Automated Registration and Fusion of Functional and Anatomical MRI for Navigated Neurosurgery. - Torsten Rohlfing; Jürgen Beier; Jay B. West; Ulrich-Wilhelm Thomale; Thomas Liebig; Christian A. Taschner (MICCAI, 1999)

Registrierung und Fusion von funktionellen und anatomischen MRT-Daten: Quantitative Genauigkeitsanalyse und Anwendung in der navigierten Neurochirurgie. - Torsten Rohlfing; Jürgen Beier; Jay B. West; Ulrich-Wilhelm Thomale; Thomas Liebig; Christian A. Taschner (Bildverarbeitung für die Medizin, 2000)

Scalable Sparse Bayesian Network Learning for Spatial Applications. - Thomas Liebig; Christine Körner; Michael May 001 (ICDM Workshops, 2008)

Fast Visual Trajectory Analysis Using Spatial Bayesian Networks. - Thomas Liebig; Christine Körner; Michael May 001 (ICDM Workshops, 2009)

MRI plaque imaging reveals high-risk carotid plaques especially in diabetic patients irrespective of the degree of stenosis. - Lorena Esposito; T. Saam; Peter Heider; Angelina Bockelbrink; Jaroslav Pelisek; D. Sepp; Regina Feurer; Claudia Winkler; Thomas Liebig; Katrin Holzer; Olivier Pauly; Suwad Sadikovic; et al. (BMC Medical Imaging, 2010)

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)

Incorporating Mobility Patterns in Pedestrian Quantity Estimation and Sensor Placement. - Thomas Liebig; Zhao Xu 001; Michael May 001 (CitiSens, 2012)

Modelling Microscopic Pedestrian Mobility using Bluetooth. - Thomas Liebig; Armel Ulrich Kemloh Wagoum (ICAART (2), 2012)

Monitoring Microscopic Pedestrian Mobility Using Bluetooth. - Patrick Utsch; Thomas Liebig (Intelligent Environments, 2012)

Pedestrian Quantity Estimation with Trajectory Patterns. - Thomas Liebig; Zhao Xu 001; Michael May 001; Stefan Wrobel (ECML/PKDD (2), 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)

Using Data from Location Based Social Networks for Urban Activity Clustering. - Roberto Rösler; Thomas Liebig (AGILE Conf., 2013)

Report from Dagstuhl: the liberation of mobile location data and its implications for privacy research. - Gennady L. Andrienko; Aris Gkoulalas-Divanis; Marco Gruteser; Christine Kopp; Thomas Liebig; Klaus Rechert (ACM SIGMOBILE Mob. Comput. Commun. Rev., 2013)

Pedestrian Mobility Mining with Movement Patterns. - Thomas Liebig (2013)

Heterogeneous stream processing for disaster detection and alarming. - François Schnitzler; Thomas Liebig; Shie Marmor; Gustavo Souto; Sebastian Bothe; Hendrik Stange (IEEE BigData, 2014)

Heterogeneous Stream Processing and Crowdsourcing for Urban Traffic Management. - Alexander Artikis; Matthias Weidlich 001; François Schnitzler; Ioannis Boutsis; Thomas Liebig; Nico Piatkowski; Christian Bockermann; Katharina Morik; Vana Kalogeraki; Jakub Marecek; Avigdor Gal; Shie Mannor; et al. (EDBT, 2014)

Predictive Trip Planning - Smart Routing in Smart Cities. - Thomas Liebig; Nico Piatkowski; Christian Bockermann; Katharina Morik (EDBT/ICDT Workshops, 2014)

Combining a Gauss-Markov model and Gaussian process for traffic prediction in Dublin city center. - François Schnitzler; Thomas Liebig; Shie Mannor; Katharina Morik (EDBT/ICDT Workshops, 2014)

Route Planning with Real-Time Traffic Predictions. - Thomas Liebig; Nico Piatkowski; Christian Bockermann; Katharina Morik (LWA, 2014)

Heterogeneous Stream Processing and Crowdsourcing for Traffic Monitoring: Highlights. - François Schnitzler; Alexander Artikis; Matthias Weidlich 001; Ioannis Boutsis; Thomas Liebig; Nico Piatkowski; Christian Bockermann; Katharina Morik; Vana Kalogeraki; Jakub Marecek; Avigdor Gal; Shie Mannor; et al. (ECML/PKDD (3), 2014)

Privacy Preserving Centralized Counting of Moving Objects. - Thomas Liebig (AGILE Conf., 2015)

2nd International Workshop on Mining Urban Data (Preface). - Ioannis Katakis 001; François Schnitzler; Thomas Liebig (MUD@ICML, 2015)

