A Comparison of Stacking with Meta Decision Trees to Bagging, Boosting, and Stacking with other Methods. - Bernard Zenko; Ljupco Todorovski; Saso Dzeroski (ICDM, 2001)

Stacking with an Extended Set of Meta-level Attributes and MLR. - Bernard Zenko; Saso Dzeroski (ECML, 2002)

Is Combining Classifiers Better than Selecting the Best One. - Saso Dzeroski; Bernard Zenko (ICML, 2002)

Stacking with Multi-response Model Trees. - Saso Dzeroski; Bernard Zenko (Multiple Classifier Systems, 2002)

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 (EnviroInfo (1), 2004)

Is Combining Classifiers with Stacking Better than Selecting the Best One? - Saso Dzeroski; Bernard Zenko (Mach. Learn., 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)

Learning Predictive Clustering Rules. - Bernard Zenko; Saso Dzeroski; Jan Struyf (KDID, 2005)

Learning Classification Rules for Multiple Target Attributes. - Bernard Zenko; Saso Dzeroski (PAKDD, 2008)

Learning Predictive Clustering Rules. - Bernard Zenko (Informatica (Slovenia), 2008)

Rule Ensembles for Multi-target Regression. - Timo Aho; Bernard Zenko; Saso Dzeroski (ICDM, 2009)

Machine Learning, Ensemble Methods in. - Saso Dzeroski; Pance Panov; Bernard Zenko (Encyclopedia of Complexity and Systems Science, 2009)

Evaluation Method for Feature Rankings and their Aggregations for Biomarker Discovery. - Ivica Slavkov; Bernard Zenko; Saso Dzeroski (MLSB, 2010)

Predictive models of forest development in Slovenia. - Marko Debeljak; Bernard Zenko; Ales Poljanec (EnviroInfo, 2011)

Speeding-Up Hoeffding-Based Regression Trees With Options. - Elena Ikonomovska; João Gama 001; Bernard Zenko; Saso Dzeroski (ICML, 2011)

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)

Multi-target regression with rule ensembles. - Timo Aho; Bernard Zenko; Saso Dzeroski; Tapio Elomaa (J. Mach. Learn. Res., 2012)

Identification of Gender Specific Biomarkers for Alzheimer's Disease. - Dragan Gamberger; Bernard Zenko; Alexis Mitelpunkt; Nada Lavrac (BIH, 2015)

Text Detection in Document Images by Machine Learning Algorithms. - Darko Zelenika; Janez Povh; Bernard Zenko (CORES, 2015)

Multilayer Clustering: Biomarker Driven Segmentation of Alzheimer's Disease Patient Population. - Dragan Gamberger; Bernard Zenko; Alexis Mitelpunkt; Nada Lavrac (IWBBIO (1), 2015)

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)

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)

Decoupling approximation robustly reconstructs directed dynamical networks. - Nikola Simidjievski; Jovan Tanevski; Bernard Zenko; Zoran Levnajic; Ljupco Todorovski; Saso Dzeroski (CoRR, 2017)

MetaBags: Bagged Meta-Decision Trees for Regression. - Jihed Khiari; Luís Moreira-Matias; Ammar Shaker; Bernard Zenko; Saso Dzeroski (ECML/PKDD (1), 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)

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 (KEOD, 2019)

Social activity modelling and multimodal coaching for active aging. - Yordan Dimitrov; Zlatka Gospodinova; Richard Wheeler; Martin Znidarsic; Bernard Zenko; Vera Veleva; Nadejda Miteva (PETRA, 2019)

Reconstructing dynamical networks via feature ranking. - Marc G. Leguia; Zoran Levnajic; Ljupco Todorovski; Bernard Zenko (CoRR, 2019)

Improving Effectiveness of a Coaching System Through Preference Learning. - Martin Znidarsic; Aljaz Osojnik; Peter Rupnik; Bernard Zenko (PETRA, 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)