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ORCIDLior Rokach
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- affiliation: Ben-Gurion University, Beersheba, Israel
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2020 – today
- 2021
[i49]Yael Mathov, Lior Rokach, Yuval Elovici:
Enhancing Real-World Adversarial Patches with 3D Modeling Techniques. CoRR abs/2102.05334 (2021)- 2020
- [j99]Amiel Meiseles
, Lior Rokach:
Source Model Selection for Deep Learning in the Time Series Domain. IEEE Access 8: 6190-6200 (2020) - [j98]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: 100914 (2020) - [j97]Itay Hazan, Oded Margalit, Lior Rokach:
Keystroke dynamics obfuscation using key grouping. Expert Syst. Appl. 143 (2020) - [j96]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: 113656 (2020) - [j95]Omer Sagi, Lior Rokach:
Explainable decision forest: Transforming a decision forest into an interpretable tree. Inf. Fusion 61: 124-138 (2020) - [j94]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: 205-237 (2020) - [j93]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): 1298 (2020) - [c108]Ishai Rosenberg, Asaf Shabtai, Yuval Elovici, Lior Rokach:
Query-Efficient Black-Box Attack Against Sequence-Based Malware Classifiers. ACSAC 2020: 611-626 - [c107]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: 464-468 - [c106]Moran Beladev, Lior Rokach, Gilad Katz, Ido Guy, Kira Radinsky:
tdGraphEmbed: Temporal Dynamic Graph-Level Embedding. CIKM 2020: 55-64 - [c105]Doron Laadan, Roman Vainshtein, Yarden Curiel, Gilad Katz, Lior Rokach:
MetaTPOT: Enhancing A Tree-based Pipeline Optimization Tool Using Meta-Learning. CIKM 2020: 2097-2100 - [c104]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: 2749-2756 - [c103]Yuval Heffetz, Roman Vainshtein, Gilad Katz, Lior Rokach:
DeepLine: AutoML Tool for Pipelines Generation using Deep Reinforcement Learning and Hierarchical Actions Filtering. KDD 2020: 2103-2113 - [c102]Hagit Grushka-Cohen, Ofer Biller, Oded Sofer, Lior Rokach, Bracha Shapira:
Using Bandits for Effective Database Activity Monitoring. PAKDD (2) 2020: 701-713 - [c101]Hen Tzaban, Ido Guy, Asnat Greenstein-Messica, Arnon Dagan, Lior Rokach, Bracha Shapira:
Product Bundle Identification using Semi-Supervised Learning. SIGIR 2020: 791-800 - [i48]Sigal Shaked, Amos Zamir, Roman Vainshtein, Moshe Unger, Lior Rokach, Rami Puzis, Bracha Shapira:
Sequence Preserving Network Traffic Generation. CoRR abs/2002.09832 (2020) - [i47]Sigal Shaked, Lior Rokach:
PrivGen: Preserving Privacy of Sequences Through Data Generation. CoRR abs/2002.09834 (2020) - [i46]Asnat Greenstein-Messica, Roman Vainshtein, Gilad Katz, Bracha Shapira, Lior Rokach:
Automatic Machine Learning Derived from Scholarly Big Data. CoRR abs/2003.03470 (2020) - [i45]Eli Simhayev, Gilad Katz, Lior Rokach:
PIVEN: A Deep Neural Network for Prediction Intervals with Specific Value Prediction. CoRR abs/2006.05139 (2020) - [i44]Ishai Rosenberg, Asaf Shabtai, Yuval Elovici, Lior Rokach:
Adversarial Learning in the Cyber Security Domain. CoRR abs/2007.02407 (2020) - [i43]Amit Livne, Roy Dor, Eyal Mazuz, Tamar Didi, Bracha Shapira, Lior Rokach:
