Inference and Prediction of Uncertain Events in Active Systems: A Language and Execution Model. - Segev Wasserkrug (VLDB PhD Workshop, 2003)

e-CLV: A Modeling Approach for Customer Lifetime Evaluation in e-Commerce Domains, with an Application and Case Study for Online Auctions. - Opher Etzion; Amit Fisher; Segev Wasserkrug (EEE, 2004)

Autonomic Self-Optimization According to Business Objectives. - Sarel Aiber; Dagan Gilat; Ariel Landau; Natalia Razinkov; Aviad Sela; Segev Wasserkrug (ICAC, 2004)

A Methodological Framework for Business-Oriented Modeling of IT Infrastructure. - Ariel Landau; Segev Wasserkrug; Dagan Gilat; Natalia Razinkov; Aviad Sela; Sarel Aiber (WSC, 2004)

Business objective based resource management. - Sarel Aiber; Dagan Gilat; Ariel Landau; Natalia Razinkov; Aviad Sela; Segev Wasserkrug (WWW (Alternate Track Papers & Posters), 2004)

Handling Uncertain Rules in Composite Event Systems. - Segev Wasserkrug; Avigdor Gal; Opher Etzion (FLAIRS, 2005)

A Model for Reasoning with Uncertain Rules in Event Composition Systems. - Segev Wasserkrug; Avigdor Gal; Opher Etzion (UAI, 2005)

e-CLV: A Modeling Approach for Customer Lifetime Evaluation in e-Commerce Domains, with an Application and Case Study for Online Auction. - Opher Etzion; Amit Fisher; Segev Wasserkrug (Inf. Syst. Frontiers, 2005)

A Taxonomy and Representation of Sources of Uncertainty in Active Systems. - Segev Wasserkrug; Avigdor Gal; Opher Etzion (NGITS, 2006)

Calculating the Business Importance of Entities in a Service-Oriented Enterprise. - Amit Fisher; Fabiana Fournier; Dagan Gilat; Guy Rackham; Natalia Razinkov; Segev Wasserkrug (IEEE SCC, 2007)

Utilizing model characteristics to obtain efficient parallelization in the context of agent based epidemiological models. - Steven E. Naron; Segev Wasserkrug (WSC, 2007)

Complex event processing over uncertain data. - Segev Wasserkrug; Avigdor Gal; Opher Etzion; Yulia Turchin (DEBS, 2008)

Efficient uncertainty management in complex event systems: saving the witch from Henzel & Gretel. - Segev Wasserkrug; Avigdor Gal; Yulia Turchin; Opher Etzion (DEBS, 2008)

Inference of Security Hazards from Event Composition Based on Incomplete or Uncertain Information. - Segev Wasserkrug; Avigdor Gal; Opher Etzion (IEEE Trans. Knowl. Data Eng., 2008)

Tuning complex event processing rules using the prediction-correction paradigm. - Yulia Turchin; Avigdor Gal; Segev Wasserkrug (DEBS, 2009)

InEDvance: Advanced IT in Support of Emergency Department Management. - Segev Wasserkrug; Ohad Greenshpan; Yariv N. Marmor; Boaz Carmeli; Pnina Vortman; Fuad Basis; Dagan Schwartz; Avishai Mandelbaum (NGITS, 2009)

Toward Simulation-based Real-time Decision-support Systems for Emergency Departments. - Yariv N. Marmor; Segev Wasserkrug; Sergey Zeltyn; Yossi Mesika; Ohad Greenshpan; Boaz Carmeli; Avraham Shtub; Avishai Mandelbaum (WSC, 2009)

Waiting and sojourn times in a multi-server queue with mixed priorities. - Sergey Zeltyn; Zohar Feldman; Segev Wasserkrug (Queueing Syst. Theory Appl., 2009)

Event Prediction. - Segev Wasserkrug (Encyclopedia of Database Systems, 2009)

Uncertainty in Events. - Segev Wasserkrug (Encyclopedia of Database Systems, 2009)

Simulation optimization using the cross-entropy method with optimal computing budget allocation. - Donghai He; Loo Hay Lee; Chun-Hung Chen; Michael C. Fu 001; Segev Wasserkrug (ACM Trans. Model. Comput. Simul., 2010)

Improving efficiency in software maintenance. - Sergey Zeltyn; Peri L. Tarr; Murray Cantor; Robert Delmonico; Sateesh Kannegala; Mila Keren; Ashok Pon Kumar; Segev Wasserkrug (MSR, 2011)

Analytics-driven asset management. - 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; et al. (IBM J. Res. Dev., 2011)

