Dirk Hecker

According to our database, Dirk Hecker authored at least 29 papers between 2008 and 2024.

Collaborative distances:

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

2024

Developing trustworthy AI applications with foundation models.

Michael Mock, Sebastian Schmidt, Felix Müller, Rebekka Görge, Anna Schmitz, Elena Haedecke, Angelika Voss, Dirk Hecker, Maximilian Poretschkin

CoRR, 2024

Topic modelling for spatial insights: Uncovering space use from movement data.

Gennady L. Andrienko, Natalia V. Andrienko, Dirk Hecker

Comput. Graph., 2024

2023

Big Data 2.0 - mit synthetischen Daten KI-Systeme stärken.

Dirk Hecker, Angi Voss, Gerhard Paaß, Tim Wirtz

Wirtschaftsinformatik Manag., April, 2023

Guideline for Trustworthy Artificial Intelligence - AI Assessment Catalog.

Maximilian Poretschkin, Anna Schmitz, Maram Akila, Linara Adilova, Daniel Becker, Armin B. Cremers, Dirk Hecker, Sebastian Houben, Michael Mock, Julia Rosenzweig, Joachim Sicking, Elena Schulz, Angelika Voss, Stefan Wrobel

CoRR, 2023

Extracting Movement-based Topics for Analysis of Space Use.

Gennady L. Andrienko, Natalia V. Andrienko, Dirk Hecker

Proceedings of the 143th International EuroVis Workshop on Visual Analytics, 2023

2022

Supporting Visual Exploration of Iterative Job Scheduling.

Gennady L. Andrienko, Natalia V. Andrienko, Jose Manuel Cordero Garcia, Dirk Hecker, George A. Vouros

IEEE Computer Graphics and Applications, 2022

The why and how of trustworthy AI.

Anna Schmitz, Maram Akila, Dirk Hecker, Maximilian Poretschkin, Stefan Wrobel

Autom., 2022

Data Ecosystems: A New Dimension of Value Creation Using AI and Machine Learning.

Dirk Hecker, Angelika Voss, Stefan Wrobel

Proceedings of the Designing Data Spaces: The Ecosystem Approach to Competitive Advantage, 2022

2021

Constructing Spaces and Times for Tactical Analysis in Football.

Gennady L. Andrienko, Natalia V. Andrienko, Gabriel Anzer, Pascal Bauer, Guido Budziak, Georg Fuchs, Dirk Hecker, Hendrik Weber, Stefan Wrobel

IEEE Trans. Vis. Comput. Graph., 2021

2020

tanh Neurons Are Bayesian Decision Makers.

Christian Bauckhage, Rafet Sifa, Dirk Hecker

Proceedings of the Intelligent Systems and Applications, 2020

2019

Informed Machine Learning for Industry.

Christian Bauckhage, Daniel Schulz, Dirk Hecker

ERCIM News, 2019

Max-Sum Dispersion via Quantum Annealing.

Christian Bauckhage, Rafet Sifa, Dirk Hecker, Stefan Wrobel

Proceedings of the Conference on "Lernen, Wissen, Daten, Analysen", Berlin, Germany, September 30, 2019

A QUBO Formulation of the k-Medoids Problem.

Christian Bauckhage, Nico Piatkowski, Rafet Sifa, Dirk Hecker, Stefan Wrobel

Proceedings of the Conference on "Lernen, Wissen, Daten, Analysen", Berlin, Germany, September 30, 2019

2017

Künstliche Intelligenz und die Potenziale des maschinellen Lernens für die Industrie.

Dirk Hecker, Inga Döbel, Stefan Rüping, Velina Schmitz

Wirtschaftsinformatik Manag., 2017

2016

Big-Data-Geschäftsmodelle - die drei Seiten der Medaille.

