Items where Research Area is "Data Mining and Machine Learning" and Year is 2023

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Number of items: 59.

A

  • Two-Year Progress of Pilot Research Activities in Teaching Digital Thinking Project (TDT)
    Ambros, Roland and Bernsteiner, Angelika and Bloem, Roderick and Dolezal, Dominik and Garzia, David and Göltl, Katrin and Haagen-Schützenhöfer, Claudia and Hadler, Markus and Hell, Timotheus and Herderich, Alina and Jercic, Petar and Kayali, Fares and Kemény, Ferenc and Kirsch, Christoph and Kloesch, Beate and Kocher, Daniel and Landerl, Karin and Lasser, Jana and Lex, Elisabeth and Motschnig, Renate and Plant, Claudia and Posch, Lisa and Reiter-Haas, Markus and Schubatzky, Thomas and Slany, Wolfgang and Sokolova, Ana and Spitzer, Philipp and Steinböck, Matthias and Velaj, Yllka and Yüksel-Arslan, Pelin ISSN 2219-6994 (2023)

    • B

  • Extension of the Dip-test Repertoire - Efficient and Differentiable p-value Calculation for Clustering
    Bauer, Lena G. M. and Leiber, Collin and Böhm, Christian and Plant, Claudia In: Proceedings of the 2023 SIAM International Conference on Data Mining, SDM 2023, Minneapolis-St. Paul Twin Cities, MN, USA, April 27-29, 2023 , 27-29 Apr 2023 , Minneapolis, Minnesota, U.S. (2023)

  • Seeing through the mess: evolutionary dynamics of lexical polysemy
    Baumann, Andreas and Stephan, Andreas and Roth, Benjamin In: The 2023 Conference on Empirical Methods in Natural Language Processing , 6-10 Dec, 2023 , Singapore (2023)

    • C

  • Learnable graph convolutional network and feature fusion for multi-view learning
    Chen, Zhaoliang and Fu, Lele and Yao, Jie and Guo, Wenzhong and Plant, Claudia and Wang, Shiping Inf. Fusion, 95. pp. 109-119 ISSN 1566-2535 (2023)

  • AGNN: Alternating Graph-Regularized Neural Networks to Alleviate Over-Smoothing
    Chen, Zhaoliang and Wu, Zhihao and Lin, Zhenghong and Wang, Shiping and Plant, Claudia and Guo, Wenzhong CoRR, abs/23. ISSN 2331-8422 (2023)

  • Attributed Multi-order Graph Convolutional Network for Heterogeneous Graphs
    Chen, Zhaoliang and Wu, Zhihao and Zhong, Luying and Plant, Claudia and Wang, Shiping and Guo, Wenzhong CoRR, abs/23. ISSN 2331-8422 (2023)

    • D

  • Graph-Based Methods for Rational Drug Design
    Droschinsky, Andre and Humbeck, Lina and Koch, Oliver and Kriege, Nils M. and Mutzel, Petra and Schäfer, Till In: Algorithms for Big Data. Springer Cham, pp. 76-96 ISBN 978-3-031-21533-9 (2023)

    • F

  • Analyzing the Communication Clusters in Datacenters
    Foerster, Klaus-Tycho and Marette, Thibault and Neumann, Stefan and Plant, Claudia and Sadikaj, Ylli and Schmid, Stefan and Velaj, Yllka In: Proceedings of the ACM Web Conference 2023, WWW 2023, Austin, TX, USA, 30 April 2023 - 4 May 2023 , 30 April - 04 May 2023 , Austin, TX, USA (2023)

  • Influence of meteorological parameters in wind storms by Granger causal analysis
    Fuchs, Andreas and Hlavackova-Schindler, Katerina and Plant, Claudia and Schicker, Irene In: Wind Energy Science Conference 2023 , 23-26.5.2023 , Glasgow, UK (2023)

    • H

  • Causal Inference for Heterogeneous Data and Information Theory
    Hlavackova-Schindler, Katerina ISSN 1099-4300 MDPI (2023)

  • Pattern Discovery in an EEG Database of Depression Patients: Preliminary Results
    Hlavackova-Schindler, Katerina and Pacher, Christina and Plant, Claudia and Lazarenko, Mykola and Palus, Milan and Hlinka, Jaroslav and Kathpalia, Aditi and Brunovsky, Martin In: Measurement , 29.-31.5.2023 , Smolenice, Slovakia (2023)

