Hypertext Browsing: A New Model Based on Hypergraph's Dynamic Construction and Data Analysis Methods. - Bracha Shapira; Adi Raveh; Uri Hanani (NGITS, 1995)

Stereotypes in Information Filtering Systems. - Bracha Shapira; Peretz Shoval; Uri Hanani (Inf. Process. Manag., 1997)

Information Filtering: A New Two-Phase Model Using Stereotypic User Profiling. - Bracha Shapira; Uri Hanani; Adi Raveh; Peretz Shoval (J. Intell. Inf. Syst., 1997)

Strategies for Filtering E-mail Messages Combining Content-Based and Sociological Filtering with User-Stereotypes. - Peretz Shoval; Bracha Shapira; Uri Hanani (NGITS, 1999)

Experimentation with an information filtering system that combines cognitive and sociological filtering integrated with user stereotypes. - Bracha Shapira; Peretz Shoval; Uri Hanani (Decis. Support Syst., 1999)

Information Filtering and Automatic Keyword Identification by Artificial Neural Networks. - Zvi Boger; Tsvi Kuflik; Bracha Shapira; Peretz Shoval (ECIS, 2000)

Enabling technologies: capturing human intelligence in the Net. - Paul B. Kantor; Endre Boros; Benjamin Melamed; Vladimir Menkov; Bracha Shapira; David J. Neu (Commun. ACM, 2000)

Automatic keyword identification by artificial neural networks compared to manual identification by users of filtering systems. - Zvi Boger; Tsvi Kuflik; Peretz Shoval; Bracha Shapira (Inf. Process. Manag., 2001)

The effect of extrinsic motivation on user behavior in a collaborative information finding system. - Bracha Shapira; Paul B. Kantor; Benjamin Melamed (J. Assoc. Inf. Sci. Technol., 2001)

Information Filtering: Overview of Issues, Research and Systems. - Uri Hanani; Bracha Shapira; Peretz Shoval (User Model. User Adapt. Interact., 2001)

A New Privacy Model for Web Surfing. - Yuval Elovici; Bracha Shapira; Adlai Maschiach (NGITS, 2002)

A new privacy model for hiding group interests while accessing the Web. - Yuval Elovici; Bracha Shapira; Adlai Maschiach (WPES, 2002)

Content-Based Methodology for Anomaly Detection on the Web. - Mark Last; Bracha Shapira; Yuval Elovici; Omer Zaafrany; Abraham Kandel (AWIC, 2003)

Privacy Preservation Improvement by Learning Optimal Profile Generation Rate. - Tsvi Kuflik; Bracha Shapira; Yuval Elovici; Adlai Maschiach (User Modeling, 2003)

Using the Information Structure Model to Compare Profile-Based Information Filtering Systems. - Yuval Elovici; Bracha Shapira; Paul B. Kantor (Inf. Retr., 2003)

Stereotype-based Versus Personal-based Filtering Rules in Information Filtering Systems. - Tsvi Kuflik; Bracha Shapira; Peretz Shoval (J. Assoc. Inf. Sci. Technol., 2003)

Terrorist Detection System. - Yuval Elovici; Abraham Kandel; Mark Last; Bracha Shapira; Omer Zaafrany; Moti Schneider; Menahem Friedman (PKDD, 2004)

Evaluation of the real and perceived value of automatic and interactive query expansion. - Yael Nemeth; Bracha Shapira; Meirav Taieb-Maimon (SIGIR, 2004)

Content-Based Detection of Terrorists Browsing the Web Using an Advanced Terror Detection System (ATDS). - Yuval Elovici; Bracha Shapira; Mark Last; Omer Zaafrany; Menahem Friedman; Moti Schneider; Abraham Kandel (ISI, 2005)

Enhancing customer privacy while searching for products and services on the world wide web. - Yuval Elovici; Chanan Glezer; Bracha Shapira (Internet Res., 2005)

PRAW - A PRivAcy model for the Web. - Bracha Shapira; Yuval Elovici; Adlay Meshiach; Tsvi Kuflik (J. Assoc. Inf. Sci. Technol., 2005)

Subjective and objective evaluation of interactive and automatic query expansion. - Bracha Shapira; Meirav Taieb-Maimon; Yael Nemeth (Online Inf. Rev., 2005)

A Content-Based Model for Web-Monitoring. - Bracha Shapira (Fighting Terror in Cyberspace, 2005)

Study of the usefulness of known and new implicit indicators and their optimal combination for accurate inference of users interests. - Bracha Shapira; Meirav Taieb-Maimon; Anny Moskowitz (SAC, 2006)

