Items where Research Area is "Data Mining and Machine Learning" and Year is 2020

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Number of items: 36.

A

  • The Data Mining Group at University of Vienna
    Altinigneli, Muzaffer Can and Bauer, Lena G. M. and Behzadi, Sahar and Fritze, Robert and Schindlerova (Hlavackova-Schindler), Katerina and Leodolter, Maximilian and Miklautz, Lukas and Perdacher, Martin and Sadikaj, Ylli and Schelling, Benjamin and Plant, Claudia Datenbank-Spektrum, 20 (1). pp. 71-79 ISSN 1618-2162 (2020)

  • Hierarchical Quick Shift Guided Recurrent Clustering
    Altinigneli, Muzaffer Can and Miklautz, Lukas and Böhm, Christian and Plant, Claudia In: 36th IEEE International Conference on Data Engineering, ICDE 2020 , 20-24 Apr 2020 , Dallas, Texas, USA (2020)

  • Infraglottic versus supraglottic jet-ventilation for endobronchial ultrasound-guided transbronchial needle aspiration
    Anwar, Maria and Fritze, Robert and Base, Eva and Wasserscheid, Thomas and Wolfram, Nadja and Koinig, Herbert and Hackner, Klaus and Lambers, Christopher and Schweiger, Thomas and Errhalt, Peter and Hoda, Mir A. European Journal of Anaesthesiology, 37 (11). pp. 999-1007 ISSN 0265-0215 Walter Kluver (2020)

    • B

  • Edge Minimization in de Bruijn Graphs
    Baier, Uwe and Büchler, Thomas and Ohlebusch, Enno and Weber, Pascal In: 30th Data Compression Conference (DCC) , 24-27.03.2020 , Snowbird, UT, USA (2020)

  • AMRL: Aggregated Memory For Reinforcement Learning
    Beck, Jacob and Ciosek, Kamil and Devlin, Sam and Tschiatschek, Sebastian and Zhang, Cheng and Hofmann, Katja In: Eighth International Conference on Learning Representations (ICLR) , 26.-30.04.2020 , Addis Ababa, Ethiopia (2020)

  • Clustering of mixed-type data considering concept hierarchies: problem specification and algorithm
    Behzadi Soheil, Sahar and Müller, Nikola and Plant, Claudia and Böhm, Christian pp. 233-248 ISSN 2364-4168 Springer (2020)

  • ITGH: Information-theoretic Granger Causal Inference on Heterogeneous Data
    Behzadi Soheil, Sahar and Schelling, Benjamin and Plant, Claudia In: The 24th Pacific-Asia Conference on Knowledge Discovery and Data Mining , 11-14 May 2020 , Singapore, Singapore (Online Conference) (2020)

  • Massively Parallel Graph Drawing and Representation Learning
    Böhm, Christian and Plant, Claudia In: IEEE International Conference on Big Data (Big Data) , 10.-13.12.2020 , Atlanta, Georgia USA (2020)

  • Massively Parallel Random Number Generation
    Böhm, Christian and Plant, Claudia In: IEEE International Conference on Big Data (Big Data) , 10.-13.12.2020 , Atlanta, Georgia USA (2020)

    • C

  • A machine learning approach to understanding patterns of engagement with internet-delivered mental health interventions
    Chien, Isabel and Enrique, Angel and Palacios, Jorge and Regan, Tim and Keegan, Dessie and Carter, David and Tschiatschek, Sebastian and Nori, Aditya and Thieme, Anja and Richards, Derek and Doherty, Gavin and Belgrave, Danielle JAMA network open, 3 (7). e2010791-e2010791 ISSN 25743805 American Medical Association (2020)

  • Maximum Cut Parameterized by Crossing Number
    Chimani, Markus and Dahn, Christine and Juhnke-Kubitzke, Martina and Kriege, Nils M. and Mutzel, Petra and Nover, Alexander Journal of Graph Algorithms and Applications, 24 (3). pp. 155-170 ISSN 1526-1719 (2020)

