Antti Airola

Conditional Ranking on Relational Data (2010)

Lecture Notes in Computer Science

Pahikkala T, Waegeman W, Airola A, Salakoski T, De Baets B

(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))

A comparison of {AUC} estimators in small-sample studies (2010)

Journal of Machine Learning Research

Airola A, Pahikkala T, Waegeman W, De Baets B, Salakoski T

(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))

A comparison of AUC estimators in small-sample studies (2010)

JMLR workshop and conference proceedings

Airola A, Pahikkala T, Waegeman W, De Baets B, Salakoski T

(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))

Feature Selection for Regularized Least-Squares: New Computational Short-Cuts and Fast Algorithmic Implementations (2010)

Pahikkala T, Airola A, Salakoski T

(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))

An efficient algorithm for learning to rank from preference graphs (2009)

Machine Learning

Pahikkala T, Tsivtsivadze E, Airola A, Jarvinen J, Boberg J

(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))

Extracting Complex Biological Events with Rich Graph-Based Feature Sets (2009)

BioNLP Workshop

Björne J, Heimonen J, Ginter F, Airola A, Pahikkala T, Salakoski T

(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))

Exact and Efficient Leave-Pair-Out Cross-Validation for Ranking RLS (2008)

Pahikkala T, Airola A, Boberg J, Salakoski T

(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))

All-paths graph kernel for protein-protein interaction extraction with evaluation of cross-corpus learning (2008)

BMC Bioinformatics

Airola A, Pyysalo S, Bjorne J, Pahikkala T, Ginter F, Salakoski T

(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))

Regularized Least-Squares for Learning Non-Transitive Preferences between Strategies (2008)

13th Finnish Artificial Intelligence Conference, Publications of the Finnish Artificial Intelligence Society

Pahikkala T, Tsivtsivadze E, Airola A, Salakoski T

(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))

Machine Learning to Automate the Assignment of Diagnosis Codes to Free-text Radiology Reports: a Method Description (2008)

ICML/UAI workshop on Machine Learning in health care applications

Suominen H, Ginter F, Pyysalo S, Airola A, Pahikkala T, Salanterä S, Salakoski T

(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))

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Conditional Ranking on Relational Data (2010)

A comparison of {AUC} estimators in small-sample studies (2010)

A comparison of AUC estimators in small-sample studies (2010)

Feature Selection for Regularized Least-Squares: New Computational Short-Cuts and Fast Algorithmic Implementations (2010)

An efficient algorithm for learning to rank from preference graphs (2009)

Extracting Complex Biological Events with Rich Graph-Based Feature Sets (2009)

Exact and Efficient Leave-Pair-Out Cross-Validation for Ranking RLS (2008)

All-paths graph kernel for protein-protein interaction extraction with evaluation of cross-corpus learning (2008)

Regularized Least-Squares for Learning Non-Transitive Preferences between Strategies (2008)

Machine Learning to Automate the Assignment of Diagnosis Codes to Free-text Radiology Reports: a Method Description (2008)