Nada Lavrač
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Data Mining
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Computer Science
Nada Lavrač's Degrees
- PhD Computer Science University of Ljubljana
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(Suggest an Edit or Addition)Nada Lavrač's Published Works
Number of citations in a given year to any of this author's works
Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author
Published Works
- The Multi-Purpose Incremental Learning System AQ15 and Its Testing Application to Three Medical Domains (1986) (974)
- Inductive logic programming - techniques and applications (1993) (946)
- Rule Evaluation Measures: A Unifying View (1999) (446)
- Supervised Descriptive Rule Discovery: A Unifying Survey of Contrast Set, Emerging Pattern and Subgroup Mining (2009) (425)
- Subgroup Discovery with CN2-SD (2004) (411)
- Selected techniques for data mining in medicine (1999) (394)
- Propositionalization approaches to relational data mining (2001) (336)
- Foundations of Rule Learning (2012) (305)
- Stream-based active learning for sentiment analysis in the financial domain (2014) (239)
- APRIORI-SD: ADAPTING ASSOCIATION RULE LEARNING TO SUBGROUP DISCOVERY (2006) (232)
- Expert-Guided Subgroup Discovery: Methodology and Application (2002) (222)
- The AQ15 Inductive Learning System: An Overview and Experiments (1986) (209)
- Learning Nonrecursive Definitions of Relations with LINUS (1991) (200)
- Experiments with Noise Filtering in a Medical Domain (1999) (195)
- KARDIO - a study in deep and qualitative knowledge for expert systems (1989) (177)
- A Rule based Approach to Word Lemmatization (2004) (168)
- Comparative Evaluation of Approaches to Propositionalization (2003) (152)
- Knowledge Discovery in Databases: PKDD 2003 (2003) (144)
- Intelligent Data Analysis in Medicine and Pharmacology (1997) (144)
- Propositionalization-based relational subgroup discovery with RSD (2006) (127)
- Noise detection and elimination in data preprocessing: Experiments in medical domains (2000) (126)
- Decision Support Through Subgroup Discovery: Three Case Studies and the Lessons Learned (2004) (121)
- Classification Rule Learning with APRIORI-C (2001) (110)
- Predictive Sentiment Analysis of Tweets: A Stock Market Application (2013) (104)
- Multiple Predicate Learning (1993) (102)
- An extended transformation approach to inductive logic programming (2001) (102)
- Active subgroup mining: a case study in coronary heart disease risk group detection (2003) (100)
- Closed Sets for Labeled Data (2006) (98)
- Machine Learning: ECML 2003 (2003) (95)
- Active learning for sentiment analysis on data streams: Methodology and workflow implementation in the ClowdFlows platform (2015) (83)
- RSD: Relational Subgroup Discovery through First-Order Feature Construction (2002) (83)
- An Introduction to Inductive Logic Programming (2001) (79)
- Noise Elimination in Inductive Concept Learning: A Case Study in Medical Diagnosois (1996) (78)
- Ensemble-based noise detection: noise ranking and visual performance evaluation (2014) (78)
- Automating Knowledge Discovery Workflow Composition Through Ontology-Based Planning (2011) (78)
- ClowdFlows: A Cloud Based Scientific Workflow Platform (2012) (78)
- Data mining and visualization for decision support and modeling of public health-care resources (2007) (77)
- Predictive Performance of Weghted Relative Accuracy (2000) (68)
- Trust Modeling for Networked Organizations Using Reputation and Collaboration Estimates (2007) (66)
- LemmaGen: Multilingual Lemmatisation with Induced Ripple-Down Rules (2010) (63)
- Machine Learning: ECML-95 (1995) (62)
- Induction of comprehensible models for gene expression datasets by subgroup discovery methodology (2004) (62)
- Identification of clusters of rapid and slow decliners among subjects at risk for Alzheimer’s disease (2017) (60)
- ClowdFlows: Online workflows for distributed big data mining (2017) (60)
