Nikola Simidjievski

56 papers A* 9B 2Journal 43Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Towards Spatial Transcriptomics-driven Pathology Foundation Models. CoRR Konstantin Hemker, Andrew H. Song, Cristina Almagro-Pérez, Guillaume Jaume, Sophia J. Wagner, Anurag Vaidya, Nikola Simidjievski, Mateja Jamnik, Faisal Mahmood
2025	B	`ed.`	Discovery Science - 28th International Conference, DS 2025, Ljubljana, Slovenia, September 23-25, 2025, Proceedings DS Saso Dzeroski, Jurica Levatic, Gianvito Pio, Nikola Simidjievski
2025	J	`jnl`	How Well Does Your Tabular Generator Learn the Structure of Tabular Data? CoRR Xiangjian Jiang, Nikola Simidjievski, Mateja Jamnik
2025	J	`jnl`	LLM Embeddings for Deep Learning on Tabular Data. CoRR Boshko Koloski, Andrei Margeloiu, Xiangjian Jiang, Blaz Skrlj, Nikola Simidjievski, Mateja Jamnik
2025	A*	`conf`	Measuring Cross-Modal Interactions in Multimodal Models. AAAI Laura Wenderoth, Konstantin Hemker, Nikola Simidjievski, Mateja Jamnik
2025	A*	`conf`	Multimodal Lego: Model Merging and Fine-Tuning Across Topologies and Modalities in Biomedicine. ICLR Konstantin Hemker, Nikola Simidjievski, Mateja Jamnik
2025	J	`jnl`	RO-FIGS: Efficient and Expressive Tree-Based Ensembles for Tabular Data. CoRR Urska Matjasec, Nikola Simidjievski, Mateja Jamnik
2025	J	`jnl`	TabStruct: Measuring Structural Fidelity of Tabular Data. CoRR Xiangjian Jiang, Nikola Simidjievski, Mateja Jamnik
2024	J	`jnl`	GCondNet: A Novel Method for Improving Neural Networks on Small High-Dimensional Tabular Data. Trans. Mach. Learn. Res. Andrei Margeloiu, Nikola Simidjievski, Pietro Lio, Mateja Jamnik
2024	A*	`conf`	HEALNet: Multimodal Fusion for Heterogeneous Biomedical Data. NeurIPS Konstantin Hemker, Nikola Simidjievski, Mateja Jamnik
2024	J	`jnl`	In-Domain Self-Supervised Learning Improves Remote Sensing Image Scene Classification. IEEE Geosci. Remote. Sens. Lett. Ivica Dimitrovski, Ivan Kitanovski, Nikola Simidjievski, Dragi Kocev
2024	J	`jnl`	Interdisciplinary and Collaborative Training in Neuroscience: Insights from the Human Brain Project Education Programme. Neuroinformatics Alice Geminiani, Judith Kathrein, Alper Yegenoglu, Franziska Vogel, Marcelo Armendáriz, Ziv Ben-Zion, Petrut Antoniu Bogdan, Joana Covelo, Marissa Díaz Pier, Karin Grasenick, Vitali Karasenko, Wouter Klijn, Tina Kokan, Carmen Alina Lupascu, Anna Lührs, Tara Mahfoud, Taylan Özden, Jens Egholm Pedersen, Luca Peres, Ingrid Reiten, Nikola Simidjievski, Inga Ulnicane, Michiel van der Vlag, Lyuba Zehl, Alois Saria, Sandra Diaz-Pier, Johannes Passecker
2024	J	`jnl`	MM-Lego: Modular Biomedical Multimodal Models with Minimal Fine-Tuning. CoRR Konstantin Hemker, Nikola Simidjievski, Mateja Jamnik
2024	J	`jnl`	Measuring Cross-Modal Interactions in Multimodal Models. CoRR Laura Wenderoth, Konstantin Hemker, Nikola Simidjievski, Mateja Jamnik
2024	J	`jnl`	PATHS: A Hierarchical Transformer for Efficient Whole Slide Image Analysis. CoRR Zak Buzzard, Konstantin Hemker, Nikola Simidjievski, Mateja Jamnik
2024	A*	`conf`	ProtoGate: Prototype-based Neural Networks with Global-to-local Feature Selection for Tabular Biomedical Data. ICML Xiangjian Jiang, Andrei Margeloiu, Nikola Simidjievski, Mateja Jamnik
2024	A*	`conf`	TabEBM: A Tabular Data Augmentation Method with Distinct Class-Specific Energy-Based Models. NeurIPS Andrei Margeloiu, Xiangjian Jiang, Nikola Simidjievski, Mateja Jamnik
