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Note: Links lead to the DBLP on the Web. Nada Lavrac 50 Peter A. Flach , Nada Lavrac: Learning in Clausal Logic: A Perspective on Inductive Logic Programming. Computational Logic: Logic Programming and Beyond 2002 : 437-471 49 Nada Lavrac, Peter A. Flach , Branko Kavsek , Ljupco Todorovski : Adapting classification rule induction to subgroup discovery. ICDM 2002 : 266-273 48 Dragan Gamberger , Nada Lavrac: Descriptive Induction through Subgroup Discovery: A Case Study in a Medical Domain. ICML 2002 : 163-170 47 Nada Lavrac, Filip Zelezný , Peter A. Flach : RSD: Relational Subgroup Discovery through First-Order Feature Construction. ILP 2002 : 149-165 46 Dragan Gamberger , Nada Lavrac: Generating Actionable Knowledge by Expert-Guided Subgroup Discovery. PKDD 2002 : 163-174 45 Nada Lavrac: Virtual Enterprise for Data Mining and Decision Support. PRO-VE 2002 44 Dragan Gamberger , Nada Lavrac: Expert-Guided Subgroup Discovery: Methodology and Application. Journal of Artificial Intelligence Research 17 : 501-527 (2002) 43 Branko Kavsek , Nada Lavrac, Anuska Ferligoj : Consensus Decision Trees: Using Consensus Hierarchical Clustering for Data Relabelling and Reduction. ECML 2001 : 251-262 42 Viktor Jovanoski , Nada Lavrac: Classification Rule Learning with APRIORI-C. EPIA 2001 : 44-51 41 Elpida T. Keravnou , Nada Lavrac: AIM portraits: tracing the evolution of artificial intelligence in medicine and predicting its future in the new millennium. Artificial Intelligence in Medicine 23 (1): 1-4 (2001) 40 Nada Lavrac, Peter A. Flach : An extended transformation approach to inductive logic programming. TOCL 2 (4): 458-494 (2001) 39 Dragan Gamberger , Nada Lavrac, Goran Krstacic , Tomislav Smuc : Inconsistency Tests for Patient Records in a Coronary Heart Disease Database. ISMDA 2000 : 183-189 38 Ljupco Todorovski , Peter A. Flach , Nada Lavrac: Predictive Performance of Weghted Relative Accuracy. PKDD 2000 : 255-264 37 Dragan Gamberger , Nada Lavrac: Confirmation Rule Sets. PKDD 2000 : 34-43 36 Dragan Gamberger , Nada Lavrac, Saso Dzeroski : Noise Detection and Elimination in data Proprocessing: Experiments in Medical Domains. Applied Artificial Intelligence 14 (2): 205-223 (2000) 35 Dragan Gamberger , Nada Lavrac, Ciril Groselj : Diagnostic Rules of Increased Reliability for Critical Medical Applications. AIMDM 1999 : 361-365 34 Nada Lavrac: Machine Learning for Data Mining in Medicine. AIMDM 1999 : 47-64 33 Nada Lavrac: Challenges for Inductive Logic Programming. EPIA 1999 : 16-33 32 Dragan Gamberger , Nada Lavrac, Ciril Groselj : Experiments with Noise Filtering in a Medical Domain. ICML 1999 : 143-151 31 Nada Lavrac, Peter A. Flach , Blaz Zupan : Rule Evaluation Measures: A Unifying View. ILP 1999 : 174-185 30 Nada Lavrac: Selected techniques for data mining in medicine. Artificial Intelligence in Medicine 16 (1): 3-23 (1999) 29 Saso Dzeroski , Nada Lavrac: Editorial. Data Mining and Knowledge Discovery 3 (1): 5-6 (1999) 28 Nada Lavrac, Dragan Gamberger , Viktor Jovanoski : A Study of Relevance for Learning in Deductive Databases. JLP 40 (2-3): 215-249 (1999) 27 Nada Lavrac, Saso Dzeroski , Masayuki Numao : Inductive Logic Programming for Relational Knowledge Discovery. New Generation Computing 17 (1): 3-23 (1999) 26 Nada Lavrac: Inductive Logic Programming for Relational Knowledge Discovery. IJCSLP 1998 : 7-24 25 Nada Lavrac, Blaz Zupan , Igor Kononenko , Matjaz Kukar , Elpida T. Keravnou : Intelligent Data Analysis for Medical Diagnosis: