Nada Lavrač

The multi-purpose incremental learning system AQ15 and its testing application to three medical domains

Ryszard S. Michalski, Igor Mozetič, Jiarong Hong et al. · National Conference on Artificial Intelligence · 1986 · 761 citations

Artificial Intelligence, Incremental Learning, Engineering +22

Selected techniques for data mining in medicine

Nada Lavrač · Artificial Intelligence in Medicine · 1999 · 351 citations

Evolutionary Data Mining, Engineering, Data Mining +7

Supervised Descriptive Rule Discovery: A Unifying Survey of Contrast Set, Emerging Pattern and Subgroup Mining

Petra Kralj Novak, Nada Lavrač, Geoffrey I. Webb · Journal of Machine Learning Research · 2009 · 332 citations

Engineering, Machine Learning, Pattern Discovery +17

Subgroup Discovery with CN2-SD

Nada Lavrač, Branko Kavšek, Peter Flach et al. · Bristol Research (University of Bristol) · 2004 · 309 citations

Artificial Intelligence, Engineering, Machine Learning +19

Stream-based active learning for sentiment analysis in the financial domain

Jasmina Smailović, Miha Grćar, Nada Lavrač et al. · Information Sciences · 2014 · 218 citations

Natural Language Processing, Engineering, Machine Learning +12