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Segev Wasserkrug
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2020 – today
- 2024
- [i6]Segev Wasserkrug, Léonard Boussioux, Dick den Hertog, Farzaneh Mirzazadeh, S. Ilker Birbil, Jannis Kurtz, Donato Maragno:
From Large Language Models and Optimization to Decision Optimization CoPilot: A Research Manifesto. CoRR abs/2402.16269 (2024) - 2023
- [c20]Nicolò Cesa-Bianchi, Tommaso Cesari, Takayuki Osogami, Marco Scarsini, Segev Wasserkrug:
Learning the Stackelberg Equilibrium in a Newsvendor Game. AAMAS 2023: 242-250 - [c19]Takayuki Osogami, Segev Wasserkrug, Elisheva S. Shamash:
Learning Efficient Truthful Mechanisms for Trading Networks. IJCAI 2023: 2862-2869 - [i5]Segev Wasserkrug, Takayuki Osogami:
Who Benefits from a Multi-Cloud Market? A Trading Networks Based Analysis. CoRR abs/2310.12666 (2023) - 2022
- [j12]Alexander Zadorojniy, Adam Shwartz, Segev Wasserkrug, Sergey Zeltyn:
Operational optimization of wastewater treatment plants: a CMDP based decomposition approach. Ann. Oper. Res. 317(1): 313-330 (2022) - [c18]Orit Davidovich, Gheorghe-Teodor Bercea, Segev Wasserkrug:
The Good, the Bad, and the Outliers: A Testing Framework for Decision Optimization Model Learning. KDD 2022: 2811-2821 - [i4]Nicolò Cesa-Bianchi, Tommaso Cesari, Takayuki Osogami, Marco Scarsini, Segev Wasserkrug:
Online Learning in Supply-Chain Games. CoRR abs/2207.04054 (2022) - [i3]Takayuki Osogami, Segev Wasserkrug, Elisheva S. Shamash:
Mechanism Learning for Trading Networks. CoRR abs/2208.09222 (2022) - 2021
- [c17]Segev Wasserkrug, Radu Marinescu, Sergey Zeltyn, Evgeny Shindin, Yishai A. Feldman:
Learning the Parameters of Bayesian Networks from Uncertain Data. AAAI 2021: 12190-12197 - 2020
- [i2]Segev Wasserkrug, Eitan Israeli:
A Game Theoretic Model for Strategic Coopetition in Business Networks. CoRR abs/2011.13300 (2020)
2010 – 2019
- 2019
- [j11]Alexander Zadorojniy, Segev Wasserkrug, Sergey Zeltyn, Vladimir Lipets:
Unleashing Analytics to Reduce Costs and Improve Quality in Wastewater Treatment. INFORMS J. Appl. Anal. 49(4): 262-268 (2019) - [j10]Segev Wasserkrug, Martin Krüger, Yishai A. Feldman, Evgeny Shindin, Sergey Zeltyn:
What's Wrong with My Dishwasher: Advanced Analytics Improve the Diagnostic Process for Miele Technicians. INFORMS J. Appl. Anal. 49(5): 384-396 (2019) - 2018
- [r4]Segev Wasserkrug:
Event Prediction. Encyclopedia of Database Systems (2nd ed.) 2018 - [r3]Segev Wasserkrug:
Uncertainty in Events. Encyclopedia of Database Systems (2nd ed.) 2018 - 2017
- [j9]Alexander Zadorojniy, Segev Wasserkrug, Sergey Zeltyn, Vladimir Lipets:
IBM Cognitive Technology Helps Aqualia to Reduce Costs and Save Resources in Wastewater Treatment. Interfaces 47(5): 411-424 (2017) - 2014
- [j8]Segev Wasserkrug, Alexey Tsitkin, Alexander Zadorojniy:
Relieving Pressure: Optimizing Water Distribution Pressure Management at Valley of the Moon Water District. Interfaces 44(5): 509-524 (2014) - 2012
- [j7]Segev Wasserkrug, Avigdor Gal, Opher Etzion, Yulia Turchin:
Efficient Processing of Uncertain Events in Rule-Based Systems. IEEE Trans. Knowl. Data Eng. 24(1): 45-58 (2012) - [i1]Segev Wasserkrug, Avigdor Gal, Opher Etzion:
A Model for Reasoning with Uncertain Rules in Event Composition Systems. CoRR abs/1207.1427 (2012) - 2011
- [j6]Arun Hampapur, H. Cao, Andrew J. Davenport, W. S. Dong, Don Fenhagen, Rogério Schmidt Feris, Germán S. Goldszmidt, Z. B. Jiang, Jayant Kalagnanam, Tarun Kumar, H. Li, Xuan Liu, Shilpa Mahatma, Sharath Pankanti, D. Pelleg, W. Sun, M. Taylor, Chunhua Tian, Segev Wasserkrug, Lexing Xie, Mujib Lodhi, C. Kiely, K. Butturff, L. Desjardins:
Analytics-driven asset management. IBM J. Res. Dev. 55(1): 13 (2011) - [j5]Sergey Zeltyn, Yariv N. Marmor, Avishai Mandelbaum, Boaz Carmeli, Ohad Greenshpan, Yossi Mesika, Segev Wasserkrug, Pnina Vortman, Avraham Shtub, Tirza Lauterman, Dagan Schwartz, Kobi Moskovitch, Sara Tzafrir, Fuad Basis:
Simulation-based models of emergency departments: : Operational, tactical, and strategic staffing. ACM Trans. Model. Comput. Simul. 21(4): 24:1-24:25 (2011) - [c16]Sergey Zeltyn, Peri L. Tarr, Murray Cantor, Robert Delmonico, Sateesh Kannegala, Mila Keren, Ashok Pon Kumar, Segev Wasserkrug:
