Antti Airola

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))

Higher Education during Lockdown: Literature Review and Implications on Technology Design (2022)

Education Research International

Laato Samuli, Farooq Ali, Vilppu Henna, Airola Antti, Murtonen Mari

(Vertaisarvioitu katsausartikkeli tieteellisessä aikakauslehdessä (A2))

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))

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))

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

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

Propagating AI Knowledge Across University Disciplines- The Design of A Multidisciplinary AI Study Module (2020)

Frontiers in Education Conference, Frontiers in Education Conference

Samuli Laato, Henna Vilppu, Juho Heimonen, Antti Hakkala, Jari Björne, Ali Farooq, Tapio Salakoski, Antti Airola

(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))

Classification of Atrial Fibrillation and Acute Decompensated Heart Failure Using Smartphone Mechanocardiography: A Multi-label Learning Approach (2020)

IEEE Sensors Journal

Saeed Mehrang, Olli Lahdenoja, Matti Kaisti, Mojtaba Jafari Tadi, Tero Hurnanen, Antti Airola, Timo Knuutila, Jussi Jaakkola, Samuli Jaakkola, Tuija Vasankari, Tuomas Kiviniemi, Juhani Airaksinen, Tero Koivisto, Mikko Pänkäälä

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

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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)

Higher Education during Lockdown: Literature Review and Implications on Technology Design (2022)

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

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

Robust ECG R-peak detection using LSTM (2020)

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

Propagating AI Knowledge Across University Disciplines- The Design of A Multidisciplinary AI Study Module (2020)

Classification of Atrial Fibrillation and Acute Decompensated Heart Failure Using Smartphone Mechanocardiography: A Multi-label Learning Approach (2020)