Markus Ojala

Artificial intelligence in healthcare: past, present and future

The advantages of the Matthews correlation coefficient (MCC) over F1 score and accuracy in binary classification evaluation

fMRIPrep: a robust preprocessing pipeline for functional MRI

Ten quick tips for machine learning in computational biology

Choosing the Most Effective Pattern Classification Model under Learning-Time Constraint

Interpreting support vector machine models for multivariate group wise analysis in neuroimaging

Restoring cortical control of functional movement in a human with quadriplegia

MRIQC: Advancing the automatic prediction of image quality in MRI from unseen sites

Traumatic spinal cord injury

Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI

A novel automatic classification system based on hybrid unsupervised and supervised machine learning for electrospun nanofibers

Predicting the Future — Big Data, Machine Learning, and Clinical Medicine

Hydrogel bioelectronics

Explainable Artificial Intelligence (XAI): What we know and what is left to attain Trustworthy Artificial Intelligence

Comprehensive Review of Artificial Neural Network Applications to Pattern Recognition

An Emotional Turn in Journalism Studies?

Let’s dance the news! How the news media are adapting to the logic of TikTok

A review on the attention mechanism of deep learning

A peek into the black box: exploring classifiers by randomization

A Brief Overview of ChatGPT: The History, Status Quo and Potential Future Development

Improving the Efficiency of Ligand-Binding Protein Design with Molecular Dynamics Simulations

Permutation Tests for Studying Classifier Performance

Tell Me Something I Don't Know: Randomization Strategies for Iterative Data Mining

Professional role enactment amid information warfare: War correspondents tweeting on the Ukraine conflict