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Approximate subgraph matching-based literature mining for biomedical events and relations

PloS one, 2013-04, Vol.8 (4), p.e60954-e60954

2013

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Social Media Corporate User Identification Using Text Classification

Advances in Artificial Intelligence, p.363-368

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Integrating Web Content Clustering into Web Log Association Rule Mining

Advances in Artificial Intelligence, 2005, p.182-193

2005

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Twitter User Profiling: Bot and Gender Identification: Notebook for PAN at CLEF 2019

Experimental IR Meets Multilinguality, Multimodality, and Interaction, p.141-153

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EXPLORING A SUBGRAPH MATCHING APPROACH FOR EXTRACTING BIOLOGICAL EVENTS FROM LITERATURE

Computational intelligence, 2014-08, Vol.30 (3), p.600-635

2014

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Exploratory Visual Analysis and Interactive Pattern Extraction from Semi-Structured Data

ACM transactions on interactive intelligent systems, 2015-10, Vol.5 (3), p.1-36

2015

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Domain-Specific Semantic Relatedness from Wikipedia Structure: A Case Study in Biomedical Text

Computational Linguistics and Intelligent Text Processing, p.347-360

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Towards the Theory of Relaxed Unification

Lecture notes in computer science, 2003, p.397-401

2003

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Do Important Words in Bag-of-Words Model of Text Relatedness Help?

Text, Speech, and Dialogue, p.569-577

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Vector Space Representation of Concepts Using Wikipedia Graph Structure

Natural Language Processing and Information Systems, p.393-405

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Question Answering Using Unification-Based Grammar

Advances in Artificial Intelligence, 2001, p.297-306

KESELJ, Vlado

2001

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Financial Forecasting Using Character N-Gram Analysis and Readability Scores of Annual Reports

Advances in Artificial Intelligence, p.39-51

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Data Mining Techniques for Proactive Fault Diagnostics of Electronic Gaming Machines

Advances in Artificial Intelligence, Vol.6085, p.366-369

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MeSH Represented MEDLINE Query Results

Advances in Artificial Intelligence, Vol.6085, p.75-86

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Optimizing a Pseudo Financial Factor Model with Support Vector Machines and Genetic Programming

Advances in Artificial Intelligence, p.191-194

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Using Google n-Grams to Expand Word-Emotion Association Lexicon

Computational Linguistics and Intelligent Text Processing, p.137-148

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Selective Retrieval for Categorization of Semi-structured Web Resources

Advances in Artificial Intelligence, p.126-137

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From computational intelligence to Web intelligence

Computer (Long Beach, Calif.), 2002-11, Vol.35 (11), p.72-76

2002

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IEEE_Xplore

Representation Learning for Sparse, High Dimensional Multi-label Classification

Rough Sets and Current Trends in Computing, p.463-470

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Evaluation of n-Gram-Based Classification Approaches on Classical Music Corpora

Mathematics and Computation in Music, p.213-225

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Text Similarity Using Google Tri-grams

Advances in Artificial Intelligence, p.312-317

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N-Gram Based Approach for Automatic Prediction of Essay Rubric Marks

Advances in Artificial Intelligence, p.298-303

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Grammar model and grammar induction in the system NL PAGE

Grammatical Inference, 2006, p.57-66

KESELJ, V

2006

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Analysis of Important Factors for Measuring Similarity of Symbolic Music Using n-gram-Based, Bag-of-Words Approach

Advances in Artificial Intelligence, p.230-241

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Speech and Language Processing (second edition) Daniel Jurafsky and James H. Martin (Stanford University and University of Colorado at Boulder) Pearson Prentice Hall, 2009, xxxi+988 pp; hardbound, ISBN 978-0-13-187321-6, $115.00

Computational Linguistics, 2009, Vol.35 (3), p.463-466

Keselj, Vlado

2009

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Approximate subgraph matching-based literature mining for biomedical events and relations

Social Media Corporate User Identification Using Text Classification

Integrating Web Content Clustering into Web Log Association Rule Mining

Twitter User Profiling: Bot and Gender Identification: Notebook for PAN at CLEF 2019

EXPLORING A SUBGRAPH MATCHING APPROACH FOR EXTRACTING BIOLOGICAL EVENTS FROM LITERATURE

Exploratory Visual Analysis and Interactive Pattern Extraction from Semi-Structured Data

Domain-Specific Semantic Relatedness from Wikipedia Structure: A Case Study in Biomedical Text

Towards the Theory of Relaxed Unification

Do Important Words in Bag-of-Words Model of Text Relatedness Help?

Vector Space Representation of Concepts Using Wikipedia Graph Structure

Question Answering Using Unification-Based Grammar

Financial Forecasting Using Character N-Gram Analysis and Readability Scores of Annual Reports

Data Mining Techniques for Proactive Fault Diagnostics of Electronic Gaming Machines

MeSH Represented MEDLINE Query Results

Optimizing a Pseudo Financial Factor Model with Support Vector Machines and Genetic Programming

Using Google n-Grams to Expand Word-Emotion Association Lexicon

Selective Retrieval for Categorization of Semi-structured Web Resources

From computational intelligence to Web intelligence

Representation Learning for Sparse, High Dimensional Multi-label Classification

Evaluation of n-Gram-Based Classification Approaches on Classical Music Corpora

Text Similarity Using Google Tri-grams

N-Gram Based Approach for Automatic Prediction of Essay Rubric Marks

Grammar model and grammar induction in the system NL PAGE

Analysis of Important Factors for Measuring Similarity of Symbolic Music Using n-gram-Based, Bag-of-Words Approach

Speech and Language Processing (second edition) Daniel Jurafsky and James H. Martin (Stanford University and University of Colorado at Boulder) Pearson Prentice Hall, 2009, xxxi+988 pp; hardbound, ISBN 978-0-13-187321-6, $115.00

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