Federated learning: A comparison of methods: How do different ML models compare to each other

Annotation Practices in Societally Impactful Machine Learning Applications: What are the recommender systems models actually trained on?

Finding Biomarkers for Schizophrenia: Can Machine Learning algorithms identify schizophrenia-related biomarkers within metagenomic data derived from the human gut microbiome?

Does text matter?: Extending CLIP with OCR and NLP for image classification and retrieval

A Methodology for Damage Detection Using Unsupervised Learning in the Field of Structural Health Monitoring: Based on Gaussian Mixture Modeling

Solving ML with ML: Effectiveness of the Metropolis-Hastings algorithm for synthesizing Machine Learning Pipelines

Feature extraction and classification on heart rate time series for cardiovascular diseases

The road to intelligent asphalt concrete mixture design: A Data driven analysis of common asphalt concrete property prediction methods and a solution to the inverse problem

Creation and validation of a simulation environment for machine learning with drones

Machine learning and randomness in mechanical metamaterials

Spiking Neural Networks Based Data Driven Control: An Illustration Using Cart-Pole Balancing Example

Towards a Linear-Data Monotone Wrapper Algorithm For Machine Learning Algorithms

Investigating different models that can be used to define the characteristics that influence customer behaviour in the online grocery sector

On Safety in Machine Learning

Neural network partitioning for resource-limited environments

An AI algorithm to predict intubations in ICU patients: Predicting intubation to aid medical personnel in the decision to switch from High Flow Nasal Oxygen therapy to intubation

Non-invasive measurement of intracardiac pressures in heart failure patients using machine learning techniques

Classification of primary liver tumors with radiomics and deep learning based on multiphasic MRI

On leveraging physical knowledge to augment neural network-based surrogate models for simulations

Improving satellite remote sensing methodologies for analyzing landscape dynamics in arid environments with focus on Egypt