Antti Airola
D.Sc. (Tech.)
ajairo@utu.fi +358 29 450 4193 +358 50 517 8711 Vesilinnantie 5 Turku Office: 456H ORCID identifier: https://orcid.org/0000-0002-1010-4386 |
artificial intelligence; data analytics; machine learning; health technology
Antti Airola, is an Assistant Professor (tenure track) of data science in the area of Health Technology at the University of Turku. He has co-authored over 80 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 Academy of Finland and Business Finland funded research projects.
Airola is currently responsible for teaching the course TKO_3103 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.
Airola's main research areas are in the area of machine learning and data science, especially their applications in the health domain. He currently leads two Academy of Finland funded projects related to the area of biomedical interaction prediction, and the Business Finland PRIVASA project on privacy-preserving AI for health data.
- Generalized vec trick for fast learning of pairwise kernel models (2022)
- Machine LearningIEEE Sensors Journal
(Refereed journal article or data article (A1)) - Adaptive risk prediction system with incremental and transfer learning (2021)
- Computers in Biology and MedicineIEEE Transactions on GamesJournal of the American Medical Informatics Association
(Refereed journal article or data article (A1)) - Detecting Aortic Stenosis Using Seismocardiography and Gryocardiography Combined with Convolutional Neural NetworksA comparative study of pairwise learning methods based on Kernel ridge regression (2021)
- Computing in Cardiology
(Refereed article in conference proceedings (A4)) - (2020) JuliaCon Proceedings Michiel Stock, Tapio Pahikkala, Antti Airola, Bernard De Baets
(Other (O2)) - Playtime Measurement with Survival Analysis (2020)
- IEEE International Conference on Advanced Learning TechnologiesIEEE Transactions on Neural Networks and Learning SystemsEuropean Journal of Engineering Education
(Refereed article in conference proceedings (A4)) - Algebraic shortcuts for leave-one-out cross-validation in supervised network inference (2020)
- Briefings in Bioinformatics
(Refereed journal article or data article (A1)) - Classification of Atrial Fibrillation and Acute Decompensated Heart Failure Using Smartphone Mechanocardiography: A Multi-label Learning ApproachSynthetic minority oversampling of vital statistics data with generative adversarial networks2020
(Refereed journal article or data article (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
(Refereed journal article or data article (A1)) - Measuring Player Retention and Monetization Using the Mean Cumulative Function (2020)
(Refereed journal article or data article (A1)) - Propagating AI Knowledge Across University Disciplines- The Design of A Multidisciplinary AI Study Module (2020)
- Frontiers in Education ConferenceBioinformatics
- 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
(Refereed journal article or data article (A1)) - 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.
(Refereed article in conference proceedings (A4)) - (2020)
(Refereed journal article or data article (A1)) - The spatial leave-pair-out cross-validation method for reliable AUC estimation of spatial classifiers (2019)
- Data Mining and Knowledge Discovery
(Refereed journal article or data article (A1)) - Tournament leave-pair-out cross-validation for receiver operating characteristic analysis (2019)
- Statistical Methods in Medical Research
(Refereed journal article or data article (A1)) - (2018)
- Neural Computation
(Refereed journal article or data article (A1)) - Fast Kronecker Product Kernel Methods via Generalized Vec Trick2018
(Refereed journal article or data article (A1)) - How engineers perceive the importance of ethics in Finland (2018)
(Refereed journal article or data article (A1)) - Learning with multiple pairwise kernels for drug bioactivity prediction (2018)
(Refereed journal article or data article (A1)) - (2018)
- IEEE Transactions on Computational Intelligence and AI in Games
(Refereed journal article or data article (A1))