Maria Brbic

Orcid: 0000-0002-1120-1778

According to our database1, Maria Brbic authored at least 16 papers between 2012 and 2023.

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

Timeline

Legend:

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Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Towards Universal Cell Embeddings: Integrating Single-cell RNA-seq Datasets across Species with SATURN.
Dataset, December, 2023

The Pursuit of Human Labeling: A New Perspective on Unsupervised Learning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022
AMPNet: Attention as Message Passing for Graph Neural Networks.
CoRR, 2022

Open-World Semi-Supervised Learning.
Proceedings of the Tenth International Conference on Learning Representations, 2022

2021
Model-Agnostic Graph Regularization for Few-Shot Learning.
CoRR, 2021

Concept Learners for Few-Shot Learning.
Proceedings of the 9th International Conference on Learning Representations, 2021

2020
ℓ<sub>0</sub>-Motivated Low-Rank Sparse Subspace Clustering.
IEEE Trans. Cybern., 2020

Concept Learners for Generalizable Few-Shot Learning.
CoRR, 2020

2019
Representation learning from single and multiple view data ; Učenje reprezentacije za podatke iz jednog i više pogleda.
PhD thesis, 2019

Selective Sampling-based Scalable Sparse Subspace Clustering.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018
Multi-view low-rank sparse subspace clustering.
Pattern Recognit., 2018

2017
Phenotype Prediction with Semi-supervised Classification Trees.
Proceedings of the New Frontiers in Mining Complex Patterns - 6th International Workshop, 2017

Phenotype Inference from Text and Genomic Data.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

Fast clustering in linear 1D subspaces: segmentation of microscopic image of unstained specimens.
Proceedings of the Medical Imaging 2017: Digital Pathology, 2017

2015
Tuning machine learning algorithms for content-based movie recommendation.
Intell. Decis. Technol., 2015

2012
Recommendation of YouTube Videos.
Proceedings of the 2012 Proceedings of the 35th International Convention, 2012


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