Sašo Džeroski

发表

Hierarchical multi-classification

Maurice Bruynooghe, Jan Ramon, Hendrik Blockeel, 2002, KDD 2002.

Noise Elimination Applied to Early Diagnosis of Rheumatic Diseases

Dragan Gamberger, Nada Lavrač, Sašo Džeroski, 1997 .

Diterpene Structure Elucidation from 13C NMR-Spectra with Machine Learning

Sašo Džeroski, Steffen Schulze-Kremer, Karsten R. Heidtke, 1997 .

Using the m -estimate in rule induction

Sašo Džeroski, Bojan Cestnik, Igor Petrovski, 1993 .

Handling imperfect data in inductive logic programming

Sašo Džeroski, S. Džeroski, 1993 .

Applications of symbolic machine learning to ecological modelling

Sašo Džeroski, S. Džeroski, 2001 .

Multi-label feature ranking with ensemble methods

Sašo Džeroski, Dragi Kocev, Matej Petković, 2020, Machine Learning.

Machine learning : proceedings of the Sixteenth International Conference (ICML '99), Bled, Slovenia, June 27-30, 1999

Ivan Bratko, Sašo Džeroski, 1999 .

Knowledge Discovery in Inductive Databases, 5th International Workshop, KDID 2006, Berlin, Germany, September 18, 2006, Revised Selected and Invited Papers

Sašo Džeroski, Jan Struyf, Kdid, 2007, KDID.

Low-Cost Environmental and Motion Sensor Data for Complex Activity Recognition: Proof of Concept

Sašo Džeroski, Denis Sarigiannis, Rok Novak, 2020 .

Computational Discovery of Scientific Knowledge, Introduction, Techniques, and Applications in Environmental and Life Sciences

Sašo Džeroski, Ljupčo Todorovski, S. Džeroski, 2007, Computational Discovery of Scientific Knowledge.

Modeling the risk of water pollution by pesticides from imbalanced data

Sašo Džeroski, Marko Debeljak, Aneta Trajanov, 2018, Environmental Science and Pollution Research.

Using equation discovery to revise an Earth ecosystem model of the carbon net production

Pat Langley, Sašo Džeroski, Ljupčo Todorovski, 2003 .

Process-based design of dynamical biological systems

Sašo Džeroski, Jovan Tanevski, Ljupčo Todorovski, 2016, Scientific Reports.

Repetitive interpolation: A robust algorithm for DTM generation from Aerial Laser Scanner Data in forested terrain☆

Norbert Pfeifer, Sašo Džeroski, Krištof Oštir, 2007 .

Predicting long-term population dynamics with bagging and boosting of process-based models

Nikola Simidjievski, Sašo Džeroski, Ljupčo Todorovski, 2015, Expert Syst. Appl..

Discovery Science

Sašo Džeroski, Ljupco Todorovski, Dragi Kocev, 2014, Lecture Notes in Computer Science.

EditorialThe Fourth International Workshop on Environmental Applications of Machine Learning, 27 September–1 October 2004, Bled, Slovenia

Sašo Džeroski, Marko Debeljak, Bernard Ženko, 2006 .

Decision Trees in Ecological Modelling

Sašo Džeroski, Marko Debeljak, 2011 .

Special issue on inductive logic programming 97

Masayuki Numao, Sašo Džeroski, Nada Lavrač, 2009, New Generation Computing.

APPROXIMATE BAYESIAN PARAMETER INFERENCE FOR DYNAMICAL SYSTEMS IN SYSTEMS BIOLOGY

Sašo Džeroski, Jovan Tanevski, Ljupčo Kocarev, 2017 .

An Introduction to Inductive Logic Programming

Nada Lavrač, Sašo Džeroski, S. Džeroski, 2001 .

On the use of machine learning methods to study the relationships between tree-ring characteristics and the environment

Sašo Džeroski, Tom Levanič, Jernej Jevšenak, 2017 .

Learning Language in Logic

James Cussens, Sašo Džeroski, S. Džeroski, 2001, Lecture Notes in Computer Science.

Habitat mapping using machine learning-extended kernel-based reclassification of an Ikonos satellite image

Iphigenia Keramitsoglou, Sašo Džeroski, Andrej Kobler, 2006 .

Discovery Science: 22nd International Conference, DS 2019, Split, Croatia, October 28–30, 2019, Proceedings

Petra Kralj Novak, Sašo Džeroski, Tomislav Šmuc, 2019, DS.

Application of automated model discovery from data and expert knowledge to a real-world domain: Lake Glumsø

Sašo Džeroski, Boris Kompare, Nataša Atanasova, 2008 .

Proceedings of the Third International Workshop on Machine Learning in Systems Biology: Revised Selected Papers

Juho Rousu, Pierre Geurts, Sašo Džeroski, 2009 .