Dirk Hecker, Daniel Jeffrey Koch, Joerg Heydecke, Christoph Werkmeister

Wirtschaftsinformatik Manag., 2016

2015

Constructing semantic interpretation of routine and anomalous mobility behaviors from big data.

Georg Fuchs, Hendrik Stange, Dirk Hecker, Natalia V. Andrienko, Gennady L. Andrienko

ACM SIGSPATIAL Special, 2015

2013

Using Bluetooth to track mobility patterns: depicting its potential based on various case studies.

Timothy Ellersiek, Gennady L. Andrienko, Natalia V. Andrienko, Dirk Hecker, Hendrik Stange, Marc Mueller

Proceedings of the Fifth ACM SIGSPATIAL International Workshop On Indoor Spatial Awareness, 2013

2012

Visual Analytics for Understanding Spatial Situations from Episodic Movement Data.

Natalia V. Andrienko, Gennady L. Andrienko, Hendrik Stange, Thomas Liebig, Dirk Hecker

Künstliche Intell., 2012

2011

Robustness analyses for repeated mobility surveys in outdoor advertising.

Dirk Hecker, Christine Körner, Michael May

Proceedings of the IEEE International Conference on Spatial Data Mining and Geographical Knowledge Services, 2011

Analytical workflow of monitoring human mobility in big event settings using Bluetooth.

Hendrik Stange, Thomas Liebig, Dirk Hecker, Gennady L. Andrienko, Natalia V. Andrienko

Proceedings of the Indoor Spatial Awareness, 2011

Challenges and Advantages of using GPS Data in Outdoor Advertisement.

Dirk Hecker, Christine Körner, Michael May

Proceedings of the Geoinformatik 2011 - Geochange: Konferenzband, Münster, 2011

Modeling Micro-Movement Variability in Mobility Studies.

Dirk Hecker, Christine Körner, Hendrik Stange, Daniel Schulz, Michael May

Proceedings of the Advancing Geoinformation Science for a Changing World [Papers from the 14th AGILE Conference, 2011

2010

Spatial Data Mining in Practice: Principles and Case Studies.

Christine Körner, Dirk Hecker, Maike Krause-Traudes, Michael May, Simon Scheider, Daniel Schulz, Hendrik Stange, Stefan Wrobel

Proceedings of the Data Mining for Business Applications, 2010

Sample Bias due to Missing Data in Mobility Surveys.

Dirk Hecker, Hendrik Stange, Christine Körner, Michael May

Proceedings of the ICDMW 2010, 2010

Visit Potential: A Common Vocabulary for the Analysis of Entity-Location Interactions in Mobility Applications.

Christine Körner, Dirk Hecker, Michael May, Stefan Wrobel

Proceedings of the Geospatial Thinking, 2010

2009

Handling missing values in GPS surveys using survival analysis: a GPS case study of outdoor advertising.

Michael May, Christine Körner, Dirk Hecker, Martial Pasquier, Urs Hofmann, Felix Mende

Proceedings of the 3rd ACM SIGKDD Workshop on Data Mining and Audience Intelligence for Advertising, 2009

Modelling Missing Values for Audience Measurement in Outdoor Advertising Using GPS Data.

Michael May, Christine Körner, Dirk Hecker, Martial Pasquier, Urs Hofmann, Felix Mende

Proceedings of the 39. Jahrestagung der Gesellschaft für Informatik, Im Focus das Leben, INFORMATIK 2009, Lübeck, Germany, September 28, 2009

2008

A Vector-Geometry Based Spatial kNN-Algorithm for Traffic Frequency Predictions.

Michael May, Dirk Hecker, Christine Körner, Simon Scheider, Daniel Schulz

Proceedings of the Workshops Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

Pedestrian flow prediction in extensive road networks using biased observational data.

Michael May, Simon Scheider, Roberto Rösler, Daniel Schulz, Dirk Hecker

Proceedings of the 16th ACM SIGSPATIAL International Symposium on Advances in Geographic Information Systems, 2008