Research output per year
Research output per year
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Dive into the research topics where Gilad Katz is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
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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
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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 -
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
4 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
7 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
1 Scopus citations -
Integrated prediction intervals and specific value predictions for regression problems using neural networks
Simhayev, E., Katz, G. & Rokach, L., 8 Jul 2022, In: Knowledge-Based Systems. 247, 108685.Research output: Contribution to journal › Article › peer-review
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JTrans: Jump-aware transformer for binary code similarity detection
Wang, H., Qu, W., Katz, G., Zhu, W., Gao, Z., Qiu, H., Zhuge, J. & Zhang, C., 18 Jul 2022, ISSTA 2022 - Proceedings of the 31st ACM SIGSOFT International Symposium on Software Testing and Analysis. Ryu, S. & Smaragdakis, Y. (eds.). Association for Computing Machinery, Inc, p. 1-13 13 p. (ISSTA 2022 - Proceedings of the 31st ACM SIGSOFT International Symposium on Software Testing and Analysis).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
18 Scopus citations -
Multi-objective pruning of dense neural networks using deep reinforcement learning
Hirsch, L. & Katz, G., 1 Sep 2022, In: Information Sciences. 610, p. 381-400 20 p.Research output: Contribution to journal › Article › peer-review
7 Scopus citations -
Q-Ball: Modeling Basketball Games Using Deep Reinforcement Learning
Yanai, C., Solomon, A., Katz, G., Shapira, B. & Rokach, L., 30 Jun 2022, AAAI-22 Technical Tracks 8. Association for the Advancement of Artificial Intelligence, p. 8806-8813 8 p. (Proceedings of the 36th AAAI Conference on Artificial Intelligence, AAAI 2022; vol. 36).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
1 Scopus citations -
ReCom: A deep reinforcement learning approach for semi-supervised tabular data labeling
Zaks, G. & Katz, G., 1 Apr 2022, In: Information Sciences. 589, p. 321-340 20 p.Research output: Contribution to journal › Article › peer-review
7 Scopus citations
Thesis
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Context-Based Text and Entity Analysis Using Machine Learning
Author: Katz, G., 2015Supervisor: Elovici, Y. (Supervisor) & Shapira, B. (Supervisor)
Student thesis: Doctoral Thesis