Antti Airola
D.Sc. (Tech.)
ajairo@utu.fi +358 29 450 4193 +358 50 517 8711 Vesilinnantie 5 Turku : 456H |
artificial intelligence; data analytics; machine learning; health technology
Antti Airola, is an Associate Professor (tenure track) of data science in the area of Health Technology at the University of Turku. He has co-authored over 100 peer-reviewed articles, won multiple international data science competitions, and received several research excellence awards such as the the HATUTUS award for the best PhD thesis in the area of pattern recognition in Finland (2010 - 2011) and IEEE Computational Intelligence Society Outstanding Transactions on Fuzzy Systems Paper award (2015). He is currently working as responsible leader in several EU and Research Council of Finland funded research projects.
As of 2025, he is acting as a deputy head of the department of computing.
Airola's main research areas are in the area of machine learning and data science, especially their applications in the health domain.
Airola is currently responsible for teaching the course Data Analysis and Knowledge Discovery, as well as thesis supervision work (BSc, MSc, PhD). He has developed materials for and taught in many courses in the area of data and computer science, is responsible for developing the curriculum for both national BSc and MSc Medical and health technology programmes, as well as the international MSc programme in Health technology, and directs the AI Academy that coordinates AI related teaching between the faculties.
- (2022)
- Machine Learning
- Higher Education during Lockdown: Literature Review and Implications on Technology Design (2022)
- Education Research InternationalComputing in Cardiology
- (2022)
- JMIR Medical InformaticsIEEE International Conference on Advanced Learning Technologies
- (2022)
- Computing in CardiologyIEEE Sensors Journal
- Quicksort leave-pair-out cross-validation for ROC curve analysis (2022)
- Computational Statistics
- Striving for platform independence in the e-learning landscape: a study on a flexible exercise creation system (2022)
- IEEE International Conference on Advanced Learning TechnologiesConference proceedings : Frontiers in Education Conference
- 2021
- Computers in Biology and Medicine
- Detecting Aortic Stenosis Using Seismocardiography and Gryocardiography Combined with Convolutional Neural Networks (2021)
- (2020) JuliaCon Proceedings Michiel Stock, Tapio Pahikkala, Antti Airola, Bernard De Baets
- AI in Cybersecurity Education- A Systematic Literature Review of Studies on Cybersecurity MOOCs (2020)
- Algebraic shortcuts for leave-one-out cross-validation in supervised network inference (2020)
- Briefings in Bioinformatics
- Classification of Atrial Fibrillation and Acute Decompensated Heart Failure Using Smartphone Mechanocardiography: A Multi-label Learning Approach (2020)
- 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
- Measuring Player Retention and Monetization Using the Mean Cumulative Function (2020)
- IEEE Transactions on Games
- Propagating AI Knowledge Across University Disciplines- The Design of A Multidisciplinary AI Study Module (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)
- Journal of Magnetic Resonance Imaging
- Robust ECG R-peak detection using LSTM (2020) SAC '20: Proceedings of the 35th Annual ACM Symposium on Applied Computing Laitala J., Jiang M., Syrjälä E., Naeini E.K., Airola A., Rahmani A.M., Dutt N.D., Liljeberg P.
- Synthetic minority oversampling of vital statistics data with generative adversarial networks (2020)
- Journal of the American Medical Informatics Association
- The spatial leave-pair-out cross-validation method for reliable AUC estimation of spatial classifiers (2019)
- Data Mining and Knowledge Discovery
- Tournament leave-pair-out cross-validation for receiver operating characteristic analysis (2019)
- Statistical Methods in Medical Research
