Francisco J. Peña

According to our database, Francisco J. Peña authored at least 9 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

DeepAqua: Semantic segmentation of wetland water surfaces with SAR imagery using deep neural networks without manually annotated data.

Francisco J. Peña, Clara Hübinger, Amir Hossein Payberah, Fernando Jaramillo

Int. J. Appl. Earth Obs. Geoinformation, February, 2024

2023

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

Francisco J. Peña, Clara Hübinger, Amir Hossein Payberah, Fernando Jaramillo

CoRR, 2023

2022

Siambert: Siamese Bert-based Code Search.

Francisco J. Peña, Angel Luis Gonzalez, Sepideh Pashami, Ahmad Al-Shishtawy, Amir Hossein Payberah

Proceedings of the Swedish Artificial Intelligence Society Workshop, 2022

2021

COCLUBERT: Clustering Machine Learning Source Code.

Marcus Hägglund, Francisco J. Peña, Sepideh Pashami, Ahmad Al-Shishtawy, Amir Hossein Payberah

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.

Francisco J. Peña, Diarmuid O'Reilly-Morgan, Elias Z. Tragos, Neil Hurley, Erika Duriakova, Barry Smyth, Aonghus Lawlor

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.

Francisco J. Peña

PhD thesis, 2019

PDMFRec: a decentralised matrix factorisation with tunable user-centric privacy.

Erika Duriakova, Elias Z. Tragos, Barry Smyth, Neil Hurley, Francisco J. Peña, Panagiotis Symeonidis, James Geraci, Aonghus Lawlor

Proceedings of the 13th ACM Conference on Recommender Systems, 2019

2017

Unsupervised Context-Driven Recommendations Based On User Reviews.

Francisco J. Peña

Proceedings of the Eleventh ACM Conference on Recommender Systems, 2017

Recommending from Experience.

Francisco J. Peña, Derek Bridge

Proceedings of the Thirtieth International Florida Artificial Intelligence Research Society Conference, 2017