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ORCIDAndrea Visentin
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2020 – today
- 2026
[j6]Malik Muhammad Qirtas
, Marco Sica, Merve Nur Yasar, Patricia O'Sullivan, Brendan O'Flynn, Salvatore Tedesco, Matteo Menolotto, Andrea Visentin:
Hierarchical Modeling of Perceived Fatigue in Upper Limb Cross Tasks Using Wearable IMU and EMG Sensors. IEEE Access 14: 17145-17165 (2026)- [c25]Paul Ben O'Brien, Malik Muhammad Qirtas, Andrea Visentin:
Robust Wearable Stress Detection using Physiological Feature Engineering and Subject-Independent Evaluation. SmartComp Companion 2026: 7-12 - [c24]Álvaro García, Simone Innocente, Nicola Rossberg, Malik Muhammad Qirtas, Andrea Visentin:
RamanLLM: Reprogramming Frozen Large Language Models for Raman Spectral Analysis. SmartComp Companion 2026: 25-30 - [i17]Mingxing Zhang, Nicola Rossberg, Simone Innocente, Katarzyna Komolibus, Rekha Gautam, Barry O'Sullivan, Luca Longo, Andrea Visentin:
SHAPCA: Consistent and Interpretable Explanations for Machine Learning Models on Spectroscopy Data. CoRR abs/2603.19141 (2026) - [i16]Nicola Rossberg, Bennett Kleinberg, Barry O'Sullivan, Luca Longo, Andrea Visentin:
Improving Explanations: Applying the Feature Understandability Scale for Cost-Sensitive Feature Selection. CoRR abs/2604.05790 (2026) - [i15]Saheed Faremi, Andrea Visentin, Luca Longo:
Interpretable EEG Microstate Discovery via Variational Deep Embedding: A Systematic Architecture Search with Multi-Quadrant Evaluation. CoRR abs/2605.10947 (2026) - [i14]Ramin Soleimani, Andrea Visentin, Dirk Pesch:
Behaviour-Conditioned Neural Processes for Adaptive Residential Short-Term Load Forecasting. CoRR abs/2607.16168 (2026) - 2025
- [j5]Shuoshuo Xu, Kai Zhao, James Loney, Zili Li, Andrea Visentin:
Image-based large language model approach to road pavement monitoring. Comput. Aided Civ. Infrastructure Eng. 40(26): 4448-4464 (2025) - [j4]Andrea Rossi, Andrea Visentin, Diego Carraro, Steven D. Prestwich, Kenneth N. Brown:
Forecasting workload in cloud computing: towards uncertainty-aware predictions and transfer learning. Clust. Comput. 28(4): 258 (2025) - [c23]Andrea Visentin, Marco Dalla, Benjamin Provan-Bessell, Barry O'Sullivan:
Unsupervised Induction Motor Anomaly Detection Using a Deep Convolutional Autoencoder Based on Multi-Sensor Data Fusion. SMARTCOMP 2025: 194-201 - [c22]Marco Faggiani, Malik Muhammad Qirtas, Pauline Frizelle, Fiona Ryan, Nicole Muller, Andrea Visentin:
DEMO: EaseTalk: An LLM-Driven Speech Practice Tool for Real-Life Scenarios. SMARTCOMP 2025: 246-248 - [c21]Sarah Corbett, Nicola Rossberg, Malik Muhammad Qirtas, Andrea Visentin:
Predicting Daily Depression Scores Using Passive Sensing: A Behaviour-Aware Approach to Missing Value Handling. SMARTCOMP 2025: 312-317 - [c20]Malik Muhammad Qirtas, Merve Nur Yasar, Marco Sica, Salvatore Tedesco, Andrea Visentin:
Estimating Perceived Fatigue Using Machine Learning and Biomechanical Features from Wearable Sensors. SMARTCOMP 2025: 342-347 - [c19]Eduardo Vyhmeister, Lorenzo Reyes-Bozo, Dimitrios Bikoulis, Panagiotis E. Kyziropoulos, Gabriel G. Castañé, Andrea Visentin:
Data Monetization Through Tailored Demand Representation. SMARTCOMP 2025: 510-515 - [c18]Dimitrios Bikoulis, Panagiotis E. Kyziropoulos, Eduardo Vyhmeister, Gabriel G. Castañé, Andrea Visentin:
A Tool for Fairness Assessment and Red-Lining Detection in AI Systems. SMARTCOMP 2025: 522-527 - [i13]Ciaran O'Connor, Mohamed Bahloul, Roberto Rossi, Steven D. Prestwich, Andrea Visentin:
Conformal Prediction for Electricity Price Forecasting in the Day-Ahead and Real-Time Balancing Market. CoRR abs/2502.04935 (2025) - [i12]Nicola Rossberg, Celina L. Li, Simone Innocente, Stefan Andersson-Engels, Katarzyna Komolibus, Barry O'Sullivan, Andrea Visentin:
Machine Learning Applications to Diffuse Reflectance Spectroscopy in Optical Diagnosis; A Systematic Review. CoRR abs/2503.02905 (2025) - [i11]Shuoshuo Xu, Kai Zhao, James Loney, Zili Li, Andrea Visentin:
Zero-Shot Image-Based Large Language Model Approach to Road Pavement Monitoring. CoRR abs/2504.06785 (2025) - [i10]Eduardo Vyhmeister, Bastien Pietropaoli, Alejando Martinez Molina, Montserrat González Ferreiro, Gabriel González-Castañé, Jordi Arjona Aroca, Andrea Visentin:
Metrics, KPIs, and Taxonomy for Data Valuation and Monetisation - A Systematic Literature Review. CoRR abs/2508.18331 (2025) - [i9]Eduardo Vyhmeister, Bastien Pietropoli, Andrea Visentin:
Data Quality Taxonomy for Data Monetization. CoRR abs/2510.00089 (2025) - [i8]Nicola Rossberg, Bennett Kleinberg, Barry O'Sullivan, Luca Longo, Andrea Visentin:
The Feature Understandability Scale for Human-Centred Explainable AI: Assessing Tabular Feature Importance. CoRR abs/2510.07050 (2025) - [i7]Ciaran O'Connor, Mohamed Bahloul, Steven D. Prestwich, Andrea Visentin:
The Evolution of Probabilistic Price Forecasting Techniques: A Review of the Day-Ahead, Intra-Day, and Balancing Markets. CoRR abs/2511.05523 (2025) - [i6]Eduardo Vyhmeister, Bastien Pietropaoli, UdoBub, Rob Schneider, Andrea Visentin:
A Framework for Data Valuation and Monetisation. CoRR abs/2512.07664 (2025) - [i5]Eduardo Vyhmeister, Bastien Pietropaoli, Alejando Martinez Molina, Montserrat González Ferreiro, Gabriel González-Castañé, Jordi Arjona Aroca, Andrea Visentin:
Metrics, KPIs, and Taxonomy for Data Valuation and Monetisation - Internal Processes Perspective. CoRR abs/2512.10622 (2025) - 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) - [c17]Ciaran O'Connor, Steven D. Prestwich, Andrea Visentin:
Conformal Prediction Techniques for Electricity Price Forecasting. AALTD@ECML/PKDD 2024: 1-17 - [c16]Cian Kiely, Nicola Rossberg, Shree Krishnamoorth, Andrea Visentin:
AI-Informed Development for a Lactate Measurement Tool. AICS 2024: 434-446 - [c15]Abhijeet Rao, Kiang Wei Kho, Vitaliy Mykytiv, Andrea Visentin:
Deep Learning Pipeline for Blood Cell Segmentation, Classification and Counting. AICS 2024: 460-472 - [c14]Suraj Prasannan Nair, Marco Sica, Salvatore Tedesco, Andrea Visentin:
Machine Learning Physical Fatigue Estimation Approach Based on IMU and EMG Wearable Sensors. AICS 2024: 486-498 - [c13]Andrea Visentin, Aodh Ó Gallchóir, Jens Kärcher, Herbert Meyr:
Explainable Algorithm Selection for the Capacitated Lot Sizing Problem. CPAIOR (2) 2024: 243-252 - [c12]Daniel Crowley, Marco Dalla, Barry O'Sullivan, Andrea Visentin:
SAT Instances Generation Using Graph Variational Autoencoders. ESANN 2024 - [c11]Marco Dalla, Andrea Visentin, Barry O'Sullivan:
A Machine Learning Approach to Model Counting. ICTAI 2024: 881-888 - [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
aka: Steve Prestwich
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last updated on 2026-09-02 01:24 CEST by the dblp team
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