Pubblicazioni scientifiche
Successful treatment of life-threatening mycobacteriosis using adjunctive gamma-interferon therapy with genetic analysis.
Abstract No abstract Autori Confalonieri P, Maiocchi S, Salton F, Ruaro B, Rizzardi C, Volpe…
Synthesis, characterization, functional testing and ageing analysis of bifunctional Zn-air battery GDEs, based on α-MnO2…
Abstract Electrically rechargeable alkaline zinc air batteries (RZAB) – currently still at the R&D stage…
The geometry of hidden representations of large transformer models
Abstract Large transformers are powerful architectures used for self-supervised data analysis across various data types,…
Unveiling the Electronic Structure of Pseudotetragonal WO3 Thin Films
Abstract WO3 is a 5d compound that undergoes several structural transitions in its bulk form. Its…
The Interaction of Amines with Gold Nanoparticles
Abstract Here, we present an integrated ultra-high-vacuum (UHV) apparatus for the growth of complex materials…
Evidence of silicide at the Ni/ β-Si3N4(0001)/Si(111) interface
Abstract We present a study of a sub-nanometre interlayer of crystalline silicon nitride at the Ni/Si interface.…
Nd:YAG infrared laser as a viable alternative to excimer laser: YBCO case study
Abstract We report on the growth and characterization of epitaxial YBa2Cu3O7−δ (YBCO) complex oxide thin films…
Dual pulsed laser deposition system for the growth of complex materials and heterostructures
Abstract Here, we present an integrated ultra-high-vacuum (UHV) apparatus for the growth of complex materials…
Speeding‐up pruning for Artificial Neural Networks: Introducing Accelerated Iterative Magnitude Pruning
Abstract: In recent years, Artificial Neural Networks (ANNs) pruning has become the focal point of…
Investigating Similarity Metrics for Convolutional Neural Networks in the Case of Unstructured Pruning
Abstract: Deep Neural Networks (DNNs) are essential tools of modern science and technology. The current…
Hierarchical nucleation in deep neural networks
Abstract Deep convolutional networks (DCNs) learn meaningful representations where data that share the same abstract…