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Publications by Thijs Becker

Machine Learning Analysis of Motor Evoked Potential Time Series to Predict Disability Progression in Multiple Sclerosis

English

Related publications

Motor Evoked Potentials and Disability in Secondary Progressive Multiple Sclerosis

Canadian Journal of Neurological Sciences

English

Evoked Potential Changes in Clinically Definite Multiple Sclerosis.

Journal of Neurology, Neurosurgery and Psychiatry

English

Time Series Approach to Athletes Motor Potential

Polish Journal of Sport and Tourism

Sports Medicine

Hospitality Management

Physical Therapy

English

Genetic and Biochemical Factors Related to the Risk and Disability Progression in Multiple Sclerosis

English

Riboflavin May Ameliorate Neurological Motor Disability but Not Spatial Learning and Memory Impairments in Murine Model of Multiple Sclerosis

Clinical Nutrition Experimental

English

Predicting Short-Term Disability Progression in Early Multiple Sclerosis: Added Value of MRI Parameters

Journal of Neurology, Neurosurgery and Psychiatry

English

Machine Learning to Predict Final Fire Size at the Time of Ignition

International Journal of Wildland Fire

English

Infratentorial Lesions Predict Long-Term Disability in Patients With Initial Findings Suggestive of Multiple Sclerosis

Archives of Neurology

English

A Machine Learning Approach to Univariate Time Series Forecasting of Quarterly Earnings

Review of Quantitative Finance and Accounting

English