    • F

  • Deep Graph Matching Consensus
    Fey, Matthias and Lenssen, Jan E. and Morris, Christopher and Masci, Jonathan and Kriege, Nils M. In: Eighth International Conference on Learning Representations (ICLR) , 30.04.-01.05.2020 , Addis Ababa, Ethiopia (2020)

    • G

  • Towards Deployment of Robust Cooperative AI Agents: An Algorithmic Framework for Learning Adaptive Policies
    Ghosh, Ahana and Tschiatschek, Sebastian and Mahdavi, Hamed and Singla, Adish In: 19th International Conference on Autonomous Agents and MultiAgent Systems (AAMAS) , 09.-13.05.2020 , Auckland (NZ); Virtual (Covid) (2020)

    • H

  • Replication-Robust Payoff-Allocation for Machine Learning Data Markets
    Han, Dongge and Wooldridge, Michael and Rogers, Alex and Tople, Shruti and Ohrimenko, Olga and Tschiatschek, Sebastian Working Paper. CoRR arXiv (Submitted) (2020)

  • Graphical Granger causality by information-theoretic criteria
    Hlavackova-Schindler, Katerina and Plant, Claudia In: 24th European Conference on Artificial Intelligence 2020 , 29 Aug - 08 Sep 2020 , Santiago de Compostela (2020)

  • Heterogeneous graphical Granger causality by minimum message length
    Hlavackova-Schindler, Katerina and Plant, Claudia pp. 1-21 ISSN 1099-4300 MDPI (2020)

  • Poisson graphical Granger causality by minimum message length
    Hlavackova-Schindler, Katerina and Plant, Claudia In: European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases 2020 , 14-18 Sep 2020 , Ghent, Belgium (2020)

    • K

  • A survey on graph kernels
    Kriege, Nils M. and Johansson, Fredrik D. and Morris, Christopher Applied Network Science, 5 (1). ISSN 2364-8228 Springer Science and Business Media LLC (2020)

    • M

  • HM-VAEs: a Deep Generative Model for Real-valued Data with Heterogeneous Marginals
    Ma, Chao and Tschiatschek, Sebastian and Li, Yingzhen and Turner, Richard and Hernandez-Lobato, Jose Miguel and Zhang, Cheng In: 2nd Symposium on Advances in Approximate Bayesian Inference (AABI) , 08.12.2019 , Vancouver (2020)

  • VAEM: a Deep Generative Model for Heterogeneous Mixed Type Data
    Ma, Chao and Tschiatschek, Sebastian and Turner, Richard E and Hernandez-Lobato, Jose Miguel and Zhang, Cheng In: Thirty-fourth Conference on Neural Information Processing Systems (NeurIPS) , 06.-12.12.2020 , Virtual (2020)

  • DeepECT: The Deep Embedded Cluster Tree
    Mautz, Dominik and Plant, Claudia and Böhm, Christian Data Sci. Eng., 5 (4). pp. 419-432 ISSN 23748486 (2020)

  • Non-Redundant Subspace Clusterings with Nr-Kmeans and Nr-DipMeans
    Mautz, Dominik and Ye, Wei and Plant, Claudia and Böhm, Christian ACM Trans. Knowl. Discov. Data, 14 (5). 55:1-55:24 ISSN 1556-4681 (2020)

  • Deep Embedded Non-Redundant Clustering
    Miklautz, Lukas and Mautz, Dominik and Altinigneli, M. C. and Böhm, Christian and Plant, Claudia In: 34th AAAI Conference on Artificial Intelligence , 07-12 Feb 2020 , New York (2020)

  • TUDataset: A collection of benchmark datasets for learning with graphs
    Morris, Christopher and Kriege, Nils M. and Bause, Franka and Kersting, Kristian and Mutzel, Petra and Neumann, Marion In: ICML 2020 Workshop on Graph Representation Learning and Beyond (GRL+ 2020) , 17.07.2020 , Vienna, Austria (2020)

