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  2023 (3)
Fast Exact Dynamic Time Warping on Run-Length Encoded Time Series. Froese, V.; Jain, B. J.; Rymar, M.; and Weller, M. Algorithmica, 85(2): 492–508. 2023.
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Finding Degree-Constrained Acyclic Orientations. Garvardt, J.; Renken, M.; Schestag, J.; and Weller, M. In IPEC, volume 285, of LIPIcs, pages 19:1–19:14, 2023. Schloss Dagstuhl - Leibniz-Zentrum für Informatik
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Graph Clustering Problems Under the Lens of Parameterized Local Search. Garvardt, J.; Morawietz, N.; Nichterlein, A.; and Weller, M. In IPEC, volume 285, of LIPIcs, pages 20:1–20:19, 2023. Schloss Dagstuhl - Leibniz-Zentrum für Informatik
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  2022 (5)
Treewidth-based algorithms for the small parsimony problem on networks. Scornavacca, C.; and Weller, M. Algorithms Mol. Biol., 17(1): 15. 2022.
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On a greedy approach for genome scaffolding. Davot, T.; Chateau, A.; Fossé, R.; Giroudeau, R.; and Weller, M. Algorithms Mol. Biol., 17(1): 16. 2022.
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Embedding Phylogenetic Trees in Networks of Low Treewidth. van Iersel, L.; Jones, M.; and Weller, M. In ESA, volume 244, of LIPIcs, pages 69:1–69:14, 2022. Schloss Dagstuhl - Leibniz-Zentrum für Informatik
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Quantifying Hierarchical Conflicts in Homology Statements. Swenson, K. M.; Elghraoui, A.; Valafar, F.; Mirarab, S.; and Weller, M. In RECOMB-CG, volume 13234, of Lecture Notes in Computer Science, pages 146–167, 2022. Springer
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Embedding phylogenetic trees in networks of low treewidth. van Iersel, L.; Jones, M.; and Weller, M. CoRR, abs/2207.00574. 2022.
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  2021 (3)
Producing Genomic Sequences after Genome Scaffolding with Ambiguous Paths: Complexity, Approximation and Lower Bounds. Davot, T.; Chateau, A.; Giroudeau, R.; Weller, M.; and Tabary, D. Algorithmica, 83(7): 2063–2095. 2021.
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Tree Containment With Soft Polytomies. Bentert, M.; and Weller, M. J. Graph Algorithms Appl., 25(1): 417–436. 2021.
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Treewidth-Based Algorithms for the Small Parsimony Problem on Networks. Scornavacca, C.; and Weller, M. In WABI, volume 201, of LIPIcs, pages 6:1–6:21, 2021. Schloss Dagstuhl - Leibniz-Zentrum für Informatik
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  2020 (3)
A Timecop's Work Is Harder Than You Think. Morawietz, N.; Rehs, C.; and Weller, M. In MFCS, volume 170, of LIPIcs, pages 71:1–71:14, 2020. Schloss Dagstuhl - Leibniz-Zentrum für Informatik
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Linearizing Genomes: Exact Methods and Local Search. Davot, T.; Chateau, A.; Giroudeau, R.; and Weller, M. In SOFSEM, volume 12011, of Lecture Notes in Computer Science, pages 505–518, 2020. Springer
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Scanning Phylogenetic Networks Is NP-hard. Berry, V.; Scornavacca, C.; and Weller, M. In SOFSEM, volume 12011, of Lecture Notes in Computer Science, pages 519–530, 2020. Springer
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  2019 (5)
Parameterized Algorithms in Bioinformatics: An Overview. Bulteau, L.; and Weller, M. Algorithms, 12(12): 256. 2019.
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New Polynomial-Time Algorithm Around the Scaffolding Problem. Davot, T.; Chateau, A.; Giroudeau, R.; and Weller, M. In AlCoB, volume 11488, of Lecture Notes in Computer Science, pages 25–38, 2019. Springer
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Power Edge Set and Zero Forcing Set Remain Difficult in Cubic Graphs. Cazals, P.; Darties, B.; Chateau, A.; Giroudeau, R.; and Weller, M. In IWOCA, volume 11638, of Lecture Notes in Computer Science, pages 122–135, 2019. Springer
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Fast Exact Dynamic Time Warping on Run-Length Encoded Time Series. Froese, V.; Jain, B. J.; Rymar, M.; and Weller, M. CoRR, abs/1903.03003. 2019.
