607 citations · 1.8k across the 12 of their papers we have counts for
12 papers
Medical Coding with Biomedical Transformer Ensembles and Zero/Few-shot Learning
Angelo Ziletti, Alan Akbik, Christoph Berns +3
Medical coding (MC) is an essential pre-requisite for reliable data retrieval and reporting. Given a free-text reported term (RT) such as "pain of right thigh to the knee", the tas…
Biomedical Data-to-Text Generation via Fine-Tuning Transformers
Ruslan Yermakov, Nicholas Drago, Angelo Ziletti
Data-to-text (D2T) generation in the biomedical domain is a promising - yet mostly unexplored - field of research. Here, we apply neural models for D2T generation to a real-world d…
Robust recognition and exploratory analysis of crystal structures via Bayesian deep learning
Andreas Leitherer, Angelo Ziletti, Luca M. Ghiringhelli
Due to their ability to recognize complex patterns, neural networks can drive a paradigm shift in the analysis of materials science data. Here, we introduce ARISE, a crystal-struct…
Discovering key topics from short, real-world medical inquiries via natural language processing and unsupervised learning
Angelo Ziletti, Christoph Berns, Oliver Treichel +8
Millions of unsolicited medical inquiries are received by pharmaceutical companies every year. It has been hypothesized that these inquiries represent a treasure trove of informati…
NOMAD 2018 Kaggle Competition: Solving Materials Science Challenges Through Crowd Sourcing
Christopher Sutton, Luca M. Ghiringhelli, Takenori Yamamoto +7
Machine learning (ML) is increasingly used in the field of materials science, where statistical estimates of computed properties are employed to rapidly examine the chemical space…
Insightful classification of crystal structures using deep learning
A. Ziletti, D. Kumar, M. Scheffler +1
Computational methods that automatically extract knowledge from data are critical for enabling data-driven materials science. A reliable identification of lattice symmetry is a cru…
Van Hove singularity and ferromagnetic instability in phosphorene
A. Ziletti, S. M. Huang, D. F. Coker +1
Using Wannier function-based interpolation techniques, we present compelling numerical evidence for the presence of a saddle-point van Hove singularity at the point near the ph…
Accessing the transport properties of pristine few-layer black phosphorus by van der Waals passivation in inert atmosphere
Rostislav A. Doganov, Eoin C. T. O'Farrell, Steven P. Koenig +9
Ultrathin black phosphorus, or phosphorene, is the second known elementary two-dimensional material that can be exfoliated from a bulk van der Waals crystal. Unlike graphene it is…
Phosphorene oxides: bandgap engineering of phosphorene by oxidation
A. Ziletti, A. Carvalho, P. E. Trevisanutto +3
We show that oxidation of phosphorene can lead to the formation of a new family of planar (2D) and tubular (1D) oxides and sub-oxides, most of them insulating. This confers to blac…
Oxygen defects in phosphorene
A. Ziletti, A. Carvalho, D. K. Campbell +2
Oxygen, invariably present in a normal working environment, is a fundamental cause of the degradation of phosphorene. Using first-principles calculations, we show that for each oxy…
Coherent quantum transport in a star graph
Angelo Ziletti
A multi-branch quantum circuit is considered from the viewpoint of coherent electron or wave transport. Starting with the closed system, we give analytical conditions for the appea…
Coherent transport in multi-branch circuits
A. Ziletti, F. Borgonovi, G. L. Celardo +3
A multi-branch quantum circuit is considered from the viewpoint of coherent electron or wave transport. Starting with the closed system, we give analytical conditions for the appea…