Simulation-based models of emergency departments: : Operational, tactical, and strategic staffing. - 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; et al. (ACM Trans. Model. Comput. Simul., 2011)

Efficient Processing of Uncertain Events in Rule-Based Systems. - Segev Wasserkrug; Avigdor Gal; Opher Etzion; Yulia Turchin (IEEE Trans. Knowl. Data Eng., 2012)

Relieving Pressure: Optimizing Water Distribution Pressure Management at Valley of the Moon Water District. - Segev Wasserkrug; Alexey Tsitkin; Alexander Zadorojniy (Interfaces, 2014)

IBM Cognitive Technology Helps Aqualia to Reduce Costs and Save Resources in Wastewater Treatment. - Alexander Zadorojniy; Segev Wasserkrug; Sergey Zeltyn; Vladimir Lipets (Interfaces, 2017)

Event Prediction. - Segev Wasserkrug (Encyclopedia of Database Systems (2nd ed.), 2018)

Uncertainty in Events. - Segev Wasserkrug (Encyclopedia of Database Systems (2nd ed.), 2018)

What's Wrong with My Dishwasher: Advanced Analytics Improve the Diagnostic Process for Miele Technicians. - Segev Wasserkrug; Martin Krüger; Yishai A. Feldman; Evgeny Shindin; Sergey Zeltyn (INFORMS J. Appl. Anal., 2019)

Unleashing Analytics to Reduce Costs and Improve Quality in Wastewater Treatment. - Alexander Zadorojniy; Segev Wasserkrug; Sergey Zeltyn; Vladimir Lipets (INFORMS J. Appl. Anal., 2019)

A Game Theoretic Model for Strategic Coopetition in Business Networks. - Segev Wasserkrug; Eitan Israeli (CoRR, 2020)

Learning the Parameters of Bayesian Networks from Uncertain Data. - Segev Wasserkrug; Radu Marinescu 002; Sergey Zeltyn; Evgeny Shindin; Yishai A. Feldman (AAAI, 2021)

The Good, the Bad, and the Outliers: A Testing Framework for Decision Optimization Model Learning. - Orit Davidovich; Gheorghe-Teodor Bercea; Segev Wasserkrug (KDD, 2022)

Operational optimization of wastewater treatment plants: a CMDP based decomposition approach. - Alexander Zadorojniy; Adam Shwartz; Segev Wasserkrug; Sergey Zeltyn (Ann. Oper. Res., 2022)

Online Learning in Supply-Chain Games. - Nicolò Cesa-Bianchi; Tommaso Cesari; Takayuki Osogami; Marco Scarsini; Segev Wasserkrug (CoRR, 2022)

Mechanism Learning for Trading Networks. - Takayuki Osogami; Segev Wasserkrug; Elisheva S. Shamash (CoRR, 2022)

Learning the Stackelberg Equilibrium in a Newsvendor Game. - Nicolò Cesa-Bianchi; Tommaso Cesari; Takayuki Osogami; Marco Scarsini; Segev Wasserkrug (AAMAS, 2023)

Learning Efficient Truthful Mechanisms for Trading Networks. - Takayuki Osogami; Segev Wasserkrug; Elisheva S. Shamash (IJCAI, 2023)

Who Benefits from a Multi-Cloud Market? A Trading Networks Based Analysis. - Segev Wasserkrug; Takayuki Osogami (CoRR, 2023)

From Large Language Models and Optimization to Decision Optimization CoPilot: A Research Manifesto. - Segev Wasserkrug; Léonard Boussioux; Dick den Hertog; Farzaneh Mirzazadeh; S. Ilker Birbil; Jannis Kurtz; Donato Maragno (CoRR, 2024)

Mechanism design with multi-armed bandit. - Takayuki Osogami; Hirota Kinoshita; Segev Wasserkrug (CoRR, 2024)

Enhancing Decision Making Through the Integration of Large Language Models and Operations Research Optimization. - Segev Wasserkrug; Léonard Boussioux; Dick den Hertog; Farzaneh Mirzazadeh; S. Ilker Birbil; Jannis Kurtz; Donato Maragno (AAAI, 2025)

Making a Case for Research Collaboration Between Artificial Intelligence and Operations Research Experts. - Radhika Kulkarni; Gianluca Brero; Yu Ding; Swati Gupta; Sven Koenig; Ramayya Krishnan; Thiago Serra; Phebe Vayanos; Segev Wasserkrug; Holly Wiberg (CoRR, 2025)

Finding Probably Approximate Optimal Solutions by Training to Estimate the Optimal Values of Subproblems. - Nimrod Megiddo; Segev Wasserkrug; Orit Davidovich; Shimrit Shtern (CoRR, 2025)