Articles

A novel machine learning methodology for the systematic extraction of chronic kidney disease comorbidities from abstracts

in Health Informatics

• Eszter Sághy
• Mostafa Elsharkawy
• Frank Moriarty
• Sándor Kovács
• István Wittmann
• Antal Zemplényi

Discovering Effective Connectivity in Neural Circuits: Analysis Based on Machine Learning Methodology

• Pedro Pozo-Jimenez
• Javier Lucas-Romero
• Jose A. Lopez-Garcia

The Challenge of Developing Entrepreneurial Competence in the University Using the Project-Oriented Learning Methodology

in Positive Psychology

• Paula Crespí
• Marián Queiruga-Dios
• Araceli Queiruga-Dios

Injection-Induced Seismic Risk Management Using Machine Learning Methodology – A Perspective Study

in Solid Earth Geophysics

• Miao He
• Qi Li
• Xiaying Li

Project-Based Learning Methodology as a Promoter of Learning Math Concepts: A Scoping Review

in Digital Education

• Sara Cruz
• Floriano Viseu
• José Alberto Lencastre

Gamified flipped learning in a French foreign language class: Efficiency and student perception

in Digital Learning Innovations

• Chiraz Anane

Machine Learning to Predict Lower Extremity Musculoskeletal Injury Risk in Student Athletes

in Sports Science, Technology and Engineering

• Maria Henriquez
• Jacob Sumner
• Mallory Faherty
• Timothy Sell
• Brinnae Bent

Integrative Analysis From Multicenter Studies Identifies a WGCNA-Derived Cancer-Associated Fibroblast Signature for Ovarian Cancer

in Cancer Immunity and Immunotherapy

• Songwei Feng
• Yi Xu
• Zhu Dai
• Han Yin
• Ke Zhang
• Yang Shen

Pothole detection for autonomous vehicles using deep learning: a robust and efficient solution

in Transportation and Transit Systems

• Malhar Khan
• Muhammad Amir Raza
• Ghulam Abbas
• Salwa Othmen
• Amr Yousef
• Touqeer Ahmed Jumani

Extending regional habitat classification systems to ocean basin scale using predicted species distributions as proxies

in Deep-Sea Environments and Ecology

• Oisín Callery
• Anthony Grehan

A machine learning methodology for the selection and classification of spontaneous spinal cord dorsum potentials allows disclosure of structured (non-random) changes in neuronal connectivity induced by nociceptive stimulation

• Mario Martin
• Enrique Contreras-Hernàndez
• Javier Béjar
• Gennaro Esposito
• Diógenes Chávez
• Silvio Glusman
• Ulises Cortés
• Pablo Rudomin

Embracing the uncertainty in human–machine collaboration to support clinical decision-making for mental health conditions

in Digital Mental Health

• Ram Popat
• Julia Ive

DLAAD-deep learning algorithms assisted diagnosis of chest disease using radiographic medical images

in Pathology

• Mosleh Hmoud Al-Adhaileh
• Bayan M. Alsharbi
• Theyazn H. H. Aldhyani
• Sultan Ahmad
• Mohammed Amin Almaiah
• Zeyad A. T. Ahmed
• Saad M. AbdelRahman
• Elham Alzain
• Shilpi Singh

Sparse measures with swarm-based pliable hidden Markov model and deep learning for EEG classification

• Sunil Kumar Prabhakar
• Young-Gi Ju
• Harikumar Rajaguru
• Dong-Ok Won

Thinking Before Doing: A Pilot Study on the Application of Motor Imagery as a Learning Method During Physical Education Lesson in High School

in Movement Science

• Patrizio Canepa
• Antonella Sbragi
• Filippo Saino
• Monica Biggio
• Marco Bove
• Ambra Bisio

Can Deep Learning Hit a Moving Target? A Scoping Review of Its Role to Study Neurological Disorders in Children

• Saman Sargolzaei