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

Application of Deep Neural Networks to the Operator Space of Nonlinear PDE for Physics-based Proxy Modeling

Cost Estimation for Factorized Machine Learning in Data Integration Scenarios

Dimension reduction techniques for multi-dimensional numerical integrations based on Fourier-cosine series expansion

Value-Sensitive Rejection of Machine Learning Predictions for Hate Speech Detection

Classification of Birds and Drones Exploiting Kinematic Properties for Surveillance Radars Using Machine Learning Techniques

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

Image data filtering and automatic detection of damages within asphalt with the help of ground-penetrating radar (GPR) and machine learning methods

Recognising Gestures Using Ambient Light and Convolutional Neural Networks: Adapting Convolutional Neural Networks for Gesture Recognition on Resource-constrained Microcontrollers

Real-Time Passenger Load Estimation using In-Vehicle Data

Quantifying the Endogenous Domain and Model Shifts Induced by the DiCE Generator

Quantifying the Endogenous Domain and Model Shifts Induced by the CLUE Recourse Generator

In Search of Best Learning Curve Model

Automatic Detection of Mind-Wandering using Facial Expressions

Robust OCTs: Investigating classification tree robustness