Gilad Katz

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 43

Top Topics

Anomaly Detection

Sentiment Analysis

Top Venues

Publications

Orel Lavie, Asaf Shabtai, Gilad Katz
Cost effective transfer of reinforcement learning policies. Expert Syst. Appl. 237 (Part A) (2024)
Rotem Hananya, Gilad Katz
Dynamic selection of machine learning models for time-series data. Inf. Sci. 665 (2024)
Itai Dagan, Roman Vainshtein, Gilad Katz, Lior Rokach
Automated algorithm selection using meta-learning and pre-trained deep convolution neural networks. Inf. Fusion 105 (2024)
Liad Giladi, Gilad Katz
Feedback Decision Transformer: Offline Reinforcement Learning With Feedback. ICDM (2023)
Moran Beladev, Gilad Katz, Lior Rokach, Uriel Singer, Kira Radinsky
GraphERT- Transformers-based Temporal Dynamic Graph Embedding. CIKM (2023)
Natan Semyonov, Rami Puzis, Asaf Shabtai, Gilad Katz
ReMark: Receptive Field based Spatial WaterMark Embedding Optimization using Deep Network. CoRR (2023)
Yizhak Vaisman, Gilad Katz, Yuval Elovici, Asaf Shabtai
Detecting Anomalous Network Communication Patterns Using Graph Convolutional Networks. CoRR (2023)
Asaf Harari, Gilad Katz
Few-Shot Tabular Data Enrichment Using Fine-Tuned Transformer Architectures. ACL (1) (2022)
Hao Wang, Wenjie Qu, Gilad Katz, Wenyu Zhu, Zeyu Gao, Han Qiu, Jianwei Zhuge, Chao Zhang
jTrans: jump-aware transformer for binary code similarity detection. ISSTA (2022)
Chen Yanai, Adir Solomon, Gilad Katz, Bracha Shapira, Lior Rokach
Q-Ball: Modeling Basketball Games Using Deep Reinforcement Learning. AAAI (2022)
Yoni Birman, Shaked Hindi, Gilad Katz, Asaf Shabtai
Cost-effective ensemble models selection using deep reinforcement learning. Inf. Fusion 77 (2022)
Orel Lavie, Asaf Shabtai, Gilad Katz
A Transferable and Automatic Tuning of Deep Reinforcement Learning for Cost Effective Phishing Detection. CoRR (2022)
Lior Hirsch, Gilad Katz
Multi-objective pruning of dense neural networks using deep reinforcement learning. Inf. Sci. 610 (2022)
Guy Zaks, Gilad Katz
ReCom: A deep reinforcement learning approach for semi-supervised tabular data labeling. Inf. Sci. 589 (2022)
Eli Simhayev, Gilad Katz, Lior Rokach
Integrated prediction intervals and specific value predictions for regression problems using neural networks. Knowl. Based Syst. 247 (2022)
Hao Wang, Wenjie Qu, Gilad Katz, Wenyu Zhu, Zeyu Gao, Han Qiu, Jianwei Zhuge, Chao Zhang
jTrans: Jump-Aware Transformer for Binary Code Similarity. CoRR (2022)
Asaf Harari, Gilad Katz
Automatic features generation and selection from external sources: A DBpedia use case. Inf. Sci. 582 (2022)
Yiftach Savransky, Roni Mateless, Gilad Katz
Secure Machine Learning in the Cloud Using One Way Scrambling by Deconvolution. CoRR (2021)
Yoni Cohen, Gilad Katz, Lior Rokach
F-PENN - Forest path encoding for neural networks. Inf. Fusion 75 (2021)
Tomer Meirman, Roni Stern, Gilad Katz
Anomaly Detection for Aggregated Data Using Multi-Graph Autoencoder. CoRR (2021)
Guy Zaks, Gilad Katz
A Meta Learning-Based Approach for Zero-Shot Co-Training. IEEE Access 9 (2021)
Yoni Birman, Ziv Ido, Gilad Katz, Asaf Shabtai
Hierarchical Deep Reinforcement Learning Approach for Multi-Objective Scheduling With Varying Queue Sizes. IJCNN (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)
Yoni Birman, Shaked Hindi, Gilad Katz, Asaf Shabtai
Cost-Effective Malware Detection as a Service Over Serverless Cloud Using Deep Reinforcement Learning. CCGRID (2020)
Asnat Greenstein-Messica, Roman Vainshtein, Gilad Katz, Bracha Shapira, Lior Rokach
Automatic Machine Learning Derived from Scholarly Big Data. CoRR (2020)
Guy Zaks, Gilad Katz
CoMet: A Meta Learning-Based Approach for Cross-Dataset Labeling Using Co-Training. AAMAS (2020)
Doron Laadan, Roman Vainshtein, Yarden Curiel, Gilad Katz, Lior Rokach
MetaTPOT: Enhancing A Tree-based Pipeline Optimization Tool Using Meta-Learning. CIKM (2020)
Yoni Birman, Ziv Ido, Gilad Katz, Asaf Shabtai
Hierarchical Deep Reinforcement Learning Approach for Multi-Objective Scheduling With Varying Queue Sizes. CoRR (2020)
Moran Beladev, Lior Rokach, Gilad Katz, Ido Guy, Kira Radinsky
tdGraphEmbed: Temporal Dynamic Graph-Level Embedding. CIKM (2020)
Eli Simhayev, Gilad Katz, Lior Rokach
PIVEN: A Deep Neural Network for Prediction Intervals with Specific Value Prediction. CoRR (2020)
