Gilad Katz - RankMe

64 papers A* 6A 8B 2C 1Journal 41Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Generative Proto-Sequence: Sequence-Level Decision Making for Long-Horizon Reinforcement Learning. Trans. Mach. Learn. Res. Netanel Fried, Liad Giladi, Gilad Katz
2025	J	`jnl`	Synthetic tabular data generation using a VAE-GAN architecture. Knowl. Based Syst. Dmitry Anshelevich, Gilad Katz
2025	J	`jnl`	Token-based Audio Inpainting via Discrete Diffusion. CoRR Tali Dror, Iftach Shoham, Moshe Buchris, Oren Gal, Haim H. Permuter, Gilad Katz, Eliya Nachmani
2024	J	`jnl`	Automated algorithm selection using meta-learning and pre-trained deep convolution neural networks. Inf. Fusion Itai Dagan, Roman Vainshtein, Gilad Katz, Lior Rokach
2024	J	`jnl`	Cost effective transfer of reinforcement learning policies. Expert Syst. Appl. Orel Lavie, Asaf Shabtai, Gilad Katz
2024	J	`jnl`	Dynamic selection of machine learning models for time-series data. Inf. Sci. Rotem Hananya, Gilad Katz
2023	J	`jnl`	Detecting Anomalous Network Communication Patterns Using Graph Convolutional Networks. CoRR Yizhak Vaisman, Gilad Katz, Yuval Elovici, Asaf Shabtai
2023	A*	`conf`	Feedback Decision Transformer: Offline Reinforcement Learning With Feedback. ICDM Liad Giladi, Gilad Katz
2023	A	`conf`	GraphERT- Transformers-based Temporal Dynamic Graph Embedding. CIKM Moran Beladev, Gilad Katz, Lior Rokach, Uriel Singer, Kira Radinsky
2023	J	`jnl`	ReMark: Receptive Field based Spatial WaterMark Embedding Optimization using Deep Network. CoRR Natan Semyonov, Rami Puzis, Asaf Shabtai, Gilad Katz
2022	J	`jnl`	A Transferable and Automatic Tuning of Deep Reinforcement Learning for Cost Effective Phishing Detection. CoRR Orel Lavie, Asaf Shabtai, Gilad Katz
2022	J	`jnl`	Automatic features generation and selection from external sources: A DBpedia use case. Inf. Sci. Asaf Harari, Gilad Katz
2022	J	`jnl`	Cost-effective ensemble models selection using deep reinforcement learning. Inf. Fusion Yoni Birman, Shaked Hindi, Gilad Katz, Asaf Shabtai
2022	—	`conf`	Few-Shot Tabular Data Enrichment Using Fine-Tuned Transformer Architectures. ACL (1) Asaf Harari, Gilad Katz
2022	J	`jnl`	Integrated prediction intervals and specific value predictions for regression problems using neural networks. Knowl. Based Syst. Eli Simhayev, Gilad Katz, Lior Rokach
2022	J	`jnl`	Multi-objective pruning of dense neural networks using deep reinforcement learning. Inf. Sci. Lior Hirsch, Gilad Katz
2022	A*	`conf`	Q-Ball: Modeling Basketball Games Using Deep Reinforcement Learning. AAAI Chen Yanai, Adir Solomon, Gilad Katz, Bracha Shapira, Lior Rokach
2022	J	`jnl`	ReCom: A deep reinforcement learning approach for semi-supervised tabular data labeling. Inf. Sci. Guy Zaks, Gilad Katz
2022	J	`jnl`	jTrans: Jump-Aware Transformer for Binary Code Similarity. CoRR Hao Wang, Wenjie Qu, Gilad Katz, Wenyu Zhu, Zeyu Gao, Han Qiu, Jianwei Zhuge, Chao Zhang
2022	A	`conf`	jTrans: jump-aware transformer for binary code similarity detection. ISSTA Hao Wang, Wenjie Qu, Gilad Katz, Wenyu Zhu, Zeyu Gao, Han Qiu, Jianwei Zhuge, Chao Zhang
2021	J	`jnl`	A Meta Learning-Based Approach for Zero-Shot Co-Training. IEEE Access Guy Zaks, Gilad Katz
