Francisco J. Peña

Orcid: 0009-0005-2726-3542

According to our database1, Francisco J. Peña authored at least 13 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

On csauthors.net:

Bibliography

2024
DeepAqua: Semantic segmentation of wetland water surfaces with SAR imagery using deep neural networks without manually annotated data.
Int. J. Appl. Earth Obs. Geoinformation, February, 2024

2023
Enhanced Efficiency at Maximum Power in a Fock-Darwin Model Quantum Dot Engine.
Entropy, March, 2023

DeepAqua: Self-Supervised Semantic Segmentation of Wetlands from SAR Images using Knowledge Distillation.
CoRR, 2023

2022
Siambert: Siamese Bert-based Code Search.
Proceedings of the Swedish Artificial Intelligence Society Workshop, 2022

2021
COCLUBERT: Clustering Machine Learning Source Code.
Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021

2020
Combining Rating and Review Data by Initializing Latent Factor Models with Topic Models for Top-N Recommendation.
Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

2019
Rich-context: an unsupervised context-driven recommender system based on user reviews.
PhD thesis, 2019

PDMFRec: a decentralised matrix factorisation with tunable user-centric privacy.
Proceedings of the 13th ACM Conference on Recommender Systems, 2019

2018
Quantum Mechanical Engine for the Quantum Rabi Model.
Entropy, 2018

2017
Magnetic Engine for the Single-Particle Landau Problem.
Entropy, 2017

Unsupervised Context-Driven Recommendations Based On User Reviews.
Proceedings of the Eleventh ACM Conference on Recommender Systems, 2017

Recommending from Experience.
Proceedings of the Thirtieth International Florida Artificial Intelligence Research Society Conference, 2017

2016
Magnetically-Driven Quantum Heat Engines: The Quasi-Static Limit of Their Efficiency.
Entropy, 2016


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