- Intelligent Data Analysis in Medicine (2000) (59)
- SEGS: Search for enriched gene sets in microarray data (2008) (57)
- Machine Learning for Data Mining in Medicine (1999) (56)
- Introduction: Lessons Learned from Data Mining Applications and Collaborative Problem Solving (2004) (54)
- Conditions for Occam's Razor Applicability and Noise Elimination (1997) (54)
- Induction of Decision Trees and Bayesian Classification Applied to Diagnosis of Sport Injuries (1997) (54)
- An Ontology for Virtual Organization Breeding Environments (2007) (53)
- A Study of Relevance for Learning in Deductive Databases (1999) (53)
- Relating ensemble diversity and performance: A study in class noise detection (2015) (51)
- Rule induction (2003) (50)
- Inductive Learning in Deductive Databases (1993) (49)
- Data Mining in Medicine (2010) (48)
- Orange4WS Environment for Service-Oriented Data Mining (2012) (46)
- Advances in Class Noise Detection (2010) (46)
- Data Mining and Decision Support (2003) (44)
- Intelligent Data Analysis for Medical Diagnosis: Using Machine Learning and Temporal Abstraction (1998) (39)
- Adapting classification rule induction to subgroup discovery (2002) (39)
- Relevancy in Constraint-Based Subgroup Discovery (2004) (39)
- Semantic Subgroup Discovery Systems and Workflows in the SDM-Toolkit (2013) (38)
- Automatic synthesis and compression of cardiological knowledge (1988) (37)
- SegMine workflows for semantic microarray data analysis in Orange4WS (2011) (36)
- Using Ontologies in Semantic Data Mining with SEGS and g-SEGS (2011) (36)
- A Fast Algorithm for Mining Utility-Frequent Itemsets (2007) (35)
- Contrast Set Mining for Distinguishing Between Similar Diseases (2007) (34)
- The utility of background knowledge in learning medical diagnostic rules (1993) (34)
- TextFlows: A visual programming platform for text mining and natural language processing (2016) (34)
- Advances in Intelligent Data Analysis VII, 7th International Symposium on Intelligent Data Analysis, IDA 2007, Ljubljana, Slovenia, September 6-8, 2007, Proceedings (2007) (34)
- Review of Five Empirical Learning Systems Within a Proposed Schemata (1987) (34)
- tax2vec: Constructing Interpretable Features from Taxonomies for Short Text Classification (2019) (34)
- Multiple Predicate Learning in Two Inductive Logic Programming Settings (1996) (33)
- Computational Creativity Infrastructure for Online Software Composition: A Conceptual Blending Use Case (2016) (31)
- Cost-Sensitive Feature Reduction Applied to a Hybrid Genetic Algorithm (1996) (30)
- DETECTING CONTRAST PATTERNS IN NEWSPAPER ARTICLES BY COMBINING DISCOURSE ANALYSIS AND TEXT MINING (2011) (30)
- Learning Relational Descriptions of Differentially Expressed Gene Groups (2008) (29)
- Wordification: Propositionalization by unfolding relational data into bags of words (2015) (29)
- A Methodology for Mining Document-Enriched Heterogeneous Information Networks (2011) (29)
- Learning Relations from Noisy Examples: An Empirical Comparison of LINUS and FOIL (1991) (29)
- Relational Data Mining Applied to Virtual Engineering of Product Designs (2007) (29)
- Managing business intelligence in a virtual enterprise: A case study and knowledge management lessons learned (2003) (28)
- Rule induction for subgroup discovery with CN2-SD (2002) (28)
- GMOtrack: generator of cost-effective GMO testing strategies. (2009) (28)
- Machine Learning and Data Mining Methods for Managing Parkinson's Disease (2016) (28)
- CSM-SD: Methodology for contrast set mining through subgroup discovery (2009) (27)
- Outlier Detection in Cross-Context Link Discovery for Creative Literature Mining (2012) (27)
- Cross-domain literature mining: Finding bridging concepts with CrossBee (2012) (26)
- A Relevancy Filter for Constructive Induction (1998) (26)
- GMOseek: a user friendly tool for optimized GMO testing (2014) (23)
- Signalling Network Construction for Modelling Plant Defence Response (2012) (23)
