Product
Help
Pricing
About
Jobs
Log in
Get started
Author
Add to collection
Daniel Rivas-Barragan
Observed names:
Daniel Rivas,
Daniel Rivas Barragan,
Rivas-Barragan, Daniel
Institutions:
Consejo Superior de Investigaciones Científicas,
Artificial Intelligence Research Institute
Observed institutions:
Consejo Superior de Investigaciones Científicas,
Barcelona Supercomputing Center,
Artificial Intelligence Research Institute,
Universitat Politècnica de Catalunya
ORCID:
0000-0003-0163-7890
Observed ORCID:
0000-0003-0163-7890
OpenAlex ID:
A5073216957
Drug2ways: Reasoning over causal paths in biological networks for drug discovery
2020
·
Daniel Rivas-Barragan
, Sarah Mubeen
, et al.
·
PLoS Computational Biology
·
28
PDF
Ensembles of knowledge graph embedding models improve predictions for drug discovery
2022
·
Daniel Rivas-Barragan
, Daniel Domingo-Fernández
, et al.
·
Briefings in Bioinformatics
·
19
PDF
Causal reasoning over knowledge graphs leveraging drug-perturbed and disease-specific transcriptomic signatures for drug discovery
2022
·
Daniel Domingo-Fernández
, Yojana Gadiya
, et al.
·
PLoS Computational Biology
·
17
Performance characterization of video analytics workloads in heterogeneous edge infrastructures
2021
·
Daniel Rivas
, Francesc Guim
, et al.
·
Concurrency and Computation Practice and Experience
·
8
PDF
Belief Horn merging operators: Characterization results and implementations
2024
·
Pilar Dellunde
, Vicent Costa
, et al.
·
Fuzzy Sets and Systems
·
1
Optimizing edge cloud deployments for video analytics
2022
·
Daniel Rivas Barragan
PDF
Ensembles of knowledge graph embedding models improve predictions for drug discovery
2022
·
Rivas-Barragan, Daniel
, Domingo-Fernández, Daniel
, et al.
·
Zenodo (CERN European Organization for Nuclear Research)
Causal reasoning over knowledge graphs leveraging drug-perturbed and disease-specific transcriptomic signatures for drug discovery
2022
·
Domingo-Fernández, Daniel
, Gadiya, Yojana
, et al.
·
Zenodo (CERN European Organization for Nuclear Research)
Towards Unsupervised Fine-Tuning for Edge Video Analytics.
2021
·
Daniel Rivas-Barragan
, Francesc Guim
, et al.
·
arXiv (Cornell University)
Show more works
View as search
Works count:
9
Citation count:
73
H-index:
4
I10-index:
3
Year
Topic
Type