Iterative Boosting Deep Neural Networks for Predicting Click-Through Rate. CoRR abs/2007.13087 (2020) - [i42]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 abs/2007.14805 (2020) - [i41]Amit Livne, Eliad Shem Tov, Adir Solomon, Achiya Elyasaf, Bracha Shapira, Lior Rokach:
Evolving Context-Aware Recommender Systems With Users in Mind. CoRR abs/2007.15409 (2020) - [i40]Victor Makarenkov, Lior Rokach:
Lessons Learned from Applying off-the-shelf BERT: There is no Silver Bullet. CoRR abs/2009.07238 (2020) - [i39]Nir Regev, Lior Rokach, Asaf Shabtai:
Approximating Aggregated SQL Queries With LSTM Networks. CoRR abs/2010.13149 (2020) - [i38]Noy Cohen-Shapira, Lior Rokach:
Automatic selection of clustering algorithms using supervised graph embedding. CoRR abs/2011.08225 (2020) - [i37]Ben Nassi, Lior Rokach, Yuval Elovici:
The Age of Testifying Wearable Devices: The Case of Intoxication Detection. IACR Cryptol. ePrint Arch. 2020: 1504 (2020)
2010 – 2019
- 2019
- [j92]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: 110050-110073 (2019) - [j91]Itay Hazan, Oded Margalit, Lior Rokach:
Securing keystroke dynamics from replay attacks. Appl. Soft Comput. 85 (2019) - [j90]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) - [j89]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): 88:1-88:48 (2019) - [j88]Victor Makarenkov, Lior Rokach, Bracha Shapira:
Choosing the right word: Using bidirectional LSTM tagger for writing support systems. Eng. Appl. Artif. Intell. 84: 1-10 (2019) - [j87]Abraham Israeli, Lior Rokach, Asaf Shabtai:
Constraint learning based gradient boosting trees. Expert Syst. Appl. 128: 287-300 (2019) - [j86]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): 1880-1893 (2019) - [j85]Guy Shtar, Bracha Shapira, Lior Rokach:
Clustering Wi-Fi fingerprints for indoor-outdoor detection. Wirel. Networks 25(3): 1341-1359 (2019) - [c100]Noy Cohen-Shapira, Lior Rokach, Bracha Shapira, Gilad Katz, Roman Vainshtein:
AutoGRD: Model Recommendation Through Graphical Dataset Representation. CIKM 2019: 821-830 - [c99]Philip Tannor, Lior Rokach:
AugBoost: Gradient Boosting Enhanced with Step-Wise Feature Augmentation. IJCAI 2019: 3555-3561 - [i36]Victor Makarenkov, Lior Rokach, Bracha Shapira:
Choosing the Right Word: Using Bidirectional LSTM Tagger for Writing Support Systems. CoRR abs/1901.02490 (2019) - [i35]Victor Makarenkov, Ido Guy, Niva Hazon, Tamar Meisels, Bracha Shapira, Lior Rokach:
Implicit Dimension Identification in User-Generated Text with LSTM Networks. CoRR abs/1901.09219 (2019) - [i34]Ishai Rosenberg, Asaf Shabtai, Yuval Elovici, Lior Rokach:
Defense Methods Against Adversarial Examples for Recurrent Neural Networks. CoRR abs/1901.09963 (2019) - [i33]Liat Antwarg, Bracha Shapira, Lior Rokach:
Explaining Anomalies Detected by Autoencoders Using SHAP. CoRR abs/1903.02407 (2019) - [i32]Guy Shtar, Lior Rokach, Bracha Shapira:
Detecting drug-drug interactions using artificial neural networks and classic graph similarity measures. CoRR abs/1903.04571 (2019) - [i31]Saar Tal, Bracha Shapira, Lior Rokach:
Personal Dynamic Cost-Aware Sensing for Latent Context Detection. CoRR abs/1903.05376 (2019) - [i30]Eran Fainman, Bracha Shapira, Lior Rokach, Yisroel Mirsky:
Online Budgeted Learning for Classifier Induction. CoRR abs/1903.05382 (2019) - [i29]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 abs/1903.09190 (2019) - [i28]Michael Shekasta, Gilad Katz, Asnat Greenstein-Messica, Lior Rokach, Bracha Shapira:
