Bayesian Sensitivity Analysis for a Missing Data Model: Incorporating Covariates via a Cox Model

The influence of the dimensionality on the parameters of the learning curve model

Evaluating Data Distribution Based Concept Drift Detectors

Detecting Concept Drift in Deployed Machine Learning Models: How well do Margin Density-based concept drift detectors identify concept drift in case of synthetic/real-world data?

How Well do Clustering Similarities-Based Concept Drift Detectors Identify Drift in case of Synthetic/Real-World Data?

A Comparative Study of Process Mining Tools: FlexFringe, ProM, MINT and PRINS

Deep learning-based surrogate modelling for 2D flood simulation

Measuring the quality of publicly available synthetic IDS datasets: A comparative study

Learning the Limit Order Book: a comprehensive mix between stochastic and machine learning models for generation and prediction

Prediction models for adverse outcomes in Covid-19 patients

Sharing human mental model with an AI agent to achieve team effectiveness

Influence of shared information on predictability in human-agent teams

Evaluating the Suitability of SoundFingerprinting for Music Identification in Movies

Assessing the Suitability of Panako for Music Identification in Movies

The Influence of Information Sharing on the Predictability of the Human to an Agent

Indexing Music in Movies Using Audio Fingerprinting: An Audioneex Study

Directability’s influence on human-agent trust

Performance of the Dejavu audio fingerprinting framework in music identification in movies

Analysing the performance of the OLAF framework in the context of identifying music in movies

Accuracy-Diversity Trade-off in Recommender Systems Via Graph Convolutions