Pedestrian flow prediction in extensive road networks using biased observational data. - Michael May 001; Simon Scheider; Roberto Rösler; Daniel Schulz; Dirk Hecker (GIS, 2008)

A Vector-Geometry Based Spatial kNN-Algorithm for Traffic Frequency Predictions. - Michael May 001; Dirk Hecker; Christine Körner; Simon Scheider; Daniel Schulz (ICDM Workshops, 2008)

Modelling Missing Values for Audience Measurement in Outdoor Advertising Using GPS Data. - Michael May 001; Christine Körner; Dirk Hecker; Martial Pasquier; Urs Hofmann; Felix Mende (GI Jahrestagung, 2009)

Handling missing values in GPS surveys using survival analysis: a GPS case study of outdoor advertising. - Michael May 001; Christine Körner; Dirk Hecker; Martial Pasquier; Urs Hofmann; Felix Mende (KDD Workshop on Data Mining and Audience Intelligence for Advertising, 2009)

Visit Potential: A Common Vocabulary for the Analysis of Entity-Location Interactions in Mobility Applications. - Christine Körner; Dirk Hecker; Michael May 001; Stefan Wrobel (AGILE Conf., 2010)

Sample Bias due to Missing Data in Mobility Surveys. - Dirk Hecker; Hendrik Stange; Christine Körner; Michael May 001 (ICDM Workshops, 2010)

Spatial Data Mining in Practice: Principles and Case Studies. - Christine Körner; Dirk Hecker; Maike Krause-Traudes; Michael May 001; Simon Scheider; Daniel Schulz; Hendrik Stange; Stefan Wrobel (Data Mining for Business Applications, 2010)

Modeling Micro-Movement Variability in Mobility Studies. - Dirk Hecker; Christine Körner; Hendrik Stange; Daniel Schulz; Michael May 001 (AGILE Conf., 2011)

Challenges and Advantages of using GPS Data in Outdoor Advertisement. - Dirk Hecker; Christine Körner; Michael May 001 (Geoinformatik, 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 (ISA, 2011)

Robustness analyses for repeated mobility surveys in outdoor advertising. - Dirk Hecker; Christine Körner; Michael May 001 (ICSDM, 2011)

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)

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 (ISA, 2013)

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)

Big-Data-Geschäftsmodelle - die drei Seiten der Medaille. - Dirk Hecker; Daniel Jeffrey Koch; Joerg Heydecke; Christoph Werkmeister (Wirtschaftsinformatik Manag., 2016)

Künstliche Intelligenz und die Potenziale des maschinellen Lernens für die Industrie. - Dirk Hecker; Inga Döbel; Stefan Rüping 001; Velina Schmitz (Wirtschaftsinformatik Manag., 2017)

A QUBO Formulation of the k-Medoids Problem. - Christian Bauckhage; Nico Piatkowski; Rafet Sifa; Dirk Hecker; Stefan Wrobel (LWDA, 2019)

Max-Sum Dispersion via Quantum Annealing. - Christian Bauckhage; Rafet Sifa; Dirk Hecker; Stefan Wrobel (LWDA, 2019)

Informed Machine Learning for Industry. - Christian Bauckhage; Daniel Schulz; Dirk Hecker (ERCIM News, 2019)

tanh Neurons Are Bayesian Decision Makers. - Christian Bauckhage; Rafet Sifa; Dirk Hecker (IntelliSys (3), 2020)

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)

Data Ecosystems: A New Dimension of Value Creation Using AI and Machine Learning. - Dirk Hecker; Angelika Voss; Stefan Wrobel (Designing Data Spaces, 2022)

The why and how of trustworthy AI. - Anna Schmitz 001; Maram Akila; Dirk Hecker; Maximilian Poretschkin; Stefan Wrobel (Autom., 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)

Extracting Movement-based Topics for Analysis of Space Use. - Gennady L. Andrienko; Natalia V. Andrienko; Dirk Hecker (EuroVA@EuroVis, 2023)

Reinforcement Learning for Segmented Manufacturing. - Nathalie Paul; Alexander Kister; Thorben Schnellhardt; Maximilian Fetz; Dirk Hecker; Tim Wirtz (PKDD/ECML Workshops (4), 2023)

Guideline for Trustworthy Artificial Intelligence - AI Assessment Catalog. - Maximilian Poretschkin; Anna Schmitz 001; Maram Akila; Linara Adilova; Daniel Becker 010; Armin B. Cremers; Dirk Hecker; Sebastian Houben; Michael Mock; Julia Rosenzweig; Joachim Sicking; Elena Schulz; et al. (CoRR, 2023)

Big Data 2.0 - mit synthetischen Daten KI-Systeme stärken. - Dirk Hecker; Angi Voss; Gerhard Paaß; Tim Wirtz (Wirtschaftsinformatik Manag., 2023)

Topic modelling for spatial insights: Uncovering space use from movement data. - Gennady L. Andrienko; Natalia V. Andrienko; Dirk Hecker (Comput. Graph., 2024)

Developing trustworthy AI applications with foundation models. - Michael Mock; Sebastian Schmidt; Felix Müller; Rebekka Görge; Anna Schmitz 001; Elena Haedecke; Angelika Voss; Dirk Hecker; Maximilian Poretschkin (CoRR, 2024)