Dirk Hecker

30 papers Journal 12Unranked 16
YearRankTypeTitle / Venue / Authors
2024 J jnl
Developing trustworthy AI applications with foundation models.
CoRR
Michael Mock, Sebastian Schmidt, Felix Müller, Rebekka Görge, Anna Schmitz, Elena Haedecke, Angelika Voss, Dirk Hecker, Maximilian Poretschkin
2024 J jnl
Topic modelling for spatial insights: Uncovering space use from movement data.
Comput. Graph.
Gennady L. Andrienko, Natalia V. Andrienko, Dirk Hecker
2023 J jnl
Big Data 2.0 - mit synthetischen Daten KI-Systeme stärken.
Wirtschaftsinformatik Manag.
Dirk Hecker, Angi Voss, Gerhard Paaß, Tim Wirtz
2023 — conf
Extracting Movement-based Topics for Analysis of Space Use.
EuroVA@EuroVis
Gennady L. Andrienko, Natalia V. Andrienko, Dirk Hecker
2023 J jnl
Guideline for Trustworthy Artificial Intelligence - AI Assessment Catalog.
CoRR
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
2023 — conf
Reinforcement Learning for Segmented Manufacturing.
PKDD/ECML Workshops (4)
Nathalie Paul, Alexander Kister, Thorben Schnellhardt, Maximilian Fetz, Dirk Hecker, Tim Wirtz
2022 — ch.
Data Ecosystems: A New Dimension of Value Creation Using AI and Machine Learning.
Designing Data Spaces
Dirk Hecker, Angelika Voss, Stefan Wrobel
2022 J jnl
Supporting Visual Exploration of Iterative Job Scheduling.
IEEE Computer Graphics and Applications
Gennady L. Andrienko, Natalia V. Andrienko, Jose Manuel Cordero Garcia, Dirk Hecker, George A. Vouros
2022 J jnl
The why and how of trustworthy AI.
Autom.
Anna Schmitz, Maram Akila, Dirk Hecker, Maximilian Poretschkin, Stefan Wrobel
2021 J jnl
Constructing Spaces and Times for Tactical Analysis in Football.
IEEE Trans. Vis. Comput. Graph.
Gennady L. Andrienko, Natalia V. Andrienko, Gabriel Anzer, Pascal Bauer, Guido Budziak, Georg Fuchs, Dirk Hecker, Hendrik Weber, Stefan Wrobel
2020 — conf
tanh Neurons Are Bayesian Decision Makers.
IntelliSys (3)
Christian Bauckhage, Rafet Sifa, Dirk Hecker
2019 — conf
A QUBO Formulation of the k-Medoids Problem.
LWDA
Christian Bauckhage, Nico Piatkowski, Rafet Sifa, Dirk Hecker, Stefan Wrobel
2019 J jnl
Informed Machine Learning for Industry.
ERCIM News
Christian Bauckhage, Daniel Schulz, Dirk Hecker
2019 — conf
Max-Sum Dispersion via Quantum Annealing.
LWDA
Christian Bauckhage, Rafet Sifa, Dirk Hecker, Stefan Wrobel
2017 J jnl
Künstliche Intelligenz und die Potenziale des maschinellen Lernens für die Industrie.
Wirtschaftsinformatik Manag.
Dirk Hecker, Inga Döbel, Stefan Rüping, Velina Schmitz
2016 J jnl
Big-Data-Geschäftsmodelle - die drei Seiten der Medaille.
Wirtschaftsinformatik Manag.
Dirk Hecker, Daniel Jeffrey Koch, Joerg Heydecke, Christoph Werkmeister
2015 J jnl
Constructing semantic interpretation of routine and anomalous mobility behaviors from big data.
ACM SIGSPATIAL Special
Georg Fuchs, Hendrik Stange, Dirk Hecker, Natalia V. Andrienko, Gennady L. Andrienko
2013 — conf
Using Bluetooth to track mobility patterns: depicting its potential based on various case studies.
ISA
Timothy Ellersiek, Gennady L. Andrienko, Natalia V. Andrienko, Dirk Hecker, Hendrik Stange, Marc Mueller
2012 J jnl
Visual Analytics for Understanding Spatial Situations from Episodic Movement Data.
Künstliche Intell.
Natalia V. Andrienko, Gennady L. Andrienko, Hendrik Stange, Thomas Liebig, Dirk Hecker
2011 — conf
Analytical workflow of monitoring human mobility in big event settings using Bluetooth.
ISA
Hendrik Stange, Thomas Liebig, Dirk Hecker, Gennady L. Andrienko, Natalia V. Andrienko
2011 — conf
Challenges and Advantages of using GPS Data in Outdoor Advertisement.
Geoinformatik
Dirk Hecker, Christine Körner, Michael May
2011 — conf
Modeling Micro-Movement Variability in Mobility Studies.
AGILE Conf.
Dirk Hecker, Christine Körner, Hendrik Stange, Daniel Schulz, Michael May
2011 — conf
Robustness analyses for repeated mobility surveys in outdoor advertising.
ICSDM
Dirk Hecker, Christine Körner, Michael May
2010 — conf
Sample Bias due to Missing Data in Mobility Surveys.
ICDM Workshops
Dirk Hecker, Hendrik Stange, Christine Körner, Michael May
2010 — ch.
Spatial Data Mining in Practice: Principles and Case Studies.
Data Mining for Business Applications
Christine Körner, Dirk Hecker, Maike Krause-Traudes, Michael May, Simon Scheider, Daniel Schulz, Hendrik Stange, Stefan Wrobel
2010 — conf
Visit Potential: A Common Vocabulary for the Analysis of Entity-Location Interactions in Mobility Applications.
AGILE Conf.
Christine Körner, Dirk Hecker, Michael May, Stefan Wrobel
2009 — conf
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
Michael May, Christine Körner, Dirk Hecker, Martial Pasquier, Urs Hofmann, Felix Mende
2009 — conf
Modelling Missing Values for Audience Measurement in Outdoor Advertising Using GPS Data.
GI Jahrestagung
Michael May, Christine Körner, Dirk Hecker, Martial Pasquier, Urs Hofmann, Felix Mende
2008 — conf
A Vector-Geometry Based Spatial kNN-Algorithm for Traffic Frequency Predictions.
ICDM Workshops
Michael May, Dirk Hecker, Christine Körner, Simon Scheider, Daniel Schulz
2008 — conf
Pedestrian flow prediction in extensive road networks using biased observational data.
GIS
Michael May, Simon Scheider, Roberto Rösler, Daniel Schulz, Dirk Hecker