Heiner Stuckenschmidt

ORCID

Publication Activity (10 Years)

Years Active: 1997-2024
Publications (10 Years): 153

Top Venues

Publications

Jan Martin Spreitzenbarth, Christoph Bode, Heiner Stuckenschmidt
Designing an AI purchasing requisition bundling generator. Comput. Ind. 155 (2024)
Christian Schreckenberger, Yi He, Stefan Lüdtke, Christian Bartelt, Heiner Stuckenschmidt
Online Random Feature Forests for Learning in Varying Feature Spaces. AAAI (2023)
Kilian Theil, Dirk Hovy, Heiner Stuckenschmidt
Top-Down Influence? Predicting CEO Personality and Risk Impact from Speech Transcripts. ICWSM (2023)
Stefan Lüdtke, Christian Bartelt, Heiner Stuckenschmidt
Outlying Aspect Mining via Sum-Product Networks. PAKDD (1) (2023)
Yi He, Christian Schreckenberger, Heiner Stuckenschmidt, Xindong Wu
Towards Utilitarian Online Learning - A Review of Online Algorithms in Open Feature Space. IJCAI (2023)
David Friede, Christian Reimers, Heiner Stuckenschmidt, Mathias Niepert
Learning Disentangled Discrete Representations. CoRR (2023)
Julia Gastinger, Timo Sztyler, Lokesh Sharma, Anett Schuelke, Heiner Stuckenschmidt
Comparing Apples and Oranges? On the Evaluation of Methods for Temporal Knowledge Graph Forecasting. ECML/PKDD (3) (2023)
Patrick Betz, Stefan Lüdtke, Christian Meilicke, Heiner Stuckenschmidt
On the Aggregation of Rules for Knowledge Graph Completion. CoRR (2023)
David Friede, Christian Reimers, Heiner Stuckenschmidt, Mathias Niepert
Learning Disentangled Discrete Representations. ECML/PKDD (4) (2023)
Sascha Marton, Stefan Lüdtke, Christian Bartelt, Heiner Stuckenschmidt
GRANDE: Gradient-Based Decision Tree Ensembles. CoRR (2023)
Bernhard Schäfer, Han van der Aa, Henrik Leopold, Heiner Stuckenschmidt
Sketch2Process: End-to-End BPMN Sketch Recognition Based on Neural Networks. IEEE Trans. Software Eng. 49 (4) (2023)
Nils Wilken, Lea Cohausz, Johannes Schaum, Stefan Lüdtke, Christian Bartelt, Heiner Stuckenschmidt
Leveraging Planning Landmarks for Hybrid Online Goal Recognition. CoRR (2023)
Nils Wilken, Lea Cohausz, Christian Bartelt, Heiner Stuckenschmidt
Planning Landmark Based Goal Recognition Revisited: Does Using Initial State Landmarks Make Sense? KI (2023)
Nils Wilken, Lea Cohausz, Johannes Schaum, Stefan Lüdtke, Heiner Stuckenschmidt
Investigating the Combination of Planning-Based and Data-Driven Methods for Goal Recognition. CoRR (2023)
Nils Wilken, Lea Cohausz, Christian Bartelt, Heiner Stuckenschmidt
Planning Landmark Based Goal Recognition Revisited: Does Using Initial State Landmarks Make Sense? CoRR (2023)
Jan Spreitzenbarth, Heiner Stuckenschmidt, Christoph Bode
Designing an AI-enabled Bundling Generator in an Automotive Case Study. HICSS (2023)
Simon Ott, Patrick Betz, Daria Stepanova, Mohamed H. Gad-Elrab, Christian Meilicke, Heiner Stuckenschmidt
Rule-based Knowledge Graph Completion with Canonical Models. CIKM (2023)
Sascha Marton, Stefan Lüdtke, Christian Bartelt, Heiner Stuckenschmidt
Learning Decision Trees with Gradient Descent. CoRR (2023)
Diana Sola, Han van der Aa, Christian Meilicke, Heiner Stuckenschmidt
Activity Recommendation for Business Process Modeling with Pre-trained Language Models. ESWC (2023)
