Filippo Simini

According to our database, Filippo Simini authored at least 20 papers between 2013 and 2024.

Collaborative distances:

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

2024

A Multi-Level, Multi-Scale Visual Analytics Approach to Assessment of Multifidelity HPC Systems.

Shilpika, Bethany Lusch, Murali Emani, Filippo Simini, Venkatram Vishwanath, Michael E. Papka, Kwan-Liu Ma

Proceedings of the 24th IEEE International Symposium on Cluster, 2024

2023

In Situ Framework for Coupling Simulation and Machine Learning with Application to CFD.

Riccardo Balin, Filippo Simini, Cooper Simpson, Andrew Shao, Alessandro Rigazzi, Matthew Ellis, Stephen Becker, Alireza Doostan, John A. Evans, Kenneth E. Jansen

CoRR, 2023

Exploring the Use of Dataflow Architectures for Graph Neural Network Workloads.

Ryien Hosseini, Filippo Simini, Venkatram Vishwanath, Ramakrishnan Sivakumar, Sanjif Shanmugavelu, Zhengyu Chen, Lev Zlotnik, Mingran Wang, Philip Colangelo, Andrew Deng, Philip Lassen, Shukur Pathan

Proceedings of the High Performance Computing, 2023

2022

Modeling Adversarial Behavior Against Mobility Data Privacy.

Roberto Pellungrini, Luca Pappalardo, Filippo Simini, Anna Monreale

IEEE Trans. Intell. Transp. Syst., 2022

scikit-mobility: A <i>Python</i> Library for the Analysis, Generation, and Risk Assessment of Mobility Data.

Luca Pappalardo, Filippo Simini, Gianni Barlacchi, Roberto Pellungrini

J. Stat. Softw., 2022

Deep Surrogate Docking: Accelerating Automated Drug Discovery with Graph Neural Networks.

Ryien Hosseini, Filippo Simini, Austin Clyde, Arvind Ramanathan

CoRR, 2022

Operation-Level Performance Benchmarking of Graph Neural Networks for Scientific Applications.

Ryien Hosseini, Filippo Simini, Venkatram Vishwanath

CoRR, 2022

Toward an In-Depth Analysis of Multifidelity High Performance Computing Systems.

Shilpika, Bethany Lusch, Murali Emani, Filippo Simini, Venkatram Vishwanath, Michael E. Papka, Kwan-Liu Ma

Proceedings of the 22nd IEEE International Symposium on Cluster, 2022

2020

Deep Gravity: enhancing mobility flows generation with deep neural networks and geographic information.

Filippo Simini, Gianni Barlacchi, Massimiliano Luca, Luca Pappalardo

CoRR, 2020

2019

Testing Heaps' law for cities using administrative and gridded population data sets.

Filippo Simini, Charlotte James

EPJ Data Sci., 2019

Social media usage reveals how regions recover after natural disaster.

Robert Eyre, Flavia De Luca, Filippo Simini

CoRR, 2019

Human Mobility from theory to practice: Data, Models and Applications.

Luca Pappalardo, Gianni Barlacchi, Roberto Pellungrini, Filippo Simini

Proceedings of the Companion of The 2019 World Wide Web Conference, 2019

2018

Data-driven generation of spatio-temporal routines in human mobility.

Luca Pappalardo, Filippo Simini

Data Min. Knowl. Discov., 2018

Prediction of next career moves from scientific profiles.

Charlotte James, Luca Pappalardo, Alina Sîrbu, Filippo Simini

CoRR, 2018

Sensor-Based Smart Hot-Desking for Improvement of Office Well-Being.

Keren Berelson, Filippo Simini, Theo Tryfonas, Peter Cooper

Proceedings of the 1st International Conference on Digital Tools & Uses Congress, 2018

2016

Nanoscale artificial intelligence: creating artificial neural networks using autocatalytic reactions.

Filippo Simini

CoRR, 2016

Modelling individual routines and spatio-temporal trajectories in human mobility.

Luca Pappalardo, Filippo Simini

CoRR, 2016

Human Mobility Modelling: Exploration and Preferential Return Meet the Gravity Model.

Luca Pappalardo, Salvatore Rinzivillo, Filippo Simini

Proceedings of the 7th International Conference on Ambient Systems, 2016

2015

Evacuation time estimate for a total pedestrian evacuation using queuing network model and volunteered geographic information.

Bharat Kunwar, Filippo Simini, Anders Johansson

CoRR, 2015

2013

Power-law of Aggregate-size Spectra in Natural Systems.

Matteo Convertino, Filippo Simini, Filippo Catani, Igor Linkov, Gregory A. Kiker

EAI Endorsed Trans. Complex Syst., 2013