl`	Approximating Aggregated SQL Queries With LSTM Networks. CoRR Nir Regev, Lior Rokach, Asaf Shabtai
2020	J	`jnl`	Automatic Machine Learning Derived from Scholarly Big Data. CoRR Asnat Greenstein-Messica, Roman Vainshtein, Gilad Katz, Bracha Shapira, Lior Rokach
2020	J	`jnl`	Automatic selection of clustering algorithms using supervised graph embedding. CoRR Noy Cohen-Shapira, Lior Rokach
2020	J	`jnl`	Comparison of state-of-the-art deep learning APIs for image multi-label classification using semantic metrics. Expert Syst. Appl. Adam Kubany, Shimon Ben Ishay, Ruben-Sacha Ohayon, Armin Shmilovici, Lior Rokach, Tomer Doitshman
2020	A	`conf`	Crime Linkage Based on Textual Hebrew Police Reports Utilizing Behavioral Patterns. CIKM Adir Solomon, Amit Magen, Simo Hanouna, Mor Kertis, Bracha Shapira, Lior Rokach
2020	A*	`conf`	DeepLine: AutoML Tool for Pipelines Generation using Deep Reinforcement Learning and Hierarchical Actions Filtering. KDD Yuval Heffetz, Roman Vainshtein, Gilad Katz, Lior Rokach
2020	J	`jnl`	Evolving Context-Aware Recommender Systems With Users in Mind. CoRR Amit Livne, Eliad Shem Tov, Adir Solomon, Achiya Elyasaf, Bracha Shapira, Lior Rokach
2020	J	`jnl`	Explainable decision forest: Transforming a decision forest into an interpretable tree. Inf. Fusion Omer Sagi, Lior Rokach
2020	J	`jnl`	Iterative Boosting Deep Neural Networks for Predicting Click-Through Rate. CoRR Amit Livne, Roy Dor, Eyal Mazuz, Tamar Didi, Bracha Shapira, Lior Rokach
2020	J	`jnl`	Keystroke dynamics obfuscation using key grouping. Expert Syst. Appl. Itay Hazan, Oded Margalit, Lior Rokach
2020	J	`jnl`	Lessons Learned from Applying off-the-shelf BERT: There is no Silver Bullet. CoRR Victor Makarenkov, Lior Rokach
2020	J	`jnl`	Machine learning and operation research based method for promotion optimization of products with no price elasticity history. Electron. Commer. Res. Appl. Asnat Greenstein-Messica, Lior Rokach
2020	A	`conf`	MetaTPOT: Enhancing A Tree-based Pipeline Optimization Tool Using Meta-Learning. CIKM Doron Laadan, Roman Vainshtein, Yarden Curiel, Gilad Katz, Lior Rokach
2020	J	`jnl`	PIVEN: A Deep Neural Network for Prediction Intervals with Specific Value Prediction. CoRR Eli Simhayev, Gilad Katz, Lior Rokach
2020	J	`jnl`	PrivGen: Preserving Privacy of Sequences Through Data Generation. CoRR Sigal Shaked, Lior Rokach
2020	J	`jnl`	Probability-Based Algorithm for Bearing Diagnosis with Untrained Spall Sizes. Sensors Ido Tam, Meir Kalech, Lior Rokach, Eyal Madar, Jacob Bortman, Renata Klein
2020	A*	`conf`	Product Bundle Identification using Semi-Supervised Learning. SIGIR Hen Tzaban, Ido Guy, Asnat Greenstein-Messica, Arnon Dagan, Lior Rokach, Bracha Shapira
2020	A	`conf`	Query-Efficient Black-Box Attack Against Sequence-Based Malware Classifiers. ACSAC Ishai Rosenberg, Asaf Shabtai, Yuval Elovici, Lior Rokach
2020	J	`jnl`	Sequence Preserving Network Traffic Generation. CoRR Sigal Shaked, Amos Zamir, Roman Vainshtein, Moshe Unger, Lior Rokach, Rami Puzis, Bracha Shapira
2020	J	`jnl`	Source Model Selection for Deep Learning in the Time Series Domain. IEEE Access Amiel Meiseles, Lior Rokach
2020	J	`jnl`	The Age of Testifying Wearable Devices: The Case of Intoxication Detection. IACR Cryptol. ePrint Arch. Ben Nassi, Lior Rokach, Yuval Elovici
2020	—	`conf`	Using Bandits for Effective Database Activity Monitoring. PAKDD (2) Hagit Grushka-Cohen, Ofer Biller, Oded Sofer, Lior Rokach, Bracha Shapira
2020	A	`conf`	tdGraphEmbed: Temporal Dynamic Graph-Level Embedding. CIKM Moran Beladev, Lior Rokach, Gilad Katz, Ido Guy, Kira Radinsky
2019	J	`jnl`	Assessing the Quality of Scientific Papers. CoRR Roman Vainshtein, Gilad Katz, Bracha Shapira, Lior Rokach
2019	A*	`conf`	AugBoost: Gradient Boosting Enhanced with Step-Wise Feature Augmentation. IJCAI Philip Tannor, Lior Rokach
2019	A	`conf`	AutoGRD: Model Recommendation Through Graphical Dataset Representation. CIKM Noy Cohen-Shapira, Lior Rokach, Bracha Shapira, Gilad Katz, Roman Vainshtein
2019	J	`jnl`	Choosing the Right Word: Using Bidirectional LSTM Tagger for Writing Support Systems. CoRR Victor Makarenkov, Lior Rokach, Bracha Shapira
2019	J	`jnl`	Choosing the right word: Using bidirectional LSTM tagger for writing support systems. Eng. Appl. Artif. Intell. Victor Makarenkov, Lior Rokach, Bracha Shapira
2019	J	`jnl`	Clustering Wi-Fi Fingerprints for Indoor-Outdoor Detection. CoRR Guy Shtar, Bracha Shapira, Lior Rokach
2019	J	`jnl`	Clustering Wi-Fi fingerprints for indoor-outdoor detection. Wirel. Networks Guy Shtar, Bracha Shapira, Lior Rokach
2019	J	`jnl`	Constraint learning based gradient boosting trees. Expert Syst. Appl. Abraham Israeli, Lior Rokach, Asaf Shabtai
2019	J	`jnl`	Deep Context-Aware Recommender System Utilizing Sequential Latent Context. CoRR Amit Livne, Moshe Unger, Bracha Shapira, Lior Rokach
2019	J	`jnl`	DeepLine: AutoML Tool for Pipelines Generation using Deep Reinforcement Learning and Hierarchical Actions Filtering. CoRR Yuval Heffetz, Roman Vainshtein, Gilad Katz, Lior Rokach
2019	J	`jnl`	Defense Methods Against Adversarial Examples for Recurrent Neural Networks. CoRR Ishai Rosenberg, Asaf Shabtai, Yuval Elovici, Lior Rokach
2019	J	`jnl`	Detecting drug-drug interactions using artificial neural networks and classic graph similarity measures. CoRR Guy Shtar, Lior Rokach, Bracha Shapira
2019	J	`jnl`	Diversifying Database Activity Monitoring with Bandits. CoRR Hagit Grushka-Cohen, Ofer Biller, Oded Sofer, Lior Rokach, Bracha Shapira
