Forschungsverbund Data Science

Publikationen

Publikationen pro Jahr 2016 2020 2022 2023 2025

• 144 Artikel
• 69 Beitrag in Konferenzband
• 17 Paper
• 17 Preprint
• 29 Mehr
  • 8 Sonstiger Konferenzbeitrag
  • 7 Meeting Abstract/Conference Paper
  • 4 Working Paper
  • 2 Beitrag in Buch/Sammelband
  • 2 Editorial
  • 2 Review
  • 2 Sonstiges
  • 1 Short Communication
  • 1 Webpublikation

Publikationen pro Jahr

Publikationen pro Jahr

Suchergebnisse

• 2024

  Approximating the Graph Edit Distance with Compact Neighborhood Representations

  Bause, F., Permann, C. & Kriege, N. M., 22 Aug. 2024, Machine Learning and Knowledge Discovery in Databases. Research Track. ECML PKDD 2024. . Springer Cham, Band 14945. S. 300-318 18 S. (Lecture Notes in Computer Science, Band 14945).

  Veröffentlichungen: Beitrag in Buch › Beitrag in Konferenzband › Peer Reviewed

  • Direct Neighbor 100%
  • Abstract Method 100%

• Attacking Graph Neural Networks with Bit Flips: Weisfeiler and Leman Go Indifferent

  Kummer, L., Moustafa, S., Schrittwieser, S., Gansterer, W. & Kriege, N. M., 25 Aug. 2024, Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining: KDD 2024. New York: Association for Computing Machinery (ACM), S. 1428-1439 12 S.

  Veröffentlichungen: Beitrag in Buch › Beitrag in Konferenzband › Peer Reviewed

  Open Access

  • Trained Network 100%
  • Mathematical Property 100%

• Data with Density-Based Clusters: A Generator for Systematic Evaluation of Clustering Algorithms

  Jahn, P., Frey, C. M. M., Beer, A., Leiber, C. & Seidl, T., 1 Sept. 2024, Machine Learning and Knowledge Discovery in Databases. Research Track. ECML PKDD 2024.. Springer Cham, Band 14947. S. 3-21 19 S. (Lecture Notes in Computer Science).

  Veröffentlichungen: Beitrag in Buch › Beitrag in Konferenzband › Peer Reviewed

• DROPP: Structure-Aware PCA for Ordered Data: A General Method and its Applications in Climate Research and Molecular Dynamics

  Beer, A., Palotás, O., Maldonado, A., Draganov, A. & Assent, I., 2024, 40th IEEE International Conference on Data Engineering, ICDE 2024, Utrecht, The Netherlands, May 13-16, 2024. IEEE, S. 1143-1156 14 S.

  Veröffentlichungen: Beitrag in Buch › Beitrag in Konferenzband › Peer Reviewed

• Estimate and Reduce Uncertainty in Uncertain Graphs

  Arafat, N. A., Mobaraki, E. B., Khan, A., Velaj, Y. & Bonchi, F., 2024, 11th IEEE International Conference on Data Science and Advanced Analytics, DSAA 2024, San Diego, CA, USA, October 6-10, 2024. IEEE, S. 1-12 12 S.

  Veröffentlichungen: Beitrag in Buch › Beitrag in Konferenzband › Peer Reviewed

• FALCUN: A Simple and Efficient Deep Active Learning Strategy

  Gilhuber, S., Beer, A., Ma, Y. & Seidl, T., 1 Sept. 2024, Machine Learning and Knowledge Discovery in Databases. Research Track. ECML PKDD 2024).. Cham: Springer, Band 14943. S. 421-439 19 S. (Lecture Notes in Computer Science).

  Veröffentlichungen: Beitrag in Buch › Beitrag in Konferenzband › Peer Reviewed

• On the Two Sides of Redundancy in Graph Neural Networks

  Bause, F., Moustafa, S., Langguth, J., Gansterer, W. & Kriege, N. M., 22 Aug. 2024, Machine Learning and Knowledge Discovery in Databases. Research Track. ECML PKDD 2024. Bifet, A., Davis, J., Krilavičius, T., Kull, M., Ntoutsi, E. & Žliobaitė, I. (Hrsg.). Springer Cham, Band 14946. S. 371-388 18 S. (Lecture Notes in Computer Science, Band 14946).

