Towards Automatic Principles of Persuasion Detection Using Machine Learning Approach

Searching for Quality: Genetic Algorithms and Metamorphic Testing for Software Engineering ML

Mapping Urban Heritage Images with Social Media Data and Artificial Intelligence, A Case Study in Testaccio, Rome

Regularised Learning with Selected Physics for Power System Dynamics

MNEMOSENE++: Scalable Multi-Tile Design with Enhanced Buffering and VGSOT-MRAM based Compute-in-Memory Crossbar Array

Brain Activity Recognition using Deep Electroencephalography Representation

A Neural Network Approach for ETA Prediction in Inland Waterway Transport

Continuous People Crowd Monitoring defined as a Regression Problem using Radar Networks

Effectiveness of trip planner data in predicting short-term bus ridership

Metaphors for Designers Working with AI

A Computational Analysis of Tentativeness and Causation in Design Talk

Reconstructing Phylogenetic Networks via Cherry Picking and Machine Learning

SpacePhish: The Evasion-space of Adversarial Attacks against Phishing Website Detectors using Machine Learning

CatIss: An Intelligent Tool for Categorizing Issues Reports using Transformers

Perceived challenges and opportunities of machine learning applications in governmental organisations: an interview-based exploration in the Netherlands

Type4Py: Practical Deep Similarity Learning-Based Type Inference for Python

Code Smells for Machine Learning Applications

Assessing Robustness of ML-Based Program Analysis Tools using Metamorphic Program Transformations

Development Of A Neural Network Embedding For Quantifying Crack Pattern Similarity In Masonry Structures

The Prevalence of Code Smells in Machine Learning Projects