Bernard Zenko

Publication Activity (10 Years)

Years Active: 2001-2021
Publications (10 Years): 14

Top Topics

Machine Learning Algorithms

Traffic Control

Document Images

Top Venues

Publications

Martin Znidarsic, Aljaz Osojnik, Peter Rupnik, Bernard Zenko
Improving Effectiveness of a Coaching System Through Preference Learning. PETRA (2021)
Zdravko Kunic, Bernard Zenko, Biljana Mileva-Boshkoska
FOCUSED-Short-Term Wind Speed Forecast Correction Algorithm Based on Successive NWP Forecasts for Use in Traffic Control Decision Support Systems. Sensors 21 (10) (2021)
Yordan Dimitrov, Zlatka Gospodinova, Richard Wheeler, Martin Znidarsic, Bernard Zenko, Vera Veleva, Nadejda Miteva
Social activity modelling and multimodal coaching for active aging. PETRA (2019)
Marc G. Leguia, Zoran Levnajic, Ljupco Todorovski, Bernard Zenko
Reconstructing dynamical networks via feature ranking. CoRR (2019)
Martin Znidarsic, Bernard Zenko, Aljaz Osojnik, Marko Bohanec, Pance Panov, Helena Burger, Zlatko Matjacic, Mojca Debeljak
Multi-criteria Modelling Approach for Ambient Assisted Coaching of Senior Adults. KEOD (2019)
Jihed Khiari, Luís Moreira-Matias, Ammar Shaker, Bernard Zenko, Saso Dzeroski
MetaBags: Bagged Meta-Decision Trees for Regression. CoRR (2018)
Jihed Khiari, Luís Moreira-Matias, Ammar Shaker, Bernard Zenko, Saso Dzeroski
MetaBags: Bagged Meta-Decision Trees for Regression. ECML/PKDD (1) (2018)
Matej Petkovic, Redouane Boumghar, Martin Breskvar, Saso Dzeroski, Dragi Kocev, Jurica Levatic, Luke Lucas, Aljaz Osojnik, Bernard Zenko, Nikola Simidjievski
Machine learning for predicting thermal power consumption of the Mars Express Spacecraft. CoRR (2018)
Nikola Simidjievski, Jovan Tanevski, Bernard Zenko, Zoran Levnajic, Ljupco Todorovski, Saso Dzeroski
Decoupling approximation robustly reconstructs directed dynamical networks. CoRR (2017)
Tea Tusar, Klemen Gantar, Valentin Koblar, Bernard Zenko, Bogdan Filipic
A study of overfitting in optimization of a manufacturing quality control procedure. Appl. Soft Comput. 59 (2017)
Dragan Gamberger, Bernard Zenko, Alexis Mitelpunkt, Netta Shachar, Nada Lavrac
Clusters of male and female Alzheimer's disease patients in the Alzheimer's Disease Neuroimaging Initiative (ADNI) database. Brain Informatics 3 (3) (2016)
Darko Zelenika, Janez Povh, Bernard Zenko
Text Detection in Document Images by Machine Learning Algorithms. CORES (2015)
Dragan Gamberger, Bernard Zenko, Alexis Mitelpunkt, Nada Lavrac
Multilayer Clustering: Biomarker Driven Segmentation of Alzheimer's Disease Patient Population. IWBBIO (1) (2015)
Dragan Gamberger, Bernard Zenko, Alexis Mitelpunkt, Nada Lavrac
Identification of Gender Specific Biomarkers for Alzheimer's Disease. BIH (2015)
Daniela Stojanova, Andrej Kobler, Peter Ogrinc, Bernard Zenko, Saso Dzeroski
Estimating the risk of fire outbreaks in the natural environment. Data Min. Knowl. Discov. 24 (2) (2012)
Timo Aho, Bernard Zenko, Saso Dzeroski, Tapio Elomaa
Multi-target regression with rule ensembles. J. Mach. Learn. Res. 13 (2012)
Elena Ikonomovska, João Gama, Bernard Zenko, Saso Dzeroski
Speeding-Up Hoeffding-Based Regression Trees With Options. ICML (2011)
Marko Debeljak, Bernard Zenko, Ales Poljanec
Predictive models of forest development in Slovenia. EnviroInfo (2011)
Ivica Slavkov, Bernard Zenko, Saso Dzeroski
Evaluation Method for Feature Rankings and their Aggregations for Biomarker Discovery. MLSB (2010)
Timo Aho, Bernard Zenko, Saso Dzeroski
Rule Ensembles for Multi-target Regression. ICDM (2009)
Bernard Zenko
Learning Predictive Clustering Rules. Informatica (Slovenia) 32 (1) (2008)
Bernard Zenko, Saso Dzeroski
Learning Classification Rules for Multiple Target Attributes. PAKDD (2008)
Bernard Zenko, Saso Dzeroski, Jan Struyf
Learning Predictive Clustering Rules. KDID (2005)
Saso Dzeroski, Bernard Zenko, Marko Debeljak
A report on the fourth international workshop on environmental applications of machine learning (EAML 2004). SIGKDD Explor. 6 (2) (2004)
Bernard Zenko, Saso Dzeroski, Alfred B. Kobal, Darja Kobal Grum, Niko Arneri, Josko Osredkar, Milena Horvat
Relating personality traits and mercury exposure in miners with machine learning methods. EnviroInfo (1) (2004)
Saso Dzeroski, Bernard Zenko
Is Combining Classifiers with Stacking Better than Selecting the Best One? Mach. Learn. 54 (3) (2004)
Bernard Zenko, Saso Dzeroski
Stacking with an Extended Set of Meta-level Attributes and MLR. ECML (2002)
Saso Dzeroski, Bernard Zenko
Stacking with Multi-response Model Trees. Multiple Classifier Systems (2002)
Saso Dzeroski, Bernard Zenko
Is Combining Classifiers Better than Selecting the Best One. ICML (2002)
Bernard Zenko, Ljupco Todorovski, Saso Dzeroski
A Comparison of Stacking with Meta Decision Trees to Bagging, Boosting, and Stacking with other Methods. ICDM (2001)