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Listing Conflicting Triples in Optimal Time. Weller, M. CoRR, abs/1911.11048. 2019.
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  2018 (9)
Scaffolding Problems Revisited: Complexity, Approximation and Fixed Parameter Tractable Algorithms, and Some Special Cases. Weller, M.; Chateau, A.; Dallard, C.; and Giroudeau, R. Algorithmica, 80(6): 1771–1803. 2018.
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On residual approximation in solution extension problems. Weller, M.; Chateau, A.; Giroudeau, R.; König, J.; and Pollet, V. J. Comb. Optim., 36(4): 1195–1220. 2018.
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Complexity and lowers bounds for Power Edge Set Problem. Darties, B.; Champseix, N.; Chateau, A.; Giroudeau, R.; and Weller, M. J. Discrete Algorithms, 52-53: 70–91. 2018.
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What Is Known About Vertex Cover Kernelization?. Fellows, M. R.; Jaffke, L.; Király, A. I.; Rosamond, F. A.; and Weller, M. In Adventures Between Lower Bounds and Higher Altitudes, volume 11011, of Lecture Notes in Computer Science, pages 330–356, 2018. Springer
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New Results About the Linearization of Scaffolds Sharing Repeated Contigs. Tabary, D.; Davot, T.; Weller, M.; Chateau, A.; and Giroudeau, R. In COCOA, volume 11346, of Lecture Notes in Computer Science, pages 94–107, 2018. Springer
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On the Hardness of Approximating Linearization of Scaffolds Sharing Repeated Contigs. Davot, T.; Chateau, A.; Giroudeau, R.; and Weller, M. In RECOMB-CG, volume 11183, of Lecture Notes in Computer Science, pages 91–107, 2018. Springer
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Linear-Time Tree Containment in Phylogenetic Networks. Weller, M. In RECOMB-CG, volume 11183, of Lecture Notes in Computer Science, pages 309–323, 2018. Springer
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Tree Containment With Soft Polytomies. Bentert, M.; Malík, J.; and Weller, M. In SWAT, volume 101, of LIPIcs, pages 9:1–9:14, 2018. Schloss Dagstuhl - Leibniz-Zentrum für Informatik
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What is known about Vertex Cover Kernelization?. Fellows, M. R.; Jaffke, L.; Király, A. I.; Rosamond, F. A.; and Weller, M. CoRR, abs/1811.09429. 2018.
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  2017 (9)
Resolution and reconciliation of non-binary gene trees with transfers, duplications and losses. Jacox, E.; Weller, M.; Tannier, E.; and Scornavacca, C. Bioinform., 33(7): 980–987. 2017.
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A polynomial-time algorithm for Outerplanar Diameter Improvement. Cohen, N.; Gonçalves, D.; Kim, E. J.; Paul, C.; Sau, I.; Thilikos, D. M.; and Weller, M. J. Comput. Syst. Sci., 89: 315–327. 2017.
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New Insights for Power Edge Set Problem. Darties, B.; Chateau, A.; Giroudeau, R.; and Weller, M. In COCOA (1), volume 10627, of Lecture Notes in Computer Science, pages 180–194, 2017. Springer
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On the Linearization of Scaffolds Sharing Repeated Contigs. Weller, M.; Chateau, A.; and Giroudeau, R. In COCOA (2), volume 10628, of Lecture Notes in Computer Science, pages 509–517, 2017. Springer
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Improved Complexity for Power Edge Set Problem. Darties, B.; Chateau, A.; Giroudeau, R.; and Weller, M. In IWOCA, volume 10765, of Lecture Notes in Computer Science, pages 128–141, 2017. Springer
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The PACE 2017 Parameterized Algorithms and Computational Experiments Challenge: The Second Iteration. Dell, H.; Komusiewicz, C.; Talmon, N.; and Weller, M. In IPEC, volume 89, of LIPIcs, pages 30:1–30:12, 2017. Schloss Dagstuhl - Leibniz-Zentrum für Informatik
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Constructing a Consensus Phylogeny from a Leaf-Removal Distance (Extended Abstract). Chauve, C.; Jones, M.; Lafond, M.; Scornavacca, C.; and Weller, M. In SPIRE, volume 10508, of Lecture Notes in Computer Science, pages 129–143, 2017. Springer
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Linear-Time Tree Containment in Phylogenetic Networks. Weller, M. CoRR, abs/1702.06364. 2017.
