N. Lavrac

发表

Relational Data Mining

S. Džeroski, N. Lavrac, N. Lavra, 2001, Springer Berlin Heidelberg.

The Multi-Purpose Incremental Learning System AQ15 and Its Testing Application to Three Medical Domains

Nada Lavrac, Ryszard S. Michalski, Igor Mozetic, 1986, AAAI.

Intelligent Data Analysis in Medicine and Pharmacology

N. Lavrac, B. Zupan, E. Keravnou, 1997 .

Bisociative Knowledge Discovery by Literature Outlier Detection

Nada Lavrac, Tanja Urbancic, Bojan Cestnik, 2012, Bisociative Knowledge Discovery.

Data Mining in Medicine

Nada Lavrac, Blaz Zupan, N. Lavrac, 2010, Data Mining and Knowledge Discovery Handbook.

Propositionalization approaches to relational data mining

Peter A. Flach, N. Lavrac, S. Kramer, 2001 .

Selected techniques for data mining in medicine

Nada Lavrac, N. Lavrac, N. Lavrač, 1999, Artif. Intell. Medicine.

Data Analysis of Patients with Severe Head Injury

N. Lavrac, I. Pilih, D. Mladenic, 1997 .

Dynamic Parameter Adaptation of SVM Based Active Learning Methodology

Nada Lavrac, Martin Znidarsic, Jasmina Smailovic, 2016, AL@iKNOW.

Deep Node Ranking: an Algorithm for Structural Network Embedding and End-to-End Classification pdf

Nada Lavrac, Jan Kralj, Marko Robnik-Sikonja, 2019, ArXiv.

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

Nada Lavrac, Dragan Gamberger, Filip Zelezný, 2004, J. Biomed. Informatics.

An Experiment in Automatic Synthesis of Expert Knowledge Through Qualitative Modelling

Ivan Bratko, Nada Lavrac, Igor Mozetic, 1983, Logic Programming Workshop.

Samuel's Checkers Player

Risto Miikkulainen, Scott Sanner, Kristian Kersting, 2010, Encyclopedia of Machine Learning.

COVID-19 therapy target discovery with context-aware literature mining

Nada Lavrac, Senja Pollak, Blaz Skrlj, 2020, DS.

Knowledge Discovery in Databases: PKDD 2003

Hendrik Blockeel, Dragan Gamberger, Nada Lavrač, 2003, Lecture Notes in Computer Science.

Inductive Logic Programming: Techniques and Applications

Saso Dzeroski, Nada Lavrac, S. Džeroski, 1993 .

Managing business intelligence in a virtual enterprise: A case study and knowledge management lessons learned

Nada Lavrac, Tanja Urbancic, Mitja Jermol, 2003, J. Intell. Fuzzy Syst..

Confirmation Rule Sets

Nada Lavrac, Dragan Gamberger, N. Lavrac, 2000, PKDD.

Semantic subgroup explanations

Nada Lavrac, Vid Podpecan, Anze Vavpetic, 2014, Journal of Intelligent Information Systems.

Monitoring Human Resources of a Public Health-Care System Through Intelligent Data Analysis and Visualization

Anton Gradisek, Nada Lavrac, Marko Bohanec, 2007, AIME.

NetSDM: Semantic Data Mining with Network Analysis

Nada Lavrac, Jan Kralj, Marko Robnik-Sikonja, 2019, J. Mach. Learn. Res..

SEGS: Search for enriched gene sets in microarray data

Nada Lavrac, Igor Trajkovski, Jakub Tolar, 2008, J. Biomed. Informatics.

Semantic Subgroup Discovery and Cross-Context Linking for Microarray Data Analysis

Nada Lavrac, Hannu Toivonen, Kristina Gruden, 2012, Bisociative Knowledge Discovery.

Methods for knowledge acquisition and refinement in second generation expert systems

Nada Lavrac, Igor Mozetic, N. Lavrac, 1989, SGAR.

Combining Multitask Learning and Short Time Series Analysis in Parkinson's Disease Patients Stratification

Nada Lavrac, Dragana Miljkovic, Marko Robnik-Sikonja, 2017, AIME.

Spike-Timing-Dependent Plasticity

Risto Miikkulainen, Scott Sanner, Kristian Kersting, 2010, Encyclopedia of Machine Learning.

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

Ivan Bratko, Nada Lavrač, Igor Mozetič, 1985 .

Using Ontological Reasoning and Planning for Data Mining Workflow Composition

N. Lavrac, F. Zelezný, M. Záková, 2008 .

ConCreTe Concept Creation Technology Project Number : 611733 Small or Medium-Scale Focused Research Project ICT-Future and Emerging Technologies ( FET ) D 2 . 1 : Review of Conceptual Representations University of Helsinki Version : Final

Hugo Gonçalo Oliveira, Geraint A. Wiggins, H. Toivonen, 2022 .

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

N. Lavrac, B. Cestnik, M. Bohanec, 2010, The International journal of health planning and management.

Supporting Factors to Improve the Explanatory Potential of Contrast Set Mining: Analyzing Brain Ischaemia Data

N. Lavrac, D. Gamberger, A. Krstačić, 2007 .

TOWARDS SEMANTIC DATA MININGWITH g-SEGS

Petra Kralj Novak, N. Lavrac, Anze Vavpetic, 2009 .