Christian Schreckenberger, Christian Bartelt, Heiner Stuckenschmidt
Dynamic Forest for Learning from Data Streams with Varying Feature Spaces. CoopIS (2022)
Sarah Alturki, Lea Cohausz, Heiner Stuckenschmidt
Predicting Master's students' academic performance: an empirical study in Germany. Smart Learn. Environ. 9 (1) (2022)
Michael Oesterle, Christian Bartelt, Stefan Lüdtke, Heiner Stuckenschmidt
Self-learning Governance of Black-Box Multi-Agent Systems. COINE (2022)
Patrick Betz, Christian Meilicke, Heiner Stuckenschmidt
Supervised Knowledge Aggregation for Knowledge Graph Completion. ESWC (2022)
Fabian Burzlaff, Nils Wilken, Christian Bartelt, Heiner Stuckenschmidt
Semantic Interoperability Methods for Smart Service Systems: A Survey. IEEE Trans. Engineering Management 69 (6) (2022)
Christoph Kilian Theil, Dirk Hovy, Heiner Stuckenschmidt
Top-Down Influence? Predicting CEO Personality and Risk Impact from Speech Transcripts. CoRR (2022)
Patrick Betz, Christian Meilicke, Heiner Stuckenschmidt
Adversarial Explanations for Knowledge Graph Embeddings. IJCAI (2022)
Jakob Kappenberger, Kilian Theil, Heiner Stuckenschmidt
Evaluating the Impact of AI-Based Priced Parking with Social Simulation. SocInfo (2022)
Sarah Alturki, Ioana Hulpus, Heiner Stuckenschmidt
Predicting Academic Outcomes: A Survey from 2007 Till 2018. Technol. Knowl. Learn. 27 (1) (2022)
Sascha Marton, Stefan Lüdtke, Christian Bartelt, Andrej Tschalzev, Heiner Stuckenschmidt
Explaining Neural Networks without Access to Training Data. CoRR (2022)
Diana Sola, Han van der Aa, Christian Meilicke, Heiner Stuckenschmidt
Exploiting label semantics for rule-based activity recommendation in business process modeling. Inf. Syst. 108 (2022)
Lea Cohausz, Nils Wilken, Heiner Stuckenschmidt
Plan-Similarity Based Heuristics for Goal Recognition. PerCom Workshops (2022)
Stefan Lüdtke, Christian Bartelt, Heiner Stuckenschmidt
Outlier Explanation via Sum-Product Networks. CoRR (2022)
Stefan Lüdtke, Christian Bartelt, Heiner Stuckenschmidt
Exchangeability-Aware Sum-Product Networks. IJCAI (2022)
Nils Wilken, Heiner Stuckenschmidt
Combining Symbolic and Statistical Knowledge for Goal Recognition in Smart Home Environments. PerCom Workshops (2021)
Oliver Frendo, Nadine Gaertner, Heiner Stuckenschmidt
Open Source Algorithm for Smart Charging of Electric Vehicle Fleets. IEEE Trans. Ind. Informatics 17 (9) (2021)
Stefan Lüdtke, Christian Bartelt, Heiner Stuckenschmidt
Exchangeability-Aware Sum-Product Networks. CoRR (2021)
Noah Metzger, Lars Hoffmann, Christian Bartelt, Heiner Stuckenschmidt, Michael Wommer, Maria Belen Bescos del Castillo
Towards Trace-Graphs for Data-driven Test Case Mining in the Domain of Automated Driving. AITest (2021)
Michael Pernpeintner, Christian Bartelt, Heiner Stuckenschmidt
Governing Black-Box Agents in Competitive Multi-Agent Systems. EUMAS (2021)
Bernhard Schäfer, Han van der Aa, Henrik Leopold, Heiner Stuckenschmidt
Sketch2BPMN: Automatic Recognition of Hand-Drawn BPMN Models. CAiSE (2021)
Oliver Frendo, Nadine Gaertner, Heiner Stuckenschmidt
Improving Smart Charging Prioritization by Predicting Electric Vehicle Departure Time. IEEE Trans. Intell. Transp. Syst. 22 (10) (2021)
