Update README.md

README.md

@@ -9,6 +9,7 @@ tags:
 - CelebA
 - Roberta-base-bne
 - celebFaces Attributes
+pipeline_tag: text-to-image
 ---
 # RoBERTa base BNE trained with data from the descriptive text corpus of the CelebA dataset
 
@@ -36,7 +37,21 @@ and following the strategy of using a Siamese network together with the loss fun
 This model is available under the [Apache License 2.0.](https://www.apache.org/licenses/LICENSE-2.0)
 
 ## Citation information
-If you used the model Roberta_CelebA_Sp in your work, please cite [this respository](https://huggingface.co/oeg/RoBERTa-CelebA-Sp/):
+
+**Citing**: If you used RoBERTa+CelebA model in your work, please cite the **[????](???)**:
+
+```bib
+@article{inffus_TINTO,
+    title = {A novel deep learning approach using blurring image techniques for Bluetooth-based indoor localisation},
+    journal = {Information Fusion},
+    author = {Reewos Talla-Chumpitaz and Manuel Castillo-Cara and Luis Orozco-Barbosa and Raúl García-Castro},
+    volume = {91},
+    pages = {173-186},
+    year = {2023},
+    issn = {1566-2535},
+    doi = {https://doi.org/10.1016/j.inffus.2022.10.011}
+}
+```
 
 ## Autors
 - [Eduardo Yauri Lozano](https://github.com/eduar03yauri)
@@ -51,4 +66,4 @@ See the full list of contributors [here](https://github.com/eduar03yauri/DCGAN-t
 
 <kbd><img src="https://raw.githubusercontent.com/oeg-upm/TINTO/main/assets/logo-oeg.png" alt="Ontology Engineering Group" width="100"></kbd> 
 <kbd><img src="https://raw.githubusercontent.com/oeg-upm/TINTO/main/assets/logo-upm.png" alt="Universidad Politécnica de Madrid" width="100"></kbd>
-<kbd><img src="https://www.uni.edu.pe/images/logos/logo_uni_2016.png" alt="Universidad Politécnica de Madrid" width="200"></kbd>
+<kbd><img src="https://www.uni.edu.pe/images/logos/logo_uni_2016.png" alt="Universidad Politécnica de Madrid" width="200"></kbd>