Tapio Pahikkala

On evaluation of automatically generated clinical discharge summaries (2014)

Practical Aspects of Health Informatics, CEUR Workshop Proceedings

Moen H., Heimonen J., Murtola L., Airola A., Pahikkala T., Terävä V., Danielsson-Ojala R., Salakoski T., Salanterä S.

(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))

BDMap: A Heuristic Application Mapping Algorithm for the Big Data Era (2014)

IEEE International Conference on Scalable Computing and Communications

Xu Thomas Canhao, Toivonen Jussi, Pahikkala Tapio, Leppänen Ville

(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))

Fast Gradient Computation for Learning with Tensor Product Kernels and Sparse Training Labels (2014)

Joint IAPR International Workshop, S+SSPR 2014, Lecture Notes in Computer Science

Tapio Pahikkala

(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))

Identification of functionally related enzymes by learning-to-rank methods (2014)

IEEE/ACM Transactions on Computational Biology and Bioinformatics

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

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

Fast and simple gradient-based optimization for semi-supervised support vector machines (2014)

Neurocomputing

Gieseke F, Airola A, Pahikkala T, Kramer O

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

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))

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))

On Unsupervised Training of Multi-Class Regularized Least-Squares Classifiers (2014)

Journal of Computer Science and Technology

Tapio Pahikkala, Antti Airola, Fabian Gieseke, Oliver Kramer

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

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))

Multi-Label Learning under Feature Extraction Budgets (2014)

Pattern Recognition Letters

Pekka Naula, Antti Airola, Tapio Salakoski, Tapio Pahikkala

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

Ota yhteyttä

Linkit

Julkaisut

Järjestä:

On evaluation of automatically generated clinical discharge summaries (2014)

BDMap: A Heuristic Application Mapping Algorithm for the Big Data Era (2014)

Fast Gradient Computation for Learning with Tensor Product Kernels and Sparse Training Labels (2014)

Identification of functionally related enzymes by learning-to-rank methods (2014)

Fast and simple gradient-based optimization for semi-supervised support vector machines (2014)

Enzyme annotation using conditional ranking algorithms (2014)

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

On Unsupervised Training of Multi-Class Regularized Least-Squares Classifiers (2014)

On Parallel Online Learning for Adaptive Embedded Systems (2014)

Multi-Label Learning under Feature Extraction Budgets (2014)