Articles

Signal-to-event encoding parameter selection for multiple event classification with spiking neural networks

in Neuromorphic Engineering

• Mateusz Pabian
• Dominik Rzepka
• Mirosław Pawlak
• Marek Miśkowicz
• Ryszard Sroka

Multistage Classification of Current Density Distribution Maps of Various Heart States Based on Correlation Analysis and k-NN Algorithm

in Medtech Data Analytics

• Yevhenii Udovychenko
• Anton Popov
• Illya Chaikovsky

Refining Planning for Stereoelectroencephalography: A Prospective Validation of Spatial Priors for Computer-Assisted Planning With Application of Dynamic Learning

in Epilepsy

• Vejay N. Vakharia
• Rachel E. Sparks
• Alejandro Granados
• Anna Miserocchi
• Andrew W. McEvoy
• Sebastien Ourselin
• John S. Duncan

Deep Metric Learning-Based Strawberry Disease Detection With Unknowns

in Sustainable and Intelligent Phytoprotection

• Jie You
• Kan Jiang
• Joonwhoan Lee

Feature Selection in High Dimensional Biomedical Data Based on BF-SFLA

in Neuroprosthetics

• Yongqiang Dai
• Lili Niu
• Linjing Wei
• Jie Tang

Profiling safety behavior in clinical laboratory environments

in Occupational Health and Safety

• Vedat Caner

Convolutional Neural Network for Driving Maneuver Identification Based on Inertial Measurement Unit (IMU) and Global Positioning System (GPS)

in Innovation and Governance

• Mobyen Uddin Ahmed
• Shahina Begum

Statistical Analysis of Graph-Theoretic Indices to Study EEG-TMS Connectivity in Patients With Depression

• Elzbieta Olejarczyk
• Adam Jozwik
• Vladas Valiulis
• Kastytis Dapsys
• Giedrius Gerulskis
• Arunas Germanavicius

Estimating Successful Internal Mobility: A Comparison Between Structural Equation Models and Machine Learning Algorithms

in AI for Human Learning and Behavior Change

• Francesco Bossi
• Francesco Di Gruttola
• Antonio Mastrogiorgio
• Sonia D'Arcangelo
• Nicola Lattanzi
• Andrea P. Malizia
• Emiliano Ricciardi

Investigating lightweight and interpretable machine learning models for efficient and explainable stress detection

in Health Informatics

• Debasish Ghose
• Ayan Chatterjee
• Indika A. M. Balapuwaduge
• Yuan Lin
• Soumya P. Dash

Invisible footprints, visible insights: machine learning reveals Scope 3 emissions

in Quantitative Sustainability Assessment

• Szu-Yung Wang
• Nian-Zu Ye

Chemistry domain of applicability evaluation against existing estrogen receptor high-throughput assay-based activity models

in Computational Toxicology and Informatics

• Mark D. Nelms
• Todor Antonijevic
• Caroline Ring
• Danni L. Harris
• Ronnie Joe Bever
• Scott G. Lynn
• David Williams
• Grace Chappell
• Rebecca Boyles
• Susan Borghoff

Predicting head and neck cancer treatment outcomes with pre-treatment quantitative ultrasound texture features and optimising machine learning classifiers with texture-of-texture features

in Cancer Imaging and Image-directed Interventions

• Aryan Safakish
• Lakshmanan Sannachi
• Daniel DiCenzo
• Christopher Kolios
• Ana Pejović-Milić
• Gregory J. Czarnota

Predicting mortality in patients with nonvariceal upper gastrointestinal bleeding using machine-learning

in Intensive Care Medicine and Anesthesiology

• Bogdan Silviu Ungureanu
• Dan Ionut Gheonea
• Dan Nicolae Florescu
• Sevastita Iordache
• Sergiu Marian Cazacu
• Vlad Florin Iovanescu
• Ion Rogoveanu
• Adina Turcu-Stiolica

Evaluating the efficacy of bioelectrical impedance analysis using machine learning models for the classification of goats exposed to Haemonchosis

in Veterinary Clinical, Anatomical, and Comparative Pathology

• Aftab Siddique
• Phaneendra Batchu
• Arshad Shaik
• Priyanka Gurrapu
• Tharun Tej Erukulla
• Cornileus Ellington
• Andrea L. Rubio Villa
• Davia Brown
• Ajit Mahapatra
• Sudhanshu Panda

Detection of Mild Cognitive Impairment Through Natural Language and Touchscreen Typing Processing

in Connected Health

• Anastasia Ntracha
• Dimitrios Iakovakis
• Stelios Hadjidimitriou
• Vasileios S. Charisis
• Magda Tsolaki
• Leontios J. Hadjileontiadis