Alexandra-Ioana Albu

Publication Activity (10 Years)

Years Active: 2020-2023
Publications (10 Years): 10

Top Topics

Protein Interaction

Tumor Detection

Machine Learning

Top Venues

Publications

Alexandra-Ioana Albu
Improving radar echo extrapolation models using autoencoder-based perceptual losses. KES (2023)
Alexandra-Ioana Albu
Temporal Ensembling-based Deep k-Nearest Neighbours for Learning with Noisy Labels. ESANN (2023)
Alexandra-Ioana Albu, Maria-Iuliana Bocicor, Gabriela Czibula
: A new deep multimodal stacked generalization approach for protein-protein interaction prediction. Comput. Biol. Medicine 153 (2023)
Alexandra-Ioana Albu, Gabriela Czibula, Andrei Mihai, István Gergely Czibula, Sorin Burcea, Abdelkader Mezghani
NeXtNow: A Convolutional Deep Learning Model for the Prediction of Weather Radar Data for Nowcasting Purposes. Remote. Sens. 14 (16) (2022)
Alexandra-Ioana Albu
An Approach for Predicting Protein-Protein Interactions using Supervised Autoencoders. KES (2022)
Alexandra-Ioana Albu
Towards learning transferable embeddings for protein conformations using Variational Autoencoders. KES (2021)
Gabriela Czibula, Alexandra-Ioana Albu, Maria-Iuliana Bocicor, Camelia Chira
AutoPPI: An Ensemble of Deep Autoencoders for Protein-Protein Interaction Prediction. Entropy 23 (6) (2021)
Alexandra-Ioana Albu, Alina Enescu, Luigi Malagò
Tumor Detection in Brain MRIs by Computing Dissimilarities in the Latent Space of a Variational AutoEncoder. NLDL (2020)
Alexandra-Ioana Albu, Gabriela Czibula
Analysing protein dynamics using machine learning based generative models. SACI (2020)
Alexandra-Ioana Albu, Alina Enescu, Luigi Malagò
Improved Slice-wise Tumour Detection in Brain MRIs by Computing Dissimilarities between Latent Representations. CoRR (2020)