2019	J	`jnl`	Dynamic Malware Analysis in the Modern Era - A State of the Art Survey. ACM Comput. Surv. Ori Or-Meir, Nir Nissim, Yuval Elovici, Lior Rokach
2019	—	`book`	Ensemble Learning - Pattern Classification Using Ensemble Methods, 2 Ensemble Learning (2nd Ed.) Lior Rokach
2019	J	`jnl`	Explaining Anomalies Detected by Autoencoders Using SHAP. CoRR Liat Antwarg, Bracha Shapira, Lior Rokach
2019	J	`jnl`	Implicit Dimension Identification in User-Generated Text with LSTM Networks. CoRR Victor Makarenkov, Ido Guy, Niva Hazon, Tamar Meisels, Bracha Shapira, Lior Rokach
2019	J	`jnl`	Implicit dimension identification in user-generated text with LSTM networks. Inf. Process. Manag. Victor Makarenkov, Ido Guy, Niva Hazon, Tamar Meisels, Bracha Shapira, Lior Rokach
2019	J	`jnl`	New Item Consumption Prediction Using Deep Learning. CoRR Michael Shekasta, Gilad Katz, Asnat Greenstein-Messica, Lior Rokach, Bracha Shapira
2019	J	`jnl`	Online Budgeted Learning for Classifier Induction. CoRR Eran Fainman, Bracha Shapira, Lior Rokach, Yisroel Mirsky
2019	J	`jnl`	Personal Dynamic Cost-Aware Sensing for Latent Context Detection. CoRR Saar Tal, Bracha Shapira, Lior Rokach
2019	J	`jnl`	RankML: a Meta Learning-Based Approach for Pre-Ranking Machine Learning Pipelines. CoRR Doron Laadan, Roman Vainshtein, Yarden Curiel, Gilad Katz, Lior Rokach
2019	J	`jnl`	Sec-Lib: Protecting Scholarly Digital Libraries From Infected Papers Using Active Machine Learning Framework. IEEE Access Nir Nissim, Aviad Cohen, Jian Wu, Andrea Lanzi, Lior Rokach, Yuval Elovici, C. Lee Giles
2019	J	`jnl`	Securing keystroke dynamics from replay attacks. Appl. Soft Comput. Itay Hazan, Oded Margalit, Lior Rokach
2019	J	`jnl`	Semantic Comparison of State-of-the-Art Deep Learning Methods for Image Multi-Label Classification. CoRR Adam Kubany, Shimon Ben Ishay, Ruben-Sacha Ohayon, Armin Shmilovici, Lior Rokach, Tomer Doitshman
2019	J	`jnl`	Volatile memory analysis using the MinHash method for efficient and secured detection of malware in private cloud. Comput. Secur. Nir Nissim, Omri Lahav, Aviad Cohen, Yuval Elovici, Lior Rokach
2018	A	`conf`	A Hybrid Approach for Automatic Model Recommendation. CIKM Roman Vainshtein, Asnat Greenstein-Messica, Gilad Katz, Bracha Shapira, Lior Rokach
2018	J	`jnl`	Ensemble learning: A survey. WIREs Data Mining Knowl. Discov. Omer Sagi, Lior Rokach
2018	—	`conf`	Evaluation of a Design Method for Graph Database. BPMDS/EMMSAD@CAiSE Noa Roy-Hubara, Lior Rokach, Bracha Shapira, Peretz Shoval
2018	J	`jnl`	FSCOAL - Parallel simultaneous fuzzy co-clustering and learning. Int. J. Intell. Syst. David Biton, Meir Kalech, Lior Rokach
2018	A	`conf`	Generic Black-Box End-to-End Attack Against State of the Art API Call Based Malware Classifiers. RAID Ishai Rosenberg, Asaf Shabtai, Lior Rokach, Yuval Elovici
2018	A	`conf`	Identifying Informational vs. Conversational Questions on Community Question Answering Archives. WSDM Ido Guy, Victor Makarenkov, Niva Hazon, Lior Rokach, Bracha Shapira
2018	J	`jnl`	Inferring contextual preferences using deep encoder-decoder learners. New Rev. Hypermedia Multim. Moshe Unger, Bracha Shapira, Lior Rokach, Amit Livne
2018	J	`jnl`	Low Resource Black-Box End-to-End Attack Against State of the Art API Call Based Malware Classifiers. CoRR Ishai Rosenberg, Asaf Shabtai, Yuval Elovici, Lior Rokach
2018	J	`jnl`	Personal price aware multi-seller recommender system: Evidence from eBay. Knowl. Based Syst. Asnat Greenstein-Messica, Lior Rokach
2018	A	`conf`	Predict Demographic Information Using Word2vec on Spatial Trajectories. UMAP Adir Solomon, Ariel Bar, Chen Yanai, Bracha Shapira, Lior Rokach
2018	—	`conf`	Simulating User Activity for Assessing Effect of Sampling on DB Activity Monitoring Anomaly Detection. PADG@ESORICS Hagit Grushka-Cohen, Ofer Biller, Oded Sofer, Lior Rokach, Bracha Shapira
2018	J	`jnl`	Taxonomy of mobile users' security awareness. Comput. Secur. Ron Bitton, Andrey Finkelshtein, Lior Sidi, Rami Puzis, Lior Rokach, Asaf Shabtai
2018	—	`conf`	Utilizing Sequences of Touch Gestures for User Verification on Mobile Devices. PAKDD (3) Liron Ben Kimon, Yisroel Mirsky, Lior Rokach, Bracha Shapira
2018	J	`jnl`	Wikibook-Bot - Automatic Generation of a Wikipedia Book. CoRR Shahar Admati, Lior Rokach, Bracha Shapira
2017	J	`jnl`	A hybrid approach for improving unsupervised fault detection for robotic systems. Expert Syst. Appl. Eliahu Khalastchi, Meir Kalech, Lior Rokach
2017	J	`jnl`	Anomaly detection for smartphone data streams. Pervasive Mob. Comput. Yisroel Mirsky, Asaf Shabtai, Bracha Shapira, Yuval Elovici, Lior Rokach
2017	—	`conf`	Application Marketplace Malware Detection by User Feedback Analysis. ICISSP (Revised Selected Papers) Tal Hadad, Rami Puzis, Bronislav Sidik, Nir Ofek, Lior Rokach
2017	J	`jnl`	Ensembles of classifiers based on dimensionality reduction. Intell. Data Anal. Alon Schclar, Lior Rokach, Amir Amit
2017	J	`jnl`	Fast-CBUS: A fast clustering-based undersampling method for addressing the class imbalance problem. Neurocomputing Nir Ofek, Lior Rokach, Roni Stern, Asaf Shabtai
2017	J	`jnl`	Generic Black-Box End-to-End Attack against RNNs and Other API Calls Based Malware Classifiers. CoRR Ishai Rosenberg, Asaf Shabtai, Lior Rokach, Yuval Elovici
2017	A	`conf`	Inferring Contextual Preferences Using Deep Auto-Encoding. UMAP Moshe Unger, Bracha Shapira, Lior Rokach, Ariel Bar
