Tomaso Aste

Orcid: 0000-0002-4219-0215

Affiliations:
  • University College London, Department of Computer Science
  • Australian National University, Canberra, Department of Applied Mathematics


According to our database1, Tomaso Aste authored at least 55 papers between 1997 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Online presence:

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Bibliography

2024
Deep Limit Order Book Forecasting.
CoRR, 2024

Retail Central Bank Digital Currency: Motivations, Opportunities, and Mistakes.
CoRR, 2024

2023
Dynamic portfolio optimization with inverse covariance clustering.
Expert Syst. Appl., 2023

Unraveling the Enigma of Double Descent: An In-depth Analysis through the Lens of Learned Feature Space.
CoRR, 2023

Homological Convolutional Neural Networks.
CoRR, 2023

Topological Feature Selection: A Graph-Based Filter Feature Selection Approach.
CoRR, 2023

Regime-based Implied Stochastic Volatility Model for Crypto Option Pricing.
Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

Homological Neural Networks: A Sparse Architecture for Multivariate Complexity.
Proceedings of the Topological, 2023

Topological Feature Selection.
Proceedings of the Topological, 2023

Topological Portfolio Selection and Optimization.
Proceedings of the 4th ACM International Conference on AI in Finance, 2023

2022
Topological regularization with information filtering networks.
Inf. Sci., 2022

Simplicial Persistence of Financial Markets: Filtering, Generative Processes and Structural Risk.
Entropy, 2022

Heterogeneous Criticality in High Frequency Finance: A Phase Transition in Flash Crashes.
Entropy, 2022

Dependency Structures in Cryptocurrency Market from High to Low Frequency.
Entropy, 2022

Anatomy of a Stablecoin's failure: the Terra-Luna case.
CoRR, 2022

Sparsification and Filtering for Spatial-temporal GNN in Multivariate Time-series.
CoRR, 2022

Network Filtering of Spatial-temporal GNN for Multivariate Time-series Prediction.
Proceedings of the 3rd ACM International Conference on AI in Finance, 2022

2021
Information Theoretic Causality Detection between Financial and Sentiment Data.
Entropy, 2021

Deep Reinforcement Learning for Active High Frequency Trading.
CoRR, 2021

2020
A Case Study of Using Blockchain Technology in Regulatory Technology.
MIS Q. Executive, 2020

The Cost of Bitcoin Mining Has Never Really Increased.
Frontiers Blockchain, 2020

Analysing Social Media Forums to Discover Potential Causes of Phasic Shifts in Cryptocurrency Price Series.
Frontiers Blockchain, 2020

Information Network Modeling for U.S. Banking Systemic Risk.
Entropy, 2020

Deep Learning modeling of Limit Order Book: a comparative perspective.
CoRR, 2020

Wisdom of the crowds in forecasting COVID-19 spreading severity.
CoRR, 2020

2019
A Decentralized Digital Identity Architecture.
Frontiers Blockchain, 2019

Can Cryptocurrencies Preserve Privacy and Comply With Regulations?
Frontiers Blockchain, 2019

Reciprocity and impact in academic careers.
EPJ Data Sci., 2019

Achieving competitive advantage in academia through early career coauthorship with top scientists.
CoRR, 2019

Learning Clique Forests.
CoRR, 2019

A Decentralised Digital Identity Architecture.
CoRR, 2019

Sector Neutral Portfolios: Long Memory Motifs Persistence in Market Structure Dynamics.
Proceedings of the Complex Networks and Their Applications VIII, 2019

2018
Blockchain inefficiency in the Bitcoin peers network.
EPJ Data Sci., 2018

Reciprocity and success in academic careers.
CoRR, 2018

Forecasting market states.
CoRR, 2018

2017
Dynamic correlations at different time-scales with Empirical Mode Decomposition.
CoRR, 2017

Blockchain Technologies: The Foreseeable Impact on Society and Industry.
Computer, 2017

Network Filtering for Big Data: Triangulated Maximally Filtered Graph.
J. Complex Networks, 2017

The Multiplex Dependency Structure of Financial Markets.
Complex., 2017

Sparse Causality Network Retrieval from Short Time Series.
Complex., 2017

2016
A nonlinear impact: evidences of causal effects of social media on market prices.
CoRR, 2016

Reciprocity-induced bias in digital reputation.
CoRR, 2016

Parsimonious modeling with Information Filtering Networks.
CoRR, 2016

2015
Twitter Sentiment Analysis Applied to Finance: A Case Study in the Retail Industry.
CoRR, 2015

Twitter Sentiment Analysis.
CoRR, 2015

In Quest of Significance: Identifying Types of Twitter Sentiment Events that Predict Spikes in Sales.
CoRR, 2015

2014
Measures of Causality in Complex Datasets with Application to Financial Data.
Entropy, 2014

Clustering and hierarchy of financial markets data: advantages of the DBHT.
CoRR, 2014

2013
Graph theory enables drug repurposing. How a mathematical model can drive the discovery of hidden Mechanisms of Action.
CoRR, 2013

2011
Nested hierarchies in planar graphs.
Discret. Appl. Math., 2011

Hierarchical information clustering by means of topologically embedded graphs.
CoRR, 2011

2008
Centrality and Peripherality in Filtered Graphs from Dynamical Financial Correlations.
Adv. Complex Syst., 2008

1998
Random networks in two dimensions. Simulations and correlations.
Proceedings of the Discrete Mathematical Chemistry, 1998

1997
Topological Maps and Models of Shapes.
Int. J. Shape Model., 1997

Topological modelling of disordered cellular structures.
Proceedings of 1997 International Conference on Shape Modeling and Applications, 1997


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