  Veröffentlichungen: Beitrag in Buch › Beitrag in Konferenzband › Peer Reviewed

  • Information Redundancy 100%

• SHADE: Deep Density-based Clustering

  Beer, A., Weber, P., Miklautz, L., Leiber, C., Durani, W., Böhm, C. & Claudia, P., 1 Dez. 2024, IEEE International Conference on Data Mining (ICDM) 2024.

  Veröffentlichungen: Beitrag in Buch › Beitrag in Konferenzband › Peer Reviewed

• The Impact of Cluster Centroid and Text Review Embeddings on Recommendation Methods

  Dolog, P., Sadikaj, Y., Velaj, Y., Stephan, A., Roth, B. & Plant, C., 1 Mai 2024, Companion Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, Singapore, May 13-17, 2024. ACM, S. 589-592 4 S.

  Veröffentlichungen: Beitrag in Buch › Beitrag in Konferenzband › Peer Reviewed
• 2023

  Adversarial Anomaly Detection using Gaussian Priors and Nonlinear Anomaly Scores

  Lüer, F., Weber, T., Dolgich, M. & Böhm, C., 1 Dez. 2023, IEEE International Conference on Data Mining (2023).

  Veröffentlichungen: Beitrag in Buch › Beitrag in Konferenzband › Peer Reviewed

• A fast optimistic method for monotone variational inequalities

  Sedlmayer, M., Nguyen, D-K. & Bot, R. I., 23 Juli 2023, ICML'23: Proceedings of the 40th International Conference on Machine Learning. PMLR, Band 202. S. 30406-30438 33 S. 1261

  Veröffentlichungen: Beitrag in Buch › Beitrag in Konferenzband › Peer Reviewed

  Open Access

• A Higher-Order Temporal H-Index for Evolving Networks

  Oettershagen, L., Kriege, N. M. & Mutzel, P., 6 Aug. 2023, Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. New York: Association for Computing Machinery (ACM), S. 1770-1782 13 S. (ACM Conferences, Band 2023).

  Veröffentlichungen: Beitrag in Buch › Beitrag in Konferenzband › Peer Reviewed

  Open Access

  • Degree Centrality 100%
  • Recursive Computation 100%
  • Social Network 100%
  • Connected Component 100%
  • Centrality Measure 100%

• Analyzing the Communication Clusters in Datacenters

  Foerster, K-T., Marette, T., Neumann, S., Plant, C., Sadikaj, Y., Schmid, S. & Velaj, Y., Apr. 2023, Proceedings of the ACM Web Conference 2023, WWW 2023, Austin, TX, USA, 30 April 2023 - 4 May 2023. Ding, Y., Tang, J., Sequeda, J. F., Aroyo, L., Castillo, C. & Houben, G-J. (Hrsg.). New York: ACM, S. 3022-3032 11 S.

  Veröffentlichungen: Beitrag in Buch › Beitrag in Konferenzband › Peer Reviewed

  Open Access

  • Hadoop 100%
  • Biclustering 100%

• A Temporal Graphlet Kernel For Classifying Dissemination in Evolving Networks

  Oettershagen, L., Kriege, N. M., Jordan, C. & Mutzel, P., 27 Apr. 2023, Proceedings of the 2023 SIAM International Conference on Data Mining (SDM). S. 19-27

  Veröffentlichungen: Beitrag in Buch › Beitrag in Konferenzband › Peer Reviewed

  Open Access

  • Chronological Order 100%

• Chatting About Data - Interacting with Voice Interfaces to Engage with Election Panel Data

  Jordan, B., Koesten, L. & Möller, T., 19 Juli 2023, CUI '23: Proceedings of the 5th International Conference on Conversational User Interfaces. New York: Association for Computing Machinery (ACM), 34