Diana Sola, Christian Meilicke, Han van der Aa, Heiner Stuckenschmidt
A Rule-Based Recommendation Approach for Business Process Modeling. CAiSE (2021)
Nils Wilken, Heiner Stuckenschmidt, Christian Bartelt
Combining Symbolic and Data-Driven Methods for Goal Recognition. PerCom Workshops (2021)
Diana Sola, Christian Meilicke, Han van der Aa, Heiner Stuckenschmidt
On the Use of Knowledge Graph Completion Methods for Activity Recommendation in Business Process Modeling. Business Process Management Workshops (2021)
Bernhard Schäfer, Margret Keuper, Heiner Stuckenschmidt
Arrow R-CNN for handwritten diagram recognition. Int. J. Document Anal. Recognit. 24 (1) (2021)
Lars Hoffmann, Christian Bartelt, Heiner Stuckenschmidt
Knowledge Injection via ML-based Initialization of Neural Networks. CIKM Workshops (2021)
Bernhard Schäfer, Heiner Stuckenschmidt
DiagramNet: Hand-Drawn Diagram Recognition Using Visual Arrow-Relation Detection. ICDAR (1) (2021)
Christian Meilicke, Patrick Betz, Heiner Stuckenschmidt
Why a Naive Way to Combine Symbolic and Latent Knowledge Base Completion Works Surprisingly Well. AKBC (2021)
Gabriele Civitarese, Timo Sztyler, Daniele Riboni, Claudio Bettini, Heiner Stuckenschmidt
POLARIS: Probabilistic and Ontological Activity Recognition in Smart-Homes. IEEE Trans. Knowl. Data Eng. 33 (1) (2021)
Federico Nanni, Goran Glavas, Ines Rehbein, Simone Paolo Ponzetto, Heiner Stuckenschmidt
Political Text Scaling Meets Computational Semantics. Trans. Data Sci. 2 (4) (2021)
Ines Rehbein, Simone Paolo Ponzetto, Anna Adendorf, Oke Bahnsen, Lukas Stoetzer, Heiner Stuckenschmidt
Come hither or go away? Recognising pre-electoral coalition signals in the news. EMNLP (1) (2021)
Taha Alhersh, Heiner Stuckenschmidt, Atiq ur Rehman, Samir Brahim Belhaouari
Learning Human Activity From Visual Data Using Deep Learning. IEEE Access 9 (2021)
Patrick Betz, Mathias Niepert, Pasquale Minervini, Heiner Stuckenschmidt
Backpropagating through Markov Logic Networks. NeSy (2021)
Ioana Hulpus, Jonathan Kobbe, Heiner Stuckenschmidt, Graeme Hirst
Knowledge Graphs meet Moral Values. *SEM@COLING (2020)
Jovita Lukasik, David Friede, Heiner Stuckenschmidt, Margret Keuper
Neural Architecture Performance Prediction Using Graph Neural Networks. CoRR (2020)
Taha Alhersh, Samir Brahim Belhaouari, Heiner Stuckenschmidt
Metrics Performance Analysis of Optical Flow. VISIGRAPP (4: VISAPP) (2020)
Christian Meilicke, Melisachew Wudage Chekol, Manuel Fink, Heiner Stuckenschmidt
Reinforced Anytime Bottom Up Rule Learning for Knowledge Graph Completion. CoRR (2020)
Jovita Lukasik, David Friede, Heiner Stuckenschmidt, Margret Keuper
Neural Architecture Performance Prediction Using Graph Neural Networks. GCPR (2020)
Jonathan Kobbe, Ioana Hulpus, Heiner Stuckenschmidt
Unsupervised stance detection for arguments from consequences. EMNLP (1) (2020)
Manuel Fink, Christian Meilicke, Heiner Stuckenschmidt
Explaining Differences Between Unaligned Table Snapshots. EDBT (2020)
Christian Schreckenberger, Christian Bartelt, Heiner Stuckenschmidt
Robust Decision Tree Induction from Unreliable Data Sources. STAIRS@ECAI (2020)
Maria Becker, Ioana Hulpus, Juri Opitz, Debjit Paul, Jonathan Kobbe, Heiner Stuckenschmidt, Anette Frank