2024	J	`jnl`	TabEBM: A Tabular Data Augmentation Method with Distinct Class-Specific Energy-Based Models. CoRR Andrei Margeloiu, Xiangjian Jiang, Nikola Simidjievski, Mateja Jamnik
2024	J	`jnl`	TabMDA: Tabular Manifold Data Augmentation for Any Classifier using Transformers with In-context Subsetting. CoRR Andrei Margeloiu, Adrián Bazaga, Nikola Simidjievski, Pietro Liò, Mateja Jamnik
2023	J	`jnl`	AiTLAS: Artificial Intelligence Toolbox for Earth Observation. Remote. Sens. Ivica Dimitrovski, Ivan Kitanovski, Pance Panov, Ana Kostovska, Nikola Simidjievski, Dragi Kocev
2023	J	`jnl`	Enhancing Representation Learning on High-Dimensional, Small-Size Tabular Data: A Divide and Conquer Method with Ensembled VAEs. CoRR Navindu Leelarathna, Andrei Margeloiu, Mateja Jamnik, Nikola Simidjievski
2023	J	`jnl`	Everybody Needs a Little HELP: Explaining Graphs via Hierarchical Concepts. CoRR Jonas Jürß, Lucie Charlotte Magister, Pietro Barbiero, Pietro Liò, Nikola Simidjievski
2023	J	`jnl`	HEALNet - Hybrid Multi-Modal Fusion for Heterogeneous Biomedical Data. CoRR Konstantin Hemker, Nikola Simidjievski, Mateja Jamnik
2023	J	`jnl`	In-Domain Self-Supervised Learning Can Lead to Improvements in Remote Sensing Image Classification. CoRR Ivica Dimitrovski, Ivan Kitanovski, Nikola Simidjievski, Dragi Kocev
2023	J	`jnl`	ProtoGate: Prototype-based Neural Networks with Local Feature Selection for Tabular Biomedical Data. CoRR Xiangjian Jiang, Andrei Margeloiu, Nikola Simidjievski, Mateja Jamnik
2023	J	`jnl`	SHARCS: Shared Concept Space for Explainable Multimodal Learning. CoRR Gabriele Dominici, Pietro Barbiero, Lucie Charlotte Magister, Pietro Liò, Nikola Simidjievski
2023	A*	`conf`	Weight Predictor Network with Feature Selection for Small Sample Tabular Biomedical Data. AAAI Andrei Margeloiu, Nikola Simidjievski, Pietro Liò, Mateja Jamnik
2022	J	`jnl`	AiTLAS: Artificial Intelligence Toolbox for Earth Observation. CoRR Ivica Dimitrovski, Ivan Kitanovski, Pance Panov, Nikola Simidjievski, Dragi Kocev
2022	A*	`conf`	Attentional Meta-learners for Few-shot Polythetic Classification. ICML Ben J. Day, Ramón Viñas Torné, Nikola Simidjievski, Pietro Lió
2022	J	`jnl`	Current Trends in Deep Learning for Earth Observation: An Open-source Benchmark Arena for Image Classification. CoRR Ivica Dimitrovski, Ivan Kitanovski, Dragi Kocev, Nikola Simidjievski
2022	J	`jnl`	Discover the Mysteries of the Maya: Selected Contributions from the Machine Learning Challenge & The Discovery Challenge Workshop at ECML PKDD 2021. CoRR Dragi Kocev, Nikola Simidjievski, Ana Kostovska, Ivica Dimitrovski, Ziga Kokalj
2022	J	`jnl`	Graph-Conditioned MLP for High-Dimensional Tabular Biomedical Data. CoRR Andrei Margeloiu, Nikola Simidjievski, Pietro Lio', Mateja Jamnik
2022	J	`jnl`	Unsupervised construction of computational graphs for gene expression data with explicit structural inductive biases. Bioinform. Paul Scherer, Maja Trebacz, Nikola Simidjievski, Ramón Viñas, Zohreh Shams, Helena Andrés-Terré, Mateja Jamnik, Pietro Liò
2022	J	`jnl`	Weight Predictor Network with Feature Selection for Small Sample Tabular Biomedical Data. CoRR Andrei Margeloiu, Nikola Simidjievski, Pietro Liò, Mateja Jamnik
2021	J	`jnl`	Attentional meta-learners are polythetic classifiers. CoRR Ben Day, Ramón Viñas, Nikola Simidjievski, Pietro Liò
2021	J	`jnl`	Discovering outliers in the Mars Express thermal power consumption patterns. CoRR Matej Petkovic, Luke Lucas, Tomaz Stepisnik, Pance Panov, Nikola Simidjievski, Dragi Kocev
