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.
- Predicting pairwise interaction affinities with ℓ0-penalized least squares-a nonsmooth bi-objective optimization based approach∗ (2024)
- Optimization Methods and Software
(Refereed journal article or data article (A1)) - Accelerating Image Processing Using Reduced Precision Calculation Convolution Engines (2023)
- Journal of Signal Processing Systems
(Refereed journal article or data article (A1)) - Budget-based classification of Parkinson's disease from resting state EEG (2023)
- IEEE Journal of Biomedical and Health Informatics
(Refereed journal article or data article (A1)) - Domain randomization using synthetic electrocardiograms for training neural networks (2023)
- Artificial Intelligence in Medicine
(Refereed journal article or data article (A1)) - Empirical evaluation of amplifying privacy by subsampling for GANs to create differentially private synthetic tabular data (2023)
- CEUR Workshop Proceedings
(Refereed article in conference proceedings (A4)) - Enhancing the Reliability of Wearable Cardiac Monitoring using Accelerometer Activity Data (2023)
- Body Sensor Networks Conference
(Refereed article in conference proceedings (A4)) - Evaluating Classifiers Trained on Differentially Private Synthetic Health Data (2023)
- Proceedings (IEEE International Symposium on Computer-Based Medical Systems)
(Refereed article in conference proceedings (A4)) - Cardiac Time Intervals Derived from Electrocardiography and Seismocardiography in Different Patient Groups (2022)
- Computing in Cardiology
(Refereed article in conference proceedings (A4)) - Generalized vec trick for fast learning of pairwise kernel models (2022)
- Machine Learning
(Refereed journal article or data article (A1)) - Higher Education during Lockdown: Literature Review and Implications on Technology Design (2022)
- Education Research International
(Refereed review article in scientific journal (A2)) - Machine Learning Approach for Preterm Birth Prediction Using Health Records: Systematic Review (2022)
- JMIR Medical Informatics
(Refereed review article in scientific journal (A2)) - Multichannel Bed Based Ballistocardiography Heart Rate Estimation Using Continuous Wavelet Transforms and Autocorrelation (2022)
- Computing in Cardiology
(Refereed article in conference proceedings (A4)) - Quicksort leave-pair-out cross-validation for ROC curve analysis (2022)
- Computational Statistics
(Refereed journal article or data article (A1)) - Striving for platform independence in the e-learning landscape: a study on a flexible exercise creation system (2022)
- IEEE International Conference on Advanced Learning Technologies
(Refereed article in conference proceedings (A4)) - Adaptive risk prediction system with incremental and transfer learning (2021)
- Computers in Biology and Medicine
(Refereed journal article or data article (A1)) - Detecting Aortic Stenosis Using Seismocardiography and Gryocardiography Combined with Convolutional Neural Networks (2021)
- Computing in Cardiology
(Refereed article in conference proceedings (A4)) - A general-purpose toolbox for efficient Kronecker-based learning (2020) JuliaCon Proceedings Michiel Stock, Tapio Pahikkala, Antti Airola, Bernard De Baets
(Other (O2)) - AI in Cybersecurity Education- A Systematic Literature Review of Studies on Cybersecurity MOOCs (2020)
- IEEE International Conference on Advanced Learning Technologies
(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 Approach (2020)
- IEEE Sensors Journal
(Refereed journal article or data article (A1))