Tapio Pahikkala

Effect of oat β-glucan of different molecular weights on fecal bile acids, urine metabolites and pressure in the digestive tract – A human cross over trial (2020)

Food Chemistry

Hakkola S., Nylund L., Rosa-Sibakov N., Yang B., Nordlund E., Pahikkala T., Kalliomäki M., Aura A.M., Linderborg K.M.

(A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä)

Optimized reference spectrum for rating the facade sound insulation (2020)

Journal of the Acoustical Society of America

Virjonen P, Hongisto V, Mäkelä MM, Pahikkala T

(A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä)

Prostate Cancer Risk Stratification in Men With a Clinical Suspicion of Prostate Cancer Using a Unique Biparametric MRI and Expression of 11 Genes in Apparently Benign Tissue: Evaluation Using Machine-Learning Techniques (2020)

Journal of Magnetic Resonance Imaging

Ileana Montoya Perez, Ivan Jambor, Tapio Pahikkala, Antti Airola, Harri Merisaari, Jani Saunavaara, Saeid Alinezhad, Riina-Minna Väänänen, Terhi Tallgrén, Janne Verho, Aida Kiviniemi, Otto Ettala, Juha Knaapila, Kari T. Syvänen, Markku Kallajoki, Paula Vainio, Hannu J. Aronen, Kim Pettersson, Peter J. Boström, Pekka Taimen

(A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä)

Towards dynamic forest trafficability prediction using open spatial data, hydrological modelling and sensor technology (2020)

Forestry

Aura Salmivaara, Samuli Launiainen, Jari Perttunen, Paavo Nevalainen, Jonne Pohjankukka, Jari Ala-Ilomäki, Matti Sirén, Ari Laurén, Sakari Tuominen, Jori Uusitalo, Tapio Pahikkala, Jukka Heikkonen, Leena Finér

(A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä)

Synthetic minority oversampling of vital statistics data with generative adversarial networks (2020)

Journal of the American Medical Informatics Association

Aki Koivu, Mikko Sairanen, Antti Airola, Tapio Pahikkala

(A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä)

Bayesian Inference for Predicting the Monetization Percentage in Free-to-Play Games (2020)

IEEE Transactions on Games

Numminen R, Viljanen MJ, Pahikkala T

(A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä)

Algebraic shortcuts for leave-one-out cross-validation in supervised network inference (2020)

Briefings in Bioinformatics

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

(A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä)

Developing a pain intensity prediction model using facial expression: A feasibility study with electromyography (2020)

PLoS ONE

Mieronkoski R, Syrjälä E, Jiang M, Rahmani A, Pahikkala T, Liljeberg P, Salanterä S

(A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä)

GeFeS: A generalized wrapper feature selection approach for optimizing classification performance (2020)

Computers in Biology and Medicine

Golnaz Sahebi, Parisa Movahedi, Masoumeh Ebrahimi, Tapio Pahikkala, Juha Plosila, Hannu Tenhunen

(A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä)

Predicting Unemployment with Machine Learning Based on Registry Data (2020)

Lecture Notes in Business Information Processing

Markus Viljanen, Tapio Pahikkala

(A4 Artikkeli konferenssijulkaisussa)

Ota yhteyttä

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Effect of oat β-glucan of different molecular weights on fecal bile acids, urine metabolites and pressure in the digestive tract – A human cross over trial (2020)

Optimized reference spectrum for rating the facade sound insulation (2020)

Prostate Cancer Risk Stratification in Men With a Clinical Suspicion of Prostate Cancer Using a Unique Biparametric MRI and Expression of 11 Genes in Apparently Benign Tissue: Evaluation Using Machine-Learning Techniques (2020)

Towards dynamic forest trafficability prediction using open spatial data, hydrological modelling and sensor technology (2020)

Synthetic minority oversampling of vital statistics data with generative adversarial networks (2020)

Bayesian Inference for Predicting the Monetization Percentage in Free-to-Play Games (2020)

Algebraic shortcuts for leave-one-out cross-validation in supervised network inference (2020)

Developing a pain intensity prediction model using facial expression: A feasibility study with electromyography (2020)

GeFeS: A generalized wrapper feature selection approach for optimizing classification performance (2020)

Predicting Unemployment with Machine Learning Based on Registry Data (2020)