Gilad Katz

According to our database, Gilad Katz authored at least 58 papers between 2006 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Automated algorithm selection using meta-learning and pre-trained deep convolution neural networks.

Itai Dagan, Roman Vainshtein, Gilad Katz, Lior Rokach

Inf. Fusion, May, 2024

Cost effective transfer of reinforcement learning policies.

Orel Lavie, Asaf Shabtai, Gilad Katz

Expert Syst. Appl., March, 2024

Dynamic selection of machine learning models for time-series data.

Rotem Hananya, Gilad Katz

Inf. Sci., 2024

Markov flow policy - deep MC.

Nitsan Soffair, Gilad Katz

CoRR, 2024

2023

Detecting Anomalous Network Communication Patterns Using Graph Convolutional Networks.

Yizhak Vaisman, Gilad Katz, Yuval Elovici, Asaf Shabtai

CoRR, 2023

ReMark: Receptive Field based Spatial WaterMark Embedding Optimization using Deep Network.

Natan Semyonov, Rami Puzis, Asaf Shabtai, Gilad Katz

CoRR, 2023

Feedback Decision Transformer: Offline Reinforcement Learning With Feedback.

Liad Giladi, Gilad Katz

Proceedings of the IEEE International Conference on Data Mining, 2023

GraphERT- Transformers-based Temporal Dynamic Graph Embedding.

Moran Beladev, Gilad Katz, Lior Rokach, Uriel Singer, Kira Radinsky

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

Integrated prediction intervals and specific value predictions for regression problems using neural networks.

Eli Simhayev, Gilad Katz, Lior Rokach

Knowl. Based Syst., 2022

ReCom: A deep reinforcement learning approach for semi-supervised tabular data labeling.

Guy Zaks, Gilad Katz

Inf. Sci., 2022

Multi-objective pruning of dense neural networks using deep reinforcement learning.

Lior Hirsch, Gilad Katz

Inf. Sci., 2022

Automatic features generation and selection from external sources: A DBpedia use case.

Asaf Harari, Gilad Katz

Inf. Sci., 2022

Cost-effective ensemble models selection using deep reinforcement learning.

Yoni Birman, Shaked Hindi, Gilad Katz, Asaf Shabtai

Inf. Fusion, 2022

A Transferable and Automatic Tuning of Deep Reinforcement Learning for Cost Effective Phishing Detection.

Orel Lavie, Asaf Shabtai, Gilad Katz

CoRR, 2022

jTrans: Jump-Aware Transformer for Binary Code Similarity.

Hao Wang, Wenjie Qu, Gilad Katz, Wenyu Zhu, Zeyu Gao, Han Qiu, Jianwei Zhuge, Chao Zhang

CoRR, 2022

jTrans: jump-aware transformer for binary code similarity detection.

Hao Wang, Wenjie Qu, Gilad Katz, Wenyu Zhu, Zeyu Gao, Han Qiu, Jianwei Zhuge, Chao Zhang

Proceedings of the ISSTA '22: 31st ACM SIGSOFT International Symposium on Software Testing and Analysis, Virtual Event, South Korea, July 18, 2022

Few-Shot Tabular Data Enrichment Using Fine-Tuned Transformer Architectures.

Asaf Harari, Gilad Katz

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Q-Ball: Modeling Basketball Games Using Deep Reinforcement Learning.

Chen Yanai, Adir Solomon, Gilad Katz, Bracha Shapira, Lior Rokach

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

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

F-PENN - Forest path encoding for neural networks.

Yoni Cohen, Gilad Katz, Lior Rokach

Inf. Fusion, 2021

Secure Machine Learning in the Cloud Using One Way Scrambling by Deconvolution.

Yiftach Savransky, Roni Mateless, Gilad Katz

CoRR, 2021

A Meta Learning-Based Approach for Zero-Shot Co-Training.

Guy Zaks, Gilad Katz

IEEE Access, 2021

Hierarchical Deep Reinforcement Learning Approach for Multi-Objective Scheduling With Varying Queue Sizes.

Yoni Birman, Ziv Ido, Gilad Katz, Asaf Shabtai

Proceedings of the International Joint Conference on Neural Networks, 2021

2020

PIVEN: A Deep Neural Network for Prediction Intervals with Specific Value Prediction.

Eli Simhayev, Gilad Katz, Lior Rokach

CoRR, 2020

Automatic Machine Learning Derived from Scholarly Big Data.

Asnat Greenstein-Messica, Roman Vainshtein, Gilad Katz, Bracha Shapira, Lior Rokach

CoRR, 2020

DeepLine: AutoML Tool for Pipelines Generation using Deep Reinforcement Learning and Hierarchical Actions Filtering.

Yuval Heffetz, Roman Vainshtein, Gilad Katz, Lior Rokach

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

MetaTPOT: Enhancing A Tree-based Pipeline Optimization Tool Using Meta-Learning.

Doron Laadan, Roman Vainshtein, Yarden Curiel, Gilad Katz, Lior Rokach

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

tdGraphEmbed: Temporal Dynamic Graph-Level Embedding.

Moran Beladev, Lior Rokach, Gilad Katz, Ido Guy, Kira Radinsky

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Cost-Effective Malware Detection as a Service Over Serverless Cloud Using Deep Reinforcement Learning.

Yoni Birman, Shaked Hindi, Gilad Katz, Asaf Shabtai

Proceedings of the 20th IEEE/ACM International Symposium on Cluster, 2020

CoMet: A Meta Learning-Based Approach for Cross-Dataset Labeling Using Co-Training.