2017	J	`jnl`	MindDesktop: a general purpose brain computer interface. CoRR Ori Ossmy, Ofir Tam, Rami Puzis, Lior Rokach, Ohad Inbar, Yuval Elovici
2017	J	`jnl`	Modeling Graph Database Schema. IT Prof. Noa Roy-Hubara, Lior Rokach, Bracha Shapira, Peretz Shoval
2017	J	`jnl`	Personal-discount sensitivity prediction for mobile coupon conversion optimization. J. Assoc. Inf. Sci. Technol. Asnat Greenstein-Messica, Lior Rokach, Asaf Shabtai
2017	J	`jnl`	Predicting Relevance Scores for Triples from Type-Like Relations using Neural Embedding - The Cabbage Triple Scorer at WSDM Cup 2017. CoRR Yael Brumer, Bracha Shapira, Lior Rokach, Oren Barkan
2017	J	`jnl`	Sampling High Throughput Data for Anomaly Detection of Data-Base Activity. CoRR Hagit Grushka-Cohen, Oded Sofer, Ofer Biller, Michael Dymshits, Lior Rokach, Bracha Shapira
2017	—	`conf`	Scholarly Digital Libraries as a Platform for Malware Distribution. SG-CRC Nir Nissim, Aviad Cohen, Jian Wu, Andrea Lanzi, Lior Rokach, Yuval Elovici, C. Lee Giles
2017	A	`conf`	Session-Based Recommendations Using Item Embedding. IUI Asnat Greenstein-Messica, Lior Rokach, Michael Friedmann
2017	C	`conf`	User Feedback Analysis for Mobile Malware Detection. ICISSP Tal Hadad, Bronislav Sidik, Nir Ofek, Rami Puzis, Lior Rokach
2017	A	`conf`	User Verification on Mobile Devices Using Sequences of Touch Gestures. UMAP Liron Ben Kimon, Yisroel Mirsky, Lior Rokach, Bracha Shapira
2017	J	`jnl`	Wikiometrics: a Wikipedia based ranking system. World Wide Web Gilad Katz, Lior Rokach
2016	J	`jnl`	ALDROID: efficient update of Android anti-virus software using designated active learning methods. Knowl. Inf. Syst. Nir Nissim, Robert Moskovitch, Oren Bar-Ad, Lior Rokach, Yuval Elovici
2016	J	`jnl`	An ensemble method for top-N recommendations from the SVD. Expert Syst. Appl. David Ben-Shimon, Lior Rokach, Bracha Shapira
2016	J	`jnl`	Anytime Algorithms for Recommendation Service Providers. ACM Trans. Intell. Syst. Technol. David Ben-Shimon, Lior Rokach, Guy Shani, Bracha Shapira
2016	J	`jnl`	Behavioral Study of Users When Interacting with Active Honeytokens. ACM Trans. Inf. Syst. Secur. Asaf Shabtai, Maya Bercovitch, Lior Rokach, Ya'akov (Kobi) Gal, Yuval Elovici, Erez Shmueli
2016	A	`conf`	CyberRank: Knowledge Elicitation for Risk Assessment of Database Security. CIKM Hagit Grushka-Cohen, Oded Sofer, Ofer Biller, Bracha Shapira, Lior Rokach
2016	J	`jnl`	Decision forest: Twenty years of research. Inf. Fusion Lior Rokach
2016	—	`conf`	Deep Auto-Encoding for Context-Aware Inference of Preferred Items' Categories. RecSys Posters Moshe Unger, Bracha Shapira, Lior Rokach, Ariel Bar
2016	—	`conf`	Identifying Attack Propagation Patterns in Honeypots Using Markov Chains Modeling and Complex Networks Analysis. SwSTE Ariel Bar, Bracha Shapira, Lior Rokach, Moshe Unger
2016	J	`jnl`	Language Models with GloVe Word Embeddings. CoRR Victor Makarenkov, Bracha Shapira, Lior Rokach
2016	J	`jnl`	Leveraging metadata to recommend keywords for academic papers. J. Assoc. Inf. Sci. Technol. Ido Blank, Lior Rokach, Guy Shani
2016	J	`jnl`	Matching entities across online social networks. Neurocomputing Olga Peled, Michael Fire, Lior Rokach, Yuval Elovici
2016	J	`jnl`	Mobile security and privacy: Advances, challenges and future research directions. Pervasive Mob. Comput. Kim-Kwang Raymond Choo, Lior Rokach, Claudio Bettini
2016	—	`ed.`	Proceedings of the 1st Workshop on Deep Learning for Recommender Systems, DLRS@RecSys 2016, Boston, MA, USA, September 15, 2016 DLRS@RecSys Alexandros Karatzoglou, Balázs Hidasi, Domonkos Tikk, Oren Sar Shalom, Haggai Roitman, Bracha Shapira, Lior Rokach
2016	—	`conf`	Publishing Differentially Private Medical Events Data. CD-ARES Sigal Shaked, Lior Rokach
2016	A	`conf`	RecSys'16 Workshop on Deep Learning for Recommender Systems (DLRS). RecSys Alexandros Karatzoglou, Balázs Hidasi, Domonkos Tikk, Oren Sar Shalom, Haggai Roitman, Bracha Shapira, Lior Rokach
2016	J	`jnl`	Recommender systems for product bundling. Knowl. Based Syst. Moran Beladev, Lior Rokach, Bracha Shapira
2016	J	`jnl`	Reducing preference elicitation in group decision making. Expert Syst. Appl. Lihi Naamani Dery, Meir Kalech, Lior Rokach, Bracha Shapira
2016	J	`jnl`	SFEM: Structural feature extraction methodology for the detection of malicious office documents using machine learning methods. Expert Syst. Appl. Aviad Cohen, Nir Nissim, Lior Rokach, Yuval Elovici
2016	—	`conf`	Scalable attack propagation model and algorithms for honeypot systems. IEEE BigData Ariel Bar, Bracha Shapira, Lior Rokach, Moshe Unger
2016	—	`conf`	SherLock vs Moriarty: A Smartphone Dataset for Cybersecurity Research. AISec@CCS Yisroel Mirsky, Asaf Shabtai, Lior Rokach, Bracha Shapira, Yuval Elovici
2016	J	`jnl`	Towards latent context-aware recommendation systems. Knowl. Based Syst. Moshe Unger, Ariel Bar, Bracha Shapira, Lior Rokach
2016	J	`jnl`	Unsupervised Commonsense Knowledge Enrichment for Domain-Specific Sentiment Analysis. Cogn. Comput. Nir Ofek, Soujanya Poria, Lior Rokach, Erik Cambria, Amir Hussain, Asaf Shabtai
2016	J	`jnl`	Utilizing transfer learning for in-domain collaborative filtering. Knowl. Based Syst. Edita Grolman, Ariel Bar, Bracha Shapira, Lior Rokach, Aviram Dayan
2016	J	`jnl`	Virtual Breathalyzer. CoRR Ben Nassi, Lior Rokach, Yuval Elovici
2016	J	`jnl`	Wikiometrics: A Wikipedia Based Ranking System. CoRR Gilad Katz, Lior Rokach
