Zobrazeno 1 - 10
of 37
pro vyhledávání: '"Adriano Barbosa Silva"'
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-11 (2022)
Recent studies raised concerns over the state of AI benchmarking, reporting issues such as benchmark overfitting, benchmark saturation and increasing centralization of benchmark dataset creation. To facilitate monitoring of the health of the AI bench
Externí odkaz:
https://doaj.org/article/357a20a54edd4dfabde61f00141c7e58
Publikováno v:
Scientific Data, Vol 9, Iss 1, Pp 1-10 (2022)
Measurement(s) Artificial Intelligence • Benchmark Technology Type(s) digital curation Sample Characteristic - Location Globally
Externí odkaz:
https://doaj.org/article/d31f1755cd224f0d907d82918e696571
Autor:
Bruna Piereck, Marx Oliveira-Lima, Ana Maria Benko-Iseppon, Sarah Diehl, Reinhard Schneider, Ana Christina Brasileiro-Vidal, Adriano Barbosa-Silva
Publikováno v:
BMC Bioinformatics, Vol 21, Iss 1, Pp 1-20 (2020)
Abstract Background The amount of published full-text articles has increased dramatically. Text mining tools configure an essential approach to building biological networks, updating databases and providing annotation for new pathways. PESCADOR is an
Externí odkaz:
https://doaj.org/article/cec7043616f54de0a82157968fc6dffb
Autor:
Wei Gu, Reha Yildirimman, Emmanuel Van der Stuyft, Denny Verbeeck, Sascha Herzinger, Venkata Satagopam, Adriano Barbosa-Silva, Reinhard Schneider, Bodo Lange, Hans Lehrach, Yike Guo, David Henderson, Anthony Rowe, on behalf of the IMI OncoTrack and the IMI eTRIKS consortia
Publikováno v:
BMC Bioinformatics, Vol 20, Iss 1, Pp 1-11 (2019)
Abstract Background For large international research consortia, such as those funded by the European Union’s Horizon 2020 programme or the Innovative Medicines Initiative, good data coordination practices and tools are essential for the successful
Externí odkaz:
https://doaj.org/article/66977e6add9344b7a84722ce98371655
Autor:
Jaqueline Junko Tenguam, Leonardo Henrique Da Costa Longo, Adriano Barbosa Silva, Paulo Rogerio De Faria, Marcelo Zanchetta Do Nascimento, Leandro Alves Neves
Publikováno v:
2022 29th International Conference on Systems, Signals and Image Processing (IWSSIP).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2834ff5ff4278da099bb8d85a4e8b3e4
https://doi.org/10.1109/iwssip55020.2022.9854418
https://doi.org/10.1109/iwssip55020.2022.9854418
Autor:
Adriano Barbosa-Silva, Milena Magalhães, Gilberto Ferreira Da Silva, Fabricio Alves Barbosa Da Silva, Flávia Raquel Gonçalves Carneiro, Nicolas Carels
Publikováno v:
Cancers; Volume 14; Issue 9; Pages: 2325
The main hallmarks of cancer include sustaining proliferative signaling and resisting cell death. We analyzed the genes of the WNT pathway and seven cross-linked pathways that may explain the differences in aggressiveness among cancer types. We divid
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::48f6e73227d4947fe59ffa751940e476
Publikováno v:
Bioinformatics (Oxford, England).
SummaryMachine learning algorithms for link prediction can be valuable tools for hypothesis generation. However, many current algorithms are black boxes or lack good user interfaces that could facilitate insight into why predictions are made. We pres
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::926501d06dcb4e26be0d6d37a356dbc8
https://pubmed.ncbi.nlm.nih.gov/35139158
https://pubmed.ncbi.nlm.nih.gov/35139158
Autor:
Guilherme Botazzo Rozendo, Marcelo Zanchetta do Nascimento, Guilherme Freire Roberto, Paulo Rogério de Faria, Adriano Barbosa Silva, Thaína Aparecida Azevedo Tosta, Leandro Alves Neves
Publikováno v:
Expert Systems with Applications. 202:117238
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7f813eace36e4fa8a074773a3ecd49ef
https://doi.org/10.1016/j.eswa.2022.117238
https://doi.org/10.1016/j.eswa.2022.117238
Autor:
Guilherme Botazzo Rozendo, Marcelo Zanchetta do Nascimento, Guilherme Freire Roberto, Paulo Rogério de Faria, Adriano Barbosa Silva, Thaína Aparecida Azevedo Tosta, Leandro Alves Neves
Publikováno v:
Software Impacts. 13:100329
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6f8479b55bc68b9882d39d9fe589f30a
https://doi.org/10.1016/j.simpa.2022.100329
https://doi.org/10.1016/j.simpa.2022.100329
Research in artificial intelligence (AI) is addressing a growing number of tasks through a rapidly growing number of models and methodologies. This makes it difficult to keep track of where novel AI methods are successfully – or still unsuccessfull
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9895bf01fd61c6663531a7c4fa76c898
