Bracha Shapira

ORCID

Publication Activity (10 Years)

Years Active: 1995-2024
Publications (10 Years): 91

Top Venues

Publications

Amir Gabay, Adir Solomon, Ido Guy, Bracha Shapira
Creating an Intelligent Social Media Campaign Decision-Support Method. UMAP (2024)
Seffi Cohen, Niv Goldshlager, Bracha Shapira, Lior Rokach
TTANAD: Test-Time Augmentation for Network Anomaly Detection. Entropy 25 (5) (2023)
Seffi Cohen, Niv Goldshlager, Lior Rokach, Bracha Shapira
Boosting anomaly detection using unsupervised diverse test-time augmentation. Inf. Sci. 626 (2023)
Tamar Didi, Ido Guy, Amit Livne, Arnon Dagan, Lior Rokach, Bracha Shapira
Promoting Tail Item Recommendations in E-Commerce. UMAP (2023)
Liat Antwarg, Chen Galed, Nathaniel Shimoni, Lior Rokach, Bracha Shapira
Shapley-based feature augmentation. Inf. Fusion 96 (2023)
Adva Hadrian, Roman Vainshtein, Bracha Shapira, Lior Rokach
DeepCAN: Hybrid Method for Road Type Classification Using Vehicle Sensor Data for Smart Autonomous Mobility. IEEE Trans. Intell. Transp. Syst. 24 (11) (2023)
Bar Vered, Guy Shtar, Lior Rokach, Bracha Shapira
AMFPMC - An improved method of detecting multiple types of drug-drug interactions using only known drug-drug interactions. CoRR (2023)
Ariel Bar, Bracha Shapira, Lior Rokach
Context aware Markov chains models. Knowl. Based Syst. 282 (2023)
Eyal Mazuz, Guy Shtar, Nir Kutsky, Lior Rokach, Bracha Shapira
Pretrained transformer models for predicting the withdrawal of drugs from the market. Bioinform. 39 (8) (2023)
Chen Yanai, Adir Solomon, Gilad Katz, Bracha Shapira, Lior Rokach
Q-Ball: Modeling Basketball Games Using Deep Reinforcement Learning. AAAI (2022)
Amir Olswang, Tom Gonda, Rami Puzis, Guy Shani, Bracha Shapira, Noam Tractinsky
Prioritizing vulnerability patches in large networks. Expert Syst. Appl. 193 (2022)
Adir Solomon, Michael Michaelshvili, Ron Bitton, Bracha Shapira, Lior Rokach, Rami Puzis, Asaf Shabtai
Contextual security awareness: A context-based approach for assessing the security awareness of users. Knowl. Based Syst. 246 (2022)
Adir Solomon, Mor Kertis, Bracha Shapira, Lior Rokach
A deep learning framework for predicting burglaries based on multiple contextual factors. Expert Syst. Appl. 199 (2022)
Guy Shtar, Asnat Greenstein-Messica, Eyal Mazuz, Lior Rokach, Bracha Shapira
Predicting drug characteristics using biomedical text embedding. BMC Bioinform. 23 (1) (2022)
Yarden Rotem, Nathaniel Shimoni, Lior Rokach, Bracha Shapira
Transfer learning for time series classification using synthetic data generation. CoRR (2022)
Sagi Eden, Amit Livne, Oren Sar Shalom, Bracha Shapira, Dietmar Jannach
Investigating the Value of Subtitles for Improved Movie Recommendations. UMAP (2022)
Tzoof Avny Brosh, Amit Livne, Oren Sar Shalom, Bracha Shapira, Mark Last
BRUCE: Bundle Recommendation Using Contextualized item Embeddings. RecSys (2022)
Guy Shtar, Lior Rokach, Bracha Shapira, Elkana Kohn, Matitiahu Berkovitch, Maya Berlin
Explainable multimodal machine learning model for classifying pregnancy drug safety. Bioinform. 38 (4) (2022)
Adir Solomon, Bracha Shapira, Lior Rokach
Predicting application usage based on latent contextual information. Comput. Commun. 192 (2022)
Yarden Rotem, Nathaniel Shimoni, Lior Rokach, Bracha Shapira
Transfer Learning for Time Series Classification Using Synthetic Data Generation. CSCML (2022)
Amit Livne, Eliad Shem Tov, Adir Solomon, Achiya Elyasaf, Bracha Shapira, Lior Rokach
Evolving context-aware recommender systems with users in mind. Expert Syst. Appl. 189 (2022)
Sagy Tuval, Bracha Shapira
The next best question: a lazy, anytime framework for adaptive feature acquisition. SAC (2021)
Adir Solomon, Amit Livne, Gilad Katz, Bracha Shapira, Lior Rokach