2016	J	`jnl`	XML-AD: Detecting anomalous patterns in XML documents. Inf. Sci. Eitan Menahem, Alon Schclar, Lior Rokach, Yuval Elovici
2015	A	`conf`	"Please, Not Now!": A Model for Timing Recommendations. RecSys Nofar Dali Betzalel, Bracha Shapira, Lior Rokach
2015	J	`jnl`	A classifier to determine which Wikipedia biographies will be accepted. J. Assoc. Inf. Sci. Technol. Nir Ofek, Lior Rokach
2015	—	`conf`	Fast Item-Based Collaborative Filtering. ICAART (2) David Ben-Shimon, Lior Rokach, Bracha Shapira, Guy Shani
2015	J	`jnl`	Fast and space-efficient shapelets-based time-series classification. Intell. Data Anal. Daniel Gordon, Danny Hendler, Lior Rokach
2015	—	`conf`	In-House Solution for the RecSys Challenge 2015. RecSys Challenge Nadav Cohen, Adi Gerzi, David Ben-Shimon, Bracha Shapira, Lior Rokach, Michael Friedmann
2015	J	`jnl`	Local-shapelets for fast classification of spectrographic measurements. Expert Syst. Appl. Daniel Gordon, Danny Hendler, Aryeh Kontorovich, Lior Rokach
2015	—	`ed.`	Proceedings of the 2015 International ACM Recommender Systems Challenge, RecSys Challenge 2015, Vienna, Austria, September 16-20, 2015 RecSys Challenge David Ben-Shimon, Michael Friedmann, Lior Rokach, Bracha Shapira
2015	A	`conf`	RecSys Challenge 2015 and the YOOCHOOSE Dataset. RecSys David Ben-Shimon, Alexander Tsikinovsky, Michael Friedmann, Bracha Shapira, Lior Rokach, Johannes Hoerle
2015	—	`book`	Recommender Systems Handbook Francesco Ricci, Lior Rokach, Bracha Shapira
2015	—	`conf`	Recommender Systems for Product Bundling. RecSys Posters Moran Beladev, Bracha Shapira, Lior Rokach
2015	—	`ch.`	Recommender Systems: Introduction and Challenges. Recommender Systems Handbook Francesco Ricci, Lior Rokach, Bracha Shapira
2015	B	`conf`	Search Problems in the Domain of Multiplication: Case Study on Anomaly Detection Using Markov Chains. SOCS Yisroel Mirsky, Aviad Cohen, Roni Stern, Ariel Felner, Lior Rokach, Yuval Elovici, Bracha Shapira
2015	—	`conf`	The Importance of Pronouns to Sentiment Analysis: Online Cancer Survivor Network Case Study. WWW (Companion Volume) Nir Ofek, Lior Rokach, Cornelia Caragea, John Yen
2015	Misc	`conf`	Theoretical Categorization of Query Performance Predictors. ICTIR Victor Makarenkov, Bracha Shapira, Lior Rokach
2015	—	`conf`	Unknown malware detection using network traffic classification. CNS Dmitri Bekerman, Bracha Shapira, Lior Rokach, Ariel Bar
2015	—	`conf`	pcStream: A Stream Clustering Algorithm for Dynamically Detecting and Managing Temporal Contexts. PAKDD (2) Yisroel Mirsky, Bracha Shapira, Lior Rokach, Yuval Elovici
2014	A	`conf`	A hybrid approach for fault detection in autonomous physical agents. AAMAS Eliahu Khalastchi, Meir Kalech, Lior Rokach
2014	—	`ch.`	Adapted Features and Instance Selection for Improving Co-training. Interactive Knowledge Discovery and Data Mining in Biomedical Informatics Gilad Katz, Asaf Shabtai, Lior Rokach
2014	J	`jnl`	ConfDTree: A Statistical Method for Improving Decision Trees. J. Comput. Sci. Technol. Gilad Katz, Asaf Shabtai, Lior Rokach, Nir Ofek
2014	—	`conf`	Contexto: lessons learned from mobile context inference. UbiComp Adjunct Moshe Unger, Lior Rokach, Ariel Bar, Ehud Gudes, Bracha Shapira
2014	—	`book`	Data Mining with Decision Trees - Theory and Applications. 2 Lior Rokach, Oded Maimon
2014	—	`conf`	Dependency Tree-Based Rules for Concept-Level Aspect-Based Sentiment Analysis. SemWebEval@ESWC Soujanya Poria, Nir Ofek, Alexander F. Gelbukh, Amir Hussain, Lior Rokach
2014	J	`jnl`	Ensemble methods for multi-label classification. Expert Syst. Appl. Lior Rokach, Alon Schclar, Ehud Itach
2014	J	`jnl`	Matching Entities Across Online Social Networks. CoRR Olga Peled, Michael Fire, Lior Rokach, Yuval Elovici
2014	—	`conf`	Methodology for Connecting Nouns to Their Modifying Adjectives. CICLing (1) Nir Ofek, Lior Rokach, Prasenjit Mitra
2014	J	`jnl`	Mobile malware detection through analysis of deviations in application network behavior. Comput. Secur. Asaf Shabtai, Lena Tenenboim-Chekina, Dudu Mimran, Lior Rokach, Bracha Shapira, Yuval Elovici
2014	J	`jnl`	Novel active learning methods for enhanced PC malware detection in windows OS. Expert Syst. Appl. Nir Nissim, Robert Moskovitch, Lior Rokach, Yuval Elovici
2014	J	`jnl`	OCCT: A One-Class Clustering Tree for Implementing One-to-Many Data Linkage. IEEE Trans. Knowl. Data Eng. Ma'ayan Dror, Asaf Shabtai, Lior Rokach, Yuval Elovici
2014	—	`conf`	Preference Elicitation for Group Decisions. GDN Lihi Naamani Dery, Inon Golan, Meir Kalech, Lior Rokach
2014	A	`conf`	Preference elicitation for narrowing the recommended list for groups. RecSys Lihi Naamani Dery, Meir Kalech, Lior Rokach, Bracha Shapira
2014	—	`book`	Proactive Data Mining with Decision Trees Haim Dahan, Shahar Cohen, Lior Rokach, Oded Maimon
2014	J	`jnl`	Reaching a joint decision with minimal elicitation of voter preferences. Inf. Sci. Lihi Naamani Dery, Meir Kalech, Lior Rokach, Bracha Shapira
2014	J	`jnl`	Reaction to New Security Threat Class. CoRR Yuval Elovici, Lior Rokach
2014	J	`jnl`	Survival Analysis of Automobile Components Using Mutually Exclusive Forests. IEEE Trans. Syst. Man Cybern. Syst. Ayelet Eyal, Lior Rokach, Meir Kalech, Ofra Amir, Rahul Chougule, Rajkumar Vaidyanathan, Kallappa Pattada
2014	—	`conf`	Unsupervised Fine-Grained Sentiment Analysis System Using Lexicons and Concepts. SemWebEval@ESWC Nir Ofek, Lior Rokach
