Items where Research Area is "Data Mining and Machine Learning" and Year is 2022

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Number of items: 45.

Journal Paper

  • Interpretable Gait Recognition by Granger Causality
    Balazia, Michal and Hlavackova-Schindler, Katerina and Sojka, Petr and Plant, Claudia CoRR, abs/22. ISSN 2331-8422 (2022)

  • Quantification of Kuramoto Coupling Between Intrinsic Brain Networks Applied to fMRI Data in Major Depressive Disorder
    Bauer, Lena G. M. and Hirsch, Fabian and Jones, Corey and Hollander, Matthew and Grohs, Philipp and Anand, Amit and Plant, Claudia and Wohlschläger, Afra p. 729556 ISSN 1662-5188 Frontiers Media S.A. (2022)

  • EmbAssi: Embedding assignment costs for similarity search in large graph databases
    Bause, Franka and Schubert, Erich and Kriege, Nils M. ISSN 1384-5810 Springer (2022)

  • Multi-view Graph Convolutional Networks with Differentiable Node Selection
    Chen, Zhaoliang and Fu, Lele and Xiao, Shunxin and Wang, Shiping and Plant, Claudia and Guo, Wenzhong CoRR, abs/22. ISSN 2331-8422 (2022)

  • Replication Robust Payoff Allocation in Submodular Cooperative Games
    Han, Dongge and Wooldridge, Michael and Rogers, Alex and Ohrimenko, Olga and Tschiatschek, Sebastian pp. 1-15 ISSN 2691-4581 IEEE (2022)

  • An Interpretable Neuron Embedding for Static Knowledge Distillation
    Han, Wei and Wang, Yangqiming and Böhm, Christian and Shao, Junming CoRR, abs/22. ISSN 2331-8422 (2022)

  • Causal Discovery in Hawkes Processes by Minimum Description Length
    Jalaldoust, Amirkasra and Hlavackova-Schindler, Katerina and Plant, Claudia CoRR, abs/22. ISSN 2331-8422 (2022)

  • AWT - Clustering Meteorological Time Series Using an Aggregated Wavelet Tree
    Pacher, Christina and Schicker, Irene and DeWit, Rosmarie and Schindlerova (Hlavackova-Schindler), Katerina and Plant, Claudia CoRR, abs/22. ISSN 2331-8422 (2022)

  • Python for Linguists
    Roth, Benjamin and Wiegand, Michael ISSN 0891-2017 (2022)

    • Paper in Conference Proceedings or in Workshop Proceedings

  • Interpretable Gait Recognition by Granger Causality
    Balazia, Michal and Hlavackova-Schindler, Katerina and Sojka, Petr and Plant, Claudia In: The 26th International Conference on Pattern Recognition , August 21-25, 2022 , Montréal, Québec, Canada (2022)

  • Interpretable Gait Recognition by Granger Causality
    Balazia, Michal and Schindlerova (Hlavackova-Schindler), Katerina and Sojka, Petr and Plant, Claudia In: 26th International Conference on Pattern Recognition, ICPR 2022, Montreal, QC, Canada, August 21-25, 2022 , 21-25 Aug 2022 , Montreal, QC, Canada (2022)

  • Gradual Weisfeiler-Leman: Slow and Steady Wins the Race
    Bause, Franka and Kriege, Nils M. In: Learning on Graphs Conference , 09.-12.12.2022 , Virtual (2022)

  • DBHD: Density-based clustering for highly varying density
    Durani, Walid and Mautz, Dominik and Plant, Claudia and Böhm, Christian In: IEEE International Conference on Data Mining, ICDM 2022, Orlando, FL, USA, November 28 - Dec. 1, 2022 , 28 Nov - 01 Dec 2022 , Orlando, FL, USA (2022)

  • Adaptive Scaffolding in Block-Based Programming via Synthesizing New Tasks as Pop Quizzes
    Ghosh, Ahana and Tschiatschek, Sebastian and Devlin, Sam and Singla, Adish In: Artificial Intelligence in Education: 23rd International Conference, AIED 2022 , 27.-31.07.2022 , Durham, UK (2022)

  • Option Transfer and SMDP Abstraction with Successor Features
    Han, Dongge and Tschiatschek, Sebastian In: The 31st International Joint Conference on Artificial Inteligence, IJCAI-ECAI 2022 , 23.-29.07.2022 , Messe Wien, Vienna, Austria (2022)

