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

Up a level
Export as [feed] Atom [feed] RSS 1.0 [feed] RSS 2.0
Group by: Creators | Category | No Grouping
Jump to: B | H | L | M | R | S
Number of items: 6.

B

  • 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

  • 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: The Twelfth International Conference on Learning Representations 2024 , May 7-11, 2024 , Vienna, Austria (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

  • 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 Tue May 7 22:04:04 2024 CEST.
    Universität Wien| Fakultät für Informatik | Währinger Straße 29 | 1090 Wien | T +43-1-4277-780 01 | Imprint | Webteam
    EPrints Logo
    CS is powered by EPrints 3 which is developed by the School of Electronics and Computer Science at the University of Southampton. More information and software credits.