- HINMINE: heterogeneous information network mining with information retrieval heuristics (2018) (23)
- Clusters of male and female Alzheimer’s disease patients in the Alzheimer’s Disease Neuroimaging Initiative (ADNI) database (2016) (23)
- The Many Faces of Inductive Logic Programming (1993) (23)
- Background Knowledge and Declarative Bias in Inductive Concept Learning (1992) (23)
- Rule induction and instance-based learning applied in medical diagnosis. (1996) (23)
- Intelligent Data Analysis In Medicine And Pharmacology: An Overview (1997) (22)
- Handling Imperfect Data in Inductive Logic Programming (1996) (21)
- ILPNET Repositories on WWW: Inductive Logic Programming Systems, Datasets and Bibliography (1996) (21)
- Advancing Topic Ontology Learning through Term Extraction (2008) (21)
- Refinement and selection heuristics in subgroup discovery and classification rule learning (2017) (20)
- Confirmation Rule Sets (2000) (19)
- Data mining techniques and applications in medicine. (1999) (19)
- Subgroup Discovery Techniques and Applications (2005) (19)
- TOWARDS SEMANTIC DATA MININGWITH g-SEGS (2009) (19)
- Multilayer Clustering: A Discovery Experiment on Country Level Trading Data (2014) (19)
- High Confidence Association Rules for Medical Diagnosis (1999) (18)
- Using redescription mining to relate clinical and biological characteristics of cognitively impaired and Alzheimer’s disease patients (2017) (18)
- Contrast Set Mining Through Subgroup Discovery Applied to Brain Ischaemina Data (2007) (18)
- APRIORI-SD: ADAPTING ASSOCIATION RULE LEARNING TO SUBGROUP DISCOVERY (2006) (18)
- Rule Learning in a Nutshell (2012) (18)
- Generating Actionable Knowledge by Expert-Guided Subgroup Discovery (2002) (18)
- Semantic Data Mining of Financial News Articles (2013) (18)
- Advancing manufacturing systems with big-data analytics: A conceptual framework (2020) (18)
- Explicit Feature Construction and Manipulation for Covering Rule Learning Algorithms (2010) (18)
- Knowledge-technology-based discovery of unauthorized genetically modified organisms (2010) (18)
- Descriptive Induction through Subgroup Discovery: A Case Study in a Medical Domain (2002) (17)
- Methods for knowledge acquisition and refinement in second generation expert systems (1989) (16)
- Towards Robust Text Classification with Semantics-Aware Recurrent Neural Architecture (2019) (16)
- Symptoms and medications change patterns for Parkinson's disease patients stratification (2018) (16)
- Exploring the Power of Outliers for Cross-Domain Literature Mining (2012) (16)
- NLP workflow for on-line definition extraction from English and Slovene text corpora (2012) (16)
- Bridging Concept Identification for Constructing Information Networks from Text Documents (2012) (16)
- Collaboration Opportunity Finder (2007) (15)
- A Wordification Approach to Relational Data Mining (2013) (15)
- Clinical data analysis based on iterative subgroup discovery: experiments in brain ischaemia data analysis (2007) (15)
- Data Mining for Decision Support (2003) (15)
- Homogeneous clusters of Alzheimer’s disease patient population (2016) (15)
- KARDIO‐E‐an expert system for electrocardiographic diagnosis of cardiac arrhythmias (1985) (15)
- Propositionalization and embeddings: two sides of the same coin (2020) (14)
- Relational Subgroup Discovery for Descriptive Analysis of Microarray Data (2006) (14)
- A framework for redescription set construction (2017) (14)
- Semantic subgroup explanations (2014) (14)
- Py3plex: A Library for Scalable Multilayer Network Analysis and Visualization (2018) (14)
- Redescription Mining with Multi-target Predictive Clustering Trees (2015) (13)
- Community-Based Semantic Subgroup Discovery (2017) (13)
- An attempt to implement expert system techniques in CAPP (1988) (13)
- The Good, the Bad, and the AHA! Blends (2015) (13)
- Using Ontological Reasoning and Planning for Data Mining Workflow Composition (2008) (13)
- Conceptual Representations for Computational Concept Creation (2019) (13)
