article thumbnail

Predict football punt and kickoff return yards with fat-tailed distribution using GluonTS

Flipboard

Models were trained and cross-validated on the 2018, 2019, and 2020 seasons and tested on the 2021 season. To avoid leakage during cross-validation, we grouped all plays from the same game into the same fold. He has a degree in Mathematics and Computer Science from the University of Illinois at Urbana Champaign.

article thumbnail

Meet the finalists of the Pushback to the Future Challenge

DrivenData Labs

Several additional approaches were attempted but deprioritized or entirely eliminated from the final workflow due to lack of positive impact on the validation MAE. He is interested in researching human cognition and computational methods for modeling the brain. Her primary interests lie in theoretical machine learning.

professionals

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Chaotic gradient based optimization with fuzzy temporal optimized CNN for heart failure prediction

Flipboard

Furthermore, a tenfold cross-validation process ensures a comprehensive evaluation and the proposed method outperforms different Machine Learning (ML) / Deep Learning (DL) classifiers.

article thumbnail

Machine learning-based diagnostic model for stroke in non-neurological intensive care unit patients with acute neurological manifestations

Flipboard

Using the Categorical Boosting (CatBoost) algorithm with Bayesian optimization for hyperparameter selection and k-fold cross-validation to mitigate overfitting, we analyzed model-feature relationships with SHapley Additive exPlanations (SHAP) values.

article thumbnail

An automated privacy-preserving self-supervised classification of COVID-19 from lung CT scan images minimizing the requirements of large data annotation

Flipboard

The reliability of the framework’s performance is demonstrated through statistical analysis and five-fold cross-validation. The labeled dataset is employed to train the central encoder (updated VGG19 + attention CNN), resulting in an accuracy of 97.19%, a precision of 97.43%, and a recall of 98.18%.

article thumbnail

Computer-aided diagnosis of hepatic cystic echinococcosis based on deep transfer learning features from ultrasound images

Flipboard

The experiments followed 10 runs of the five-fold cross-validation process on a total of 1820 ultrasound images and the results were compared using Wilcoxon signed-rank test. The proven classifier models, k - nearest neighbor (KNN) and support vecter machine (SVM) models, are integrated to classify the extracted deep CNN features.

article thumbnail

The AI Process

Towards AI

AI engineering is the discipline focused on developing tools, systems, and processes to enable the application of artificial intelligence in real-world contexts, which combines the principles of systems engineering, software engineering, and computer science to create AI systems.

AI 98