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ORCIDAlexandra-Ioana Albu
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2020 – today
- 2023
[j3]Alexandra-Ioana Albu, Maria-Iuliana Bocicor, Gabriela Czibula:
MM-StackEns: A new deep multimodal stacked generalization approach for protein-protein interaction prediction. Comput. Biol. Medicine 153: 106526 (2023)- [c6]Alexandra-Ioana Albu:
Temporal Ensembling-based Deep k-Nearest Neighbours for Learning with Noisy Labels. ESANN 2023 - [c5]Alexandra-Ioana Albu:
Improving radar echo extrapolation models using autoencoder-based perceptual losses. KES 2023: 1611-1620 - 2022
- [j2]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): 3890 (2022) - [c4]Alexandra-Ioana Albu:
An Approach for Predicting Protein-Protein Interactions using Supervised Autoencoders. KES 2022: 2023-2032 - 2021
- [j1]Gabriela Czibula, Alexandra-Ioana Albu, Maria-Iuliana Bocicor, Camelia Chira:
AutoPPI: An Ensemble of Deep Autoencoders for Protein-Protein Interaction Prediction. Entropy 23(6): 643 (2021) - [c3]Alexandra-Ioana Albu:
Towards learning transferable embeddings for protein conformations using Variational Autoencoders. KES 2021: 10-19 - 2020
- [c2]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: 1-6 - [c1]Alexandra-Ioana Albu, Gabriela Czibula:
Analysing protein dynamics using machine learning based generative models. SACI 2020: 135-140 - [i1]Alexandra-Ioana Albu, Alina Enescu, Luigi Malagò:
Improved Slice-wise Tumour Detection in Brain MRIs by Computing Dissimilarities between Latent Representations. CoRR abs/2007.12528 (2020)
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