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ORCIDMeir Kalech
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- affiliation: Ben-Gurion University of the Negev, Beer-Sheva, Israel
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2020 – today
- 2024
[j45]Bruno Sotto-Mayor
, Meir Kalech:
A Survey on Transfer Learning for Cross-Project Defect Prediction. IEEE Access 12: 93398-93425 (2024)- [j44]Michael Zaslavski, Meir Kalech:
Time series processing-based malicious activity detection in SCADA systems. Internet Things 28: 101355 (2024) - 2023
- [j43]Avraham Natan, Meir Kalech, Roman Barták:
Diagnosis of intermittent faults in Multi-Agent Systems: An SFL approach. Artif. Intell. 324: 103994 (2023) - [j42]Inbal Roshanski, Meir Kalech, Lior Rokach:
Automatic Feature Engineering for Learning Compact Decision Trees. Expert Syst. Appl. 229(Part A): 120470 (2023) - [j41]Amir Elmishali, Meir Kalech:
Issues-Driven features for software fault prediction. Inf. Softw. Technol. 155: 107102 (2023) - [c51]Avraham Natan, Roni Stern, Meir Kalech:
Distributed Spectrum-Based Fault Localization. AAAI 2023: 6491-6498 - [c50]Avraham Natan, Roni Stern, Meir Kalech:
Blame Attribution for Multi-Agent Pathfinding Execution Failures. AAMAS 2023: 2358-2360 - [c49]Tran Cao Son, William Yeoh, Roni Stern, Meir Kalech:
Multi-Agent Planning and Diagnosis with Commonsense Reasoning. DAI 2023: 5:1-5:9 - [c48]Avraham Natan, Roni Stern, Meir Kalech:
Blame Attribution for Multi-Agent Path Finding Execution Failures. ECAI 2023: 1763-1770 - [c47]Shaked Almog, Meir Kalech:
Diagnosis for Post Concept Drift Decision Trees Repair. KR 2023: 23-33 - [c46]Tom Mashiach, Bruno Sotto-Mayor, Gal A. Kaminka, Meir Kalech:
CLEAN++: Code Smells Extraction for C++. MSR 2023: 441-445 - 2022
- [j40]Gal Rozenfeld, Meir Kalech, Lior Rokach:
Active-learning-based reconstruction of circuit model. Appl. Intell. 52(5): 5125-5143 (2022) - [j39]Bruno Sotto-Mayor, Amir Elmishali, Meir Kalech, Rui Abreu:
Exploring Design smells for smell-based defect prediction. Eng. Appl. Artif. Intell. 115: 105240 (2022) - [j38]Avraham Natan, Meir Kalech:
Privacy-aware Distributed Diagnosis of Multi-Agent Plans. Expert Syst. Appl. 192: 116313 (2022) - [j37]Ariel Gorenstein, Meir Kalech:
Predictive maintenance for critical infrastructure. Expert Syst. Appl. 210: 118413 (2022) - [c45]Meir Kalech, Avraham Natan:
Model-Based Diagnosis of Multi-Agent Systems: A Survey. AAAI 2022: 12334-12341 - 2021
- [b1]Meir Kalech, Rui Abreu, Mark Last:
Artificial Intelligence Methods for Software Engineering. WorldScientific 2021, ISBN 9789811239915, pp. 1-456 - [j36]Amit Shlomo, Meir Kalech, Robert Moskovitch:
Temporal pattern-based malicious activity detection in SCADA systems. Comput. Secur. 102: 102153 (2021) - [j35]Dean Cazes, Meir Kalech:
Model-based diagnosis with uncertain observations. Int. J. Intell. Syst. 36(7): 3259-3292 (2021) - [j34]Bruno Sotto-Mayor, Meir Kalech:
Cross-project smell-based defect prediction. Soft Comput. 25(22): 14171-14181 (2021) - [c44]Yotam Shichel, Meir Kalech, Oren Tsur:
