Nikola Simidjievski

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 40

Top Topics

Biomedical Data

Gene Expression

Machine Learning

Top Venues

Publications

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 (2024)
Konstantin Hemker, Nikola Simidjievski, Mateja Jamnik
MM-Lego: Modular Biomedical Multimodal Models with Minimal Fine-Tuning. CoRR (2024)
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 (2024)
Konstantin Hemker, Nikola Simidjievski, Mateja Jamnik
HEALNet - Hybrid Multi-Modal Fusion for Heterogeneous Biomedical Data. CoRR (2023)
Ivica Dimitrovski, Ivan Kitanovski, Nikola Simidjievski, Dragi Kocev
In-Domain Self-Supervised Learning Can Lead to Improvements in Remote Sensing Image Classification. CoRR (2023)
Andrei Margeloiu, Nikola Simidjievski, Pietro Liò, Mateja Jamnik
Weight Predictor Network with Feature Selection for Small Sample Tabular Biomedical Data. AAAI (2023)
Xiangjian Jiang, Andrei Margeloiu, Nikola Simidjievski, Mateja Jamnik
ProtoGate: Prototype-based Neural Networks with Local Feature Selection for Tabular Biomedical Data. CoRR (2023)
Gabriele Dominici, Pietro Barbiero, Lucie Charlotte Magister, Pietro Liò, Nikola Simidjievski
SHARCS: Shared Concept Space for Explainable Multimodal Learning. CoRR (2023)
Ivica Dimitrovski, Ivan Kitanovski, Pance Panov, Ana Kostovska, Nikola Simidjievski, Dragi Kocev
AiTLAS: Artificial Intelligence Toolbox for Earth Observation. Remote. Sens. 15 (9) (2023)
Jonas Jürß, Lucie Charlotte Magister, Pietro Barbiero, Pietro Liò, Nikola Simidjievski
Everybody Needs a Little HELP: Explaining Graphs via Hierarchical Concepts. CoRR (2023)
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 (2023)
Andrei Margeloiu, Nikola Simidjievski, Pietro Lio', Mateja Jamnik
Graph-Conditioned MLP for High-Dimensional Tabular Biomedical Data. CoRR (2022)
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 (2022)
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) (2022)
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 (2022)
Ivica Dimitrovski, Ivan Kitanovski, Pance Panov, Nikola Simidjievski, Dragi Kocev
AiTLAS: Artificial Intelligence Toolbox for Earth Observation. CoRR (2022)
Andrei Margeloiu, Nikola Simidjievski, Pietro Liò, Mateja Jamnik
Weight Predictor Network with Feature Selection for Small Sample Tabular Biomedical Data. CoRR (2022)
Ben J. Day, Ramón Viñas Torné, Nikola Simidjievski, Pietro Lió
Attentional Meta-learners for Few-shot Polythetic Classification. ICML (2022)
Ana Kostovska, Matej Petkovic, Tomaz Stepisnik, Luke Lucas, Timothy Finn, José Antonio Martinez Heras, Pance Panov, Saso Dzeroski, Alessandro Donati, Nikola Simidjievski, Dragi Kocev
GalaxAI: Machine learning toolbox for interpretable analysis of spacecraft telemetry data. CoRR (2021)
Ben Day, Ramón Viñas, Nikola Simidjievski, Pietro Liò
Attentional meta-learners are polythetic classifiers. CoRR (2021)
Matej Petkovic, Blaz Skrlj, Dragi Kocev, Nikola Simidjievski
Fuzzy Jaccard Index: A robust comparison of ordered lists. Appl. Soft Comput. 113 (Part) (2021)
Matej Petkovic, Luke Lucas, Tomaz Stepisnik, Pance Panov, Nikola Simidjievski, Dragi Kocev
Discovering outliers in the Mars Express thermal power consumption patterns. CoRR (2021)
Jacob Deasy, Nikola Simidjievski, Pietro Liò
Heavy-tailed denoising score matching. CoRR (2021)
Jacob Deasy, Nikola Simidjievski, Pietro Lió
Constraining Variational Inference with Geometric Jensen-Shannon Divergence. NeurIPS (2020)
Andrei Margeloiu, Nikola Simidjievski, Mateja Jamnik, Adrian Weller
Improving Interpretability in Medical Imaging Diagnosis using Adversarial Training. CoRR (2020)
Matej Petkovic, Blaz Skrlj, Dragi Kocev, Nikola Simidjievski
Fuzzy Jaccard Index: A robust comparison of ordered lists. CoRR (2020)
Alexander Norcliffe, Cristian Bodnar, Ben Day, Nikola Simidjievski, Pietro Lió
On Second Order Behaviour in Augmented Neural ODEs. NeurIPS (2020)
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 (2020)
Nikola Simidjievski, Ljupco Todorovski, Jus Kocijan, Saso Dzeroski
Equation Discovery for Nonlinear System Identification. IEEE Access 8 (2020)
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 (2020)
Alexander Norcliffe, Cristian Bodnar, Ben Day, Nikola Simidjievski, Pietro Liò
On Second Order Behaviour in Augmented Neural ODEs. CoRR (2020)
Jacob Deasy, Nikola Simidjievski, Pietro Liò
Constraining Variational Inference with Geometric Jensen-Shannon Divergence. CoRR (2020)
Gjorgi Peev, Nikola Simidjievski, Saso Dzeroski
Aiding the Task of Process-Based Modeling with ProBMoTViz. Int. J. Web Appl. 11 (1) (2019)
Nikola Simidjievski, Ljupco Todorovski, Jus Kocijan, Saso Dzeroski
Equation Discovery for Nonlinear System Identification. CoRR (2019)
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)
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 (2018)
Nikola Simidjievski, Jovan Tanevski, Bernard Zenko, Zoran Levnajic, Ljupco Todorovski, Saso Dzeroski
Decoupling approximation robustly reconstructs directed dynamical networks. CoRR (2017)
Jovan Tanevski, Nikola Simidjievski, Ljupco Todorovski, Saso Dzeroski
Process-Based Modeling and Design of Dynamical Systems. ECML/PKDD (3) (2017)
Nikola Simidjievski, Ljupco Todorovski, Saso Dzeroski
Learning Ensembles of Process-Based Models by Bagging of Random Library Samples. DS (2016)
Nikola Simidjievski, Ljupco Todorovski, Saso Dzeroski
Predicting long-term population dynamics with bagging and boosting of process-based models. Expert Syst. Appl. 42 (22) (2015)