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ORCIDNikola Simidjievski
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2020 – today
- 2024
[j7]Ivica Dimitrovski
, Ivan Kitanovski, Nikola Simidjievski, Dragi Kocev:
In-Domain Self-Supervised Learning Improves Remote Sensing Image Scene Classification. IEEE Geosci. Remote. Sens. Lett. 21: 1-5 (2024)- [c8]Xiangjian Jiang, Andrei Margeloiu, Nikola Simidjievski, Mateja Jamnik:
ProtoGate: Prototype-based Neural Networks with Global-to-local Feature Selection for Tabular Biomedical Data. ICML 2024 - [i27]Konstantin Hemker, Nikola Simidjievski, Mateja Jamnik:
MM-Lego: Modular Biomedical Multimodal Models with Minimal Fine-Tuning. CoRR abs/2405.19950 (2024) - [i26]Andrei Margeloiu, Adrián Bazaga, Nikola Simidjievski, Pietro Liò, Mateja Jamnik:
TabMDA: Tabular Manifold Data Augmentation for Any Classifier using Transformers with In-context Subsetting. CoRR abs/2406.01805 (2024) - [i25]Andrei Margeloiu, Xiangjian Jiang, Nikola Simidjievski, Mateja Jamnik:
TabEBM: A Tabular Data Augmentation Method with Distinct Class-Specific Energy-Based Models. CoRR abs/2409.16118 (2024) - 2023
- [j6]Ivica Dimitrovski, Ivan Kitanovski, Pance Panov, Ana Kostovska, Nikola Simidjievski, Dragi Kocev:
AiTLAS: Artificial Intelligence Toolbox for Earth Observation. Remote. Sens. 15(9): 2343 (2023) - [c7]Andrei Margeloiu, Nikola Simidjievski, Pietro Liò, Mateja Jamnik:
Weight Predictor Network with Feature Selection for Small Sample Tabular Biomedical Data. AAAI 2023: 9081-9089 - [i24]Xiangjian Jiang, Andrei Margeloiu, Nikola Simidjievski, Mateja Jamnik:
ProtoGate: Prototype-based Neural Networks with Local Feature Selection for Tabular Biomedical Data. CoRR abs/2306.12330 (2023) - [i23]Navindu Leelarathna, Andrei Margeloiu, Mateja Jamnik, Nikola Simidjievski:
Enhancing Representation Learning on High-Dimensional, Small-Size Tabular Data: A Divide and Conquer Method with Ensembled VAEs. CoRR abs/2306.15661 (2023) - [i22]Gabriele Dominici, Pietro Barbiero, Lucie Charlotte Magister, Pietro Liò, Nikola Simidjievski:
SHARCS: Shared Concept Space for Explainable Multimodal Learning. CoRR abs/2307.00316 (2023) - [i21]Ivica Dimitrovski, Ivan Kitanovski, Nikola Simidjievski, Dragi Kocev:
In-Domain Self-Supervised Learning Can Lead to Improvements in Remote Sensing Image Classification. CoRR abs/2307.01645 (2023) - [i20]Konstantin Hemker, Nikola Simidjievski, Mateja Jamnik:
HEALNet - Hybrid Multi-Modal Fusion for Heterogeneous Biomedical Data. CoRR abs/2311.09115 (2023) - [i19]Jonas Jürß, Lucie Charlotte Magister, Pietro Barbiero, Pietro Liò, Nikola Simidjievski:
Everybody Needs a Little HELP: Explaining Graphs via Hierarchical Concepts. CoRR abs/2311.15112 (2023) - 2022
- [j5]Paul Scherer, Maja Trebacz, Nikola Simidjievski, Ramón Viñas, Zohreh Shams, Helena Andrés-Terré, Mateja Jamnik, Pietro Liò:
Unsupervised construction of computational graphs for gene expression data with explicit structural inductive biases. Bioinform. 38(5): 1320-1327 (2022) - [c6]Ben J. Day, Ramón Viñas Torné, Nikola Simidjievski, Pietro Lió:
Attentional Meta-learners for Few-shot Polythetic Classification. ICML 2022: 4867-4889 - [i18]Ivica Dimitrovski, Ivan Kitanovski, Pance Panov, Nikola Simidjievski, Dragi Kocev:
AiTLAS: Artificial Intelligence Toolbox for Earth Observation. CoRR abs/2201.08789 (2022) - [i17]Ivica Dimitrovski, Ivan Kitanovski, Dragi Kocev, Nikola Simidjievski:
Current Trends in Deep Learning for Earth Observation: An Open-source Benchmark Arena for Image Classification. CoRR abs/2207.07189 (2022) - [i16]Dragi Kocev, Nikola Simidjievski, Ana Kostovska, Ivica Dimitrovski, Ziga Kokalj:
Discover the Mysteries of the Maya: Selected Contributions from the Machine Learning Challenge & The Discovery Challenge Workshop at ECML PKDD 2021. CoRR abs/2208.03163 (2022) - [i15]Andrei Margeloiu, Nikola Simidjievski, Pietro Lio', Mateja Jamnik:
Graph-Conditioned MLP for High-Dimensional Tabular Biomedical Data. CoRR abs/2211.06302 (2022) - [i14]Andrei Margeloiu, Nikola Simidjievski, Pietro Liò, Mateja Jamnik:
Weight Predictor Network with Feature Selection for Small Sample Tabular Biomedical Data. CoRR abs/2211.15616 (2022) - 2021
