Pubblicazioni

Miralles, Pablo; Thangavel, Kathiravan; Fulvio Scannapieco, Antonio; Jagadam, Nitya; Baranwal, Prerna; Faldu, Bhavin; Abhang, Ruchita; Bhatia, Sahil; Bonnart, Sebastien; Bhatnagar, Ishita; Batul, Beenish; Prasad, Pallavi; Ortega-GonzÃ¡lez, HÃ©ctor; Joseph, Harrish; More, Harshal; Morchedi, Sondes; Kumar Panda, Aman; Zaccaria Di Fraia, Marco; Wischert, Daniel; Stepanova, Daria

Physics-based models, surrogate models and experimental assessment of the vehicleâbridge interaction in braking conditions

2023 - MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Aloisio, Angelo; Contento, Alessandro; Alaggio, Rocco; Quaranta, Giuseppe

Data augmentation driven by optimization for membrane separation process synthesis

2023 - COMPUTERS & CHEMICAL ENGINEERING

Addis, Bernardetta; Castel, Christophe; Macali, Amalia; Misener, Ruth; Piccialli, Veronica

Volcanic Cloud Detection and Retrieval Using Satellite Multisensor Observations

2023 - REMOTE SENSING

Romeo, F; Mereu, L; Scollo, S; Papa, M; Corradini, S; Merucci, L; Marzano, Fs

Surrogate Neural Network Model for Integrated Ascent Trajectory Optimization of Throttleable Hybrid Rockets

2023 - Proceedings of the International Astronautical Congress, IAC

Zolla, Paolo Maria; Zavoli, Alessandro; Migliorino, MARIO TINDARO; Bianchi, Daniele

Modelling local and general quantum mechanical properties with attention-based pooling

2023 - COMMUNICATIONS CHEMISTRY

Buterez, D.; Janet, J. P.; Kiddle, S. J.; Oglic, D.; Lio, P.

MF-PCBA: Multifidelity High-Throughput Screening Benchmarks for Drug Discovery and Machine Learning

2023 - JOURNAL OF CHEMICAL INFORMATION AND MODELING

Buterez, D.; Janet, J. P.; Kiddle, S. J.; Lio, P.

Neural Algorithmic Reasoning for Combinatorial Optimisation

2023 - Proceedings of Machine Learning Research

Georgiev, D.; Numeroso, D.; Bacciu, D.; Lio, P.

Weight Predictor Network with Feature Selection for Small Sample Tabular Biomedical Data

2023 - Proceedings of the 37th AAAI Conference on Artificial Intelligence, AAAI 2023

Margeloiu, A.; Simidjievski, N.; Lio, P.; Jamnik, M.

Interpretable Neural-Symbolic Concept Reasoning

2023 - ICML'23: Proceedings of the 40th International Conference on Machine Learning

Barbiero, P.; Ciravegna, G.; Giannini, F.; Zarlenga, M. E.; Magister, L. C.; Tonda, A.; Lio, P.; Precioso, F.; Jamnik, M.; Marra, G.

Bridging Equational Properties and Patterns on Graphs: an AI-Based Approach

2023 - Proceedings of Machine Learning Research

Keskin, O.; Lupidi, A.; Giannini, F.; Fioravanti, S.; Magister, L. C.; Barbiero, P.; Lio, P.

Distributed LSTM-based cloud resource allocation in Network Function Virtualization Architectures

2022 - COMPUTER NETWORKS

Catena, T.; Eramo, V.; Panella, M.; Rosato, A.

Leveraging Deep Learning models to assess the temporal validity of Emotional Text Mining procedures

2022 - JADT 2022 Proceedings: 16th International Conference on Statistical Analysis of Textual Data

Greco, Francesca; Polli, Alessandro; Siciliano, Federico

AI-Based Reconstruction for Fast MRI-A Systematic Review and Meta-Analysis

2022 - PROCEEDINGS OF THE IEEE

Chen, Y.; Schonlieb, C. -B.; Lio, P.; Leiner, T.; Dragotti, P. L.; Wang, G.; Rueckert, D.; Firmin, D.; Yang, G.

Graph Neural Networks with Adaptive Readouts

2022 - Proceedings of the 36th Conference on Neural Information Processing Systems (NeurIPS 2022)

Buterez, D.; Janet, J. P.; Kiddle, S. J.; Oglic, D.; Lio, P.

Cognitive analytics management of the customer lifetime value: an artificial neural network approach

2021 - JOURNAL OF ENTERPRISE INFORMATION MANAGEMENT

De Marco, M.; Fantozzi, P.; Fornaro, C.; Laura, L.; Miloso, A.

Large eddy simulation with flamelet progress variable approach via neural network acceleration

2021 - AIAA Scitech 2021 Forum

Angelilli, L.; Ciottoli, P. P.; Malpica Galassi, R.; Perez, F. E. H.; Soldan, M.; Lu, Z.; Valorani, M.; Im, Hong Geun