2014	A*	`conf`	Wikipedia-based query performance prediction. SIGIR Gilad Katz, Anna Shtok, Oren Kurland, Bracha Shapira, Lior Rokach
2013	A	`conf`	2013 international workshop on computational scientometrics: theory and applications. CIKM Cornelia Caragea, C. Lee Giles, Lior Rokach, Xiaozhong Liu
2013	J	`jnl`	A GIS-based decision support system for hotel room rate estimation and temporal price prediction: The hotel brokers' context. Decis. Support Syst. Slava Kisilevich, Daniel A. Keim, Lior Rokach
2013	—	`conf`	A fast and scalable method for threat detection in large-scale DNS logs. IEEE BigData Ron Begleiter, Yuval Elovici, Yona Hollander, Ori Mendelson, Lior Rokach, Roi Saltzman
2013	—	`conf`	A figure search engine architecture for a chemistry digital library. JCDL Sagnik Ray Choudhury, Suppawong Tuarob, Prasenjit Mitra, Lior Rokach, Andi Kirk, Silvia Szep, Donald A. Pellegrino, Sue Jones, Clyde Lee Giles
2013	A	`conf`	Combining one-class classifiers via meta learning. CIKM Eitan Menahem, Lior Rokach, Yuval Elovici
2013	J	`jnl`	Computationally efficient link prediction in a variety of social networks. ACM Trans. Intell. Syst. Technol. Michael Fire, Lena Tenenboim-Chekina, Rami Puzis, Ofrit Lesser, Lior Rokach, Yuval Elovici
2013	J	`jnl`	Ensemble Methods for Multi-label Classification. CoRR Lior Rokach, Alon Schclar, Ehud Itach
2013	—	`conf`	Ensemble of Feature Chains for Anomaly Detection. MCS Lena Tenenboim-Chekina, Lior Rokach, Bracha Shapira
2013	J	`jnl`	Ensembles of Classifiers based on Dimensionality Reduction CoRR Alon Schclar, Lior Rokach, Amir Amit
2013	—	`conf`	Entity Matching in Online Social Networks. SocialCom Olga Peled, Michael Fire, Lior Rokach, Yuval Elovici
2013	J	`jnl`	Exploiting label dependencies for improved sample complexity. Mach. Learn. Lena Chekina, Dan Gutfreund, Aryeh Kontorovich, Lior Rokach, Bracha Shapira
2013	J	`jnl`	Facebook single and cross domain data for recommendation systems. User Model. User Adapt. Interact. Bracha Shapira, Lior Rokach, Shirley Freilikhman
2013	J	`jnl`	Guest editorial: Special issue on data mining for information security. Inf. Sci. Yuval Elovici, Lior Rokach, Sahin Albayrak
2013	J	`jnl`	Highlighting items as means of adaptive assistance. Behav. Inf. Technol. Liat Antwarg, Talia Lavie, Lior Rokach, Bracha Shapira, Joachim Meyer
2013	—	`conf`	IP2User - Identifying the Username of an IP Address in Network-Related Events. BigData Congress Asaf Shabtai, Idan Morad, Eyal Kolman, Ereli Eran, Alex Vaystikh, Eyal Gruss, Lior Rokach, Yuval Elovici
2013	—	`conf`	Improving Sentiment Analysis in an Online Cancer Survivor Community Using Dynamic Sentiment Lexicon. SOCIETY Nir Ofek, Cornelia Caragea, Lior Rokach, Prakhar Biyani, Prasenjit Mitra, John Yen, Kenneth Portier, Greta E. Greer
2013	—	`conf`	Improving Simple Collaborative Filtering Models Using Ensemble Methods. MCS Ariel Bar, Lior Rokach, Guy Shani, Bracha Shapira, Alon Schclar
2013	—	`conf`	Intruder or Welcome Friend: Inferring Group Membership in Online Social Networks. SBP Ofrit Lesser, Lena Tenenboim-Chekina, Lior Rokach, Yuval Elovici
2013	J	`jnl`	Investigating confidence displays for top- J. Assoc. Inf. Sci. Technol. Guy Shani, Lior Rokach, Bracha Shapira, Sarit Hadash, Moran Tangi
2013	A	`conf`	Leveraging the citation graph to recommend keywords. RecSys Ido Blank, Lior Rokach, Guy Shani
2013	—	`conf`	Linking Motif Sequences with Tale Types by Machine Learning. CMN Nir Ofek, Sándor Darányi, Lior Rokach
2013	A*	`conf`	Machine-Learning-Based Circuit Synthesis. IJCAI Lior Rokach, Meir Kalech, Gregory M. Provan, Alexander Feldman
2013	J	`jnl`	Optimizing Data Misuse Detection. ACM Trans. Knowl. Discov. Data Asaf Shabtai, Maya Bercovitch, Lior Rokach, Yuval Elovici
2013	J	`jnl`	Parsimonious citer-based measures: The artificial intelligence domain as a case study. J. Assoc. Inf. Sci. Technol. Lior Rokach, Prasenjit Mitra
2013	—	`ed.`	Proceedings of the 2013 workshop on Computational scientometrics: theory & applications, CompSci@CIKM 2013, San Francisco, California, USA, October 28, 2013 CompSci@CIKM Cornelia Caragea, C. Lee Giles, Lior Rokach, Xiaozhong Liu
2013	Misc	`conf`	Recommending insurance riders. SAC Lior Rokach, Guy Shani, Bracha Shapira, Eyal Chapnik, Gali Siboni
2013	A	`conf`	Sensor fault detection and diagnosis for autonomous systems. AAMAS Eliahu Khalastchi, Meir Kalech, Lior Rokach
2013	J	`jnl`	The CASH algorithm-cost-sensitive attribute selection using histograms. Inf. Sci. Yael Weiss, Yuval Elovici, Lior Rokach
2013	—	`conf`	Transfer Learning for Content-Based Recommender Systems Using Tree Matching. CD-ARES Naseem Biadsy, Lior Rokach, Armin Shmilovici
2013	J	`jnl`	Transfer Learning for Content-Based Recommender Systems using Tree Matching CoRR Naseem Biadsy, Lior Rokach, Armin Shmilovici
2013	A	`conf`	Using geospatial metadata to boost collaborative filtering. RecSys Alexander Ostrikov, Lior Rokach, Bracha Shapira
2012	—	`book`	A Survey of Data Leakage Detection and Prevention Solutions. Asaf Shabtai, Yuval Elovici, Lior Rokach
2012	B	`conf`	An Exploration of Research Directions in Machine Ensemble Theory and Applications. ESANN Aníbal R. Figueiras-Vidal, Lior Rokach
2012	J	`jnl`	Applying the Publication Power Approach to Artificial Intelligence Journals. J. Assoc. Inf. Sci. Technol. Lior Rokach
2012	J	`jnl`	Attribute-Driven Hidden Markov Model Trees for Intention Prediction. IEEE Trans. Syst. Man Cybern. Part C Liat Antwarg, Lior Rokach, Bracha Shapira