DETECTING CONTRAST PATTERNS IN NEWSPAPER ARTICLES BY COMBINING DISCOURSE ANALYSIS AND TEXT MINING

N. Lavrac, Walter Daelemans, Senja Pollak, 2011 .

Intelligent Data Analysis In Medicine And Pharmacology: An Overview

N. Lavrac, B. Zupan, E. Keravnou, 1997 .

Homogeneous clusters of Alzheimer’s disease patient population

Dragan Gamberger, Nada Lavrač, Alexis Mitelpunkt, 2016, Biomedical engineering online.

Identification of clusters of rapid and slow decliners among subjects at risk for Alzheimer’s disease

Dragan Gamberger, Nada Lavrač, P. Murali Doraiswamy, 2017, Scientific Reports.

Incremental Construction of Biological Networks by Relation Extraction from Literature

Nada Lavrač, Igor Mozetič, Vid Podpečan, 2015 .

SUBGROUP VISUALIZATION

Nada Lavrač, Blaž Zupan, Petra Kralj, 2005 .

Analysis of Example Weighting in Subgroup Discovery by Comparison of Three Algorithms on a Real-life Data Set

Nada Lavrač, Branko Kavšek, N. Lavrac, 2004 .

Visual divisive hierarchical clustering using k-means

N. Lavrac, B. Cestnik, Matic Perovsek, 2012 .

Relevancy constraints revisited in ROC space

N. Lavrac, D. Gamberger, 2022 .

Experiments with Noise Filtering in a Medical Domain

Nada Lavrac, Dragan Gamberger, Ciril Groselj, 1999, ICML.

Analysis of complex sentiment on social networks

N. Lavrac, N. Lavrač, 2016 .

Bisociative Knowledge Discovery via B-term Identification [Odkrivanje bisociativnega znanja

N. Lavrac, I. Mozetic, Miha Grcar, 2010 .

Visualization and Analysis of Parkinson's Disease Status and Therapy Patterns

Nada Lavrac, Dragana Miljkovic, Marko Robnik-Sikonja, 2018, DS.

Automating the Calibration of a Neonatal Condition Monitoring System

N. Lavrac, Combi Carlo, M. Peleg, 2011 .

Descriptive Induction through Subgroup Discovery: A Case Study in a Medical Domain

Nada Lavrac, Dragan Gamberger, N. Lavrac, 2002, International Conference on Machine Learning.

Multiple Predicate Learning

Luc De Raedt, Saso Dzeroski, Nada Lavrac, 1993, IJCAI.

tax2vec: Constructing Interpretable Features from Taxonomies for Short Text Classification

Nada Lavrac, Jan Kralj, Blaz Skrlj, 2019, Comput. Speech Lang..

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

Elpida T. Keravnou, Nada Lavrac, N. Lavrac, 2001, Artif. Intell. Medicine.

Scientific Question Generation: Pattern-Based and Graph-Based RoboCHAIR Methods

Nada Lavrac, Senja Pollak, Vid Podpecan, 2021, ICCC.

Part 1: Introduction to Semantic Data Mining (SDM)

Nada Lavrac, Agnieszka Lawrynowicz, Jedrzej Potoniec, 2011 .

A Lemmatization Web Service Based on Machine Learning Techniques

N. Lavrac, T. Erjavec, D. Mladenic, 2005 .

Outlier Detection in Cross-Context Link Discovery for Creative Literature Mining

Nada Lavrac, Tanja Urbancic, Bojan Cestnik, 2012, Comput. J..

Automatic construction of the knowledge base for a steel classification expert system

Ivan Bratko, Matjaz Gams, Nada Lavrač, 1987 .

Exploratory clustering for patient subpopulation discovery

N. Lavrac, D. Gamberger, B. Ženko, 2017 .

Rule induction

Peter A. Flach, Nada Lavrač, N. Lavrac, 2003 .

Proceedings of the CompulogNet area meeting on representation issues in reasoning and learning

Peter A. Flach, Nada Lavrač, N. Lavrac, 1997 .

Ninth International Workshop on Inductive Logic Programming (ILP'99)

Peter A. Flach, Saso Dzeroski, Blaz Zupan, 1999 .

Stochastic Search in Inductive Logic Programming

Dunja Mladenic, Marko Grobelnik, Nada Lavrac, 1992, European Conference on Artificial Intelligence.

Text mining platform for NLP workflow design, replication and reuse

Nada Lavrač, Tomaž Erjavec, Marc Cavazza, 2015, IJCAI 2015.

Automatic synthesis and compression of cardiological knowledge

Ivan Bratko, Nada Lavrač, Igor Mozetič, 1988 .

european Conference on Machine Learning and Principles and PRACTICe of Knowledge Discovery in Databases eCML PKDD 2011

N. Lavrac, J. Kietz, V. Podpecan, 2011 .

NeSyChair: Automatic Conference Scheduling Combining Neuro-Symbolic Representations and Constrained Clustering

N. Lavrac, Marko Robnik-Šikonja, Tadej Škvorc, 2022, IEEE Access.

Proceedings of the 8th European Conference on Machine Learning

Stefan Wrobel, Nada Lavrač, N. Lavrac, 1995 .

Semantic Mapping

Risto Miikkulainen, Scott Sanner, Kristian Kersting, 2010, Encyclopedia of Machine Learning.