With Measured Words: Simple Sentence Selection for Black-Box Optimization of Sentence Compression Algorithms. EACL 2021: 1625-1634 - [c43]Amir Elmishali, Bruno Sotto-Mayor, Inbal Roshanski, Amit Sultan, Meir Kalech:
BEIRUT: Repository Mining for Defect Prediction. ISSRE 2021: 47-56 - [c42]Michal Nekvinda, Roman Barták, Meir Kalech:
Contingent Planning for Robust Multi-Agent Path Finding. SOCS 2021: 185-187 - [i4]Yotam Shichel, Meir Kalech, Oren Tsur:
With Measured Words: Simple Sentence Selection for Black-Box Optimization of Sentence Compression Algorithms. CoRR abs/2101.10096 (2021) - 2020
- [j33]Shulamit Reches, Meir Kalech:
Decision making with dynamic uncertain continuous information. Expert Syst. Appl. 159: 113586 (2020) - [j32]Amir Elmishali, Roni Stern, Meir Kalech:
Diagnosing Software System Exploits. IEEE Intell. Syst. 35(6): 7-15 (2020) - [j31]Ido Tam, Meir Kalech, Lior Rokach, Eyal Madar, Jacob Bortman, Renata Klein:
Probability-Based Algorithm for Bearing Diagnosis with Untrained Spall Sizes. Sensors 20(5): 1298 (2020) - [c41]Dean Cazes, Meir Kalech:
Model-Based Diagnosis with Uncertain Observations. AAAI 2020: 2766-2773 - [c40]Meir Kalech, Roni Stern:
AI for Software Quality Assurance Blue Sky Ideas Talk. AAAI 2020: 13529-13533 - [c39]Eliahu Khalastchi, Meir Kalech:
Efficient Hybrid Fault Detection for Autonomous Robots. AAMAS 2020: 1884-1886 - [d3]Bruno Sotto-Mayor, Amir Elmishali, Meir Kalech, Rui Abreu:
Exploring Designite for Smell-Based Defect Prediction. Zenodo, 2020
- [d2]Bruno Sotto-Mayor, Amir Elmishali, Meir Kalech, Rui Abreu:
Exploring Design Smells for Smell-Based Defect Prediction. Zenodo, 2020 - [d1]Bruno Sotto-Mayor, Amir Elmishali, Meir Kalech, Rui Abreu:
Exploring Design Smells for Smell-Based Defect Prediction. Zenodo, 2020 - [i3]Noam Moscovich, Ron Bitton, Yakov Mallah, Masaki Inokuchi, Tomohiko Yagyu, Meir Kalech, Yuval Elovici, Asaf Shabtai:
Autosploit: A Fully Automated Framework for Evaluating the Exploitability of Security Vulnerabilities. CoRR abs/2007.00059 (2020)
2010 – 2019
- 2019
- [j30]Reuth Mirsky, Roni Stern, Kobi Gal, Meir Kalech:
Corrigendum to "Sequential plan recognition: An iterative approach to disambiguating between hypotheses" [Artif. Intell. 260 (2018) 51-73]. Artif. Intell. 275: 234 (2019) - [j29]Meir Kalech:
Cyber-attack detection in SCADA systems using temporal pattern recognition techniques. Comput. Secur. 84: 225-238 (2019) - [j28]Eliahu Khalastchi, Meir Kalech:
Fault Detection and Diagnosis in Multi-Robot Systems: A Survey. Sensors 19(18): 4019 (2019) - [j27]Reuth Mirsky, Kobi Gal, Roni Stern, Meir Kalech:
Goal and Plan Recognition Design for Plan Libraries. ACM Trans. Intell. Syst. Technol. 10(2): 14:1-14:23 (2019) - [c38]Amir Elmishali, Roni Stern, Meir Kalech:
DeBGUer: A Tool for Bug Prediction and Diagnosis. AAAI 2019: 9446-9451 - [c37]Meir Kalech, Amit Shlomo, Robert Moskovitch:
Temporal Pattern-Based Malicious Activity Detection in SCADA Systems (Brief Announcement). CSCML 2019: 316-319 - [i2]Lihi Dery, Svetlana Obraztsova, Zinovi Rabinovich, Meir Kalech:
Lie on the Fly: Strategic Voting in an Iterative Preference Elicitation Process. CoRR abs/1905.04933 (2019) - 2018
- [j26]Reuth Mirsky, Roni Stern, Kobi Gal, Meir Kalech:
Sequential plan recognition: An iterative approach to disambiguating between hypotheses. Artif. Intell. 260: 51-73 (2018) - [j25]Eliahu Khalastchi, Meir Kalech:
A sensor-based approach for fault detection and diagnosis for robotic systems. Auton. Robots 42(6): 1231-1248 (2018) - [j24]Eliahu Khalastchi, Meir Kalech:
On Fault Detection and Diagnosis in Robotic Systems. ACM Comput. Surv. 51(1): 9:1-9:24 (2018) - [j23]Amir Elmishali, Roni Stern, Meir Kalech:
An Artificial Intelligence paradigm for troubleshooting software bugs. Eng. Appl. Artif. Intell. 69: 147-156 (2018) - [j22]David Biton, Meir Kalech, Lior Rokach:
FSCOAL - Parallel simultaneous fuzzy co-clustering and learning. Int. J. Intell. Syst. 33(7): 1364-1380 (2018) - [j21]Orel Elimelech, Roni Stern, Meir Kalech:
Structural abstraction for model-based diagnosis with a strong fault model. Knowl. Based Syst. 161: 357-374 (2018) - 2017
- [j20]Roni Stern, Meir Kalech, Shelly Rogov, Alexander Feldman:
How many diagnoses do we need? Artif. Intell. 248: 26-45 (2017) - [j19]Orel Elimelech, Roni Stern, Meir Kalech, Yedidya Bar-Zev:
Diagnosing resource usage failures in multi-agent systems. Expert Syst. Appl. 77: 44-56 (2017) - [j18]Eliahu Khalastchi, Meir Kalech, Lior Rokach:
A hybrid approach for improving unsupervised fault detection for robotic systems. Expert Syst. Appl. 81: 372-383 (2017) - [c36]Reuth Mirsky, Roni Stern, Ya'akov (Kobi) Gal, Meir Kalech:
Plan Recognition Design. AAAI 2017: 4971-4972 - [c35]Reuth Mirsky, Roni Stern, Ya'akov Gal, Meir Kalech:
Plan Recognition Design. AAAI Workshops 2017 - [i1]Reuth Mirsky, Roni Stern, Ya'akov Gal, Meir Kalech:
Sequential Plan Recognition. CoRR abs/1703.01083 (2017) - 2016
- [j17]Lihi Naamani Dery, Meir Kalech, Lior Rokach, Bracha Shapira:
Reducing preference elicitation in group decision making. Expert Syst. Appl. 61: 246-261 (2016) - [c34]Roni Stern, Meir Kalech, Hilla Shinitzky:
Implementing Troubleshooting with Batch Repair. AAAI 2016: 769-775 - [c33]Amir Elmishali, Roni Stern, Meir Kalech:
Data-Augmented Software Diagnosis. AAAI 2016: 4003-4009 - [c32]Reuth Mirsky, Ya'akov (Kobi) Gal, Roni Stern, Meir Kalech:
Sequential Plan Recognition: (Extended Abstract). AAMAS 2016: 1347-1348 - [c31]Reuth Mirsky, Roni Stern, Ya'akov (Kobi) Gal, Meir Kalech:
Sequential Plan Recognition. IJCAI 2016: 401-407 - [c30]Netantel Hasidi, Roni Stern, Meir Kalech, Shulamit Reches:
Anticipatory Troubleshooting. IJCAI 2016: 3133-3139 - [c29]Hilla Shinitzky, Roni Tzvi Stern, Meir Kalech:
Batch Repair with Heuristic Search. SOCS 2016: 141-142 - 2015
- [j16]Meir Kalech, Shulamit Reches:
Decision Making with Dynamic Uncertain Events. J. Artif. Intell. Res. 54: 233-275 (2015) - [j15]Eliahu Khalastchi, Meir Kalech, Gal A. Kaminka, Raz Lin:
Online data-driven anomaly detection in autonomous robots. Knowl. Inf. Syst. 43(3): 657-688 (2015) - [c28]Roni Tzvi Stern, Meir Kalech, Shelly Rogov, Alexander Feldman:
