Gilad Katz

Orcid: 0000-0001-9478-7550

According to our database1, Gilad Katz authored at least 57 papers between 2006 and 2024.

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Bibliography

2024
Automated algorithm selection using meta-learning and pre-trained deep convolution neural networks.
Inf. Fusion, May, 2024

Cost effective transfer of reinforcement learning policies.
Expert Syst. Appl., March, 2024

Dynamic selection of machine learning models for time-series data.
Inf. Sci., 2024

2023
Detecting Anomalous Network Communication Patterns Using Graph Convolutional Networks.
CoRR, 2023

ReMark: Receptive Field based Spatial WaterMark Embedding Optimization using Deep Network.
CoRR, 2023

Feedback Decision Transformer: Offline Reinforcement Learning With Feedback.
Proceedings of the IEEE International Conference on Data Mining, 2023

GraphERT- Transformers-based Temporal Dynamic Graph Embedding.
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.
Knowl. Based Syst., 2022

ReCom: A deep reinforcement learning approach for semi-supervised tabular data labeling.
Inf. Sci., 2022

Multi-objective pruning of dense neural networks using deep reinforcement learning.
Inf. Sci., 2022

Automatic features generation and selection from external sources: A DBpedia use case.
Inf. Sci., 2022

Cost-effective ensemble models selection using deep reinforcement learning.
Inf. Fusion, 2022

A Transferable and Automatic Tuning of Deep Reinforcement Learning for Cost Effective Phishing Detection.
CoRR, 2022

jTrans: Jump-Aware Transformer for Binary Code Similarity.
CoRR, 2022

jTrans: jump-aware transformer for binary code similarity detection.
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.
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.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Analyzing movement predictability using human attributes and behavioral patterns.
Comput. Environ. Urban Syst., 2021

F-PENN - Forest path encoding for neural networks.
Inf. Fusion, 2021

Secure Machine Learning in the Cloud Using One Way Scrambling by Deconvolution.
CoRR, 2021

A Meta Learning-Based Approach for Zero-Shot Co-Training.
IEEE Access, 2021

Hierarchical Deep Reinforcement Learning Approach for Multi-Objective Scheduling With Varying Queue Sizes.
Proceedings of the International Joint Conference on Neural Networks, 2021

2020
PIVEN: A Deep Neural Network for Prediction Intervals with Specific Value Prediction.
CoRR, 2020

Automatic Machine Learning Derived from Scholarly Big Data.
CoRR, 2020

DeepLine: AutoML Tool for Pipelines Generation using Deep Reinforcement Learning and Hierarchical Actions Filtering.
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.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

tdGraphEmbed: Temporal Dynamic Graph-Level Embedding.
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.
Proceedings of the 20th IEEE/ACM International Symposium on Cluster, 2020

CoMet: A Meta Learning-Based Approach for Cross-Dataset Labeling Using Co-Training.
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.
CoRR, 2019

Assessing the Quality of Scientific Papers.
CoRR, 2019

ASPIRE: Automated Security Policy Implementation Using Reinforcement Learning.
CoRR, 2019

New Item Consumption Prediction Using Deep Learning.
CoRR, 2019

AutoGRD: Model Recommendation Through Graphical Dataset Representation.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018
Vertical Ensemble Co-Training for Text Classification.
ACM Trans. Intell. Syst. Technol., 2018

MDGAN: Boosting Anomaly Detection Using Multi-Discriminator Generative Adversarial Networks.
CoRR, 2018

A Hybrid Approach for Automatic Model Recommendation.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

2017
Wikiometrics: a Wikipedia based ranking system.
World Wide Web, 2017

2016
ExploreKit: Automatic Feature Generation and Selection.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

2015
ConSent: Context-based sentiment analysis.
Knowl. Based Syst., 2015

Enabling Complex Wikipedia Queries - Technical Report.
CoRR, 2015

Sentiment Analysis in Transcribed Utterances.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015

Sensor-Based Approach for Predicting Departure Time of Smartphone Users.
Proceedings of the 2nd ACM International Conference on Mobile Software Engineering and Systems, 2015

2014
Adapted Features and Instance Selection for Improving Co-training.
Proceedings of the Interactive Knowledge Discovery and Data Mining in Biomedical Informatics, 2014

ConfDTree: A Statistical Method for Improving Decision Trees.
J. Comput. Sci. Technol., 2014

CoBAn: A context based model for data leakage prevention.
Inf. Sci., 2014

Wikipedia-based query performance prediction.
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.
J. Assoc. Inf. Sci. Technol., 2013

2012
Using Wikipedia to Boost SVD Recommender Systems
CoRR, 2012

ConfDTree: Improving Decision Trees Using Confidence Intervals.
Proceedings of the 12th IEEE International Conference on Data Mining, 2012

Predicting Student Exam's Scores by Analyzing Social Network Data.
Proceedings of the Active Media Technology - 8th International Conference, 2012

2011
Using Wikipedia to boost collaborative filtering techniques.
Proceedings of the 2011 ACM Conference on Recommender Systems, 2011

Analyzing group communication for preventing data leakage via email.
Proceedings of the 2011 IEEE International Conference on Intelligence and Security Informatics, 2011

2009
Wiener solution of electrical equalizer coefficients in lightwave systems.
IEEE Trans. Commun., 2009

2008
A nonlinear electrical equalizer with decision feedback for OOK optical communication systems.
IEEE Trans. Commun., 2008

2006
Electrical Dispersion Compensation Equalizers in Optical Direct- and Coherent-Detection Systems.
IEEE Trans. Commun., 2006

Analytical Solution of Optimal Electrical Equalization Coefficents.
Proceedings of IEEE International Conference on Communications, 2006


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