Robust Principal Component Analysis by Reverse Iterative Linear Programming. - Andrea Visentin; Steven D. Prestwich; S. Armagan Tarim (ECML/PKDD (2), 2016)

Towards a Closer Integration of Dynamic Programming and Constraint Programming. - Steven D. Prestwich; Roberto Rossi 002; S. Armagan Tarim; Andrea Visentin (GCAI, 2018)

Predicting Judicial Decisions: A Statistically Rigorous Approach and a New Ensemble Classifier. - Andrea Visentin; Alessia Nardotto; Barry O'Sullivan (ICTAI, 2019)

Modelling Dynamic Programming-Based Global Constraints in Constraint Programming. - Andrea Visentin; Steven D. Prestwich; Roberto Rossi 002; Armagan Tarim (WCGO, 2019)

Automated SAT Problem Feature Extraction using Convolutional Autoencoders. - Marco Dalla; Andrea Visentin; Barry O'Sullivan (ICTAI, 2021)

Computing optimal (R, s, S) policy parameters by a hybrid of branch-and-bound and stochastic dynamic programming. - Andrea Visentin; Steve Prestwich; Roberto Rossi 002; S. Armagan Tarim (Eur. J. Oper. Res., 2021)

Bayesian Uncertainty Modelling for Cloud Workload Prediction. - Andrea Rossi 010; Andrea Visentin; Steven D. Prestwich; Kenneth N. Brown (CLOUD, 2022)

SATfeatPy - A Python-based Feature Extraction System for Satisfiability. - Benjamin Provan-Bessell; Marco Dalla; Andrea Visentin; Barry O'Sullivan (CoRR, 2022)

Clustering-Based Numerosity Reduction for Cloud Workload Forecasting. - Andrea Rossi 010; Andrea Visentin; Steven D. Prestwich; Kenneth N. Brown (ALGOCLOUD, 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)

Using Machine Learning Classifiers in SAT Branching [Extended Abstract]. - Ruth Helen Bergin; Marco Dalla; Andrea Visentin; Barry O'Sullivan; Gregory M. Provan (SOCS, 2023)

SAT Feature Analysis for Machine Learning Classification Tasks. - Marco Dalla; Benjamin Provan-Bessell; Andrea Visentin; Barry O'Sullivan (SOCS, 2023)

Uncertainty-Aware Workload Prediction in Cloud Computing. - Andrea Rossi 010; Andrea Visentin; Steven D. Prestwich; Kenneth N. Brown (CoRR, 2023)

Stochastic dynamic programming heuristic for the (R,s,S) policy parameters computation. - Andrea Visentin; Steven D. Prestwich; Roberto Rossi 002; S. Armagan Tarim (Comput. Oper. Res., 2023)

Conformal Prediction Techniques for Electricity Price Forecasting. - Ciaran O'Connor; Steven D. Prestwich; Andrea Visentin (AALTD@ECML/PKDD, 2024)

AI-Informed Development for a Lactate Measurement Tool. - Cian Kiely; Nicola Rossberg; Shree Krishnamoorth; Andrea Visentin (AICS, 2024)

Machine Learning Physical Fatigue Estimation Approach Based on IMU and EMG Wearable Sensors. - Suraj Prasannan Nair; Marco Sica; Salvatore Tedesco; Andrea Visentin (AICS, 2024)

Deep Learning Pipeline for Blood Cell Segmentation, Classification and Counting. - Abhijeet Rao; Kiang Wei Kho; Vitaliy Mykytiv; Andrea Visentin (AICS, 2024)

Explainable Algorithm Selection for the Capacitated Lot Sizing Problem. - Andrea Visentin; Aodh Ó Gallchóir; Jens Kärcher; Herbert Meyr (CPAIOR (2), 2024)

SAT Instances Generation Using Graph Variational Autoencoders. - Daniel Crowley; Marco Dalla; Barry O'Sullivan; Andrea Visentin (ESANN, 2024)

A Machine Learning Approach to Model Counting. - Marco Dalla; Andrea Visentin; Barry O'Sullivan (ICTAI, 2024)

AI-Based Task Classification With Pressure Insoles for Occupational Safety. - Patricia O'Sullivan; Matteo Menolotto; Andrea Visentin; Brendan O'Flynn; Dimitrios-Sokratis Komaris (IEEE Access, 2024)

Electricity Price Forecasting in the Irish Balancing Market. - Ciaran O'Connor; Joseph Collins; Steven D. Prestwich; Andrea Visentin (CoRR, 2024)

Optimizing Quantile-based Trading Strategies in Electricity Arbitrage. - Ciaran O'Connor; Joseph Collins; Steven D. Prestwich; Andrea Visentin (CoRR, 2024)

A Tool for Fairness Assessment and Red-Lining Detection in AI Systems. - Dimitrios Bikoulis; Panagiotis E. Kyziropoulos; Eduardo Vyhmeister; Gabriel G. Castañé; Andrea Visentin (SMARTCOMP, 2025)

Predicting Daily Depression Scores Using Passive Sensing: A Behaviour-Aware Approach to Missing Value Handling. - Sarah Corbett; Nicola Rossberg; Malik Muhammad Qirtas; Andrea Visentin (SMARTCOMP, 2025)

DEMO: EaseTalk: An LLM-Driven Speech Practice Tool for Real-Life Scenarios. - Marco Faggiani; Malik Muhammad Qirtas; Pauline Frizelle; Fiona Ryan; Nicole Muller; Andrea Visentin (SMARTCOMP, 2025)

Estimating Perceived Fatigue Using Machine Learning and Biomechanical Features from Wearable Sensors. - Malik Muhammad Qirtas; Merve Nur Yasar; Marco Sica; Salvatore Tedesco; Andrea Visentin (SMARTCOMP, 2025)

Unsupervised Induction Motor Anomaly Detection Using a Deep Convolutional Autoencoder Based on Multi-Sensor Data Fusion. - Andrea Visentin; Marco Dalla; Benjamin Provan-Bessell; Barry O'Sullivan (SMARTCOMP, 2025)

Data Monetization Through Tailored Demand Representation. - Eduardo Vyhmeister; Lorenzo Reyes-Bozo; Dimitrios Bikoulis; Panagiotis E. Kyziropoulos; Gabriel G. Castañé; Andrea Visentin (SMARTCOMP, 2025)

Conformal Prediction for Electricity Price Forecasting in the Day-Ahead and Real-Time Balancing Market. - Ciaran O'Connor; Mohamed Bahloul; Roberto Rossi 002; Steven D. Prestwich; Andrea Visentin (CoRR, 2025)

Machine Learning Applications to Diffuse Reflectance Spectroscopy in Optical Diagnosis; A Systematic Review. - Nicola Rossberg; Celina L. Li; Simone Innocente; Stefan Andersson-Engels; Katarzyna Komolibus; Barry O'Sullivan; Andrea Visentin (CoRR, 2025)

Zero-Shot Image-Based Large Language Model Approach to Road Pavement Monitoring. - Shuoshuo Xu; Kai Zhao; James Loney; Zili Li 009; Andrea Visentin (CoRR, 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)