Napovedovanje funkcij genov z induktivnim logicnim programiranjem in drevesi za napovedno razvrscanje

Celine Vens, Hendrik Blockeel, Sašo Džeroski, 2005 .

Modelling and prediction of phytoplankton growth with equation discovery

Sašo Džeroski, Boris Kompare, Ljupčo Todorovski, 1998 .

Constructing a library of domain knowledge for automated modelling of aquatic ecosystems

Sašo Džeroski, Boris Kompare, Nataša Atanasova, 2006 .

Discovery Science: 17th International Conference, DS 2014, Bled, Slovenia, October 8-10, 2014, Proceedings

Sašo Džeroski, Dragi Kocev, Panˇe Panov, 2014 .

Machine Learning and Knowledge Discovery in Databases

Michelangelo Ceci, Donato Malerba, Yuzuru Tanaka, 2017, Lecture Notes in Computer Science.

Analyzing time series gene expression data with predictive clustering rules

Bernard Zenko, Sašo Džeroski, Jan Struyf, 2009, ICML 2009.

Improved medical image modality classification using a combination of visual and textual features

Sašo Džeroski, Ivan Kitanovski, Ivica Dimitrovski, 2015, Comput. Medical Imaging Graph..

Learning ensembles of population dynamics models and their application to modelling aquatic ecosystems

Nikola Simidjievski, Sašo Džeroski, Ljupčo Todorovski, 2015 .

Constrained clustering of gene expression profiles

Sašo Džeroski, Jan Struyf, Suzana Loskovska, 2005 .

Using machine learning techniques in the construction of models. II. Data analysis with rule induction

Sašo Džeroski, Boris Kompare, W. J. Walley, 1997 .

Biological Monitoring: a Comparison between Bayesian, Neural and Machine Learning Methods of Water Quality Classification.

Sašo Džeroski, W. J. Walley, S. Džeroski, 1996 .

Using machine learning techniques in the construction of models I. Introduction

Ivan Bratko, Sašo Džeroski, Boris Kompare, 1994 .

Modeling Dynamic Systems with Efficient Ensembles of Process-Based Models

Nikola Simidjievski, Sašo Džeroski, Ljupčo Todorovski, 2016, PloS one.

A comparison of fuzzy identification methods on benchmark datasets

Sašo Džeroski, Juš Kocijan, Darko Aleksovski, 2016 .

Applying predictive clustering trees to the inductive logic programming 2005 challenge data

Celine Vens, Hendrik Blockeel, Sašo Džeroski, 2005 .

Proceedings of the 5th international conference on Knowledge discovery in inductive databases

Sašo Džeroski, Jan Struyf, 2006 .

Semi-supervised regression trees with application to QSAR modelling

Michelangelo Ceci, Sašo Džeroski, Dragi Kocev, 2020, Expert Syst. Appl..

Exploiting partially-labeled data in learning predictive clustering trees for multi-target regression: A case study of water quality assessment in Ireland

Sašo Džeroski, Dragi Kocev, Stevanche Nikoloski, 2020, Ecol. Informatics.

Inductive) Quering environment for predictive clustering trees

Sašo Džeroski, Jan Struyf, Suzana Loskovska, 2005 .

Machine Learning and Knowledge Discovery in Databases

Michelangelo Ceci, Donato Malerba, Taneli Mielikäinen, 2017, Lecture Notes in Computer Science.

Modeling the Dynamics of Biological Networks from Time Course Data

Sašo Džeroski, Ljupčo Todorovski, S. Džeroski, 2010 .

Encoding and Using Domain Knowledge on Population Dynamics for Equation Discovery

Sašo Džeroski, Ljupčo Todorovski, S. Džeroski, 2002 .

Phenotype prediction with semi-supervised learning

Sašo Džeroski, Dragi Kocev, Tomislav Šmuc, 2017, PKDD 2017.

Design and Simulation of Stormwater Control Measures Using Automated Modeling

Sašo Džeroski, Nataša Atanasova, Ljupčo Todorovski, 2021, Water.

Modelling the outcrossing between genetically modified and conventional maize with equation discovery

Sašo Džeroski, Aneta Ivanovska, Marko Debeljak, 2009 .

The use of the label hierarchy in HMC improves performance : A case study in predicting community structure in ecology

Sašo Džeroski, Dragi Kocev, Jurica Levatić, 2013 .

A qualitative multi-attribute model for economic and ecological assessment of genetically modified crops

Marko Bohanec, Sašo Džeroski, Antoine Messean, 2008 .

Computational Assemblage of Ordinary Differential Equations for Chlorophyll-a Using a Lake Process Equation Library and Measured Data of Lake Kasumigaura

Friedrich Recknagel, Sašo Džeroski, Boris Kompare, 2006 .