  Veröffentlichungen: Beitrag in Buch › Beitrag in Konferenzband › Peer Reviewed

  Open Access

  • Chatbot 100%
  • User Engagement 20%
  • Answer Question 20%

• Extension of the Dip-test Repertoire - Efficient and Differentiable p-value Calculation for Clustering

  Bauer, L. G. M., Leiber, C., Böhm, C. & Plant, C., 1 Apr. 2023, Proceedings of the 2023 SIAM International Conference on Data Mining, SDM 2023, Minneapolis-St. Paul Twin Cities, MN, USA, April 27-29, 2023. SIAM, S. 109-117 9 S.

  Veröffentlichungen: Beitrag in Buch › Beitrag in Konferenzband › Peer Reviewed

• Incorporating User's Preference into Attributed Graph Clustering : Extended abstract

  Ye, W., Mautz, D., Böhm, C., Singh, A. K. & Plant, C., 2023, 39th IEEE International Conference on Data Engineering, ICDE 2023, Anaheim, CA, USA, April 3-7, 2023. IEEE, S. 3833-3834 2 S.

  Veröffentlichungen: Beitrag in Buch › Beitrag in Konferenzband › Peer Reviewed

  • Clustering Graph 100%
  • User Preference 100%
  • Data Distribution 33%
  • Quality Measure 33%
  • Linear Combination 33%

• Interpretable Subgraph Feature Extraction for Hyperlink Prediction

  Li, P., Pan, L., Li, K., Plant, C. & Böhm, C., 2023, IEEE International Conference on Data Mining, ICDM 2023, Shanghai, China, December 1-4, 2023. IEEE, S. 279-288 10 S.

  Veröffentlichungen: Beitrag in Buch › Beitrag in Konferenzband › Peer Reviewed

• Learning cognitive state representations from neuronal and behavioural data

  Kumar, A., Gilra, A. & Grosse-Wentrup, M., Aug. 2023, (Angenommen/In Druck) Conference on Cognitive Computational Neuroscience 2023. 4 S.

  Veröffentlichungen: Beitrag in Buch › Beitrag in Konferenzband › Peer Reviewed

  Open Access

  • Cognitive State 100%
  • Behavior (Neuroscience) 100%
  • Neural Network 33%
  • Neuronal Activity 33%
  • Caenorhabditis elegans 33%

• Learning Constraints From Human Stop-Feedback in Reinforcement Learning

  Poletti, S., Testolin, A. & Tschiatschek, S., 29 Mai 2023, he proceedings of the 22nd International Conference on Autonomous Agents and Multiagent Systems (AAMAS-2023).

  Veröffentlichungen: Beitrag in Buch › Beitrag in Konferenzband › Peer Reviewed

  • Bayesian Approach 100%
  • Reinforcement Learning 100%
  • Behavior (Neuroscience) 100%

• Optimizing the Solution Quality of Metaheuristics Through Process Mining Based on Selected Problems from Operations Research

  Kinast, A., Braune, R., Dörner, K. F. & Rinderle-Ma, S., Aug. 2023, Business Process Management Forum - BPM 2023 Forum, Proceedings. Di Francescomarino, C., Burattin, A., Janiesch, C. & Sadiq, S. (Hrsg.). Cham: Springer, S. 232-248 17 S. (Lecture Notes in Business Information Processing, Band 490).

  Veröffentlichungen: Beitrag in Buch › Beitrag in Konferenzband › Peer Reviewed

  Open Access

  • Resource Allocation 100%

• Posterior Consistency for Missing Data in Variational Autoencoders

  Sudak, T. & Tschiatschek, S., 18 Sept. 2023, Machine Learning and Knowledge Discovery in Databases: Research Track: European Conference, ECML PKDD 2023, Turin, Italy, September 18–22, 2023, Proceedings, Part II. Koutra, D., Plant, C., Gomez Rodriguez, M., Baralis, E. & Bonchi, F. (Hrsg.). Cham: Springer Nature, S. 508-524 17 S. (Lecture Notes in Computer Science, Band 14170).