- Ripple Down Rule learning for automated word lemmatisation (2008) (13)
- Second Generation Knowledge Acquisition Methods and Their Application to Medicine (1992) (13)
- BERT meets Shapley: Extending SHAP Explanations to Transformer-based Classifiers (2021) (13)
- Data mining for fault diagnostics: A case for plastic injection molding (2019) (12)
- Py3plex toolkit for visualization and analysis of multilayer networks (2019) (12)
- CBSSD: community-based semantic subgroup discovery (2019) (12)
- NetSDM: Semantic Data Mining with Network Analysis (2019) (12)
- Inductive Logic Programming (1997) (12)
- On the Road to Knowledge (2003) (12)
- EMBEDDIA Tools, Datasets and Challenges: Resources and Hackathon Contributions (2021) (11)
- Noise Detection and Elimination Applied to Noise Handling in a KRK Chess Endgame (1996) (11)
- Bisociative Knowledge Discovery for Microarray Data Analysis (2010) (11)
- Explaining mixture models through semantic pattern mining and banded matrix visualization (2014) (11)
- Inconsistency Tests for Patient Records in a Coronary Heart Disease Database (2000) (11)
- Redescription mining augmented with random forest of multi-target predictive clustering trees (2018) (11)
- Ninth International Workshop on Inductive Logic Programming (ILP'99) (1999) (11)
- Data Analysis of Patients with Severe Head Injury (1997) (11)
- autoBOT: evolving neuro-symbolic representations for explainable low resource text classification (2021) (10)
- TermEnsembler: An ensemble learning approach to bilingual term extraction and alignment (2019) (10)
- Embedding-based Silhouette community detection (2019) (10)
- Performance Analysis of Class Noise Detection Algorithms (2010) (10)
- Hierarchical Multi-Attribute Decision Support Approach to Virtual Organization Creation (2005) (10)
- Learning in Clausal Logic: A Perspective on Inductive Logic Programming (2002) (10)
- Analysis of medications change in Parkinson’s disease progression data (2018) (9)
- Contrasting Subgroup Discovery (2012) (9)
- Supervised Descriptive Rule Induction (2010) (9)
- Machine learning : ECML 2003 : 14th European Conference on Machine Learning, Cavtat-Dubrovnik, Croatia, September 22-26, 2003 : proceedings (2003) (9)
- Analysis of Example Weighting in Subgroup Discovery by Comparison of Three Algorithms on a Real-life Data Set (2004) (9)
- Learning Rules for Early Diagnosis of Rheumatic Diseases (1991) (9)
- Interactive exploration of heterogeneous biological networks with Biomine Explorer (2019) (9)
- Baseline Methods for Automated Fictional Ideation (2014) (9)
- SUBGROUP VISUALIZATION (2005) (8)
- Bisociative Knowledge Discovery by Literature Outlier Detection (2012) (8)
- COVID-19 therapy target discovery with context-aware literature mining (2020) (8)
- Outlier based literature exploration for cross-domain linking of Alzheimer's disease and gut microbiota (2017) (8)
- Reducing the Search Space in Literature-Based Discovery by Exploring Outlier Documents: a Case Study in Finding Links Between Gut Microbiome and Alzheimer’s Disease (2017) (7)
- Relational and Semantic Data Mining - - Invited Talk - (2015) (7)
- Mining Text Enriched Heterogeneous Citation Networks (2015) (7)
- Propositionalization Online (2014) (7)
- A Decision Support Approach to Modeling Trust in Networked Organizations (2005) (7)
- ROC Analysis of Example Weighting in Subgroup Discovery (2004) (7)
- Virtual Enterprise for Data Mining and Decision Support (2002) (6)
- Editorial: Data Mining Lessons Learned (2004) (6)
- Real-time data analysis in ClowdFlows (2013) (6)
- Semantic subgroup discovery: Using ontologies in microarray data analysis (2009) (6)
- Machine Learning Applied to Diagnosis of Sport Injuries (1997) (6)
- Case Study on the use of Data Minig Techniques in Food Science using Honey Samples (2007) (6)
- SNoRe: Scalable Unsupervised Learning of Symbolic Node Representations (2020) (6)
- Bisociative Literature Mining by Ensemble Heuristics (2012) (6)