A decision theoretic approach to combining information filters: An analytical and empirical evaluation. - Yuval Elovici; Bracha Shapira; Paul B. Kantor (J. Assoc. Inf. Sci. Technol., 2006)

Study of Effectiveness of Implicit Indicators and Their Optimal Combination for Accurate Inference of Users Interests. - Bracha Shapira; Meirav Taieb-Maimon; Anny Moskowitz (J. Digit. Inf. Manag., 2006)

Cluster-analysis attack against a PRivAte Web solution (PRAW). - Yuval Elovici; Bracha Shapira; Adlay Meshiach (Online Inf. Rev., 2006)

MarCol: A Market-Based Recommender System. - I. Dan Melamed; Bracha Shapira; Yuval Elovici (IEEE Intell. Syst., 2007)

All the news that's fit to e-ink. - Ohad Inbar; Noam Ben-Asher; Talya Porat; Dudu Mimran; Bracha Shapira; Peretz Shoval; Joachim Meyer 002; Noam Tractinsky (CHI Extended Abstracts, 2008)

kACTUS 2: Privacy Preserving in Classification Tasks Using k-Anonymity. - Slava Kisilevich; Yuval Elovici; Bracha Shapira; Lior Rokach (ISIPS, 2008)

Evaluation of an ontology-content based filtering method for a personalized newspaper. - Veronica Maidel; Peretz Shoval; Bracha Shapira; Meirav Taieb-Maimon (RecSys, 2008)

Improving Social Recommender Systems. - Ofer Arazy; Nanda Kumar; Bracha Shapira (IT Prof., 2009)

ePaper: A personalized mobile newspaper. - Bracha Shapira; Peretz Shoval; Noam Tractinsky; Joachim Meyer 002 (J. Assoc. Inf. Sci. Technol., 2009)

A decision theoretic approach to combining information filtering. - Alexander Binun; Bracha Shapira; Yuval Elovici (Online Inf. Rev., 2009)

Personalized Knowledge Service Based on Smart Cell-Phone Usage: A Conceptual Framework. - Meira Levy; Peretz Shoval; Bracha Shapira (AMCIS, 2010)

Iterative voting under uncertainty for group recommender systems. - Lihi Naamani Dery; Meir Kalech; Lior Rokach; Bracha Shapira (RecSys, 2010)

A Theory-Driven Design Framework for Social Recommender Systems. - Ofer Arazy; Nanda Kumar; Bracha Shapira (J. Assoc. Inf. Syst., 2010)

Detection of access to terror-related Web sites using an Advanced Terror Detection System (ATDS). - Yuval Elovici; Bracha Shapira; Mark Last; Omer Zaafrany; Menahem Friedman; Moti Schneider; Abraham Kandel (J. Assoc. Inf. Sci. Technol., 2010)

Ontological content-based filtering for personalised newspapers: A method and its evaluation. - Veronica Maidel; Peretz Shoval; Bracha Shapira; Meirav Taieb-Maimon (Online Inf. Rev., 2010)

Efficient Multidimensional Suppression for K-Anonymity. - Slava Kisilevich; Lior Rokach; Yuval Elovici; Bracha Shapira (IEEE Trans. Knowl. Data Eng., 2010)

Meta-learning for Selecting a Multi-label Classification Algorithm. - Lena Chekina; Lior Rokach; Bracha Shapira (ICDM Workshops, 2011)

Recommenders benchmark framework. - Aviram Dayan; Guy Katz; Naseem Biasdi; Lior Rokach; Bracha Shapira; Aykan Aydin; Roland Schwaiger; Radmila Fishel (RecSys, 2011)

Using Wikipedia to boost collaborative filtering techniques. - Gilad Katz; Nir Ofek; Bracha Shapira; Lior Rokach; Guy Shani (RecSys, 2011)

Personalized search: Integrating collaboration and social networks. - Bracha Shapira; Boaz Zabar (J. Assoc. Inf. Sci. Technol., 2011)

Introduction to Recommender Systems Handbook. - Francesco Ricci 001; Lior Rokach; Bracha Shapira (Recommender Systems Handbook, 2011)

Predicting Student Exam's Scores by Analyzing Social Network Data. - Michael Fire; Gilad Katz; Yuval Elovici; Bracha Shapira; Lior Rokach (AMT, 2012)

TALMUD: transfer learning for multiple domains. - Orly Moreno; Bracha Shapira; Lior Rokach; Guy Shani (CIKM, 2012)

Introducing diversity among the models of multi-label classification ensemble. - Lena Chekina; Lior Rokach; Bracha Shapira (ESANN, 2012)