  Veröffentlichungen: Beitrag in Buch › Beitrag in Konferenzband › Peer Reviewed

  • Missing Value 100%
  • Posterior Distribution 66%
  • Regularization 66%
  • Missingness 33%
  • Coder 33%

• Semi-Supervised Embedding of Attributed Multiplex Networks

  Sadikaj, Y., Rass, J., Velaj, Y. & Plant, C., Apr. 2023, Proceedings of the ACM Web Conference 2023, WWW 2023, Austin, TX, USA, 30 April 2023 - 4 May 2023. Ding, Y., Tang, J., Sequeda, J. F., Aroyo, L., Castillo, C. & Houben, G-J. (Hrsg.). New York: ACM, S. 578-587 10 S.

  Veröffentlichungen: Beitrag in Buch › Beitrag in Konferenzband › Peer Reviewed

  Open Access

  • Node Embedding 100%
  • Node Classification 100%
  • Lower Dimensional Space 100%
  • World Application 100%

• Specifying Prior Beliefs over DAGs in Deep Bayesian Causal Structure Learning

  Rittel, S. & Tschiatschek, S., 30 Sept. 2023, ECAI 2023: 26th European Conference on Artificial Intelligence, including 12th Conference on Prestigious Applications of Intelligent Systems, PAIS 2023 - Proceedings. Gal, K., Gal, K., Nowe, A., Nalepa, G. J., Fairstein, R. & Radulescu, R. (Hrsg.). Amsterdam: IOS Press, S. 1962-1969 8 S. (Frontiers in Artificial Intelligence and Applications, Band 372).

  Veröffentlichungen: Beitrag in Buch › Beitrag in Konferenzband › Peer Reviewed

  Open Access

  • Probability Distribution 100%

• Variational Monte Carlo on a Budget - Fine-tuning pretrained Neural Wavefunctions

  Scherbela, M., Gerard, L. & Grohs, P., 2023, Advances in Neural Information Processing Systems 36 (NeurIPS 2023).

  Veröffentlichungen: Beitrag in Buch › Beitrag in Konferenzband › Peer Reviewed
• 2022

  Adaptive Scaffolding in Block-Based Programming via Synthesizing New Tasks as Pop Quizzes

  Ghosh, A., Tschiatschek, S., Devlin, S. & Singla, A., 27 Juli 2022, Artificial Intelligence in Education: 23rd International Conference, AIED 2022, Durham, UK, July 27–31, 2022, Proceedings, Part I. Rodrigo, M. M., Matsuda, N., Cristea, A. I. & Dimitrova, V. (Hrsg.). Cham: Springer, S. 28-40 13 S. (Lecture Notes in Computer Science, Band 13355).

  Veröffentlichungen: Beitrag in Buch › Beitrag in Konferenzband › Peer Reviewed

  • Task Programming 100%
  • Programming Environment 33%
  • Online Platform 33%

• Automatic Parameter Selection for Non-Redundant Clustering

  Leiber, C., Mautz, D., Plant, C. & Böhm, C., 2022, Proceedings of the 2022 SIAM International Conference on Data Mining, SDM 2022, Alexandria, VA, USA, April 28-30, 2022. Banerjee, A., Zhou, Z-H., Papalexakis, E. E. & Riondato, M. (Hrsg.). SIAM, S. 226-234 9 S.

  Veröffentlichungen: Beitrag in Buch › Beitrag in Konferenzband › Peer Reviewed

  • Parameter Space 100%
  • Minimum Description Length 100%

• Causal Discovery in Hawkes Processes by Minimum Description Length

  Jalaldoust, A., Hlavácková-Schindler, K. & Plant, C., 28 Juni 2022, Thirty-Sixth AAAI Conference on Artificial Intelligence; Thirty-Fourth Conference on Innovative Applications of Artificial Intelligence; The Twelveth Symposium on Educational Advances in Artificial Intelligence. Palo Alto, California: AAAI Press, S. 6978-6987 10 S. (Proceedings of the ... National Conference on Artificial Intelligence; Nr. 6, Band 36).

