Gilad Katz

发表

Strangers Intrusion Detection - Detecting Spammers and Fake Proles in Social Networks Based on Topology Anomalies

Y. Elovici, Michael Fire, Gilad Katz, 2012 .

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

Lior Rokach, Gilad Katz, Roman Vainshtein, 2019, KDD.

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

Gilad Katz, Asaf Harari, Gilad Katz, 2022, Inf. Sci..

ConfDTree: Improving Decision Trees Using Confidence Intervals

Lior Rokach, Asaf Shabtai, Nir Ofek, 2012, 2012 IEEE 12th International Conference on Data Mining.

tdGraphEmbed: Temporal Dynamic Graph-Level Embedding

Lior Rokach, Kira Radinsky, Gilad Katz, 2020, CIKM.

ReCom: A Deep Reinforcement Learning Approach for Semi-Supervised Tabular Data Labeling

Gilad Katz, Guy Zaks, Gilad Katz, 2021, Information Sciences.

AutoGRD

L. Rokach, Bracha Shapira, Gilad Katz, 2019, Proceedings of the 28th ACM International Conference on Information and Knowledge Management.

AutoGRD: Model Recommendation Through Graphical Dataset Representation

Lior Rokach, Bracha Shapira, Noy Cohen-Shapira, 2019, CIKM.

Cost-effective ensemble models selection using deep reinforcement learning

Shaked Hindi, Asaf Shabtai, Gilad Katz, 2021, Inf. Fusion.

Transferable Cost-Aware Security Policy Implementation for Malware Detection Using Deep Reinforcement Learning.

A. Shabtai, Gilad Katz, Yoni Birman, 2020, 1905.10517.

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

Lior Rokach, Gilad Katz, Eli Simhayev, 2020, ArXiv.

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

Asaf Shabtai, Gilad Katz, Yotam Intrator, 2018, ArXiv.

Analyzing movement predictability using human attributes and behavioral patterns

Lior Rokach, Bracha Shapira, Gilad Katz, 2021, Comput. Environ. Urban Syst..

jTrans: jump-aware transformer for binary code similarity detection

Hao Wang, Gilad Katz, Wenyu Zhu, 2022, ISSTA.

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

A. Shabtai, Gilad Katz, Orel Lavie, 2022, ArXiv.

Sentiment Analysis in Transcribed Utterances

Bracha Shapira, Nir Ofek, Gilad Katz, 2015, PAKDD.

ConfDTree: A Statistical Method for Improving Decision Trees

Lior Rokach, Asaf Shabtai, Nir Ofek, 2014, Journal of Computer Science and Technology.

New Item Consumption Prediction Using Deep Learning pdf

Lior Rokach, Bracha Shapira, Gilad Katz, 2019, ArXiv.

ConSent: Context-based sentiment analysis

Bracha Shapira, Nir Ofek, Gilad Katz, 2015, Knowl. Based Syst..

Assessing the Quality of Scientific Papers pdf

Lior Rokach, Bracha Shapira, Gilad Katz, 2019, ArXiv.

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

Gilad Katz, Guy Zaks, Gilad Katz, 2021, IEEE Access.

Using Wikipedia to boost collaborative filtering techniques

Guy Shani, Lior Rokach, Bracha Shapira, 2011, RecSys '11.

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

Gilad Katz, Lior M Hirsch, 2022, Inf. Sci..

Vertical Ensemble Co-Training for Text Classification

Cornelia Caragea, Asaf Shabtai, Gilad Katz, 2017, ACM Trans. Intell. Syst. Technol..

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

L. Rokach, Gilad Katz, Eli Simhayev, 2022, Knowl. Based Syst..

ExploreKit: Automatic Feature Generation and Selection

Dawn Xiaodong Song, Eui Chul Richard Shin, Gilad Katz, 2016, 2016 IEEE 16th International Conference on Data Mining (ICDM).

Wikipedia-based query performance prediction

Lior Rokach, Oren Kurland, Bracha Shapira, 2014, SIGIR.

Predicting Student Exam's Scores by Analyzing Social Network Data

Lior Rokach, Yuval Elovici, Bracha Shapira, 2012, AMT.

Links Reconstruction Attack

Lior Rokach, Yuval Elovici, Michael Fire, 2013 .

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

Asaf Shabtai, Gilad Katz, Yoni Birman, 2020, 2021 International Joint Conference on Neural Networks (IJCNN).

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

Lior Rokach, Gilad Katz, Roman Vainshtein, 2019, ArXiv.

Adapted Features and Instance Selection for Improving Co-training

Lior Rokach, Asaf Shabtai, Gilad Katz, 2014, Interactive Knowledge Discovery and Data Mining in Biomedical Informatics.

CoBAn : A Context Based Approach for Text Classification

Bracha Shapira, Gilad Katz, Nir Ofek, 2014 .

Anomaly Detection for Aggregated Data Using Multi-Graph Autoencoder pdf

Roni Stern, Gilad Katz, Tomer Meirman, 2021, ArXiv.

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

Gilad Katz, Roni Mateless, Yiftach Savransky, 2021, ArXiv.

Cost effective transfer of reinforcement learning policies

A. Shabtai, Gilad Katz, Orel Lavie, 2023, Expert Syst. Appl..

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

Shaked Hindi, Asaf Shabtai, Gilad Katz, 2020, 2020 20th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGRID).

Implementation of a Novel OCDMA PON Based on Self-Heterodyne Filtering

D. Sadot, G. Katz, O. Levy, 2009, Journal of Lightwave Technology.

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

Gilad Katz, Asaf Harari, 2022, ACL.

CoBAn: A context based model for data leakage prevention

Yuval Elovici, Bracha Shapira, Gilad Katz, 2014, Inf. Sci..