The influence of parameter fitting methods on model structure selection in automated modeling of aquatic ecosystems

Sašo Džeroski, Nataša Atanasova, Ljupčo Todorovski, 2012 .

Expanding the OntoDM ontology with network analysis tasks and algorithms

Jan Kralj, Sašo Džeroski, S. Džeroski, 2015 .

Identification of radon anomalies in soil gas using decision trees and neural networks

Sašo Džeroski, Drago Torkar, B. Zmazek, 2010 .

Parameter estimation in a nonlinear dynamic model of an aquatic ecosystem with meta-heuristic optimization

Sašo Džeroski, Jurij Šilc, Nataša Atanasova, 2012 .

Using relational decision trees to model out-crossing rates in a multi-field setting

Daniela Stojanova, Sašo Džeroski, Marko Debeljak, 2012 .

Learning habitat models for the diatom community in Lake Prespa

Sašo Džeroski, Dragi Kocev, Andreja Naumoski, 2010 .

Automated modelling of a food web in lake Bled using measured data and a library of domain knowledge

Friedrich Recknagel, Sašo Džeroski, Boris Kompare, 2006 .

Predictive model for the quantitative analysis of human skin using photothermal radiometry and diffuse reflectance spectroscopy.

Boris Majaron, Sašo Džeroski, Jovan Tanevski, 2020, Biomedical optics express.

Production of Secondary Metabolites in Extreme Environments: Food- and Airborne Wallemia spp. Produce Toxic Metabolites at Hypersaline Conditions

Sašo Džeroski, Dragi Kocev, S. Džeroski, 2016, PloS one.

Learning population dynamics models from data and domain knowledge

Sašo Džeroski, Ljupčo Todorovski, S. Džeroski, 2003 .

Using data mining to predict soil quality after application of biosolids in agriculture.

Sašo Džeroski, Marko Debeljak, Dragi Kocev, 2011, Journal of environmental quality.

Analysis of time series data on agroecosystem vegetation using predictive clustering trees

Cathy Hawes, Sašo Džeroski, Marko Debeljak, 2011 .

Application of machine learning techniques to the analysis of soil ecological data bases: relationships between habitat features and Collembolan community characteristics

Ralf Wieland, Sašo Džeroski, Christian Kampichler, 2000 .

Automatic construction of concept hierarchies: The case of foliage-dwelling spiders

Aleks Jakulin, Sašo Džeroski, Martin Žnidaršič, 2006 .

Knowledge Discovery in Neuroblastoma-related Biological Data

Sašo Džeroski, Arno Knobbe, Kathy Astrahantseff, 2007 .

Extending ReliefF for Hierarchical Multi-label Classification ?

Sašo Džeroski, Slobodan Kalajdziski, Dragi Kocev, 2013 .

Modeling and prediction of phytoplankton growth with equation discovery: case study — Lake Glumsø, Denmark

Sašo Džeroski, Boris Kompare, Ljupčo Todorovski, 2001 .

Characterizing the presence of oilseed rape feral populations on field margins using machine learning

Sašo Džeroski, Marko Debeljak, S. Džeroski, 2008 .

Feature ranking for multi-label classiﬁcation using predictive clustering trees

Sašo Džeroski, Dragi Kocev, S. Džeroski, 2013 .

Using regression trees to identify the habitat preference of the sea cucumber (Holothuria leucospilota) on Rarotonga, Cook Islands

Sašo Džeroski, S. Džeroski, Darrin J. Drumm, 2003 .

Radon in soil gas: How to identify anomalies caused by earthquakes

Sašo Džeroski, Ljupčo Todorovski, B. Zmazek, 2005 .

A Functional Programming Approach to Distance-based Machine Learning

Sašo Džeroski, Martin Erwig, Darko Aleksovski, 2008 .

Equation discovery with ecological applications

Ivan Bratko, Sašo Džeroski, Boris Kompare, 1999 .

Modeling the brown bear population in Slovenia: A tool in the conservation management of a threatened species

Sašo Džeroski, Marko Debeljak, Andrej Kobler, 2003 .

Radon as an Earthquake Precursor – Methods for Detecting Anomalies

Sašo Džeroski, Drago Torkar, B. Zmazek, 2012 .

Estimating Drainage Periods for Agricultural Fields from Measured Data: Data‐Mining Methodology and a Case Study (La JailliÈRe, France)

Sašo Džeroski, Marko Debeljak, Aneta Trajanov, 2015 .

Hierarchical classification of environmental factors and agricultural practices affecting soil fauna under cropping systems using Bt maize

Sašo Džeroski, Marko Debeljak, Paul Henning Krogh, 2007 .

Relations between the oilseed rape volunteer seedbank, and soil factors, weed functional groups and geographical location in the UK

Sašo Džeroski, Marko Debeljak, Mark W. Young, 2008 .