Nikola Simidjievski | DeepAI

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Featured Co-authors

Pietro Liò
159 publications
Adrian Weller
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Mateja Jamnik
36 publications
Blaž Škrlj
34 publications
Sašo Džeroski
28 publications
Pietro Barbiero
20 publications
Dragi Kocev
16 publications
Cristian Bodnar
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Ben Day
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Matej Petković
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Ljupčo Todorovski
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∙ 07/04/2023

In-Domain Self-Supervised Learning Can Lead to Improvements in Remote Sensing Image Classification

Self-supervised learning (SSL) has emerged as a promising approach for r...

0 Ivica Dimitrovski, et al. ∙

∙ 07/01/2023

SHARCS: Shared Concept Space for Explainable Multimodal Learning

Multimodal learning is an essential paradigm for addressing complex real...

0 Gabriele Dominici, et al. ∙

∙ 06/27/2023

Enhancing Representation Learning on High-Dimensional, Small-Size Tabular Data: A Divide and Conquer Method with Ensembled VAEs

Variational Autoencoders and their many variants have displayed impressi...

0 Navindu Leelarathna, et al. ∙

∙ 06/21/2023

ProtoGate: Prototype-based Neural Networks with Local Feature Selection for Tabular Biomedical Data

Tabular biomedical data poses challenges in machine learning because it ...

0 Xiangjian Jiang, et al. ∙

∙ 03/16/2023

Sample size determination via learning-type curves

This paper is concerned with sample size determination methodology for p...

0 Alimu Dayimu, et al. ∙

∙ 11/28/2022

Weight Predictor Network with Feature Selection for Small Sample Tabular Biomedical Data

Tabular biomedical data is often high-dimensional but with a very small ...

0 Andrei Margeloiu, et al. ∙

∙ 11/11/2022

Graph-Conditioned MLP for High-Dimensional Tabular Biomedical Data

Genome-wide studies leveraging recent high-throughput sequencing technol...

0 Andrei Margeloiu, et al. ∙

∙ 08/05/2022

Discover the Mysteries of the Maya: Selected Contributions from the Machine Learning Challenge The Discovery Challenge Workshop at ECML PKDD 2021

The volume contains selected contributions from the Machine Learning Cha...

9 Dragi Kocev, et al. ∙

∙ 07/14/2022

Current Trends in Deep Learning for Earth Observation: An Open-source Benchmark Arena for Image Classification

We present 'AiTLAS: Benchmark Arena' – an open-source benchmark framewor...

9 Ivica Dimitrovski, et al. ∙

∙ 01/21/2022

AiTLAS: Artificial Intelligence Toolbox for Earth Observation

The AiTLAS toolbox (Artificial Intelligence Toolbox for Earth Observatio...

62 Ivica Dimitrovski, et al. ∙

∙ 12/17/2021

Heavy-tailed denoising score matching

Score-based model research in the last few years has produced state of t...

17 Jacob Deasy, et al. ∙

∙ 08/04/2021

Discovering outliers in the Mars Express thermal power consumption patterns

The Mars Express (MEX) spacecraft has been orbiting Mars since 2004. The...

13 Matej Petković, et al. ∙

∙ 08/03/2021

GalaxAI: Machine learning toolbox for interpretable analysis of spacecraft telemetry data

We present GalaxAI - a versatile machine learning toolbox for efficient ...

54 Ana Kostovska, et al. ∙

∙ 06/09/2021

Attentional meta-learners are polythetic classifiers

Polythetic classifications, based on shared patterns of features that ne...

5 Ben Day, et al. ∙

∙ 12/02/2020

Improving Interpretability in Medical Imaging Diagnosis using Adversarial Training

We investigate the influence of adversarial training on the interpretabi...

20 Andrei Margeloiu, et al. ∙

∙ 11/22/2020

Using ontology embeddings for structural inductive bias in gene expression data analysis

Stratifying cancer patients based on their gene expression levels allows...

14 Maja Trȩbacz, et al. ∙

∙ 09/29/2020

Incorporating network based protein complex discovery into automated model construction

We propose a method for gene expression based analysis of cancer phenoty...

5 Paul Scherer, et al. ∙

∙ 08/05/2020

Fuzzy Jaccard Index: A robust comparison of ordered lists

We propose Fuzzy Jaccard Index (FUJI) – a scale-invariant score for asse...

7 Matej Petković, et al. ∙

∙ 06/18/2020

Constraining Variational Inference with Geometric Jensen-Shannon Divergence

We examine the problem of controlling divergences for latent space regul...

17 Jacob Deasy, et al. ∙

∙ 06/12/2020

On Second Order Behaviour in Augmented Neural ODEs

Neural Ordinary Differential Equations (NODEs) are a new class of models...

18 Alexander Norcliffe, et al. ∙

∙ 07/01/2019

Equation Discovery for Nonlinear System Identification

Equation discovery methods enable modelers to combine domain-specific kn...

5 Nikola Simidjievski, et al. ∙

∙ 09/03/2018

Machine learning for predicting thermal power consumption of the Mars Express Spacecraft

The thermal subsystem of the Mars Express (MEX) spacecraft keeps the on-...

0 Matej Petković, et al. ∙

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