  • Causal Inference for Heterogeneous Data and Information Theory
    Hlavackova-Schindler, Katerina and Sokolovska, Nataliya and Wuillemin, Pierre-Henri and Xie, Feng and He, Yangbo and Geng, Zhi and Chen, Zhengming and Hou, Ru and Zhang, Kun and Liu, Shuo Shuo and Zhu, Yeying and Rostami, Mehdi and Saarela, Olli and Bodory, Hugo and Busshoff, Hannah and Lechner, Michael and Dorie, Vincent and Perrett, George and Hill, Jennifer L. and Goodrich, Benjamin and Wang, Xu and Shojaie, Ali and Rehder, Bob and Davis, Zachary J. and Bramley, Neil and Galhotra, Sainyam and Shanmugam, Karthikeyan and Sattigeri, Prasanna and Varshney, Kush R. and Yu, Xuewen and Smith, Jim O. and Mahadevan, Sridhar and Andree, Bo Pieter Johannes Entropy: Information Theory, Probability and Statistics MDPI, St. Alban-Anlage 66, 4052 Basel, Switzerland ISBN 978-3-0365-8050-0/978-3-0365-8051-7 (2023)

    • K

  • k-SubMix: Common Subspace Clustering on Mixed-Type Data
    Klein, Mauritius and Leiber, Collin and Böhm, Christian In: Machine Learning and Knowledge Discovery in Databases: Research Track - European Conference, ECML PKDD 2023, Turin, Italy, September 18-22, 2023, Proceedings, Part I , 18-22 Sep 2023 , Torino, Italy (2023)

  • k-SubMix: Common Subspace Clustering on Mixed-Type Data
    Klein, Mauritius and Leiber, Collin and Böhm, Christian In: Machine Learning and Knowledge Discovery in Databases: Research Track - European Conference, ECML PKDD 2023, Turin, Italy, September 18-22, 2023, Proceedings, Part I , 18-22 Sep 2023 , Turin, Italy (2023)

  • Active Third-Person Imitation Learning
    Klein, Timo and Weinberger, Susanna and Adish, Singla and Tschiatschek, Sebastian Working Paper. CoRR arXiv (2023)

  • MemeGraphs: Linking Memes to Knowledge Graphs
    Kougia, Vasiliki and Fetzel, Simon and Kirchmair, Thomas and Çano, Erion and Baharlou, Sina Moayed and Sharifzadeh, Sahand and Roth, Benjamin In: The 17th International Conference on Document Analysis and Recognition (ICDAR 2023) , 21-26 August 2023 , San José, California, USA (2023)

  • Machine Learning and Knowledge Discovery in Databases: Research Track - European Conference, ECML PKDD 2023, Turin, Italy, September 18-22, 2023, Proceedings, Part I
    Koutra, Danai and Plant, Claudia and Gomez-Rodriguez, Manuel and Baralis, Elena and Bonchi, Francesco Springer, Turin, Italy (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, Danai and Plant, Claudia and Rodriguez, Manuel Gomez and Baralis, Elena and Bonchi, Francesco Springer, Turin, Italy (2023)

  • Machine Learning and Knowledge Discovery in Databases: Research Track - European Conference, ECML PKDD 2023, Turin, Italy, September 18-22, 2023, Proceedings, Part III
    Koutra, Danai and Plant, Claudia and Rodriguez, Manuel Gomez and Baralis, Elena and Bonchi, Francesco Lecture Notes in Computer Science, 14171 Springer, Turin, Italy (2023)

  • Machine Learning and Knowledge Discovery in Databases: Research Track - European Conference, ECML PKDD 2023, Turin, Italy, September 18-22, 2023, Proceedings, Part IV
    Koutra, Danai and Plant, Claudia and Rodriguez, Manuel Gomez and Baralis, Elena and Bonchi, Francesco Lecture Notes in Computer Science, 14172 Springer, Turin, Italy (2023)

