6 citations · 7 across the 6 of their papers we have counts for
6 papers
Robust Causal Discovery in Real-World Time Series with Power-Laws
Matteo Tusoni, Giuseppe Masi, Andrea Coletta +3
Exploring causal relationships in stochastic time series is a challenging yet crucial task with a vast range of applications, including finance, economics, neuroscience, and climat…
LOB-Based Deep Learning Models for Stock Price Trend Prediction: A Benchmark Study
Matteo Prata, Giuseppe Masi, Leonardo Berti +6
The recent advancements in Deep Learning (DL) research have notably influenced the finance sector. We examine the robustness and generalizability of fifteen state-of-the-art DL mod…
Efficiently Parallelizable Strassen-Based Multiplication of a Matrix by its Transpose
Viviana Arrigoni, Filippo Maggioli, Annalisa Massini +1
The multiplication of a matrix by its transpose, , appears as an intermediate operation in the solution of a wide set of problems. In this paper, we propose a new cache-obli…
Static and Dynamic Failure Localization through Progressive Network Tomography
Viviana Arrigoni, Novella Bartolini, Annalisa Massini +1
We aim at assessing the states of the nodes in a network by means of end-to-end monitoring paths. The contribution of this paper is twofold. First, we consider a static failure sce…
On Fundamental Bounds of Failure Identifiability by Boolean Network Tomography
Novella Bartolini, Ting He, Viviana Arrigoni +2
Boolean network tomography is a powerful tool to infer the state (working/failed) of individual nodes from path-level measurements obtained by egde-nodes. We consider the problem o…
Fast Strassen-based Parallel Multiplication
Viviana Arrigoni, Annalisa Massini
Matrix multiplication appears as intermediate operation during the solution of a wide set of problems. In this paper, we propose a new cache-oblivious algorithm for the $A^…