EDBT 2026 Demo / reviewers in the wild / expert
Anna Gonzàlez-Rosell
dblp:326/4568
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2022
0000-0001-6899-8901ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1 · 1 since 2021Databases, data management, data science and information retrieval · 1 · 1 since 2021
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Artificial intelligence
1 paper |
Generative modeling · 100% | |
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Bioinformatics and computational biology · 100% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Machine learning › Generative modeling
variational autoencoder |
0.6 | 1 | 2022 | DNA-Stabilized Silver Nanocluster Design via Regularized Variational Autoencoders · KDD 2022 |
Bioinformatics and computational biology
DNA nanotechnology |
0.6 | 1 | 2022 | DNA-Stabilized Silver Nanocluster Design via Regularized Variational Autoencoders · KDD 2022 |
Methods — techniques the papers use, named apart from their topics
variational autoencoder · 1.1regularization · 1.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2022 | DNA-Stabilized Silver Nanocluster Design via Regularized Variational AutoencodersabstractDNA-stabilized silver nanoclusters (AgN-DNAs) are a class of nanomaterials comprised of 10-30 silver atoms held together by short synthetic DNA template strands. AgN-DNAs are promising biosensors and fluorophores due to their small sizes, natural compatibility with DNA, and bright fluorescence---the property of absorbing light and re-emitting light of a different color. The sequence of the DNA template acts as a "genome" for AgN-DNAs, tuning the size of the encapsulated silver nanocluster, and thus its fluorescence color. However, current understanding of the AgN-DNA genome is still limited. Only a minority of DNA sequences produce highly fluorescent AgN-DNAs, and the bulky DNA strands and complex DNA-silver interactions make it challenging to use first principles chemical calculations to understand and design AgN-DNAs. Thus, a major challenge for researchers studying these nanomaterials is to develop methods to employ observational data about studied AgN-DNAs to design new nanoclusters for targeted applications. Fariha Moomtaheen, Matthew Killeen, James T. Oswald, Anna Gonzàlez-Rosell, Peter Mastracco, Alexander Gorovits, Stacy M. Copp, Petko Bogdanov |
KDD | 4 |