Andrea Visentin

According to our database, Andrea Visentin authored at least 45 papers between 2016 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Interpretable EEG Microstate Discovery via Variational Deep Embedding: A Systematic Architecture Search with Multi-Quadrant Evaluation.

Saheed Faremi, Andrea Visentin, Luca Longo

CoRR, May, 2026

Improving Explanations: Applying the Feature Understandability Scale for Cost-Sensitive Feature Selection.

Nicola Rossberg, Bennett Kleinberg, Barry O'Sullivan, Luca Longo, Andrea Visentin

CoRR, April, 2026

SHAPCA: Consistent and Interpretable Explanations for Machine Learning Models on Spectroscopy Data.

Mingxing Zhang, Nicola Rossberg, Simone Innocente, Katarzyna Komolibus, Rekha Gautam, Barry O'Sullivan, Luca Longo, Andrea Visentin

CoRR, March, 2026

Hierarchical Modeling of Perceived Fatigue in Upper Limb Cross Tasks Using Wearable IMU and EMG Sensors.

Malik Muhammad Qirtas, Marco Sica, Merve Nur Yasar, Patricia O'Sullivan, Brendan O'Flynn, Salvatore Tedesco, Matteo Menolotto, Andrea Visentin

IEEE Access, 2026

2025

Metrics, KPIs, and Taxonomy for Data Valuation and Monetisation - Internal Processes Perspective.

Eduardo Vyhmeister, Bastien Pietropaoli, Alejando Martinez Molina, Montserrat González Ferreiro, Gabriel González-Castañé, Jordi Arjona Aroca, Andrea Visentin

CoRR, December, 2025

A Framework for Data Valuation and Monetisation.

Eduardo Vyhmeister, Bastien Pietropaoli, UdoBub, Rob Schneider, Andrea Visentin

CoRR, December, 2025

The Evolution of Probabilistic Price Forecasting Techniques: A Review of the Day-Ahead, Intra-Day, and Balancing Markets.

Ciaran O'Connor, Mohamed Bahloul, Steven D. Prestwich, Andrea Visentin

CoRR, November, 2025

The Feature Understandability Scale for Human-Centred Explainable AI: Assessing Tabular Feature Importance.

Nicola Rossberg, Bennett Kleinberg, Barry O'Sullivan, Luca Longo, Andrea Visentin

CoRR, October, 2025

Data Quality Taxonomy for Data Monetization.

Eduardo Vyhmeister, Bastien Pietropoli, Andrea Visentin

CoRR, October, 2025

Metrics, KPIs, and Taxonomy for Data Valuation and Monetisation - A Systematic Literature Review.

Eduardo Vyhmeister, Bastien Pietropaoli, Alejando Martinez Molina, Montserrat González Ferreiro, Gabriel González-Castañé, Jordi Arjona Aroca, Andrea Visentin

CoRR, August, 2025

Forecasting workload in cloud computing: towards uncertainty-aware predictions and transfer learning.

Andrea Rossi, Andrea Visentin, Diego Carraro, Steven D. Prestwich, Kenneth N. Brown

Clust. Comput., August, 2025

Zero-Shot Image-Based Large Language Model Approach to Road Pavement Monitoring.

Shuoshuo Xu, Kai Zhao, James Loney, Zili Li, Andrea Visentin

CoRR, April, 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, March, 2025

Conformal Prediction for Electricity Price Forecasting in the Day-Ahead and Real-Time Balancing Market.

Ciaran O'Connor, Mohamed Bahloul, Roberto Rossi, Steven D. Prestwich, Andrea Visentin

CoRR, February, 2025

Image-based large language model approach to road pavement monitoring.

Shuoshuo Xu, Kai Zhao, James Loney, Zili Li, Andrea Visentin

Comput. Aided Civ. Infrastructure Eng., 2025

Data Monetization Through Tailored Demand Representation.

Eduardo Vyhmeister, Lorenzo Reyes-Bozo, Dimitrios Bikoulis, Panagiotis E. Kyziropoulos, Gabriel G. Castañé, Andrea Visentin

Proceedings of the IEEE International Conference on Smart Computing, 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

Proceedings of the IEEE International Conference on Smart Computing, 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

Proceedings of the IEEE International Conference on Smart Computing, 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

Proceedings of the IEEE International Conference on Smart Computing, 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

Proceedings of the IEEE International Conference on Smart Computing, 2025

A Tool for Fairness Assessment and Red-Lining Detection in AI Systems.

Dimitrios Bikoulis, Panagiotis E. Kyziropoulos, Eduardo Vyhmeister, Gabriel G. Castañé, Andrea Visentin

Proceedings of the IEEE International Conference on Smart Computing, 2025

2024

Optimizing Quantile-based Trading Strategies in Electricity Arbitrage.

Ciaran O'Connor, Joseph Collins, Steven D. Prestwich, Andrea Visentin

CoRR, 2024

Electricity Price Forecasting in the Irish Balancing Market.