- Proceedings of the 8th European Conference on Machine Learning (1995) (6)
- A European Virtual Enterprise on Collaborative Data Mining and Decision Support (2010) (6)
- Relational and Semantic Data Mining for Biomedical Research (2013) (6)
- Using machine learning for outcome prediction of patients with severe head injury (1997) (6)
- An Experiment in Automatic Synthesis of Expert Knowledge Through Qualitative Modelling (1983) (6)
- Inductive Logic Programming: A Survey of European Research (1995) (6)
- Integration of Data Mining and Decision Support (2003) (5)
- Rule Evaluation Measures (2012) (5)
- Machine Learning: ECML-95: 8th European Conference on Machine Learning, Heraclion, Crete, Greece, April 25 - 27, 1995. Proceedings (1995) (5)
- Weakening the language bias in LINUS (1994) (5)
- Identification of concepts bridging diverse biomedical domains (2010) (5)
- AIM portraits: tracing the evolution of artificial intelligence in medicine and predicting its future in the new millennium (2001) (5)
- Inductive Logic Programming, 18th International Conference, ILP 2008, Prague, Czech Republic, September 10-12, 2008, Proceedings (2008) (5)
- Co-Bidding Graphs for Constrained Paper Clustering (2016) (5)
- Filtering Noisy Instances and Outliers (2001) (5)
- Explaining Subgroups through Ontologies (2012) (5)
- Confirmation rule induction and its applications to coronary heart disease diagnosis and risk group discovery (2002) (5)
- Stochastic Search in Inductive Logic Programming (1992) (5)
- ViperCharts: Visual Performance Evaluation Platform (2013) (5)
- Application of expert systems to the evaluation of managerial performance in public enterprises of developing countries (1988) (5)
- Prediction of the Effects of Epidemic Spreading with Graph Neural Networks (2020) (5)
- Supporting Factors to Improve the Explanatory Potential of Contrast Set Mining: Analyzing Brain Ischaemia Data (2007) (5)
- Avoiding Data Overfitting in Scientific Discovery: Experiments in Functional Genomics (2004) (5)
- Multi-view Approach to Parkinson's Disease Quality of Life Data Analysis (2016) (5)
- RoboCHAIR: Creative Assistant for Question Generation and Ranking (2015) (5)
- Machine Learning and Data Mining (2012) (5)
- Diagnostic Rules of Increased Reliability for Critical Medical Applications (1999) (5)
- Computational Creativity Conceptualisation Grounded on ICCC Papers (2016) (4)
- Samuel's Checkers Player (2010) (4)
- RELATIONAL SUBGROUP DISCOVERY FOR GENE EXPRESSION DATA MINING (2005) (4)
- A Data Mining Experiment on Manufacturing Shop Floor Data (2007) (4)
- Multilayer Clustering: Biomarker Driven Segmentation of Alzheimer's Disease Patient Population (2015) (4)
- Experiments In Learning Nonrecursive Definitions Of Relations With Linus (1991) (4)
- Enhancing Human Choice by Information Technologies (2006) (4)
- Monitoring Human Resources of a Public Health-Care System Through Intelligent Data Analysis and Visualization (2007) (4)
- A report on experiments with weighted relative accuracy in CN2 (2000) (4)
- Automatic construction of the knowledge base for a steel classification expert system (1987) (4)
- Inductive logic programming for relational knowledge discovery (1998) (4)
- Inductive Logic Programming 7th International Workshop, Ilp-97, Prague, Czech Republic, September 17-20, 1997 : Proceedings (1997) (4)
- Project Self-evaluation Methodology : the Healthreats Project Case Study (2009) (4)
- Workflow Construction for Service-Oriented Knowledge Discovery (2010) (4)
- Relational Descriptive Analysis of Gene Expression Data (2006) (4)
- Ontologies for Collaborative Networked Organizations (2008) (4)
- Differential Response of Grapevine to Infection with ‘Candidatus Phytoplasma solani’ in Early and Late Growing Season through Complex Regulation of mRNA and Small RNA Transcriptomes (2021) (4)
- A Wordification Approach to Relational Data Mining: Early Results (2012) (4)
- CaNDis: a web server for investigation of causal relationships between diseases, drugs and drug targets (2020) (4)
