Alexandra-Ioana Albu

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

Collaborative distances:

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

2023

<i>MM-StackEns</i>: A new deep multimodal stacked generalization approach for protein-protein interaction prediction.

Alexandra-Ioana Albu, Maria-Iuliana Bocicor, Gabriela Czibula

Comput. Biol. Medicine, February, 2023

Improving radar echo extrapolation models using autoencoder-based perceptual losses.

Alexandra-Ioana Albu

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.

Alexandra-Ioana Albu

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.

Alexandra-Ioana Albu, Gabriela Czibula, Andrei Mihai, István Gergely Czibula, Sorin Burcea, Abdelkader Mezghani

Remote. Sens., 2022

An Approach for Predicting Protein-Protein Interactions using Supervised Autoencoders.

Alexandra-Ioana Albu

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.

Gabriela Czibula, Alexandra-Ioana Albu, Maria-Iuliana Bocicor, Camelia Chira

Entropy, 2021

Towards learning transferable embeddings for protein conformations using Variational Autoencoders.

Alexandra-Ioana Albu

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.

Alexandra-Ioana Albu, Alina Enescu, Luigi Malagò

CoRR, 2020

Analysing protein dynamics using machine learning based generative models.

Alexandra-Ioana Albu, Gabriela Czibula

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.

Alexandra-Ioana Albu, Alina Enescu, Luigi Malagò

Proceedings of the 2020 Northern Lights Deep Learning Workshop, 2020