Heiner Stuckenschmidt

ORCID

Publication Activity (10 Years)

Years Active: 1997-2024
Publications (10 Years): 157

Top Venues

Publications

Julia Gastinger, Shenyang Huang, Mikhail Galkin, Erfan Loghmani, Ali Parviz, Farimah Poursafaei, Jacob Danovitch, Emanuele Rossi, Ioannis Koutis, Heiner Stuckenschmidt, Reihaneh Rabbany, Guillaume Rabusseau
TGB 2.0: A Benchmark for Learning on Temporal Knowledge Graphs and Heterogeneous Graphs. CoRR (2024)
Jan Martin Spreitzenbarth, Christoph Bode, Heiner Stuckenschmidt
Designing an AI purchasing requisition bundling generator. Comput. Ind. 155 (2024)
Keyvan Amiri Elyasi, Han van der Aa, Heiner Stuckenschmidt
PGTNet: A Process Graph Transformer Network for Remaining Time Prediction of Business Process Instances. CAiSE (2024)
Keyvan Amiri Elyasi, Han van der Aa, Heiner Stuckenschmidt
PGTNet: A Process Graph Transformer Network for Remaining Time Prediction of Business Process Instances. CoRR (2024)
Sascha Marton, Stefan Lüdtke, Christian Bartelt, Andrej Tschalzev, Heiner Stuckenschmidt
Explaining neural networks without access to training data. Mach. Learn. 113 (6) (2024)
Julia Gastinger, Christian Meilicke, Federico Errica, Timo Sztyler, Anett Schuelke, Heiner Stuckenschmidt
History repeats Itself: A Baseline for Temporal Knowledge Graph Forecasting. CoRR (2024)
Andrej Tschalzev, Paul Nitschke, Lukas Kirchdorfer, Stefan Lüdtke, Christian Bartelt, Heiner Stuckenschmidt
Enabling Mixed Effects Neural Networks for Diverse, Clustered Data Using Monte Carlo Methods. CoRR (2024)
Sascha Marton, Stefan Lüdtke, Christian Bartelt, Heiner Stuckenschmidt
GradTree: Learning Axis-Aligned Decision Trees with Gradient Descent. AAAI (2024)
Andrej Tschalzev, Sascha Marton, Stefan Lüdtke, Christian Bartelt, Heiner Stuckenschmidt
A Data-Centric Perspective on Evaluating Machine Learning Models for Tabular Data. CoRR (2024)
Michael Oesterle, Tim Grams, Christian Bartelt, Heiner Stuckenschmidt
RAISE the Bar: Restriction of Action Spaces for Improved Social Welfare and Equity in Traffic Management. AAMAS (2024)
Darshit Pandya, Heiner Stuckenschmidt
Evaluating the impact of different acoustic contexts on German speech recognition. PerCom Workshops (2024)
Sascha Marton, Stefan Lüdtke, Christian Bartelt, Heiner Stuckenschmidt
GRANDE: Gradient-Based Decision Tree Ensembles for Tabular Data. ICLR (2024)
Lea Cohausz, Jakob Kappenberger, Heiner Stuckenschmidt
What Fairness Metrics Can Really Tell You: A Case Study in the Educational Domain. LAK (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)
Christoph Huber, Till Nagel, Heiner Stuckenschmidt
An Initial Visual Analysis of German City Dashboards. EuroVis (Posters) (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)
Lena Steinmann, Dirk Nowotka, Lea Oberländer, Helen Pfuhl, Heiner Stuckenschmidt, Rolf Drechsler
Workshop: "Aktuelle Entwicklungen und Perspektiven (an Hochschulen) im Bereich Data Science". GI-Jahrestagung (2023)
Nils Wilken, Lea Cohausz, Christian Bartelt, Heiner Stuckenschmidt
Planning Landmark Based Goal Recognition Revisited: Does Using Initial State Landmarks Make Sense? CoRR (2023)
Thomas Gautschi, Thomas Gschwend, Lea Oberländer, Simone Paolo Ponzetto, Heiner Stuckenschmidt
Der Mannheim Master in Social Data Science. GI-Jahrestagung (2023)
Lea Cohausz, Andrej Tschalzev, Christian Bartelt, Heiner Stuckenschmidt
Investigating the Importance of Demographic Features for EDM-Predictions. EDM (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)

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Publication Activity (10 Years)

Top Topics

Top Venues

Heiner Stuckenschmidt