Antti Airola

Comparison of automatic summarisation methods for clinical free text notes (2016)

Artificial Intelligence in Medicine

Hans Moen, Laura-Maria Peltonen, Juho Heimonen, Antti Airola, Tapio Pahikkala, Tapio Salakoski, Sanna Salanterä

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

Modelling User Retention in Mobile Games (2016)

IEEE Conference on Computational Intelligence and Games

Markus Viljanen, Antti Airola, Tapio Pahikkala, Jukka Heikkonen

(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))

Circulating Cytokines Predict the Development of Insulin Resistance in a Prospective Finnish Population Cohort (2016)

Journal of Clinical Endocrinology and Metabolism

Santalahti K, Maksimow M, Airola A, Pahikkala T, Hutri-Kähönen N, Jalkanen S, Raitakari OT, Salmi M

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

Toward more realistic drug-target interaction predictions (2015)

Briefings in Bioinformatics

Tapio Pahikkala, Antti Airola, Sami Pietilä, Sushil Shakyawar, Agnieszka Szwajda, Jing Tang, Tero Aittokallio

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

Learning Low Cost Multi-target Models by Enforcing Sparsity (2015)

28th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems (IEA/AIE)

Naula P, Airola A, Salakoski T, Pahikkala T

(Vertaisarvioitu artikkeli kokoomateoksessa (A3))

A Low-Overhead, Fully-Distributed, Guaranteed-Delivery Routing Algorithm for Faulty Network-on-Chips (2015)

International symposium on networks-on-chip

Mohammad Fattah, Antti Airola, Rachata Ausavarungnirun, Nima Mirzaei, Pasi Liljeberg, Juha Plosila, Siamak Mohammadi, Tapio Pahikkala, Onur Mutlu, Hannu Tenhunen

(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))

Regularized Machine Learning in the Genetic Prediction of Complex Traits (2014)

PLoS Genetics

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

(Vertaisarvioitu katsausartikkeli tieteellisessä aikakauslehdessä (A2))

Statistical parsing of varieties of clinical Finnish (2014)

Artificial Intelligence in Medicine

Veronika Laippala, Timo Viljanen, Antti Airola, Jenna Kanerva, Sanna Salanterä, Tapio Salakoski, Filip Ginter

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

Efficient optimization approaches for pairwise ranking losses (2014)

Dagstuhl Reports

Antti Airola

(Muu (O2))

Ota yhteyttä

Linkit

Asiantuntijuusalueet

Julkaisut

Järjestä:

Comparison of automatic summarisation methods for clinical free text notes (2016)

Modelling User Retention in Mobile Games (2016)

Circulating Cytokines Predict the Development of Insulin Resistance in a Prospective Finnish Population Cohort (2016)

Toward more realistic drug-target interaction predictions (2015)

Learning Low Cost Multi-target Models by Enforcing Sparsity (2015)

A Low-Overhead, Fully-Distributed, Guaranteed-Delivery Routing Algorithm for Faulty Network-on-Chips (2015)

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

Regularized Machine Learning in the Genetic Prediction of Complex Traits (2014)

Statistical parsing of varieties of clinical Finnish (2014)

Efficient optimization approaches for pairwise ranking losses (2014)