Search Results - "Demšar, Janez"
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Assessment of Machine Learning Reliability Methods for Quantifying the Applicability Domain of QSAR Regression Models
Published in Journal of chemical information and modeling (24-02-2014)“…The vastness of chemical space and the relatively small coverage by experimental data recording molecular properties require us to identify subspaces, or…”
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Hands-on training about overfitting
Published in PLoS computational biology (04-03-2021)“…Overfitting is one of the critical problems in developing models by machine learning. With machine learning becoming an essential technology in computational…”
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A combinatorial approach to graphlet counting
Published in Bioinformatics (15-02-2014)“…Small-induced subgraphs called graphlets are emerging as a possible tool for exploration of global and local structure of networks and for analysis of roles of…”
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Emotion Recognition on Twitter: Comparative Study and Training a Unison Model
Published in IEEE transactions on affective computing (01-07-2020)“…Despite recent successes of deep learning in many fields of natural language processing, previous studies of emotion recognition on Twitter mainly focused on…”
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FragViz: visualization of fragmented networks
Published in BMC bioinformatics (22-09-2010)“…Researchers in systems biology use network visualization to summarize the results of their analysis. Such networks often include unconnected components, which…”
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Statistical comparison of classifiers through Bayesian hierarchical modelling
Published in Machine learning (01-11-2017)“…Usually one compares the accuracy of two competing classifiers using null hypothesis significance tests. Yet such tests suffer from important shortcomings,…”
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Combinatorial algorithm for counting small induced graphs and orbits
Published in PloS one (09-02-2017)“…Graphlet analysis is an approach to network analysis that is particularly popular in bioinformatics. We show how to set up a system of linear equations that…”
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Democratized image analytics by visual programming through integration of deep models and small-scale machine learning
Published in Nature communications (07-10-2019)“…Analysis of biomedical images requires computational expertize that are uncommon among biomedical scientists. Deep learning approaches for image analysis…”
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Computation of Graphlet Orbits for Nodes and Edges in Sparse Graphs
Published in Journal of statistical software (01-07-2016)“…Graphlet analysis is a useful tool for describing local network topology around individual nodes or edges. A node or an edge can be described by a vector…”
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Algorithms for subsetting attribute values with Relief
Published in Machine learning (01-03-2010)“…Relief is a measure of attribute quality which is often used for feature subset selection. Its use in induction of classification trees and rules,…”
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Extreme value correction: a method for correcting optimistic estimations in rule learning
Published in Machine learning (01-02-2019)“…Machine learning algorithms rely on their ability to evaluate the constructed hypotheses for choosing the optimal hypothesis during learning and assessing the…”
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Seroprevalence of severe acute respiratory syndrome coronavirus 2 in Slovenia: results of two rounds of a nationwide population study on a probability-based sample, challenges and lessons learned
Published in Clinical microbiology and infection (01-07-2021)“…Seroprevalence surveys provide crucial information on cumulative severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) exposure. This Slovenian…”
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Visualization-based cancer microarray data classification analysis
Published in Bioinformatics (15-08-2007)“…Motivation: Methods for analyzing cancer microarray data often face two distinct challenges: the models they infer need to perform well when classifying new…”
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Extracting qualitative relations from categorical data
Published in Artificial intelligence (01-10-2016)“…Qualitative modeling is traditionally concerned with the abstraction of numerical data. In numerical domains, partial derivatives describe the relation between…”
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scOrange—a tool for hands-on training of concepts from single-cell data analytics
Published in Bioinformatics (15-07-2019)“…Abstract Motivation Single-cell RNA sequencing allows us to simultaneously profile the transcriptomes of thousands of cells and to indulge in exploring cell…”
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Interactive Network Exploration with Orange
Published in Journal of statistical software (01-04-2013)“…Network analysis is one of the most widely used techniques in many areas of modern science. Most existing tools for that purpose are limited to drawing…”
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FreeViz—An intelligent multivariate visualization approach to explorative analysis of biomedical data
Published in Journal of biomedical informatics (01-12-2007)“…Visualization can largely improve biomedical data analysis. It plays a crucial role in explorative data analysis and may support various data mining tasks. The…”
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Learning qualitative models from numerical data
Published in Artificial intelligence (01-06-2011)“…Qualitative models describe relations between the observed quantities in qualitative terms. In predictive modelling, a qualitative model tells whether the…”
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Concurrent software architectures for exploratory data analysis
Published in Wiley interdisciplinary reviews. Data mining and knowledge discovery (01-07-2015)“…Decades ago, increased volume of data made manual analysis obsolete and prompted the use of computational tools with interactive user interfaces and rich…”
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Open-Source Tools for Data Mining
Published in Clinics in laboratory medicine (01-03-2008)“…With a growing volume of biomedical databases and repositories, the need to develop a set of tools to address their analysis and support knowledge discovery is…”
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