| The multi-purpose incremental learning system AQ15 and its testing application to three medical domains RS Michalski, I Mozetic, J Hong, N Lavrac Proc. AAAI 1986, 1-041, 1986 | 1175 | 1986 |
| Sentiment of Emojis P Kralj Novak, J Smailovic, B Sluban, I Mozetic PLoS ONE 10 (12), e0144296, 2015 | 839 | 2015 |
| The effects of Twitter sentiment on stock price returns G Ranco, D Aleksovski, G Caldarelli, M Grčar, I Mozetič PLoS ONE 10 (9), e0138441, 2015 | 381 | 2015 |
| KARDIO: A Study in Deep and Qualitative Knowledge for Expert Systems N Bratko, I, Mozetic, I., Lavrac MIT Press, Cambridge, MA, 1989 | 257 | 1989 |
| The AQ15 inductive learning system: an overview and experiments RS Michalski, I Mozetic, J Hong, N Lavrac | 242 | 1986 |
| Emotional Dynamics in the Age of Misinformation F Zollo, P Kralj Novak, M Del Vicario, A Bessi, I Mozetič, A Scala, ... PLoS ONE 10 (9), e0138740, 2015 | 203 | 2015 |
| Multilingual Twitter Sentiment Classification: The Role of Human Annotators I Mozetic, M Grcar, J Smailovic PLoS ONE 11 (5), e0155036, 2016 | 190 | 2016 |
| Hierarchical model-based diagnosis I Mozetič International Journal of Man-Machine Studies 35 (3), 329-362, 1991 | 170 | 1991 |
| GoMapMan: integration, consolidation and visualization of plant gene annotations within the MapMan ontology ® Ramąak, © Baebler, A Rotter, M Korbar, I Mozetič, B Usadel, K Gruden Nucleic Acids Research 42 (D1), D1167-D1175, 2014 | 97 | 2014 |
| Stance and influence of Twitter users regarding the Brexit referendum M Grčar, D Cherepnalkoski, I Mozetič, P Kralj Novak Computational social networks 4 (1), 1-25, 2017 | 89 | 2017 |
| Lemmagen: Multilingual lemmatisation with induced ripple-down rules M Jurąic, I Mozetic, T Erjavec, N Lavrac Journal of Universal Computer Science 16 (9), 1190-1214, 2010 | 89 | 2010 |
| Evaluating time series forecasting models: An empirical study on performance estimation methods V Cerqueira, L Torgo, I Mozetič Machine Learning, 1997-2028, 2020 | 88 | 2020 |
| Aq15: Incremental learning of attribute-based descriptions from examples: The method and user's guide J Hong, I Mozetic, RS Michalski | 73 | 1986 |
| An ontology for virtual organization breeding environments J Plisson, P Ljubic, I Mozetic, N Lavrac IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and …, 2007 | 67 | 2007 |
| Monitoring the Twitter sentiment during the Bulgarian elections J Smailović, J Kranjc, M Grčar, M ®nidarąič, I Mozetič IEEE Intl. Conf. on Data Science and Advanced Analytics, 1-10, 2015 | 59 | 2015 |
| Cohesion and Coalition Formation in the European Parliament: Roll-Call Votes and Twitter Activities D Cherepnalkoski, A Karpf, I Mozetic, M Grcar PLoS ONE 11 (11), e0166586, 2016 | 51 | 2016 |
| Sentiment leaning of influential communities in social networks B Sluban, J Smailović, S Battiston, I Mozetič Computational Social Networks 2, 9, 2015 | 43 | 2015 |
| Automatic synthesis and compression of cardiological knowledge I Bratko, I Mozetic, N Lavrac Machine intelligence 11, 435-454, 1988 | 43 | 1988 |
| Cohesiveness in Financial News and its Relation to Market Volatility M Piąkorec, N Antulov-Fantulin, P Kralj Novak, I Mozetič, M Grčar, ... Scientific reports 4, 5038-1-8, 2014 | 42 | 2014 |
| The role of abstractions in learning qualitative models I Mozetic Proceedings of the Fourth International Workshop on Machine Learning, 242-255, 1987 | 41 | 1987 |
Nada LavracJozef Stefan InstituteE-mail megerősítve itt: ijs.si
