ISBN: 978-1-4577-1350-7International audienceIn this paper we present a fully operational, scalable and open architecture allowing to perform end-to-end document analysis benchmarking without needing to develop the whole pipeline. By decomposing the whole analysis process into coarse grained tasks, and by building upon community provided state-of-the art algorithms, our architecture allows virtually any combination of elementary document analysis algorithms, regardless their running system environment, programming language or data structures. Its flexible structure makes it very straightforward to plug in new experimental algorithms, compare them to equivalent other algorithms, and observe its effects on end-to-end tasks without need to inst...
With the increased interest in computational sciences, machine learning (ML), pattern recognition (P...
We discuss the design of interactive, internet based benchmarking using parametric (statistical) as ...
Machine learning research depends on objectively interpretable, comparable, and reproducible algorit...
The original publication is available at www.springerlink.comInternational audienceDespite tremendou...
In this paper, we present BAM, a unified Benchmark for Argument Mining (AM). We propose a method to ...
Benchmarking has proven to be crucial for the investigation of the behavior and performances of a sy...
In research, evaluation plays a key role to assess the performance of an approach. When evalua...
With the increased interest in computational sciences, machine learning (ML), pattern recognition (P...
Benchmark programs are an integral part of program analysis research. Researchers use benchmark prog...
International audienceApplication benchmarking is a widely trusted method of performance evaluation....
Performance evaluation of database tools and systems is frequently done by using performance benchma...
International audienceBenchmarking has proven to be crucial for the investigation of the behavior an...
Obtaining standardized crowdsourced benchmark of computational methods is a major issue in data scie...
In recent years, an active field of research has developed around automated machine learning(AutoML)...
Článek mapuje systémy pro analýzu a srovnávání dat akademických knihoven. Na základě rešerše v odbor...
With the increased interest in computational sciences, machine learning (ML), pattern recognition (P...
We discuss the design of interactive, internet based benchmarking using parametric (statistical) as ...
Machine learning research depends on objectively interpretable, comparable, and reproducible algorit...
The original publication is available at www.springerlink.comInternational audienceDespite tremendou...
In this paper, we present BAM, a unified Benchmark for Argument Mining (AM). We propose a method to ...
Benchmarking has proven to be crucial for the investigation of the behavior and performances of a sy...
In research, evaluation plays a key role to assess the performance of an approach. When evalua...
With the increased interest in computational sciences, machine learning (ML), pattern recognition (P...
Benchmark programs are an integral part of program analysis research. Researchers use benchmark prog...
International audienceApplication benchmarking is a widely trusted method of performance evaluation....
Performance evaluation of database tools and systems is frequently done by using performance benchma...
International audienceBenchmarking has proven to be crucial for the investigation of the behavior an...
Obtaining standardized crowdsourced benchmark of computational methods is a major issue in data scie...
In recent years, an active field of research has developed around automated machine learning(AutoML)...
Článek mapuje systémy pro analýzu a srovnávání dat akademických knihoven. Na základě rešerše v odbor...
With the increased interest in computational sciences, machine learning (ML), pattern recognition (P...
We discuss the design of interactive, internet based benchmarking using parametric (statistical) as ...
Machine learning research depends on objectively interpretable, comparable, and reproducible algorit...