Thomas Liebig

Orcid: 0000-0002-9841-1101

Affiliations:
  • TU Dortmund University - Artificial Intelligence Unit


According to our database1, Thomas Liebig authored at least 59 papers between 1999 and 2024.

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Bibliography

2024
The dynamics of a bicycle on a pump track - first results on modeling and optimal control.
Autom., January, 2024

2023
Distilling Influences to Mitigate Prediction Churn in Graph Neural Networks.
CoRR, 2023

Rank Collapse Causes Over-Smoothing and Over-Correlation in Graph Neural Networks.
CoRR, 2023

Curvature-based Pooling within Graph Neural Networks.
CoRR, 2023

Free-Energy Advantage Functions for Policy Transfer to Noisy Environments with Safety Constraints.
Proceedings of the Lernen, 2023

2022
Conditional sum-product networks: Modular probabilistic circuits via gate functions.
Int. J. Approx. Reason., 2022

LOSDD: Leave-Out Support Vector Data Description for Outlier Detection.
CoRR, 2022

Evaluating Machine Unlearning via Epistemic Uncertainty.
CoRR, 2022

Forecasting Algae Growth in Photo-Bioreactors Using Attention LSTMs.
Proceedings of the Software Engineering and Formal Methods. SEFM 2022 Collocated Workshops, 2022

Transforming PageRank into an Infinite-Depth Graph Neural Network.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Distributed LSTM-Learning from Differentially Private Label Proportions.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2022

Forecasting Unobserved Node States with spatio-temporal Graph Neural Networks.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2022

Certified Data Removal in Sum-Product Networks.
Proceedings of the IEEE International Conference on Knowledge Graph, 2022

Inner-City Traffic Flow Prediction with Sparse Sensors.
Proceedings of the Machine Learning under Resource Constraints - Volume 3: Applications, 2022

2021
Differentially Private Learning from Label Proportions.
Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2021

Self-Supervised Source Code Annotation from Related Research Papers.
Proceedings of the 2021 International Conference on Data Mining, 2021

2020
Boosting Vehicle-to-Cloud Communication by Machine Learning-Enabled Context Prediction.
IEEE Trans. Intell. Transp. Syst., 2020

Knowledge Discovery on Blockchains: Challenges and Opportunities for Distributed Event Detection Under Constraints.
Proceedings of the ECML PKDD 2020 Workshops, 2020

Conditional Sum-Product Networks: Imposing Structure on Deep Probabilistic Architectures.
Proceedings of the International Conference on Probabilistic Graphical Models, 2020

2019
Charging control of electric vehicles using contextual bandits considering the electrical distribution grid.
CoRR, 2019

Knowledge Discovery on Blockchains: Challenges and Opportunities.
CoRR, 2019

System-of-Systems Modeling, Analysis and Optimization of Hybrid Vehicular Traffic.
Proceedings of the 2019 IEEE International Systems Conference, 2019

Gaussian Model Trees for Traffic Imputation.
Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods, 2019

2018
Geospatial IoT - The Need for Event-Driven Architectures in Contemporary Spatial Data Infrastructures.
ISPRS Int. J. Geo Inf., 2018

Efficient Machine-Type Communication Using Multi-Metric Context-Awareness for Cars Used as Mobile Sensors in Upcoming 5G Networks.
Proceedings of the 87th IEEE Vehicular Technology Conference, 2018

Machine Learning Based Context-Predictive Car-to-Cloud Communication Using Multi-Layer Connectivity Maps for Upcoming 5G Networks.
Proceedings of the 88th IEEE Vehicular Technology Conference, 2018

Crowd-Based Ecofriendly Trip Planning.
Proceedings of the 19th IEEE International Conference on Mobile Data Management, 2018

Resource-Efficient Transmission of Vehicular Sensor Data Using Context-Aware Communication.
Proceedings of the 19th IEEE International Conference on Mobile Data Management, 2018

2017
Dynamic route planning with real-time traffic predictions.
Inf. Syst., 2017

Dynamic Map Update of Non-static Facility Logistics Environment with a Multi-robot System.
Proceedings of the KI 2017: Advances in Artificial Intelligence, 2017

Real-Time Public Transport Delay Prediction for Situation-Aware Routing.
Proceedings of the KI 2017: Advances in Artificial Intelligence, 2017

