標題: Titlebook: Machine Learning and Data Mining for Sports Analytics; 10th International W Ulf Brefeld,Jesse Davis,Albrecht Zimmermann Conference proceedi [打印本頁] 作者: proptosis 時間: 2025-3-21 16:44
書目名稱Machine Learning and Data Mining for Sports Analytics影響因子(影響力)
書目名稱Machine Learning and Data Mining for Sports Analytics影響因子(影響力)學科排名
書目名稱Machine Learning and Data Mining for Sports Analytics網絡公開度
書目名稱Machine Learning and Data Mining for Sports Analytics網絡公開度學科排名
書目名稱Machine Learning and Data Mining for Sports Analytics被引頻次
書目名稱Machine Learning and Data Mining for Sports Analytics被引頻次學科排名
書目名稱Machine Learning and Data Mining for Sports Analytics年度引用
書目名稱Machine Learning and Data Mining for Sports Analytics年度引用學科排名
書目名稱Machine Learning and Data Mining for Sports Analytics讀者反饋
書目名稱Machine Learning and Data Mining for Sports Analytics讀者反饋學科排名
作者: exophthalmos 時間: 2025-3-21 22:41
Leo Martins de Sá-Freire,Pedro O. S. Vaz-de-Melowenn er nicht der Erste war, der eine solche Operation durchführte. Schon 1951 berichteten Vineberg u. Müller [147] über eine Implantation der linken A. thoracica interna in das Myokard. Nachdem Sones 1959 die M?glichkeit der Koronarangiographie gezeigt hatte und damit Koronarstenosen exakt lokalisi作者: endoscopy 時間: 2025-3-22 02:53
wenn er nicht der Erste war, der eine solche Operation durchführte. Schon 1951 berichteten Vineberg u. Müller [147] über eine Implantation der linken A. thoracica interna in das Myokard. Nachdem Sones 1959 die M?glichkeit der Koronarangiographie gezeigt hatte und damit Koronarstenosen exakt lokalisi作者: 小樣他閑聊 時間: 2025-3-22 07:06 作者: 勛章 時間: 2025-3-22 08:51 作者: heartburn 時間: 2025-3-22 16:12
Francisco Javier Sanguino Bautiste,Dustin Brunner,Jonathan Koch,Timothé Laborie,Liule Yang,Mennatallwenn er nicht der Erste war, der eine solche Operation durchführte. Schon 1951 berichteten Vineberg u. Müller [147] über eine Implantation der linken A. thoracica interna in das Myokard. Nachdem Sones 1959 die M?glichkeit der Koronarangiographie gezeigt hatte und damit Koronarstenosen exakt lokalisi作者: DRAFT 時間: 2025-3-22 19:12
Gabin Calmet,Aymeric Eradès,Romain Vuillemot mit Aufforderungscharakter heraus:.Situation 1 .In Weitweg, dem gr??ten Land des Sterns Irgendwo, ist 1 w die kleinste nicht mehr unterteilte L?ngeneinheit. 1 w entspricht so ungef?hr 85 cm, ganz genau wissen wir das auch nicht mehr – wie oft kommt man schon nach Weitweg? Da 1 w für viele Messungen作者: doxazosin 時間: 2025-3-23 00:31
Sports Data Analytics: An Art and?a?Sciencen-making processes. While Sport Science has been successful in contributing to exercise physiology and theories of training adaptions, it is less successful in explaining success in complex sports such as invasion sports. We propose a framework to deal with this complexity and providing meaningful m作者: Aphorism 時間: 2025-3-23 01:32 作者: RAGE 時間: 2025-3-23 09:05
Masked Autoencoder Pretraining for?Event Classification in?Elite Soccer propose a novel self-supervised masked autoencoder for multiagent trajectories. In contrast to related work, our approach is significantly simpler, has no necessity for handcrafted features and inherently allows for permutation invariance in downstream tasks.作者: Capture 時間: 2025-3-23 10:00 作者: babble 時間: 2025-3-23 14:59 作者: 館長 時間: 2025-3-23 18:09 作者: BILK 時間: 2025-3-24 01:17 作者: receptors 時間: 2025-3-24 04:09 作者: 種植,培養(yǎng) 時間: 2025-3-24 08:48 作者: 小臼 時間: 2025-3-24 12:43
What Data Should Be Collected for a Good Handball , model?occer. This metric can be modeled by machine learning, and the models developed consider an increasing number of attributes, which increases the cost of learning it. The use of xG is not widespread in handball, so the question of learning it for this sport arose, in particular which attributes are r作者: Genome 時間: 2025-3-24 18:36
Identifying Player Roles in?Ice Hockeytraining, game adjustments and team construction. In this paper, we propose a probabilistic method for quantifying player roles in ice hockey that allows for a player to belong to different roles with some probability. Using data from the 2021–2022 NHL season, we analyze and group players into clust作者: Arrhythmia 時間: 2025-3-24 22:14
Elite Rugby League Players’ Signature Movement Patterns and?Position Predictiontial nature. Nowadays, movement patterns are used to sequentially quantify players’ activities to understand match demands on players. However, the specific behavioural (i.e., signature) movement patterns of rugby league players per playing position remain unknown and the prediction of rugby league 作者: 閃光你我 時間: 2025-3-24 23:57
Boat Speed Prediction in?SailGPg machine learning techniques. As a pioneer work in the academic community, our work showcases the power of data-driven approaches in enhancing performance and decision-making at high-performance sailing events. Specifically, we explore the application of data mining techniques on the dataset collec作者: groggy 時間: 2025-3-25 05:08
