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Philipp Baumann
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2020 – today
- 2023
- [j8]Tamara Bigler
, Manuel Kammermann, Philipp Baumann:
A matheuristic for a customer assignment problem in direct marketing. Eur. J. Oper. Res. 304(2): 689-708 (2023) - [c18]Vanessa Tran, Manuel Kammermann, Philipp Baumann:
The MPFCC Algorithm: A Model-Based Approach for Fair-Capacitated Clustering. IEEM 2023: 677-681 - 2022
- [c17]Philipp Baumann, Dorit S. Hochbaum:
A k-Means Algorithm for Clustering with Soft Must-link and Cannot-link Constraints. ICPRAM 2022: 195-202 - [c16]Philipp Baumann:
FT-KMEANS: A Fast Algorithm For Fault-Tolerant Facility Location. IEEM 2022: 502-506 - [i1]Philipp Baumann, Dorit S. Hochbaum:
PCCC: The Pairwise-Confidence-Constraints-Clustering Algorithm. CoRR abs/2212.14437 (2022) - 2021
- [j7]Mario Gnägi, Philipp Baumann
A matheuristic for large-scale capacitated clustering. Comput. Oper. Res. 132: 105304 (2021) - [c15]Philipp Baumann, Manuel Kammermann, Silvan Elsaesser:
Minimizing Paper Waste and Setup Costs in Offset Printing. IEEM 2021: 858-862 - 2020
- [c14]Philipp Baumann:
A Binary Linear Programming-Based K-Means Algorithm For Clustering with Must-Link and Cannot-Link Constraints. IEEM 2020: 324-328 - [c13]Chantal Schöni, Philipp Baumann, Norbert Trautmann:
An Order-First Split-Second Approach to a Novel Variant of the Cardinality-Constrained Covering Traveling Salesperson Problem. IEEM 2020: 615-619
2010 – 2019
- 2019
- [j6]Philipp Baumann
A comparative study of the leading machine learning techniques and two new optimization algorithms. Eur. J. Oper. Res. 272(3): 1041-1057 (2019) - [c12]Philipp Baumann:
A Binary Linear Programming-Based K-Means Approach for the Capacitated Centered Clustering Problem. IEEM 2019: 335-339 - [c11]Tamara Bigler
Optimizing Customer Assignments to Direct Marketing Activities: A Binary Linear Programming Formulation. IEEM 2019: 601-605 - 2018
- [j5]Oliver Strub
Optimal construction and rebalancing of index-tracking portfolios. Eur. J. Oper. Res. 264(1): 370-387 (2018) - [j4]Tom Rihm
Staff assignment with lexicographically ordered acceptance levels. J. Sched. 21(2): 167-189 (2018) - [c10]Philipp Baumann:
A Matheuristic for a Real-world Variant of the Multiple Traveling Salesman Problem. IEEM 2018: 1426-1430 - 2017
- [c9]Philipp Baumann, Dorit S. Hochbaum, Quico Spaen:
High-performance geometric algorithms for sparse computation in big data analytics. IEEE BigData 2017: 546-555 - 2016
- [j3]Dorit S. Hochbaum, Philipp Baumann
Sparse Computation for Large-Scale Data Mining. IEEE Trans. Big Data 2(2): 151-174 (2016) - [c8]Philipp Baumann, Dorit S. Hochbaum, Quico Spaen:
Sparse-Reduced Computation - Enabling Mining of Massively-large Data Sets. ICPRAM 2016: 224-231 - [c7]Carlos Correa Shokiche, Philipp Baumann, Ruslan Hlushchuk
High-Throughput Glomeruli Analysis of μ CT Kidney Images Using Tree Priors and Scalable Sparse Computation. MICCAI (2) 2016: 370-378 - 2015
- [c6]Philipp Baumann, Reynold J. Cooper
Efficient deployment of mobile detectors for security applications. IEEM 2015: 214-218 - [c5]Oliver Strub, Philipp Baumann:
Index tracking using data-mining techniques and mixed-binary linear programming. IEEM 2015: 1208-1212 - [c4]Tom Rihm
Improving fairness in staff assignment: An approach for lexicographic goal programming. IEEM 2015: 1247-1251 - 2014
- [j2]Philipp Baumann, Norbert Trautmann
A hybrid method for large-scale short-term scheduling of make-and-pack production processes. Eur. J. Oper. Res. 236(2): 718-735 (2014) - [c3]Dorit S. Hochbaum, Philipp Baumann:
Sparse computation for large-scale data mining. IEEE BigData 2014: 354-363 - [c2]Philipp Baumann, Norbert Trautmann
Efficient symmetry-breaking formulations for grouping customer orders in a printing shop. IEEM 2014: 506-510 - 2013
- [j1]Philipp Baumann, Norbert Trautmann
Portfolio-optimization models for small investors. Math. Methods Oper. Res. 77(3): 345-356 (2013) - 2011
- [c1]Philipp Baumann, Norbert Trautmann
Heuristic decomposition and LP-based scheduling in make-and-pack production. IEEM 2011: 362-366
Coauthor Index
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