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Constructing a Consensus Phylogeny from a Leaf-Removal Distance. Chauve, C.; Jones, M.; Lafond, M.; Scornavacca, C.; and Weller, M. CoRR, abs/1705.05295. 2017.
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  2016 (4)
Phylogenetic incongruence through the lens of Monadic Second Order logic. Kelk, S.; van Iersel, L.; Scornavacca, C.; and Weller, M. J. Graph Algorithms Appl., 20(2): 189–215. 2016.
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Parameterized certificate dispersal and its variants. Garnero, V.; and Weller, M. Theor. Comput. Sci., 622: 66–78. 2016.
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Instance Guaranteed Ratio on Greedy Heuristic for Genome Scaffolding. Dallard, C.; Weller, M.; Chateau, A.; and Giroudeau, R. In COCOA, volume 10043, of Lecture Notes in Computer Science, pages 294–308, 2016. Springer
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On Residual Approximation in Solution Extension Problems. Weller, M.; Chateau, A.; Giroudeau, R.; König, J.; and Pollet, V. In COCOA, volume 10043, of Lecture Notes in Computer Science, pages 463–476, 2016. Springer
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  2015 (7)
Exact approaches for scaffolding. Weller, M.; Chateau, A.; and Giroudeau, R. BMC Bioinform., 16(S14): S2. 2015.
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Interval scheduling and colorful independent sets. van Bevern, R.; Mnich, M.; Niedermeier, R.; and Weller, M. J. Sched., 18(5): 449–469. 2015.
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Polynomial-Time Data Reduction for the Subset Interconnection Design Problem. Chen, J.; Komusiewicz, C.; Niedermeier, R.; Sorge, M.; Suchý, O.; and Weller, M. SIAM J. Discret. Math., 29(1): 1–25. 2015.
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On the Complexity of Scaffolding Problems: From Cliques to Sparse Graphs. Weller, M.; Chateau, A.; and Giroudeau, R. In COCOA, volume 9486, of Lecture Notes in Computer Science, pages 409–423, 2015. Springer
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A Polynomial-Time Algorithm for Outerplanar Diameter Improvement. Cohen, N.; Gonçalves, D.; Kim, E.; Paul, C.; Sau, I.; Thilikos, D. M.; and Weller, M. In CSR, volume 9139, of Lecture Notes in Computer Science, pages 123–142, 2015. Springer
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On the Complexity of Hub Labeling (Extended Abstract). Babenko, M. A.; Goldberg, A. V.; Kaplan, H.; Savchenko, R.; and Weller, M. In MFCS (2), volume 9235, of Lecture Notes in Computer Science, pages 62–74, 2015. Springer
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On the Complexity of Hub Labeling. Babenko, M. A.; Goldberg, A. V.; Kaplan, H.; Savchenko, R.; and Weller, M. CoRR, abs/1501.02492. 2015.
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  2014 (6)
Exploiting a hypergraph model for finding Golomb rulers. Sorge, M.; Moser, H.; Niedermeier, R.; and Weller, M. Acta Informatica, 51(7): 449–471. 2014.
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Constant Thresholds Can Make Target Set Selection Tractable. Chopin, M.; Nichterlein, A.; Niedermeier, R.; and Weller, M. Theory Comput. Syst., 55(1): 61–83. 2014.
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On the parameterized complexity of consensus clustering. Dörnfelder, M.; Guo, J.; Komusiewicz, C.; and Weller, M. Theor. Comput. Sci., 542: 71–82. 2014.
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Interval scheduling and colorful independent sets. van Bevern, R.; Mnich, M.; Niedermeier, R.; and Weller, M. CoRR, abs/1402.0851. 2014.
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A Polynomial-time Algorithm for Outerplanar Diameter Improvement. Cohen, N.; Gonçalves, D.; Kim, E. J.; Paul, C.; Sau, I.; Thilikos, D. M.; and Weller, M. CoRR, abs/1403.5702. 2014.
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Optimal Hub Labeling is NP-complete. Weller, M. CoRR, abs/1407.8373. 2014.
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  2013 (6)
Aspects of preprocessing applied to combinatorial graph problems. Weller, M. Ph.D. Thesis, Berlin Institute of Technology, 2013.
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Efficient Algorithms for Eulerian Extension and Rural Postman. Dorn, F.; Moser, H.; Niedermeier, R.; and Weller, M. SIAM J. Discret. Math., 27(1): 75–94. 2013.