2012	J	`jnl`	Automatic discovery of the root causes for quality drift in high dimensionality manufacturing processes. J. Intell. Manuf. Lior Rokach, Dan Hutter
2012	J	`jnl`	Boosting Simple Collaborative Filtering Models Using Ensemble Methods CoRR Ariel Bar, Lior Rokach, Guy Shani, Bracha Shapira, Alon Schclar
2012	A*	`conf`	ConfDTree: Improving Decision Trees Using Confidence Intervals. ICDM Gilad Katz, Asaf Shabtai, Lior Rokach, Nir Ofek
2012	J	`jnl`	Detecting unknown computer worm activity via support vector machines and active learning. Pattern Anal. Appl. Nir Nissim, Robert Moskovitch, Lior Rokach, Yuval Elovici
2012	J	`jnl`	Detection of Deviations in Mobile Applications Network Behavior CoRR Lena Chekina, Dudu Mimran, Lior Rokach, Yuval Elovici, Bracha Shapira
2012	C	`conf`	Diffusion Ensemble Classifiers. IJCCI Alon Schclar, Lior Rokach, Amir Amit
2012	J	`jnl`	Fast Randomized Model Generation for Shapelet-Based Time Series Classification CoRR Daniel Gordon, Danny Hendler, Lior Rokach
2012	J	`jnl`	Initial Profile Generation in Recommender Systems Using Pairwise Comparison. IEEE Trans. Syst. Man Cybern. Part C Lior Rokach, Slava Kisilevich
2012	B	`conf`	Introducing diversity among the models of multi-label classification ensemble. ESANN Lena Chekina, Lior Rokach, Bracha Shapira
2012	J	`jnl`	Limiting disclosure of sensitive data in sequential releases of databases. Inf. Sci. Erez Shmueli, Tamir Tassa, Raz Wasserstein, Bracha Shapira, Lior Rokach
2012	J	`jnl`	M-Score: A Misuseability Weight Measure. IEEE Trans. Dependable Secur. Comput. Amir Harel, Asaf Shabtai, Lior Rokach, Yuval Elovici
2012	J	`jnl`	Mal-ID: Automatic Malware Detection Using Common Segment Analysis and Meta-Features. J. Mach. Learn. Res. Gil Tahan, Lior Rokach, Yuval Shahar
2012	—	`conf`	Predicting Student Exam's Scores by Analyzing Social Network Data. AMT Michael Fire, Gilad Katz, Yuval Elovici, Bracha Shapira, Lior Rokach
2012	A	`conf`	Recommending citations: translating papers into references. CIKM Wenyi Huang, Saurabh Kataria, Cornelia Caragea, Prasenjit Mitra, C. Lee Giles, Lior Rokach
2012	J	`jnl`	Securing Your Transactions: Detecting Anomalous Patterns In XML Documents CoRR Eitan Menahem, Alon Schclar, Lior Rokach, Yuval Elovici
2012	J	`jnl`	Social Network Based Search for Experts CoRR Yehonatan Bitton, Michael Fire, Dima Kagan, Bracha Shapira, Lior Rokach, Judit Bar-Ilan
2012	A	`conf`	TALMUD: transfer learning for multiple domains. CIKM Orly Moreno, Bracha Shapira, Lior Rokach, Guy Shani
2012	J	`jnl`	User Authentication Based on Representative Users. IEEE Trans. Syst. Man Cybern. Part C Alon Schclar, Lior Rokach, Adi Abramson, Yuval Elovici
2012	J	`jnl`	User identity verification via mouse dynamics. Inf. Sci. Clint Feher, Yuval Elovici, Robert Moskovitch, Lior Rokach, Alon Schclar
2012	J	`jnl`	Using Wikipedia to Boost SVD Recommender Systems CoRR Gilad Katz, Guy Shani, Bracha Shapira, Lior Rokach
2012	J	`jnl`	k-anonymised reducts. Int. J. Granul. Comput. Rough Sets Intell. Syst. Lior Rokach, Alon Schclar
2011	J	`jnl`	Combining One-Class Classifiers via Meta-Learning CoRR Eitan Menahem, Lior Rokach, Yuval Elovici
2011	—	`conf`	Developing a Price Management Decision Support System for Hotel Brokers using Free and Open Source Tools. ICEIS (2) Slava Kisilevich, Daniel A. Keim, Roman Byshko, Michael Tsibelman, Lior Rokach
2011	C	`conf`	Dynamic Sensitivity-Based Access Control. ISI Amir Harel, Asaf Shabtai, Lior Rokach, Yuval Elovici
2011	B	`conf`	Eliciting domain expert misuseability conceptions. K-CAP Amir Harel, Asaf Shabtai, Lior Rokach, Yuval Elovici
2011	C	`conf`	HoneyGen: An automated honeytokens generator. ISI Maya Bercovitch, Meir Renford, Lior Hasson, Asaf Shabtai, Lior Rokach, Yuval Elovici
2011	—	`ch.`	Introduction to Recommender Systems Handbook. Recommender Systems Handbook Francesco Ricci, Lior Rokach, Bracha Shapira
2011	—	`conf`	Link Prediction in Social Networks Using Computationally Efficient Topological Features. SocialCom/PASSAT Michael Fire, Lena Tenenboim, Ofrit Lesser, Rami Puzis, Lior Rokach, Yuval Elovici
2011	—	`conf`	Meta-learning for Selecting a Multi-label Classification Algorithm. ICDM Workshops Lena Chekina, Lior Rokach, Bracha Shapira
2011	—	`conf`	MindDesktop - Computer Accessibility for Severely Handicapped. ICEIS (4) Ori Ossmy, Ofir Tam, Rami Puzis, Lior Rokach, Ohad Inbar, Yuval Elovici
2011	A*	`conf`	Poster: applying unsupervised context-based analysis for detecting unauthorized data disclosure. CCS Ma'ayan Gafny, Asaf Shabtai, Lior Rokach, Yuval Elovici
2011	—	`book`	Recommender Systems Handbook Recommender Systems Handbook Francesco Ricci, Lior Rokach, Bracha Shapira, Paul B. Kantor
2011	—	`conf`	Recommenders Benchmark Framework. IICS Lior Rokach, Karl-Heinz Lüke, Aykan Aydin, Roland Schwaiger
2011	A	`conf`	Recommenders benchmark framework. RecSys Aviram Dayan, Guy Katz, Naseem Biasdi, Lior Rokach, Bracha Shapira, Aykan Aydin, Roland Schwaiger, Radmila Fishel
2011	A	`conf`	Using Wikipedia to boost collaborative filtering techniques. RecSys Gilad Katz, Nir Ofek, Bracha Shapira, Lior Rokach, Guy Shani
2011	J	`jnl`	Who is going to win the next Association for the Advancement of Artificial Intelligence Fellowship Award? Evaluating researchers by mining bibliographic data. J. Assoc. Inf. Sci. Technol. Lior Rokach, Meir Kalech, Ido Blank, Rami Stern
