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Eine Ebene höherGruppiert nach: Dokumententyp |
Veröffentlichungsdatum
Anzahl der Publikationen: 31
2023
Ding, Zifeng; Wu, Jingpei; Li, Zongyue; Ma, Yunpu 
ORCID: https://orcid.org/0000-0001-6112-8794 und Tresp, Volker ORCID: https://orcid.org/0000-0001-9428-3686
(2023):
Improving Few-Shot Inductive Learning on Temporal Knowledge Graphs Using Confidence-Augmented Reinforcement Learning.
European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), Turin, Italy, Sep 18-22, 2023.
Koutra, Danai; Plant, Claudia; Gomez Rodriguez, Manuel; Baralis, Elena und Bonchi, Francesco (Hrsg.):
In: Machine Learning and Knowledge Discovery in Databases: Research Track,
Bd. 14171
Cham: Springer. S. 550-566
ORCID: https://orcid.org/0000-0001-6112-8794 und Tresp, Volker ORCID: https://orcid.org/0000-0001-9428-3686
(2023):
Improving Few-Shot Inductive Learning on Temporal Knowledge Graphs Using Confidence-Augmented Reinforcement Learning.
European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), Turin, Italy, Sep 18-22, 2023.
Koutra, Danai; Plant, Claudia; Gomez Rodriguez, Manuel; Baralis, Elena und Bonchi, Francesco (Hrsg.):
In: Machine Learning and Knowledge Discovery in Databases: Research Track,
Bd. 14171
Cham: Springer. S. 550-566
Rauch, Lukas; Aßenmacher, Matthias ORCID: https://orcid.org/0000-0003-2154-5774; Huseljic, Denis; Wirth, Moritz; Bischl, Bernd ORCID: https://orcid.org/0000-0001-6002-6980 und Sick, Bernhard
(2023):
ActiveGLAE: A Benchmark for Deep Active Learning with Transformers.
European Conference, ECML PKDD 2023, Turin, Italy, September 18–22, 2023.
Koutra, Danai ORCID: https://orcid.org/0000-0002-3206-8179; Plant, Claudia ORCID: https://orcid.org/0000-0001-5274-8123; Gomez Rodriguez, Manuel ORCID: https://orcid.org/0000-0003-3930-1161; Baralis, Elena ORCID: https://orcid.org/0000-0001-9231-467X und Bonchi, Francesco ORCID: https://orcid.org/0000-0001-9464-8315 (Hrsg.):
In: Machine Learning and Knowledge Discovery in Databases: Research Track : European Conference, ECML PKDD 2023, Turin, Italy, September 18–22, 2023, Proceedings, Part I,
Bd. 14169
Cham: Springer. S. 55-74
ORCID: https://orcid.org/0000-0003-2154-5774; Huseljic, Denis; Wirth, Moritz; Bischl, Bernd ORCID: https://orcid.org/0000-0001-6002-6980 und Sick, Bernhard
(2023):
ActiveGLAE: A Benchmark for Deep Active Learning with Transformers.
European Conference, ECML PKDD 2023, Turin, Italy, September 18–22, 2023.
Koutra, Danai ORCID: https://orcid.org/0000-0002-3206-8179; Plant, Claudia ORCID: https://orcid.org/0000-0001-5274-8123; Gomez Rodriguez, Manuel ORCID: https://orcid.org/0000-0003-3930-1161; Baralis, Elena ORCID: https://orcid.org/0000-0001-9231-467X und Bonchi, Francesco ORCID: https://orcid.org/0000-0001-9464-8315 (Hrsg.):
In: Machine Learning and Knowledge Discovery in Databases: Research Track : European Conference, ECML PKDD 2023, Turin, Italy, September 18–22, 2023, Proceedings, Part I,
Bd. 14169
Cham: Springer. S. 55-74
Dandl, Susanne ORCID: https://orcid.org/0000-0003-4324-4163; Casalicchio, Giuseppe ORCID: https://orcid.org/0000-0001-5324-5966; Bischl, Bernd ORCID: https://orcid.org/0000-0001-6002-6980 und Bothmann, Ludwig ORCID: https://orcid.org/0000-0002-1471-6582
(2023):
Interpretable Regional Descriptors: Hyperbox-Based Local Explanations.
ECML PKDD 2023, Torino, Italy, September 18 -22 2023.
