Publications per year
Publications per year
- 1 - 50 out of 54 results
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2025
Cheesemap: A High-Performance Point-Indexing Data Structure for Neighbor Search in LiDAR Data
Laso Rodriguez, R., 17 Feb 2025.Publications: Working paper › Preprint
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2024
A Cloud Resources Portfolio Optimization Business Model -- From Theory to Practice
Haag, V., Kiessler, M., Pittl, B. & Schikuta, E., 16 Apr 2024, arXiv, 18 p.Publications: Working paper › Preprint
Open Access -
A Conversational Brain-Artificial Intelligence Interface
Meunier, A., Žák, M. R., Munz, L., Garkot, S., Eder, M., Xu, J. & Grosse-Wentrup, M., 22 Feb 2024, arXiv.org, p. 1, 39 p.Publications: Working paper › Preprint
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ADEdgeDrop: Adversarial Edge Dropping for Robust Graph Neural Networks
Chen, Z., Wu, Z., Sadikaj, Y., Plant, C., Dai, H-N., Wang, S. & Guo, W., 2024, arXiv.Publications: Working paper › Preprint
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Advancing Anomaly Detection: Non-Semantic Financial Data Encoding with LLMs
Bakumenko, A., Hlavackova-Schindler, K., Plant, C. & Hubig, N., 1 Jun 2024, arXiv.Publications: Working paper › Preprint
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AgentSimulator: An Agent-based Approach for Data-driven Business Process Simulation
Kirchdorfer, L., Blümel, R., Kampik, T., Aa, H. V. D. & Stuckenschmidt, H., 16 Aug 2024.Publications: Working paper › Preprint
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A Universal Prompting Strategy for Extracting Process Model Information from Natural Language Text using Large Language Models
Neuberger, J., Ackermann, L., Aa, H. V. D. & Jablonski, S., 26 Jul 2024.Publications: Working paper › Preprint
Open Access -
Breaking the Reclustering Barrier in Centroid-based Deep Clustering
Miklautz, L., Klein, T., Sidak, K., Leiber, C., Lang, T., Shkabrii, A., Tschiatschek, S. & Plant, C., 2024, arXiv.Publications: Working paper › Preprint
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Plasticity Loss in Deep Reinforcement Learning: A Survey
Klein, T., Miklautz, L., Sidak, K., Plant, C. & Tschiatschek, S., 2024, arXiv.Publications: Working paper › Preprint
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Temporal Subspace Clustering for Molecular Dynamics Data
Beer, A., Heinrigs, M., Plant, C. & Assent, I., 2024, arXiv.Publications: Working paper › Preprint
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Tensions between Preference and Performance: Designing for Visual Exploration of Multi-frequency Medical Network Data
Knoll, C., Koesten, L., Rigoni, I., Vulliémoz, S. & Möller, T., 2024, (Submitted).Publications: Working paper › Preprint
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Text-Guided Alternative Image Clustering
Stephan, A., Miklautz, L., Leiber, C., Araujo, P. H. L. D., Repas, D., Plant, C. & Roth, B., 2024, ACL Anthology, p. 177-190.Publications: Working paper › Preprint
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2023
A Digital Marketplace Combining WS-Agreement, Service Negotiation Protocols and Heterogeneous Services
Vigne, R., Mangler, J. & Schikuta, E., 21 Sept 2023, arXiv.Publications: Working paper › Preprint
Open Access -
AGNN: Alternating Graph-Regularized Neural Networks to Alleviate Over-Smoothing
Chen, Z., Wu, Z., Lin, Z., Wang, S., Plant, C. & Guo, W., 2023, arXiv.Publications: Working paper › Preprint
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An End-to-End Approach for Online Decision Mining and Decision Drift Analysis in Process-Aware Information Systems: Extended Version
Scheibel, B. & Rinderle-Ma, S., 7 Mar 2023.Publications: Working paper › Preprint
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A Survey on Property-Preserving Database Encryption Techniques in the Cloud
Koppenwallner, J. & Schikuta, E., 19 Dec 2023, arXiv, 34 p.Publications: Working paper › Preprint
Open Access -
Attributed Multi-order Graph Convolutional Network for Heterogeneous Graphs
