Search Results - Machine Learning and Data Mining for Sports Analytics

Refine Results
  1. 1

    Augmented intelligence for FIFA predictions

    Jethuri, K., Emmadi, S. C., Samudrala, S., Natarajan, J., Ghotkar, P., Natu, M. Collective title: “…Machine Learning and Data Mining for Sports Analytics. …”
    Save to List
    Saved in:
    Access source
  2. 2

    Masked autoencoder pretraining for event classification in elite soccer

    Rudolph, Y., Brefeld, U. Collective title: “…Machine Learning and Data Mining for Sports Analytics. …”
    Save to List
    Saved in:
    Access source
  3. 3

    Pass receiver and outcome prediction in soccer using temporal graph networks

    Rahimian, P., Kim, H., Schmid, M., Toka, L. Collective title: “…Machine Learning and Data Mining for Sports Analytics. …”
    Save to List
    Saved in:
    Access source
  4. 4

    Field depth matters: Comparing the valuation of passes in football

    de Sá-Freire, L. M., Vaz-de-Melo, P. O. S. Collective title: “…Machine Learning and Data Mining for Sports Analytics. …”
    Save to List
    Saved in:
    Access source
  5. 5

    Towards expected counter - using comprehensible features to predict counterattacks

    Biermann, H., Wieland, F. G., Timmer, J., Memmert, D., Phatak, A. Collective title: “…Machine Learning and Data Mining for Sports Analytics. …”
    Save to List
    Saved in:
    Access source
  6. 6

    Shot analysis in different levels of German football using expected goals

    Raudonius, L., Seidl, T. Collective title: “…Machine Learning and Data Mining for Sports Analytics. …”
    Save to List
    Saved in:
    Access source
  7. 7

    Analyzing passing sequences for the prediction of goal-scoring opportunities

    McCarthy, C., Tampakis, P., Chiarandini, M., Randers, M. B., Jänicke, S., Zimek, A. Collective title: “…Machine Learning and Data Mining for Sports Analytics. …”
    Save to List
    Saved in:
    Access source
  8. 8

    Let's penetrate the defense: a machine learning model for prediction and valuation of penetrative passes

    Rahimian, P., da Silva Guerra Gomes, D. G., Berkovics, F., Toka, L. Collective title: “…Machine Learning and Data Mining for Sports Analytics. …”
    Save to List
    Saved in:
    Access source
  9. 9

    Evaluation of creating scoring opportunities for teammates in soccer via trajectory prediction

    Teranishi, M., Tsutsui, K., Takeda, K., Fujii, K. Collective title: “…Machine Learning and Data Mining for Sports Analytics. …”
    Save to List
    Saved in:
    Access source
  10. 10

    Cost-efficient and bias-robust sports player tracking by integrating GPS and video

    Kim, H., Kim, C. J., Jeong, M., Lee, J., Yoon, J., Ko, S. K. Collective title: “…Machine Learning and Data Mining for Sports Analytics. …”
    Save to List
    Saved in:
    Access source
  11. 11

    6MapNet: Representing soccer players from tracking data by a triplet network

    Kim, H., Kim, J., Chung, D., Lee, J., Yoon, J., Ko, S.-K. Collective title: “…Machine Learning and Data Mining for Sports Analytics. …”
    Save to List
    Saved in:
    Access source
  12. 12

    A career in football: What is behind an outstanding market value?

    Acs, B., Toka, L. Collective title: “…Machine Learning and Data Mining for Sports Analytics. …”
    Save to List
    Saved in:
    Access source
  13. 13

    Inferring the strategy of offensive and defensive play in soccer with inverse reinforcement learning

    Rahimian, P., Toka, L. Collective title: “…Machine Learning and Data Mining for Sports Analytics. …”
    Save to List
    Saved in:
    Access source
  14. 14

    Predicting player transfers in the small world of football

    Kovacs, R., Toka, L. Collective title: “…Machine Learning and Data Mining for Sports Analytics. …”
    Save to List
    Saved in:
    Access source
  15. 15

    Similarity of football players using passing sequences

    Barbosa, A., Ribeiro, P., Dutra, I. Collective title: “…Machine Learning and Data Mining for Sports Analytics. …”
    Save to List
    Saved in:
    Access source
  16. 16

    The interpretable representation of football player roles based on passing/receiving patterns

    Sattari, A., Johansson, U., Wilderoth, E., Jakupovic, J., Larsson-Green, P. Collective title: “…Machine Learning and Data Mining for Sports Analytics. …”
    Save to List
    Saved in:
    Access source
  17. 17

    An autoencoder based approach to simulate sports games

    Vaswani, A., Ganguly, R., Shah, H., Ranjit, S, S., Pandit, S., Bothara, S. “…Machine Learning and Data Mining for Sports Analytics…”
    Save to List
    Saved in:
    Access source
  18. 18

    Physical performance optimization in football

    Dobreff, G., Revisnyei, P., Schuth, G., Szigeti, G., Toka, L., Pašic, A. “…Machine Learning and Data Mining for Sports Analytics…”
    Save to List
    Saved in:
    Access source
  19. 19

    Routine Inspection: A Playbook for Corner Kicks

    Shaw, L., Gopaladesikan, S. “…Machine Learning and Data Mining for Sports Analytics…”
    Save to List
    Saved in:
    Access source
  20. 20

    Low-cost optical tracking of soccer players

    Csanalosi, G., Dobreff, G., Pasic, A., Molnar, M., Toka, L. “…Machine Learning and Data Mining for Sports Analytics…”
    Save to List
    Saved in:
    Access source

Search Tools: