Sašo Džeroski - Concepedia

Author

Sašo Džeroski

Also Known As

Altun, Yasemin, Brugger, Jannis, Ceci, Michelangelo, D&zcaron;eroski Sa&scaron;o, D\v{z}eroski, Sa\v{s}o, Dzeroski, S, Dzeroski, Saso, DÅ¾eroski, SaÅ¡o, Džeroski Sašo, Džeroski, Saso

600

Publications

19.4K

Citations

H-Index

282

Concepts

All Affiliations

Jožef Stefan Institute Jožef Stefan International Postgraduate School University of Ljubljana Centre of Excellence for Integrated Approaches in Chemistry and Biology of Proteins KU Leuven

About

Sašo Džeroski is an author at Jožef Stefan Institute specializing in engineering, data science, and knowledge discovery.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	47	116	8.6K
2	Business	7	7	252
3	Health Sciences	4	4	358
4	Language Studies	2	2	79
5	Education	1	1	10

Sašo Džeroski

193

Publications

14.2K

Citations

H-Index

Page 1

	Year	Citations
A large-scale evaluation of computational protein function prediction Predrag Radivojac, Wyatt T. Clark, Tal Oron, Nature Methods	2013	1.1K
Is Combining Classifiers with Stacking Better than Selecting the Best One? Sašo Džeroski, Bernard Ženko Machine Learning Ensemble AlgorithmMultiple Classifier SystemClassifier SystemBest One	2004	873
An extensive experimental comparison of methods for multi-label learning Gjorgji Madjarov, Dragi Kocev, Dejan Gjorgjevikj, Pattern Recognition Semi-supervised LearningMultiple Instance LearningEngineeringMachine LearningData Science	2012	727
Decision trees for hierarchical multi-label classification Celine Vens, Jan Struyf, Leander Schietgat, Machine Learning EngineeringInformation RetrievalData ScienceData MiningPattern Recognition	2008	641
Proceedings of the 22nd international conference on Machine learning Sašo Džeroski, Luc De Raedt, Stefan Wrobel Artificial IntelligenceEngineeringMachine LearningAlgorithmic LearningIntelligent Systems	2005	526
The CAFA challenge reports improved protein function prediction and new functional annotations for hundreds of genes through experimental screens Naihui Zhou, Yuxiang Jiang, Timothy Bergquist, Genome biology	2019	459
The MONK's problems: A Performance Comparison of Different Learning Algorithms Sebastian Thrun, Jerzy Bala, Eric Bloedorn, Artificial IntelligenceIntelligent Information ProcessingCognitive ScienceEngineeringMachine Learning	1991	452
Relational Reinforcement Learning Sašo Džeroski, Luc De Raedt, Kurt Driessens Machine Learning	2001	377
Learning model trees from evolving data streams Elena Ikonomovska, João Gama, Sašo Džeroski Data Mining and Knowledge Discovery EngineeringMachine LearningData ScienceData MiningConcept Drift	2010	290
Tree ensembles for predicting structured outputs Dragi Kocev, Celine Vens, Jan Struyf, Pattern Recognition Natural Language ProcessingEngineeringMachine LearningData ScienceData Mining	2012	265

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