  • Machine Learning and Knowledge Discovery in Databases: Research Track - European Conference, ECML PKDD 2023, Turin, Italy, September 18-22, 2023, Proceedings, Part V
    Koutra, Danai and Plant, Claudia and Rodriguez, Manuel Gomez and Baralis, Elena and Bonchi, Francesco Lecture Notes in Computer Science, 14173 Springer, Turin, Italy (2023)

    • L

  • Application of Deep Clustering Algorithms
    Leiber, Collin and Miklautz, Lukas and Plant, Claudia and Böhm, Christian In: 32nd ACM International Conference on Information and Knowledge Management , 21.10.2023 - 25.10.2023 , Birmingham, United Kingdom (2023)

  • Benchmarking Deep Clustering Algorithms With ClustPy
    Leiber, Collin and Miklautz, Lukas and Plant, Claudia and Böhm, Christian In: IEEE International Conference on Data Mining, ICDM 2023 - Workshops, Shanghai, China, December 4, 2023 , 1-4 Dec 2023 , Shanghai, China (2023)

  • Interpretable Subgraph Feature Extraction for Hyperlink Prediction
    Li, Peiyan and Pan, Liming and Li, Kai and Plant, Claudia and Böhm, Christian In: IEEE International Conference on Data Mining, ICDM 2023, Shanghai, China, December 1-4, 2023 , 1-4 Dec 2023 , Shanghai, China (2023)

  • Influence without Authority: Maximizing Information Coverage in Hypergraphs
    Li, Peiyan and Wang, Honglian and Li, Kai and Böhm, Christian In: Proceedings of the 2023 SIAM International Conference on Data Mining, SDM 2023, Minneapolis-St. Paul Twin Cities, MN, USA, April 27-29, 2023 , 27-29 Apr 2023 , Minneapolis, Minnesota, U.S. (2023)

  • Learning Safety Constraints from Demonstrations with Unknown Rewards
    Lindner, David and Chen, Xin and Tschiatschek, Sebastian and Hofmann, Katja and Krause, Andreas Technical Report. CoRR arXiv (2023)

  • Cross-functional Analysis of Generalization in Behavioral Learning
    Luz de Araujo, Pedro Henrique and Roth, Benjamin Transactions of the Association for Computational Linguistics, 11. pp. 1066-1081 ISSN 2307-387X MIT Press (2023)

  • Adversarial Anomaly Detection using Gaussian Priors and Nonlinear Anomaly Scores
    Lüer, Fiete and Weber, Tobias and Dolgich, Maxim and Böhm, Christian In: IEEE International Conference on Data Mining (2023) , Dec 1-4, 2023 , Shanghai, China (2023)

    • M

  • Non-Redundant Image Clustering of Early Medieval Glass Beads
    Miklautz, Lukas and Shkabrii, Andrii and Leiber, Collin and Tobias, Bendeguz and Seidl, Benedict and Weissensteiner, Elisabeth and Rausch, Andreas and Böhm, Christian and Plant, Claudia In: The 10th IEEE International Conference on Data Science and Advanced Analytics , 9-13 Oct 2023 , Thessaloniki, Greece (2023)

  • Weisfeiler and Leman go Machine Learning: The Story so far
    Morris, Christopher and Lipman, Yaron and Maron, Haggai and Rieck, Bastian and Kriege, Nils M. and Grohe, Martin and Fey, Matthias and Borgwardt, Karsten pp. 1-59 ISSN 1532-4435 JMLP (2023)

    • N

  • Large Language Models for In-Context Student Modeling: Synthesizing Student's Behavior in Visual Programming from One-Shot Observation
    Nguyen, Manh Hung and Tschiatschek, Sebastian and Singla, Adish Working Paper. CoRR arXiv (2023)

    • O

  • A Temporal Graphlet Kernel For Classifying Dissemination in Evolving Networks
    Oettershagen, Lutz and Kriege, Nils M. and Jordan, Claude and Mutzel, Petra In: SIAM International Conference on Data Mining , 27.04.-29.04.2023 , Minneapolis, Minnesota, U.S.A. (2023)

  • A Higher-Order Temporal H-Index for Evolving Networks
    Oettershagen, Lutz and Kriege, Nils M. and Mutzel, Petra In: 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining , 06.-10.08.2023 , Long Beach, CA, USA (2023)

