Research output per year
Research output per year
Personal profile
Research interests
Artificial Intelligence;
Anomaly Detection;
Model-Based Diagnosis;
Software Quality Assurance
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Dive into the research topics where Meir Kalech 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
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Automatic Feature Engineering for Learning Compact Decision Trees
Roshanski, I., Kalech, M. & Rokach, L., 1 Nov 2023, In: Expert Systems with Applications. 229, 120470.Research output: Contribution to journal › Article › peer-review
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Blame Attribution for Multi-Agent Pathfinding Execution Failures
Natan, A., Stern, R. & Kalech, M., 1 Jan 2023, In: Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS. 2023-May, p. 2358-2360 3 p.Research output: Contribution to journal › Conference article › peer-review
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Blame Attribution for Multi-Agent Pathfinding Execution Failures.
Natan, A., Stern, R. & Kalech, M., 23 May 2023, AAMAS 2023, May 29–June 2, 2023, London, United Kingdom. p. 2358-2360 3 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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CLEAN++: Code Smells Extraction for C++
Mashiach, T., Sotto-Mayor, B., Kaminka, G. & Kalech, M., 1 Jan 2023, Proceedings - 2023 IEEE/ACM 20th International Conference on Mining Software Repositories, MSR 2023. Institute of Electrical and Electronics Engineers, p. 441-445 5 p. (Proceedings - 2023 IEEE/ACM 20th International Conference on Mining Software Repositories, MSR 2023).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Distributed Spectrum-Based Fault Localization
Natan, A., Stern, R. & Kalech, M., 27 Jun 2023, AAAI-23 Technical Tracks 5. Williams, B., Chen, Y. & Neville, J. (eds.). AAAI press, p. 6491-6498 8 p. (Proceedings of the 37th AAAI Conference on Artificial Intelligence, AAAI 2023; vol. 37).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Issues-Driven features for software fault prediction
Elmishali, A. & Kalech, M., 1 Mar 2023, In: Information and Software Technology. 155, 107102.Research output: Contribution to journal › Article › peer-review
2 Scopus citations -
Active-learning-based reconstruction of circuit model
Rozenfeld, G., Kalech, M. & Rokach, L., 1 Mar 2022, In: Applied Intelligence. 52, 5, p. 5125-5143 19 p.Research output: Contribution to journal › Article › peer-review
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Exploring Design smells for smell-based defect prediction
Sotto-Mayor, B., Elmishali, A., Kalech, M. & Abreu, R., 1 Oct 2022, In: Engineering Applications of Artificial Intelligence. 115, 105240.Research output: Contribution to journal › Article › peer-review
3 Scopus citations -
Model-Based Diagnosis of Multi-Agent Systems: A Survey
Kalech, M. & Natan, A., 28 Jun 2022, AAAI. Association for the Advancement of Artificial Intelligence, Vol. 36. p. 12334-12341 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
2 Scopus citations -
Predictive maintenance for critical infrastructure
Gorenstein, A. & Kalech, M., 30 Dec 2022, In: Expert Systems with Applications. 210, 118413.Research output: Contribution to journal › Article › peer-review
3 Scopus citations
Datasets
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Tomma94/CLEAN-Plus-Plus: Review ready version
Mashiach, T. (Creator), Sotto-Mayor, B. (Creator), Kalech, M. (Creator) & Kaminka, G. (Creator), ZENODO, 26 Jan 2023
DOI: 10.5281/zenodo.7574528, https://zenodo.org/record/7574528
Dataset
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Exploring Design Smells for Smell-Based Defect Prediction
Sotto-Mayor, B. (Creator), Elmishali, A. (Creator), Kalech, M. (Creator) & Abreu, R. (Creator), ZENODO, 2020
DOI: 10.5281/zenodo.4110652, https://zenodo.org/record/4110652
Dataset
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Cross-Project Smell-Based Defect Prediction
Sotto-Mayor, B. (Creator) & Kalech, M. (Creator), ZENODO, 2021
DOI: 10.5281/zenodo.4697491, https://zenodo.org/record/4697491
Dataset
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Exploring Design Smells for Smell-Based Defect Prediction
Sotto-Mayor, B. (Creator), Elmishali, A. (Creator), Kalech, M. (Creator) & Abreu, R. (Creator), ZENODO, 2020
DOI: 10.5281/zenodo.4103861, https://zenodo.org/record/4103861
Dataset