3 citations · 3 across the 3 of their papers we have counts for
6 papers
Unsupervised Abnormal Traffic Detection through Topological Flow Analysis
Paul Irofti, Andrei Pătraşcu, Andrei Iulian Hîji
Cyberthreats are a permanent concern in our modern technological world. In the recent years, sophisticated traffic analysis techniques and anomaly detection (AD) algorithms have be…
Dictionary Learning with Uniform Sparse Representations for Anomaly Detection
Paul Irofti, Cristian Rusu, Andrei Pătraşcu
Many applications like audio and image processing show that sparse representations are a powerful and efficient signal modeling technique. Finding an optimal dictionary that genera…
Data-driven Leak Localization in Water Distribution Networks via Dictionary Learning and Graph-based Interpolation
Paul Irofti, Luis Romero-Ben, Florin Stoican +1
In this paper, we propose a data-driven leak localization method for water distribution networks (WDNs) which combines two complementary approaches: graph-based interpolation and d…
Stochastic Proximal Gradient Algorithm with Minibatches. Application to Large Scale Learning Models
Andrei Patrascu, Ciprian Paduraru, Paul Irofti
Stochastic optimization lies at the core of most statistical learning models. The recent great development of stochastic algorithmic tools focused significantly onto proximal gradi…
Fault Handling in Large Water Networks with Online Dictionary Learning
Paul Irofti, Florin Stoican, Vicenç Puig
Fault detection and isolation in water distribution networks is an active topic due to its model's mathematical complexity and increased data availability through sensor placement.…
Stochastic proximal splitting algorithm for composite minimization
Andrei Patrascu, Paul Irofti
Supported by the recent contributions in multiple branches, the first-order splitting algorithms became central for structured nonsmooth optimization. In the large-scale or noisy c…