Drug2ways: Reasoning over causal paths in biological networks for drug discovery. - Daniel Rivas-Barragan; Sarah Mubeen; Francesc Guim Bernat; Martin Hofmann-Apitius; Daniel Domingo-Fernández (PLoS Comput. Biol., 2020)

Large-Scale Video Analytics Through Object-Level Consolidation. - Daniel Rivas-Barragan; Francesc Guim 001; Jordà Polo; Josep Lluís Berral; David Carrera 001 (SmartCity360°, 2021)

Towards Unsupervised Fine-Tuning for Edge Video Analytics. - Daniel Rivas-Barragan; Francesc Guim 001; Jordà Polo; Josep Lluis Berral; Pubudu Madhawa Silva; David Carrera 001 (CoRR, 2021)

Large-Scale Video Analytics through Object-Level Consolidation. - Daniel Rivas-Barragan; Francesc Guim 001; Jordà Polo; David Carrera 001 (CoRR, 2021)

Ensembles of knowledge graph embedding models improve predictions for drug discovery. - Daniel Rivas-Barragan; Daniel Domingo-Fernández; Yojana Gadiya; David Healey (Briefings Bioinform., 2022)

Towards automatic model specialization for edge video analytics. - Daniel Rivas-Barragan; Francesc Guim 001; Jordà Polo; Pubudu Madhawa Silva; Josep Lluís Berral; David Carrera 001 (Future Gener. Comput. Syst., 2022)

Causal reasoning over knowledge graphs leveraging drug-perturbed and disease-specific transcriptomic signatures for drug discovery. - 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 (PLoS Comput. Biol., 2022)

Performance characterization of video analytics workloads in heterogeneous edge infrastructures. - Daniel Rivas-Barragan; Francesc Guim 001; Jordà Polo; David Carrera 001 (Concurr. Comput. Pract. Exp., 2023)