Explaining Arguments with Background Knowledge. Datenbank-Spektrum 20 (2) (2020)
Christoph Kilian Theil, Sanja Stajner, Heiner Stuckenschmidt
Explaining Financial Uncertainty through Specialized Word Embeddings. Trans. Data Sci. 1 (1) (2020)
Christian Bartelt, Sascha Marton, Heiner Stuckenschmidt
xRAI: Explainable Representations through AI. CoRR (2020)
Christian Schreckenberger, Tim Glockner, Heiner Stuckenschmidt, Christian Bartelt
Restructuring of Hoeffding Trees for Trapezoidal Data Streams. ICDM (Workshops) (2020)
Jovita Lukasik, David Friede, Arber Zela, Heiner Stuckenschmidt, Frank Hutter, Margret Keuper
Smooth Variational Graph Embeddings for Efficient Neural Architecture Search. CoRR (2020)
Alexander Diete, Timo Sztyler, Heiner Stuckenschmidt
Vision and Acceleration Modalities: Partners for Recognizing Complex Activities. PerCom Workshops (2019)
Taha Alhersh, Heiner Stuckenschmidt
On the Combination of IMU and Optical Flow for Action Recognition. PerCom Workshops (2019)
Christian Schreckenberger, Christian Bartelt, Heiner Stuckenschmidt
Enhancing a Crowd-based Delivery Network with Mobility Predictions. PredictGIS@SIGSPATIAL (2019)
Melisachew Wudage Chekol, Heiner Stuckenschmidt
Leveraging Graph Neighborhoods for Efficient Inference. CIKM (2019)
Federico Nanni, Goran Glavas, Simone Paolo Ponzetto, Heiner Stuckenschmidt
Political Text Scaling Meets Computational Semantics. CoRR (2019)
Taha Alhersh, Samir Brahim Belhaouari, Heiner Stuckenschmidt
Action Recognition Using Local Visual Descriptors and Inertial Data. AmI (2019)
Jonathan Kobbe, Juri Opitz, Maria Becker, Ioana Hulpus, Heiner Stuckenschmidt, Anette Frank
Exploiting Background Knowledge for Argumentative Relation Classification. LDK (2019)
Ioana Hulpus, Sanja Stajner, Heiner Stuckenschmidt
A Spreading Activation Framework for Tracking Conceptual Complexity of Texts. ACL (1) (2019)
Christian Schreckenberger, Christian Bartelt, Heiner Stuckenschmidt
iDropout: Leveraging Deep Taylor Decomposition for the Robustness of Deep Neural Networks. OTM Conferences (2019)
Christian Krupitzer, Timo Sztyler, Janick Edinger, Martin Breitbach, Heiner Stuckenschmidt, Christian Becker
Beyond position-awareness - Extending a self-adaptive fall detection system. Pervasive Mob. Comput. 58 (2019)
Alexander Diete, Heiner Stuckenschmidt
Fusing Object Information and Inertial Data for Activity Recognition. Sensors 19 (19) (2019)
Jakob Huber, Sebastian Müller, Moritz Fleischmann, Heiner Stuckenschmidt
A data-driven newsvendor problem: From data to decision. Eur. J. Oper. Res. 278 (3) (2019)
Christoph Kilian Theil, Samuel Broscheit, Heiner Stuckenschmidt
PRoFET: Predicting the Risk of Firms from Event Transcripts. IJCAI (2019)
David Friede, Jovita Lukasik, Heiner Stuckenschmidt, Margret Keuper
A Variational-Sequential Graph Autoencoder for Neural Architecture Performance Prediction. CoRR (2019)
Oliver Frendo, Nadine Gaertner, Heiner Stuckenschmidt
Real-Time Smart Charging Based on Precomputed Schedules. IEEE Trans. Smart Grid 10 (6) (2019)
Ioana Hulpus, Jonathan Kobbe, Christian Meilicke, Heiner Stuckenschmidt, Maria Becker, Juri Opitz, Vivi Nastase, Anette Frank