  Veröffentlichungen: Beitrag in Buch › Beitrag in Konferenzband › Peer Reviewed

  Open Access

  • Selection Task 100%
  • Problem Discovery 100%

• Combing metaheuristics and process mining: Improving cobot placement in a combined cobot assignment and job shop scheduling problem

  Kinast, A., Dörner, K. F. & Rinderle-Ma, S., März 2022, Procedia Computer Science. Elsevier, Band 200. S. 1836-1845 10 S.

  Veröffentlichungen: Beitrag in Buch › Beitrag in Konferenzband › Peer Reviewed

  Open Access

  • Solution State 100%
  • Industrial Robot 100%
  • Workstation 100%

• DBHD: Density-based clustering for highly varying density

  Durani, W., Mautz, D., Plant, C. & Böhm, C., 2022, IEEE International Conference on Data Mining, ICDM 2022, Orlando, FL, USA, November 28 - Dec. 1, 2022. IEEE, S. 921-926 6 S.

  Veröffentlichungen: Beitrag in Buch › Beitrag in Konferenzband › Peer Reviewed

• Designing a Data Science Course for Non-Computer Science Students: Practical Considerations and Findings

  Velaj, Y., Dolezal, D., Ambros, R., Plant, C. & Motschnig, R., 2022, 2022 IEEE Frontiers in Education Conference, FIE 2022. Piscataway, NJ: IEEE, S. 1-9 9 S.

  Veröffentlichungen: Beitrag in Buch › Beitrag in Konferenzband › Peer Reviewed

• Enhancing k-Means Algorithm with Tensor Processing Unit

  Mummoju, P., Wolff, A., Perdacher, M., Plant, C. & Böhm, C., 1 Dez. 2022, 2022 IEEE International Conference on Big Data (IEEE BigData). Tsumoto, S., Ohsawa, Y., Chen, L., Van den Poel, D., Hu, X., Motomura, Y., Takagi, T., Wu, L., Xie, Y., Abe, A. & Raghavan, V. (Hrsg.). Piscataway: IEEE, S. 194-200 7 S.

  Veröffentlichungen: Beitrag in Buch › Beitrag in Konferenzband › Peer Reviewed

• Equity and Fairness of Bayesian Knowledge Tracing

  Tschiatschek, S., Knobelsdorf, M. & Singla, A., 24 Juni 2022, Proceedings of the 15th International Conference on Educational Data Mining, EDM 2022.

  Veröffentlichungen: Beitrag in Buch › Beitrag in Konferenzband › Peer Reviewed

• General Pitfalls of Model-Agnostic Interpretation Methods for Machine Learning Models

  Molnar, C., König, G., Herbinger, J., Freiesleben, T., Dandl, S., Scholbeck, C. A., Casalicchio, G., Grosse-Wentrup, M. & Bischl, B., 17 Apr. 2022, xxAI - Beyond Explainable AI: International Workshop, Held in Conjunction with ICML 2020, July 18, 2020, Vienna, Austria, Revised and Extended Papers. Holzinger, A., Goebel, R., Fong, R., Moon, T., Müller, K-R. & Samek, W. (Hrsg.). 1 Aufl. Cham: Springer, S. 39-68 30 S. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

  Veröffentlichungen: Beitrag in Buch › Beitrag in Konferenzband › Peer Reviewed

  Open Access

  • Awareness 100%
  • Solution and Solubility 100%
  • Machine Learning 100%
  • Learning Model 100%
  • Shapley Value 20%

• Interactively Learning Preference Constraints in Linear Bandits

  Lindner, D., Tschiatschek, S., Hofmann, K. & Krause, A., 17 Juli 2022, Proceedings of the 39th International Conference on Machine Learning: 17-23 July 2022, Baltimore, Maryland, USA. (Proceedings of Machine Learning Research, Band 162).

