Publikationen

Hier finden Sie von Know-Center MitarbeiterInnen verfasste wissenschaftliche Publikationen

2019

Fuchs Alexandra, Geiger Bernhard, Hobisch Elisabeth, Koncar Philipp, Saric Sanja, Scholger Martina

Distant Spectators: Mining TEI-encoded periodicals of the Enlightenment

TEI Conf. and Member's Meeting, Graz, 2019

Konferenz
with contributions from Denis Helic and Jacqueline More
2019

Lindstaedt Stefanie , Geiger Bernhard, Pirker Gerhard

Big Data and Data Driven Modeling - A New Dawn for Engine Operation and Development

17th Symp. The Working Process of the Internal Combustion Engine, Graz, 2019

Konferenz
2019

Schweimer Christoph, Geiger Bernhard, Suleimenova Diana, Groen Derek, Gfrerer Christine, Pape David, Elsaesser Robert, Kocsis Albert Tihamér, Liszkai B., Horváth Zoltan

Model Reduction in HiDALGO - Initial Plans and Ideas

Workshop on Model Reduction of Complex Dynamical Systems (MODRED), Graz, 2019

Konferenz
2019

Toller Maximilian, Geiger Bernhard, Kern Roman

A Formally Robust Time Series Distance Metric

Mile'TS @ SIGKDD, Anchorage, Alaska USA, 2019

Konferenz
Distance-based classification is among the most competitive classification methods for time series data. The most critical componentof distance-based classification is the selected distance function.Past research has proposed various different distance metrics ormeasures dedicated to particular aspects of real-world time seriesdata, yet there is an important aspect that has not been considered so far: Robustness against arbitrary data contamination. In thiswork, we propose a novel distance metric that is robust against arbitrarily “bad” contamination and has a worst-case computationalcomplexity of O(n logn). We formally argue why our proposedmetric is robust, and demonstrate in an empirical evaluation thatthe metric yields competitive classification accuracy when appliedin k-Nearest Neighbor time series classification.
2019

Geiger Bernhard

On the Information Dimension of Random Variables and Stochastic Processes

Workshop on Casualty and Dynamics in Brain Networks @ Int. Joint Conf. on Neural Networks, Budapest, 2019

Konferenz
joint work with Tobias Koch, Universidad Carlos III de Madrid
2019

Maritsch Martin, Diana Suleimenova, Geiger Bernhard, Derek Groen

AI-Support for large-scale Refugee Movement Simulations

Computing Systems Week Spring 2019, HiPEAC, Edinburgh, 2019

Konferenz
2019

Geiger Bernhard, Schrunner Stefan, Kern Roman

An Information-Theoretic Measure for Pattern Similarity in Analog Wafermap

European Advanced Process Control and Manufacturing Conf. (apc|m, Villach, 2019

Konferenz
Schrunner and Geiger have contributed equally to this work.
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