- Incremental revision of biological networks from texts (2013) (3)
- Bisociative Literature-Based Discovery: Lessons Learned and New Word Embedding Approach (2020) (3)
- Stochastic search in inductive concept learning (1992) (3)
- Bisociative Knowledge Discovery for Cross-domain Literature Mining (2019) (3)
- Network Ranking Assisted Semantic Data Mining (2016) (3)
- ReliefE: feature ranking in high-dimensional spaces via manifold embeddings (2021) (3)
- Efficient Visualization of Document Streams (2010) (3)
- Targeted End-to-End Knowledge Graph Decomposition (2018) (3)
- Symbolic Graph Embedding Using Frequent Pattern Mining (2019) (3)
- Deep Node Ranking: an Algorithm for Structural Network Embedding and End-to-End Classification (2019) (3)
- european Conference on Machine Learning and Principles and PRACTICe of Knowledge Discovery in Databases eCML PKDD 2011 (2011) (3)
- Text mining platform for NLP workflow design, replication and reuse (2015) (3)
- Interpreting Gene Expression Data by Searching for Enriched Gene Sets (2007) (3)
- Supporting Factors in Descriptive Analysis of Brain Ischaemia (2007) (3)
- Noise Elimination Applied to Early Diagnosis of Rheumatic Diseases (1997) (3)
- Semantic Reasoning from Model-Agnostic Explanations (2021) (3)
- A Decision Support Approach to Trust Modeling in Networked Organizations (2005) (3)
- Diagnosis of sport injuries with machine learning: explanation of induced decisions (1997) (3)
- Pruning of Rules and Rule Sets (2012) (3)
- Primary health-care network monitoring: a hierarchical resource allocation modeling approach. (2010) (3)
- Deep Node Ranking: Structural Network Embedding and End-to-End Node Classification (2019) (3)
- Identification of Gender Specific Biomarkers for Alzheimer's Disease (2015) (3)
- Data Mining for Decision Support: An Application in Public Health Care (2005) (3)
- HCI Empowered Literature Mining for Cross-Domain Knowledge Discovery (2013) (3)
- Supervised Descriptive Rule Learning (2012) (2)
- Local Patterns: Theory and Practice of Constraint-Based Relational Subgroup Discovery (2004) (2)
- Hierarchical Clustering of Multiple Decision Trees (2002) (2)
- Resource Modeling and Analysis of Regional Public Health Care Data by Means of Knowledge Technologies (2005) (2)
- Proceedings of the 7th International Workshop on Inductive Logic Programming (1997) (2)
- Incremental Construction of Biological Networks by Relation Extraction from Literature (2015) (2)
- Consensus Decision Trees: Using Consensus Hierarchical Clustering for Data Relabelling and Reduction (2001) (2)
- Semantic Subgroup Discovery and Cross-Context Linking for Microarray Data Analysis (2012) (2)
- Beyond Concept Learning (2012) (2)
- Handling Unknown and Imprecise Attribute Values in Propositional Rule Learning: A Feature-Based Approach (2008) (2)
- Bisociative Literature-Based Discovery: Lessons Learned and New Prospects (2020) (2)
- Towards Service-Oriented Knowledge Discovery A Case Study (2008) (2)
- Towards Multiview Approach to Parkinson ’ s Disease Quality of Life Data Analysis (2016) (2)
- Combining Multitask Learning and Short Time Series Analysis in Parkinson's Disease Patients Stratification (2017) (2)
- Proceedings of the 18th international conference on Inductive Logic Programming (2008) (2)
- Gene expression data analysis using closed item set mining for labeled data. (2010) (2)
- Prioritization of COVID-19-Related Literature via Unsupervised Keyphrase Extraction and Document Representation Learning (2021) (2)
- On the Design of Knowledge Discovery Services Design Patterns and Their Application in a Use Case Implementation (2008) (2)
- Towards Narrative Ideation via Cross-Context Link Discovery Using Banded Matrices (2013) (2)
- Propositionalization of Relational Data (2021) (2)
- Constraint-driven optimization of plant defense model parameters (2012) (2)
- Analysis of Text-Enriched Heterogeneous Information Networks (2016) (2)