How Many Diagnoses Do We Need? AAAI 2015: 1618-1624 - [c27]Lihi Naamani Dery, Svetlana Obraztsova, Zinovi Rabinovich, Meir Kalech:
Lie on the Fly: Iterative Voting Center with Manipulative Voters. IJCAI 2015: 2033-2039 - [c26]Roni Stern, Meir Kalech, Hilla Shinitzky:
Implementing Troubleshooting with Batch Repair. DX 2015: 113-118 - [c25]Amir Elmishali, Roni Stern, Meir Kalech:
Data-Augmented Software Diagnosis. DX 2015: 247-252 - 2014
- [j14]Roni Stern, Meir Kalech:
Model-based diagnosis techniques for Internet delay diagnosis with dynamic routing. Appl. Intell. 41(1): 167-183 (2014) - [j13]Lihi Naamani Dery, Meir Kalech, Lior Rokach, Bracha Shapira:
Reaching a joint decision with minimal elicitation of voter preferences. Inf. Sci. 278: 466-487 (2014) - [j12]Amit Metodi, Roni Stern, Meir Kalech, Michael Codish:
A Novel SAT-Based Approach to Model Based Diagnosis. J. Artif. Intell. Res. 51: 377-411 (2014) - [j11]Shulamit Reches, Meir Kalech, Philip Hendrix:
A Framework for Effectively Choosing between Alternative Candidate Partners. ACM Trans. Intell. Syst. Technol. 5(2): 30:1-30:28 (2014) - [j10]Shulamit Reches, Meir Kalech:
Choosing a Candidate Using Efficient Allocation of Biased Information. ACM Trans. Intell. Syst. Technol. 5(4): 66:1-66:30 (2014) - [j9]Ayelet Eyal, Lior Rokach, Meir Kalech, Ofra Amir, Rahul Chougule, Rajkumar Vaidyanathan, Kallappa Pattada:
Survival Analysis of Automobile Components Using Mutually Exclusive Forests. IEEE Trans. Syst. Man Cybern. Syst. 44(2): 246-253 (2014) - [c24]Tom Zamir, Roni Tzvi Stern, Meir Kalech:
Using Model-Based Diagnosis to Improve Software Testing. AAAI 2014: 1135-1141 - [c23]Eliahu Khalastchi, Meir Kalech, Lior Rokach:
A hybrid approach for fault detection in autonomous physical agents. AAMAS 2014: 941-948 - [c22]Yedidya Bar-Zev, Roni Stern, Meir Kalech:
Diagnosing faults in a temporal multi-agent resource allocation: (extended abstract). AAMAS 2014: 1513-1514 - [c21]Lihi Naamani Dery, Inon Golan, Meir Kalech, Lior Rokach:
Preference Elicitation for Group Decisions. GDN 2014: 193-200 - [c20]Lihi Naamani Dery, Meir Kalech, Lior Rokach, Bracha Shapira:
Preference elicitation for narrowing the recommended list for groups. RecSys 2014: 333-336 - 2013
- [c19]Eliahu Khalastchi, Meir Kalech, Lior Rokach:
Sensor fault detection and diagnosis for autonomous systems. AAMAS 2013: 15-22 - [c18]Lior Rokach, Meir Kalech, Gregory M. Provan, Alexander Feldman:
Machine-Learning-Based Circuit Synthesis. IJCAI 2013: 1635-1641 - 2012
- [j8]Meir Kalech:
Diagnosis of coordination failures: a matrix-based approach. Auton. Agents Multi Agent Syst. 24(1): 69-103 (2012) - [j7]Roni Stern, Meir Kalech, Ariel Felner:
Finding patterns in an unknown graph. AI Commun. 25(3): 229-256 (2012) - [c17]Amit Metodi, Roni Stern, Meir Kalech, Michael Codish:
Compiling Model-Based Diagnosis to Boolean Satisfaction. AAAI 2012: 793-799 - [c16]Roni Tzvi Stern, Meir Kalech, Alexander Feldman, Gregory M. Provan:
Exploring the Duality in Conflict-Directed Model-Based Diagnosis. AAAI 2012: 828-834 - 2011
- [j6]Meir Kalech, Sarit Kraus, Gal A. Kaminka, Claudia V. Goldman:
Practical voting rules with partial information. Auton. Agents Multi Agent Syst. 22(1): 151-182 (2011) - [j5]Meir Kalech, Gal A. Kaminka:
Coordination Diagnostic Algorithms for Teams of Situated Agents: Scaling up. Comput. Intell. 27(3): 393-421 (2011) - [j4]Lior Rokach, Meir Kalech, Ido Blank, Rami Stern:
Who is going to win the next Association for the Advancement of Artificial Intelligence Fellowship Award? Evaluating researchers by mining bibliographic data. J. Assoc. Inf. Sci. Technol. 62(12): 2456-2470 (2011) - [c15]Shulamit Reches, Meir Kalech, Rami Stern:
When to Stop? That Is the Question. AAAI 2011: 1063-1068 - [c14]Eliahu Khalastchi, Gal A. Kaminka, Meir Kalech, Raz Lin:
Online anomaly detection in unmanned vehicles. AAMAS 2011: 115-122 - 2010
- [c13]Meir Kalech, Avi Pfeffer:
Decision making with dynamically arriving information. AAMAS 2010: 267-274 - [c12]Asaf Shiloni, Alon Levy, Ariel Felner, Meir Kalech:
Ants meeting algorithms. AAMAS 2010: 567-574 - [c11]Roni Stern, Meir Kalech, Ariel Felner:
Searching for a k-clique in unknown graphs. AAMAS 2010: 1391-1392 - [c10]Lihi Naamani Dery, Meir Kalech, Lior Rokach, Bracha Shapira:
Iterative voting under uncertainty for group recommender systems. RecSys 2010: 265-268 - [c9]Roni Tzvi Stern, Meir Kalech, Ariel Felner:
Searching for a k-Clique in Unknown Graphs. SOCS 2010: 83-89
2000 – 2009
- 2009
- [j3]Michael Lindner, Meir Kalech, Gal A. Kaminka:
A representation for coordination fault detection in large-scale multi-agent systems. Ann. Math. Artif. Intell. 56(2): 153-186 (2009) - [j2]Meir Kalech:
Diagnosing Coordination Faults in Multi-Agent Systems. Knowl. Eng. Rev. 24(4): 411-412 (2009) - 2007
- [j1]Meir Kalech, Gal A. Kaminka:
On the design of coordination diagnosis algorithms for teams of situated agents. Artif. Intell. 171(8-9): 491-513 (2007) - [c8]Meir Kalech, Michael Lindner, Gal A. Kaminka:
Matrix-based representation for coordination fault detection: a formal approach. AAMAS 2007: 118 - [c7]Meir Kalech, Michael Lindner, Gal A. Kaminka:
Matrix-based representation for coordination fault detection: a formal approach. AAMAS 2007: 162 - 2006
- [c6]Meir Kalech, Gal A. Kaminka, Amnon Meisels, Yehuda Elmaliach:
Diagnosis of Multi-Robot Coordination Failures Using Distributed CSP Algorithms. AAAI 2006: 970-975 - 2005
- [c5]Meir Kalech, Gal A. Kaminka:
Towards Model-Based Diagnosis of Coordination Failures. AAAI 2005: 102-107 - [c4]Meir Kalech, Gal A. Kaminka:
Diagnosing a team of agents: scaling-up. AAMAS 2005: 249-255 - [c3]Meir Kalech, Gal A. Kaminka:
Model-based diagnosis of multi-agent systems. AAMAS 2005: 1379 - 2004
- [c2]Meir Kalech, Gal A. Kaminka:
Diagnosing a Team of Agents: Scaling-Up. AAMAS 2004: 1474-1475 - 2003
- [c1]Meir Kalech, Gal A. Kaminka:
On the Design of Social Diagnosis Algorithms for Multi-Agent Teams. IJCAI 2003: 370-375
Coauthor Index
Roni Stern
aka: Roni Tzvi Stern
aka: Roni Tzvi Stern
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last updated on 2024-10-23 21:27 CEST by the dblp team
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