Gilad Katz

Emailgiladkzbgu.acil

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27 Article
21 Conference contribution
9 Preprint
1 Chapter
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- 1 Paper

Generative Proto-Sequence: Sequence-Level Decision Making for Long-Horizon Reinforcement Learning
Fried, N., Giladi, L. & Katz, G., 1 Jan 2025, In: Transactions on Machine Learning Research. 2025-December
Research output: Contribution to journal › Article › peer-review
Synthetic tabular data generation using a VAE-GAN architecture
Anshelevich, D. & Katz, G., 27 Sep 2025, In: Knowledge-Based Systems. 326, 113997.
Research output: Contribution to journal › Article › peer-review

Open Access
6 Scopus citations
Automated algorithm selection using meta-learning and pre-trained deep convolution neural networks
Dagan, I., Vainshtein, R., Katz, G. & Rokach, L., 1 May 2024, In: Information Fusion. 105, 102210.
Research output: Contribution to journal › Article › peer-review
10 Scopus citations
Cost effective transfer of reinforcement learning policies
Lavie, O., Shabtai, A. & Katz, G., 1 Mar 2024, In: Expert Systems with Applications. 237, 121380.
Research output: Contribution to journal › Article › peer-review
Dynamic selection of machine learning models for time-series data
Hananya, R. & Katz, G., 1 Apr 2024, In: Information Sciences. 665, 120360.
Research output: Contribution to journal › Article › peer-review
4 Scopus citations
Feedback Decision Transformer: Offline Reinforcement Learning With Feedback
Giladi, L. & Katz, G., 1 Jan 2023, Proceedings - 23rd IEEE International Conference on Data Mining, ICDM 2023. Chen, G., Khan, L., Gao, X., Qiu, M., Pedrycz, W. & Wu, X. (eds.). Institute of Electrical and Electronics Engineers, p. 1037-1042 6 p. (Proceedings - IEEE International Conference on Data Mining, ICDM).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
1 Scopus citations
GraphERT- Transformers-based Temporal Dynamic Graph Embedding
Beladev, M., Katz, G., Rokach, L., Singer, U. & Radinsky, K., 21 Oct 2023, CIKM 2023 - Proceedings of the 32nd ACM International Conference on Information and Knowledge Management. Association for Computing Machinery, p. 68-77 10 p. (International Conference on Information and Knowledge Management, Proceedings).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Open Access
15 Scopus citations
Automatic features generation and selection from external sources: A DBpedia use case
Harari, A. & Katz, G., 1 Jan 2022, In: Information Sciences. 582, p. 398-414 17 p.
Research output: Contribution to journal › Article › peer-review
9 Scopus citations
Cost-effective ensemble models selection using deep reinforcement learning
Birman, Y., Hindi, S., Katz, G. & Shabtai, A., 1 Jan 2022, In: Information Fusion. 77, p. 133-148 16 p.
Research output: Contribution to journal › Article › peer-review
24 Scopus citations
Few-Shot Tabular Data Enrichment Using Fine-Tuned Transformer Architectures
Harari, A. & Katz, G., 1 Jan 2022, ACL 2022 - 60th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference (Long Papers). Muresan, S., Nakov, P. & Villavicencio, A. (eds.). Association for Computational Linguistics (ACL), p. 1577-1591 15 p. (Proceedings of the Annual Meeting of the Association for Computational Linguistics; vol. 1).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Open Access
13 Scopus citations

Context-Based Text and Entity Analysis Using Machine Learning
Katz, G. (Author), Shapira, B. (Supervisor) & Elovici, Y. (Supervisor), 2015
Student thesis: Doctoral Thesis

New Data from Ben-Gurion University of the Negev Illuminate Findings in Machine Learning (Automated Algorithm Selection Using Meta-learning and Pre-trained Deep Convolution Neural Networks)
Rokach, L. & Katz, G.
23/09/24
1 item of Media coverage
Press/Media

Gilad Katz

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Collaborations and top research areas from the last five years

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Generative Proto-Sequence: Sequence-Level Decision Making for Long-Horizon Reinforcement Learning

Synthetic tabular data generation using a VAE-GAN architecture

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

Cost effective transfer of reinforcement learning policies

Dynamic selection of machine learning models for time-series data

Feedback Decision Transformer: Offline Reinforcement Learning With Feedback

GraphERT- Transformers-based Temporal Dynamic Graph Embedding

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

Cost-effective ensemble models selection using deep reinforcement learning

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

Context-Based Text and Entity Analysis Using Machine Learning

New Data from Ben-Gurion University of the Negev Illuminate Findings in Machine Learning (Automated Algorithm Selection Using Meta-learning and Pre-trained Deep Convolution Neural Networks)

Gilad Katz

Fingerprint

Collaborations and top research areas from the last five years

Research output

Thesis

Press/Media