Analyzing movement predictability using human attributes and behavioral patterns. Comput. Environ. Urban Syst. 87 (2021)
Seffi Cohen, Niv Goldshlager, Lior Rokach, Bracha Shapira
Boosting Anomaly Detection Using Unsupervised Diverse Test-Time Augmentation. CoRR (2021)
Amit Livne, Roy Dor, Bracha Shapira, Lior Rokach
BNN: Boosting Neural Network Framework Utilizing Limited Amount of Data. CIKM (2021)
Itay Gabbay, Bracha Shapira, Lior Rokach
Isolation forests and landmarking-based representations for clustering algorithm recommendation using meta-learning. Inf. Sci. 574 (2021)
Liat Antwarg, Ronnie Mindlin Miller, Bracha Shapira, Lior Rokach
Explaining anomalies detected by autoencoders using Shapley Additive Explanations. Expert Syst. Appl. 186 (2021)
Asnat Greenstein-Messica, Roman Vainshtein, Gilad Katz, Bracha Shapira, Lior Rokach
Automatic Machine Learning Derived from Scholarly Big Data. CoRR (2020)
Amit Livne, Eliad Shem Tov, Adir Solomon, Achiya Elyasaf, Bracha Shapira, Lior Rokach
Evolving Context-Aware Recommender Systems With Users in Mind. CoRR (2020)
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)
Dorin Shmaryahu, Guy Shani, Bracha Shapira
Post-hoc Explanations for Complex Model Recommendations using Simple Methods. IntRS@RecSys (2020)
Hen Tzaban, Ido Guy, Asnat Greenstein-Messica, Arnon Dagan, Lior Rokach, Bracha Shapira
Product Bundle Identification using Semi-Supervised Learning. SIGIR (2020)
Hagit Grushka-Cohen, Ofer Biller, Oded Sofer, Lior Rokach, Bracha Shapira
Using Bandits for Effective Database Activity Monitoring. PAKDD (2) (2020)
Sigal Shaked, Amos Zamir, Roman Vainshtein, Moshe Unger, Lior Rokach, Rami Puzis, Bracha Shapira
Sequence Preserving Network Traffic Generation. CoRR (2020)
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 (2020)
Amit Livne, Roy Dor, Eyal Mazuz, Tamar Didi, Bracha Shapira, Lior Rokach
Iterative Boosting Deep Neural Networks for Predicting Click-Through Rate. CoRR (2020)
Guy Shtar, Bracha Shapira, Lior Rokach
Clustering Wi-Fi Fingerprints for Indoor-Outdoor Detection. CoRR (2019)
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) (2019)
Victor Makarenkov, Ido Guy, Niva Hazon, Tamar Meisels, Bracha Shapira, Lior Rokach
Implicit Dimension Identification in User-Generated Text with LSTM Networks. CoRR (2019)
Shir Frumerman, Guy Shani, Bracha Shapira, Oren Sar Shalom
Are All Rejected Recommendations Equally Bad?: Towards Analysing Rejected Recommendations. UMAP (2019)
Avi Segal, Kobi Gal, Guy Shani, Bracha Shapira
A difficulty ranking approach to personalization in E-learning. CoRR (2019)
Michael Shekasta, Gilad Katz, Asnat Greenstein-Messica, Lior Rokach, Bracha Shapira
New Item Consumption Prediction Using Deep Learning. CoRR (2019)
Guy Shtar, Bracha Shapira, Lior Rokach
Clustering Wi-Fi fingerprints for indoor-outdoor detection. Wirel. Networks 25 (3) (2019)
Eran Fainman, Bracha Shapira, Lior Rokach, Yisroel Mirsky
Online Budgeted Learning for Classifier Induction. CoRR (2019)
Roman Vainshtein, Gilad Katz, Bracha Shapira, Lior Rokach
Assessing the Quality of Scientific Papers. CoRR (2019)
Lior Perry, Bracha Shapira, Rami Puzis
NO-DOUBT: Attack Attribution Based On Threat Intelligence Reports. ISI (2019)
Victor Makarenkov, Lior Rokach, Bracha Shapira
Choosing the right word: Using bidirectional LSTM tagger for writing support systems. Eng. Appl. Artif. Intell. 84 (2019)
Liat Antwarg, Bracha Shapira, Lior Rokach
Explaining Anomalies Detected by Autoencoders Using SHAP. CoRR (2019)
Noy Cohen-Shapira, Lior Rokach, Bracha Shapira, Gilad Katz, Roman Vainshtein
AutoGRD: Model Recommendation Through Graphical Dataset Representation. CIKM (2019)
Victor Makarenkov, Lior Rokach, Bracha Shapira
