Alexandra-Ioana Albu

11 papers B 4C 1Misc 1Journal 3Unranked 2
YearRankTypeTitle / Venue / Authors
2026 C conf
X-CViT: An Explainable Vision Transformer Architecture for Classification of Cloud Images.
ICPRAM
Stefan Alexandrescu, Gabriela Czibula, Alexandra-Ioana Albu, Eugen Mihulet
2025 — conf
Diff-SySC: An Approach Using Diffusion Models for Semi-Supervised Image Classification.
ICAART (3)
Paul-Dumitru Orasan, Alexandra-Ioana Albu, Gabriela Czibula
2023 B conf
Improving radar echo extrapolation models using autoencoder-based perceptual losses.
KES
Alexandra-Ioana Albu
2023 B conf
Temporal Ensembling-based Deep k-Nearest Neighbours for Learning with Noisy Labels.
ESANN
Alexandra-Ioana Albu
2022 B conf
An Approach for Predicting Protein-Protein Interactions using Supervised Autoencoders.
KES
Alexandra-Ioana Albu
2022 J jnl
NeXtNow: A Convolutional Deep Learning Model for the Prediction of Weather Radar Data for Nowcasting Purposes.
Remote. Sens.
Alexandra-Ioana Albu, Gabriela Czibula, Andrei Mihai, István Gergely Czibula, Sorin Burcea, Abdelkader Mezghani
2021 J jnl
AutoPPI: An Ensemble of Deep Autoencoders for Protein-Protein Interaction Prediction.
Entropy
Gabriela Czibula, Alexandra-Ioana Albu, Maria-Iuliana Bocicor, Camelia Chira
2021 B conf
Towards learning transferable embeddings for protein conformations using Variational Autoencoders.
KES
Alexandra-Ioana Albu
2020 Misc conf
Analysing protein dynamics using machine learning based generative models.
SACI
Alexandra-Ioana Albu, Gabriela Czibula
2020 J jnl
Improved Slice-wise Tumour Detection in Brain MRIs by Computing Dissimilarities between Latent Representations.
CoRR
Alexandra-Ioana Albu, Alina Enescu, Luigi Malagò
2020 — conf
Tumor Detection in Brain MRIs by Computing Dissimilarities in the Latent Space of a Variational AutoEncoder.
NLDL
Alexandra-Ioana Albu, Alina Enescu, Luigi Malagò