Andrea Visentin

43 papers B 14Journal 20Unranked 9

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Hierarchical Modeling of Perceived Fatigue in Upper Limb Cross Tasks Using Wearable IMU and EMG Sensors. IEEE Access Malik Muhammad Qirtas, Marco Sica, Merve Nur Yasar, Patricia O'Sullivan, Brendan O'Flynn, Salvatore Tedesco, Matteo Menolotto, Andrea Visentin
2026	J	`jnl`	SHAPCA: Consistent and Interpretable Explanations for Machine Learning Models on Spectroscopy Data. CoRR Mingxing Zhang, Nicola Rossberg, Simone Innocente, Katarzyna Komolibus, Rekha Gautam, Barry O'Sullivan, Luca Longo, Andrea Visentin
2025	J	`jnl`	A Framework for Data Valuation and Monetisation. CoRR Eduardo Vyhmeister, Bastien Pietropaoli, UdoBub, Rob Schneider, Andrea Visentin
2025	B	`conf`	A Tool for Fairness Assessment and Red-Lining Detection in AI Systems. SMARTCOMP Dimitrios Bikoulis, Panagiotis E. Kyziropoulos, Eduardo Vyhmeister, Gabriel G. Castañé, Andrea Visentin
2025	J	`jnl`	Conformal Prediction for Electricity Price Forecasting in the Day-Ahead and Real-Time Balancing Market. CoRR Ciaran O'Connor, Mohamed Bahloul, Roberto Rossi, Steven D. Prestwich, Andrea Visentin
2025	B	`conf`	DEMO: EaseTalk: An LLM-Driven Speech Practice Tool for Real-Life Scenarios. SMARTCOMP Marco Faggiani, Malik Muhammad Qirtas, Pauline Frizelle, Fiona Ryan, Nicole Muller, Andrea Visentin
2025	B	`conf`	Data Monetization Through Tailored Demand Representation. SMARTCOMP Eduardo Vyhmeister, Lorenzo Reyes-Bozo, Dimitrios Bikoulis, Panagiotis E. Kyziropoulos, Gabriel G. Castañé, Andrea Visentin
2025	J	`jnl`	Data Quality Taxonomy for Data Monetization. CoRR Eduardo Vyhmeister, Bastien Pietropoli, Andrea Visentin
2025	B	`conf`	Estimating Perceived Fatigue Using Machine Learning and Biomechanical Features from Wearable Sensors. SMARTCOMP Malik Muhammad Qirtas, Merve Nur Yasar, Marco Sica, Salvatore Tedesco, Andrea Visentin
2025	J	`jnl`	Forecasting workload in cloud computing: towards uncertainty-aware predictions and transfer learning. Clust. Comput. Andrea Rossi, Andrea Visentin, Diego Carraro, Steven D. Prestwich, Kenneth N. Brown
2025	J	`jnl`	Image-based large language model approach to road pavement monitoring. Comput. Aided Civ. Infrastructure Eng. Shuoshuo Xu, Kai Zhao, James Loney, Zili Li, Andrea Visentin
2025	J	`jnl`	Machine Learning Applications to Diffuse Reflectance Spectroscopy in Optical Diagnosis; A Systematic Review. CoRR Nicola Rossberg, Celina L. Li, Simone Innocente, Stefan Andersson-Engels, Katarzyna Komolibus, Barry O'Sullivan, Andrea Visentin
2025	J	`jnl`	Metrics, KPIs, and Taxonomy for Data Valuation and Monetisation - A Systematic Literature Review. CoRR Eduardo Vyhmeister, Bastien Pietropaoli, Alejando Martinez Molina, Montserrat González Ferreiro, Gabriel González-Castañé, Jordi Arjona Aroca, Andrea Visentin
2025	J	`jnl`	Metrics, KPIs, and Taxonomy for Data Valuation and Monetisation - Internal Processes Perspective. CoRR Eduardo Vyhmeister, Bastien Pietropaoli, Alejando Martinez Molina, Montserrat González Ferreiro, Gabriel González-Castañé, Jordi Arjona Aroca, Andrea Visentin
2025	B	`conf`	Predicting Daily Depression Scores Using Passive Sensing: A Behaviour-Aware Approach to Missing Value Handling. SMARTCOMP Sarah Corbett, Nicola Rossberg, Malik Muhammad Qirtas, Andrea Visentin
2025	J	`jnl`	The Evolution of Probabilistic Price Forecasting Techniques: A Review of the Day-Ahead, Intra-Day, and Balancing Markets. CoRR Ciaran O'Connor, Mohamed Bahloul, Steven D. Prestwich, Andrea Visentin
2025	J	`jnl`	The Feature Understandability Scale for Human-Centred Explainable AI: Assessing Tabular Feature Importance. CoRR Nicola Rossberg, Bennett Kleinberg, Barry O'Sullivan, Luca Longo, Andrea Visentin
2025	B	`conf`	Unsupervised Induction Motor Anomaly Detection Using a Deep Convolutional Autoencoder Based on Multi-Sensor Data Fusion. SMARTCOMP Andrea Visentin, Marco Dalla, Benjamin Provan-Bessell, Barry O'Sullivan