Towards Explaining Natural Language Arguments with Background Knowledge. PROFILES/SEMEX@ISWC (2019)
Christian Meilicke, Melisachew Wudage Chekol, Daniel Ruffinelli, Heiner Stuckenschmidt
Anytime Bottom-Up Rule Learning for Knowledge Graph Completion. IJCAI (2019)
Bernhard Schäfer, Heiner Stuckenschmidt
Arrow R-CNN for Flowchart Recognition. GREC@ICDAR (2019)
Taha Alhersh, Heiner Stuckenschmidt
Unsupervised Fine-tuning of Optical Flow for Better Motion Boundary Estimation. VISIGRAPP (5: VISAPP) (2019)
Gabriele Civitarese, Claudio Bettini, Timo Sztyler, Daniele Riboni, Heiner Stuckenschmidt
: Collaborative active learning for knowledge-based probabilistic activity recognition. Pervasive Mob. Comput. 56 (2019)
Melisachew Wudage Chekol, Giuseppe Pirrò, Heiner Stuckenschmidt
Fast Interval Joins for Temporal SPARQL Queries. WWW (Companion Volume) (2019)
Melisachew Wudage Chekol, Heiner Stuckenschmidt
Time-Aware Probabilistic Knowledge Graphs. TIME (2019)
Christian Meilicke, Melisachew Wudage Chekol, Daniel Ruffinelli, Heiner Stuckenschmidt
An Introduction to AnyBURL. KI (2019)
Christian Meilicke, Manuel Fink, Yanjie Wang, Daniel Ruffinelli, Rainer Gemulla, Heiner Stuckenschmidt
Fine-Grained Evaluation of Rule- and Embedding-Based Systems for Knowledge Graph Completion. ISWC (1) (2018)
Fabian Burzlaff, Christian Bartelt, Heiner Stuckenschmidt
Next Steps in Knowledge-driven Architecture Composition. LWDA (2018)
Melisachew Wudage Chekol, Heiner Stuckenschmidt
Towards Probabilistic Bitemporal Knowledge Graphs. WWW (Companion Volume) (2018)
Timo Sztyler, Gabriele Civitarese, Heiner Stuckenschmidt
Modeling and Reasoning with ProbLog: An Application in Recognizing Complex Activities. PerCom Workshops (2018)
Elena Kuss, Henrik Leopold, Han van der Aa, Heiner Stuckenschmidt, Hajo A. Reijers
A probabilistic evaluation procedure for process model matching techniques. Data Knowl. Eng. 117 (2018)
Joerg Schoenfisch, Christian Meilicke, Janno von Stülpnagel, Jens Ortmann, Heiner Stuckenschmidt
Root cause analysis in IT infrastructures using ontologies and abduction in Markov Logic Networks. Inf. Syst. 74 (Part) (2018)
Christian Krupitzer, Timo Sztyler, Janick Edinger, Martin Breitbach, Heiner Stuckenschmidt, Christian Becker
Hips Do Lie! A Position-Aware Mobile Fall Detection System. PerCom (2018)
Gabriele Civitarese, Claudio Bettini, Timo Sztyler, Daniele Riboni, Heiner Stuckenschmidt
NECTAR: Knowledge-based Collaborative Active Learning for Activity Recognition. PerCom (2018)
Timo Sztyler, Christian Meilicke, Heiner Stuckenschmidt
Towards Systematic Benchmarking of Activity Recognition Algorithms. PerCom Workshops (2018)
Alexander Diete, Timo Sztyler, Heiner Stuckenschmidt
Exploring Semi-Supervised Methods for Labeling Support in Multimodal Datasets. Sensors 18 (8) (2018)
Christoph Kilian Theil, Sanja Stajner, Heiner Stuckenschmidt
Word Embeddings-Based Uncertainty Detection in Financial Disclosures. ECONLP@ACL (2018)
Alexander Diete, Timo Sztyler, Lydia Weiland, Heiner Stuckenschmidt
Improving Motion-based Activity Recognition with Ego-centric Vision. PerCom Workshops (2018)

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Publication Activity (10 Years)

Top Topics

Top Venues

Heiner Stuckenschmidt