Predicting Season Outcomes for the NBA

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:MLSA (8. : 2021 : Online) Machine learning and data mining for sports analytics
1. Verfasser: Teno, González Dos Santos (VerfasserIn)
Weitere Verfasser: Wang, Chunyan (VerfasserIn), Carlsson, Niklas (VerfasserIn), Lambrix, Patrick (VerfasserIn)
Format: UnknownFormat
Sprache:eng
Veröffentlicht: 2022
Schlagworte:
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Titel Jahr Verfasser
A Career in Football: What is Behind an Outstanding Market Value? 2022 Acs, Balazs
Similarity of Football Players Using Passing Sequences 2022 Barbosa, Alberto
Imputation of Non-participated Race Results 2022 Janssens, Bram
Predicting Player Transfers in the Small World of Football 2022 Kovacs, Roland
Learning Strength and Weakness Rules of Cricket Players Using Association Rule Mining 2022 Behera, Swarup Ranjan
Using Barycenters as Aggregate Representations of Repetition-Based Time-Series Exercise Data 2022 Kathirgamanathan, Bahavathy
Sensor-Based Performance Monitoring in Track Cycling 2022 Steyaert, Michael
6MapNet: Representing Soccer Players from Tracking Data by a Triplet Network 2022 Kim, Hyunsung
The Interpretable Representation of Football Player Roles Based on Passing/Receiving Patterns 2022 Sattari, Arsalan
Low Cost Player Tracking in Field Hockey 2022 Moura, Henrique Duarte
Exceptional Gestalt Mining: Combining Magic Cards to Make Complex Coalitions Thrive 2022 Duivesteijn, Wouter
Inferring the Strategy of Offensive and Defensive Play in Soccer with Inverse Reinforcement Learning 2022 Rahimian, Pegah
PIVOT: A Parsimonious End-to-End Learning Framework for Valuing Player Actions in Handball Using Tracking Data 2022 Müller, Oliver
Learning to Describe Player Form in the MLB 2022 Heaton, Connor
Predicting Season Outcomes for the NBA 2022 Teno, González Dos Santos
Detecting Swimmers in Unconstrained Videos with Few Training Data 2022 Jacquelin, Nicolas
Alle Artikel auflisten