Detection of Deviations in Mobile Applications Network Behavior - Lena Chekina; Dudu Mimran; Lior Rokach; Yuval Elovici; Bracha Shapira (CoRR, 2012)

Boosting Simple Collaborative Filtering Models Using Ensemble Methods - Ariel Bar; Lior Rokach; Guy Shani; Bracha Shapira; Alon Schclar (CoRR, 2012)

Using Wikipedia to Boost SVD Recommender Systems - Gilad Katz; Guy Shani; Bracha Shapira; Lior Rokach (CoRR, 2012)

Social Network Based Search for Experts - Yehonatan Bitton; Michael Fire; Dima Kagan; Bracha Shapira; Lior Rokach; Judit Bar-Ilan (CoRR, 2012)

Limiting disclosure of sensitive data in sequential releases of databases. - Erez Shmueli; Tamir Tassa; Raz Wasserstein; Bracha Shapira; Lior Rokach (Inf. Sci., 2012)

Attribute-Driven Hidden Markov Model Trees for Intention Prediction. - Liat Antwarg; Lior Rokach; Bracha Shapira (IEEE Trans. Syst. Man Cybern. Part C, 2012)

MATE: a mobile analysis tool for usability experts. - Talya Porat; Alon Schclar; Bracha Shapira (CHI Extended Abstracts, 2013)

Exploiting simultaneous usage of different wireless interfaces for security and mobility. - Shlomi Dolev; Idan Heimlich Shtacher; Bracha Shapira; Yuval Elovici; Guy Messalem; Dudu Mimran; Marina Kopeetsky (FGCT, 2013)

Nesto - Network selection and traffic offloading system for android mobile devices. - Ariel Bar; Dudu Mimran; Lena Chekina; Yuval Elovici; Bracha Shapira (IWCMC, 2013)

Improving Simple Collaborative Filtering Models Using Ensemble Methods. - Ariel Bar; Lior Rokach; Guy Shani; Bracha Shapira; Alon Schclar (MCS, 2013)

Ensemble of Feature Chains for Anomaly Detection. - Lena Tenenboim-Chekina; Lior Rokach; Bracha Shapira (MCS, 2013)

Using geospatial metadata to boost collaborative filtering. - Alexander Ostrikov; Lior Rokach; Bracha Shapira (RecSys, 2013)

Recommending insurance riders. - Lior Rokach; Guy Shani; Bracha Shapira; Eyal Chapnik; Gali Siboni (SAC, 2013)

Highlighting items as means of adaptive assistance. - Liat Antwarg; Talia Lavie; Lior Rokach; Bracha Shapira; Joachim Meyer 002 (Behav. Inf. Technol., 2013)

Content-based data leakage detection using extended fingerprinting - Yuri Shapira; Bracha Shapira; Asaf Shabtai (CoRR, 2013)

Investigating confidence displays for top-N recommendations. - Guy Shani; Lior Rokach; Bracha Shapira; Sarit Hadash; Moran Tangi (J. Assoc. Inf. Sci. Technol., 2013)

Exploiting label dependencies for improved sample complexity. - Lena Chekina; Dan Gutfreund; Aryeh Kontorovich; Lior Rokach; Bracha Shapira (Mach. Learn., 2013)

Facebook single and cross domain data for recommendation systems. - Bracha Shapira; Lior Rokach; Shirley Freilikhman (User Model. User Adapt. Interact., 2013)

EduRank: A Collaborative Filtering Approach to Personalization in E-learning. - Avi Segal; Ziv Katzir; Kobi Gal; Guy Shani; Bracha Shapira (EDM, 2014)

Contexto: lessons learned from mobile context inference. - Moshe Unger; Lior Rokach; Ariel Bar; Ehud Gudes; Bracha Shapira (UbiComp Adjunct, 2014)

Preference elicitation for narrowing the recommended list for groups. - Lihi Naamani Dery; Meir Kalech; Lior Rokach; Bracha Shapira (RecSys, 2014)

Wikipedia-based query performance prediction. - Gilad Katz; Anna Shtok; Oren Kurland; Bracha Shapira; Lior Rokach (SIGIR, 2014)

Mobile malware detection through analysis of deviations in application network behavior. - Asaf Shabtai; Lena Tenenboim-Chekina; Dudu Mimran; Lior Rokach; Bracha Shapira; Yuval Elovici (Comput. Secur., 2014)

Reaching a joint decision with minimal elicitation of voter preferences. - Lihi Naamani Dery; Meir Kalech; Lior Rokach; Bracha Shapira (Inf. Sci., 2014)

