Andrea Visentin

Orcid: 0000-0003-3702-4826

According to our database1, Andrea Visentin authored at least 22 papers between 2016 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
Conformal Prediction for Electricity Price Forecasting in the Day-Ahead and Real-Time Balancing Market.
CoRR, February, 2025

2024
Optimizing Quantile-based Trading Strategies in Electricity Arbitrage.
CoRR, 2024

Electricity Price Forecasting in the Irish Balancing Market.
CoRR, 2024

AI-Based Task Classification With Pressure Insoles for Occupational Safety.
IEEE Access, 2024

A Machine Learning Approach to Model Counting.
Proceedings of the 36th IEEE International Conference on Tools with Artificial Intelligence, 2024

SAT Instances Generation Using Graph Variational Autoencoders.
Proceedings of the 32nd European Symposium on Artificial Neural Networks, 2024

Explainable Algorithm Selection for the Capacitated Lot Sizing Problem.
Proceedings of the Integration of Constraint Programming, Artificial Intelligence, and Operations Research, 2024

Conformal Prediction Techniques for Electricity Price Forecasting.
Proceedings of the Advanced Analytics and Learning on Temporal Data, 2024

2023
Stochastic dynamic programming heuristic for the (R,s,S) policy parameters computation.
Comput. Oper. Res., October, 2023

Uncertainty-Aware Workload Prediction in Cloud Computing.
CoRR, 2023

SAT Feature Analysis for Machine Learning Classification Tasks.
Proceedings of the Sixteenth International Symposium on Combinatorial Search, 2023

Using Machine Learning Classifiers in SAT Branching [Extended Abstract].
Proceedings of the Sixteenth International Symposium on Combinatorial Search, 2023

Performance and Energy Savings Trade-Off with Uncertainty-Aware Cloud Workload Forecasting.
Proceedings of the 31st IEEE International Conference on Network Protocols, 2023

Clustering-Based Numerosity Reduction for Cloud Workload Forecasting.
Proceedings of the Algorithmic Aspects of Cloud Computing - 8th International Symposium, 2023

2022
SATfeatPy - A Python-based Feature Extraction System for Satisfiability.
CoRR, 2022

Bayesian Uncertainty Modelling for Cloud Workload Prediction.
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.
Eur. J. Oper. Res., 2021

Automated SAT Problem Feature Extraction using Convolutional Autoencoders.
Proceedings of the 33rd IEEE International Conference on Tools with Artificial Intelligence, 2021

2019
Modelling Dynamic Programming-Based Global Constraints in Constraint Programming.
Proceedings of the Optimization of Complex Systems: Theory, 2019

Predicting Judicial Decisions: A Statistically Rigorous Approach and a New Ensemble Classifier.
Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019

2018
Towards a Closer Integration of Dynamic Programming and Constraint Programming.
Proceedings of the GCAI-2018, 2018

2016
Robust Principal Component Analysis by Reverse Iterative Linear Programming.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016


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