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2020 – today
- 2024
[j3]Patricia O'Sullivan
, Matteo Menolotto, Andrea Visentin, Brendan O'Flynn, Dimitrios-Sokratis Komaris:
AI-Based Task Classification With Pressure Insoles for Occupational Safety. IEEE Access 12: 21347-21357 (2024)- [c11]Andrea Visentin, Aodh Ó Gallchóir, Jens Kärcher, Herbert Meyr:
Explainable Algorithm Selection for the Capacitated Lot Sizing Problem. CPAIOR (2) 2024: 243-252 - [i4]Ciaran O'Connor, Joseph Collins, Steven D. Prestwich, Andrea Visentin:
Electricity Price Forecasting in the Irish Balancing Market. CoRR abs/2402.06714 (2024) - [i3]Ciaran O'Connor, Joseph Collins, Steven D. Prestwich, Andrea Visentin:
Optimizing Quantile-based Trading Strategies in Electricity Arbitrage. CoRR abs/2406.13851 (2024) - 2023
- [j2]Andrea Visentin, Steven D. Prestwich, Roberto Rossi, S. Armagan Tarim:
Stochastic dynamic programming heuristic for the (R,s,S) policy parameters computation. Comput. Oper. Res. 158: 106289 (2023) - [c10]Andrea Rossi, Andrea Visentin, Steven D. Prestwich, Kenneth N. Brown:
Clustering-Based Numerosity Reduction for Cloud Workload Forecasting. ALGOCLOUD 2023: 115-132 - [c9]Diego Carraro, Andrea Rossi, Andrea Visentin, Steven D. Prestwich, Kenneth N. Brown:
Performance and Energy Savings Trade-Off with Uncertainty-Aware Cloud Workload Forecasting. ICNP 2023: 1-6 - [c8]Marco Dalla, Benjamin Provan-Bessell, Andrea Visentin, Barry O'Sullivan:
SAT Feature Analysis for Machine Learning Classification Tasks. SOCS 2023: 138-142 - [c7]Ruth Helen Bergin, Marco Dalla, Andrea Visentin, Barry O'Sullivan, Gregory M. Provan:
Using Machine Learning Classifiers in SAT Branching [Extended Abstract]. SOCS 2023: 169-170 - [i2]Andrea Rossi, Andrea Visentin, Steven D. Prestwich, Kenneth N. Brown:
Uncertainty-Aware Workload Prediction in Cloud Computing. CoRR abs/2303.13525 (2023) - 2022
- [c6]Andrea Rossi, Andrea Visentin, Steven D. Prestwich, Kenneth N. Brown:
Bayesian Uncertainty Modelling for Cloud Workload Prediction. CLOUD 2022: 19-29 - [i1]Benjamin Provan-Bessell, Marco Dalla, Andrea Visentin, Barry O'Sullivan:
SATfeatPy - A Python-based Feature Extraction System for Satisfiability. CoRR abs/2204.14116 (2022) - 2021
- [j1]Andrea Visentin, Steve Prestwich, Roberto Rossi, S. Armagan Tarim:
Computing optimal (R, s, S) policy parameters by a hybrid of branch-and-bound and stochastic dynamic programming. Eur. J. Oper. Res. 294(1): 91-99 (2021) - [c5]Marco Dalla, Andrea Visentin, Barry O'Sullivan:
Automated SAT Problem Feature Extraction using Convolutional Autoencoders. ICTAI 2021: 232-239
2010 – 2019
- 2019
- [c4]Andrea Visentin, Alessia Nardotto, Barry O'Sullivan:
Predicting Judicial Decisions: A Statistically Rigorous Approach and a New Ensemble Classifier. ICTAI 2019: 1820-1824 - [c3]Andrea Visentin, Steven D. Prestwich, Roberto Rossi, Armagan Tarim:
Modelling Dynamic Programming-Based Global Constraints in Constraint Programming. WCGO 2019: 417-427 - 2018
- [c2]Steven D. Prestwich, Roberto Rossi, S. Armagan Tarim, Andrea Visentin:
Towards a Closer Integration of Dynamic Programming and Constraint Programming. GCAI 2018: 202-214 - 2016
- [c1]Andrea Visentin, Steven D. Prestwich, S. Armagan Tarim:
Robust Principal Component Analysis by Reverse Iterative Linear Programming. ECML/PKDD (2) 2016: 593-605
Coauthor Index
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