Learning About the Adversary

Machine learning based parameter sensitivity of regional climate models: a case study of the WRF model for heat extremes over Southeast Australia

Machine learning-based identification of vulnerability factors for masonry buildings in aggregate: The historicalcentre of casentino hit by the 2009 l'aquila earthquake

Self-Supervised Learning for Enhancing Angular Resolution in Automotive MIMO Radars

“How sweet are your strawberries?”: Predicting sugariness using non-destructive and affordable hardware

Application of Deep Neural Networks to the Operator Space of Nonlinear PDE for Physics-Based Proxy Modelling

A Classification-Based Machine Learning Approach to the Prediction of Cyanobacterial Blooms in Chilgok Weir, South Korea

Health monitoring: a machine learning approach for anomaly detection in multi-sensor networks

Disadvantaged communities have lower access to urban infrastructure

Supervised machine learning in microfluidic impedance flow cytometry for improved particle size determination

A Multiclass Classification Model for Tooth Removal Procedures

Siamese Convolutional Neural Networks to Quantify Crack Pattern Similarity in Masonry Facades

Home‐Based Measurements of Dystonia in Cerebral Palsy Using Smartphone‐Coupled Inertial Sensor Technology and Machine Learning: A Proof‐of‐Concept Study

Machine Learning-Based Surrogate Modeling for Urban Water Networks: Review and Future Research Directions

Large scale inverse design of planar on-chip mode sorter

Baseband-Function Placement with Multi-Task Traffic Prediction for 5G Radio Access Networks

Dynamic Digital Twin: Diagnosis, Treatment, Prediction, and Prevention of Disease During the Life Course

Coevolution of machine learning and process-based modelling to revolutionize Earth and environmental sciences: A perspective

Effect of Climate on Photovoltaic Yield Prediction Using Machine Learning Models

'Project smells' - Experiences in Analysing the Software Quality of ML Projects with mllint