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1

Computational Creativity Infrastructure for Online Software Composition: A Conceptual Blending Use Case

Martins, Pedro, Oliveira, Hugo, Goncalves, Joao Carlos, Cruz, Antonio, Cardoso, F. Amilcar, Znidarzic, Martin, Lavrac, Nada, Linkola, Simo M., Toivonen, Hannu, Hervas Ballesteros, Raquel, Mendez, Gonz

Journal:

IBM Journal of Research and Development

Year:

2019

Language:

english

File:

PDF, 6 KB

english, 2019

2

Relational Data Mining || Propositionalization Approaches to Relational Data Mining

Džeroski, Sašo, Lavrač, Nada

Year:

2001

Language:

english

File:

PDF, 3.33 MB

english, 2001

3

Primary health-care network monitoring: a hierarchical resource allocation modeling approach

Aleksander Pur, Marko Bohanec, Nada Lavrač, Bojan Cestnik

Journal:

The International Journal of Health Planning and Management

Year:

2010

Language:

english

File:

PDF, 203 KB

english, 2010

4

Propositionalization-based relational subgroup discovery with RSD

Filip Železný, Nada Lavrač

Journal:

Machine Learning

Year:

2006

Language:

english

File:

PDF, 2.40 MB

english, 2006

5

Guest editors’ introduction: Special issue on

Filip Železný, Nada Lavrač

Journal:

Machine Learning

Year:

2009

Language:

english

File:

PDF, 118 KB

english, 2009

6

Editorial: Data Mining Lessons Learned

Nada Lavrač, Hiroshi Motoda, Tom Fawcett

Journal:

Machine Learning

Year:

2004

Language:

english

File:

PDF, 55 KB

english, 2004

7

Introduction: Lessons Learned from Data Mining Applications and Collaborative Problem Solving

Nada Lavrač, Hiroshi Motoda, Tom Fawcett, Robert Holte, Pat Langley, Pieter Adriaans

Journal:

Machine Learning

Year:

2004

Language:

english

File:

PDF, 123 KB

english, 2004

8

Decision Support Through Subgroup Discovery: Three Case Studies and the Lessons Learned

Nada Lavrač, Bojan Cestnik, Dragan Gamberger, Peter Flach

Journal:

Machine Learning

Year:

2004

Language:

english

File:

PDF, 163 KB

english, 2004

9

AIM portraits: tracing the evolution of artificial intelligence in medicine and predicting its future in the new millennium

Elpida Keravnou, Nada Lavrač

Journal:

Artificial Intelligence in Medicine

Year:

2001

Language:

english

File:

PDF, 46 KB

english, 2001

10

Selected techniques for data mining in medicine

Journal:

Artificial Intelligence in Medicine

Year:

1999

Language:

english

File:

PDF, 289 KB

english, 1999

11

Supporting the search for cross-context links by outlier detection methods

Borut Sluban, Nada Lavrač

Journal:

BMC Bioinformatics

Year:

2010

Language:

english

File:

PDF, 206 KB

english, 2010

12

[Lecture Notes in Computer Science] Machine Learning: ECML-95 Volume 912 || The power of decision tables

Lavrac, Nada, Wrobel, Stefan

Year:

1995

Language:

english

File:

PDF, 1.01 MB

english, 1995

13

Editorial advice toMachine Learningauthors

Lavrač, Nada, Džeroski, Sašo

Journal:

Machine Learning

Year:

1990

Language:

english

File:

PDF, 265 KB

english, 1990

14

A reply to Pazzani's book review of “Inductive Logic Programming: Techniques and Applications”

Lavrač, Nada, Džeroski, Sašo

Journal:

Machine Learning

Year:

1996

Language:

english

File:

PDF, 156 KB

english, 1996

15

A Reply to Pazzani's Book Review of "Inductive Logic Programming: Techniques and Applications"

Lavrač, Nada, Džeroski, Sašo

Journal:

Machine Learning

Year:

1996

File:

PDF, 150 KB

1996

16

[Lecture Notes in Computer Science] Advances in Intelligent Data Analysis VII Volume 4723 || DENCLUE 2.0: Fast Clustering Based on Kernel Density Estimation

R. Berthold, Michael, Shawe-Taylor, John, Lavrač, Nada

Year:

2007

Language:

english

File:

PDF, 489 KB

english, 2007

17

Relational Data Mining ||

Džeroski, Sašo, Lavrač, Nada

Year:

2001

Language:

english

File:

PDF, 41.10 MB

english, 2001

18

Methods for knowledge acquisition and refinement in second generation expert systems

Lavrac, Nada, Mozetic, Igor

Journal:

ACM SIGART Bulletin

Year:

1989

Language:

english

File:

PDF, 618 KB

english, 1989

19

[Lecture Notes in Computer Science] Artificial Intelligence in Medicine Volume 6747 ||

Peleg, Mor, Lavrač, Nada, Combi, Carlo

Year:

2011

Language:

english

File:

PDF, 7.50 MB

english, 2011

20

[Lecture Notes in Computer Science] Discovery Science Volume 4265 || Change Detection with Kalman Filter and CUSUM

Todorovski, Ljupčo, Lavrač, Nada, Jantke, Klaus P.