Using Machine Learning and Temporal Abstraction. AI Communications 11 (3-4): 191-218 (1998) 24 Nada Lavrac, Dragan Gamberger , Peter D. Turney : A Relevancy Filter for Constructive Induction. IEEE Intelligent Systems 13 (2): 50-56 (1998) 23 Nada Lavrac, Saso Dzeroski : Inductive Logic Programming, 7th International Workshop, ILP-97, Prague, Czech Republic, September 17-20, 1997, Proceedings. Springer 1997 22 Igor Zelic , Igor Kononenko , Nada Lavrac, Vanja Vuga : Machine Learning Applied to Diagnosis of Sport Injuries. AIME 1997 : 138-141 21 Dragan Gamberger , Nada Lavrac: Conditions for Occam's Razor Applicability and Noise Elimination. ECML 1997 : 108-123 20 Nada Lavrac, Dragan Gamberger , Peter D. Turney : Cost-Sensitive Feature Reduction Applied to a Hybrid Genetic Algorithm. ALT 1996 : 127-134 19 Dragan Gamberger , Nada Lavrac, Saso Dzeroski : Noise Elimination in Inductive Concept Learning: A Case Study in Medical Diagnosois. ALT 1996 : 199-212 18 Dragan Gamberger , Nada Lavrac: Noise Detection and Elimination Applied to Noise Handling in a KRK Chess Endgame. Inductive Logic Programming Workshop 1996 : 72-88 17 Nada Lavrac, Irene Weber , Darko Zupanic , Dimitar Kazakov , Olga Stepánková , Saso Dzeroski : ILPNET Repositories on WWW: Inductive Logic Programming Systems, Datasets and Bibliography. AI Communications 9 (4): 157-206 (1996) 16 Nada Lavrac, Stefan Wrobel : Induktive Logikprogrammierung - Grundlagen und Techniken. KI 10 (3): 46-54 (1996) 15 Nada Lavrac, Saso Dzeroski : A Reply to Pazzani's Book Review of ``Inductive Logic Programming: Techniques and Applications''. Machine Learning 23 (1): 109-111 (1996) 14 Nada Lavrac, Stefan Wrobel : Machine Learning: ECML-95, 8th European Conference on Machine Learning, Heraclion, Crete, Greece, April 25-27, 1995, Proceedings. Springer 1995 13 Nada Lavrac, Luc De Raedt : Inductive Logic Programming: A Survey of European Research. AI Communications 8 (1): 3-19 (1995) 12 Nada Lavrac: Inductive Logic Programming. WLP 1994 : 146-160 11 Luc De Raedt , Nada Lavrac, Saso Dzeroski : Multiple Predicate Learning. IJCAI 1993 : 1037-1043 10 Luc De Raedt , Nada Lavrac: The Many Faces of Inductive Logic Programming. ISMIS 1993 : 435-449 9 Nada Lavrac, Saso Dzeroski , Vladimir Pirnat , Viljem Krizman : The utility of background knowledge in learning medical diagnostic rules. Applied Artificial Intelligence 7 (3): 273-293 (1993) 8 Saso Dzeroski , Nada Lavrac: Inductive Learning in Deductive Databases. TKDE 5 (6): 939-949 (1993) 7 Nada Lavrac, Saso Dzeroski : Background Knowledge and Declarative Bias in Inductive Concept Learning. AII 1992 : 51-71 6 M. Kovacic , Nada Lavrac, Marko Grobelnik , Darko Zupanic , Dunja Mladenic : Stochastic Search in Inductive Logic Programming. ECAI 1992 : 444-445 5 Nada Lavrac, Saso Dzeroski , Marko Grobelnik : Learning Nonrecursive Definitions of Relations with LINUS. EWSL 1991 : 265-281 4 Saso Dzeroski , Nada Lavrac: Learning Relations from Noisy Examples: An Empirical Comparison of LINUS and FOIL. ML 1991 : 399-402 3 Nada Lavrac, Saso Dzeroski , Vladimir Pirnat , Viljem Krizman : Learning Rules for Early Diagnosis of Rheumatic Diseases. SCAI 1991 : 138-149 2 Matjaz Gams , Nada Lavrac: Review of Five Empirical Learning Systems Within a Proposed Schemata. EWSL 1987 : 46-66 1 Ryszard S. Michalski , Igor Mozetic , Jiarong Hong , Nada Lavrac: The Multi-Purpose Incremental Learning System AQ15 and Its Testing Application to Three Medical Domains. AAAI 1986 : 1041-1047  DiSC'03 © 2003 Association for Computing Machinery |