2025	J	`jnl`	Zero-Shot Image-Based Large Language Model Approach to Road Pavement Monitoring. CoRR Shuoshuo Xu, Kai Zhao, James Loney, Zili Li, Andrea Visentin
2024	B	`conf`	A Machine Learning Approach to Model Counting. ICTAI Marco Dalla, Andrea Visentin, Barry O'Sullivan
2024	J	`jnl`	AI-Based Task Classification With Pressure Insoles for Occupational Safety. IEEE Access Patricia O'Sullivan, Matteo Menolotto, Andrea Visentin, Brendan O'Flynn, Dimitrios-Sokratis Komaris
2024	—	`conf`	AI-Informed Development for a Lactate Measurement Tool. AICS Cian Kiely, Nicola Rossberg, Shree Krishnamoorth, Andrea Visentin
2024	—	`conf`	Conformal Prediction Techniques for Electricity Price Forecasting. AALTD@ECML/PKDD Ciaran O'Connor, Steven D. Prestwich, Andrea Visentin
2024	—	`conf`	Deep Learning Pipeline for Blood Cell Segmentation, Classification and Counting. AICS Abhijeet Rao, Kiang Wei Kho, Vitaliy Mykytiv, Andrea Visentin
2024	J	`jnl`	Electricity Price Forecasting in the Irish Balancing Market. CoRR Ciaran O'Connor, Joseph Collins, Steven D. Prestwich, Andrea Visentin
2024	—	`conf`	Explainable Algorithm Selection for the Capacitated Lot Sizing Problem. CPAIOR (2) Andrea Visentin, Aodh Ó Gallchóir, Jens Kärcher, Herbert Meyr
2024	—	`conf`	Machine Learning Physical Fatigue Estimation Approach Based on IMU and EMG Wearable Sensors. AICS Suraj Prasannan Nair, Marco Sica, Salvatore Tedesco, Andrea Visentin
2024	J	`jnl`	Optimizing Quantile-based Trading Strategies in Electricity Arbitrage. CoRR Ciaran O'Connor, Joseph Collins, Steven D. Prestwich, Andrea Visentin
2024	B	`conf`	SAT Instances Generation Using Graph Variational Autoencoders. ESANN Daniel Crowley, Marco Dalla, Barry O'Sullivan, Andrea Visentin
2023	—	`conf`	Clustering-Based Numerosity Reduction for Cloud Workload Forecasting. ALGOCLOUD Andrea Rossi, Andrea Visentin, Steven D. Prestwich, Kenneth N. Brown
2023	B	`conf`	Performance and Energy Savings Trade-Off with Uncertainty-Aware Cloud Workload Forecasting. ICNP Diego Carraro, Andrea Rossi, Andrea Visentin, Steven D. Prestwich, Kenneth N. Brown
2023	B	`conf`	SAT Feature Analysis for Machine Learning Classification Tasks. SOCS Marco Dalla, Benjamin Provan-Bessell, Andrea Visentin, Barry O'Sullivan
2023	J	`jnl`	Stochastic dynamic programming heuristic for the (R,s,S) policy parameters computation. Comput. Oper. Res. Andrea Visentin, Steven D. Prestwich, Roberto Rossi, S. Armagan Tarim
2023	J	`jnl`	Uncertainty-Aware Workload Prediction in Cloud Computing. CoRR Andrea Rossi, Andrea Visentin, Steven D. Prestwich, Kenneth N. Brown
2023	B	`conf`	Using Machine Learning Classifiers in SAT Branching [Extended Abstract]. SOCS Ruth Helen Bergin, Marco Dalla, Andrea Visentin, Barry O'Sullivan, Gregory M. Provan
2022	B	`conf`	Bayesian Uncertainty Modelling for Cloud Workload Prediction. CLOUD Andrea Rossi, Andrea Visentin, Steven D. Prestwich, Kenneth N. Brown
2022	J	`jnl`	SATfeatPy - A Python-based Feature Extraction System for Satisfiability. CoRR Benjamin Provan-Bessell, Marco Dalla, Andrea Visentin, Barry O'Sullivan
2021	B	`conf`	Automated SAT Problem Feature Extraction using Convolutional Autoencoders. ICTAI Marco Dalla, Andrea Visentin, Barry O'Sullivan
2021	J	`jnl`	Computing optimal (R, s, S) policy parameters by a hybrid of branch-and-bound and stochastic dynamic programming. Eur. J. Oper. Res. Andrea Visentin, Steve Prestwich, Roberto Rossi, S. Armagan Tarim
2019	—	`conf`	Modelling Dynamic Programming-Based Global Constraints in Constraint Programming. WCGO Andrea Visentin, Steven D. Prestwich, Roberto Rossi, Armagan Tarim
2019	B	`conf`	Predicting Judicial Decisions: A Statistically Rigorous Approach and a New Ensemble Classifier. ICTAI Andrea Visentin, Alessia Nardotto, Barry O'Sullivan
2018	—	`conf`	Towards a Closer Integration of Dynamic Programming and Constraint Programming. GCAI Steven D. Prestwich, Roberto Rossi, S. Armagan Tarim, Andrea Visentin
2016	—	`conf`	Robust Principal Component Analysis by Reverse Iterative Linear Programming. ECML/PKDD (2) Andrea Visentin, Steven D. Prestwich, S. Armagan Tarim