Antti Airola
D.Sc. (Tech.)
ajairo@utu.fi +358 29 450 4193 +358 50 517 8711 Vesilinnantie 5 Turku Työhuone: 456H ORCID-tunniste: https://orcid.org/0000-0002-1010-4386 |
data-analytiikka; koneoppiminen; tekoäly;terveysteknologia
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 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 EU and Research Council of Finland funded research projects.
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 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.
- (2025)
- IEEE Journal of Biomedical and Health Informatics
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Determining the ground truth for the prediction of delirium in adult patients in acute care: a scoping reviewBenchmarking Evaluation Protocols for Classifiers Trained on Differentially Private Synthetic Data (2025)
- JAMIA OPEN
(A2 Vertaisarvioitu katsausartikkeli tieteellisessä lehdessä) - Predicting pairwise interaction affinities with ℓ0-penalized least squares-a nonsmooth bi-objective optimization based approach∗ (2025)
- Journal of Global OptimizationMachine Learning
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - (2025)
- Methods of Information in MedicineIEEE Journal of Biomedical and Health Informatics
(B1 Vertaisarvioimaton kirjoitus tieteellisessä lehdessä ) - Stochastic limited memory bundle algorithm for clustering in big data (2025)
- Pattern Recognition
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Domain randomization using synthetic electrocardiograms for training neural networks (2024)
- IEEE AccessBody Sensor Networks Conference
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Does Differentially Private Synthetic Data Lead to Synthetic Discoveries? (2024)
- Methods of Information in MedicineOptimization Methods and Software
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - (2024)
- Computers in Biology and Medicine
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Evaluating Piezoelectric Ballistocardiography for Post-Surgical Heart Rate Monitoring (2024)
- Computing in CardiologyProceedings (IEEE International Symposium on Computer-Based Medical Systems)
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa) - Finnish perspective on using synthetic health data to protect privacy: the PRIVASA project (2024)
- Applied Computing and Intelligence
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - (2024)
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Accelerating Image Processing Using Reduced Precision Calculation Convolution Engines (2023)
- Journal of Signal Processing Systems
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Budget-based classification of Parkinson's disease from resting state EEG (2023)
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - (2023)
- Artificial Intelligence in Medicine
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Empirical evaluation of amplifying privacy by subsampling for GANs to create differentially private synthetic tabular data (2023)
- CEUR Workshop Proceedings
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa) - Enhancing the Reliability of Wearable Cardiac Monitoring using Accelerometer Activity Data (2023)
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa) - Evaluating Classifiers Trained on Differentially Private Synthetic Health Data (2023)
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa) - Cardiac Time Intervals Derived from Electrocardiography and Seismocardiography in Different Patient Groups (2022)
- Computing in Cardiology
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa) - Generalized vec trick for fast learning of pairwise kernel models (2022)
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Higher Education during Lockdown: Literature Review and Implications on Technology Design (2022)
- Education Research International
(A2 Vertaisarvioitu katsausartikkeli tieteellisessä lehdessä)