Year:

2006

Language:

english

File:

PDF, 517 KB

english, 2006

21

[Lecture Notes in Computer Science] Knowledge Discovery in Databases: PKDD 2003 Volume 2838 || Analyzing Attribute Dependencies

Lavrač, Nada, Gamberger, Dragan, Todorovski, Ljupčo, Blockeel, Hendrik

Year:

2003

Language:

english

File:

PDF, 192 KB

english, 2003

22

[Lecture Notes in Computer Science] Machine Learning: ECML 2003 Volume 2837 || Life Cycle Modeling of News Events Using Aging Theory

Lavrač, Nada, Gamberger, Dragan, Blockeel, Hendrik, Todorovski, Ljupčo

Year:

2003

Language:

english

File:

PDF, 267 KB

english, 2003

23

TextFlows: A visual programming platform for text mining and natural language processing

Perovšek, Matic, Kranjc, Janez, Erjavec, Tomaž, Cestnik, Bojan, Lavrač, Nada

Journal:

Science of Computer Programming

Year:

2016

Language:

english

File:

PDF, 3.47 MB

english, 2016

24

Explaining mixture models through semantic pattern mining and banded matrix visualization

Adhikari, Prem Raj, Vavpetič, Anže, Kralj, Jan, Lavrač, Nada, Hollmén, Jaakko

Journal:

Machine Learning

Year:

2016

Language:

english

File:

PDF, 2.59 MB

english, 2016

25

Refinement and selection heuristics in subgroup discovery and classification rule learning

Valmarska, Anita, Lavrač, Nada, Fürnkranz, Johannes, Robnik-Šikonja, Marko

Journal:

Expert Systems with Applications

Year:

2017

Language:

english

File:

PDF, 7.75 MB

english, 2017

26

Outlier based literature exploration for cross-domain linking of Alzheimer’s disease and gut microbiota

Gubiani, Donatella, Fabbretti, Elsa, Cestnik, Bojan, Lavrač, Nada, Urbančič, Tanja

Journal:

Expert Systems with Applications

Year:

2017

Language:

english

File:

PDF, 8.55 MB

english, 2017

27

[Lecture Notes in Computer Science] Machine Learning: ECML 2003 Volume 2837 || Next Generation Data Mining Tools: Power Laws and Self-similarity for Graphs, Streams and Traditional Data

Lavrač, Nada, Gamberger, Dragan, Blockeel, Hendrik, Todorovski, Ljupčo

Year:

2003

Language:

english

File:

PDF, 206 KB

english, 2003

28

An attempt to implement expert system techniques in CAPP

Alojz Sluga, Peter Butala, Nada Lavrač, Matjaž Gams

Journal:

Robotics and Computer-Integrated Manufacturing

Year:

1988

Language:

english

File:

PDF, 464 KB

english, 1988

29

A study of relevance for learning in deductive databases

Nada Lavrač, Dragan Gamberger, Viktor Jovanoski

Journal:

The Journal of Logic Programming

Year:

1999

Language:

english

File:

PDF, 288 KB

english, 1999

30

Use of Functional Electrical Stimulation in the Lower Extremities of Incomplete Spinal Cord Injured Patients

Tadej Bajd, Alojz Kralj, Martin Štefančič, Nada Lavrač

Journal:

Artificial Organs

Year:

1999

Language:

english

File:

PDF, 526 KB

english, 1999

31

SegMine workflows for semantic microarray data analysis in Orange4WS

Vid Podpečan, Nada Lavrač, Igor Mozetič, Petra Kralj Novak, Igor Trajkovski, Laura Langohr, Kimmo Kulovesi, Hannu Toivonen, Marko Petek, Helena Motaln, Kristina Gruden

Journal:

BMC Bioinformatics

Year:

2011

Language:

english

File:

PDF, 822 KB

english, 2011

32

Special issue on inductive logic programming 97

Nada Lavrač, Sašo Džeroski, Masayuki Numao

Journal:

New Generation Computing

Year:

1999

Language:

english

File:

PDF, 88 KB

english, 1999

33

Inductive logic programming for relational knowledge discovery

Nada Lavrač, Saŝo Džeroski, Masayuki Numao

Journal:

New Generation Computing

Year:

1999

Language:

english

File:

PDF, 1.21 MB

english, 1999

34

Knowledge-technology-based discovery of unauthorized genetically modified organisms

Tom Ruttink, Dany Morisset, Bart Van Droogenbroeck, Nada Lavrač, Guy L. M. Van Den Eede, Jana Žel, Marc De Loose

Journal:

Analytical and Bioanalytical Chemistry

Year:

2010

Language:

english

File:

PDF, 232 KB

english, 2010

35

Clinical data analysis based on iterative subgroup discovery: experiments in brain ischaemia data analysis