CoBAn: A context based model for data leakage prevention. - Gilad Katz; Yuval Elovici; Bracha Shapira (Inf. Sci., 2014)

Leak Sinks: The Threat of Targeted Social Eavesdropping. - Yasmin Bokobza; Abigail Paradise; Guy Rapaport; Rami Puzis; Bracha Shapira; Asaf Shabtai (ASONAM, 2015)

Unknown malware detection using network traffic classification. - Dmitri Bekerman; Bracha Shapira; Lior Rokach; Ariel Bar (CNS, 2015)

Fast Item-Based Collaborative Filtering. - David Ben-Shimon; Lior Rokach; Bracha Shapira; Guy Shani (ICAART (2), 2015)

Theoretical Categorization of Query Performance Predictors. - Victor Makarenkov; Bracha Shapira; Lior Rokach (ICTIR, 2015)

pcStream: A Stream Clustering Algorithm for Dynamically Detecting and Managing Temporal Contexts. - Yisroel Mirsky; Bracha Shapira; Lior Rokach; Yuval Elovici (PAKDD (2), 2015)

Sentiment Analysis in Transcribed Utterances. - Nir Ofek; Gilad Katz; Bracha Shapira; Yedidya Bar-Zev (PAKDD (2), 2015)

RecSys Challenge 2015 and the YOOCHOOSE Dataset. - David Ben-Shimon; Alexander Tsikinovsky; Michael Friedmann; Bracha Shapira; Lior Rokach; Johannes Hoerle (RecSys, 2015)

"Please, Not Now!": A Model for Timing Recommendations. - Nofar Dali Betzalel; Bracha Shapira; Lior Rokach (RecSys, 2015)

In-House Solution for the RecSys Challenge 2015. - Nadav Cohen 004; Adi Gerzi; David Ben-Shimon; Bracha Shapira; Lior Rokach; Michael Friedmann (RecSys Challenge, 2015)

Exploiting Wikipedia for Information Retrieval Tasks. - Bracha Shapira; Nir Ofek; Victor Makarenkov (SIGIR, 2015)

Search Problems in the Domain of Multiplication: Case Study on Anomaly Detection Using Markov Chains. - Yisroel Mirsky; Aviad Cohen 002; Roni Stern; Ariel Felner; Lior Rokach; Yuval Elovici; Bracha Shapira (SOCS, 2015)

JoKER: Trusted Detection of Kernel Rootkits in Android Devices via JTAG Interface. - Mordechai Guri; Yuri Poliak; Bracha Shapira; Yuval Elovici (TrustCom/BigDataSE/ISPA (1), 2015)

Enabling Complex Wikipedia Queries - Technical Report. - Gilad Katz; Bracha Shapira (CoRR, 2015)

ConSent: Context-based sentiment analysis. - Gilad Katz; Nir Ofek; Bracha Shapira (Knowl. Based Syst., 2015)

Recommender Systems: Introduction and Challenges. - Francesco Ricci 001; Lior Rokach; Bracha Shapira (Recommender Systems Handbook, 2015)

Scalable attack propagation model and algorithms for honeypot systems. - Ariel Bar; Bracha Shapira; Lior Rokach; Moshe Unger (IEEE BigData, 2016)

SherLock vs Moriarty: A Smartphone Dataset for Cybersecurity Research. - Yisroel Mirsky; Asaf Shabtai; Lior Rokach; Bracha Shapira; Yuval Elovici (AISec@CCS, 2016)

CyberRank: Knowledge Elicitation for Risk Assessment of Database Security. - Hagit Grushka-Cohen; Oded Sofer; Ofer Biller; Bracha Shapira; Lior Rokach (CIKM, 2016)

RecSys'16 Workshop on Deep Learning for Recommender Systems (DLRS). - Alexandros Karatzoglou; Balázs Hidasi; Domonkos Tikk; Oren Sar Shalom; Haggai Roitman; Bracha Shapira; Lior Rokach (RecSys, 2016)

Deep Auto-Encoding for Context-Aware Inference of Preferred Items' Categories. - Moshe Unger; Bracha Shapira; Lior Rokach; Ariel Bar (RecSys Posters, 2016)

Identifying Attack Propagation Patterns in Honeypots Using Markov Chains Modeling and Complex Networks Analysis. - Ariel Bar; Bracha Shapira; Lior Rokach; Moshe Unger (SwSTE, 2016)

Language Models with GloVe Word Embeddings. - Victor Makarenkov; Bracha Shapira; Lior Rokach (CoRR, 2016)