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On tractable cases of Target Set Selection. Nichterlein, A.; Niedermeier, R.; Uhlmann, J.; and Weller, M. Soc. Netw. Anal. Min., 3(2): 233–256. 2013.
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Two-Layer Planarization parameterized by feedback edge set. Uhlmann, J.; and Weller, M. Theor. Comput. Sci., 494: 99–111. 2013.
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Effective and Efficient Data Reduction for the Subset Interconnection Design Problem. Chen, J.; Komusiewicz, C.; Niedermeier, R.; Sorge, M.; Suchý, O.; and Weller, M. In ISAAC, volume 8283, of Lecture Notes in Computer Science, pages 361–371, 2013. Springer
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An Improved Branching Algorithm for Two-Layer Planarization Parameterized by the Feedback Edge Set Number. Weller, M. In SEA, volume 7933, of Lecture Notes in Computer Science, pages 337–353, 2013. Springer
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  2012 (5)
On making directed graphs transitive. Weller, M.; Komusiewicz, C.; Niedermeier, R.; and Uhlmann, J. J. Comput. Syst. Sci., 78(2): 559–574. 2012.
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A new view on Rural Postman based on Eulerian Extension and Matching. Sorge, M.; van Bevern, R.; Niedermeier, R.; and Weller, M. J. Discrete Algorithms, 16: 12–33. 2012.
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Interval Scheduling and Colorful Independent Sets. van Bevern, R.; Mnich, M.; Niedermeier, R.; and Weller, M. In ISAAC, volume 7676, of Lecture Notes in Computer Science, pages 247–256, 2012. Springer
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Exploiting a Hypergraph Model for Finding Golomb Rulers. Sorge, M.; Moser, H.; Niedermeier, R.; and Weller, M. In ISCO, volume 7422, of Lecture Notes in Computer Science, pages 368–379, 2012. Springer
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Constant Thresholds Can Make Target Set Selection Tractable. Chopin, M.; Nichterlein, A.; Niedermeier, R.; and Weller, M. In MedAlg, volume 7659, of Lecture Notes in Computer Science, pages 120–133, 2012. Springer
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  2011 (4)
On the Parameterized Complexity of Consensus Clustering. Dörnfelder, M.; Guo, J.; Komusiewicz, C.; and Weller, M. In ISAAC, volume 7074, of Lecture Notes in Computer Science, pages 624–633, 2011. Springer
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A New View on Rural Postman Based on Eulerian Extension and Matching. Sorge, M.; van Bevern, R.; Niedermeier, R.; and Weller, M. In IWOCA, volume 7056, of Lecture Notes in Computer Science, pages 310–323, 2011. Springer
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Linear-Time Computation of a Linear Problem Kernel for Dominating Set on Planar Graphs. van Bevern, R.; Hartung, S.; Kammer, F.; Niedermeier, R.; and Weller, M. In IPEC, volume 7112, of Lecture Notes in Computer Science, pages 194–206, 2011. Springer
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From Few Components to an Eulerian Graph by Adding Arcs. Sorge, M.; van Bevern, R.; Niedermeier, R.; and Weller, M. In WG, volume 6986, of Lecture Notes in Computer Science, pages 307–318, 2011. Springer
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  2010 (4)
Extended Islands of Tractability for Parsimony Haplotyping. Fleischer, R.; Guo, J.; Niedermeier, R.; Uhlmann, J.; Wang, Y.; Weller, M.; and Wu, X. In CPM, volume 6129, of Lecture Notes in Computer Science, pages 214–226, 2010. Springer
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On Tractable Cases of Target Set Selection. Nichterlein, A.; Niedermeier, R.; Uhlmann, J.; and Weller, M. In ISAAC (1), volume 6506, of Lecture Notes in Computer Science, pages 378–389, 2010. Springer
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Two-Layer Planarization Parameterized by Feedback Edge Set. Uhlmann, J.; and Weller, M. In TAMC, volume 6108, of Lecture Notes in Computer Science, pages 431–442, 2010. Springer
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Efficient Algorithms for Eulerian Extension. Dorn, F.; Moser, H.; Niedermeier, R.; and Weller, M. In WG, volume 6410, of Lecture Notes in Computer Science, pages 100–111, 2010.
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  2009 (1)
On Making Directed Graphs Transitive. Weller, M.; Komusiewicz, C.; Niedermeier, R.; and Uhlmann, J. In WADS, volume 5664, of Lecture Notes in Computer Science, pages 542–553, 2009. Springer
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