Nikola Simidjievski
University of Cambridge
H-index: 11
Europe-United Kingdom
Top articles of Nikola Simidjievski
In-Domain Self-Supervised Learning Improves Remote Sensing Image Scene Classification
IEEE Geoscience and Remote Sensing Letters
2024/1/16
Nikola Simidjievski
H-Index: 6
Hybrid Early Fusion for Multi-Modal Biomedical Representations
2023/12/18
Nikola Simidjievski
H-Index: 6
Everybody Needs a Little HELP: Explaining Graphs via Hierarchical Concepts
arXiv preprint arXiv:2311.15112
2023/11/25
Nikola Simidjievski
H-Index: 6
HEALNet--Hybrid Multi-Modal Fusion for Heterogeneous Biomedical Data
arXiv preprint arXiv:2311.09115
2023/11/15
Nikola Simidjievski
H-Index: 6
In-Domain Self-Supervised Learning Can Lead to Improvements in Remote Sensing Image Classification
arXiv preprint arXiv:2307.01645
2023/7/4
Nikola Simidjievski
H-Index: 6
Sharcs: Shared concept space for explainable multimodal learning
arXiv preprint arXiv:2307.00316
2023/7/1
Nikola Simidjievski
H-Index: 6
Enhancing representation learning on high-dimensional, small-size tabular data: A divide and conquer method with ensembled VAEs
arXiv preprint arXiv:2306.15661
2023/6/27
Andrei Margeloiu
H-Index: 1
Nikola Simidjievski
H-Index: 6
Weight predictor network with feature selection for small sample tabular biomedical data
2022/11/28
Andrei Margeloiu
H-Index: 1
Nikola Simidjievski
H-Index: 6
ProtoGate: Prototype-based Neural Networks with Local Feature Selection for Tabular Biomedical Data
ICML 2023 - Interpretable Machine Learning in Healthcare (IMLH) workshop
2023/6/21
Andrei Margeloiu
H-Index: 1
Nikola Simidjievski
H-Index: 6
Aitlas: Artificial intelligence toolbox for earth observation
Remote Sensing
2023/4/28
Nikola Simidjievski
H-Index: 6
Sample size determination via learning-type curves
arXiv preprint arXiv:2303.09575
2023/3/16
Nikola Simidjievski
H-Index: 6
Current trends in deep learning for Earth Observation: An open-source benchmark arena for image classification
2023/3/1
Nikola Simidjievski
H-Index: 6
Spatio-relational inductive biases in spatial cell-type deconvolution
bioRxiv
2023
Paul Scherer
H-Index: 2
Nikola Simidjievski
H-Index: 6
GCondNet: A Novel Method for Improving Neural Networks on Small High-Dimensional Tabular Data
arXiv preprint arXiv:2211.06302
2022/11/11
Andrei Margeloiu
H-Index: 1
Nikola Simidjievski
H-Index: 6
Discover the Mysteries of the Maya: Selected Contributions from the Machine Learning Challenge & The Discovery Challenge Workshop at ECML PKDD 2021
arXiv preprint arXiv:2208.03163
2022/8/5
Nikola Simidjievski
H-Index: 6
Attentional Meta-learners for Few-shot Polythetic Classification
2022/6/28
Ramon Viñas Torné
H-Index: 2
Nikola Simidjievski
H-Index: 6
Machine learning for effective spacecraft operation: Operating INTEGRAL through dynamic radiation environments
Advances in Space Research
2022/6/1
Nikola Simidjievski
H-Index: 6
Richard Southworth
H-Index: 13
Machine-learning ready data on the thermal power consumption of the Mars Express Spacecraft
Scientific Data
2022/5/24
Nikola Simidjievski
H-Index: 6
Unsupervised construction of computational graphs for gene expression data with explicit structural inductive biases
Bioinformatics
2022/3/1
Paul Scherer
H-Index: 2
Maja Trębacz
H-Index: 1
Nikola Simidjievski
H-Index: 6
Helena Andres Terre
H-Index: 3
GalaxAI: Machine learning toolbox for interpretable analysis of spacecraft telemetry data
2021/7/26
Nikola Simidjievski
H-Index: 6
Co-Authors