An ensemble method for top-N recommendations from the SVD. - David Ben-Shimon; Lior Rokach; Bracha Shapira (Expert Syst. Appl., 2016)

Reducing preference elicitation in group decision making. - Lihi Naamani Dery; Meir Kalech; Lior Rokach; Bracha Shapira (Expert Syst. Appl., 2016)

Recommender systems for product bundling. - Moran Beladev; Lior Rokach; Bracha Shapira (Knowl. Based Syst., 2016)

Utilizing transfer learning for in-domain collaborative filtering. - Edita Grolman; Ariel Bar; Bracha Shapira; Lior Rokach; Aviram Dayan (Knowl. Based Syst., 2016)

Towards latent context-aware recommendation systems. - Moshe Unger; Ariel Bar; Bracha Shapira; Lior Rokach (Knowl. Based Syst., 2016)

Anytime Algorithms for Recommendation Service Providers. - David Ben-Shimon; Lior Rokach; Guy Shani; Bracha Shapira (ACM Trans. Intell. Syst. Technol., 2016)

Scalable Attack Path Finding for Increased Security. - Tom Gonda; Rami Puzis; Bracha Shapira (CSCML, 2017)

Attack Graph Obfuscation. - Hadar Polad; Rami Puzis; Bracha Shapira (CSCML, 2017)

DLRS 2017: Second Workshop on Deep Learning for Recommender Systems. - Balázs Hidasi; Alexandros Karatzoglou; Oren Sar Shalom; Sander Dieleman; Bracha Shapira; Domonkos Tikk (RecSys, 2017)

User Verification on Mobile Devices Using Sequences of Touch Gestures. - Liron Ben Kimon; Yisroel Mirsky; Lior Rokach; Bracha Shapira (UMAP, 2017)

Inferring Contextual Preferences Using Deep Auto-Encoding. - Moshe Unger; Bracha Shapira; Lior Rokach; Ariel Bar (UMAP, 2017)

Sampling High Throughput Data for Anomaly Detection of Data-Base Activity. - Hagit Grushka-Cohen; Oded Sofer; Ofer Biller; Michael Dymshits; Lior Rokach; Bracha Shapira (CoRR, 2017)

Predicting Relevance Scores for Triples from Type-Like Relations using Neural Embedding - The Cabbage Triple Scorer at WSDM Cup 2017. - Yael Brumer; Bracha Shapira; Lior Rokach; Oren Barkan (CoRR, 2017)

Modeling Graph Database Schema. - Noa Roy-Hubara; Lior Rokach; Bracha Shapira; Peretz Shoval (IT Prof., 2017)

Anomaly detection for smartphone data streams. - Yisroel Mirsky; Asaf Shabtai; Bracha Shapira; Yuval Elovici; Lior Rokach (Pervasive Mob. Comput., 2017)

Evaluation of a Design Method for Graph Database. - Noa Roy-Hubara; Lior Rokach; Bracha Shapira; Peretz Shoval (BPMDS/EMMSAD@CAiSE, 2018)

A Hybrid Approach for Automatic Model Recommendation. - Roman Vainshtein; Asnat Greenstein-Messica; Gilad Katz; Bracha Shapira; Lior Rokach (CIKM, 2018)

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 (PADG@ESORICS, 2018)

Analysis of Attack Graph Representations for Ranking Vulnerability Fixes. - Tom Gonda; Tal Pascal; Rami Puzis; Guy Shani; Bracha Shapira (GCAI, 2018)

Utilizing Sequences of Touch Gestures for User Verification on Mobile Devices. - Liron Ben Kimon; Yisroel Mirsky; Lior Rokach; Bracha Shapira (PAKDD (3), 2018)

DLRS 2018: third workshop on deep learning for recommender systems. - Balázs Hidasi; Alexandros Karatzoglou; Oren Sar Shalom; Bracha Shapira; Domonkos Tikk; Flavian Vasile; Sander Dieleman (RecSys, 2018)

From Royals to Vegans: Characterizing Question Trolling on a Community Question Answering Website. - Ido Guy; Bracha Shapira (SIGIR, 2018)

Predict Demographic Information Using Word2vec on Spatial Trajectories. - Adir Solomon; Ariel Bar; Chen Yanai; Bracha Shapira; Lior Rokach (UMAP, 2018)

Identifying Informational vs. Conversational Questions on Community Question Answering Archives. - Ido Guy; Victor Makarenkov; Niva Hazon; Lior Rokach; Bracha Shapira (WSDM, 2018)

Wikibook-Bot - Automatic Generation of a Wikipedia Book. - Shahar Admati; Lior Rokach; Bracha Shapira (CoRR, 2018)

