Frank Schwartz

According to our database, Frank Schwartz authored at least 16 papers between 2007 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Catastrophe insurance and flexible planning for supply chain disruption management: a stochastic simulation case study.

Yingjie Fan, Frank Schwartz, Stefan Voß, David L. Woodruff

Int. J. Prod. Res., February, 2024

2017

Stochastic Programming for Global Supply Chain Planning Under Uncertainty: An Outline.

Yingjie Fan, Frank Schwartz, Stefan Voß, David L. Woodruff

Proceedings of the Computational Logistics - 8th International Conference, 2017

Using LSTMs to learn physiological models of blood glucose behavior.

Sadegh Mirshekarian, Razvan C. Bunescu, Cindy Marling, Frank Schwartz

Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

2015

Case-Based Reasoning as a Prelude to Big Data Analysis: A Case Study.

Cindy Marling, Razvan C. Bunescu, Babak Baradar-Bokaie, Frank Schwartz

Proceedings of the Workshop Proceedings from The Twenty-Third International Conference on Case-Based Reasoning (ICCBR 2015), 2015

2014

Postponement Strategies in Supply Chain Management.

Frank Schwartz, Stefan Voß

J. Oper. Res. Soc., 2014

A Machine Learning Approach to Predicting Blood Glucose Levels for Diabetes Management.

Kevin Plis, Razvan C. Bunescu, Cindy Marling, Jay Shubrook, Frank Schwartz

Proceedings of the Modern Artificial Intelligence for Health Analytics, 2014

2013

Blood Glucose Level Prediction Using Physiological Models and Support Vector Regression.

Razvan C. Bunescu, Nigel Struble, Cindy Marling, Jay Shubrook, Frank Schwartz

Proceedings of the 12th International Conference on Machine Learning and Applications, 2013

2012

A stochastic model for the implementation of postponement strategies in global distribution networks.

Stefan Guericke, Achim Koberstein, Frank Schwartz, Stefan Voß

Decis. Support Syst., 2012

Emerging Applications for Intelligent Diabetes Management.

Cindy Marling, Matthew Wiley, Razvan C. Bunescu, Jay Shubrook, Frank Schwartz

AI Mag., 2012

2011

Automatic Detection of Excessive Glycemic Variability for Diabetes Management.

Matthew Wiley, Razvan C. Bunescu, Cindy Marling, Jay Shubrook, Frank Schwartz

Proceedings of the 10th International Conference on Machine Learning and Applications and Workshops, 2011

The 4 Diabetes Support System: A Case Study in CBR Research and Development.

Cindy Marling, Matthew Wiley, Tessa Cooper, Razvan C. Bunescu, Jay Shubrook, Frank Schwartz

Proceedings of the Case-Based Reasoning Research and Development, 2011

A Stochastic Model for Implementing Postponement Strategies in Distribution Networks.

Stefan Guericke, Achim Koberstein, Frank Schwartz, Stefan Voß

Proceedings of the 44th Hawaii International International Conference on Systems Science (HICSS-44 2011), 2011

2009

Toward Case-Based Reasoning for Diabetes Management: A Preliminary Clinical Study and Decision Support System Prototype.

Cindy Marling, Jay Shubrook, Frank Schwartz

Comput. Intell., 2009

2008

Case-Based Decision Support for Patients with Type 1 Diabetes on Insulin Pump Therapy.

Cindy Marling, Jay Shubrook, Frank Schwartz

Proceedings of the Advances in Case-Based Reasoning, 9th European Conference, 2008

2007

Citation data analysis on hydrogeology.

Frank Schwartz, Y. C. Fang

J. Assoc. Inf. Sci. Technol., 2007

Distribution network design with postponement.

Frank Schwartz, Stefan Voß

Proceedings of the eOrganisation: Service-, Prozess-, Market-Engineering: 8. Internationale Tagung Wirtschaftsinformatik, 2007