Tapio Pahikkala

Modeling drug combination effects via latent tensor reconstruction (2021)

Wang Tianduanyi, Szedmak Sandor,Wang Haishan, Aittokallio Tero, Pahikkala Tapio, Cichonska Anna,Rousu Juho

(A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä)

Detection of Prostate Cancer Using Biparametric Prostate MRI, Radiomics, and Kallikreins: A Retrospective Multicenter Study of Men With a Clinical Suspicion of Prostate Cancer (2021)

Journal of Magnetic Resonance Imaging

Perez IM, Merisaari H, Jambor I, Ettala O, Taimen P, Knaapila J, Kekki H, Khan FL, Syrjälä E, Steiner A, Syvänen KT, Verho J, Seppänen M, Rannikko A, Riikonen J, Mirtti T, Lamminen T, Saunavaara J, Falagario U, Martini A, Pahikkala T, Pettersson K, Boström PJ, Aronen HJ

(A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä)

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 (2021)

Food Chemistry

Hakkola Salla, Nylund Lotta, Rosa-Sibakov Natalia, Yang Baoru, Nordlund Emilia, Pahikkala Tapio, Kalliomäki Marko, Aura Anna-Maija, Linderborg Kaisa M.

(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)

A general-purpose toolbox for efficient Kronecker-based learning (2020)

Juliacon 2020

Michiel Stock, Tapio Pahikkala, Antti Airola, Bernard De Baets

(O2 Muu)

Prediction of prostate cancer aggressiveness using 18 F-Fluciclovine (FACBC) PET and multisequence multiparametric MRI (2020)

Scientific Reports

Movahedi P, Merisaari H, Perez IM, Taimen P, Kemppainen J, Kuisma A, Eskola O, Teuho J, Saunavaara J, Pesola M, Kähkönen E, Ettala O, Liimatainen T, Pahikkala T, Boström P, Aronen H, Minn H, Jambor I

(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)

Predicting profitability of peer-to-peer loans with recovery models for censored data (2020)

International Conference on Intelligent Decision Technologies, International Conference on Intelligent Decision Technologies

Markus Viljanen, Ajay Byanjankar, Tapio Pahikkala

(A4 Artikkeli konferenssijulkaisussa)

Measuring Player Retention and Monetization Using the Mean Cumulative Function (2020)

IEEE Transactions on Games

Markus Viljanen, Antti Airola, Anne-Maarit Majanoja, Jukka Heikkonen, Tapio Pahikkala

(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)

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Modeling drug combination effects via latent tensor reconstruction (2021)

Detection of Prostate Cancer Using Biparametric Prostate MRI, Radiomics, and Kallikreins: A Retrospective Multicenter Study of Men With a Clinical Suspicion of Prostate Cancer (2021)

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 (2021)

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

A general-purpose toolbox for efficient Kronecker-based learning (2020)

Prediction of prostate cancer aggressiveness using 18 F-Fluciclovine (FACBC) PET and multisequence multiparametric MRI (2020)

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

Predicting profitability of peer-to-peer loans with recovery models for censored data (2020)

Measuring Player Retention and Monetization Using the Mean Cumulative Function (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)