  • MDP Abstraction with Successor Features
    Han, Dongge and Wooldridge, Michael and Tschiatschek, Sebastian In: AAAI-22 Workshop on Reinforcement Learning in Games , 28.02.2022 , Virtual (2022)

  • The influence of meteorological parameters on wind speed extreme events: A causal inference approach
    Hlavackova-Schindler, Katerina and Fuchs, Andreas and Plant, Claudia and Schicker, Irene and DeWit, Rosmarie In: The General Assembly 2022 of the European Geosciences Union , 23-27.5.2022 , Vienna, Austria (2022)

  • Causal Discovery in Hawkes Processes by Minimum Description Length
    Jalaldoust, Amirkasra and Hlavackova-Schindler, Katerina and Plant, Claudia In: The 36th AAAI Conference on Artificial Intelligence 2022 , 22 Feb - 01 Mar 2022 , Vancouver, British Columbia, Canada (2022)

  • Weisfeiler and Leman Go Walking: Random Walk Kernels Revisited
    Kriege, Nils M. In: Thirty-sixth Conference on Neural Information Processing Systems , 28.11.2022-09.12.2022 , New Orleans (2022)

  • The DipEncoder: Enforcing Multimodality in Autoencoders
    Leiber, Collin and Bauer, Lena G. M. and Neumayr, Michael and Plant, Claudia and Böhm, Christian In: KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14 - 18, 2022 , 14-18 Aug 2022 , Washington DC, USA (2022)

  • Automatic Parameter Selection for Non-Redundant Clustering
    Leiber, Collin and Mautz, Dominik and Plant, Claudia and Böhm, Christian In: Proceedings of the 2022 SIAM International Conference on Data Mining, SDM 2022, Alexandria, VA, USA, April 28-30, 2022 , 28-30 April 2022 , Alexandria, Virginia, USA (2022)

  • Interactively Learning Preference Constraints in Linear Bandits
    Lindner, David and Tschiatschek, Sebastian and Hofmann, Katja and Krause, Andreas In: The Thirty-ninth International Conference on Machine Learning , 17.-23.07.2022 , Baltimore, USA (2022)

  • Checking HateCheck: a cross-functional analysis of behaviour-aware learning for hate speech detection
    Luz de Araujo, Pedro Henrique and Roth, Benjamin In: NLP Power! The First Workshop on Efficient Benchmarking in NLP , 26 May 2022 , Dublin, Ireland (2022)

  • Deep Clustering With Consensus Representations
    Miklautz, Lukas and Teuffenbach, Martin and Weber, Pascal and Perjuci, Rona and Durani, Walid and Böhm, Christian and Plant, Claudia In: 22nd IEEE International Conference on Data Mining 2022 , 28 Nov - 01 Dec , Orlando, FL, USA (2022)

  • Enhancing k-Means Algorithm with Tensor Processing Unit
    Mummoju, Pranava and Wolff, Anna and Perdacher, Martin and Plant, Claudia and Böhm, Christian In: 2022 IEEE International Conference on Big Data (IEEE BigData 2022) , 17-20 Dec 2022 , Osaka, Japan (2022)

  • Temporal Walk Centrality: Ranking Nodes in Evolving Networks
    Oettershagen, Lutz and Mutzel, Petra and Kriege, Nils M. In: The ACM Web Conference , 25.04.-29.04.2022 , Lyon, France - virtual (2022)

  • AWT - Clustering Meteorological Time Series Using an Aggregated Wavelet Tree
    Pacher, Christina and Schicker, Irene and DeWit, Rosmarie and Hlavackova-Schindler, Katerina and Plant, Claudia In: The 9th IEEE International Conference on Data Science and Advanced Analytics 2022 , October 13-16, 2022 , Shenzhen, China (2022)

  • Visualization in Data Science VDS @ KDD 2022
    Plant, Claudia and Hubig, Nina C. and Shao, Junming and Ottley, Alvitta and Gou, Liang and Möller, Torsten and Perer, Adam and Lex, Alexander and Crisan, Anamaria In: KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14 - 18, 2022 , 14-18 Aug 2022 , Washington DC, USA (2022)