Koutra, Danai; Plant, Claudia; Gomez Rodriguez, Manuel; Baralis, Elena und Bonchi, Francesco (Hrsg.):
In: Machine Learning and Knowledge Discovery in Databases : Research Track : European conference, ECML PKDD 2023, Turin, Italy, September 18-22, 2023 : proceedings,
Bd. 14171
Cham: Springer. S. 479-495
ORCID: https://orcid.org/0000-0003-4324-4163; Casalicchio, Giuseppe ORCID: https://orcid.org/0000-0001-5324-5966; Bischl, Bernd ORCID: https://orcid.org/0000-0001-6002-6980 und Bothmann, Ludwig ORCID: https://orcid.org/0000-0002-1471-6582
(2023):
Interpretable Regional Descriptors: Hyperbox-Based Local Explanations.
ECML PKDD 2023, Torino, Italy, September 18 -22 2023.
Koutra, Danai; Plant, Claudia; Gomez Rodriguez, Manuel; Baralis, Elena und Bonchi, Francesco (Hrsg.):
In: Machine Learning and Knowledge Discovery in Databases : Research Track : European conference, ECML PKDD 2023, Turin, Italy, September 18-22, 2023 : proceedings,
Bd. 14171
Cham: Springer. S. 479-495
Leiber, Collin ORCID: https://orcid.org/0000-0001-5368-5697; Miklautz, Lukas ORCID: https://orcid.org/0000-0002-2585-5895; Plant, Claudia ORCID: https://orcid.org/0000-0001-5274-8123 und Böhm, Christian ORCID: https://orcid.org/0000-0002-2237-9969
(2023):
Application of Deep Clustering Algorithms.
CIKM '23: The 32nd ACM International Conference on Information and Knowledge Management, Birmingham, United Kingdom, October 21 - 25, 2023.
ACM International Conference on Information and Knowledge Management (Hrsg.),
In: Proceedings of the 32nd ACM International Conference on Information and Knowledge Management,
New York, NY, United States: Association for Computing Machinery. S. 5208-5211
[PDF, 1MB]
ORCID: https://orcid.org/0000-0001-5368-5697; Miklautz, Lukas ORCID: https://orcid.org/0000-0002-2585-5895; Plant, Claudia ORCID: https://orcid.org/0000-0001-5274-8123 und Böhm, Christian ORCID: https://orcid.org/0000-0002-2237-9969
(2023):
Application of Deep Clustering Algorithms.
CIKM '23: The 32nd ACM International Conference on Information and Knowledge Management, Birmingham, United Kingdom, October 21 - 25, 2023.
ACM International Conference on Information and Knowledge Management (Hrsg.),
In: Proceedings of the 32nd ACM International Conference on Information and Knowledge Management,
New York, NY, United States: Association for Computing Machinery. S. 5208-5211
[PDF, 1MB]
Leiber, Collin ORCID: https://orcid.org/0000-0001-5368-5697; Miklautz, Lukas; Plant, Claudia ORCID: https://orcid.org/0000-0001-5274-8123 und Böhm, Christian ORCID: https://orcid.org/0000-0003-3807-7831
(2023):
Benchmarking Deep Clustering Algorithms With ClustPy.
2023 IEEE International Conference on Data Mining Workshops (ICDMW), Shanghai, China, 01-04 December 2023.
Wang, Jihe; He, Yi; Dinh, Thang N.; Gran, Christan; Qiu, Meikang und Pedrycz, Witold (Hrsg.):
In: 2023 IEEE International Conference on Data Mining Workshops (ICDMW),
Piscataway, NJ: IEEE. S. 625-632
ORCID: https://orcid.org/0000-0001-5368-5697; Miklautz, Lukas; Plant, Claudia ORCID: https://orcid.org/0000-0001-5274-8123 und Böhm, Christian ORCID: https://orcid.org/0000-0003-3807-7831
(2023):
Benchmarking Deep Clustering Algorithms With ClustPy.
2023 IEEE International Conference on Data Mining Workshops (ICDMW), Shanghai, China, 01-04 December 2023.
Wang, Jihe; He, Yi; Dinh, Thang N.; Gran, Christan; Qiu, Meikang und Pedrycz, Witold (Hrsg.):
In: 2023 IEEE International Conference on Data Mining Workshops (ICDMW),
Piscataway, NJ: IEEE. S. 625-632
2022
Miklautz, Lukas; Teuffenbach, Martin; Weber, Pascal; Perjuci, Rona; Durani, Walid; Böhm, Christian und Plant, Claudia
(2022):
Deep Clustering With Consensus Representations.
