A Fast Multi-objective Evolutionary Approach for Designing Large-Scale Optical Mode Sorter

SoK: Explainable Machine Learning for Computer Security Applications

Improving Adaptive Learning Models Using Prosodic Speech Features

Detecting moments of distraction during meditation practice based on changes in the EEG signal

Acoustic Emission-Based Detection in Restricted-Access Areas Using Multiple PZT Disc Sensors

Data-Driven Support Vector Machine to Predict Thin-Walled Tube Energy Absorbers Behavior

Label-Only Membership Inference Attack against \\Node-Level Graph Neural Networks

Generation of design allowables on the open hole tensile strength of composite laminates using sensitivity analysis and uncertainty quantification framework

Interpretable neural network with limited weights for constructing simple and explainable HI using SHM data

Classifying EEG Signals of Mind-Wandering Across Different Styles of Meditation

Performance Comparison of Deep RL Algorithms for Energy Systems Optimal Scheduling

MLSmellHound: A Context-Aware Code Analysis Tool

MLTK01: A Prototyping Toolkit for Tangible Learning Things

When Machine Learning Models Leak: An Exploration of Synthetic Training Data

Fusion of Radar Data Domains for Human Activity Recognition in Assisted Living

AI supported noise analyses for structure design requirements definition

Using Machine Learning to Quantify the Robustness of Network Controllability

ReproducedPapers.org: Openly Teaching and Structuring Machine Learning Reproducibility

Deterministic and Statistical Strategies to Protect ANNs against Fault Injection Attacks

Demonstrating a Bayesian Online Learning for Energy-Aware Resource Orchestration in vRANs