Electrical Impedance Measurements in the Gastrointestinal Tract: Cancerous or Non-Cancerous?

Employing Deep Ensemble Learning for Improving the Security of Computer Networks against Adversarial Attacks

Exploring the Use of Granger Causality for the Identification of Chemical Exposure Based on Physiological Data

Monitoring symptom progression in Parkinson’s Disease using Least Squares Support Vector Regression

From Feature Selection to Data Augmentation: the ADA Algorithm

Earthquake Prediction: A MLP & SVM Comparison

Hyperspectral Imaging for Tissue Classification after Advanced Stage Ovarian Cancer Surgery: A Pilot Study

Lightweight Design of Variable-Stiffness Cylinders with Reduced Imperfection Sensitivity Enabled by Continuous Tow Shearing and Machine Learning

Data-driven Abstractions with Probabilistic Guarantees for Linear PETC Systems

Quantifying the dynamic interactions between physiological signals to predict the exposure from chemicals

Active Learning To Reduce Human Labeling For Automatic Psychological Text Classification

Automatic Psychological Text Analysis using Support Vector Machine Classification

Classification Algorithm for Early Detection of Atrial Fibrillation: The Development of a Supervised Learning Method Using Photoplethysmography Signals for an ARM Processor

Generalized Variant Support Vector Machine

Support vector regression for high-resolution beach surface moisture estimation from terrestrial LiDAR intensity data

Intuitionistic Fuzzy Laplacian Twin Support Vector Machine for Semi-supervised Classification

Adaptive approaches in metamodel-based reliability analysis: A review

Obey validity limits of data-driven models through topological data analysis and one-class classification

Cross-cohort generalizability of deep and conventional machine learning for MRI-based diagnosis and prediction of Alzheimer's disease

Cross-evaluation of a parallel operating SVM – CNN classifier for reliable internal decision-making processes in composite inspection