Antti Airola

Generalized vec trick for fast learning of pairwise kernel models (2022)

Machine Learning

Viljanen Markus, Airola Antti, Pahikkala Tapio

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

Cardiac Time Intervals Derived from Electrocardiography and Seismocardiography in Different Patient Groups (2022)

Computing in Cardiology, Computing in Cardiology

Elnaggar Ismail, Pykäri Jouni, Hurnanen Tero, Lahdenoja Olli, Airola Antti, Kaisti Matti, Vasankari Tuija, Savontaus Mikko, Koivisto Tero

(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))

Striving for platform independence in the e-learning landscape: a study on a flexible exercise creation system (2022)

International Conference on Advanced Learning Technologies, IEEE International Conference on Advanced Learning Technologies

Laato Samuli, Murtojärvi Mika, Airola Antti, Björne Jari

(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))

Detecting Aortic Stenosis Using Seismocardiography and Gryocardiography Combined with Convolutional Neural Networks (2021)

Computing in Cardiology, Computing in Cardiology

Elnaggar Ismail, Hurnanen Tero, Lahdenoja Olli, Airola Antti, Kaisti Matti, Vasankari Tuija, Pykäri Jouni, Savontaus Mikko, Koivisto Tero

(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))

Adaptive risk prediction system with incremental and transfer learning (2021)

Computers in Biology and Medicine

Koivu Aki, Sairanen Mikko, Airola Antti, Pahikkala Tapio, Leung Wing-cheong, Lo Tsz-kin, Sahota Daljit Singh

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

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

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

Cost-effective survival prediction for patients with advanced prostate cancer using clinical trial and real-world hospital registry datasets (2020)

International Journal of Medical Informatics

Mika Murtojärvi, Anni S. Halkola, Antti Airola, Teemu D. Laajala, Tuomas Mirtti, Tero Aittokallio, Tapio Pahikkala

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

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

Juliacon 2020

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

(Muu (O2))

Robust ECG R-peak detection using LSTM (2020)

ACM Symposium on Applied Computing

Laitala J., Jiang M., Syrjälä E., Naeini E.K., Airola A., Rahmani A.M., Dutt N.D., Liljeberg P.

(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))

AI in Cybersecurity Education- A Systematic Literature Review of Studies on Cybersecurity MOOCs (2020)

International Conference on Advanced Learning Technologies, IEEE International Conference on Advanced Learning Technologies

Samuli Laato, Ali Farooq, Henri Tenhunen, Tinja Pitkämäki, Antti Hakkala, Antti Airola

(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))

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Generalized vec trick for fast learning of pairwise kernel models (2022)

Cardiac Time Intervals Derived from Electrocardiography and Seismocardiography in Different Patient Groups (2022)

Striving for platform independence in the e-learning landscape: a study on a flexible exercise creation system (2022)

Detecting Aortic Stenosis Using Seismocardiography and Gryocardiography Combined with Convolutional Neural Networks (2021)

Adaptive risk prediction system with incremental and transfer learning (2021)

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

Cost-effective survival prediction for patients with advanced prostate cancer using clinical trial and real-world hospital registry datasets (2020)

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

Robust ECG R-peak detection using LSTM (2020)

AI in Cybersecurity Education- A Systematic Literature Review of Studies on Cybersecurity MOOCs (2020)