| 2026 | SmartComp | RamanLLM: Reprogramming Frozen Large Language Models for Raman Spectral Analysis. | lvaro Garca, Simone Innocente, Nicola Rossberg, Malik Muhammad Qirtas, Andrea Visentin |
| 2026 | SmartComp | Robust Wearable Stress Detection using Physiological Feature Engineering and Subject-Independent Evaluation. | Paul Ben O'Brien, Malik Muhammad Qirtas, Andrea Visentin |
| 2025 | SmartComp | A Tool for Fairness Assessment and Red-Lining Detection in AI Systems. | Dimitrios Bikoulis, Panagiotis E. Kyziropoulos, Eduardo Vyhmeister, Gabriel G. Casta, Andrea Visentin |
| 2025 | SmartComp | Predicting Daily Depression Scores Using Passive Sensing: A Behaviour-Aware Approach to Missing Value Handling. | Sarah Corbett, Nicola Rossberg, Malik Muhammad Qirtas, Andrea Visentin |
| 2025 | SmartComp | 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 |
| 2025 | SmartComp | Estimating Perceived Fatigue Using Machine Learning and Biomechanical Features from Wearable Sensors. | Malik Muhammad Qirtas, Merve Nur Yasar, Marco Sica, Salvatore Tedesco, Andrea Visentin |
| 2025 | SmartComp | 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 |
| 2025 | SmartComp | Data Monetization Through Tailored Demand Representation. | Eduardo Vyhmeister, Lorenzo Reyes-Bozo, Dimitrios Bikoulis, Panagiotis E. Kyziropoulos, Gabriel G. Casta, Andrea Visentin |
| 2024 | CPAIOR | Explainable Algorithm Selection for the Capacitated Lot Sizing Problem. | Andrea Visentin, Aodh Gallchir, Jens Krcher, Herbert Meyr |
| 2024 | ESANN | SAT Instances Generation Using Graph Variational Autoencoders. | Daniel Crowley, Marco Dalla, Barry O'Sullivan, Andrea Visentin |
| 2024 | ICTAI | A Machine Learning Approach to Model Counting. | Marco Dalla, Andrea Visentin, Barry O'Sullivan |
| 2023 | ICNP | Performance and Energy Savings Trade-Off with Uncertainty-Aware Cloud Workload Forecasting. | Diego Carraro, Andrea Rossi, Andrea Visentin, Steven D. Prestwich, Kenneth N. Brown |
| 2023 | SoCS | Using Machine Learning Classifiers in SAT Branching [Extended Abstract]. | Ruth Helen Bergin, Marco Dalla, Andrea Visentin, Barry O'Sullivan, Gregory M. Provan |
| 2023 | SoCS | SAT Feature Analysis for Machine Learning Classification Tasks. | Marco Dalla, Benjamin Provan-Bessell, Andrea Visentin, Barry O'Sullivan |
| 2021 | ICTAI | Automated SAT Problem Feature Extraction using Convolutional Autoencoders. | Marco Dalla, Andrea Visentin, Barry O'Sullivan |
| 2019 | ICTAI | Predicting Judicial Decisions: A Statistically Rigorous Approach and a New Ensemble Classifier. | Andrea Visentin, Alessia Nardotto, Barry O'Sullivan |