A Convolutional Neural Network-Based Model for Predicting The Perceived Attractiveness of Urban Places

Machine learning and digital twins: monitoring and control for dynamic security in power systems

Paving the way for the integration of synthesis, assessment, and design tools within an ontological framework

Learning About the Adversary

A NAO robot playing tic-tac-toe: Comparing alternative methods for Inverse Kinematics

Using machine learning to predict concrete’s strength: Learning from small datasets

A learning Dempster-Shafer model for automated building detection

A Machine learning approach for rapid disaster response based on multi- modal data: The case of housing & shelter needs

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

Prediction Of Hydrological Models’ Uncertainty By A Committee Of Machine Learning-Models

Estimating building age with 3D GIS

CaptureBias: Supporting Media Scholars with Ambiguity-Aware Bias Representation for News Videos

Large-Scale Flight Phase Identification from ADS-B Data Using Machine Learning Methods

Accelerating Machine Learning Queries with Linear Algebra Query Processing

Fast and robust scheme for uncertainty quantification in naturally fractured reservoirs

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

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

An Approach for Sleep Apnea Detection based on Radar Spectrogram Envelopes

Contestable Camera Cars:: A Speculative Design Exploration of Public AI That Is Open and Responsive to Dispute

Value-Based Hybrid Intelligence