Chen, Z., Wu, Z., Zhong, L., Plant, C., Wang, S. & Guo, W., 18 Apr 2023, arXiv.Publications: Working paper › Preprint
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BunDLe-Net: Neuronal Manifold Learning Meets Behaviour
Kumar, A., Gilra, A., Gonzalez Soto, M., Meunier, A. & Grosse-Wentrup, M., 5 Oct 2023, bioRxiv, p. 1, 23 p.Publications: Working paper › Preprint
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DiCE -- A Data Encryption Proxy for the Cloud
Koppenwallner, J. & Schikuta, E., 9 Oct 2023, arXiv, 12 p.Publications: Working paper › Preprint
Open Access -
Large Language Models for In-Context Student Modeling: Synthesizing Student's Behavior in Visual Programming from One-Shot Observation
Nguyen, M. H., Tschiatschek, S. & Singla, A., 15 Oct 2023, arXiv.org.Publications: Working paper › Preprint
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Large Process Models: Business Process Management in the Age of Generative AI
Kampik, T., Warmuth, C., Rebmann, A., Agam, R., Egger, L. N. P., Gerber, A., Hoffart, J., Kolk, J., Herzig, P., Decker, G., Aa, H. V. D., Polyvyanyy, A., Rinderle-Ma, S., Weber, I. & Weidlich, M., 2 Sept 2023.Publications: Working paper › Preprint
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Learning Safety Constraints from Demonstrations with Unknown Rewards
Lindner, D., Chen, X., Tschiatschek, S., Hofmann, K. & Krause, A., 25 May 2023, arXiv.org.Publications: Working paper › Preprint
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Neural Network Exemplar Parallelization with Go
Wiesinger, G. & Schikuta, E., 15 Sept 2023, arXiv.Publications: Working paper › Preprint
Open Access -
Neuro-Cognitive Multilevel Causal Modeling: A Framework that Bridges the Explanatory Gap between Neuronal Activity and Cognition
Grosse-Wentrup, M., Kumar, A., Meunier, A. & Zimmer, M., 27 Oct 2023, bioRxiv, p. 1, 38 p.Publications: Working paper › Preprint
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Parallel Neural Networks in Golang
Kalwarowskyj, D. & Schikuta, E., 19 Apr 2023, arXiv.Publications: Working paper › Preprint
Open Access -
Untangling Rhetoric, Pathos, and Aesthetics in Data Visualization
Prantl, V. I., Moeller, T. & Koesten, L., 8 Apr 2023, (E-pub ahead of print) 11 p.Publications: Working paper › Preprint
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What is the message? Perspectives on Visual Data Communication
Koesten, L., Gregory, K., Schuster, R., Knoll, C., Davies, S. & Möller, T., 12 Apr 2023, (E-pub ahead of print) arXiv, 18 p.Publications: Working paper › Preprint
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Who is the Audience? Designing Casual Data Visualizations for the 'General Public'
Schuster, R. M. V., Koesten, L., Möller, T. & Gregory, K., 3 Oct 2023, (E-pub ahead of print) 11 p.Publications: Working paper › Preprint
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2022
A Temporal Graphlet Kernel for Classifying Dissemination in Evolving Networks
Oettershagen, L., Kriege, N. M., Jordan, C. & Mutzel, P., 12 Sept 2022, arXiv.org.Publications: Working paper › Preprint
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A Validation Procedure for the Estimation of Reachable Regions in Football
Renkin, M., Bischofberger, J., Schikuta, E. & Baca, A., 7 Apr 2022, arXiv.Publications: Working paper › Preprint
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AWT - Clustering Meteorological Time Series Using an Aggregated Wavelet Tree
Pacher, C., Schicker, I., deWit, R., Hlavácková-Schindler, K. & Plant, C., 13 Dec 2022, arXiv.org, 11 p.Publications: Working paper › Preprint
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Learnable Graph Convolutional Network and Feature Fusion for Multi-view Learning
Chen, Z., Fu, L., Yao, J., Guo, W., Plant, C. & Wang, S., 16 Nov 2022, arXiv.org, 29 p.Publications: Working paper › Preprint
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Multi-view Graph Convolutional Networks with Differentiable Node Selection
Chen, Z., Fu, L., Xiao, S., Wang, S., Plant, C. & Guo, W., 9 Dec 2022, arXiv.org, 20 p.Publications: Working paper › Preprint