Yuval Heffetz, Roman Vainshtein, Gilad Katz, Lior Rokach
DeepLine: AutoML Tool for Pipelines Generation using Deep Reinforcement Learning and Hierarchical Actions Filtering. KDD (2020)
Yoni Birman, Shaked Hindi, Gilad Katz, Asaf Shabtai
ASPIRE: Automated Security Policy Implementation Using Reinforcement Learning. CoRR (2019)
Michael Shekasta, Gilad Katz, Asnat Greenstein-Messica, Lior Rokach, Bracha Shapira
New Item Consumption Prediction Using Deep Learning. CoRR (2019)
Roman Vainshtein, Gilad Katz, Bracha Shapira, Lior Rokach
Assessing the Quality of Scientific Papers. CoRR (2019)
Noy Cohen-Shapira, Lior Rokach, Bracha Shapira, Gilad Katz, Roman Vainshtein
AutoGRD: Model Recommendation Through Graphical Dataset Representation. CIKM (2019)
Yuval Heffetz, Roman Vainshtein, Gilad Katz, Lior Rokach
DeepLine: AutoML Tool for Pipelines Generation using Deep Reinforcement Learning and Hierarchical Actions Filtering. CoRR (2019)
Doron Laadan, Roman Vainshtein, Yarden Curiel, Gilad Katz, Lior Rokach
RankML: a Meta Learning-Based Approach for Pre-Ranking Machine Learning Pipelines. CoRR (2019)
Yotam Intrator, Gilad Katz, Asaf Shabtai
MDGAN: Boosting Anomaly Detection Using Multi-Discriminator Generative Adversarial Networks. CoRR (2018)
Gilad Katz, Cornelia Caragea, Asaf Shabtai
Vertical Ensemble Co-Training for Text Classification. ACM Trans. Intell. Syst. Technol. 9 (2) (2018)
Roman Vainshtein, Asnat Greenstein-Messica, Gilad Katz, Bracha Shapira, Lior Rokach
A Hybrid Approach for Automatic Model Recommendation. CIKM (2018)
Gilad Katz, Lior Rokach
Wikiometrics: a Wikipedia based ranking system. World Wide Web 20 (6) (2017)
Gilad Katz, Lior Rokach
Wikiometrics: A Wikipedia Based Ranking System. CoRR (2016)
Gilad Katz, Eui Chul Richard Shin, Dawn Song
ExploreKit: Automatic Feature Generation and Selection. ICDM (2016)
Gilad Katz, Bracha Shapira
Enabling Complex Wikipedia Queries - Technical Report. CoRR (2015)
Gilad Katz, Nir Ofek, Bracha Shapira
ConSent: Context-based sentiment analysis. Knowl. Based Syst. 84 (2015)
Nir Ofek, Gilad Katz, Bracha Shapira, Yedidya Bar-Zev
Sentiment Analysis in Transcribed Utterances. PAKDD (2) (2015)
Ron Biton, Gilad Katz, Asaf Shabtai
Sensor-Based Approach for Predicting Departure Time of Smartphone Users. MOBILESoft (2015)
Gilad Katz, Asaf Shabtai, Lior Rokach, Nir Ofek
ConfDTree: A Statistical Method for Improving Decision Trees. J. Comput. Sci. Technol. 29 (3) (2014)
Gilad Katz, Anna Shtok, Oren Kurland, Bracha Shapira, Lior Rokach
Wikipedia-based query performance prediction. SIGIR (2014)
Gilad Katz, Yuval Elovici, Bracha Shapira
CoBAn: A context based model for data leakage prevention. Inf. Sci. 262 (2014)
Polina Zilberman, Gilad Katz, Asaf Shabtai, Yuval Elovici
Analyzing group E-mail exchange to detect data leakage. J. Assoc. Inf. Sci. Technol. 64 (9) (2013)
Gilad Katz, Asaf Shabtai, Lior Rokach, Nir Ofek
ConfDTree: Improving Decision Trees Using Confidence Intervals. ICDM (2012)
Michael Fire, Gilad Katz, Yuval Elovici, Bracha Shapira, Lior Rokach
Predicting Student Exam's Scores by Analyzing Social Network Data. AMT (2012)
Gilad Katz, Guy Shani, Bracha Shapira, Lior Rokach
Using Wikipedia to Boost SVD Recommender Systems CoRR (2012)
Gilad Katz, Nir Ofek, Bracha Shapira, Lior Rokach, Guy Shani
Using Wikipedia to boost collaborative filtering techniques. RecSys (2011)
Polina Zilberman, Shlomi Dolev, Gilad Katz, Yuval Elovici, Asaf Shabtai
Analyzing group communication for preventing data leakage via email. ISI (2011)
Gilad Katz, Dan Sadot
Wiener solution of electrical equalizer coefficients in lightwave systems. IEEE Trans. Commun. 57 (2) (2009)
Gilad Katz, Dan Sadot
A nonlinear electrical equalizer with decision feedback for OOK optical communication systems. IEEE Trans. Commun. 56 (12) (2008)
Gilad Katz, Dan Sadot, Joseph Tabrikian
Electrical Dispersion Compensation Equalizers in Optical Direct- and Coherent-Detection Systems. IEEE Trans. Commun. 54 (7) (2006)
Gilad Katz, Dan Sadot, Joseph Tabrikian
Electrical Dispersion Compensation Equalizers in Optical Direct- and Coherent-Detection Systems. IEEE Trans. Commun. 54 (11) (2006)
Gilad Katz, Dan Sadot
Analytical Solution of Optimal Electrical Equalization Coefficents. ICC (2006)