Antti Airola

Enzyme annotation using conditional ranking algorithms (2014)

Annual machine learning conference of Belgium and the Netherlands

Michiel Stock, Bernard De Baets, Willem Waegeman, Thomas Fober, Eyke Hüllermeier, Tapio Pahikkala, Antti Airola

(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))

On Parallel Online Learning for Adaptive Embedded Systems (2014)

Tapio Pahikkala, Antti Airola, Thomas Canhao Xu, Pasi Liljeberg, Hannu Tenhunen, Tapio Salakoski

(Vertaisarvioitu artikkeli kokoomateoksessa (A3))

A two-step learning approach for solving full and almost full cold start problems in dyadic prediction (2014)

The European Conferences on Machine Learning (ECML) and on Principles and Practice of Knowledge Discovery in Data Bases (PKDD), Lecture Notes in Computer Science

Tapio Pahikkala, Michiel Stock, Antti Airola, Tero Aittokallio, Bernard De Baets, Willem Waegeman

(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))

Efficient regularized least-squares algorithms for conditional ranking on relational data (2013)

Machine Learning

Pahikkala T, Airola A, Stock M, De Baets B, Waegeman W

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

Analyzing the Japanese Toxicogenomics Project Dataset with SVM and RLS Classifiers (2013)

Björne J, Airola A, Pahikkala T, Salakoski T

(O2 Muu julkaisu )

Parallel Feature Selection for Regularized Least-Squares (2013)

Lecture Notes in Computer Science

Sebastian Okser, Antti Airola, Tero Aittokallio, Tapio Salakoski, Tapio Pahikkala

(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))

Statistical Parsing of Varieties of Clinical Finnish (2013)

International louhi workshop on health document text mining and information analysis

Laippala V, Viljanen T, Airola A, Nyblom J, Salanterä S, Salakoski T, Ginter F

(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))

A Machine Learning Approach Towards Early Detection of Frequent Health Care Users (2013)

International Louhi Workshop on Health Document Text Mining and Information Analysis

Antti Airola, Tapio Pahikkala, Heljä Lundgrén-Laine, Anne Santalahti, Päivi Rautava, Sanna Salanterä, Tapio Salakoski

(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))

Pairwise kernel methods for predicting molecular interactions (2013)

Stock M, Pahikkala T, Airola A, De Baets B, Waegeman W

(O2 Muu julkaisu )

Wrapper-based selection of genetic features in genome-wide association studies through fast matrix operations (2012)

Algorithms for Molecular Biology

Pahikkala T, Okser S, Airola A, Salakoski T, Aittokallio T

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

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Enzyme annotation using conditional ranking algorithms (2014)

On Parallel Online Learning for Adaptive Embedded Systems (2014)

A two-step learning approach for solving full and almost full cold start problems in dyadic prediction (2014)

Efficient regularized least-squares algorithms for conditional ranking on relational data (2013)

Analyzing the Japanese Toxicogenomics Project Dataset with SVM and RLS Classifiers (2013)

Parallel Feature Selection for Regularized Least-Squares (2013)

Statistical Parsing of Varieties of Clinical Finnish (2013)

A Machine Learning Approach Towards Early Detection of Frequent Health Care Users (2013)

Pairwise kernel methods for predicting molecular interactions (2013)

Wrapper-based selection of genetic features in genome-wide association studies through fast matrix operations (2012)