Items where Research Area is "Data Mining and Machine Learning" and Year is 2024

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Number of items: 13.

B

  • Advancing Anomaly Detection: Non-Semantic Financial Data Encoding with LLMs
    Bakumenko, Alexander and Hlavackova-Schindler, Katerina and Plant, Claudia and Hubig, Nina ISSN Machine Learning Arxiv (2024)

  • On the Two Sides of Redundancy in Graph Neural Networks
    Bause, Franka and Moustafa, Samir and Langguth, Johannes and Gansterer, Wilfried and Kriege, Nils M. In: European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2024) , 9.9.-13.9.2024 , Vilnius, Litauen (2024)

  • Approximating the Graph Edit Distance with Compact Neighborhood Representations
    Bause, Franka and Permann, Christian and Kriege, Nils M. In: European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2024) , 9.9.-13.9.2024 , Vilnius, Litauen (2024)

  • Exploring artificial intelligence for applications of drones in forest ecology and management
    Buchelt, Alexander and Adrowitzer, Alexander and Kieseberg, Peter and Gollob, Christoph and Nothdurft, Arne and Eresheim, Sebastian and Tschiatschek, Sebastian and Stampfer, Karl and Holzinger, Andreas ISSN 0378-1127 (2024)

    • H

  • Causal Discovery among Wind-related Variables in a Wind Farm under Extreme Wind Speed Scenarios: Comparison of Results using Granger Causality and Interactive k-Means Clustering
    Hlavackova-Schindler, Katerina and Hoxhallari, Kejsi and Caumel Morales, Luis and Schicker, Irene and Plant, Claudia In: EGU 2024 - Many shades of causality analysis in Earth Sciences: Methods, challenges and applications , May, 18, 2024 , Vienna, Austria (2024)

  • Granger Causal Inference in Multivariate Hawkes Processes by Minimum Message Length
    Hlavackova-Schindler, Katerina and Melnykova, Anna and Tubikanec, Irene pp. 1-26 ISSN 1532-4435 Microtome Publishing (2024)

  • Detection of Meteorological Variables in a Wind Farm Influencing the Extreme Wind Speed by Heterogenerous Granger Causality
    Hlavackova-Schindler, Katerina and Schicker, Irene and Hoxhallari, Kejsi and Plant, Claudia In: ICLR 2024 Workshop: Tackling Climate Change with Machine Learning , May 7-11, 2024 , Vienna, Austria (2024)

    • K

  • Attacking Graph Neural Networks with Bit Flips: Weisfeiler and Leman Go Indifferent
    Kummer, Lorenz and Moustafa, Samir and Schrittwieser, Sebastian and Gansterer, Wilfried and Kriege, Nils M. In: ACM International Conference on Knowledge Discovery and Data Mining 2024 , 25th - 29th August, 2024 , Barcelona, Centre de Convencions Internacional de Barcelona (2024)

    • L

  • Contrastive Tuning: A Little Help to Make Masked Autoencoders Forget
    Lehner, Johannes and Alkin, Benedikt and Fürst, Andreas and Rumetshofer, Elisabeth and Miklautz, Lukas and Hochreiter, Sepp In: The 38th Annual AAAI Conference on Artificial Intelligence , February 20-27, 2024 , Vancouver, Canada, Vancouver Convention Centre – West Building (2024)

    • M

  • graphLambda: Fusion Graph Neural Networks for Binding Affinity Prediction
    Mqawass, Ghaith and Popov, Petr ISSN 1549-9596 (2024)

    • R

  • On Differentiable Bayesian Causal Structure Learning
    Rittel, Simon and Tschiatschek, Sebastian In: 40th Conference on Uncertainty in Artifical Intelligence , 15.-19.07.2024 , Barcelona, Spain (2024)

  • Resource-Efficient Neural Networks for Embedded Systems
    Roth, Wolfgang and Schindler, Günther and Klein, Bernhard and Peharz, Robert and Tschiatschek, Sebastian and Fröning, Holger and Pernkopf, Franz and Ghahramani, Zoubin pp. 1-51 ISSN 1532-4435 (2024)

    • S

  • ULF: Unsupervised Labeling Function Correction using Cross-Validation for Weak Supervision
    Sedova, Anastasiia and Roth, Benjamin In: Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing , 6-10 Dec 2023 , Singapore (2024)

    • This list was generated on Sat Sep 14 05:43:57 2024 CEST.
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