From Evaluating to Forecasting Performance: How to Turn Information Retrieval, Natural Language Processing and Recommender Systems into Predictive Sciences (Dagstuhl Perspectives Workshop 17442). - Nicola Ferro 001; Norbert Fuhr; Gregory Grefenstette; Joseph A. Konstan; Pablo Castells; Elizabeth M. Daly; Thierry Declerck; Michael D. Ekstrand; Werner Geyer; Julio Gonzalo; Tsvi Kuflik; Krister Lindén; et al. (Dagstuhl Manifestos, 2018)

Inferring contextual preferences using deep encoder-decoder learners. - Moshe Unger; Bracha Shapira; Lior Rokach; Amit Livne (New Rev. Hypermedia Multim., 2018)

The Dagstuhl Perspectives Workshop on Performance Modeling and Prediction. - Nicola Ferro 001; Norbert Fuhr; Gregory Grefenstette; Joseph A. Konstan; Pablo Castells; Elizabeth M. Daly; Thierry Declerck; Michael D. Ekstrand; Werner Geyer; Julio Gonzalo; Tsvi Kuflik; Krister Lindén; et al. (SIGIR Forum, 2018)

Social Search. - Peter Brusilovsky; Barry Smyth; Bracha Shapira (Social Information Access, 2018)

AutoGRD: Model Recommendation Through Graphical Dataset Representation. - Noy Cohen-Shapira; Lior Rokach; Bracha Shapira; Gilad Katz; Roman Vainshtein (CIKM, 2019)

NO-DOUBT: Attack Attribution Based On Threat Intelligence Reports. - Lior Perry; Bracha Shapira; Rami Puzis (ISI, 2019)

Are All Rejected Recommendations Equally Bad?: Towards Analysing Rejected Recommendations. - Shir Frumerman; Guy Shani; Bracha Shapira; Oren Sar Shalom (UMAP, 2019)

Explaining Anomalies Detected by Autoencoders Using SHAP. - Liat Antwarg; Bracha Shapira; Lior Rokach (CoRR, 2019)

Detecting drug-drug interactions using artificial neural networks and classic graph similarity measures. - Guy Shtar; Lior Rokach; Bracha Shapira (CoRR, 2019)

Personal Dynamic Cost-Aware Sensing for Latent Context Detection. - Saar Tal; Bracha Shapira; Lior Rokach (CoRR, 2019)

Online Budgeted Learning for Classifier Induction. - Eran Fainman; Bracha Shapira; Lior Rokach; Yisroel Mirsky (CoRR, 2019)

New Item Consumption Prediction Using Deep Learning. - Michael Shekasta; Gilad Katz; Asnat Greenstein-Messica; Lior Rokach; Bracha Shapira (CoRR, 2019)

Assessing the Quality of Scientific Papers. - Roman Vainshtein; Gilad Katz; Bracha Shapira; Lior Rokach (CoRR, 2019)

Deep Context-Aware Recommender System Utilizing Sequential Latent Context. - Amit Livne; Moshe Unger; Bracha Shapira; Lior Rokach (CoRR, 2019)

Diversifying Database Activity Monitoring with Bandits. - Hagit Grushka-Cohen; Ofer Biller; Oded Sofer; Lior Rokach; Bracha Shapira (CoRR, 2019)

Choosing the right word: Using bidirectional LSTM tagger for writing support systems. - Victor Makarenkov; Lior Rokach; Bracha Shapira (Eng. Appl. Artif. Intell., 2019)

A difficulty ranking approach to personalization in E-learning. - Avi Segal; Kobi Gal; Guy Shani; Bracha Shapira (Int. J. Hum. Comput. Stud., 2019)

Implicit dimension identification in user-generated text with LSTM networks. - Victor Makarenkov; Ido Guy; Niva Hazon; Tamar Meisels; Bracha Shapira; Lior Rokach (Inf. Process. Manag., 2019)

Clustering Wi-Fi fingerprints for indoor-outdoor detection. - Guy Shtar; Bracha Shapira; Lior Rokach (Wirel. Networks, 2019)

Crime Linkage Based on Textual Hebrew Police Reports Utilizing Behavioral Patterns. - Adir Solomon; Amit Magen; Simo Hanouna; Mor Kertis; Bracha Shapira; Lior Rokach (CIKM, 2020)

Using Bandits for Effective Database Activity Monitoring. - Hagit Grushka-Cohen; Ofer Biller; Oded Sofer; Lior Rokach; Bracha Shapira (PAKDD (2), 2020)

