Philip Nadler

According to our database, Philip Nadler authored at least 10 papers between 2019 and 2022.

Collaborative distances:

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

2022

Data Learning: Integrating Data Assimilation and Machine Learning.

Caterina Buizza, César Quilodrán Casas, Philip Nadler, Julian Mack, Stefano Marrone, Zainab Titus, Clémence Le Cornec, Evelyn Heylen, Tolga Hasan Dur, Luis G. Baca Ruíz, Claire E. Heaney, Julio Amador Díaz López, K. S. Sesh Kumar, Rossella Arcucci

J. Comput. Sci., 2022

2021

A Scalable Inference Method For Large Dynamic Economic Systems.

Pratha Khandelwal, Philip Nadler, Rossella Arcucci, William J. Knottenbelt, Yi-Ke Guo

CoRR, 2021

Protecting Retail Investors from Order Book Spoofing using a GRU-based Detection Model.

Jean-Noël Tuccella, Philip Nadler, Ovidiu Serban

CoRR, 2021

Efficient Analysis of Transactional Data Using Graph Convolutional Networks.

Hamish Hall, Pedro Baiz, Philip Nadler

Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2021

2020

An Epidemiological Modelling Approach for Covid19 via Data Assimilation.

Philip Nadler, Shuo Wang, Rossella Arcucci, Xian Yang, Yike Guo

CoRR, 2020

A Bayesian Updating Scheme for Pandemics: Estimating the Infection Dynamics of COVID-19.

Shuo Wang, Xian Yang, Ling Li, Philip Nadler, Rossella Arcucci, Yuan Huang, Zhongzhao Teng, Yike Guo

IEEE Comput. Intell. Mag., 2020

A Neural SIR Model for Global Forecasting.

Philip Nadler, Rossella Arcucci, Yike Guo

Proceedings of the Machine Learning for Health Workshop, 2020

An Econophysical Analysis of the Blockchain Ecosystem.

Philip Nadler, Rossella Arcucci, Yike Guo

Proceedings of the 2nd International Conference on Mathematical Research for Blockchain Economy, 2020

2019

Data Assimilation for Parameter Estimation in Economic Modelling.

Philip Nadler, Rossella Arcucci, Yi-Ke Guo

Proceedings of the 15th International Conference on Signal-Image Technology & Internet-Based Systems, 2019

A Scalable Approach to Econometric Inference.

Philip Nadler, Rossella Arcucci, Yi-Ke Guo

Proceedings of the Parallel Computing: Technology Trends, 2019