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Filippo Simini
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2020 – today
- 2024
- [c6]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. CCGrid 2024: 478-488 - 2023
- [c5]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: 648-661 - [i10]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 abs/2306.09457 (2023) - [i9]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 abs/2306.12900 (2023) - 2022
- [j5]Luca Pappalardo
scikit-mobility: A Python Library for the Analysis, Generation, and Risk Assessment of Mobility Data. J. Stat. Softw. 103(4) (2022) - [j4]Roberto Pellungrini
Modeling Adversarial Behavior Against Mobility Data Privacy. IEEE Trans. Intell. Transp. Syst. 23(2): 1145-1158 (2022) - [c4]Shilpika, Bethany Lusch
Toward an In-Depth Analysis of Multifidelity High Performance Computing Systems. CCGRID 2022: 716-725 - [i8]Ryien Hosseini, Filippo Simini
Operation-Level Performance Benchmarking of Graph Neural Networks for Scientific Applications. CoRR abs/2207.09955 (2022) - [i7]Ryien Hosseini, Filippo Simini
Deep Surrogate Docking: Accelerating Automated Drug Discovery with Graph Neural Networks. CoRR abs/2211.02720 (2022) - 2020
- [i6]Filippo Simini, Gianni Barlacchi, Massimiliano Luca
Deep Gravity: enhancing mobility flows generation with deep neural networks and geographic information. CoRR abs/2012.00489 (2020)
2010 – 2019
- 2019
- [j3]Filippo Simini
Testing Heaps' law for cities using administrative and gridded population data sets. EPJ Data Sci. 8(1): 24:1-24:13 (2019) - [c3]Luca Pappalardo
Human Mobility from theory to practice: Data, Models and Applications. WWW (Companion Volume) 2019: 1311-1312 - [i5]Robert Eyre, Flavia De Luca, Filippo Simini:
Social media usage reveals how regions recover after natural disaster. CoRR abs/1908.07384 (2019) - 2018
- [j2]Luca Pappalardo
Data-driven generation of spatio-temporal routines in human mobility. Data Min. Knowl. Discov. 32(3): 787-829 (2018) - [c2]Keren Berelson, Filippo Simini
Sensor-Based Smart Hot-Desking for Improvement of Office Well-Being. DTUC 2018: 10:1-10:9 - [i4]Charlotte James, Luca Pappalardo, Alina Sîrbu, Filippo Simini:
Prediction of next career moves from scientific profiles. CoRR abs/1802.04830 (2018) - 2016
- [c1]Luca Pappalardo
Human Mobility Modelling: Exploration and Preferential Return Meet the Gravity Model. ANT/SEIT 2016: 934-939 - [i3]Filippo Simini:
Nanoscale artificial intelligence: creating artificial neural networks using autocatalytic reactions. CoRR abs/1602.09070 (2016) - [i2]Luca Pappalardo, Filippo Simini:
Modelling individual routines and spatio-temporal trajectories in human mobility. CoRR abs/1607.05952 (2016) - 2015
- [e1]Giuseppe Mangioni, Filippo Simini, Stephen Miles Uzzo, Dashun Wang:
Complex Networks VI - Proceedings of the 6th Workshop on Complex Networks CompleNet 2015, New York City, USA, March 25-27, 2015. Studies in Computational Intelligence 597, Springer 2015, ISBN 978-3-319-16111-2 [contents] - [i1]Bharat Kunwar, Filippo Simini, Anders Johansson:
Evacuation time estimate for a total pedestrian evacuation using queuing network model and volunteered geographic information. CoRR abs/1512.03087 (2015) - 2013
- [j1]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): e2 (2013)
Coauthor Index
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