Search Results - Communication & Sport
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1
Augmented intelligence for FIFA predictions
Jethuri, K., Emmadi, S. C., Samudrala, S., Natarajan, J., Ghotkar, P., Natu, M.Published in Machine Learning and Data Mining for Sports Analytics. MLSA 2024. Communications in Computer and Information Science (2025)articleCollective title: “…Machine Learning and Data Mining for Sports Analytics. MLSA 2024. Communications in Computer and Information Science…”
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2
Mathematical models for off-ball scoring prediction in basketball
Kono, R., Fujii, K.Published in Machine Learning and Data Mining for Sports Analytics. MLSA 2024. Communications in Computer and Information Science (2025)articleCollective title: “…Machine Learning and Data Mining for Sports Analytics. MLSA 2024. Communications in Computer and Information Science…”
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3
GraphEIV: A framework for estimating the expected immediate value in basketball using graph neural networks
Sá-Freire, B. M., Barbosa, G. R. G., Gonçalves, J. L. L., Schuster, J., Rios-Neto, H.Published in Machine Learning and Data Mining for Sports Analytics. MLSA 2024. Communications in Computer and Information Science (2025)articleCollective title: “…Machine Learning and Data Mining for Sports Analytics. MLSA 2024. Communications in Computer and Information Science…”
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4
Characterizing serves in table tennis
Eradès, A., Papon, T., Vuillemot, R.Published in Machine Learning and Data Mining for Sports Analytics. MLSA 2024. Communications in Computer and Information Science (2025)articleCollective title: “…Machine Learning and Data Mining for Sports Analytics. MLSA 2024. Communications in Computer and Information Science…”
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5
Identifying player roles in ice hockey
Säfvenberg, R., Carlsson, N., Lambrix, P.Published in Machine Learning and Data Mining for Sports Analytics. MLSA 2023. Communications in Computer and Information Science (2024)articleCollective title: “…Machine Learning and Data Mining for Sports Analytics. MLSA 2023. Communications in Computer and Information Science…”
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6
Elite rugby league players` signature movement patterns and position prediction
Adeyemo, V. E., Palczewska, A., Jones, B., Weaving, D.Published in Machine Learning and Data Mining for Sports Analytics. MLSA 2023. Communications in Computer and Information Science (2024)articleCollective title: “…Machine Learning and Data Mining for Sports Analytics. MLSA 2023. Communications in Computer and Information Science…”
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7
Boat speed prediction in SailGP
Zentai, B., Toka, L.Published in Machine Learning and Data Mining for Sports Analytics. MLSA 2023. Communications in Computer and Information Science (2024)articleCollective title: “…Machine Learning and Data Mining for Sports Analytics. MLSA 2023. Communications in Computer and Information Science…”
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8
Masked autoencoder pretraining for event classification in elite soccer
Rudolph, Y., Brefeld, U.Published in Machine Learning and Data Mining for Sports Analytics. MLSA 2023. Communications in Computer and Information Science (2024)articleCollective title: “…Machine Learning and Data Mining for Sports Analytics. MLSA 2023. Communications in Computer and Information Science…”
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9
Pass receiver and outcome prediction in soccer using temporal graph networks
Rahimian, P., Kim, H., Schmid, M., Toka, L.Published in Machine Learning and Data Mining for Sports Analytics. MLSA 2023. Communications in Computer and Information Science (2024)articleCollective title: “…Machine Learning and Data Mining for Sports Analytics. MLSA 2023. Communications in Computer and Information Science…”
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10
Field depth matters: Comparing the valuation of passes in football
de Sá-Freire, L. M., Vaz-de-Melo, P. O. S.Published in Machine Learning and Data Mining for Sports Analytics. MLSA 2023. Communications in Computer and Information Science (2024)articleCollective title: “…Machine Learning and Data Mining for Sports Analytics. MLSA 2023. Communications in Computer and Information Science…”
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11
Momentum matters: Investigating high-pressure situations in the NBA through scoring probability
Mihalyi, B., Biczók, G., Toka, L.Published in Machine Learning and Data Mining for Sports Analytics. MLSA 2023. Communications in Computer and Information Science (2024)articleCollective title: “…Machine Learning and Data Mining for Sports Analytics. MLSA 2023. Communications in Computer and Information Science…”
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12
The big three: A practical framework for designing decision support systems in sports and an application for basketball
Bautiste, F. J. S., Brunner, D., Koch, J., Laborie, T., Yang, L., El-Assady, M.Published in Machine Learning and Data Mining for Sports Analytics. MLSA 2023. Communications in Computer and Information Science (2024)articleCollective title: “…Machine Learning and Data Mining for Sports Analytics. MLSA 2023. Communications in Computer and Information Science…”
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13
What data should be collected for a good handball expected goal model?
Mortelier, A., Rioult, F., Komar, J.Published in Machine Learning and Data Mining for Sports Analytics. MLSA 2023. Communications in Computer and Information Science (2023)articleCollective title: “…Machine Learning and Data Mining for Sports Analytics. MLSA 2023. Communications in Computer and Information Science…”
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14
Towards expected counter - using comprehensible features to predict counterattacks
Biermann, H., Wieland, F. G., Timmer, J., Memmert, D., Phatak, A.Published in Machine Learning and Data Mining for Sports Analytics. MLSA 2022. Communications in Computer and Information Science (2022)articleCollective title: “…Machine Learning and Data Mining for Sports Analytics. MLSA 2022. Communications in Computer and Information Science…”
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15
Shot analysis in different levels of German football using expected goals
Raudonius, L., Seidl, T.Published in Machine Learning and Data Mining for Sports Analytics. MLSA 2022. Communications in Computer and Information Science (2022)articleCollective title: “…Machine Learning and Data Mining for Sports Analytics. MLSA 2022. Communications in Computer and Information Science…”
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16
Analyzing passing sequences for the prediction of goal-scoring opportunities
McCarthy, C., Tampakis, P., Chiarandini, M., Randers, M. B., Jänicke, S., Zimek, A.Published in Machine Learning and Data Mining for Sports Analytics. MLSA 2022. Communications in Computer and Information Science (2022)articleCollective title: “…Machine Learning and Data Mining for Sports Analytics. MLSA 2022. Communications in Computer and Information Science…”
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17
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.Published in Machine Learning and Data Mining for Sports Analytics. MLSA 2022. Communications in Computer and Information Science (2022)articleCollective title: “…Machine Learning and Data Mining for Sports Analytics. MLSA 2022. Communications in Computer and Information Science…”
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18
Evaluation of creating scoring opportunities for teammates in soccer via trajectory prediction
Teranishi, M., Tsutsui, K., Takeda, K., Fujii, K.Published in Machine Learning and Data Mining for Sports Analytics. MLSA 2022. Communications in Computer and Information Science (2022)articleCollective title: “…Machine Learning and Data Mining for Sports Analytics. MLSA 2022. Communications in Computer and Information Science…”
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19
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.Published in Machine Learning and Data Mining for Sports Analytics. MLSA 2022. Communications in Computer and Information Science (2022)articleCollective title: “…Machine Learning and Data Mining for Sports Analytics. MLSA 2022. Communications in Computer and Information Science…”
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20
Predicting tennis serve directions with machine learning
Zhu, Y., Naikar, R.Published in Machine Learning and Data Mining for Sports Analytics. MLSA 2022. Communications in Computer and Information Science (2022)articleCollective title: “…Machine Learning and Data Mining for Sports Analytics. MLSA 2022. Communications in Computer and Information Science…”