Distributed Traffic Flow Prediction with Label Proportions: From in-Network towards High Performance Computation with MPI. - Thomas Liebig; Marco Stolpe; Katharina Morik (MUD@ICML, 2015)

Report from Dagstuhl: SocioPaths - Multimodal Door-to-Door Route Planning via Social Paths. - Thomas Liebig; Sabine Storandt; Peter Sanders 001; Walied Othman; Stefan Funke (MUD@ICML, 2015)

On Event Detection from Spatial Time Series for Urban Traffic Applications. - Gustavo Souto; Thomas Liebig (Solving Large Scale Learning Tasks, 2016)

INSIGHT: Dynamic Traffic Management Using Heterogeneous Urban Data. - Nikolaos Panagiotou; Nikolas Zygouras; Ioannis Katakis 001; Dimitrios Gunopulos; Nikos Zacheilas; Ioannis Boutsis; Vana Kalogeraki; Stephen Lynch; Brendan O'Brien; Dermot Kinane; Jakub Marecek; Jia Yuan Yu; et al. (ECML/PKDD (3), 2016)

Dynamic Transfer Patterns for Fast Multi-modal Route Planning. - Thomas Liebig; Sebastian Peter; Maciej Grzenda; Konstanty Junosza-Szaniawski (AGILE Conf., 2017)

On Avoiding Traffic Jams with Dynamic Self-Organizing Trip Planning. - Thomas Liebig; Maurice Sotzny (COSIT, 2017)

Real-Time Public Transport Delay Prediction for Situation-Aware Routing. - Lukas Heppe; Thomas Liebig (KI, 2017)

Dynamic Map Update of Non-static Facility Logistics Environment with a Multi-robot System. - Nayabrasul Shaik; Thomas Liebig; Christopher Kirsch; Heinrich Müller (KI, 2017)

Dynamic route planning with real-time traffic predictions. - Thomas Liebig; Nico Piatkowski; Christian Bockermann; Katharina Morik (Inf. Syst., 2017)

Resource-Efficient Transmission of Vehicular Sensor Data Using Context-Aware Communication. - Benjamin Sliwa; Thomas Liebig; Robert Falkenberg; Johannes Pillmann; Christian Wietfeld (MDM, 2018)

Crowd-Based Ecofriendly Trip Planning. - Dimitrios Tomaras; Vana Kalogeraki; Thomas Liebig; Dimitrios Gunopulos (MDM, 2018)

Machine Learning Based Context-Predictive Car-to-Cloud Communication Using Multi-Layer Connectivity Maps for Upcoming 5G Networks. - Benjamin Sliwa; Robert Falkenberg; Thomas Liebig; Johannes Pillmann; Christian Wietfeld (VTC Fall, 2018)

Efficient Machine-Type Communication Using Multi-Metric Context-Awareness for Cars Used as Mobile Sensors in Upcoming 5G Networks. - Benjamin Sliwa; Thomas Liebig; Robert Falkenberg; Johannes Pillmann; Christian Wietfeld (VTC Spring, 2018)

Geospatial IoT - The Need for Event-Driven Architectures in Contemporary Spatial Data Infrastructures. - Matthes Rieke; Lorenzo Bigagli; Stefan Herlé; Simon Jirka; Alexander Kotsev; Thomas Liebig; Christian Malewski; Thomas Paschke; Christoph Stasch (ISPRS Int. J. Geo Inf., 2018)

Gaussian Model Trees for Traffic Imputation. - Sebastian Buschjäger; Thomas Liebig; Katharina Morik (ICPRAM, 2019)

System-of-Systems Modeling, Analysis and Optimization of Hybrid Vehicular Traffic. - Benjamin Sliwa; Thomas Liebig; Tim Vranken; Michael Schreckenberg; Christian Wietfeld (SysCon, 2019)

Knowledge Discovery on Blockchains: Challenges and Opportunities. - Cedric Sanders; Thomas Liebig (CoRR, 2019)

Charging control of electric vehicles using contextual bandits considering the electrical distribution grid. - Christian Römer; Johannes Hiry; Chris Kittl; Thomas Liebig; Christian Rehtanz (CoRR, 2019)

Conditional Sum-Product Networks: Imposing Structure on Deep Probabilistic Architectures. - Xiaoting Shao; Alejandro Molina 001; Antonio Vergari; Karl Stelzner; Robert Peharz; Thomas Liebig; Kristian Kersting (PGM, 2020)

Knowledge Discovery on Blockchains: Challenges and Opportunities for Distributed Event Detection Under Constraints. - Cedric Sanders; Thomas Liebig (PKDD/ECML Workshops, 2020)