    • P

  • Greek Literary Papyri Dating Benchmark
    Paparrigopoulou, Asimina and Kougia, Vasiliki and Konstantinidou, Maria and Pavlopoulos, John In: ICDAR 2023 Workshop on Computational Paleography (2nd edition) , 24 Aug 2023 , San José, California, USA (2023)

  • Detecting Erroneously Recognized Handwritten Byzantine Text
    Pavlopoulos, John and Kougia, Vasiliki and Platanou, Paraskevi and Essler, Holger In: Findings of the Association for Computational Linguistics: EMNLP 2023 , 6-10 Dec 2023 , Singapore (2023)

  • The IJCAI-23 joint workshop on artificial intelligence safety and safe reinforcement learning (AISafety-SafeRL2023)
    Pedroza, Gabriel and Chen, Xin Cynthia and Hernández-Orallo, José and Huang, Xiaowei and Theodorou, Andreas and Matragkas, Nikolaos and Espinoza, Huascar and Mallah, Richard and McDermid, John and Castillo-Effen, Mauricio and Bossens, David and Koenighofer, Bettina and Tschiatschek, Sebastian and Liu, Anqi In: THE 32nd International Joint Conference on Artificial Intelligence , 19.08.-25.08.2023 , Macau, China (2023)

  • Learning Constraints From Human Stop-Feedback in Reinforcement Learning
    Poletti, Silvia and Testolin, Alberto and Tschiatschek, Sebastian In: The 22nd International Conference on Autonomous Agents and Multiagent Systems London, 29 May-2 June 2023 , 29.05-02.06.2023 , London, UK (2023)

    • R

  • Specifying Prior Beliefs over DAGs in Deep Bayesian Causal Structure Learning
    Rittel, Simon and Tschiatschek, Sebastian In: 26th European Conference on Artificial Intelligence ECAI 2023 , 30 Sep - 5 Oct 2023 , Kraków, Poland (2023)

    • S

  • Lacking mechanistic disease definitions and corresponding association data hamper progress in network medicine and beyond
    Sadegh, Sepideh and Skelton, James and Anastasi, Elisa and Anil, Wipat and Möller, Anna and Blumenthal, David B. and Kriege, Nils M. and Kronberg, Jaanika and Haller, Toomas and Kacprowski, Tim and Baumbach, Jan ISSN 2041-1723 (2023)

  • Semi-Supervised Embedding of Attributed Multiplex Networks
    Sadikaj, Ylli and Rass, Justus and Velaj, Yllka and Plant, Claudia In: Proceedings of the ACM Web Conference 2023, WWW 2023, Austin, TX, USA, 30 April 2023 - 4 May 2023 , 30 April - 04 May 2023 , Austin, TX, USA (2023)

  • Spectral Clustering of Attributed Multi-relational Graphs
    Sadikaj, Ylli and Velaj, Yllka and Behzadi, Sahar and Plant, Claudia CoRR, abs/23. ISSN 978-1-4503-8332-5 (2023)

  • Adapting a deep convolutional RNN model with imbalanced regression loss for improved spatio-temporal forecasting of extreme wind speed events in the short to medium range
    Scheepens, Daan and Schicker, Irene and Hlavackova-Schindler, Katerina and Plant, Claudia pp. 251-270 ISSN 1991-9603 Copernicus Publications (2023)

  • Applying Interdisciplinary Frameworks to Understand Algorithmic Decision-Making
    Schmude, Timothée and Koesten, Laura and Möller, Torsten and Tschiatschek, Sebastian In: ACM CHI Conference on Human Factors in Computing Systems 2023 , Apr 23-28 , Hamburg (2023)

  • On the Impact of Explanations on Understanding of Algorithmic Decision-Making
    Schmude, Timothée and Koesten, Laura and Möller, Torsten and Tschiatschek, Sebastian In: ACM FAccT Conference 2023 , 12-15 Jun 2023 , Chicago, USA (2023)

  • ACTC: Active Threshold Calibration for Cold-Start Knowledge Graph Completion
    Sedova, Anastasiia and Roth, Benjamin In: The 61st Annual Meeting of the Association for Computational Linguistics, 2023 , July 9-14, 2023 , Toronto, Canada (2023)

  • Learning with Noisy Labels by Adaptive Gradient-Based Outlier Removal
    Sedova, Anastasiia and Zellinger, Lena and Roth, Benjamin In: European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD) , 18-22 Sept 2023 , Turin, Italy (2023)

  • SepLL: Separating Latent Class Labels from Weak Supervision Noise
    Stephan, Andreas and Kougia, Vasiliki and Roth, Benjamin In: Findings of the Association for Computational Linguistics: EMNLP 2022 , 7-11 Dec 2022 , Abu Dhabi, United Arab Emirates (2023)

  • Posterior Consistency for Missing Data in Variational Autoencoders
    Sudak, Timur and Tschiatschek, Sebastian In: European Conference on Machine Learning and Principles and Practice of Knowledge Discovery 2023 , 18-22 Sep 2023 , Turin, Italy (2023)

  • Network Embedding via Deep Prediction Model
    Sun, Xin and Song, Zenghui and Yu, Yongbo and Dong, Junyu and Plant, Claudia and Böhm, Christian IEEE Trans. Big Data, 9 (2). pp. 455-470 ISSN 2332-7790 (2023)

    • T

  • CogMemLM: Human-Like Memory Mechanisms Improve Performance and Cognitive Plausibility of LLMs
    Thoma, Lukas and Weyers, Ivonne and Cano, Erion and Schweter, Stefan and Mueller, Jutta L and Roth, Benjamin In: Proceedings of the BabyLM Challenge at the 27th Conference on Computational Natural Language Learning , 6-10 Dec 2023 , Singapore (2023)

    • V

  • Teaching Data Science to Non-Computer Science Students: A Learner-Centered Approach
    Velaj, Yllka and Dolezal, Dominik and Ambros, Roland and Plant, Claudia and Motschnig, Renate In: 2023 IEEE Frontiers in Education Conference (FIE) , 18-21 Oct. 2023 , College Station, TX, USA (2023)

  • CSRCZ: A Dataset About Corporate Social Responsibility in Czech Republic
    Vogli, Xhesilda and Çano, Erion Discussion Paper. UNSPECIFIED (2023)

    • W

  • CaFe DBSCAN: A Density-based Clustering Algorithm for Causal Feature Learning
    Weber, Pascal and Miklautz, Lukas and Kumar, Akshey and Grosse-Wentrup, Moritz and Plant, Claudia In: 10th IEEE International Conference on Data Science and Advanced Analytics, DSAA 2023, Thessaloniki, Greece, October 9-13, 2023 , 9-13 Oct 2023 , Thessaloniki, Greece (2023)

    • Y

  • Incorporating User's Preference into Attributed Graph Clustering : Extended abstract
    Ye, Wei and Mautz, Dominik and Böhm, Christian and Singh, Ambuj K. and Plant, Claudia In: 39th IEEE International Conference on Data Engineering, ICDE 2023, Anaheim, CA, USA, April 3-7, 2023 , 3-7 Apr 2023 , Anaheim, CA (2023)

    • Z

  • Collecting observations for machine learning
    Zhang, Cheng and Wenbo, GONG and Turner, Richard and Tschiatschek, Sebastian and HERNÁNDEZ LOBATO, Josè Miguel Other. UNSPECIFIED (Submitted) (2023)

  • Weaker Than You Think: A Critical Look at Weakly Supervised Learning
    Zhu, Dawei and Shen, Xiaoyu and Mosbach, Marius and Stephan, Andreas and Klakow, Dietrich In: The 61st Annual Meeting of the Association for Computational Linguistics, 2023 , July 9-14, 2023 , Toronto, Canada (2023)

    • Ç

  • AlbMoRe: A Corpus of Movie Reviews for Sentiment Analysis in Albanian
    Çano, Erion Discussion Paper. UNSPECIFIED (2023)

  • AlbNER: A Corpus for Named Entity Recognition in Albanian
    Çano, Erion Discussion Paper. UNSPECIFIED (2023)

  • CSREU: A Novel Dataset about Corporate Social Responsibility and Performance Indicators
    Çano, Erion and Vogli, Xhesilda Discussion Paper. UNSPECIFIED (2023)

    • This list was generated on Tue Nov 5 17:19:19 2024 CET.
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