  Veröffentlichungen: Beitrag in Buch › Beitrag in Konferenzband › Peer Reviewed

• Interpretable Gait Recognition by Granger Causality

  Balazia, M., Hlavácková-Schindler, K., Sojka, P. & Plant, C., 2022, 26th International Conference on Pattern Recognition, ICPR 2022, Montreal, QC, Canada, August 21-25, 2022. Piscataway, NJ: IEEE, S. 1069-1075 7 S.

  Veröffentlichungen: Beitrag in Buch › Beitrag in Konferenzband › Peer Reviewed

  • Biometric Characteristic 100%

• Option Transfer and SMDP Abstraction with Successor Features

  Tschiatschek, S. & Han, D., 23 Juli 2022, Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence. S. 3036-3042 7 S.

  Veröffentlichungen: Beitrag in Buch › Beitrag in Konferenzband › Peer Reviewed

• Temporal Walk Centrality: Ranking Nodes in Evolving Networks

  Oettershagen, L., Mutzel, P. & Kriege, N. M., Apr. 2022, WWW 2022 - Proceedings of the ACM Web Conference 2022. Laforest, F. & Troncy, R. (Hrsg.). New York, NY: Association for Computing Machinery (ACM), S. 1640-1650 11 S.

  Veröffentlichungen: Beitrag in Buch › Beitrag in Konferenzband › Peer Reviewed

  Open Access

  • Centrality Measure 100%
  • Time Constraint 50%
  • Betweenness 50%
  • Exact Algorithm 50%
  • Algebraic Method 50%

• The DipEncoder: Enforcing Multimodality in Autoencoders

  Leiber, C., Bauer, L. G. M., Neumayr, M., Plant, C. & Böhm, C., 2022, KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14 - 18, 2022. Zhang, A. & Rangwala, H. (Hrsg.). ACM, S. 846-856 11 S.

  Veröffentlichungen: Beitrag in Buch › Beitrag in Konferenzband › Peer Reviewed

  Open Access

  • Assumed Distribution 100%

• Visualization in Data Science VDS @ KDD 2022

  Plant, C., Hubig, N. C., Shao, J., Ottley, A., Gou, L., Möller, T., Perer, A., Lex, A. & Crisan, A., 2022, KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14 - 18, 2022. Zhang, A. & Rangwala, H. (Hrsg.). ACM, S. 4894-4895 2 S.

  Veröffentlichungen: Beitrag in Buch › Beitrag in Konferenzband › Peer Reviewed

  Open Access

  • Machine Learning 100%
  • Data Mining 100%
  • Learning System 100%
  • Physical Science 50%
  • Practical Issue 50%
• 2021

  Density-Based Clustering for Adaptive Density Variation

  Qian, L., Plant, C. & Böhm, C., 2021, Proceedings - 21st IEEE International Conference on Data Mining, ICDM 2021. Bailey, J., Miettinen, P., Koh, Y. S., Tao, D. & Wu, X. (Hrsg.). Piscataway, NJ: IEEE, S. 1282-1287 6 S.

  Veröffentlichungen: Beitrag in Buch › Beitrag in Konferenzband › Peer Reviewed

  • Density Variation 100%
  • Clustering Algorithm 100%
  • Arbitrary Shape 20%
  • Knowledge Discovery 20%
  • Data Mining 20%

• Details (Don't) Matter: Isolating Cluster Information in Deep Embedded Spaces

  Miklautz, L., Bauer, L., Mautz, D., Tschiatschek, S., Böhm, C. & Plant, C., 2021, Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence (IJCAI-21): Montreal, 19-27 August 2021. Zhou, Z-H. (Hrsg.). International Joint Conferences on Artificial Intelligence, S. 2826-2832 7 S.

  Veröffentlichungen: Beitrag in Buch › Beitrag in Konferenzband › Peer Reviewed

  Open Access

• Dip-based Deep Embedded Clustering with k-Estimation

  Bauer, L., Leiber, C., Schelling, B., Boehm, C. & Plant, C., 14 Aug. 2021, KDD 2021 - Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining: August 14 - 18, 2021. New York, NY: Association for Computing Machinery (ACM), S. 903-913 11 S.