- Exploratory clustering for patient subpopulation discovery (2017) (2)
- New Cross-Talks between Pathways Involved in Grapevine Infection with ‘Candidatus Phytoplasma solani’ Revealed by Temporal Network Modelling (2021) (2)
- Scientific Question Generation: Pattern-Based and Graph-Based RoboCHAIR Methods (2021) (2)
- Connection Between the Parkinson's Disease Subtypes and Patients' Symptoms Progression (2019) (2)
- Plant defence model revisions through iterative minimisation of constraint violations (2014) (2)
- Explaining mixture models through semantic pattern mining and banded matrix visualization (2016) (1)
- Link Analysis meets Ontologies: Are Embeddings the Answer? (2021) (1)
- Modelling a Biological System: Network Creation by Triplet Extraction from Biological Literature (2012) (1)
- Part 1: Introduction to Semantic Data Mining (SDM) (2011) (1)
- SolEuNet: Selected Data Mining Techniques and Applications (2005) (1)
- Learning Rule Sets (2012) (1)
- Analysis of the NETSCIENCE Social Network (2015) (1)
- Decompositions, dependencies, and Bayesian networks (1999) (1)
- Using Ontologies in Semantic Data Mining with g-SEGS and Aleph (2011) (1)
- A Lemmatization Web Service Based on Machine Learning Techniques (2005) (1)
- Visualization and Analysis of Parkinson's Disease Status and Therapy Patterns (2018) (1)
- Analysis of Gene Expression Data by the Logic Minimization Approach (2003) (1)
- Redescription mining augmented with random forest of multi-target predictive clustering trees (2017) (1)
- A Reply to Pazzani's Book Review of "Inductive Logic Programming: Techniques and Applications" (2005) (1)
- Irregularity Detection in Categorized Document Corpora (2012) (1)
- Correction to: Analysis of medications change in Parkinson’s disease progression data (2018) (1)
- Knowledge discovery in databases : PKDD 2003 : 7th European Conference on Principles and Practice of Knowledge Discovery in Databases, Cavtat-Dubrovnik, Croatia, September 22-26, 2003 : proceedings (2003) (1)
- Evaluating Outliers for Cross-Context Link Discovery (2011) (1)
- Empowering Bridging Term Discovery for Cross-Domain Literature Mining in the TextFlows Platform (2016) (1)
- Visual divisive hierarchical clustering using k-means (2012) (1)
- Conceptual Representations for Concept Creation (2019) (1)
- Applications and Evaluation: Overview (2012) (1)
- Advances in Data Mining for Biomedical Research (2012) (1)
- Data Presentation Methods for Monitoring a Public Health-Care System (2007) (1)
- Introduction to Representation Learning (2021) (1)
- Preprocessing by a Cost-Sensitive Literal Reduction Algorithm: Reduce (1997) (1)
- Global Energy Minimization of Small Molecules Combining Constraint Logic Programming and Molecular Mechanics (1997) (1)
- Special issue on inductive logic programming 97 (1999) (1)
- Knowledge Discovery Using a Service Oriented Web Application (2012) (1)
- Supporting a Public Health Care Virtual Organization by Knowledge Technologies (2004) (1)
- Semi-supervised Constrained Clustering: An Expert-Guided Data Analysis Methodology (2010) (1)
- Supporting the search for cross-context links by outlier detection methods (2010) (1)
- Computational Creativity in Slovenia (2018) (1)
- A reply to Pazzani's book review of “Inductive Logic Programming: Techniques and Applications” (1996) (1)
- Integrating semantic transcriptomic data analysis and knowledge extraction from biological literature (2013) (1)
- Machine Learning Background (2021) (0)
- Data mining for decision support: Supporting marketing decisions through subgroup discovery (2003) (0)
- Heterogeneous Network Decomposition and Weighting with Text Mining Heuristics (2015) (0)
- S Supervised Descriptive Rule Induction (2016) (0)
- Discovering dependencies between domains of redox potential and plant defence through triplet extraction and copulas (2018) (0)
- PubMed-Scale Chemical Concept Embeddings Reconstruct Physical Protein Interaction Networks (2021) (0)