New Item Consumption Prediction Using Deep Learning. CoRR abs/1905.01686 (2019) - [i27]Guy Shtar, Bracha Shapira, Lior Rokach:
Clustering Wi-Fi Fingerprints for Indoor-Outdoor Detection. CoRR abs/1908.00758 (2019) - [i26]Roman Vainshtein, Gilad Katz, Bracha Shapira, Lior Rokach:
Assessing the Quality of Scientific Papers. CoRR abs/1908.04200 (2019) - [i25]Amit Livne, Moshe Unger, Bracha Shapira, Lior Rokach:
Deep Context-Aware Recommender System Utilizing Sequential Latent Context. CoRR abs/1909.03999 (2019) - [i24]Hagit Grushka-Cohen, Ofer Biller, Oded Sofer, Lior Rokach, Bracha Shapira:
Diversifying Database Activity Monitoring with Bandits. CoRR abs/1910.10777 (2019) - [i23]Yuval Heffetz, Roman Vainshtein, Gilad Katz, Lior Rokach:
DeepLine: AutoML Tool for Pipelines Generation using Deep Reinforcement Learning and Hierarchical Actions Filtering. CoRR abs/1911.00061 (2019) - [i22]Doron Laadan, Roman Vainshtein, Yarden Curiel, Gilad Katz, Lior Rokach:
RankML: a Meta Learning-Based Approach for Pre-Ranking Machine Learning Pipelines. CoRR abs/1911.00108 (2019) - 2018
- [j84]Ron Bitton, Andrey Finkelshtein, Lior Sidi, Rami Puzis, Lior Rokach, Asaf Shabtai:
Taxonomy of mobile users' security awareness. Comput. Secur. 73: 266-293 (2018) - [j83]David Biton, Meir Kalech, Lior Rokach:
FSCOAL - Parallel simultaneous fuzzy co-clustering and learning. Int. J. Intell. Syst. 33(7): 1364-1380 (2018) - [j82]Asnat Greenstein-Messica, Lior Rokach:
Personal price aware multi-seller recommender system: Evidence from eBay. Knowl. Based Syst. 150: 14-26 (2018) - [j81]Moshe Unger, Bracha Shapira, Lior Rokach, Amit Livne:
Inferring contextual preferences using deep encoder-decoder learners. New Rev. Hypermedia Multim. 24(3): 262-290 (2018) - [j80]Omer Sagi, Lior Rokach:
Ensemble learning: A survey. Wiley Interdiscip. Rev. Data Min. Knowl. Discov. 8(4) (2018) - [c98]Noa Roy-Hubara, Lior Rokach, Bracha Shapira, Peretz Shoval:
Evaluation of a Design Method for Graph Database. BPMDS/EMMSAD@CAiSE 2018: 291-303 - [c97]Roman Vainshtein, Asnat Greenstein-Messica, Gilad Katz, Bracha Shapira, Lior Rokach:
A Hybrid Approach for Automatic Model Recommendation. CIKM 2018: 1623-1626 - [c96]Hagit Grushka-Cohen, Ofer Biller, Oded Sofer, Lior Rokach, Bracha Shapira:
Simulating User Activity for Assessing Effect of Sampling on DB Activity Monitoring Anomaly Detection. PADG@ESORICS 2018: 82-90 - [c95]Liron Ben Kimon, Yisroel Mirsky, Lior Rokach, Bracha Shapira:
Utilizing Sequences of Touch Gestures for User Verification on Mobile Devices. PAKDD (3) 2018: 816-828 - [c94]Ishai Rosenberg, Asaf Shabtai, Lior Rokach, Yuval Elovici:
Generic Black-Box End-to-End Attack Against State of the Art API Call Based Malware Classifiers. RAID 2018: 490-510 - [c93]Adir Solomon, Ariel Bar, Chen Yanai, Bracha Shapira, Lior Rokach:
Predict Demographic Information Using Word2vec on Spatial Trajectories. UMAP 2018: 331-339 - [c92]Ido Guy, Victor Makarenkov, Niva Hazon, Lior Rokach, Bracha Shapira:
Identifying Informational vs. Conversational Questions on Community Question Answering Archives. WSDM 2018: 216-224 - [i21]Ishai Rosenberg, Asaf Shabtai, Yuval Elovici, Lior Rokach:
