Analytical Solution of Optimal Electrical Equalization Coefficents. - Gilad Katz; Dan Sadot (ICC, 2006)

Electrical Dispersion Compensation Equalizers in Optical Direct- and Coherent-Detection Systems. - Gilad Katz; Dan Sadot; Joseph Tabrikian (IEEE Trans. Commun., 2006)

A nonlinear electrical equalizer with decision feedback for OOK optical communication systems. - Gilad Katz; Dan Sadot (IEEE Trans. Commun., 2008)

Wiener solution of electrical equalizer coefficients in lightwave systems. - Gilad Katz; Dan Sadot (IEEE Trans. Commun., 2009)

Analyzing group communication for preventing data leakage via email. - Polina Zilberman; Shlomi Dolev; Gilad Katz; Yuval Elovici; Asaf Shabtai (ISI, 2011)

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

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

ConfDTree: Improving Decision Trees Using Confidence Intervals. - Gilad Katz; Asaf Shabtai; Lior Rokach; Nir Ofek (ICDM, 2012)

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

Analyzing group E-mail exchange to detect data leakage. - Polina Zilberman; Gilad Katz; Asaf Shabtai; Yuval Elovici (J. Assoc. Inf. Sci. Technol., 2013)

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

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

ConfDTree: A Statistical Method for Improving Decision Trees. - Gilad Katz; Asaf Shabtai; Lior Rokach; Nir Ofek (J. Comput. Sci. Technol., 2014)

Adapted Features and Instance Selection for Improving Co-training. - Gilad Katz; Asaf Shabtai; Lior Rokach (Interactive Knowledge Discovery and Data Mining in Biomedical Informatics, 2014)

Sensor-Based Approach for Predicting Departure Time of Smartphone Users. - Ron Biton; Gilad Katz; Asaf Shabtai (MOBILESoft, 2015)

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

ExploreKit: Automatic Feature Generation and Selection. - Gilad Katz; Eui Chul Richard Shin; Dawn Song (ICDM, 2016)

Wikiometrics: a Wikipedia based ranking system. - Gilad Katz; Lior Rokach (World Wide Web, 2017)

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

MDGAN: Boosting Anomaly Detection Using Multi-Discriminator Generative Adversarial Networks. - Yotam Intrator; Gilad Katz; Asaf Shabtai (CoRR, 2018)

Vertical Ensemble Co-Training for Text Classification. - Gilad Katz; Cornelia Caragea; Asaf Shabtai (ACM Trans. Intell. Syst. Technol., 2018)

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

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

ASPIRE: Automated Security Policy Implementation Using Reinforcement Learning. - Yoni Birman; Shaked Hindi; Gilad Katz; Asaf Shabtai (CoRR, 2019)

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

CoMet: A Meta Learning-Based Approach for Cross-Dataset Labeling Using Co-Training. - Guy Zaks; Gilad Katz (AAMAS, 2020)

Cost-Effective Malware Detection as a Service Over Serverless Cloud Using Deep Reinforcement Learning. - Yoni Birman; Shaked Hindi; Gilad Katz; Asaf Shabtai (CCGRID, 2020)

tdGraphEmbed: Temporal Dynamic Graph-Level Embedding. - Moran Beladev; Lior Rokach; Gilad Katz; Ido Guy; Kira Radinsky (CIKM, 2020)

MetaTPOT: Enhancing A Tree-based Pipeline Optimization Tool Using Meta-Learning. - Doron Laadan; Roman Vainshtein; Yarden Curiel; Gilad Katz; Lior Rokach (CIKM, 2020)

DeepLine: AutoML Tool for Pipelines Generation using Deep Reinforcement Learning and Hierarchical Actions Filtering. - Yuval Heffetz; Roman Vainshtein; Gilad Katz; Lior Rokach (KDD, 2020)

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

PIVEN: A Deep Neural Network for Prediction Intervals with Specific Value Prediction. - Eli Simhayev; Gilad Katz; Lior Rokach (CoRR, 2020)