2010	—	`conf`	A Decision Tree Based Recommender System. IICS Amir Gershman, Amnon Meisels, Karl-Heinz Lüke, Lior Rokach, Alon Schclar, Arnon Sturm
2010	—	`conf`	A Novel Approach to Mining Travel Sequences Using Collections of Geotagged Photos. AGILE Conf. Slava Kisilevich, Daniel A. Keim, Lior Rokach
2010	—	`ch.`	A survey of Clustering Algorithms. Data Mining and Knowledge Discovery Handbook Lior Rokach
2010	—	`conf`	Analyzing Group Communication for Preventing Accidental Data Leakage via Email. CollSec Polina Zilberman, Asaf Shabtai, Lior Rokach
2010	J	`jnl`	Auto-Sign: an automatic signature generator for high-speed malware filtering devices. J. Comput. Virol. Gil Tahan, Chanan Glezer, Yuval Elovici, Lior Rokach
2010	—	`ch.`	Classification Trees. Data Mining and Knowledge Discovery Handbook Lior Rokach, Oded Maimon
2010	C	`conf`	Continuous Verification Using Keystroke Dynamics. CIS Tomer Shimshon, Robert Moskovitch, Lior Rokach, Yuval Elovici
2010	—	`conf`	Cost-Sensitive Detection of Malicious Applications in Mobile Devices. MobiCASE Yael Weiss, Yuval Fledel, Yuval Elovici, Lior Rokach
2010	—	`book`	Data Mining and Knowledge Discovery Handbook, 2nd ed. Data Mining and Knowledge Discovery Handbook, 2nd ed. Oded Maimon, Lior Rokach
2010	—	`ch.`	Data Mining using Decomposition Methods. Data Mining and Knowledge Discovery Handbook Lior Rokach, Oded Maimon
2010	—	`conf`	Detecting data misuse by applying context-based data linkage. Insider Threats@CCS Ma'ayan Gafny, Asaf Shabtai, Lior Rokach, Yuval Elovici
2010	—	`conf`	Developing Analytical GIS Applications with GEO-SPADE: Three Success Case Studies. ICEIS Slava Kisilevich, Daniel A. Keim, Amit Lasry, Leon Bam, Lior Rokach
2010	J	`jnl`	Efficient Multidimensional Suppression for K-Anonymity. IEEE Trans. Knowl. Data Eng. Slava Kisilevich, Lior Rokach, Yuval Elovici, Bracha Shapira
2010	—	`ch.`	Ensemble Methods in Supervised Learning. Data Mining and Knowledge Discovery Handbook Lior Rokach
2010	J	`jnl`	Ensemble-based classifiers. Artif. Intell. Rev. Lior Rokach
2010	—	`conf`	GEO-SPADE - A Generic Google Earth-based Framework for Analyzing and Exploring Spatio-temporal Data. ICEIS (5) Slava Kisilevich, Daniel A. Keim, Lior Rokach
2010	—	`ch.`	Introduction to Knowledge Discovery and Data Mining. Data Mining and Knowledge Discovery Handbook Oded Maimon, Lior Rokach
2010	A	`conf`	Iterative voting under uncertainty for group recommender systems. RecSys Lihi Naamani Dery, Meir Kalech, Lior Rokach, Bracha Shapira
2010	—	`conf`	M-score: estimating the potential damage of data leakage incident by assigning misuseability weight. Insider Threats@CCS Amir Harel, Asaf Shabtai, Lior Rokach, Yuval Elovici
2010	J	`jnl`	Privacy-preserving data mining: A feature set partitioning approach. Inf. Sci. Nissim Matatov, Lior Rokach, Oded Maimon
2010	—	`ch.`	Supervised Learning. Data Mining and Knowledge Discovery Handbook Lior Rokach, Oded Maimon
2010	—	`ch.`	Using Fuzzy Logic in Data Mining. Data Mining and Knowledge Discovery Handbook Lior Rokach
2010	Misc	`conf`	k-Anonymized Reducts. GrC Lior Rokach, Alon Schclar
2009	—	`ch.`	A Survey of Feature Selection Techniques. Encyclopedia of Data Warehousing and Mining Barak Chizi, Lior Rokach, Oded Maimon
2009	J	`jnl`	Active learning using pessimistic expectation estimators. Control. Cybern. Lior Rokach, Lihi Naamani, Armin Shmilovici
2009	—	`ch.`	An Overview of IDS Using Anomaly Detection. Database Technologies: Concepts, Methodologies, Tools, and Applications Lior Rokach, Yuval Elovici
2009	J	`jnl`	Collective-agreement-based pruning of ensembles. Comput. Stat. Data Anal. Lior Rokach
2009	—	`ch.`	Data Mining for Improving Manufacturing Processes. Encyclopedia of Data Warehousing and Mining Lior Rokach
2009	A	`conf`	Ensemble methods for improving the performance of neighborhood-based collaborative filtering. RecSys Alon Schclar, Alexander Tsikinovsky, Lior Rokach, Amnon Meisels, Liat Antwarg
2009	C	`conf`	Identity theft, computers and behavioral biometrics. ISI Robert Moskovitch, Clint Feher, Arik Messerman, Niklas Kirschnick, Tarik Mustafic, Seyit Ahmet Çamtepe, Bernhard Löhlein, Ulrich Heister, Sebastian Möller, Lior Rokach, Yuval Elovici
2009	J	`jnl`	Improving malware detection by applying multi-inducer ensemble. Comput. Stat. Data Anal. Eitan Menahem, Asaf Shabtai, Lior Rokach, Yuval Elovici
2009	—	`ch.`	Incorporating Fuzzy Logic in Data Mining Tasks. Encyclopedia of Artificial Intelligence Lior Rokach
2009	—	`book`	Pattern Classification Using Ensemble Methods Lior Rokach
2009	—	`conf`	Random Projection Ensemble Classifiers. ICEIS Alon Schclar, Lior Rokach
2009	J	`jnl`	Taxonomy for characterizing ensemble methods in classification tasks: A review and annotated bibliography. Comput. Stat. Data Anal. Lior Rokach
2009	J	`jnl`	Troika - An improved stacking schema for classification tasks. Inf. Sci. Eitan Menahem, Lior Rokach, Yuval Elovici
2008	J	`jnl`	An evolutionary algorithm for constructing a decision forest: Combining the classification of disjoints decision trees. Int. J. Intell. Syst. Lior Rokach
2008	—	`conf`	Anytime AHP Method for Preferences Elicitation in Stereotype-Based Recommender System. ICEIS (2) Lior Rokach, Amnon Meisels, Alon Schclar
2008	J	`jnl`	Detection of unknown computer worms based on behavioral classification of the host. Comput. Stat. Data Anal. Robert Moskovitch, Yuval Elovici, Lior Rokach
2008	J	`jnl`	Genetic algorithm-based feature set partitioning for classification problems. Pattern Recognit. Lior Rokach