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Weisfeiler and Leman Go Walking: Random Walk Kernels Revisited
Kriege, N. M., 22 May 2022, arXiv.org.Publications: Working paper › Preprint
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2021
Comparing decision mining approaches with regard to the meaningfulness of their results
Scheibel, B. & Rinderle-Ma, S., 15 Sept 2021, arXiv.org.Publications: Working paper › Preprint
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Decomposition of global feature importance into direct and associative components (DEDACT)
König, G., Freiesleben, T., Bischl, B., Casalicchio, G. & Grosse-Wentrup, M., 15 Jun 2021.Publications: Working paper › Preprint
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GPU backed Data Mining on Android Devices
Fritze, R. & Plant, C., 9 Dec 2021, arXiv.org, 11 p.Publications: Working paper › Preprint
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High performance computing on Android devices - a case study
Fritze, R. & Plant, C., 9 Dec 2021, arXiv.org.Publications: Working paper › Preprint
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Information Directed Reward Learning for Reinforcement Learning
Tschiatschek, S., Lindner, D., Turchetta, M., Ciosek, K. & Krause, A., 24 Feb 2021, arXiv.org.Publications: Working paper › Preprint
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MDP Abstraction with Successor Features
Han, D., Wooldridge, M. & Tschiatschek, S., 18 Oct 2021, arXiv.org.Publications: Working paper › Preprint
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Weisfeiler and Leman go Machine Learning: The Story so far
Morris, C., Lipman, Y., Maron, H., Rieck, B., Kriege, N. M., Grohe, M., Fey, M. & Borgwardt, K., 18 Dec 2021, arXiv.org.Publications: Working paper › Preprint
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2020
NMD is required for timely cell fate transitions by fine-tuning gene expression and controlling translation
Galimberti, E., Sehlke, R., Huth, M., Garmhausen, M., Romeike, M., Ramesmayer, J., Stummer, S., Titz-Teixeira, F., Herzog, V., Chugunova, A., Leesch, KF., Holcik, L., Weipoltshammer, K., Santini, L., Lackner, A., von Haeseler, A., Bücker, C., Pauli, A., Schöfer, C., Ameres, S., & 3 others, Jul 2020, bioRxiv.Publications: Working paper › Preprint
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2019
Catalog of Optimization Strategies and Realizations for Composed Integration Patterns
Ritter, D., Forsberg, F. N., Rinderle-Ma, S. & May, N., 4 Jan 2019, arXiv.org, 26 p.Publications: Working paper › Preprint
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Simulating Data Access Profiles of Computational Jobs in Data Grids
Begy, V., Hermans, J., Barisits, M., Lassnig, M. & Schikuta, E., 26 Feb 2019, arXiv.org.Publications: Working paper › Preprint
Open Access -
Visualizing Multiple Process Attributes in one 3D Process Representation
Gall, M. & Rinderle-Ma, S., 1 Mar 2019, arXiv.org.Publications: Working paper › Preprint
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2018
Catalog of Formalized Application Integration Patterns
Ritter, D., Rinderle-Ma, S., Montali, M., Rivkin, A. & Sinha, A., 6 Jul 2018, arXiv.org.Publications: Working paper › Preprint
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2017
Anomaly Detection in Business Process Runtime Behavior - Challenges and Limitations
Böhmer, K. & Rinderle-Ma, S., 2017, arXiv.org.Publications: Working paper › Preprint
Open Access -
2016
An empirical study on principles and practices of continuous delivery and deployment
Schermann, G., Cito, J., Leitner, P., Zdun, U. & Gall, C. H., Mar 2016, PEERJ INC, p. e1889.Publications: Working paper › Preprint
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2015
OCR Extensions - Local Identifiers, Labeled GUIDs, File IO, and Data Block Partitioning
Dokulil, J. & Benkner, S., 10 Sept 2015, arXiv.org.Publications: Working paper › Preprint
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Toward A Collection of Cloud Integration Patterns
Ritter, D. & Rinderle-Ma, S., 30 Nov 2015, arXiv.org, 38 p.Publications: Working paper › Preprint
Open Access