  Veröffentlichungen: Beitrag in Buch › Beitrag in Konferenzband › Peer Reviewed

  Open Access

  • Deep Learning Method 100%
  • Autoencoder 100%
  • Neural Network 50%
  • Clustering Algorithm 50%
  • Unsupervised Neural Network 50%

• Utilizing Structure-rich Features to improve Clustering

  Schelling, B., Bauer, L., Behzadi Soheil, S. & Plant, C., 2021, Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2020, Proceedings: European Conference, ECML PKDD 2020, Ghent, Belgium, September 14–18, 2020, Proceedings, Part I. Hutter, F., Kersting, K., Lijffjit, J. & Valera, I. (Hrsg.). 1 Aufl. Cham: Springer International Publishing, Band 12457. S. 91-107 17 S. (Lecture Notes in Computer Science).

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• 2020

  A Distance Metric for Sets of Events

  Sahann, R., Plant, C. & Möller, T., Okt. 2020, 2020 IEEE 7TH INTERNATIONAL CONFERENCE ON DATA SCIENCE AND ADVANCED ANALYTICS (DSAA 2020). Webb, G., Zhang, Z., Tseng, V. S., Williams, G., Vlachos, M. & Cao, L. (Hrsg.). IEEE, S. 506-515 10 S.

  Veröffentlichungen: Beitrag in Buch › Beitrag in Konferenzband › Peer Reviewed

  • Distance Metric 100%

• Data Compression as a Comprehensive Framework for Graph Drawing and Representation Learning

  Plant, C., Biedermann, S. & Böhm, C., 2020, KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Virtual Event, CA, USA, August 23-27, 2020. ACM, S. 1212-1222 11 S.

  Veröffentlichungen: Beitrag in Buch › Beitrag in Konferenzband › Peer Reviewed

• Graphical Granger Causality by Information-Theoretic Criteria

  Hlavackova-Schindler, K. & Plant, C., 29 Aug. 2020, ECAI 2020: 24th European Conference on Artificial Intelligence, 29 August–8 September 2020, Santiago de Compostela, Spain – Including 10th Conference on Prestigious Applications of Artificial Intelligence (PAIS 2020). De Giacomo, G., Catala, A., Dilkina, B., Milano, M., Barro, S., Bugarin, A. & Lang, J. (Hrsg.). IOS Press, S. 1459-1466 (Frontiers in Artificial Intelligence and Applications, Band 325).

  Veröffentlichungen: Beitrag in Buch › Beitrag in Konferenzband › Peer Reviewed

  • Stochastic Complexity 100%
  • Theoretic Function 100%

• Hierarchical Quick Shift Guided Recurrent Clustering

  Altinigneli, M. C., Miklautz, L., Böhm, C. & Plant, C., 2020, 36th IEEE International Conference on Data Engineering, ICDE 2020, Dallas, TX, USA, April 20-24, 2020. IEEE, S. 1842-1845 4 S.

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• ITGH: Information-Theoretic Granger Causal Inference on Heterogeneous Data

  Behzadi, S., Schelling, B. & Plant, C., 2020, Advances in Knowledge Discovery and Data Mining. PAKDD 2020. Lauw, H., Wong, RW., Ntoulas, A., Lim, EP., Ng, SK. & Pan, S. (Hrsg.). Cham: Springer, S. 742-755 14 S. (Lecture Notes in Computer Science, Band 12085).

  Veröffentlichungen: Beitrag in Buch › Beitrag in Konferenzband › Peer Reviewed

• Massively Parallel Graph Drawing and Representation Learning

  Böhm, C. & Plant, C., 6 Nov. 2020, 2020 IEEE International Conference on Big Data (Big Data). Wu, X., Jermaine, C., Xiong, L., Hu, X. T., Kotevska, O., Lu, S., Xu, W., Aluru, S., Zhai, C., Al-Masri, E., Chen, Z. & Saltz, J. (Hrsg.). IEEE, S. 609-616 8 S.

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  Open Access