2008	—	`ch.`	Introduction to Soft Computing for Knowledge Discovery and Data Mining. Soft Computing for Knowledge Discovery and Data Mining Oded Maimon, Lior Rokach
2008	J	`jnl`	Mining manufacturing data using genetic algorithm-based feature set decomposition. Int. J. Intell. Syst. Technol. Appl. Lior Rokach
2008	J	`jnl`	Mining manufacturing databases to discover the effect of operation sequence on the product quality. J. Intell. Manuf. Lior Rokach, Roni Romano, Oded Maimon
2008	J	`jnl`	Negation recognition in medical narrative reports. Inf. Retr. Lior Rokach, Roni Romano, Oded Maimon
2008	J	`jnl`	Pessimistic cost-sensitive active learning of decision trees for profit maximizing targeting campaigns. Data Min. Knowl. Discov. Lior Rokach, Lihi Naamani, Armin Shmilovici
2008	—	`book`	Soft Computing for Knowledge Discovery and Data Mining Oded Maimon, Lior Rokach
2008	—	`ch.`	The Role of Fuzzy Sets in Data Mining. Soft Computing for Knowledge Discovery and Data Mining Lior Rokach
2008	—	`conf`	kACTUS 2: Privacy Preserving in Classification Tasks Using k-Anonymity. ISIPS Slava Kisilevich, Yuval Elovici, Bracha Shapira, Lior Rokach
2007	J	`jnl`	A Methodology for Improving the Performance of Non-Ranker Feature Selection Filters. Int. J. Pattern Recognit. Artif. Intell. Lior Rokach, Barak Chizi, Oded Maimon
2007	—	`book`	Data Mining with Decision Trees - Theory and Applications Lior Rokach, Oded Maimon
2007	J	`jnl`	Decision-tree instance-space decomposition with grouped gain-ratio. Inf. Sci. Shahar Cohen, Lior Rokach, Oded Maimon
2007	C	`conf`	Establishing User Profiles in the MediaScout Recommender System. CIDM Guy Shani, Lior Rokach, Amnon Meisels, Lihi Naamani, Nischal M. Piratla, David Ben-Shimon
2007	—	`conf`	Recommender System from Personal Social Networks. AWIC David Ben-Shimon, Alexander Tsikinovsky, Lior Rokach, Amnon Meisels, Guy Shani, Lihi Naamani
2006	—	`ch.`	A Decision Tree Framework for Semi-Automatic Extraction of Product Attributes from the Web. Advances in Web Intelligence and Data Mining Lior Rokach, Roni Romano, Barak Chizi, Oded Maimon
2006	—	`ch.`	A Decision-Tree Framework for Instance-space Decomposition. Advances in Web Intelligence and Data Mining Shahar Cohen, Lior Rokach, Oded Maimon
2006	—	`conf`	Automatic Discovery of Regular Expression Patterns Representing Negated Findings in Medical Narrative Reports. NGITS Roni Romano, Lior Rokach, Oded Maimon
2006	—	`conf`	Automatic Identification of Negated Concepts in Narrative Clinical Reports. ICEIS (2) Lior Rokach, Roni Romano, Oded Maimon
2006	—	`conf`	Cascaded Data Mining Methods for Text Understanding, with medical case study. ICDM Workshops Roni Romano, Lior Rokach, Oded Maimon
2006	J	`jnl`	Classifier evaluation under limited resources. Pattern Recognit. Lett. Reuven Arbel, Lior Rokach
2006	J	`jnl`	Data Mining for Improving the Quality of Manufacturing: A Feature Set Decomposition Approach. J. Intell. Manuf. Lior Rokach, Oded Maimon
2006	J	`jnl`	Decomposition methodology for classification tasks: a meta decomposer framework. Pattern Anal. Appl. Lior Rokach
2006	—	`ch.`	Feature Selection by Combining Multiple Methods. Advances in Web Intelligence and Data Mining Lior Rokach, Barak Chizi, Oded Maimon
2006	J	`jnl`	Selective Voting - Getting More for Less in Sensor Fusion. Int. J. Pattern Recognit. Artif. Intell. Lior Rokach, Oded Maimon, Reuven Arbel
2005	—	`ch.`	Clustering Methods. The Data Mining and Knowledge Discovery Handbook Lior Rokach, Oded Maimon
2005	—	`ch.`	Decision Trees. The Data Mining and Knowledge Discovery Handbook Lior Rokach, Oded Maimon
2005	—	`book`	Decomposition Methodology for Knowledge Discovery and Data Mining - Theory and Applications Oded Maimon, Lior Rokach
2005	—	`ch.`	Decomposition Methodology for Knowledge Discovery and Data Mining. The Data Mining and Knowledge Discovery Handbook Oded Maimon, Lior Rokach
2005	Misc	`conf`	Decomposition methodology for classification tasks. GrC Lior Rokach, Oded Maimon
2005	—	`ch.`	Ensemble Methods for Classifiers. The Data Mining and Knowledge Discovery Handbook Lior Rokach
2005	J	`jnl`	Feature set decomposition for decision trees. Intell. Data Anal. Lior Rokach, Oded Maimon
2005	J	`jnl`	Improving Supervised Learning by Sample Decomposition. Int. J. Comput. Intell. Appl. Lior Rokach, Oded Maimon, Omri Arad
2005	—	`ch.`	Introduction to Knowledge Discovery in Databases. The Data Mining and Knowledge Discovery Handbook Oded Maimon, Lior Rokach
2005	—	`ch.`	Introduction to Supervised Methods. The Data Mining and Knowledge Discovery Handbook Oded Maimon, Lior Rokach
2005	—	`book`	The Data Mining and Knowledge Discovery Handbook. Oded Maimon, Lior Rokach
2005	J	`jnl`	Top-down induction of decision trees classifiers - a survey. IEEE Trans. Syst. Man Cybern. Part C Lior Rokach, Oded Maimon
2004	—	`conf`	Context-Sensitive Medical Information Retrieval. MedInfo Mordechai Averbuch, Tom H. Karson, Benjamin Ben-Ami, Oded Maimon, Lior Rokach
2004	C	`conf`	Information Retrieval System for Medical Narrative Reports. FQAS Lior Rokach, Oded Maimon, Mordechai Averbuch
2003	C	`conf`	Space Decomposition in Data Mining: A Clustering Approach. ISMIS Lior Rokach, Oded Maimon, Inbal Lavi
2002	—	`conf`	Improving Supervised Learning by Feature Decomposition. FoIKS Oded Maimon, Lior Rokach
2001	A*	`conf`	Theory and Applications of Attribute Decomposition. ICDM Lior Rokach, Oded Maimon