    • O

  • Classifying Dissemination Processes in Temporal Graphs
    Oettershagen, Lutz and Kriege, Nils M. and Morris, Christopher and Mutzel, Petra Big Data, 8 (5). pp. 363-378 ISSN 2167-6461 Mary Ann Liebert, Inc. (2020)

  • Temporal Graph Kernels for Classifying Dissemination Processes
    Oettershagen, Lutz and Kriege, Nils M. and Morris, Christopher and Mutzel, Petra In: SIAM International Conference on Data Mining (SDM) , 07.-09.05.2020 , Cincinnati, Ohio, USA (2020)

    • P

  • Feature selection, ensemble learning, and artificial neural Networks for Short-Range Wind Speed Forecasts
    Papazek, Petrina and Schicker, Irene and Plant, Claudia and Kann, Alexander and Wang, Yong Meteorologische Zeitschrift, 29. ISSN 0941-2948 (2020)

  • Improved Data Locality Using Morton-order Curve on the Example of LU Decomposition
    Perdacher, Martin and Plant, Claudia and Böhm, Christian In: IEEE International Conference on Big Data (Big Data) , 10.-13.12.2020 , Atlanta, Georgia USA (2020)

  • Data Compression as a Comprehensive Framework for Graph Drawing and Representation Learning
    Plant, Claudia and Biedermann, Sonja and Böhm, Christian In: KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Virtual Event, CA, USA, August 23-27, 2020 , 23-27 Aug 2020 , San Diego, USA (Virtual Conference) (2020)

    • R

  • Resource-Efficient Neural Networks for Embedded Systems
    Roth, Wolfgang and Schindler, Günther and Zöhrer, Matthias and Pfeifenberger, Lukas and Peharz, Robert and Tschiatschek, Sebastian and Fröning, Holger and Pernkopf, Franz and Ghahramani, Zoubin Working Paper. CoRR arXiv (Submitted) (2020)

    • S

  • Utilizing Structure-rich Features to improve Clustering
    Schelling, Benjamin and Bauer, Lena G. M. and Behzadi, Sahar and Plant, Claudia In: The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases 2020 , 14. - 18.9.2020 , Ghent, Belgium (2020)

  • Non-linear Cluster Enhancement: Forcing Clusters into a compact shape
    Schelling, Benjamin and Miklautz, Lukas and Plant, Claudia In: 24th European Conference on Artificial Intelligence , 29 Aug - 08 Sep 2020 , Santiago de Compostela, Spain (Online Conference) (2020)

  • Dataset-Transformation: improving clustering by enhancing the structure with DipScaling and DipTransformation
    Schelling, Benjamin and Plant, Claudia Knowl. Inf. Syst., 62 (2). pp. 457-484 ISSN 0219-1377 (2020)

  • RandomLink - Avoiding Linkage-Effects by employing Random Effects for Clustering
    Sluiter, Gert and Schelling, Benjamin and Plant, Claudia In: 31st International Conference on Database and Expert Systems Applications , 14-17 Sep 2020 , Bratislava, Slovakia (2020)

    • T

  • Subverting Network Intrusion Detection: Crafting Adversarial Examples Accounting for Domain-Specific Constraints
    Teuffenbach, Martin and Piatkowska, Ewa and Smith, Paul In: CD-Make International Cross-Domain Conference for Machine Learning and Knowledge Extraction , 25.-28.08.2020 , Dublin, Irland (2020)

    • Y

  • Reinforcement Learning with Efficient Active Feature Acquisition
    Yin, Haiyan and Li, Yingzhen and Pan, Sinno Jialin and Zhang, Cheng and Tschiatschek, Sebastian Working Paper. CoRR arXiv (Submitted) (2020)

    • This list was generated on Tue Nov 5 02:20:42 2024 CET.
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