Nada Lavrac
Nada Lavrac
Verified email at
Cited by
Cited by
Inductive Logic Programming.
N Lavrac, S Dzeroski
WLP, 146-160, 1994
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
Subgroup discovery with CN2-SD
N Lavrac, B Kavsek, P Flach, L Todorovski
J. Mach. Learn. Res. 5 (2), 153-188, 2004
Rule evaluation measures: A unifying view
N Lavrač, P Flach, B Zupan
International conference on inductive logic programming, 174-185, 1999
Foundations of rule learning
J Fürnkranz, D Gamberger, N Lavrač
Springer Science & Business Media, 2012
Supervised descriptive rule discovery: A unifying survey of contrast set, emerging pattern and subgroup mining.
PK Novak, N Lavrač, GI Webb
Journal of Machine Learning Research 10 (2), 2009
Selected techniques for data mining in medicine
N Lavrač
Artificial intelligence in medicine 16 (1), 3-23, 1999
Informal identification of outliers in medical data
J Laurikkala, M Juhola, E Kentala, N Lavrac, S Miksch, B Kavsek
Fifth international workshop on intelligent data analysis in medicine and …, 2000
Propositionalization approaches to relational data mining
S Kramer, N Lavrač, P Flach
Relational data mining, 262-291, 2001
A rule based approach to word lemmatization
J Plisson, N Lavrac, D Mladenic
Proceedings of IS 3, 83-86, 2004
APRIORI-SD: Adapting association rule learning to subgroup discovery
B Kavšek, N Lavrač
Applied Artificial Intelligence 20 (7), 543-583, 2006
Stream-based active learning for sentiment analysis in the financial domain
J Smailović, M Grčar, N Lavrač, M Žnidaršič
Information sciences 285, 181-203, 2014
Expert-guided subgroup discovery: Methodology and application
D Gamberger, N Lavrac
Journal of Artificial Intelligence Research 17, 501-527, 2002
KARDIO: a study in deep and qualitative knowledge for expert systems
I Bratko, I Mozetič, N Lavrač
MIT press, 1990
Learning nonrecursive definitions of relations with LINUS
N Lavrač, S Džeroski, M Grobelnik
Machine Learning—EWSL-91: European Working Session on Learning Porto …, 1991
Experiments with noise filtering in a medical domain
D Gamberger, N Lavrac, C Groselj
ICML 99, 143-151, 1999
The AQ15 inductive learning system: an overview and experiments
RS Michalski
Technical report, MLI-86-6, Machine Learning and Inference Laboratory …, 1986
Comparative evaluation of approaches to propositionalization
MA Krogel, S Rawles, F Železný, PA Flach, N Lavrač, S Wrobel
International Conference on Inductive Logic Programming, 197-214, 2003
Predictive sentiment analysis of tweets: A stock market application
J Smailović, M Grčar, N Lavrač, M Žnidaršič
Human-Computer Interaction and Knowledge Discovery in Complex, Unstructured …, 2013
Noise detection and elimination in data preprocessing: experiments in medical domains
D Gamberger, N Lavrac, S Dzeroski
Applied artificial intelligence 14 (2), 205-223, 2000
The system can't perform the operation now. Try again later.
Articles 1–20