Filippo Simini

Publication Activity (10 Years)

Years Active: 2013-2023
Publications (10 Years): 19

Top Topics

High Performance Computing

Top Venues

Publications

Shilpika, Bethany Lusch, Murali Emani, Filippo Simini, Venkatram Vishwanath, Michael E. Papka, Kwan-Liu Ma
A Multi-Level, Multi-Scale Visual Analytics Approach to Assessment of Multifidelity HPC Systems. CoRR (2023)
Riccardo Balin, Filippo Simini, Cooper Simpson, Andrew Shao, Alessandro Rigazzi, Matthew Ellis, Stephen Becker, Alireza Doostan, John A. Evans, Kenneth E. Jansen
In Situ Framework for Coupling Simulation and Machine Learning with Application to CFD. CoRR (2023)
Ryien Hosseini, Filippo Simini, Venkatram Vishwanath, Ramakrishnan Sivakumar, Sanjif Shanmugavelu, Zhengyu Chen, Lev Zlotnik, Mingran Wang, Philip Colangelo, Andrew Deng, Philip Lassen, Shukur Pathan
Exploring the Use of Dataflow Architectures for Graph Neural Network Workloads. ISC Workshops (2023)
Roberto Pellungrini, Luca Pappalardo, Filippo Simini, Anna Monreale
Modeling Adversarial Behavior Against Mobility Data Privacy. IEEE Trans. Intell. Transp. Syst. 23 (2) (2022)
Ryien Hosseini, Filippo Simini, Venkatram Vishwanath
Operation-Level Performance Benchmarking of Graph Neural Networks for Scientific Applications. CoRR (2022)
Ryien Hosseini, Filippo Simini, Austin Clyde, Arvind Ramanathan
Deep Surrogate Docking: Accelerating Automated Drug Discovery with Graph Neural Networks. CoRR (2022)
Shilpika, Bethany Lusch, Murali Emani, Filippo Simini, Venkatram Vishwanath, Michael E. Papka, Kwan-Liu Ma
Toward an In-Depth Analysis of Multifidelity High Performance Computing Systems. CCGRID (2022)
Luca Pappalardo, Filippo Simini, Gianni Barlacchi, Roberto Pellungrini
Library for the Analysis, Generation, and Risk Assessment of Mobility Data. J. Stat. Softw. 103 (4) (2022)
Filippo Simini, Gianni Barlacchi, Massimiliano Luca, Luca Pappalardo
Deep Gravity: enhancing mobility flows generation with deep neural networks and geographic information. CoRR (2020)
Robert Eyre, Flavia De Luca, Filippo Simini
Social media usage reveals how regions recover after natural disaster. CoRR (2019)
Filippo Simini, Charlotte James
Testing Heaps' law for cities using administrative and gridded population data sets. EPJ Data Sci. 8 (1) (2019)
Luca Pappalardo, Gianni Barlacchi, Roberto Pellungrini, Filippo Simini
Human Mobility from theory to practice: Data, Models and Applications. WWW (Companion Volume) (2019)
Luca Pappalardo, Filippo Simini
Data-driven generation of spatio-temporal routines in human mobility. Data Min. Knowl. Discov. 32 (3) (2018)
Keren Berelson, Filippo Simini, Theo Tryfonas, Peter Cooper
Sensor-Based Smart Hot-Desking for Improvement of Office Well-Being. DTUC (2018)
Charlotte James, Luca Pappalardo, Alina Sîrbu, Filippo Simini
Prediction of next career moves from scientific profiles. CoRR (2018)
Luca Pappalardo, Salvatore Rinzivillo, Filippo Simini
Human Mobility Modelling: Exploration and Preferential Return Meet the Gravity Model. ANT/SEIT (2016)
Filippo Simini
Nanoscale artificial intelligence: creating artificial neural networks using autocatalytic reactions. CoRR (2016)
Luca Pappalardo, Filippo Simini
Modelling individual routines and spatio-temporal trajectories in human mobility. CoRR (2016)
Bharat Kunwar, Filippo Simini, Anders Johansson
Evacuation time estimate for a total pedestrian evacuation using queuing network model and volunteered geographic information. CoRR (2015)
Matteo Convertino, Filippo Simini, Filippo Catani, Igor Linkov, Gregory A. Kiker
Power-law of Aggregate-size Spectra in Natural Systems. EAI Endorsed Trans. Complex Syst. 1 (2) (2013)