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

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

A Computational Analysis of Tentativeness and Causation in Design Talk

The Prevalence of Code Smells in Machine Learning Projects

Measuring Cybercrime as a Service (CaaS) Offerings in a Cybercrime Forum

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

Reconstructing Phylogenetic Networks via Cherry Picking and Machine Learning

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

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

Towards Automatic Principles of Persuasion Detection Using Machine Learning Approach

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

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

ManyTypes4Py: A benchmark python dataset for machine learning-based type inference

Continuous human activity recognition for arbitrary directions with distributed radars

Brain Activity Recognition using Deep Electroencephalography Representation

Improving Test Case Generation for REST APIs Through Hierarchical Clustering

Symbolic regression of algebraic stress-strain relation for RANS turbulence closure