Improving efficiency in software maintenance. MSR 2011: 215-218 - 2010
- [j4]Donghai He, Loo Hay Lee, Chun-Hung Chen, Michael C. Fu, Segev Wasserkrug:
Simulation optimization using the cross-entropy method with optimal computing budget allocation. ACM Trans. Model. Comput. Simul. 20(1): 4:1-4:22 (2010)
2000 – 2009
- 2009
- [j3]Sergey Zeltyn, Zohar Feldman, Segev Wasserkrug:
Waiting and sojourn times in a multi-server queue with mixed priorities. Queueing Syst. Theory Appl. 61(4): 305-328 (2009) - [c15]Yulia Turchin, Avigdor Gal, Segev Wasserkrug:
Tuning complex event processing rules using the prediction-correction paradigm. DEBS 2009 - [c14]Segev Wasserkrug, Ohad Greenshpan, Yariv N. Marmor, Boaz Carmeli, Pnina Vortman, Fuad Basis, Dagan Schwartz, Avishai Mandelbaum:
InEDvance: Advanced IT in Support of Emergency Department Management. NGITS 2009: 86-95 - [c13]Yariv N. Marmor, Segev Wasserkrug, Sergey Zeltyn, Yossi Mesika, Ohad Greenshpan, Boaz Carmeli, Avraham Shtub, Avishai Mandelbaum:
Toward Simulation-based Real-time Decision-support Systems for Emergency Departments. WSC 2009: 2042-2053 - [r2]Segev Wasserkrug:
Event Prediction. Encyclopedia of Database Systems 2009: 1048-1052 - [r1]Segev Wasserkrug:
Uncertainty in Events. Encyclopedia of Database Systems 2009: 3221-3225 - 2008
- [j2]Segev Wasserkrug, Avigdor Gal, Opher Etzion:
Inference of Security Hazards from Event Composition Based on Incomplete or Uncertain Information. IEEE Trans. Knowl. Data Eng. 20(8): 1111-1114 (2008) - [c12]Segev Wasserkrug, Avigdor Gal, Opher Etzion, Yulia Turchin:
Complex event processing over uncertain data. DEBS 2008: 253-264 - [c11]Segev Wasserkrug, Avigdor Gal, Yulia Turchin, Opher Etzion:
Efficient uncertainty management in complex event systems: saving the witch from Henzel & Gretel. DEBS 2008: 305-308 - 2007
- [c10]Amit Fisher, Fabiana Fournier, Dagan Gilat, Guy Rackham, Natalia Razinkov, Segev Wasserkrug:
Calculating the Business Importance of Entities in a Service-Oriented Enterprise. IEEE SCC 2007: 717-718 - [c9]Steven E. Naron, Segev Wasserkrug:
Utilizing model characteristics to obtain efficient parallelization in the context of agent based epidemiological models. WSC 2007: 1555-1561 - 2006
- [c8]Segev Wasserkrug, Avigdor Gal, Opher Etzion:
A Taxonomy and Representation of Sources of Uncertainty in Active Systems. NGITS 2006: 174-185 - 2005
- [j1]Opher Etzion, Amit Fisher, Segev Wasserkrug:
e-CLV: A Modeling Approach for Customer Lifetime Evaluation in e-Commerce Domains, with an Application and Case Study for Online Auction. Inf. Syst. Frontiers 7(4-5): 421-434 (2005) - [c7]Segev Wasserkrug, Avigdor Gal, Opher Etzion:
Handling Uncertain Rules in Composite Event Systems. FLAIRS 2005: 860-861 - [c6]Segev Wasserkrug, Avigdor Gal, Opher Etzion:
A Model for Reasoning with Uncertain Rules in Event Composition Systems. UAI 2005: 599-608 - 2004
- [c5]Opher Etzion, Amit Fisher, Segev Wasserkrug:
e-CLV: A Modeling Approach for Customer Lifetime Evaluation in e-Commerce Domains, with an Application and Case Study for Online Auctions. EEE 2004: 149-156 - [c4]Sarel Aiber, Dagan Gilat, Ariel Landau, Natalia Razinkov, Aviad Sela, Segev Wasserkrug:
Autonomic Self-Optimization According to Business Objectives. ICAC 2004: 206-213 - [c3]Ariel Landau, Segev Wasserkrug, Dagan Gilat, Natalia Razinkov, Aviad Sela, Sarel Aiber:
A Methodological Framework for Business-Oriented Modeling of IT Infrastructure. WSC 2004: 474-482 - [c2]Sarel Aiber, Dagan Gilat, Ariel Landau, Natalia Razinkov, Aviad Sela, Segev Wasserkrug:
Business objective based resource management. WWW (Alternate Track Papers & Posters) 2004: 236-237 - 2003
- [c1]Segev Wasserkrug:
Inference and Prediction of Uncertain Events in Active Systems: A Language and Execution Model. VLDB PhD Workshop 2003
Coauthor Index
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last updated on 2024-04-24 22:48 CEST by the dblp team
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