Matthieu Herrmann

According to our database, Matthieu Herrmann authored at least 14 papers between 2011 and 2023.

Collaborative distances:

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

2023

Parameterizing the cost function of dynamic time warping with application to time series classification.

Matthieu Herrmann, Chang Wei Tan, Geoffrey I. Webb

Data Min. Knowl. Discov., September, 2023

Amercing: An intuitive and effective constraint for dynamic time warping.

Matthieu Herrmann, Geoffrey I. Webb

Pattern Recognit., May, 2023

Ultra-fast meta-parameter optimization for time series similarity measures with application to nearest neighbour classification.

Chang Wei Tan, Matthieu Herrmann, Geoffrey I. Webb

Knowl. Inf. Syst., May, 2023

An Approach to Multiple Comparison Benchmark Evaluations that is Stable Under Manipulation of the Comparate Set.

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

CoRR, 2023

Proximity Forest 2.0: A new effective and scalable similarity-based classifier for time series.

Matthieu Herrmann, Chang Wei Tan, Mahsa Salehi, Geoffrey I. Webb

CoRR, 2023

2021

Early abandoning and pruning for elastic distances including dynamic time warping.

Matthieu Herrmann, Geoffrey I. Webb

Data Min. Knowl. Discov., 2021

Amercing: An Intuitive, Elegant and Effective Constraint for Dynamic Time Warping.

Matthieu Herrmann, Geoffrey I. Webb

CoRR, 2021

Early Abandoning and Pruning for Elastic Distances.

Matthieu Herrmann, Geoffrey I. Webb

CoRR, 2021

Ultra fast warping window optimization for Dynamic Time Warping.

Chang Wei Tan, Matthieu Herrmann, Geoffrey I. Webb

Proceedings of the IEEE International Conference on Data Mining, 2021

2020

Early Abandoning PrunedDTW and its application to similarity search.

Matthieu Herrmann, Geoffrey I. Webb

CoRR, 2020

BARD: A structured technique for group elicitation of Bayesian networks to support analytic reasoning.

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

CoRR, 2020

2018

Efficient search of the best warping window for Dynamic Time Warping.

Chang Wei Tan, Matthieu Herrmann, Germain Forestier, Geoffrey I. Webb, François Petitjean

Proceedings of the 2018 SIAM International Conference on Data Mining, 2018

2016

On the dependent conjunction and implication.

Matthieu Herrmann, Alain Prouté

CoRR, 2016

2011

VMAD: A virtual machine for advanced dynamic analysis of programs.

Alexandra Jimborean, Matthieu Herrmann, Vincent Loechner, Philippe Clauss

Proceedings of the IEEE International Symposium on Performance Analysis of Systems and Software, 2011