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Journal Articles
- 2023
[j5]Daniel Rivas-Barragan
, Francesc Guim, Jordà Polo, David Carrera:
Performance characterization of video analytics workloads in heterogeneous edge infrastructures. Concurr. Comput. Pract. Exp. 35(14) (2023)- 2022
- [j4]Daniel Rivas-Barragan, Daniel Domingo-Fernández, Yojana Gadiya, David Healey:
Ensembles of knowledge graph embedding models improve predictions for drug discovery. Briefings Bioinform. 23(6) (2022) - [j3]Daniel Rivas-Barragan, Francesc Guim, Jordà Polo, Pubudu Madhawa Silva, Josep Lluís Berral, David Carrera:
Towards automatic model specialization for edge video analytics. Future Gener. Comput. Syst. 134: 399-413 (2022) - [j2]Daniel Domingo-Fernández, Yojana Gadiya, Abhishek Patel, Sarah Mubeen, Daniel Rivas-Barragan, Chris W. Diana, Biswapriya B. Misra, David Healey, John C. Rokicki, Viswa Teja S. S. Colluru:
Causal reasoning over knowledge graphs leveraging drug-perturbed and disease-specific transcriptomic signatures for drug discovery. PLoS Comput. Biol. 18(2) (2022) - 2020
- [j1]Daniel Rivas-Barragan, Sarah Mubeen, Francesc Guim Bernat, Martin Hofmann-Apitius, Daniel Domingo-Fernández:
Drug2ways: Reasoning over causal paths in biological networks for drug discovery. PLoS Comput. Biol. 16(12) (2020)
Conference and Workshop Papers
- 2021
- [c1]Daniel Rivas-Barragan, Francesc Guim, Jordà Polo, Josep Lluís Berral, David Carrera:
Large-Scale Video Analytics Through Object-Level Consolidation. SmartCity360° 2021: 155-171
Informal and Other Publications
- 2021
- [i2]Daniel Rivas-Barragan, Francesc Guim, Jordà Polo, Josep Lluis Berral, Pubudu Madhawa Silva, David Carrera:
Towards Unsupervised Fine-Tuning for Edge Video Analytics. CoRR abs/2104.06826 (2021) - [i1]Daniel Rivas-Barragan, Francesc Guim, Jordà Polo, David Carrera:
Large-Scale Video Analytics through Object-Level Consolidation. CoRR abs/2111.15451 (2021)
Coauthor Index
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