Hierarchical Deep Reinforcement Learning Approach for Multi-Objective Scheduling With Varying Queue Sizes. - Yoni Birman; Ziv Ido; Gilad Katz; Asaf Shabtai (IJCNN, 2021)

A Meta Learning-Based Approach for Zero-Shot Co-Training. - Guy Zaks; Gilad Katz (IEEE Access, 2021)

Secure Machine Learning in the Cloud Using One Way Scrambling by Deconvolution. - Yiftach Savransky; Roni Mateless; Gilad Katz (CoRR, 2021)

F-PENN - Forest path encoding for neural networks. - Yoni Cohen; Gilad Katz; Lior Rokach (Inf. Fusion, 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)

Few-Shot Tabular Data Enrichment Using Fine-Tuned Transformer Architectures. - Asaf Harari; Gilad Katz (ACL (1), 2022)

jTrans: jump-aware transformer for binary code similarity detection. - Hao Wang 003; Wenjie Qu 001; Gilad Katz; Wenyu Zhu; Zeyu Gao; Han Qiu 001; Jianwei Zhuge; Chao Zhang 008 (ISSTA, 2022)

jTrans: Jump-Aware Transformer for Binary Code Similarity. - Hao Wang 003; Wenjie Qu 001; Gilad Katz; Wenyu Zhu; Zeyu Gao; Han Qiu 001; Jianwei Zhuge; Chao Zhang 008 (CoRR, 2022)

A Transferable and Automatic Tuning of Deep Reinforcement Learning for Cost Effective Phishing Detection. - Orel Lavie; Asaf Shabtai; Gilad Katz (CoRR, 2022)

Cost-effective ensemble models selection using deep reinforcement learning. - Yoni Birman; Shaked Hindi; Gilad Katz; Asaf Shabtai (Inf. Fusion, 2022)

Automatic features generation and selection from external sources: A DBpedia use case. - Asaf Harari; Gilad Katz (Inf. Sci., 2022)

Multi-objective pruning of dense neural networks using deep reinforcement learning. - Lior Hirsch; Gilad Katz (Inf. Sci., 2022)

ReCom: A deep reinforcement learning approach for semi-supervised tabular data labeling. - Guy Zaks; Gilad Katz (Inf. Sci., 2022)

Integrated prediction intervals and specific value predictions for regression problems using neural networks. - Eli Simhayev; Gilad Katz; Lior Rokach (Knowl. Based Syst., 2022)

GraphERT- Transformers-based Temporal Dynamic Graph Embedding. - Moran Beladev; Gilad Katz; Lior Rokach; Uriel Singer; Kira Radinsky (CIKM, 2023)

Feedback Decision Transformer: Offline Reinforcement Learning With Feedback. - Liad Giladi; Gilad Katz (ICDM, 2023)

ReMark: Receptive Field based Spatial WaterMark Embedding Optimization using Deep Network. - Natan Semyonov; Rami Puzis; Asaf Shabtai; Gilad Katz (CoRR, 2023)

Detecting Anomalous Network Communication Patterns Using Graph Convolutional Networks. - Yizhak Vaisman; Gilad Katz; Yuval Elovici; Asaf Shabtai (CoRR, 2023)

Dynamic selection of machine learning models for time-series data. - Rotem Hananya; Gilad Katz (Inf. Sci., 2024)

Cost effective transfer of reinforcement learning policies. - Orel Lavie; Asaf Shabtai; Gilad Katz (Expert Syst. Appl., 2024)

Automated algorithm selection using meta-learning and pre-trained deep convolution neural networks. - Itai Dagan; Roman Vainshtein; Gilad Katz; Lior Rokach (Inf. Fusion, 2024)

Synthetic tabular data generation using a VAE-GAN architecture. - Dmitry Anshelevich; Gilad Katz (Knowl. Based Syst., 2025)

Token-based Audio Inpainting via Discrete Diffusion. - Tali Dror; Iftach Shoham; Moshe Buchris; Oren Gal; Haim H. Permuter; Gilad Katz; Eliya Nachmani (CoRR, 2025)