Research graph
References from An Interpretable Classification Model for Air Pistol Shot Execution Quality Based on SCATT Aiming Trajectories. Local targets link to admitted publications; unresolved targets remain external evidence.
Optoelectronic analysis of technical factors and performance of elite-level air pistol shooting
10.1371/journal.pone.0262276 · 2022 · External reference
Key technical components for air pistol shooting performance
10.1080/24748668.2021.1891820 · 2021 · External reference
Technical determinants of air rifle and pistol shooting performance: a systematic review and meta-analysis
10.1177/17479541241245356 · 2024 · External reference
Validity and reliability of an opto-electric training system in elite and national level ISSF air rifle shooters
10.1007/s12283-023-00422-8 · 2023 · External reference
Aiming point trajectory as an assessment parameter of shooting performance
10.2478/v10038-012-0024-3 · 2012 · External reference
Unresolved reference
2024 · External reference
Current approaches to the use of artificial intelligence for injury risk assessment and performance prediction in team sports: a systematic review
10.1186/s40798-019-0202-3 · 2019 · External reference
Machine learning methods in sport injury prediction and prevention: a systematic review
10.1186/s40634-021-00346-x · 2021 · External reference
Body sway, aim point fluctuation and performance in rifle shooters: inter- and intra-individual analysis
10.1080/0264041031000101881 · 2003 · External reference
Unstable trunk core strength training improves shooting performance and holding stability in elite 10 m air pistol athletes: a pilot randomized controlled trial
10.1038/s41598-026-64539-z · 2026 · External reference
Relationship between twelve mechanic measures and score for national-level pistol shooters
10.1080/24748668.2015.11868796 · 2015 · External reference
Effects of stance width on performance and postural stability in national-standard pistol shooters
10.1080/02640414.2011.593039 · 2011 · External reference
Determinants of elite-level air rifle shooting performance
10.1111/sms.12440 · 2016 · External reference
Which technical factors explain competition performance in air rifle shooting?
10.1177/1747954117707481 · 2018 · External reference
Relationships between postural balance, aiming technique and performance in elite rifle shooters
10.1080/17461391.2021.1971775 · 2022 · External reference
The effects of hand tremors on the shooting performance of air pistol shooters with different skill levels
10.3390/s24082438 · 2024 · External reference
Relationships between postural balance, rifle stability and shooting accuracy among novice rifle shooters
10.1111/j.1600-0838.2006.00549.x · 2007 · External reference
An ecological dynamics interpretation of match-wide performance outcomes in elite ISSF air rifle shooting competitions
2026 · External reference
Personalized training model for 10 m air pistol through machine learning: a pilot study
10.1038/s41598-026-49092-z · 2026 · External reference
Explaining rifle shooting factors through multi-sensor body tracking: using transformers and attention to mine actionable patterns from skeleton graphs
10.3233/ida-216457 · 2023 · External reference
A random forest-based accuracy prediction model for augmented biofeedback in a precision shooting training system
10.3390/s20164512 · 2020 · External reference
Random forests
10.1023/a:1010933404324 · 2001 · External reference
Explainable artificial intelligence (XAI): concepts, taxonomies, opportunities and challenges toward responsible AI
10.1016/j.inffus.2019.12.012 · 2020 · External reference
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
10.1038/s42256-019-0048-x · 2019 · External reference
From local explanations to global understanding with explainable AI for trees
10.1038/s42256-019-0138-9 · 2020 · External reference
Permutation importance: a corrected feature importance measure
10.1093/bioinformatics/btq134 · 2010 · External reference
Learning from imbalanced data
10.1109/tkde.2008.239 · 2009 · External reference
Hyperparameters and tuning strategies for random forest
10.1002/widm.1301 · 2019 · External reference
The precision-recall plot is more informative than the ROC plot when evaluating binary classifiers on imbalanced datasets
10.1371/journal.pone.0118432 · 2015 · External reference
A unified view of performance metrics: translating threshold choice into expected classification loss
2012 · External reference
cutpointr: improved estimation and validation of optimal cutpoints in R
10.18637/jss.v098.i11 · 2021 · External reference
A distributed fusion framework for breast cancer recurrence prediction using MapReduce
10.1038/s41598-026-47382-0 · 2026 · External reference
The false hope of current approaches to explainable artificial intelligence in health care
10.1016/s2589-7500(21)00208-9 · 2021 · External reference
Leakage and the reproducibility crisis in machine-learning-based science
10.1016/j.patter.2023.100804 · 2023 · External reference
Cross-validation strategies for data with temporal, spatial, hierarchical, or phylogenetic structure
10.1111/ecog.02881 · 2017 · External reference
Machine learning algorithm validation with a limited sample size
10.1371/journal.pone.0224365 · 2019 · External reference
Bias in error estimation when using cross-validation for model selection
10.1186/1471-2105-7-91 · 2006 · External reference
Machine learning for medical imaging: methodological failures and recommendations for the future
10.1038/s41746-022-00592-y · 2022 · External reference
