Alexandra-Ioana Albu

According to our database1, Alexandra-Ioana Albu authored at least 10 papers between 2020 and 2023.

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

Timeline

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Links

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Bibliography

2023
<i>MM-StackEns</i>: A new deep multimodal stacked generalization approach for protein-protein interaction prediction.
Comput. Biol. Medicine, February, 2023

Improving radar echo extrapolation models using autoencoder-based perceptual losses.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 27th International Conference KES-2023, 2023

Temporal Ensembling-based Deep k-Nearest Neighbours for Learning with Noisy Labels.
Proceedings of the 31st European Symposium on Artificial Neural Networks, 2023

2022
NeXtNow: A Convolutional Deep Learning Model for the Prediction of Weather Radar Data for Nowcasting Purposes.
Remote. Sens., 2022

An Approach for Predicting Protein-Protein Interactions using Supervised Autoencoders.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 26th International Conference KES-2022, 2022

2021
AutoPPI: An Ensemble of Deep Autoencoders for Protein-Protein Interaction Prediction.
Entropy, 2021

Towards learning transferable embeddings for protein conformations using Variational Autoencoders.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 25th International Conference KES-2021, 2021

2020
Improved Slice-wise Tumour Detection in Brain MRIs by Computing Dissimilarities between Latent Representations.
CoRR, 2020

Analysing protein dynamics using machine learning based generative models.
Proceedings of the 14th IEEE International Symposium on Applied Computational Intelligence and Informatics, 2020

Tumor Detection in Brain MRIs by Computing Dissimilarities in the Latent Space of a Variational AutoEncoder.
Proceedings of the 2020 Northern Lights Deep Learning Workshop, 2020


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