Choosing the Right Word: Using Bidirectional LSTM Tagger for Writing Support Systems. CoRR (2019)
Saar Tal, Bracha Shapira, Lior Rokach
Personal Dynamic Cost-Aware Sensing for Latent Context Detection. CoRR (2019)
Hagit Grushka-Cohen, Ofer Biller, Oded Sofer, Lior Rokach, Bracha Shapira
Diversifying Database Activity Monitoring with Bandits. CoRR (2019)
Avi Segal, Kobi Gal, Guy Shani, Bracha Shapira
A difficulty ranking approach to personalization in E-learning. Int. J. Hum. Comput. Stud. 130 (2019)
Rami Puzis, Hadar Polad, Bracha Shapira
Attack Graph Obfuscation. CoRR (2019)
Amit Livne, Moshe Unger, Bracha Shapira, Lior Rokach
Deep Context-Aware Recommender System Utilizing Sequential Latent Context. CoRR (2019)
Guy Shtar, Lior Rokach, Bracha Shapira
Detecting drug-drug interactions using artificial neural networks and classic graph similarity measures. CoRR (2019)
Liron Ben Kimon, Yisroel Mirsky, Lior Rokach, Bracha Shapira
Utilizing Sequences of Touch Gestures for User Verification on Mobile Devices. PAKDD (3) (2018)
Moshe Unger, Bracha Shapira, Lior Rokach, Amit Livne
Inferring contextual preferences using deep encoder-decoder learners. New Rev. Hypermedia Multim. 24 (3) (2018)
Ido Guy, Victor Makarenkov, Niva Hazon, Lior Rokach, Bracha Shapira
Identifying Informational vs. Conversational Questions on Community Question Answering Archives. WSDM (2018)
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)
Noa Roy-Hubara, Lior Rokach, Bracha Shapira, Peretz Shoval
Evaluation of a Design Method for Graph Database. BPMDS/EMMSAD@CAiSE (2018)
Ido Guy, Bracha Shapira
From Royals to Vegans: Characterizing Question Trolling on a Community Question Answering Website. SIGIR (2018)
Roman Vainshtein, Asnat Greenstein-Messica, Gilad Katz, Bracha Shapira, Lior Rokach
A Hybrid Approach for Automatic Model Recommendation. CIKM (2018)
Balázs Hidasi, Alexandros Karatzoglou, Oren Sar Shalom, Bracha Shapira, Domonkos Tikk, Flavian Vasile, Sander Dieleman
DLRS 2018: third workshop on deep learning for recommender systems. RecSys (2018)
Shahar Admati, Lior Rokach, Bracha Shapira
Wikibook-Bot - Automatic Generation of a Wikipedia Book. CoRR (2018)
Nicola Ferro, 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, Bernardo Magnini, Jian-Yun Nie, Raffaele Perego, Bracha Shapira, Ian Soboroff, Nava Tintarev, Karin Verspoor, Martijn C. Willemsen, Justin Zobel
The Dagstuhl Perspectives Workshop on Performance Modeling and Prediction. SIGIR Forum 52 (1) (2018)
Tom Gonda, Tal Pascal, Rami Puzis, Guy Shani, Bracha Shapira
Analysis of Attack Graph Representations for Ranking Vulnerability Fixes. GCAI (2018)
Adir Solomon, Ariel Bar, Chen Yanai, Bracha Shapira, Lior Rokach
Predict Demographic Information Using Word2vec on Spatial Trajectories. UMAP (2018)
Nicola Ferro, 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, Bernardo Magnini, Jian-Yun Nie, Raffaele Perego, Bracha Shapira, Ian Soboroff, Nava Tintarev, Karin Verspoor, Martijn C. Willemsen, Justin Zobel
From Evaluating to Forecasting Performance: How to Turn Information Retrieval, Natural Language Processing and Recommender Systems into Predictive Sciences (Dagstuhl Perspectives Workshop 17442). Dagstuhl Manifestos 7 (1) (2018)
Noa Roy-Hubara, Lior Rokach, Bracha Shapira, Peretz Shoval
Modeling Graph Database Schema. IT Prof. 19 (6) (2017)
Yisroel Mirsky, Asaf Shabtai, Bracha Shapira, Yuval Elovici, Lior Rokach
Anomaly detection for smartphone data streams. Pervasive Mob. Comput. 35 (2017)
Tom Gonda, Rami Puzis, Bracha Shapira
Scalable Attack Path Finding for Increased Security. CSCML (2017)
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 (2017)
