Recommendation of YouTube Videos. - Maria Brbic; Eugen Rozic; Ivana Podnar Zarko (MIPRO, 2012)

Tuning machine learning algorithms for content-based movie recommendation. - Maria Brbic; Ivana Podnar Zarko (Intell. Decis. Technol., 2015)

Fast clustering in linear 1D subspaces: segmentation of microscopic image of unstained specimens. - Ivica Kopriva; Maria Brbic; Dijana Tolic; Nino Antulov-Fantulin; Xinjian Chen 001 (Digital Pathology, 2017)

Phenotype Inference from Text and Genomic Data. - Maria Brbic; Matija Piskorec; Vedrana Vidulin; Anita Krisko; Tomislav Smuc; Fran Supek (ECML/PKDD (3), 2017)

Phenotype Prediction with Semi-supervised Classification Trees. - Jurica Levatic; Maria Brbic; Tomaz Stepisnik Perdih; Dragi Kocev; Vedrana Vidulin; Tomislav Smuc; Fran Supek; Saso Dzeroski (NFMCP@PKDD/ECML, 2017)

Multi-view low-rank sparse subspace clustering. - Maria Brbic; Ivica Kopriva (Pattern Recognit., 2018)

Selective Sampling-based Scalable Sparse Subspace Clustering. - Shin Matsushima; Maria Brbic (NeurIPS, 2019)

Representation learning from single and multiple view data ; Učenje reprezentacije za podatke iz jednog i više pogleda. - Maria Brbic (2019)

Concept Learners for Generalizable Few-Shot Learning. - Kaidi Cao; Maria Brbic; Jure Leskovec (CoRR, 2020)

ℓ0-Motivated Low-Rank Sparse Subspace Clustering. - Maria Brbic; Ivica Kopriva (IEEE Trans. Cybern., 2020)

Concept Learners for Few-Shot Learning. - Kaidi Cao; Maria Brbic; Jure Leskovec (ICLR, 2021)

Model-Agnostic Graph Regularization for Few-Shot Learning. - Ethan Shen; Maria Brbic; Nicholas Monath; Jiaqi Zhai; Manzil Zaheer; Jure Leskovec (CoRR, 2021)

Open-World Semi-Supervised Learning. - Kaidi Cao; Maria Brbic; Jure Leskovec (ICLR, 2022)

AMPNet: Attention as Message Passing for Graph Neural Networks. - Syed Asad Rizvi; Nhi Nguyen; Haoran Lyu; Ben Christensen; Josue Ortega Caro; Emanuele Zappala; Maria Brbic; Rahul Madhav Dhodapkar; David van Dijk (CoRR, 2022)

The Pursuit of Human Labeling: A New Perspective on Unsupervised Learning. - Artyom Gadetsky; Maria Brbic (NeurIPS, 2023)

Towards Universal Cell Embeddings: Integrating Single-cell RNA-seq Datasets across Species with SATURN. - Yanay Rosen; Yusuf H. Roohani; Maria Brbic; Kyle Swanson; Ziang Li; Jure Leskovec (Zenodo, 2023)

Let Go of Your Labels with Unsupervised Transfer. - Artyom Gadetsky; Yulun Jiang; Maria Brbic (ICML, 2024)

Fine-grained Classes and How to Find Them. - Matej Grcic; Artyom Gadetsky; Maria Brbic (ICML, 2024)

Cross-domain Open-world Discovery. - Shuo Wen; Maria Brbic (ICML, 2024)

Large (Vision) Language Models are Unsupervised In-Context Learners. - Artyom Gadetsky; Andrei Atanov; Yulun Jiang; Zhitong Gao; Ghazal Hosseini Mighan; Amir Zamir; Maria Brbic (ICLR, 2025)

With Limited Data for Multimodal Alignment, Let the STRUCTURE Guide You. - Fabian Gröger; Shuo Wen; Huyen Le; Maria Brbic (CoRR, 2025)

MARBLE: A Hard Benchmark for Multimodal Spatial Reasoning and Planning. - Yulun Jiang; Yekun Chai; Maria Brbic; Michael Moor (CoRR, 2025)