22nd IEEE International Conference on Data Mining (ICDM), Orlando, Florida, USA, November 28 - December 1, 2022.
In: 2022 IEEE International Conference on Data Mining (ICDM),
IEEE. S. 1119-1124
Durani, Walid; Mautz, Dominik; Plant, Claudia und Böhm, Christian
(2022):
DBHD: Density-based clustering for highly varying density.
2022 IEEE International Conference on Data Mining (ICDM), Orlando, FL, USA, 28 November 2022 - 01 December 2022.
In: 2022 IEEE International Conference on Data Mining (ICDM),
S. 921-926
2021
Ye, Wei; Mautz, Dominik; Böhm, Christian; Singh, Ambuj und Plant, Claudia
(2021):
Incorporating User's Preference into Attributed Graph Clustering.
In: IEEE Transactions on Knowledge and Data Engineering, Bd. 33, Nr. 12: S. 3716-3728
Sun, Xin; Yu, Yongbo; Liang, Yao; Dong, Junyu; Plant, Claudia und Böhm, Christian
(2021):
Fusing attributed and topological global-relations for network embedding.
In: Information Sciences, Bd. 558: S. 76-90
Böhm, Christian; Perdacher, Martin und Plant, Claudia
(2021):
A Novel Hilbert Curve for Cache-Locality Preserving Loops.
In: IEEE Transactions on Big Data, Bd. 7, Nr. 2: S. 241-254
Qian, Li; Plant, Claudia und Bohm, Christian
(2021):
Density-Based Clustering for Adaptive Density Variation.
2021 IEEE International Conference on Data Mining (ICDM), Auckland, New Zealand, 07-10 December 2021.
In: 2021 IEEE International Conference on Data Mining (ICDM),
New York: IEEE. S. 1282-1287
Leiber, Collin; Bauer, Lena G. M.; Schelling, Benjamin; Böhm, Christian und Plant, Claudia
(2021):
Dip-based Deep Embedded Clustering with k-Estimation.
KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Singapore, August 14 - 18, 2021.
In: Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining,
New York: ACM. S. 903-913
2020
Mautz, Dominik; Ye, Wei; Plant, Claudia und Boehm, Christian
(2020):
Non-Redundant Subspace Clusterings with Nr-Kmeans and Nr-DipMeans.
In: ACM Transactions on Knowledge Discovery From Data, Bd. 14, Nr. 5, 55
Altinigneli, Muzaffer Can; Miklautz, Lukas; Bohm, Christian und Plant, Claudia
(2020):
Hierarchical Quick Shift Guided Recurrent Clustering.
In: 2020 IEEE 36Th International Conference on Data Engineering (Icde 2020): S. 1842-1845
Boehm, Christian und Plant, Claudia
(2020):
Massively Parallel Graph Drawing and Representation Learning.
In: 2020 IEEE International Conference on Big Data (Big Data): S. 609-616
Miklautz, Lukas; Mautz, Dominik; Altinigneli, Muzaffer Can; Boehm, Christian und Plant, Claudia
(2020):
Deep Embedded Non-Redundant Clustering.
In: Thirty-Fourth Aaai Conference on Artificial Intelligence, the Thirty-Second Innovative Applications of Artificial Intelligence Conference and the Tenth Aaai Symposium on Educational Advances in Artificial Intelligence, Bd. 34: S. 5174-5181
Behzadi, Sahar; Müller, Nikola S.; Plant, Claudia und Boehm, Christian
(2020):
Clustering of mixed-type data considering concept hierarchies: problem specification and algorithm.
In: International Journal of Data Science and Analytics, Bd. 10, Nr. 3: S. 233-248
Mautz, Dominik; Plant, Claudia und Boehm, Christian
(2020):
DeepECT: The Deep Embedded Cluster Tree.
In: Data Science and Engineering, Bd. 5, Nr. 4: S. 419-432
2019
Sun, Xin; Song, Zenghui; Dong, Junyu; Yu, Yongbo; Plant, Claudia und Boehm, Christian
(2019):
Network Structure and Transfer Behaviors Embedding via Deep Prediction Model.