- [j4]Matej Petkovic, Blaz Skrlj, Dragi Kocev, Nikola Simidjievski:
Fuzzy Jaccard Index: A robust comparison of ordered lists. Appl. Soft Comput. 113(Part): 107849 (2021) - [i13]Ben Day, Ramón Viñas, Nikola Simidjievski, Pietro Liò:
Attentional meta-learners are polythetic classifiers. CoRR abs/2106.05317 (2021) - [i12]Ana Kostovska, Matej Petkovic, Tomaz Stepisnik, Luke Lucas, Timothy Finn, José Antonio Martínez Heras, Pance Panov, Saso Dzeroski, Alessandro Donati, Nikola Simidjievski, Dragi Kocev:
GalaxAI: Machine learning toolbox for interpretable analysis of spacecraft telemetry data. CoRR abs/2108.01407 (2021) - [i11]Matej Petkovic, Luke Lucas, Tomaz Stepisnik, Pance Panov, Nikola Simidjievski, Dragi Kocev:
Discovering outliers in the Mars Express thermal power consumption patterns. CoRR abs/2108.02067 (2021) - [i10]Jacob Deasy, Nikola Simidjievski, Pietro Liò:
Heavy-tailed denoising score matching. CoRR abs/2112.09788 (2021) - 2020
- [j3]Nikola Simidjievski, Ljupco Todorovski, Jus Kocijan, Saso Dzeroski:
Equation Discovery for Nonlinear System Identification. IEEE Access 8: 29930-29943 (2020) - [c5]Jacob Deasy, Nikola Simidjievski, Pietro Lió:
Constraining Variational Inference with Geometric Jensen-Shannon Divergence. NeurIPS 2020 - [c4]Alexander Norcliffe, Cristian Bodnar, Ben Day, Nikola Simidjievski, Pietro Lió:
On Second Order Behaviour in Augmented Neural ODEs. NeurIPS 2020 - [i9]Alexander Norcliffe, Cristian Bodnar, Ben Day, Nikola Simidjievski, Pietro Liò:
On Second Order Behaviour in Augmented Neural ODEs. CoRR abs/2006.07220 (2020) - [i8]Jacob Deasy, Nikola Simidjievski, Pietro Liò:
Constraining Variational Inference with Geometric Jensen-Shannon Divergence. CoRR abs/2006.10599 (2020) - [i7]Matej Petkovic, Blaz Skrlj, Dragi Kocev, Nikola Simidjievski:
Fuzzy Jaccard Index: A robust comparison of ordered lists. CoRR abs/2008.02216 (2020) - [i6]Paul Scherer, Maja Trebacz, Nikola Simidjievski, Zohreh Shams, Helena Andrés-Terré, Pietro Liò, Mateja Jamnik:
Incorporating network based protein complex discovery into automated model construction. CoRR abs/2010.00387 (2020) - [i5]Maja Trebacz, Zohreh Shams, Mateja Jamnik, Paul Scherer, Nikola Simidjievski, Helena Andrés-Terré, Pietro Liò:
Using ontology embeddings for structural inductive bias in gene expression data analysis. CoRR abs/2011.10998 (2020) - [i4]Andrei Margeloiu, Nikola Simidjievski, Mateja Jamnik, Adrian Weller:
Improving Interpretability in Medical Imaging Diagnosis using Adversarial Training. CoRR abs/2012.01166 (2020)
2010 – 2019
- 2019
- [j2]Gjorgi Peev, Nikola Simidjievski, Saso Dzeroski:
Aiding the Task of Process-Based Modeling with ProBMoTViz. Int. J. Web Appl. 11(1): 27-38 (2019) - [c3]Ilin Tolovski, Ana Kostovska, Nikola Simidjievski, Ljupco Todorovski, Saso Dzeroski, Pance Panov:
Towards reusable process-based models of dynamical systems: A case study in the domain of aquatic ecosystems. MIPRO 2019: 1110-1115 - [i3]Nikola Simidjievski, Ljupco Todorovski, Jus Kocijan, Saso Dzeroski:
Equation Discovery for Nonlinear System Identification. CoRR abs/1907.00821 (2019) - 2018
- [i2]Matej Petkovic, Redouane Boumghar, Martin Breskvar, Saso Dzeroski, Dragi Kocev, Jurica Levatic, Luke Lucas, Aljaz Osojnik, Bernard Zenko, Nikola Simidjievski:
Machine learning for predicting thermal power consumption of the Mars Express Spacecraft. CoRR abs/1809.00542 (2018) - 2017
- [c2]Jovan Tanevski, Nikola Simidjievski, Ljupco Todorovski, Saso Dzeroski:
Process-Based Modeling and Design of Dynamical Systems. ECML/PKDD (3) 2017: 378-382 - [i1]Nikola Simidjievski, Jovan Tanevski, Bernard Zenko, Zoran Levnajic, Ljupco Todorovski, Saso Dzeroski:
Decoupling approximation robustly reconstructs directed dynamical networks. CoRR abs/1712.03100 (2017) - 2016
- [c1]Nikola Simidjievski, Ljupco Todorovski, Saso Dzeroski:
Learning Ensembles of Process-Based Models by Bagging of Random Library Samples. DS 2016: 245-260 - 2015
- [j1]Nikola Simidjievski, Ljupco Todorovski, Saso Dzeroski:
Predicting long-term population dynamics with bagging and boosting of process-based models. Expert Syst. Appl. 42(22): 8484-8496 (2015)
Coauthor Index
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