Dragan Gamberger, Nada Lavrač, Antonija Krstačić, Goran Krstačić

Journal:

Applied Intelligence

Year:

2007

Language:

english

File:

PDF, 379 KB

english, 2007

36

KARDIO-E-an expert system for electrocardiographic diagnosis of cardiac arrhythmias

Nada Lavrač, Ivan Bratko, Igor Mozetič, Boian Čerček, Anton Grad, Matija Horvat

Journal:

Year:

1985

Language:

english

File:

PDF, 747 KB

english, 1985

37

Induction of Decision Trees and Bayesian Classification Applied to Diagnosis of Sport Injuries

Igor Zelič, Igor Kononenko, Nada Lavrač, Vanja Vuga

Journal:

Journal of Medical Systems

Year:

1997

Language:

english

File:

PDF, 1.97 MB

english, 1997

38

Multiple Predicate Learning in Two Inductive Logic Programming Settings

RAEDT, LUC DE, LAVRAČ, NADA

Journal:

Logic Journal of IGPL

Year:

1996

Language:

english

File:

PDF, 1.49 MB

english, 1996

39

[Lecture Notes in Computer Science] Knowledge Discovery in Databases: PKDD 2003 Volume 2838 || Application of Inductive Logic Programming to Structure-Based Drug Design

Lavrač, Nada, Gamberger, Dragan, Todorovski, Ljupčo, Blockeel, Hendrik

Year:

2003

Language:

english

File:

PDF, 274 KB

english, 2003

40

Induction of comprehensible models for gene expression datasets by subgroup discovery methodology

Dragan Gamberger, Nada Lavrač, Filip Železný, Jakub Tolar

Journal:

Journal of Biomedical Informatics

Year:

2004

Language:

english

File:

PDF, 436 KB

english, 2004

41

Data mining and visualization for decision support and modeling of public health-care resources

Nada Lavrač, Marko Bohanec, Aleksander Pur, Bojan Cestnik, Marko Debeljak, Andrej Kobler

Journal:

Journal of Biomedical Informatics

Year:

2007

Language:

english

File:

PDF, 1.21 MB

english, 2007

42

SEGS: Search for enriched gene sets in microarray data

Igor Trajkovski, Nada Lavrač, Jakub Tolar

Journal:

Journal of Biomedical Informatics

Year:

2008

Language:

english

File:

PDF, 977 KB

english, 2008

43

CSM-SD: Methodology for contrast set mining through subgroup discovery

Petra Kralj Novak, Nada Lavrač, Dragan Gamberger, Antonija Krstačić

Journal:

Journal of Biomedical Informatics

Year:

2009

Language:

english

File:

PDF, 491 KB

english, 2009

44

Active subgroup mining: a case study in coronary heart disease risk group detection

Dragan Gamberger, Nada Lavrač, Goran Krstačić

Journal:

Artificial Intelligence in Medicine

Year:

2003

Language:

english

File:

PDF, 485 KB

english, 2003

45

Identification of concepts bridging diverse biomedical domains

Matjaž Juršič, Igor Mozetič, Miha Grčar, Bojan Cestnik, Nada Lavrač

Journal:

BMC Bioinformatics

Year:

2010

Language:

english

File:

PDF, 253 KB

english, 2010

46

[Lecture Notes in Computer Science] Machine Learning: ECML 2003 Volume 2837 || Logistic Model Trees

Lavrač, Nada, Gamberger, Dragan, Blockeel, Hendrik, Todorovski, Ljupčo

Year:

2003

Language:

english

File:

PDF, 180 KB

english, 2003

47

[Lecture Notes in Computer Science] Discovery Science Volume 4265 || A Multilingual Named Entity Recognition System Using Boosting and C4.5 Decision Tree Learning Algorithms

Todorovski, Ljupčo, Lavrač, Nada, Jantke, Klaus P.

Year:

2006

Language:

english

File:

PDF, 204 KB

english, 2006

48

[Lecture Notes in Computer Science] Machine Learning: ECML 2003 Volume 2837 || Experiments with Cost-Sensitive Feature Evaluation

Lavrač, Nada, Gamberger, Dragan, Blockeel, Hendrik, Todorovski, Ljupčo

Year:

2003

Language:

english

File:

PDF, 269 KB

english, 2003

49

[Lecture Notes in Computer Science] Knowledge Discovery in Databases: PKDD 2003 Volume 2838 || A Skeleton-Based Approach to Learning Bayesian Networks from Data

Lavrač, Nada, Gamberger, Dragan, Todorovski, Ljupčo, Blockeel, Hendrik

Year:

2003

Language:

english

File:

PDF, 286 KB

english, 2003

50

[Lecture Notes in Computer Science] Artificial Intelligence in Medicine Volume 6747 || A Case Study of Stacked Multi-view Learning in Dementia Research

Peleg, Mor, Lavrač, Nada, Combi, Carlo

Year:

2011

Language:

english

File:

PDF, 217 KB

english, 2011

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