Exploring Table Tennis Analytics: Domination, Expected Score and?Shot Diversitynsor and video tracking technologies. In this study, we explore the potential of utilizing such data in table tennis to analyze player superiority, scoring opportunities, and creativity. Our approach involves adapting existing metrics by incorporating additional attributes provided by the detailed d作者: Type-1-Diabetes 時間: 2025-3-25 09:46
Quantification of?Turnover Danger with?xCounterThus, we find that preparing horizontally spaced pass options facilitates an own . in case of a ball win while moving as a compact unit prevents an opposing . in case of a ball loss. As a final step, we generalize our results by creating a predictive XGBoost model that outperforms a location-based baseline but still shows room for improvement.作者: IRATE 時間: 2025-3-25 13:01
1865-0929 MLSA 2023, held in Turin, Italy, in September 2023..The 16 full papers included in this book were carefully reviewed and selected from 31 submissions. They were organized in topical sections as follows: Football/Soccer, Basketball, Other team sports, Individual sports..978-3-031-53832-2978-3-031-538作者: 鄙視 時間: 2025-3-25 19:38
ETSY: A Rule-Based Approach to?Event and?Tracking Data SYnchronizationThus, a key problem is to align these sources. However, few papers explicitly describe approaches for doing so. In this paper, we propose a rule-based approach . for synchronizing event and tracking data, evaluate it, and compare experimentally and conceptually with the few state-of-the-art approaches available.作者: 來就得意 時間: 2025-3-25 22:56 作者: 樹木心 時間: 2025-3-26 00:44
Momentum Matters: Investigating High-Pressure Situations in the NBA Through Scoring Probabilityof our pre-game pressure metric, along with other factors, on the shooting performance of NBA players on six seasons’ worth of data. We find that shotmaking in the NBA is mainly impacted by the so-called ., i.e., when a team outscores their opponent significantly over a short period of time.作者: Occipital-Lobe 時間: 2025-3-26 06:00
The Big Three: A Practical Framework for Designing Decision Support Systems in Sports and an Applica model reaches state of the art performance in game outcome prediction. Explainability and interactivity of our solution also got excellent results in our survey. Finally, we propose some lines of research for DSS design using our framework and for team scouting in basketball.作者: Chromatic 時間: 2025-3-26 11:52 作者: 令人不快 時間: 2025-3-26 16:11 作者: scrape 時間: 2025-3-26 20:25
Identifying Player Roles in?Ice Hockeyers. We show the use of the clusters by an examination of the relationship between player role and contract, as well as between role distribution in a team and team success in terms of reaching the playoffs.作者: tenuous 時間: 2025-3-26 23:52
Sports Data Analytics: An Art and?a?Scienceessful in explaining success in complex sports such as invasion sports. We propose a framework to deal with this complexity and providing meaningful metrices for individual and team performances. We demonstrate its utility by providing an example for individual and an example for team performance.作者: 散開 時間: 2025-3-27 05:10 作者: thwart 時間: 2025-3-27 05:52
What Data Should Be Collected for a Good Handball , model?of learning it. The use of xG is not widespread in handball, so the question of learning it for this sport arose, in particular which attributes are relevant for learning. Here, we used a . approach to determine these relevant attributes and guide teams through the data collection stage.作者: Musculoskeletal 時間: 2025-3-27 09:47
https://doi.org/10.1007/978-3-031-53833-9artificial intelligence; computer vision; data mining; sports analytics; supervised learning; machine lea作者: 性行為放縱者 時間: 2025-3-27 15:31 作者: echnic 時間: 2025-3-27 19:17 作者: promote 時間: 2025-3-27 23:23
Communications in Computer and Information Sciencehttp://image.papertrans.cn/m/image/620449.jpg作者: Admire 時間: 2025-3-28 03:46 作者: 牙齒 時間: 2025-3-28 06:16 作者: 頭盔 時間: 2025-3-28 12:52
Machine Learning and Data Mining for Sports Analytics10th International W作者: 種族被根除 時間: 2025-3-28 18:10
Henrik Biermann,Weiran Yang,Franz-Georg Wieland,Jens Timmer,Daniel Memmert作者: COMA 時間: 2025-3-28 20:24
Victor Elijah Adeyemo,Anna Palczewska,Ben Jones,Dan Weaving作者: Oratory 時間: 2025-3-28 23:32 作者: hazard 時間: 2025-3-29 03:05
Elite Rugby League Players’ Signature Movement Patterns and?Position Predictionest number of signature patterns (i.e. 1241). Random Forest best predicted elite rugby league players’ positions at 73.41% accuracy, 0.74 recall, and 0.73 f1-score and precision scores based on movement patterns relative frequency values and top contributing movement patterns were identified. Theref作者: 精美食品 時間: 2025-3-29 08:38 作者: PALSY 時間: 2025-3-29 11:54
Pegah Rahimian,Hyunsung Kim,Marc Schmid,Laszlo Tokaerz-Lungen-Maschine, durchgeführt. Seit die Koronarrevaskularisation ohne Herz-Lungen-Maschine ad?quat vergütet wird, ist hir Anteil in einigen Kliniken auf 50% und mehr angestiegen. Diese Eingriffe ohne extrakorporale Zirkulation werden wie auch die Operationen über kleine Schnitte (mit und ohne He作者: elastic 時間: 2025-3-29 18:00 作者: 假裝是你 時間: 2025-3-29 21:50