In: Thirty-Third Aaai Conference on Artificial Intelligence / Thirty-First Innovative Applications of Artificial Intelligence Conference / Ninth Aaai Symposium on Educational Advances in Artificial Intelligence: S. 5041-5048
Perdacher, Martin; Plant, Claudia und Boehm, Christian
(2019):
Cache-oblivious High-performance Similarity Join.
In: Sigmod '19: Proceedings of the 2019 International Conference on Management of Data: S. 87-104
2018
Mautz, Dominik; Ye, Wei; Plant, Claudia und Böhm, Christian
(2018):
Discovering Non-Redundant K-means Clusterings in Optimal Subspaces.
In: Kdd'18: Proceedings of the 24Th Acm Sigkdd International Conference on Knowledge Discovery & Data Mining: S. 1973-1982
2017
Zhou, Linfei; Plant, Claudia und Böhm, Christian
(2017):
Joint Gaussian Based Measures for Multiple-Instance Learning.
2017 IEEE 33rd International Conference on Data Engineering (ICDE), San Diego, CA, 19-22 April 2017.
Institute of Electrical and Electronics Engineers (Hrsg.),
In: ICDE 2017 : 2017 IEEE 33rd International Conference on Data Engineering : 19-22 April 2017, San Diego, California, USA : proceedings,
Piscataway, NJ: IEEE. S. 203-206
Shao, Junming; Wang, Xinzuo; Yang, Qinli; Plant, Claudia und Böhm, Christian
(2017):
Synchronization-based scalable subspace clustering of high-dimensional data.
In: Knowledge and information Systems, Bd. 52, Nr. 1: S. 83-111
2016
Böhm, Christian; Perdacher, Martin und Plant, Claudia
(2016):
Cache-oblivious Loops Based on a Novel Space-filling Curve.
2016 IEEE International Conference on Big Data (Big Data), Washington D.C., USA, 5-8 December 2016.
IEEE Computer Society. S. 17-26
Mautz, Dominik; Böhm, Christian und Plant, Claudia
(2016):
Subspace Clustering Ensembles Through Tensor Decomposition.
IEEE 16th International Conference on Data Mining Workshops (ICDMW), Barcelona, Catalonia, Spain, 12-15 Dec. 2016.
IEEE Computer Society. S. 1225-1234
Zhou, Linfei; Wackersreuther, Bianca; Fiedler, Frank; Plant, Claudia und Böhm, Christian
(2016):
Gaussian Component based Index for GMMs.
In: 2016 IEEE 16th international Conference On Data Mining (ICDM): S. 1365-1370
Ye, Wei; Maurus, Samuel; Hubig, Nina und Plant, Claudia
(2016):
Generalized Independent Subspace Clustering.
IEEE 16th International Conference on Data Mining (ICDM), Barcelona, Catalonia, Spain, 12-15 Dec. 2016.
IEEE Computer Society. S. 569-578
Goebl, Sebastian; Tonch, Annika; Böhm, Christian und Plant, Claudia
(2016):
MeGS: Partitioning Meaningful Subgraph Structures using Minimum Description Length.
2016 IEEE 16th International Conference on Data Mining (ICDM), Barcelona, Catalonia, Spain, 12-15 Dec. 2016.
IEEE Computer Soc.. S. 889-894
Zhou, Linfei; Georgii, Elisabeth; Plant, Claudia und Böhm, Christian
(2016):
Covariate-Related Structure Extraction from Paired Data.
In: Renda, M. Elena (Hrsg.):
Information Technology in Bio- and Medical Informatics: 7th International Conference, ITBAM 2016, Porto, Portugal, September 5-8, 2016, Proceedings. Information Systems and Applications, incl. Internet/Web, and HCI, Bd. 9832. Cham: Springer. S. 151-162
2015
Yang, Qinli; Boehm, Christian; Scholz, Miklas; Plant, Claudia und Shao, Junming
(2015):
Predicting Multiple Functions of Sustainable Flood Retention Basins under Uncertainty via Multi-Instance Multi-Label Learning.
In: Water, Bd. 7, Nr. 4: S. 1359-1377
[PDF, 2MB]
2013
Retter, Felix; Plant, Claudia; Burgeth, Bernhard; Botella, Guillermo; Schlossbauer, Thomas und Meyer-Baese, Anke
(2013):
Computer-aided diagnosis for diagnostically challenging breast lesions in DCE-MRI based on image registration and integration of morphologic and dynamic characteristics.
In: Eurasip Journal On Advances in Signal Processing, 157
[PDF, 433kB]