Bernard Zenko

According to our database, Bernard Zenko authored at least 30 papers between 2001 and 2021.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2021

FOCUSED-Short-Term Wind Speed Forecast Correction Algorithm Based on Successive NWP Forecasts for Use in Traffic Control Decision Support Systems.

Zdravko Kunic, Bernard Zenko, Biljana Mileva-Boshkoska

Sensors, 2021

Improving Effectiveness of a Coaching System Through Preference Learning.

Martin Znidarsic, Aljaz Osojnik, Peter Rupnik, Bernard Zenko

Proceedings of the PETRA '21: The 14th PErvasive Technologies Related to Assistive Environments Conference, Virtual Event, Greece, 29 June, 2021

2019

Reconstructing dynamical networks via feature ranking.

Marc G. Leguia, Zoran Levnajic, Ljupco Todorovski, Bernard Zenko

CoRR, 2019

Social activity modelling and multimodal coaching for active aging.

Yordan Dimitrov, Zlatka Gospodinova, Richard Wheeler, Martin Znidarsic, Bernard Zenko, Vera Veleva, Nadejda Miteva

Proceedings of the 12th ACM International Conference on PErvasive Technologies Related to Assistive Environments, 2019

Multi-criteria Modelling Approach for Ambient Assisted Coaching of Senior Adults.

Martin Znidarsic, Bernard Zenko, Aljaz Osojnik, Marko Bohanec, Pance Panov, Helena Burger, Zlatko Matjacic, Mojca Debeljak

Proceedings of the 11th International Joint Conference on Knowledge Discovery, 2019

2018

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

Matej Petkovic, Redouane Boumghar, Martin Breskvar, Saso Dzeroski, Dragi Kocev, Jurica Levatic, Luke Lucas, Aljaz Osojnik, Bernard Zenko, Nikola Simidjievski

CoRR, 2018

MetaBags: Bagged Meta-Decision Trees for Regression.

Jihed Khiari, Luís Moreira-Matias, Ammar Shaker, Bernard Zenko, Saso Dzeroski

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

2017

Decoupling approximation robustly reconstructs directed dynamical networks.

Nikola Simidjievski, Jovan Tanevski, Bernard Zenko, Zoran Levnajic, Ljupco Todorovski, Saso Dzeroski

CoRR, 2017

A study of overfitting in optimization of a manufacturing quality control procedure.

Tea Tusar, Klemen Gantar, Valentin Koblar, Bernard Zenko, Bogdan Filipic

Appl. Soft Comput., 2017

2016

Clusters of male and female Alzheimer's disease patients in the Alzheimer's Disease Neuroimaging Initiative (ADNI) database.

Dragan Gamberger, Bernard Zenko, Alexis Mitelpunkt, Netta Shachar, Nada Lavrac

Brain Informatics, 2016

2015

Multilayer Clustering: Biomarker Driven Segmentation of Alzheimer's Disease Patient Population.

Dragan Gamberger, Bernard Zenko, Alexis Mitelpunkt, Nada Lavrac

Proceedings of the Bioinformatics and Biomedical Engineering, 2015

Text Detection in Document Images by Machine Learning Algorithms.

Darko Zelenika, Janez Povh, Bernard Zenko

Proceedings of the 9th International Conference on Computer Recognition Systems CORES 2015, 2015

Identification of Gender Specific Biomarkers for Alzheimer's Disease.

Dragan Gamberger, Bernard Zenko, Alexis Mitelpunkt, Nada Lavrac

Proceedings of the Brain Informatics and Health - 8th International Conference, 2015

2012

Multi-target regression with rule ensembles.

Timo Aho, Bernard Zenko, Saso Dzeroski, Tapio Elomaa

J. Mach. Learn. Res., 2012

Estimating the risk of fire outbreaks in the natural environment.

Daniela Stojanova, Andrej Kobler, Peter Ogrinc, Bernard Zenko, Saso Dzeroski

Data Min. Knowl. Discov., 2012

2011

Speeding-Up Hoeffding-Based Regression Trees With Options.

Elena Ikonomovska, João Gama, Bernard Zenko, Saso Dzeroski

Proceedings of the 28th International Conference on Machine Learning, 2011

Predictive models of forest development in Slovenia.

Marko Debeljak, Bernard Zenko, Ales Poljanec

Proceedings of the Innovations in Sharing Environmental Observations and Information: Proceedings of the 25th International Conference on Informatics for Environmental Protection, 2011

2010

Evaluation Method for Feature Rankings and their Aggregations for Biomarker Discovery.

Ivica Slavkov, Bernard Zenko, Saso Dzeroski

Proceedings of the third International Workshop on Machine Learning in Systems Biology, 2010

2009

Machine Learning, Ensemble Methods in.

Saso Dzeroski, Pance Panov, Bernard Zenko

Proceedings of the Encyclopedia of Complexity and Systems Science, 2009

Rule Ensembles for Multi-target Regression.

Timo Aho, Bernard Zenko, Saso Dzeroski

Proceedings of the ICDM 2009, 2009

2008

Learning Predictive Clustering Rules.

Bernard Zenko

Informatica (Slovenia), 2008

Learning Classification Rules for Multiple Target Attributes.

Bernard Zenko, Saso Dzeroski

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2008

2005

Learning Predictive Clustering Rules.

Bernard Zenko, Saso Dzeroski, Jan Struyf

Proceedings of the Knowledge Discovery in Inductive Databases, 4th International Workshop, 2005

2004

A report on the fourth international workshop on environmental applications of machine learning (EAML 2004).

Saso Dzeroski, Bernard Zenko, Marko Debeljak

SIGKDD Explor., 2004

Is Combining Classifiers with Stacking Better than Selecting the Best One?

Saso Dzeroski, Bernard Zenko

Mach. Learn., 2004

Relating personality traits and mercury exposure in miners with machine learning methods.

Bernard Zenko, Saso Dzeroski, Alfred B. Kobal, Darja Kobal Grum, Niko Arneri, Josko Osredkar, Milena Horvat

Proceedings of the Sh@ring: 18th International Conference "Informatics for Environmental Protection", 2004

2002

Stacking with Multi-response Model Trees.

Saso Dzeroski, Bernard Zenko

Proceedings of the Multiple Classifier Systems, Third International Workshop, 2002

Is Combining Classifiers Better than Selecting the Best One.

Saso Dzeroski, Bernard Zenko

Proceedings of the Machine Learning, 2002

Stacking with an Extended Set of Meta-level Attributes and MLR.

Bernard Zenko, Saso Dzeroski

Proceedings of the Machine Learning: ECML 2002, 2002

2001

A Comparison of Stacking with Meta Decision Trees to Bagging, Boosting, and Stacking with other Methods.

Bernard Zenko, Ljupco Todorovski, Saso Dzeroski

Proceedings of the 2001 IEEE International Conference on Data Mining, 29 November, 2001