2021	J	`jnl`	Fuzzy Jaccard Index: A robust comparison of ordered lists. Appl. Soft Comput. Matej Petkovic, Blaz Skrlj, Dragi Kocev, Nikola Simidjievski
2021	J	`jnl`	GalaxAI: Machine learning toolbox for interpretable analysis of spacecraft telemetry data. CoRR Ana Kostovska, Matej Petkovic, Tomaz Stepisnik, Luke Lucas, Timothy Finn, José Antonio Martínez Heras, Pance Panov, Saso Dzeroski, Alessandro Donati, Nikola Simidjievski, Dragi Kocev
2021	J	`jnl`	Heavy-tailed denoising score matching. CoRR Jacob Deasy, Nikola Simidjievski, Pietro Liò
2020	A*	`conf`	Constraining Variational Inference with Geometric Jensen-Shannon Divergence. NeurIPS Jacob Deasy, Nikola Simidjievski, Pietro Lió
2020	J	`jnl`	Constraining Variational Inference with Geometric Jensen-Shannon Divergence. CoRR Jacob Deasy, Nikola Simidjievski, Pietro Liò
2020	J	`jnl`	Equation Discovery for Nonlinear System Identification. IEEE Access Nikola Simidjievski, Ljupco Todorovski, Jus Kocijan, Saso Dzeroski
2020	J	`jnl`	Fuzzy Jaccard Index: A robust comparison of ordered lists. CoRR Matej Petkovic, Blaz Skrlj, Dragi Kocev, Nikola Simidjievski
2020	J	`jnl`	Improving Interpretability in Medical Imaging Diagnosis using Adversarial Training. CoRR Andrei Margeloiu, Nikola Simidjievski, Mateja Jamnik, Adrian Weller
2020	J	`jnl`	Incorporating network based protein complex discovery into automated model construction. CoRR Paul Scherer, Maja Trebacz, Nikola Simidjievski, Zohreh Shams, Helena Andrés-Terré, Pietro Liò, Mateja Jamnik
2020	A*	`conf`	On Second Order Behaviour in Augmented Neural ODEs. NeurIPS Alexander Norcliffe, Cristian Bodnar, Ben Day, Nikola Simidjievski, Pietro Lió
2020	J	`jnl`	On Second Order Behaviour in Augmented Neural ODEs. CoRR Alexander Norcliffe, Cristian Bodnar, Ben Day, Nikola Simidjievski, Pietro Liò
2020	J	`jnl`	Using ontology embeddings for structural inductive bias in gene expression data analysis. CoRR Maja Trebacz, Zohreh Shams, Mateja Jamnik, Paul Scherer, Nikola Simidjievski, Helena Andrés-Terré, Pietro Liò
2019	J	`jnl`	Aiding the Task of Process-Based Modeling with ProBMoTViz. Int. J. Web Appl. Gjorgi Peev, Nikola Simidjievski, Saso Dzeroski
2019	J	`jnl`	Equation Discovery for Nonlinear System Identification. CoRR Nikola Simidjievski, Ljupco Todorovski, Jus Kocijan, Saso Dzeroski
2019	—	`conf`	Towards reusable process-based models of dynamical systems: A case study in the domain of aquatic ecosystems. MIPRO Ilin Tolovski, Ana Kostovska, Nikola Simidjievski, Ljupco Todorovski, Saso Dzeroski, Pance Panov
2018	J	`jnl`	Machine learning for predicting thermal power consumption of the Mars Express Spacecraft. CoRR Matej Petkovic, Redouane Boumghar, Martin Breskvar, Saso Dzeroski, Dragi Kocev, Jurica Levatic, Luke Lucas, Aljaz Osojnik, Bernard Zenko, Nikola Simidjievski
2017	J	`jnl`	Decoupling approximation robustly reconstructs directed dynamical networks. CoRR Nikola Simidjievski, Jovan Tanevski, Bernard Zenko, Zoran Levnajic, Ljupco Todorovski, Saso Dzeroski
2017	—	`conf`	Process-Based Modeling and Design of Dynamical Systems. ECML/PKDD (3) Jovan Tanevski, Nikola Simidjievski, Ljupco Todorovski, Saso Dzeroski
2016	B	`conf`	Learning Ensembles of Process-Based Models by Bagging of Random Library Samples. DS Nikola Simidjievski, Ljupco Todorovski, Saso Dzeroski
2015	J	`jnl`	Predicting long-term population dynamics with bagging and boosting of process-based models. Expert Syst. Appl. Nikola Simidjievski, Ljupco Todorovski, Saso Dzeroski