Post-hoc Explanations for Complex Model Recommendations using Simple Methods. - Dorin Shmaryahu; Guy Shani; Bracha Shapira (IntRS@RecSys, 2020)

Product Bundle Identification using Semi-Supervised Learning. - Hen Tzaban; Ido Guy; Asnat Greenstein-Messica; Arnon Dagan; Lior Rokach; Bracha Shapira (SIGIR, 2020)

Sequence Preserving Network Traffic Generation. - Sigal Shaked; Amos Zamir; Roman Vainshtein; Moshe Unger; Lior Rokach; Rami Puzis; Bracha Shapira (CoRR, 2020)

Automatic Machine Learning Derived from Scholarly Big Data. - Asnat Greenstein-Messica; Roman Vainshtein; Gilad Katz; Bracha Shapira; Lior Rokach (CoRR, 2020)

Iterative Boosting Deep Neural Networks for Predicting Click-Through Rate. - Amit Livne; Roy Dor; Eyal Mazuz; Tamar Didi; Bracha Shapira; Lior Rokach (CoRR, 2020)

A framework for optimizing COVID-19 testing policy using a Multi Armed Bandit approach. - Hagit Grushka-Cohen; Raphael Cohen; Bracha Shapira; Jacob Moran-Gilad; Lior Rokach (CoRR, 2020)

BNN: Boosting Neural Network Framework Utilizing Limited Amount of Data. - Amit Livne; Roy Dor; Bracha Shapira; Lior Rokach (CIKM, 2021)

The next best question: a lazy, anytime framework for adaptive feature acquisition. - Sagy Tuval; Bracha Shapira (SAC, 2021)

Explaining anomalies detected by autoencoders using Shapley Additive Explanations. - Liat Antwarg; Ronnie Mindlin Miller; Bracha Shapira; Lior Rokach (Expert Syst. Appl., 2021)

Isolation forests and landmarking-based representations for clustering algorithm recommendation using meta-learning. - Itay Gabbay; Bracha Shapira; Lior Rokach (Inf. Sci., 2021)

Analyzing movement predictability using human attributes and behavioral patterns. - Adir Solomon; Amit Livne; Gilad Katz; Bracha Shapira; Lior Rokach (Comput. Environ. Urban Syst., 2021)

Q-Ball: Modeling Basketball Games Using Deep Reinforcement Learning. - Chen Yanai; Adir Solomon; Gilad Katz; Bracha Shapira; Lior Rokach (AAAI, 2022)

Transfer Learning for Time Series Classification Using Synthetic Data Generation. - Yarden Rotem; Nathaniel Shimoni; Lior Rokach; Bracha Shapira (CSCML, 2022)

BRUCE: Bundle Recommendation Using Contextualized item Embeddings. - Tzoof Avny Brosh; Amit Livne; Oren Sar Shalom; Bracha Shapira; Mark Last (RecSys, 2022)

Investigating the Value of Subtitles for Improved Movie Recommendations. - Sagi Eden; Amit Livne; Oren Sar Shalom; Bracha Shapira; Dietmar Jannach (UMAP, 2022)

Explainable multimodal machine learning model for classifying pregnancy drug safety. - Guy Shtar; Lior Rokach; Bracha Shapira; Elkana Kohn; Matitiahu Berkovitch; Maya Berlin (Bioinform., 2022)

Predicting application usage based on latent contextual information. - Adir Solomon; Bracha Shapira; Lior Rokach (Comput. Commun., 2022)

Evolving context-aware recommender systems with users in mind. - Amit Livne; Eliad Shem Tov; Adir Solomon; Achiya Elyasaf; Bracha Shapira; Lior Rokach (Expert Syst. Appl., 2022)

Prioritizing vulnerability patches in large networks. - Amir Olswang; Tom Gonda; Rami Puzis; Guy Shani; Bracha Shapira; Noam Tractinsky (Expert Syst. Appl., 2022)

A deep learning framework for predicting burglaries based on multiple contextual factors. - Adir Solomon; Mor Kertis; Bracha Shapira; Lior Rokach (Expert Syst. Appl., 2022)

Contextual security awareness: A context-based approach for assessing the security awareness of users. - Adir Solomon; Michael Michaelshvili; Ron Bitton; Bracha Shapira; Lior Rokach; Rami Puzis; Asaf Shabtai (Knowl. Based Syst., 2022)

Recommender Systems: Techniques, Applications, and Challenges. - Francesco Ricci 001; Lior Rokach; Bracha Shapira (Recommender Systems Handbook, 2022)

