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Journal Articles
- 2024
[j9]Gennady L. Andrienko
, Natalia V. Andrienko, Dirk Hecker:
Topic modelling for spatial insights: Uncovering space use from movement data. Comput. Graph. 122: 103989 (2024)- 2023
- [j8]Dirk Hecker, Angi Voss, Gerhard Paaß, Tim Wirtz:
Big Data 2.0 - mit synthetischen Daten KI-Systeme stärken. Wirtschaftsinformatik Manag. 15(2): 161-167 (2023) - 2022
- [j7]Anna Schmitz, Maram Akila, Dirk Hecker, Maximilian Poretschkin, Stefan Wrobel:
The why and how of trustworthy AI. Autom. 70(9): 793-804 (2022) - [j6]Gennady L. Andrienko, Natalia V. Andrienko, Jose Manuel Cordero Garcia, Dirk Hecker, George A. Vouros:
Supporting Visual Exploration of Iterative Job Scheduling. IEEE Computer Graphics and Applications 42(3): 74-86 (2022) - 2021
- [j5]Gennady L. Andrienko, Natalia V. Andrienko, Gabriel Anzer, Pascal Bauer, Guido Budziak, Georg Fuchs, Dirk Hecker, Hendrik Weber, Stefan Wrobel:
Constructing Spaces and Times for Tactical Analysis in Football. IEEE Trans. Vis. Comput. Graph. 27(4): 2280-2297 (2021) - 2017
- [j4]Dirk Hecker, Inga Döbel, Stefan Rüping, Velina Schmitz:
Künstliche Intelligenz und die Potenziale des maschinellen Lernens für die Industrie. Wirtschaftsinformatik Manag. 9(5): 26-35 (2017) - 2016
- [j3]Dirk Hecker, Daniel Jeffrey Koch, Joerg Heydecke, Christoph Werkmeister:
Big-Data-Geschäftsmodelle - die drei Seiten der Medaille. Wirtschaftsinformatik Manag. 8(6): 20-30 (2016) - 2015
- [j2]Georg Fuchs, Hendrik Stange, Dirk Hecker, Natalia V. Andrienko, Gennady L. Andrienko:
Constructing semantic interpretation of routine and anomalous mobility behaviors from big data. ACM SIGSPATIAL Special 7(1): 27-34 (2015) - 2012
- [j1]Natalia V. Andrienko, Gennady L. Andrienko, Hendrik Stange, Thomas Liebig, Dirk Hecker:
Visual Analytics for Understanding Spatial Situations from Episodic Movement Data. Künstliche Intell. 26(3): 241-251 (2012)
Conference and Workshop Papers
- 2023
- [c15]Gennady L. Andrienko, Natalia V. Andrienko, Dirk Hecker:
Extracting Movement-based Topics for Analysis of Space Use. EuroVA@EuroVis 2023: 19-24 - 2020
- [c14]Christian Bauckhage, Rafet Sifa, Dirk Hecker:
tanh Neurons Are Bayesian Decision Makers. IntelliSys (3) 2020: 703-707 - 2019
- [c13]Christian Bauckhage, Nico Piatkowski, Rafet Sifa, Dirk Hecker, Stefan Wrobel:
A QUBO Formulation of the k-Medoids Problem. LWDA 2019: 54-63 - [c12]Christian Bauckhage, Rafet Sifa, Dirk Hecker, Stefan Wrobel:
Max-Sum Dispersion via Quantum Annealing. LWDA 2019: 64-68 - 2013
- [c11]Timothy Ellersiek, Gennady L. Andrienko, Natalia V. Andrienko, Dirk Hecker, Hendrik Stange, Marc Mueller:
Using Bluetooth to track mobility patterns: depicting its potential based on various case studies. ISA 2013: 1-7 - 2011
- [c10]Dirk Hecker, Christine Körner, Hendrik Stange, Daniel Schulz, Michael May:
Modeling Micro-Movement Variability in Mobility Studies. AGILE Conf. 2011: 121-140 - [c9]Dirk Hecker, Christine Körner, Michael May:
Challenges and Advantages of using GPS Data in Outdoor Advertisement. Geoinformatik 2011: 257-260 - [c8]Hendrik Stange, Thomas Liebig, Dirk Hecker, Gennady L. Andrienko, Natalia V. Andrienko:
Analytical workflow of monitoring human mobility in big event settings using Bluetooth. ISA 2011: 51-58 - [c7]Dirk Hecker, Christine Körner, Michael May:
Robustness analyses for repeated mobility surveys in outdoor advertising. ICSDM 2011: 148-153 - 2010
- [c6]Christine Körner, Dirk Hecker, Michael May, Stefan Wrobel:
Visit Potential: A Common Vocabulary for the Analysis of Entity-Location Interactions in Mobility Applications. AGILE Conf. 2010: 79-95 - [c5]Dirk Hecker, Hendrik Stange, Christine Körner, Michael May:
Sample Bias due to Missing Data in Mobility Surveys. ICDM Workshops 2010: 241-248 - 2009
- [c4]Michael May, Christine Körner, Dirk Hecker, Martial Pasquier, Urs Hofmann, Felix Mende:
Modelling Missing Values for Audience Measurement in Outdoor Advertising Using GPS Data. GI Jahrestagung 2009: 3993-4006 - [c3]Michael May, Christine Körner, Dirk Hecker, Martial Pasquier, Urs Hofmann, Felix Mende:
Handling missing values in GPS surveys using survival analysis: a GPS case study of outdoor advertising. KDD Workshop on Data Mining and Audience Intelligence for Advertising 2009: 78-84 - 2008
- [c2]Michael May, Simon Scheider, Roberto Rösler, Daniel Schulz, Dirk Hecker:
Pedestrian flow prediction in extensive road networks using biased observational data. GIS 2008: 67 - [c1]Michael May, Dirk Hecker, Christine Körner, Simon Scheider, Daniel Schulz:
A Vector-Geometry Based Spatial kNN-Algorithm for Traffic Frequency Predictions. ICDM Workshops 2008: 442-447
Parts in Books or Collections
- 2022
- [p2]Dirk Hecker, Angelika Voss, Stefan Wrobel:
Data Ecosystems: A New Dimension of Value Creation Using AI and Machine Learning. Designing Data Spaces 2022: 211-224 - 2010
- [p1]Christine Körner, Dirk Hecker, Maike Krause-Traudes, Michael May, Simon Scheider, Daniel Schulz, Hendrik Stange, Stefan Wrobel:
Spatial Data Mining in Practice: Principles and Case Studies. Data Mining for Business Applications 2010: 164-178
Informal and Other Publications
- 2024
- [i3]Michael Mock, Sebastian Schmidt, Felix Müller, Rebekka Görge, Anna Schmitz, Elena Haedecke, Angelika Voss, Dirk Hecker, Maximilian Poretschkin:
Developing trustworthy AI applications with foundation models. CoRR abs/2405.04937 (2024) - 2023
- [i2]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:
Guideline for Trustworthy Artificial Intelligence - AI Assessment Catalog. CoRR abs/2307.03681 (2023) - 2019
- [i1]Christian Bauckhage, Daniel Schulz, Dirk Hecker:
Informed Machine Learning for Industry. ERCIM News 2019(116) (2019)
Coauthor Index
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last updated on 2024-08-23 19:26 CEST by the dblp team
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