Martin Breskvar

Jožef Stefan Institute | IJS · Department of Knowledge Technologies

Safe drinking water is a constant challenge not only due to global changes but recently also the rise of emerging pathogens. According to the latest WHO data fungi became the part of the list in 2021. Fungi in water are well documented, but the selection of fungi on different materials in contact with water is poorly investigated. In vitro testing...

Safe drinking water is a constant challenge due to global environmental changes and the rise of emerging pathogens-lately, these also include fungi. The fungal presence in water greatly varies between sampling locations. Little is known about fungi from water in combination with a selection of materials used in water distribution systems. Our resea...

Historically valuable canvas paintings are often exposed to conditions enabling microbial deterioration. Painting materials, mainly of organic origin, in combination with high humidity and other environmental conditions, favor microbial metabolism and growth. These preconditions are often present during exhibitions or storage in old buildings, such...

Safe drinking water is a constant challenge due to global changes and the rise of emerging pathogens. According to the latest data from the WHO, these include also fungi. Although their presence in water is well documented, selection of fungi on different materials are scarce. In vitro testing has shown that spores and pigmented fungal cells can su...

Beach safety regulation is based on faecal indicators in water, leaving out sand and fungi, whose presence in both matrices has often been reported. To study the abundance, diversity and possible fluctuations of mycobiota, fungi from sand and seawater were isolated from the Portorož beach (Slovenia) during a 1-year period. Sand analyses yielded 64...

We present six datasets containing telemetry data of the Mars Express Spacecraft (MEX), a spacecraft orbiting Mars operated by the European Space Agency. The data consisting of context data and thermal power consumption measurements, capture the status of the spacecraft over three Martian years, sampled at six different time resolutions that range...

This work presents an application of machine learning methods in the area of environmental epidemiology. We have used lifestyle and exposure data from 769 mother-child pairs from Slovenia and Croatia to predict the neurodevelopment of the children, expressed through five Bayley-III test scores. We have applied single- and multi-target (semi-)superv...

Montane temperate forests in Central and Southern Europe host diverse small mammal assemblages, but the fluctuations in these assemblages in correlation with owl predators are still poorly explored. The key questions of our study were how coexisting owls responded to different prey fluctuations and whether any particular small mammal species govern...

In this paper, we address the task of multi-target regression (MTR), where the goal is to predict multiple continuous variables. We approach MTR by learning global models that simultaneously predict all of the target variables, as opposed to learning a separate model for predicting each of the target variables. Specifically, we learn rule ensembles...

We formulate the task of predicting protein-disease associations as a multi-label classification task. We apply both problem transformation (binary relevance), i.e., local approaches, and algorithm adaptation methods (predictive clustering trees), i.e., global approaches. In both cases, methods for learning individual trees and tree ensembles (rand...

Typical disease-associated microbiota changes are widely studied as potential diagnostic or therapeutic targets. Our aim was to analyze a hospitalized cohort including various gastroenterological pathologies in order to fine-map the gut microbiota dysbiosis. Bacterial (V3 V4) and fungal (ITS2) communities were determined in 121 hospitalized gastroi...

The thermal subsystem of the Mars Express (MEX) spacecraft keeps the on-board equipment within its predefined operating temperatures range. To plan and optimize the scientific operations of MEX, its operators need to estimate in advance, as accurately as possible, the power consumption of the thermal subsystem. The remaining power can then be alloc...

We address the task of multi-target regression, where we generate global models that simultaneously predict multiple continuous variables. We use ensembles of generalized decision trees, called predictive clustering trees (PCTs), in particular bagging and random forests (RF) of PCTs and extremely randomized PCTs (extra PCTs). We add another dimensi...

The thermal subsystem of the Mars Express (MEX) spacecraft keeps the on-board equipment within its pre-defined operating temperatures range. To plan and optimize the scientific operations of MEX, its operators need to estimate in advance, as accurately as possible, the power consumption of the thermal subsystem. The remaining power can then be allo...

Clostridium difficile infection (CDI) is typically associated with disturbed gut microbiota and changes related to decreased colonization resistance against C. difficile are well described. However, nothing is known about possible effects of C. difficile on gut microbiota restoration during or after CDI. In this study, we have mimicked such a situa...

The thermal subsystem of the Mars Express (MEX) orbiter keeps the on-board equipment within its pre-defined operating temperatures range. To plan and optimize the scientific operations of MEX, its operators need to estimate in advance, as accurately as possible, the power consumption of the thermal subsystem. The residual power can then be allocate...

In this work, we address the task of multi-label classification (MLC). There are two main groups of methods addressing the task of MLC: problem transformation and algorithm adaptation. Methods from the former group transform the dataset to simpler local problems and then use off-the-shelf methods to solve them. Methods from the latter group change...