2021	J	`jnl`	Analyzing movement predictability using human attributes and behavioral patterns. Comput. Environ. Urban Syst. Adir Solomon, Amit Livne, Gilad Katz, Bracha Shapira, Lior Rokach
2021	J	`jnl`	F-PENN - Forest path encoding for neural networks. Inf. Fusion Yoni Cohen, Gilad Katz, Lior Rokach
2021	B	`conf`	Hierarchical Deep Reinforcement Learning Approach for Multi-Objective Scheduling With Varying Queue Sizes. IJCNN Yoni Birman, Ziv Ido, Gilad Katz, Asaf Shabtai
2021	J	`jnl`	Secure Machine Learning in the Cloud Using One Way Scrambling by Deconvolution. CoRR Yiftach Savransky, Roni Mateless, Gilad Katz
2020	J	`jnl`	Automatic Machine Learning Derived from Scholarly Big Data. CoRR Asnat Greenstein-Messica, Roman Vainshtein, Gilad Katz, Bracha Shapira, Lior Rokach
2020	A	`conf`	CoMet: A Meta Learning-Based Approach for Cross-Dataset Labeling Using Co-Training. AAMAS Guy Zaks, Gilad Katz
2020	B	`conf`	Cost-Effective Malware Detection as a Service Over Serverless Cloud Using Deep Reinforcement Learning. CCGRID Yoni Birman, Shaked Hindi, Gilad Katz, Asaf Shabtai
2020	A*	`conf`	DeepLine: AutoML Tool for Pipelines Generation using Deep Reinforcement Learning and Hierarchical Actions Filtering. KDD Yuval Heffetz, Roman Vainshtein, Gilad Katz, Lior Rokach
2020	J	`jnl`	Hierarchical Deep Reinforcement Learning Approach for Multi-Objective Scheduling With Varying Queue Sizes. CoRR Yoni Birman, Ziv Ido, Gilad Katz, Asaf Shabtai
2020	A	`conf`	MetaTPOT: Enhancing A Tree-based Pipeline Optimization Tool Using Meta-Learning. CIKM Doron Laadan, Roman Vainshtein, Yarden Curiel, Gilad Katz, Lior Rokach
2020	J	`jnl`	PIVEN: A Deep Neural Network for Prediction Intervals with Specific Value Prediction. CoRR Eli Simhayev, Gilad Katz, Lior Rokach
2020	A	`conf`	tdGraphEmbed: Temporal Dynamic Graph-Level Embedding. CIKM Moran Beladev, Lior Rokach, Gilad Katz, Ido Guy, Kira Radinsky
2019	J	`jnl`	ASPIRE: Automated Security Policy Implementation Using Reinforcement Learning. CoRR Yoni Birman, Shaked Hindi, Gilad Katz, Asaf Shabtai
2019	J	`jnl`	Assessing the Quality of Scientific Papers. CoRR Roman Vainshtein, Gilad Katz, Bracha Shapira, Lior Rokach
2019	A	`conf`	AutoGRD: Model Recommendation Through Graphical Dataset Representation. CIKM Noy Cohen-Shapira, Lior Rokach, Bracha Shapira, Gilad Katz, Roman Vainshtein
2019	J	`jnl`	DeepLine: AutoML Tool for Pipelines Generation using Deep Reinforcement Learning and Hierarchical Actions Filtering. CoRR Yuval Heffetz, Roman Vainshtein, Gilad Katz, Lior Rokach
2019	J	`jnl`	New Item Consumption Prediction Using Deep Learning. CoRR Michael Shekasta, Gilad Katz, Asnat Greenstein-Messica, Lior Rokach, Bracha Shapira
2019	J	`jnl`	RankML: a Meta Learning-Based Approach for Pre-Ranking Machine Learning Pipelines. CoRR Doron Laadan, Roman Vainshtein, Yarden Curiel, Gilad Katz, Lior Rokach
2018	A	`conf`	A Hybrid Approach for Automatic Model Recommendation. CIKM Roman Vainshtein, Asnat Greenstein-Messica, Gilad Katz, Bracha Shapira, Lior Rokach
2018	J	`jnl`	MDGAN: Boosting Anomaly Detection Using Multi-Discriminator Generative Adversarial Networks. CoRR Yotam Intrator, Gilad Katz, Asaf Shabtai