Boosting Vehicle-to-Cloud Communication by Machine Learning-Enabled Context Prediction. - Benjamin Sliwa; Robert Falkenberg; Thomas Liebig; Nico Piatkowski; Christian Wietfeld (IEEE Trans. Intell. Transp. Syst., 2020)

Self-Supervised Source Code Annotation from Related Research Papers. - Pierre Haritz; Lukas Pfahler; Thomas Liebig; Helena Kotthaus (ICDM (Workshops), 2021)

Differentially Private Learning from Label Proportions. - Timon Sachweh; Daniel Boiar; Thomas Liebig (PKDD/ECML Workshops (1), 2021)

Inner-City Traffic Flow Prediction with Sparse Sensors. - Thomas Liebig (Mach. Learn. under Resour. Constraints Vol. 3 (3), 2022)

Certified Data Removal in Sum-Product Networks. - Alexander Becker; Thomas Liebig (ICKG, 2022)

Forecasting Unobserved Node States with spatio-temporal Graph Neural Networks. - Andreas Roth; Thomas Liebig (ICDM (Workshops), 2022)

Distributed LSTM-Learning from Differentially Private Label Proportions. - Timon Sachweh; Daniel Boiar; Thomas Liebig (ICDM (Workshops), 2022)

Transforming PageRank into an Infinite-Depth Graph Neural Network. - Andreas Roth; Thomas Liebig (ECML/PKDD (2), 2022)

Forecasting Algae Growth in Photo-Bioreactors Using Attention LSTMs. - Daniel Boiar; Nils Killich; Lukas Schulte; Victor Hernandez Moreno; Jochen Deuse; Thomas Liebig (SEFM Workshops, 2022)

Evaluating Machine Unlearning via Epistemic Uncertainty. - Alexander Becker; Thomas Liebig (CoRR, 2022)

LOSDD: Leave-Out Support Vector Data Description for Outlier Detection. - Daniel Boiar; Thomas Liebig; Erich Schubert (CoRR, 2022)

Conditional sum-product networks: Modular probabilistic circuits via gate functions. - Xiaoting Shao; Alejandro Molina 001; Antonio Vergari; Karl Stelzner; Robert Peharz; Thomas Liebig; Kristian Kersting (Int. J. Approx. Reason., 2022)

Distilling Influences to Mitigate Prediction Churn in Graph Neural Networks. - Andreas Roth; Thomas Liebig (ACML, 2023)

Rank Collapse Causes Over-Smoothing and Over-Correlation in Graph Neural Networks. - Andreas Roth; Thomas Liebig (LoG, 2023)

Free-Energy Advantage Functions for Policy Transfer to Noisy Environments with Safety Constraints. - Pierre Haritz; Thomas Liebig (LWDA, 2023)

Curvature-Based Pooling Within Graph Neural Networks. - Cedric Sanders; Andreas Roth; Thomas Liebig (PKDD/ECML Workshops (3), 2023)

Enhancing Safety for Autonomous Agents in Partly Concealed Urban Traffic Environments Through Representation-Based Shielding. - Pierre Haritz; David Wanke; Thomas Liebig (IV, 2024)

Using Petri Nets as an Integrated Constraint Mechanism for Reinforcement Learning Tasks. - Timon Sachweh; Pierre Haritz; Thomas Liebig (IV, 2024)

Preventing Representational Rank Collapse in MPNNs by Splitting the Computational Graph. - Andreas Roth; Franka Bause; Nils Morten Kriege; Thomas Liebig (LoG, 2024)

MetaQuRe: Meta-learning from Model Quality and Resource Consumption. - Raphael Fischer 001; Marcel Wever; Sebastian Buschjäger; Thomas Liebig (ECML/PKDD (7), 2024)

AALF: Almost Always Linear Forecasting. - Matthias Jakobs; Thomas Liebig (CoRR, 2024)

ICE-T: A Multi-Faceted Concept for Teaching Machine Learning. - Hendrik Krone; Pierre Haritz; Thomas Liebig (CoRR, 2024)

The dynamics of a bicycle on a pump track - first results on modeling and optimal control. - Julian Golembiewski; Marcus Schmidt; Benedikt Terschluse; Thomas Jaitner; Thomas Liebig; Timm Faulwasser (Autom., 2024)

Towards more sustainable and trustworthy reporting in machine learning. - Raphael Fischer 001; Thomas Liebig; Katharina Morik (Data Min. Knowl. Discov., 2024)

Bridging the Communication Gap: Evaluating AI Labeling Practices for Trustworthy AI Development. - Raphael Fischer 001; Magdalena Wischnewski; Alexander Van Der Staay; Katharina Poitz; Christian Janiesch; Thomas Liebig (CoRR, 2025)

What Can We Learn From MIMO Graph Convolutions? - Andreas Roth; Thomas Liebig (CoRR, 2025)