subject area of
- Automatic and continuous assessment of ERPs for mismatch negativity detection Academic Article
- Automatically quantifying the scientific quality and sensationalism of news records mentioning pandemics: validating a maximum entropy machine-learning model Academic Article
- Big data analytics and machine learning: 2015 and beyond Academic Article
- Classification of Multiple Seizure-Like States in Three Different Rodent Models of Epileptogenesis Academic Article
- EEG and fMRI agree: Mental arithmetic is the easiest form of imagery to detect Academic Article
- Identifying a clinical signature of suicidality among patients with mood disorders: A pilot study using a machine learning approach Academic Article
- Individualized identification of euthymic bipolar disorder using the Cambridge Neuropsychological Test Automated Battery (CANTAB) and machine learning Academic Article
- Melanoma detection by analysis of clinical images using convolutional neural network Academic Article
- Multivariate pattern analysis utilizing structural or functional MRI—In individuals with musculoskeletal pain and healthy controls: A systematic review Academic Article
- Potential use of text classification tools as signatures of suicidal behavior: A proof-of-concept study using Virginia Woolf’s personal writings Academic Article
- Predicting hospital and emergency department utilization among community-dwelling older adults: Statistical and machine learning approaches Academic Article
- Prediction of plant lncRNA by ensemble machine learning classifiers Academic Article
- Quantitative ultrasound assessment of breast tumor response to chemotherapy using a multi-parameter approach Academic Article
- Regularized Speaker Adaptation of KL-HMM for Dysarthric Speech Recognition Academic Article
- Statistics in cardiovascular medicine: there is still gold in the old Academic Article
- The impact of machine learning techniques in the study of bipolar disorder: A systematic review Academic Article
- Wearable Sensor Data to Track Subject-Specific Movement Patterns Related to Clinical Outcomes Using a Machine Learning Approach Academic Article