Ciaran O'Connor, Joseph Collins, Steven D. Prestwich, Andrea Visentin

CoRR, 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

A Machine Learning Approach to Model Counting.

Marco Dalla, Andrea Visentin, Barry O'Sullivan

Proceedings of the 36th IEEE International Conference on Tools with Artificial Intelligence, 2024

SAT Instances Generation Using Graph Variational Autoencoders.

Daniel Crowley, Marco Dalla, Barry O'Sullivan, Andrea Visentin

Proceedings of the 32nd European Symposium on Artificial Neural Networks, 2024

Explainable Algorithm Selection for the Capacitated Lot Sizing Problem.

Andrea Visentin, Aodh Ó Gallchóir, Jens Kärcher, Herbert Meyr

Proceedings of the Integration of Constraint Programming, Artificial Intelligence, and Operations Research, 2024

Deep Learning Pipeline for Blood Cell Segmentation, Classification and Counting.

Abhijeet Rao, Kiang Wei Kho, Vitaliy Mykytiv, Andrea Visentin

Proceedings of The 32nd Irish Conference on Artificial Intelligence and Cognitive Science, 2024

Machine Learning Physical Fatigue Estimation Approach Based on IMU and EMG Wearable Sensors.

Suraj Prasannan Nair, Marco Sica, Salvatore Tedesco, Andrea Visentin

Proceedings of The 32nd Irish Conference on Artificial Intelligence and Cognitive Science, 2024

AI-Informed Development for a Lactate Measurement Tool.

Cian Kiely, Nicola Rossberg, Shree Krishnamoorth, Andrea Visentin

Proceedings of The 32nd Irish Conference on Artificial Intelligence and Cognitive Science, 2024

Conformal Prediction Techniques for Electricity Price Forecasting.

Ciaran O'Connor, Steven D. Prestwich, Andrea Visentin

Proceedings of the Advanced Analytics and Learning on Temporal Data, 2024

2023

Stochastic dynamic programming heuristic for the (R,s,S) policy parameters computation.

Andrea Visentin, Steven D. Prestwich, Roberto Rossi, S. Armagan Tarim

Comput. Oper. Res., October, 2023

Uncertainty-Aware Workload Prediction in Cloud Computing.

Andrea Rossi, Andrea Visentin, Steven D. Prestwich, Kenneth N. Brown

CoRR, 2023

SAT Feature Analysis for Machine Learning Classification Tasks.

Marco Dalla, Benjamin Provan-Bessell, Andrea Visentin, Barry O'Sullivan

Proceedings of the Sixteenth International Symposium on Combinatorial Search, 2023

Using Machine Learning Classifiers in SAT Branching [Extended Abstract].

Ruth Helen Bergin, Marco Dalla, Andrea Visentin, Barry O'Sullivan, Gregory M. Provan

Proceedings of the Sixteenth International Symposium on Combinatorial Search, 2023

Performance and Energy Savings Trade-Off with Uncertainty-Aware Cloud Workload Forecasting.

Diego Carraro, Andrea Rossi, Andrea Visentin, Steven D. Prestwich, Kenneth N. Brown

Proceedings of the 31st IEEE International Conference on Network Protocols, 2023

Clustering-Based Numerosity Reduction for Cloud Workload Forecasting.

Andrea Rossi, Andrea Visentin, Steven D. Prestwich, Kenneth N. Brown

Proceedings of the Algorithmic Aspects of Cloud Computing - 8th International Symposium, 2023

2022

SATfeatPy - A Python-based Feature Extraction System for Satisfiability.

Benjamin Provan-Bessell, Marco Dalla, Andrea Visentin, Barry O'Sullivan

CoRR, 2022

Bayesian Uncertainty Modelling for Cloud Workload Prediction.

Andrea Rossi, Andrea Visentin, Steven D. Prestwich, Kenneth N. Brown

Proceedings of the IEEE 15th International Conference on Cloud Computing, 2022

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, S. Armagan Tarim

Eur. J. Oper. Res., 2021

Automated SAT Problem Feature Extraction using Convolutional Autoencoders.

Marco Dalla, Andrea Visentin, Barry O'Sullivan

Proceedings of the 33rd IEEE International Conference on Tools with Artificial Intelligence, 2021

2019

Modelling Dynamic Programming-Based Global Constraints in Constraint Programming.

Andrea Visentin, Steven D. Prestwich, Roberto Rossi, Armagan Tarim

Proceedings of the Optimization of Complex Systems: Theory, 2019

Predicting Judicial Decisions: A Statistically Rigorous Approach and a New Ensemble Classifier.

Andrea Visentin, Alessia Nardotto, Barry O'Sullivan

Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019

2018

Towards a Closer Integration of Dynamic Programming and Constraint Programming.

Steven D. Prestwich, Roberto Rossi, S. Armagan Tarim, Andrea Visentin

Proceedings of the GCAI-2018, 2018

2016

Robust Principal Component Analysis by Reverse Iterative Linear Programming.

Andrea Visentin, Steven D. Prestwich, S. Armagan Tarim

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016