Low Resource Black-Box End-to-End Attack Against State of the Art API Call Based Malware Classifiers. CoRR abs/1804.08778 (2018) - [i20]Shahar Admati, Lior Rokach, Bracha Shapira:
Wikibook-Bot - Automatic Generation of a Wikipedia Book. CoRR abs/1812.10937 (2018) - 2017
- [j79]Eliahu Khalastchi, Meir Kalech, Lior Rokach:
A hybrid approach for improving unsupervised fault detection for robotic systems. Expert Syst. Appl. 81: 372-383 (2017) - [j78]Alon Schclar, Lior Rokach, Amir Amit:
Ensembles of classifiers based on dimensionality reduction. Intell. Data Anal. 21(3): 467-489 (2017) - [j77]Nir Ofek, Lior Rokach, Roni Stern, Asaf Shabtai:
Fast-CBUS: A fast clustering-based undersampling method for addressing the class imbalance problem. Neurocomputing 243: 88-102 (2017) - [j76]Noa Roy-Hubara, Lior Rokach, Bracha Shapira, Peretz Shoval:
Modeling Graph Database Schema. IT Prof. 19(6): 34-43 (2017) - [j75]Asnat Greenstein-Messica, Lior Rokach, Asaf Shabtai:
Personal-discount sensitivity prediction for mobile coupon conversion optimization. J. Assoc. Inf. Sci. Technol. 68(8): 1940-1952 (2017) - [j74]Yisroel Mirsky, Asaf Shabtai, Bracha Shapira, Yuval Elovici, Lior Rokach:
Anomaly detection for smartphone data streams. Pervasive Mob. Comput. 35: 83-107 (2017) - [j73]Gilad Katz, Lior Rokach:
Wikiometrics: a Wikipedia based ranking system. World Wide Web 20(6): 1153-1177 (2017) - [c91]Tal Hadad, Rami Puzis, Bronislav Sidik, Nir Ofek, Lior Rokach:
Application Marketplace Malware Detection by User Feedback Analysis. ICISSP (Revised Selected Papers) 2017: 1-19 - [c90]Tal Hadad, Bronislav Sidik, Nir Ofek, Rami Puzis, Lior Rokach:
User Feedback Analysis for Mobile Malware Detection. ICISSP 2017: 83-94 - [c89]Asnat Greenstein-Messica, Lior Rokach, Michael Friedmann:
Session-Based Recommendations Using Item Embedding. IUI 2017: 629-633 - [c88]Nir Nissim, Aviad Cohen, Jian Wu, Andrea Lanzi, Lior Rokach, Yuval Elovici, C. Lee Giles:
Scholarly Digital Libraries as a Platform for Malware Distribution. SG-CRC 2017: 107-128 - [c87]Moshe Unger, Bracha Shapira, Lior Rokach, Ariel Bar:
Inferring Contextual Preferences Using Deep Auto-Encoding. UMAP 2017: 221-229 - [c86]Liron Ben Kimon, Yisroel Mirsky, Lior Rokach, Bracha Shapira:
User Verification on Mobile Devices Using Sequences of Touch Gestures. UMAP 2017: 365-366 - [i19]Ori Ossmy, Ofir Tam, Rami Puzis, Lior Rokach, Ohad Inbar, Yuval Elovici:
MindDesktop: a general purpose brain computer interface. CoRR abs/1705.07490 (2017) - [i18]Ishai Rosenberg, Asaf Shabtai, Lior Rokach, Yuval Elovici:
Generic Black-Box End-to-End Attack against RNNs and Other API Calls Based Malware Classifiers. CoRR abs/1707.05970 (2017) - [i17]Hagit Grushka-Cohen, Oded Sofer, Ofer Biller, Michael Dymshits, Lior Rokach, Bracha Shapira:
Sampling High Throughput Data for Anomaly Detection of Data-Base Activity. CoRR abs/1708.04278 (2017) - [i16]Yael Brumer, Bracha Shapira, Lior Rokach, Oren Barkan:
Predicting Relevance Scores for Triples from Type-Like Relations using Neural Embedding - The Cabbage Triple Scorer at WSDM Cup 2017. CoRR abs/1712.08359 (2017) - 2016
- [j72]Nir Ofek, Soujanya Poria, Lior Rokach, Erik Cambria, Amir Hussain, Asaf Shabtai:
Unsupervised Commonsense Knowledge Enrichment for Domain-Specific Sentiment Analysis. Cogn. Comput. 8(3): 467-477 (2016) - [j71]Lihi Naamani Dery, Meir Kalech, Lior Rokach, Bracha Shapira:
Reducing preference elicitation in group decision making. Expert Syst. Appl. 61: 246-261 (2016) - [j70]Aviad Cohen, Nir Nissim, Lior Rokach, Yuval Elovici:
SFEM: Structural feature extraction methodology for the detection of malicious office documents using machine learning methods. Expert Syst. Appl. 63: 324-343 (2016) - [j69]David Ben-Shimon, Lior Rokach, Bracha Shapira:
An ensemble method for top-N recommendations from the SVD. Expert Syst. Appl. 64: 84-92 (2016) - [j68]Olga Peled, Michael Fire, Lior Rokach, Yuval Elovici:
Matching entities across online social networks. Neurocomputing 210: 91-106 (2016) - [j67]Lior Rokach:
Decision forest: Twenty years of research. Inf. Fusion 27: 111-125 (2016) - [j66]Eitan Menahem, Alon Schclar, Lior Rokach, Yuval Elovici:
XML-AD: Detecting anomalous patterns in XML documents. Inf. Sci. 326: 71-88 (2016) - [j65]Ido Blank, Lior Rokach, Guy Shani:
Leveraging metadata to recommend keywords for academic papers. J. Assoc. Inf. Sci. Technol. 67(12): 3073-3091 (2016) - [j64]Nir Nissim, Robert Moskovitch, Oren Bar-Ad, Lior Rokach, Yuval Elovici:
ALDROID: efficient update of Android anti-virus software using designated active learning methods. Knowl. Inf. Syst. 49(3): 795-833 (2016) - [j63]Moshe Unger, Ariel Bar, Bracha Shapira, Lior Rokach:
Towards latent context-aware recommendation systems. Knowl. Based Syst. 104: 165-178 (2016) - [j62]Edita Grolman, Ariel Bar, Bracha Shapira, Lior Rokach, Aviram Dayan:
Utilizing transfer learning for in-domain collaborative filtering. Knowl. Based Syst. 107: 70-82 (2016) - [j61]Moran Beladev, Lior Rokach, Bracha Shapira:
Recommender systems for product bundling. Knowl. Based Syst. 111: 193-206 (2016) - [j60]Kim-Kwang Raymond Choo, Lior Rokach, Claudio Bettini:
Mobile security and privacy: Advances, challenges and future research directions. Pervasive Mob. Comput. 32: 1-2 (2016) - [j59]Asaf Shabtai, Maya Bercovitch, Lior Rokach, Ya'akov (Kobi) Gal, Yuval Elovici, Erez Shmueli:
Behavioral Study of Users When Interacting with Active Honeytokens. ACM Trans. Inf. Syst. Secur. 18(3): 9:1-9:21 (2016) - [j58]David Ben-Shimon, Lior Rokach, Guy Shani, Bracha Shapira:
Anytime Algorithms for Recommendation Service Providers. ACM Trans. Intell. Syst. Technol. 7(3): 43:1-43:26 (2016) - [c85]Sigal Shaked, Lior Rokach:
Publishing Differentially Private Medical Events Data. CD-ARES 2016: 219-235 - [c84]Ariel Bar, Bracha Shapira, Lior Rokach, Moshe Unger:
Scalable attack propagation model and algorithms for honeypot systems. IEEE BigData 2016: 1130-1135 - [c83]Yisroel Mirsky, Asaf Shabtai, Lior Rokach, Bracha Shapira, Yuval Elovici:
SherLock vs Moriarty: A Smartphone Dataset for Cybersecurity Research. AISec@CCS 2016: 1-12 - [c82]Hagit Grushka-Cohen, Oded Sofer, Ofer Biller, Bracha Shapira, Lior Rokach:
CyberRank: Knowledge Elicitation for Risk Assessment of Database Security. CIKM 2016: 2009-2012 - [c81]Alexandros Karatzoglou, Balázs Hidasi, Domonkos Tikk, Oren Sar Shalom, Haggai Roitman, Bracha Shapira, Lior Rokach:
RecSys'16 Workshop on Deep Learning for Recommender Systems (DLRS). RecSys 2016: 415-416 - [c80]Moshe Unger, Bracha Shapira, Lior Rokach, Ariel Bar:
Deep Auto-Encoding for Context-Aware Inference of Preferred Items' Categories. RecSys Posters 2016 - [c79]Ariel Bar, Bracha Shapira, Lior Rokach, Moshe Unger:
Identifying Attack Propagation Patterns in Honeypots Using Markov Chains Modeling and Complex Networks Analysis. SwSTE 2016: 28-36 - [e8]Alexandros Karatzoglou, Balázs Hidasi, Domonkos Tikk, Oren Sar Shalom, Haggai Roitman, Bracha Shapira, Lior Rokach:
Proceedings of the 1st Workshop on Deep Learning for Recommender Systems, DLRS@RecSys 2016, Boston, MA, USA, September 15, 2016. ACM 2016, ISBN 978-1-4503-4795-2 [contents] - [i15]Gilad Katz, Lior Rokach:
Wikiometrics: A Wikipedia Based Ranking System. CoRR abs/1601.01058 (2016) - [i14]Victor Makarenkov, Bracha Shapira, Lior Rokach:
Language Models with GloVe Word Embeddings. CoRR abs/1610.03759 (2016) - [i13]Ben Nassi, Lior Rokach, Yuval Elovici:
Virtual Breathalyzer. CoRR abs/1612.05083 (2016) - 2015
- [j57]Daniel Gordon, Danny Hendler, Aryeh Kontorovich, Lior Rokach:
Local-shapelets for fast classification of spectrographic measurements. Expert Syst. Appl. 42(6): 3150-3158 (2015) - [j56]Daniel Gordon, Danny Hendler, Lior Rokach:
Fast and space-efficient shapelets-based time-series classification. Intell. Data Anal. 19(5): 953-981 (2015) - [j55]Nir Ofek, Lior Rokach:
A classifier to determine which Wikipedia biographies will be accepted. J. Assoc. Inf. Sci. Technol. 66(1): 213-218 (2015) - [c78]Dmitri Bekerman, Bracha Shapira, Lior Rokach, Ariel Bar:
Unknown malware detection using network traffic classification. CNS 2015: 134-142 - [c77]David Ben-Shimon, Lior Rokach, Bracha Shapira, Guy Shani:
Fast Item-Based Collaborative Filtering. ICAART (2) 2015: 457-463 - [c76]Victor Makarenkov, Bracha Shapira, Lior Rokach:
Theoretical Categorization of Query Performance Predictors. ICTIR 2015: 369-372 - [c75]Yisroel Mirsky, Bracha Shapira, Lior Rokach, Yuval Elovici:
pcStream: A Stream Clustering Algorithm for Dynamically Detecting and Managing Temporal Contexts. PAKDD (2) 2015: 119-133 - [c74]Moran Beladev, Bracha Shapira, Lior Rokach:
Recommender Systems for Product Bundling. RecSys Posters 2015 - [c73]Nadav Cohen, Adi Gerzi, David Ben-Shimon, Bracha Shapira, Lior Rokach, Michael Friedmann:
In-House Solution for the RecSys Challenge 2015. RecSys Challenge 2015: 10:1-10:4 - [c72]Nofar Dali Betzalel, Bracha Shapira, Lior Rokach:
"Please, Not Now!": A Model for Timing Recommendations. RecSys 2015: 297-300 - [c71]David Ben-Shimon, Alexander Tsikinovsky, Michael Friedmann, Bracha Shapira, Lior Rokach, Johannes Hoerle:
RecSys Challenge 2015 and the YOOCHOOSE Dataset. RecSys 2015: 357-358 - [c70]Yisroel Mirsky, Aviad Cohen, Roni Stern, Ariel Felner, Lior Rokach, Yuval Elovici, Bracha Shapira:
Search Problems in the Domain of Multiplication: Case Study on Anomaly Detection Using Markov Chains. SOCS 2015: 70-77 - [c69]Nir Ofek, Lior Rokach, Cornelia Caragea, John Yen:
The Importance of Pronouns to Sentiment Analysis: Online Cancer Survivor Network Case Study. WWW (Companion Volume) 2015: 83-84 - [e7]David Ben-Shimon, Michael Friedmann, Lior Rokach, Bracha Shapira:
Proceedings of the 2015 International ACM Recommender Systems Challenge, RecSys Challenge 2015, Vienna, Austria, September 16-20, 2015. ACM 2015, ISBN 978-1-4503-3665-9 [contents] - [e6]Francesco Ricci, Lior Rokach, Bracha Shapira:
Recommender Systems Handbook. Springer 2015, ISBN 978-1-4899-7636-9 [contents] - [r4]