- Proceedings of the CompulogNet area meeting on representation issues in reasoning and learning (1997) (0)
- Knowledge graph aware text classification (2020) (0)
- Challenges for Inductive Logic Programming (1999) (0)
- DDeMON: Ontology-based function prediction by Deep Learning from Dynamic Multiplex Networks (2023) (0)
- Summarizing gene-expression-based classifiers by meta-mining comprehensible relational patterns (2006) (0)
- Many Faces of Representation Learning (2021) (0)
- Efficient Generation of Biologically Relevant Enriched Gene Sets (2007) (0)
- Identification of clusters of rapid and slow decliners among subjects at risk for Alzheimer’s disease (2017) (0)
- Relational Pattern and Subgroup Discovery in CAD documents (2007) (0)
- HINMINE: heterogeneous information network mining with information retrieval heuristics (2017) (0)
- Proceedings of the 7th international conference on Intelligent data analysis (2007) (0)
- Lessons Learned From Data Mining, Decision Support and Collaboration (2003) (0)
- Discovery Science, 9th International Conference, DS 2006, Barcelona, Spain, October 7-10, 2006, Proceedings (2006) (0)
- Bisociative Knowledge Discovery via B-term Identification [Odkrivanje bisociativnega znanja (2010) (0)
- Learning Single Rules (2012) (0)
- Semantic Mapping (2010) (0)
- Homogeneous clusters of Alzheimer’s disease patient population (2016) (0)
- Discovery of Relevant Response in Infected Potato Plants from Time Series of Gene Expression Data (2019) (0)
- Graph and Heterogeneous Network Transformations (2021) (0)
- Unified Representation Learning Approaches (2021) (0)
- Towards Explainable Relational Boosting via Propositionalization (2021) (0)
- Prolog through examples (1988) (0)
- Representation Learning (2021) (0)
- Analysis of complex sentiment on social networks (2016) (0)
- NeSyChair: Automatic Conference Scheduling Combining Neuro-Symbolic Representations and Constrained Clustering (2022) (0)
- Feature Importance Estimation with Self-Attention Networks (2020) (0)
- Transfer Learning for Node Regression Applied to Spreading Prediction (2021) (0)
- Ontology Completion with Graph-Based Machine Learning: A Comprehensive Evaluation (2022) (0)
- Exploratory Analysis of the Social Network of Researchers in Inductive Logic Programming (2010) (0)
- Automating the Calibration of a Neonatal Condition Monitoring System (2011) (0)
- Propositionalization and embeddings: two sides of the same coin (2020) (0)
- Detection of dependencies between literature domains through relation extraction and copulas (2016) (0)
- Using subgroup discovery to analyze the UK traffic data (2004) (0)
- 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 (0)
- Gene Analytics: Discovery and Contextualization of Enriched Gene Sets (2009) (0)
- Semantic subgroup explanations (2013) (0)
- Conceptualising Computational Creativity: Towards automated historiography of a research field (2018) (0)
- Guest editors’ introduction: Special issue on Inductive Logic Programming (ILP-2008) (2009) (0)
- Towards Creative Software Blending: Computational Infrastructure and Use Cases (2018) (0)
- Deep node ranking for neuro‐symbolic structural node embedding and classification (2019) (0)
- Ensemble-based noise detection: noise ranking and visual performance evaluation (2013) (0)
- Formal Framework for Rule Analysis (2012) (0)
- Relevancy constraints revisited in ROC space (0)
- Stratification of Parkinson's Disease Patients via Multi-view Clustering (2021) (0)
- Proceedings of the 13th conference on Artificial intelligence in medicine (2011) (0)
- CBSSD: community-based semantic subgroup discovery (2019) (0)
- Multiple Predicate Learning in TwoInductive Logic (2007) (0)
- Multi-view Clustering with mvReliefF for Parkinson's Disease Patients Subgroup Detection (2020) (0)
- Proceedings of the 9th international conference on Discovery Science (2001) (0)
- Dynamic Parameter Adaptation of SVM Based Active Learning Methodology (2016) (0)
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