Balázs Hidasi, Alexandros Karatzoglou, Oren Sar Shalom, Sander Dieleman, Bracha Shapira, Domonkos Tikk
DLRS 2017: Second Workshop on Deep Learning for Recommender Systems. RecSys (2017)
Liron Ben Kimon, Yisroel Mirsky, Lior Rokach, Bracha Shapira
User Verification on Mobile Devices Using Sequences of Touch Gestures. UMAP (2017)
Moshe Unger, Bracha Shapira, Lior Rokach, Ariel Bar
Inferring Contextual Preferences Using Deep Auto-Encoding. UMAP (2017)
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 (2017)
Hadar Polad, Rami Puzis, Bracha Shapira
Attack Graph Obfuscation. CSCML (2017)
David Ben-Shimon, Lior Rokach, Bracha Shapira
An ensemble method for top-N recommendations from the SVD. Expert Syst. Appl. 64 (2016)
Moshe Unger, Ariel Bar, Bracha Shapira, Lior Rokach
Towards latent context-aware recommendation systems. Knowl. Based Syst. 104 (2016)
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)
Moran Beladev, Lior Rokach, Bracha Shapira
Recommender systems for product bundling. Knowl. Based Syst. 111 (2016)
Edita Grolman, Ariel Bar, Bracha Shapira, Lior Rokach, Aviram Dayan
Utilizing transfer learning for in-domain collaborative filtering. Knowl. Based Syst. 107 (2016)
Ariel Bar, Bracha Shapira, Lior Rokach, Moshe Unger
Scalable attack propagation model and algorithms for honeypot systems. IEEE BigData (2016)
Moshe Unger, Bracha Shapira, Lior Rokach, Ariel Bar
Deep Auto-Encoding for Context-Aware Inference of Preferred Items' Categories. RecSys Posters (2016)
Lihi Naamani Dery, Meir Kalech, Lior Rokach, Bracha Shapira
Reducing preference elicitation in group decision making. Expert Syst. Appl. 61 (2016)
David Ben-Shimon, Lior Rokach, Guy Shani, Bracha Shapira
Anytime Algorithms for Recommendation Service Providers. ACM Trans. Intell. Syst. Technol. 7 (3) (2016)
Victor Makarenkov, Bracha Shapira, Lior Rokach
Language Models with GloVe Word Embeddings. CoRR (2016)
Ariel Bar, Bracha Shapira, Lior Rokach, Moshe Unger
Identifying Attack Propagation Patterns in Honeypots Using Markov Chains Modeling and Complex Networks Analysis. SwSTE (2016)
Hagit Grushka-Cohen, Oded Sofer, Ofer Biller, Bracha Shapira, Lior Rokach
CyberRank: Knowledge Elicitation for Risk Assessment of Database Security. CIKM (2016)
Yisroel Mirsky, Asaf Shabtai, Lior Rokach, Bracha Shapira, Yuval Elovici
SherLock vs Moriarty: A Smartphone Dataset for Cybersecurity Research. AISec@CCS (2016)
Gilad Katz, Bracha Shapira
Enabling Complex Wikipedia Queries - Technical Report. CoRR (2015)
Moran Beladev, Bracha Shapira, Lior Rokach
Recommender Systems for Product Bundling. RecSys Posters (2015)
Mordechai Guri, Yuri Poliak, Bracha Shapira, Yuval Elovici
JoKER: Trusted Detection of Kernel Rootkits in Android Devices via JTAG Interface. TrustCom/BigDataSE/ISPA (1) (2015)
Victor Makarenkov, Bracha Shapira, Lior Rokach
Theoretical Categorization of Query Performance Predictors. ICTIR (2015)
Gilad Katz, Nir Ofek, Bracha Shapira
ConSent: Context-based sentiment analysis. Knowl. Based Syst. 84 (2015)
Mordechai Guri, Yuri Poliak, Bracha Shapira, Yuval Elovici
JoKER: Trusted Detection of Kernel Rootkits in Android Devices via JTAG Interface. CoRR (2015)
Dmitri Bekerman, Bracha Shapira, Lior Rokach, Ariel Bar
Unknown malware detection using network traffic classification. CNS (2015)
Yasmin Bokobza, Abigail Paradise, Guy Rapaport, Rami Puzis, Bracha Shapira, Asaf Shabtai
Leak Sinks: The Threat of Targeted Social Eavesdropping. ASONAM (2015)
David Ben-Shimon, Alexander Tsikinovsky, Michael Friedmann, Bracha Shapira, Lior Rokach, Johannes Hoerle
RecSys Challenge 2015 and the YOOCHOOSE Dataset. RecSys (2015)

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Publication Activity (10 Years)

Top Topics

Top Venues

Bracha Shapira