Predicting drug characteristics using biomedical text embedding. - Guy Shtar; Asnat Greenstein-Messica; Eyal Mazuz; Lior Rokach; Bracha Shapira (BMC Bioinform., 2022)

Promoting Tail Item Recommendations in E-Commerce. - Tamar Didi; Ido Guy; Amit Livne; Arnon Dagan; Lior Rokach; Bracha Shapira (UMAP, 2023)

AMFPMC - An improved method of detecting multiple types of drug-drug interactions using only known drug-drug interactions. - Bar Vered; Guy Shtar; Lior Rokach; Bracha Shapira (CoRR, 2023)

TTANAD: Test-Time Augmentation for Network Anomaly Detection. - Seffi Cohen; Niv Goldshlager; Bracha Shapira; Lior Rokach (Entropy, 2023)

Boosting anomaly detection using unsupervised diverse test-time augmentation. - Seffi Cohen; Niv Goldshlager; Lior Rokach; Bracha Shapira (Inf. Sci., 2023)

Pretrained transformer models for predicting the withdrawal of drugs from the market. - Eyal Mazuz; Guy Shtar; Nir Kutsky; Lior Rokach; Bracha Shapira (Bioinform., 2023)

Shapley-based feature augmentation. - Liat Antwarg; Chen Galed; Nathaniel Shimoni; Lior Rokach; Bracha Shapira (Inf. Fusion, 2023)

DeepCAN: Hybrid Method for Road Type Classification Using Vehicle Sensor Data for Smart Autonomous Mobility. - Adva Hadrian; Roman Vainshtein; Bracha Shapira; Lior Rokach (IEEE Trans. Intell. Transp. Syst., 2023)

Context aware Markov chains models. - Ariel Bar; Bracha Shapira; Lior Rokach (Knowl. Based Syst., 2023)

FairUS - UpSampling Optimized Method for Boosting Fairness. - Nurit Cohen-Inger; Guy Rozenblatt; Seffi Cohen; Lior Rokach; Bracha Shapira (ECAI, 2024)

RecTemp: Temporal Reasoning in Recommendation Systems. - Adir Solomon; Tsvi Kuflik; Bracha Shapira; Ido Guy (RecSys, 2024)

Creating an Intelligent Social Media Campaign Decision-Support Method. - Amir Gabay; Adir Solomon; Ido Guy; Bracha Shapira (UMAP, 2024)

Eravacycline, an antibacterial drug, repurposed for pancreatic cancer therapy: insights from a molecular-based deep learning model. - Adi Jabarin; Guy Shtar; Valeria Feinshtein; Eyal Mazuz; Bracha Shapira; Shimon Ben-Shabat; Lior Rokach (Briefings Bioinform., 2024)

Data Completion In E-commerce. - Liat Antwarg Friedman; Gal Lavee; Bracha Shapira; Dorin Shmaryahu (EDBT, 2025)

X-Cross: Dynamic Integration of Language Models for Cross-Domain Sequential Recommendation. - Guy Hadad; Haggai Roitman; Yotam Eshel; Bracha Shapira; Lior Rokach (SIGIR, 2025)

Enhancing Data Annotation for Student Models: A Self-Training Approach with Large Language Models. - Gilad Fuchs; Alexander Nus; Yotam Eshel; Bracha Shapira (WWW (Companion Volume), 2025)

Graph Meets LLM for Review Personalization based on User Votes. - Sharon Hirsch; Lilach Zitnitski; Slava Novgorodov; Ido Guy; Bracha Shapira (WWW, 2025)

What is in a title? Characterizing product titles in e-commerce. - Sharon Hirsch; Ido Guy; Slava Novgorodov; Gal Lavee; Bracha Shapira (Expert Syst. Appl., 2025)

BiasGuard: Guardrailing Fairness in Machine Learning Production Systems. - Nurit Cohen-Inger; Seffi Cohen; Neomi Rabaev; Lior Rokach; Bracha Shapira (CoRR, 2025)

FairTTTS: A Tree Test Time Simulation Method for Fairness-Aware Classification. - Nurit Cohen-Inger; Lior Rokach; Bracha Shapira; Seffi Cohen (CoRR, 2025)

DFPE: A Diverse Fingerprint Ensemble for Enhancing LLM Performance. - Seffi Cohen; Niv Goldshlager; Nurit Cohen-Inger; Bracha Shapira; Lior Rokach (CoRR, 2025)

Forget What You Know about LLMs Evaluations - LLMs are Like a Chameleon. - Nurit Cohen-Inger; Yehonatan Elisha; Bracha Shapira; Lior Rokach; Seffi Cohen (CoRR, 2025)