46 citations · 67 across the 8 of their papers we have counts for
8 papers
An Approach to Multiple Comparison Benchmark Evaluations that is Stable Under Manipulation of the Comparate Set
Ali Ismail-Fawaz, Angus Dempster, Chang Wei Tan +8
The measurement of progress using benchmarks evaluations is ubiquitous in computer science and machine learning. However, common approaches to analyzing and presenting the results…
Proximity Forest 2.0: A new effective and scalable similarity-based classifier for time series
Matthieu Herrmann, Chang Wei Tan, Mahsa Salehi +1
Time series classification (TSC) is a challenging task due to the diversity of types of feature that may be relevant for different classification tasks, including trends, variance,…
Parameterizing the cost function of Dynamic Time Warping with application to time series classification
Matthieu Herrmann, Chang Wei Tan, Geoffrey I. Webb
Dynamic Time Warping (DTW) is a popular time series distance measure that aligns the points in two series with one another. These alignments support warping of the time dimension t…
Amercing: An Intuitive, Elegant and Effective Constraint for Dynamic Time Warping
Matthieu Herrmann, Geoffrey I. Webb
Dynamic Time Warping (DTW), and its constrained (CDTW) and weighted (WDTW) variants, are time series distances with a wide range of applications. They minimize the cost of non-line…
Early Abandoning and Pruning for Elastic Distances including Dynamic Time Warping
Matthieu Herrmann, Geoffrey I. Webb
Nearest neighbor search under elastic distances is a key tool for time series analysis, supporting many applications. However, straightforward implementations of distances require…
Early Abandoning PrunedDTW and its application to similarity search
Matthieu Herrmann, Geoffrey I. Webb
The Dynamic Time Warping ("DTW") distance is widely used in time series analysis, be it for classification, clustering or similarity search. However, its quadratic time complexity…
BARD: A structured technique for group elicitation of Bayesian networks to support analytic reasoning
Ann E. Nicholson, Kevin B. Korb, Erik P. Nyberg +13
In many complex, real-world situations, problem solving and decision making require effective reasoning about causation and uncertainty. However, human reasoning in these cases is…
On the dependent conjunction and implication
Matthieu Herrmann, Alain Prouté
We give a theoretical model of conjunctions and implications where is meaningful only when is true, a situation which is very often encountered in…