  • hmBERT: Historical Multilingual Language Models for Named Entity Recognition
    Schweter, Stefan and März, Luisa and Schmid, Katharina and Çano, Erion In: Proceedings of the Working Notes of CLEF 2022 - Conference and Labs of the Evaluation Forum , 5 - 8 September, 2022 , Bologna, Italy (2022)

  • WeaNF":" Weak Supervision with Normalizing Flows
    Stephan, Andreas and Roth, Benjamin In: 60th Annual Meeting of the Association for Computational Linguistics , May 22-27 , Dublin, Ireland (2022)

  • Equity and Fairness of Bayesian Knowledge Tracing
    Tschiatschek, Sebastian and Knobelsdorf, Maria and Singla, Adish In: The 15th International Conference on Educational Data Mining, EDM 2022 , 24.-27.06.2022 , Durham, UK (2022)

  • Designing a Data Science Course for Non-Computer Science Students: Practical Considerations and Findings
    Velaj, Yllka and Dolezal, Dominik and Ambros, Roland and Plant, Claudia and Motschnig, Renate In: Frontiers in Education 2022 , 8-11 Oct. 2022 , Uppsala, Sweden (2022)

  • Batch Layer Normalization, A new normalization layer for CNNs and RNNs
    Ziaee, Amir and Çano, Erion In: 2022 The 6th International Conference on Advances in Artificial Intelligence , Oct 21, 2022 - Oct 23, 2022 , Birmingham, United Kindom (2022)

    • Book Section/Chapter

  • The Weisfeiler-Leman Method for Machine Learning with Graphs
    Kriege, Nils M. and Morris, Christopher In: Machine Learning under Resource Constraints. De Gruyter, Berlin, Germany, pp. 116-128 ISBN 978-3-11-078593-7 (2022)

  • Protein Complex Similarity
    Stöcker, Bianca K. and Schäfer, Till and Mutzel, Petra and Köster, Johannes and Kriege, Nils M. and Rahmann, Sven In: Machine Learning under Resource Constraints - Applications. De Gruyter, Berlin, Germany, pp. 85-102 ISBN 978-3-11-078597-5 (2022)

    • Technical Report

  • Gradual Weisfeiler-Leman: Slow and Steady Wins the Race
    Bause, Franka and Kriege, Nils M. Working Paper. CoRR arXiv (Submitted) (2022)

  • Weisfeiler and Leman Go Walking: Random Walk Kernels Revisited
    Kriege, Nils M. Working Paper. CoRR arXiv (Submitted) (2022)

  • Interactively Learning Preference Constraints in Linear Bandits
    Lindner, David and Tschiatschek, Sebastian and Hofmann, Katja and Krause, Andreas Working Paper. CoRR arXiv (Submitted) (2022)

  • XPASC: Measuring Generalization in Weak Supervision by Explainability and Association
    März, Luisa and Asgari, Ehsaneddin and Braune, Fabienne and Zimmermann, Franziska and Roth, Benjamin Working Paper. arXiv (2022)

  • A Temporal Graphlet Kernel for Classifying Dissemination in Evolving Networks
    Oettershagen, Lutz and Kriege, Nils M. and Jordan, Claude and Mutzel, Petra Working Paper. CoRR arXiv (Submitted) (2022)

  • Temporal Walk Centrality: Ranking Nodes in Evolving Networks
    Oettershagen, Lutz and Mutzel, Petra and Kriege, Nils M. Working Paper. CoRR arXiv (Submitted) (2022)

  • An adapted deep convolutional RNN model for spatio-temporal prediction of wind speed extremes in the short-to-medium range for wind energy applications
    Scheepens, Daan and Schicker, Irene and Hlavackova-Schindler, Katerina and Plant, Claudia Technical Report. UNSPECIFIED (Submitted) (2022)

  • ReInform: Selecting paths with reinforcement learning for contextualized link prediction
    Speranskaya, Marina and Methias, Sameh and Roth, Benjamin Working Paper. arXiv (2022)

  • Equity and Fairness of Bayesian Knowledge Tracing
    Tschiatschek, Sebastian and Knobelsdorf, Maria and Singla, Adish Working Paper. CoRR arXiv (Submitted) (2022)

  • Topic Segmentation of Research Article Collections
    Çano, Erion and Roth, Benjamin Working Paper. Arxiv (2022)

    • This list was generated on Tue Nov 5 02:26:30 2024 CET.
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