On Avoiding Traffic Jams with Dynamic Self-Organizing Trip Planning.
Proceedings of the 13th International Conference on Spatial Information Theory, 2017

Dynamic Transfer Patterns for Fast Multi-modal Route Planning.
Proceedings of the Societal Geo-innovation, 2017

2016

On Event Detection from Spatial Time Series for Urban Traffic Applications.
Proceedings of the Solving Large Scale Learning Tasks. Challenges and Algorithms, 2016

2015
Report from Dagstuhl: SocioPaths - Multimodal Door-to-Door Route Planning via Social Paths.
Proceedings of the 2nd International Workshop on Mining Urban Data co-located with 32nd International Conference on Machine Learning (ICML 2015), 2015

Distributed Traffic Flow Prediction with Label Proportions: From in-Network towards High Performance Computation with MPI.
Proceedings of the 2nd International Workshop on Mining Urban Data co-located with 32nd International Conference on Machine Learning (ICML 2015), 2015

2nd International Workshop on Mining Urban Data (Preface).
Proceedings of the 2nd International Workshop on Mining Urban Data co-located with 32nd International Conference on Machine Learning (ICML 2015), 2015

Privacy Preserving Centralized Counting of Moving Objects.
Proceedings of the AGILE 2015, 2015

2014
Heterogeneous Stream Processing and Crowdsourcing for Traffic Monitoring: Highlights.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

Route Planning with Real-Time Traffic Predictions.
Proceedings of the 16th LWA Workshops: KDML, 2014

Combining a Gauss-Markov model and Gaussian process for traffic prediction in Dublin city center.
Proceedings of the Workshops of the EDBT/ICDT 2014 Joint Conference (EDBT/ICDT 2014), 2014

Predictive Trip Planning - Smart Routing in Smart Cities.
Proceedings of the Workshops of the EDBT/ICDT 2014 Joint Conference (EDBT/ICDT 2014), 2014

Heterogeneous Stream Processing and Crowdsourcing for Urban Traffic Management.
Proceedings of the 17th International Conference on Extending Database Technology, 2014

Heterogeneous stream processing for disaster detection and alarming.
Proceedings of the 2014 IEEE International Conference on Big Data (IEEE BigData 2014), 2014

2013
Pedestrian Mobility Mining with Movement Patterns.
PhD thesis, 2013

Report from Dagstuhl: the liberation of mobile location data and its implications for privacy research.
ACM SIGMOBILE Mob. Comput. Commun. Rev., 2013

Using Data from Location Based Social Networks for Urban Activity Clustering.
Proceedings of the Geographic Information Science at the Heart of Europe, 2013

2012
Visual Analytics for Understanding Spatial Situations from Episodic Movement Data.
Künstliche Intell., 2012

Pedestrian Quantity Estimation with Trajectory Patterns.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012

Monitoring Microscopic Pedestrian Mobility Using Bluetooth.
Proceedings of the 2012 Eighth International Conference on Intelligent Environments, 2012

Modelling Microscopic Pedestrian Mobility using Bluetooth.
Proceedings of the ICAART 2012 - Proceedings of the 4th International Conference on Agents and Artificial Intelligence, Volume 2, 2012

Incorporating Mobility Patterns in Pedestrian Quantity Estimation and Sensor Placement.
Proceedings of the Citizen in Sensor Networks - First International Workshop, 2012

2011
Analytical workflow of monitoring human mobility in big event settings using Bluetooth.
Proceedings of the Indoor Spatial Awareness, 2011

2010
MRI plaque imaging reveals high-risk carotid plaques especially in diabetic patients irrespective of the degree of stenosis.
BMC Medical Imaging, 2010

2009
Fast Visual Trajectory Analysis Using Spatial Bayesian Networks.
Proceedings of the ICDM Workshops 2009, 2009

2008
Scalable Sparse Bayesian Network Learning for Spatial Applications.
Proceedings of the Workshops Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

2000
Registrierung und Fusion von funktionellen und anatomischen MRT-Daten: Quantitative Genauigkeitsanalyse und Anwendung in der navigierten Neurochirurgie.
Proceedings of the Bildverarbeitung für die Medizin 2000: Algorithmen, 2000

1999
Automated Registration and Fusion of Functional and Anatomical MRI for Navigated Neurosurgery.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 1999


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