Debiased Offline Evaluation of Active Learning in Recommender Systems. - Diego Carraro; Derek Bridge 001 (FLAIRS, 2020)

Debiased offline evaluation of recommender systems: a weighted-sampling approach. - Diego Carraro; Derek Bridge 001 (SAC, 2020)

Active learning in recommender systems: an unbiased and beyond-accuracy perspective. - Diego Carraro (2020)

CouRGe: Counterfactual Reviews Generator for Sentiment Analysis. - Diego Carraro; Kenneth N. Brown (AICS, 2022)

A sampling approach to Debiasing the offline evaluation of recommender systems. - Diego Carraro; Derek Bridge 001 (J. Intell. Inf. Syst., 2022)

Personalised Programming Education with Knowledge Tracing. - Martha Shaka; Diego Carraro; Kenneth N. Brown (HCAIep, 2023)

Performance and Energy Savings Trade-Off with Uncertainty-Aware Cloud Workload Forecasting. - Diego Carraro; Andrea Rossi 010; Andrea Visentin; Steven D. Prestwich; Kenneth N. Brown (ICNP, 2023)

Error Tracing in Programming: A Path to Personalised Feedback. - Martha Shaka; Diego Carraro; Kenneth N. Brown (BEA, 2024)

Enhancing Recommendation Diversity by Re-ranking with Large Language Models. - Diego Carraro; Derek Bridge 001 (CoRR, 2024)

Personalised Code and Error Predictions in Programming Education via Large Language Models. - Martha Shaka; Diego Carraro; Kenneth N. Brown (AIED (3), 2025)

Forecasting workload in cloud computing: towards uncertainty-aware predictions and transfer learning. - Andrea Rossi 010; Andrea Visentin; Diego Carraro; Steven D. Prestwich; Kenneth N. Brown (Clust. Comput., 2025)