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Matthieu Herrmann
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2020 – today
- 2023
- [j4]Matthieu Herrmann, Chang Wei Tan, Geoffrey I. Webb:
Parameterizing the cost function of dynamic time warping with application to time series classification. Data Min. Knowl. Discov. 37(5): 2024-2045 (2023) - [j3]Chang Wei Tan, Matthieu Herrmann, Geoffrey I. Webb:
Ultra-fast meta-parameter optimization for time series similarity measures with application to nearest neighbour classification. Knowl. Inf. Syst. 65(5): 2123-2157 (2023) - [j2]Matthieu Herrmann, Geoffrey I. Webb:
Amercing: An intuitive and effective constraint for dynamic time warping. Pattern Recognit. 137: 109333 (2023) - [i8]Matthieu Herrmann, Chang Wei Tan, Geoffrey I. Webb:
Parameterizing the cost function of Dynamic Time Warping with application to time series classification. CoRR abs/2301.10350 (2023) - [i7]Matthieu Herrmann, Chang Wei Tan, Mahsa Salehi, Geoffrey I. Webb:
Proximity Forest 2.0: A new effective and scalable similarity-based classifier for time series. CoRR abs/2304.05800 (2023) - [i6]Ali Ismail-Fawaz, Angus Dempster, Chang Wei Tan, Matthieu Herrmann, Lynn Miller, Daniel F. Schmidt, Stefano Berretti, Jonathan Weber, Maxime Devanne, Germain Forestier, Geoffrey I. Webb:
An Approach to Multiple Comparison Benchmark Evaluations that is Stable Under Manipulation of the Comparate Set. CoRR abs/2305.11921 (2023) - 2021
- [j1]Matthieu Herrmann, Geoffrey I. Webb:
Early abandoning and pruning for elastic distances including dynamic time warping. Data Min. Knowl. Discov. 35(6): 2577-2601 (2021) - [c3]Chang Wei Tan, Matthieu Herrmann, Geoffrey I. Webb:
Ultra fast warping window optimization for Dynamic Time Warping. ICDM 2021: 589-598 - [i5]Matthieu Herrmann, Geoffrey I. Webb:
Early Abandoning and Pruning for Elastic Distances. CoRR abs/2102.05221 (2021) - [i4]Matthieu Herrmann, Geoffrey I. Webb:
Amercing: An Intuitive, Elegant and Effective Constraint for Dynamic Time Warping. CoRR abs/2111.13314 (2021) - 2020
- [i3]Ann E. Nicholson, Kevin B. Korb, Erik P. Nyberg, Michael Wybrow, Ingrid Zukerman, Steven Mascaro, Shreshth Thakur, Abraham Oshni Alvandi, Jeff Riley, Ross Pearson, Shane Morris, Matthieu Herrmann, A. K. M. Azad, Fergus Bolger, Ulrike Hahn, David A. Lagnado:
BARD: A structured technique for group elicitation of Bayesian networks to support analytic reasoning. CoRR abs/2003.01207 (2020) - [i2]Matthieu Herrmann, Geoffrey I. Webb:
Early Abandoning PrunedDTW and its application to similarity search. CoRR abs/2010.05371 (2020)
2010 – 2019
- 2018
- [c2]Chang Wei Tan, Matthieu Herrmann, Germain Forestier, Geoffrey I. Webb, François Petitjean:
Efficient search of the best warping window for Dynamic Time Warping. SDM 2018: 225-233 - 2016
- [i1]Matthieu Herrmann, Alain Prouté:
On the dependent conjunction and implication. CoRR abs/1606.06005 (2016) - 2011
- [c1]Alexandra Jimborean, Matthieu Herrmann, Vincent Loechner, Philippe Clauss:
VMAD: A virtual machine for advanced dynamic analysis of programs. ISPASS 2011: 125-126
Coauthor Index
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