Guy Zaks, Gilad Katz

Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

2019

RankML: a Meta Learning-Based Approach for Pre-Ranking Machine Learning Pipelines.

Doron Laadan, Roman Vainshtein, Yarden Curiel, Gilad Katz, Lior Rokach

CoRR, 2019

Assessing the Quality of Scientific Papers.

Roman Vainshtein, Gilad Katz, Bracha Shapira, Lior Rokach

CoRR, 2019

ASPIRE: Automated Security Policy Implementation Using Reinforcement Learning.

Yoni Birman, Shaked Hindi, Gilad Katz, Asaf Shabtai

CoRR, 2019

New Item Consumption Prediction Using Deep Learning.

Michael Shekasta, Gilad Katz, Asnat Greenstein-Messica, Lior Rokach, Bracha Shapira

CoRR, 2019

AutoGRD: Model Recommendation Through Graphical Dataset Representation.

Noy Cohen-Shapira, Lior Rokach, Bracha Shapira, Gilad Katz, Roman Vainshtein

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018

Vertical Ensemble Co-Training for Text Classification.

Gilad Katz, Cornelia Caragea, Asaf Shabtai

ACM Trans. Intell. Syst. Technol., 2018

MDGAN: Boosting Anomaly Detection Using Multi-Discriminator Generative Adversarial Networks.

Yotam Intrator, Gilad Katz, Asaf Shabtai

CoRR, 2018

A Hybrid Approach for Automatic Model Recommendation.

Roman Vainshtein, Asnat Greenstein-Messica, Gilad Katz, Bracha Shapira, Lior Rokach

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

2017

Wikiometrics: a Wikipedia based ranking system.

Gilad Katz, Lior Rokach

World Wide Web, 2017

2016

ExploreKit: Automatic Feature Generation and Selection.

Gilad Katz, Eui Chul Richard Shin, Dawn Song

Proceedings of the IEEE 16th International Conference on Data Mining, 2016

2015

ConSent: Context-based sentiment analysis.

Gilad Katz, Nir Ofek, Bracha Shapira

Knowl. Based Syst., 2015

Enabling Complex Wikipedia Queries - Technical Report.

Gilad Katz, Bracha Shapira

CoRR, 2015

Sentiment Analysis in Transcribed Utterances.

Nir Ofek, Gilad Katz, Bracha Shapira, Yedidya Bar-Zev

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015

Sensor-Based Approach for Predicting Departure Time of Smartphone Users.

Ron Biton, Gilad Katz, Asaf Shabtai

Proceedings of the 2nd ACM International Conference on Mobile Software Engineering and Systems, 2015

2014

Adapted Features and Instance Selection for Improving Co-training.

Gilad Katz, Asaf Shabtai, Lior Rokach

Proceedings of the Interactive Knowledge Discovery and Data Mining in Biomedical Informatics, 2014

ConfDTree: A Statistical Method for Improving Decision Trees.

Gilad Katz, Asaf Shabtai, Lior Rokach, Nir Ofek

J. Comput. Sci. Technol., 2014

CoBAn: A context based model for data leakage prevention.

Gilad Katz, Yuval Elovici, Bracha Shapira

Inf. Sci., 2014

Wikipedia-based query performance prediction.

Gilad Katz, Anna Shtok, Oren Kurland, Bracha Shapira, Lior Rokach

Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2014

2013

Analyzing group E-mail exchange to detect data leakage.

Polina Zilberman, Gilad Katz, Asaf Shabtai, Yuval Elovici

J. Assoc. Inf. Sci. Technol., 2013

2012

Using Wikipedia to Boost SVD Recommender Systems

Gilad Katz, Guy Shani, Bracha Shapira, Lior Rokach

CoRR, 2012

ConfDTree: Improving Decision Trees Using Confidence Intervals.

Gilad Katz, Asaf Shabtai, Lior Rokach, Nir Ofek

Proceedings of the 12th IEEE International Conference on Data Mining, 2012

Predicting Student Exam's Scores by Analyzing Social Network Data.

Michael Fire, Gilad Katz, Yuval Elovici, Bracha Shapira, Lior Rokach

Proceedings of the Active Media Technology - 8th International Conference, 2012

2011

Using Wikipedia to boost collaborative filtering techniques.

Gilad Katz, Nir Ofek, Bracha Shapira, Lior Rokach, Guy Shani

Proceedings of the 2011 ACM Conference on Recommender Systems, 2011

Analyzing group communication for preventing data leakage via email.

Polina Zilberman, Shlomi Dolev, Gilad Katz, Yuval Elovici, Asaf Shabtai

Proceedings of the 2011 IEEE International Conference on Intelligence and Security Informatics, 2011

2009

Wiener solution of electrical equalizer coefficients in lightwave systems.

Gilad Katz, Dan Sadot

IEEE Trans. Commun., 2009

2008

A nonlinear electrical equalizer with decision feedback for OOK optical communication systems.

Gilad Katz, Dan Sadot

IEEE Trans. Commun., 2008

2006

Electrical Dispersion Compensation Equalizers in Optical Direct- and Coherent-Detection Systems.

Gilad Katz, Dan Sadot, Joseph Tabrikian

IEEE Trans. Commun., 2006

Analytical Solution of Optimal Electrical Equalization Coefficents.

Gilad Katz, Dan Sadot

Proceedings of IEEE International Conference on Communications, 2006