2018	J	`jnl`	Vertical Ensemble Co-Training for Text Classification. ACM Trans. Intell. Syst. Technol. Gilad Katz, Cornelia Caragea, Asaf Shabtai
2017	J	`jnl`	Wikiometrics: a Wikipedia based ranking system. World Wide Web Gilad Katz, Lior Rokach
2016	A*	`conf`	ExploreKit: Automatic Feature Generation and Selection. ICDM Gilad Katz, Eui Chul Richard Shin, Dawn Song
2016	J	`jnl`	Wikiometrics: A Wikipedia Based Ranking System. CoRR Gilad Katz, Lior Rokach
2015	J	`jnl`	ConSent: Context-based sentiment analysis. Knowl. Based Syst. Gilad Katz, Nir Ofek, Bracha Shapira
2015	J	`jnl`	Enabling Complex Wikipedia Queries - Technical Report. CoRR Gilad Katz, Bracha Shapira
2015	—	`conf`	Sensor-Based Approach for Predicting Departure Time of Smartphone Users. MOBILESoft Ron Biton, Gilad Katz, Asaf Shabtai
2015	—	`conf`	Sentiment Analysis in Transcribed Utterances. PAKDD (2) Nir Ofek, Gilad Katz, Bracha Shapira, Yedidya Bar-Zev
2014	—	`ch.`	Adapted Features and Instance Selection for Improving Co-training. Interactive Knowledge Discovery and Data Mining in Biomedical Informatics Gilad Katz, Asaf Shabtai, Lior Rokach
2014	J	`jnl`	CoBAn: A context based model for data leakage prevention. Inf. Sci. Gilad Katz, Yuval Elovici, Bracha Shapira
2014	J	`jnl`	ConfDTree: A Statistical Method for Improving Decision Trees. J. Comput. Sci. Technol. Gilad Katz, Asaf Shabtai, Lior Rokach, Nir Ofek
2014	A*	`conf`	Wikipedia-based query performance prediction. SIGIR Gilad Katz, Anna Shtok, Oren Kurland, Bracha Shapira, Lior Rokach
2013	J	`jnl`	Analyzing group E-mail exchange to detect data leakage. J. Assoc. Inf. Sci. Technol. Polina Zilberman, Gilad Katz, Asaf Shabtai, Yuval Elovici
2012	A*	`conf`	ConfDTree: Improving Decision Trees Using Confidence Intervals. ICDM Gilad Katz, Asaf Shabtai, Lior Rokach, Nir Ofek
2012	—	`conf`	Predicting Student Exam's Scores by Analyzing Social Network Data. AMT Michael Fire, Gilad Katz, Yuval Elovici, Bracha Shapira, Lior Rokach
2012	J	`jnl`	Using Wikipedia to Boost SVD Recommender Systems CoRR Gilad Katz, Guy Shani, Bracha Shapira, Lior Rokach
2011	C	`conf`	Analyzing group communication for preventing data leakage via email. ISI Polina Zilberman, Shlomi Dolev, Gilad Katz, Yuval Elovici, Asaf Shabtai
2011	A	`conf`	Using Wikipedia to boost collaborative filtering techniques. RecSys Gilad Katz, Nir Ofek, Bracha Shapira, Lior Rokach, Guy Shani
2009	J	`jnl`	Wiener solution of electrical equalizer coefficients in lightwave systems. IEEE Trans. Commun. Gilad Katz, Dan Sadot
2008	J	`jnl`	A nonlinear electrical equalizer with decision feedback for OOK optical communication systems. IEEE Trans. Commun. Gilad Katz, Dan Sadot
2006	—	`conf`	Analytical Solution of Optimal Electrical Equalization Coefficents. ICC Gilad Katz, Dan Sadot
2006	J	`jnl`	Electrical Dispersion Compensation Equalizers in Optical Direct- and Coherent-Detection Systems. IEEE Trans. Commun. Gilad Katz, Dan Sadot, Joseph Tabrikian
2006	J	`jnl`	Electrical Dispersion Compensation Equalizers in Optical Direct- and Coherent-Detection Systems. IEEE Trans. Commun. Gilad Katz, Dan Sadot, Joseph Tabrikian